国际新闻界

WAIC 2026落幕，企业级智能体的发展共识，藏在迈富时的展台里

Fri, 24 Jul 2026 16:39:32 +0800

——谁建好了“地基”，谁就拿到了下半场的船票

WAIC 2026进入尾声，展馆里的机器人不再翻跟头了，大模型厂商也不再拿参数说事了。取而代之的，是真实工厂的部署案例、物流仓储的调度方案、门店里的AI导购和医院里的辅助诊断。

如果用一个词概括这届WAIC的转向，那就是：落地。

但“落地”这个词太笼统。真正值得追问的是：落地需要什么？谁有资格让AI真正跑进企业的经营流程里？

迈富时展台给出的答案，可能是这届WAIC最具辨识度的行业判断。

从“有多少模型”到“有没有地基”

过去两年，AI投资围着模型参数、GPU算力和Token消耗打转。企业问的是：“哪个模型最聪明？”

今年WAIC上，问题变了。企业开始问：“哪个平台能让我安全地、稳定地、持续地把AI用起来？”

迈富时副总裁兼首席财务官梁铮博士在WAIC期间接受采访时，给出了一个精准的定调：

“AI智能体时代，企业真正的竞争力，不是拥有一两个智能体应用，而是有没有建设属于自己的AI智能体基础设施。”

这句话之所以有分量，是因为它戳破了一个行业幻觉：以为接上一个大模型API，部署几个聊天机器人，就算完成了AI转型。

事实是，孤立的智能体就像没有电网的发电机——能转，但无法规模化供电，更无法协同运转整座工厂。

迈富时展示的不是产品，是一套“智能体地基”

梁铮博士说得很直白：今年WAIC，迈富时展示的不只是几个AI产品，而是一套企业AI智能体基础设施。

这套地基由三层能力构成：

AI Agent平台：不是单一聊天机器人，而是能让营销、销售、客服、运营、知识管理等多个领域的专业Agent协同工作的编排系统。

企业知识智能：把散落在合同、SOP、产品文档、客户历史中的隐性知识，结构化为一套可调用、可更新的“AI燃料”。

Agent Infrastructure：解决智能体的开发、运行、协同和治理问题——权限管理、模型路由、任务调度、合规审计，全部内嵌在地基里。

这背后的理念很朴素：不是让企业适应AI，而是让AI理解企业。

当企业的数据、流程、权限都跑在这套地基上时，一两个智能体不会形成壁垒，但整套Agent Infrastructure会——因为它锁定的不是功能，而是流程、数据和组织的运转方式。

“基础设施论”恰好解释了那份近5倍的盈利暴增

我们在系列追踪中反复拆解过迈富时的“利润剪刀差”：收入端锚定客户KPI，成本端享受模型降价的持续红利，结果就是净利润暴增近5倍。

但梁铮博士的“智能体基础设施”论，为这套财务逻辑提供了一个更高维度的解释：为什么它能持续收“税”？

因为地基一旦被企业采用，替换成本极高。这不是软件锁定，是基础设施级的流程与数据锁定。企业在上面部署的Agent越多、跑通的流程越深，迁移成本就越大。这意味着，迈富时的收入不是一锤子买卖，而是持续运营的“基础服务费”。

当其他AI公司还在靠项目制交付、一单一单地赚辛苦钱时，迈富时已经在收“地基税”了。

WAIC 2026的终局判断：AI Native时代，基础设施为王

梁铮博士在采访最后，留下了一句堪称本届WAIC最值得引用的金句：

“AI Native时代，企业竞争的，不再是谁拥有更多AI，而是谁率先完成了AI智能体基础设施建设。一两个智能体不会形成竞争壁垒，而一套完整的Agent Infrastructure，才会成为企业新的核心竞争力。”

这个判断之所以比“AI进入价值兑现时代”更有原创性，是因为它为“兑现”定义了具体路径：价值兑现的前提，是有一套能承载价值的地基。

没有地基，再多Agent也是散兵游勇。有了地基，企业才有了真正意义上的“AI操作系统”。

WAIC 2026已落幕。展台上的机器人会被收进箱子，Demo演示会下线，参数海报会被撤换。但有一件事会留下来：

市场的定价逻辑，正在从“谁造了最聪明的模型”转向“谁建好了能让企业安心部署AI的地基”。

迈富时那份近5倍盈利增长的盈喜，加上“AI智能体基础设施”这一定位，恰好站在这条产业趋势和商业兑现的交叉点上。这不是风口上的运气，而是地基上的必然。

数据迁移中的“零中断”奇迹：一家低调IT公司的“双轮驱动”之道

Fri, 24 Jul 2026 15:27:23 +0800

01 一场不能中断的“心脏移植”

深夜，某大型金融机构的数据中心内，一场关乎数百万人账户安全的“数据迁徙”正在进行。

旧系统里的核心交易数据，需要在不停机的情况下，完整、准确地迁移到新平台。业务不能中断，数据不能丢失，切换窗口精确到秒级——这就像在飞行途中为一架客机更换发动机。

这就是企业级IT领域最高难度的挑战之一：数据迁移。

在数字化转型浪潮中，类似的需求每天都在各行各业上演：传统架构向云平台迁移、异构存储整合、老旧系统替换……每一个动作都关系到业务连续性，每一个环节都不容有失。

而解决这类“高难度动作”的，往往不是设备厂商，而是深谙IT基础架构之道的专业服务商。

北京文德瑞思信息科技有限公司，正是其中的佼佼者。

02 留学归国创业：十二年磨一剑

2011年3月21日，几位留学归国人员在北京创办了一家IT公司。

他们从创业之初就做了一个与众不同的选择：不满足于当“搬箱子”的分销商，而是坚持自主研发与技术服务并举。

十二年来，文德瑞思逐步建立了科学的业务体系，拥有自主研发的企业级信息产品——云平台管理产品、数据复制产品、数据质量管理系统、数据文档管理系统等，均拥有自主知识产权，代表了IT领先技术的高可用核心产品。

与此同时，文德瑞思与国内外顶级IT企业建立了深度合作，是阿里云、IBM、Oracle、Microsoft、SAP等软件厂商的战略合作伙伴。

左手是自主研发的核心产品，右手是国际巨头的深度合作——这就是文德瑞思的“双轮驱动”模式。

如今，文德瑞思已成长为拥有高水平产品研发及项目实施体系的高新技术企业，业务覆盖全国市场，长期稳定地为金融、电信、能源、政府、交通运输等众多行业客户提供高可靠、全方位的IT解决方案。

03 两条腿走路：核心产品与解决方案并进

文德瑞思的业务体系可以用两句话概括：产品是根基，解决方案是拳头。

在核心产品层面，文德瑞思坚持“研制拥有自主知识产权、代表IT领先技术的核心产品”。其产品线涵盖了云平台管理、数据复制、数据质量管理、数据文档管理等关键领域。这些产品不仅支撑着客户的IT系统运行，更为后续的定制化解决方案提供了灵活的技术底座。

在解决方案层面，文德瑞思形成了四大核心能力板块：

IT迁移解决方案——这是文德瑞思最具代表性的能力之一。采用成熟的“IT迁移方法论”为指导，把握从“启动—调研—方案编写—POC—实施—试运行—验收”中的每一个环节，特别注重POC（概念验证）阶段的工作，真正做到用数据说话，实现迁移过程业务不中断、数据不丢失的可连续运营需求。

私有云解决方案——文德模块化私有云是一套高效、已验证的数据中心私有云解决方案，涵盖云计算平台、服务器虚拟化、存储虚拟化、桌面虚拟化四大模块。无论是已经采用虚拟化但面临“多品牌异构”管理难题的用户，还是仍停留在“烟囱式”架构的传统用户，都能在这里找到通向云端的清晰路径。

灾难恢复解决方案——遵循业务连续性管理理论和国家、行业规范，针对客户业务进行潜在风险定量评估，计算业务停顿风险和损失，结合管理流程制定灾备策略。从咨询、规划到实施、演练，文德瑞思提供端到端的灾备能力。

数据库优化解决方案——以降低业务响应时间、消除瓶颈和潜在风险、规范应用开发代码为目标，帮助客户从数据库层面提升整体系统性能。

这四大解决方案覆盖了IT系统从迁移、建设、优化到灾备的全生命周期，形成了完整的能力闭环。

04 “懂技术”更“懂业务”

文德瑞思的官网有一个“混合云实验室”。这个实验室的使命是“汇聚测试、展现、改进各类解决方案”——把理论变成可验证的实践，把方案变成可落地的结果。

这正是文德瑞思区别于单纯产品代理商的关键所在。

创始人团队的留学背景和国际视野，让文德瑞思在技术路线上始终保持着对前沿趋势的敏感度；而深耕中国市场十二年的经验，又让它深刻理解本土客户的真实需求和痛点。

“将管理理论、客户需求、IT技术和公司产品相结合”—— 这句写在公司介绍里的话，背后是一整套服务逻辑：不只关心“技术能不能实现”，更关心“方案能不能解决客户的业务问题”。

05 价值观的力量：三个“负责”

在文德瑞思的企业文化中，有一段朴素的经营之道：

“为客户负责、为投资者负责、为员工负责。”

三个“负责”，层层递进。

为客户负责，是要求每一条解决方案都经得起真实场景的考验，每一个项目都能交付承诺的结果；为投资者负责，是用稳健的经营和持续的成长来回报信任；为员工负责，是在“诚实守信、严谨负责、共同成长、持续创新”的价值观下，让每一位加入者都能获得真正的成长。

“立志成为中国最优秀的企业级信息产品及解决方案提供商”——这个愿景，文德瑞思已经追求了十二年，并仍在继续。

06 写在最后

2026年，数字化转型已进入“深水区”。企业面临的早已不是“要不要上云”“要不要数字化”的问题，而是“如何安全地迁移”“如何稳定地运行”“如何高效地创新”的问题。

在这个阶段，像文德瑞思这样深耕基础架构领域十二年、拥有自主研发能力和完整解决方案的IT服务商，正在扮演越来越关键的角色。

它不是舞台中央的主角，却是幕布背后不可或缺的支柱。 当一家金融机构完成核心系统的平滑迁移，当一家企业的数据中心顺利“上云”，当一次灾难恢复演练在无人察觉中成功完成——这些“无声的胜利”背后，都有文德瑞思这样的公司在默默托举。

数据迁移做到业务零中断，私有云实现异构资源池整合，灾备方案覆盖全生命周期，数据库优化让系统效率倍增——文德瑞思用十二年的精耕细作，证明了一件事：做IT基础架构这件事，慢即是快，稳即是赢。

从2011年走到今天，它仍然在践行那句创业之初就定下的使命——“致力于成为推进中国信息化进程的领航者。”

健康筑家·向绿而生百安居盛夏焕新环保护航品质家装

Wed, 22 Jul 2026 15:28:36 +0800

步入七月，夏季的高温与多雨，往往让家装材料的环保表现和施工细节面临更直接的考验。正因如此，当下正是检视居住品质的好时机——人们对家的期待，已不止于美观实用，更倾向于宜居、低碳与长久的健康保障。深耕家居家装行业二十七年，百安居深知夏季装修中的实际难点，以成熟的环保管控体系和严谨的施工标准，从选材源头到工艺落地层层把关，确保每一处细节都经得起时间与使用的检验，为万千家庭构筑安心、可持续、耐住长久的理想居所，让健康品质成为生活的底色。

把绿色“种”进家，环保工艺与施工标准贯穿装修全周期

健康家装源于对全流程的把控，百安居打造了闭环的环保家装体系，覆盖环保量房、环保设计、环保评估、环保选材、环保施工、竣工检测等关键环节，将绿色标准贯穿装修全生命周期。在量房与设计阶段，结合户型通风、采光、人居习惯科学测量，预估房屋各项材料的用量。进入选材环节，品牌坚持严苛的环保材料准入标准，保障每一户家装都能实现绿色安心的居住空间。

夏季是检验绿色施工能力的适宜时机，良好通风条件有助于装修材料中微量物质自然缓释，是落地环保家装、缩短入住周期的理想时段，但高温蒸发快、雨季湿度波动大，对墙面处理、基础养护、材料适配提出更高要求。进入环保施工阶段，百安居拥有9大净享环保工艺，改变传统施工工艺可能造成的污染，通过防尘降噪、无尘开槽等施工工艺，减少装修粉尘污染。吊顶石膏板处理、瓷砖铺贴、无胶无尘涂刷等核心工艺，能够有效防锈防潮防霉，针对性解决盛夏潮湿、高温引发的装修问题，从源头全方位控制污染源释放。

七月焕新权益，品质家装省心更实惠

伴随七月家装焕新热潮，品牌推出多项月度焕新权益：全场精选建材低至7.5折，瓷砖、地板、卫浴、定制等全品类主材均有专属让利；签约客户可获赠全屋电改，签单满额再赠送床垫，同时免费提供环保量房、方案定制、专业施工咨询等增值服务。在坚守环保工艺标准、不降低服务品质的前提下，帮助消费者在旺季装修中兼顾品质与实惠，高效完成居家空间的健康升级。

在家装行业迈向标准化、绿色化的大背景下，家装的标准与工艺最终都应落脚于更踏实的居住体验。百安居提供更透明、更健康、更稳定的一站式整装服务，守护万千家庭的居家健康。七月暑盛，万物蓬勃生长，也是家焕发新生的好时节。愿每一份对家的期待，都能收获健康舒适的好房子。

智汇三亚少年逐光——2026 世界机器人大赛华南锦标赛（三亚）开幕

Tue, 21 Jul 2026 18:59:29 +0800

2026年7月21日，被誉为“机器人界奥林匹克”的2026世界机器人大赛华南锦标赛（三亚）在三亚红树林国际会展中心正式开幕。继2025年赛事首次落地三亚、掀起海南全域科创热潮后，本届赛事全面升级扩容，以华南区域核心锦标赛规格再度扎根鹿城，上万名来自全国多省市及海外地区的青少年创客集结鹿城，在碧海蓝天间上演人工智能与机甲科技的巅峰对决，持续以“科技+文旅”融合模式，为海南自贸港科创人才培育、文旅产业升级注入全新动能。

世界机器人大赛由中国电子学会主办，连续多年入选教育部面向中小学生全国性竞赛白名单，赛事成绩实现多国国际互认，是全球规模最大、专业性最强的青少年机器人竞技平台之一。

2026世界机器人大赛华南锦标赛（三亚）重磅升级，正式升格为华南区域核心科创锦标赛，实现赛事规模、赛项内容、服务配套的全面提质增效。赛事于7月20日至24日在三亚举行，为期5天，汇聚超7000支队伍、10000余名青少年选手参赛，覆盖广东、广西、福建、云南、贵州、海南等华南、西南全域。其中还有来自乌兹别克斯坦、马来西亚、加拿大的50余名国际选手，搭建起跨国界的青少年科创交流平台。赛事开设五大核心类别、七大组别、六十余个前沿竞赛赛道，配套专业调试区、仲裁中心与科创成果长廊，同时由院士、高校教授、行业工程师组成权威裁判团队，筑牢赛事专业公平的办赛底色。

本届赛事立足三亚区位资源与自贸港发展优势，深度探索“科技+文旅”跨界融合创新模式，推动科创赛事与本地文旅产业、研学业态深度联动、双向赋能，构建多元化、全域化的科创文旅新生态。赛事以赛为媒，打通科创教育与文旅研学融合发展路径，丰富自贸港文体科创场景供给，助力科创知识普及与科创教育普惠落地。

本次赛事由中国电子学会与海南爱彼数智集团联合主办，联动三亚多部门组建专项保障专班，全方位优化交通、食宿、医疗、安保、电力等全流程配套服务。赛事全程开启高光直播，联动各级媒体全程报道，集中展现华南青少年创新风貌。本届升级赛事是对2025年赛事成果的延续与升级，是立足华南、辐射全国的科创战略布局，未来将持续落地高水平科创赛事，打造海南对外科创交流名片，以青少年科创力量赋能自贸港高质量发展。

通稿来源：赛事组委会

2026 世界机器人大赛华南锦标赛（三亚）即将开赛

Mon, 20 Jul 2026 11:16:06 +0800

海风揽科创，少年竞锋芒！继去年首届落地三亚圆满收官、掀起海南科创热潮后，万众期待的2026 世界机器人大赛华南锦标赛（三亚站） 再度登陆鹿城，升级启幕！

赛事核心信息

活动时间：2026 年 7 月 20 日 —7 月 24 日

活动地点：三亚市红树林会展中心

作为被誉为机器人界奥林匹克、教育部官方白名单权威科创赛事，本届赛事规模全面扩容、热度再攀新高，预计汇聚全球上万名经层层选拔的精英少年齐聚三亚。五大核心竞赛大类、七大参赛组别、六十余个前沿竞赛赛道同步开启，覆盖人工智能、人形机器人、机甲对抗、地空协同、生态科创、工程搭建等多元方向，全方位搭建全球青少年智慧碰撞、技术切磋的顶尖舞台。

回首去年，科创热潮燃动三亚

2025年赛事首次落地三亚红树林会展中心，数千支队伍、近万名选手同台竞技，毫米级机械操控、自主智能算法、海洋生态主题机器人创意轮番上演，赛场既有热血机甲对抗，也有温柔科技护海创意，以 “科技 + 文旅” 融合模式，为海南自贸港注入鲜活科创力量，收获学校、家长、行业专家一致好评。

时隔一年，荣耀再续，赛场全面升级：

● 参赛规模翻倍：上万名优秀选手集结，多地区、多国参赛队伍同台交流，拓宽国际科创视野

● 赛项全面丰富：60 + 竞赛方向覆盖低龄启蒙、工程竞技、AI 智能、开源创新全年龄段赛道，小学至高中分层设组，新手、资深战队皆有专属赛场

● 专业规格拉满：标准化竞赛场地、全套专业设备调试区、权威裁判团队、完整开幕式 + 竞技比拼 + 颁奖盛典流程，赛事体验全面升级

● 自贸港科创名片：立足三亚滨海特色，融入海洋、生态、海岛智造主题赛题，让少年创客以科技视角读懂海南

这场顶级赛事，值得每一位少年奔赴

◆ 权威赛事，综评硬核加分

连续多年入选教育部中小学生全国性竞赛白名单，官方认证获奖证书，可纳入综合素质评价档案，为校内评优、特长升学、实践履历提供核心竞争力支撑，成绩支持国际赛事互认。

◆ 以赛促学，全方位锻炼综合能力

从机器人结构搭建、代码编程调试，到赛场战术规划、团队分工协作、临场问题应急解决，告别纸上谈兵，在真实竞技中打磨工程思维、逻辑能力、创新创造力。

◆ 跨地域交流，遇见同频科创伙伴

与全国各地、海外优秀创客面对面交流，交换创意思路，切磋技术方案，在比拼中结识志同道合的机甲同好，拓宽全球科创眼界。

◆ 山海赛场，解锁独特参赛体验

在椰风碧海的三亚参与全国顶级机器人大赛，竞技之余感受自贸港风光，打造独一无二的暑期科创成长记忆。

委会暖心加码｜大赛专属绿色通道上线

为全方位服务所有参赛选手、教练员及随行亲友，组委会专属打造大赛一站式绿色通道小程序，一码解锁三亚游玩、购物全维度专属权益，竞技之余，在椰风海岛放心游、安心购！

“商城出海·掘金西非”2026临沂&尼日利亚线上选品会暨1688nigeria一站式出海论坛圆满落幕

Mon, 20 Jul 2026 10:45:30 +0800

7 月 18 日，“商城出海・掘金西非”2026 临沂 & 尼日利亚线上选品会暨 1688nigeria 一站式出海论坛在临沂成功举办。本次活动由临沂市进出口贸易协会、临沂市跨境电子商务协会、橙云出海生态服务平台、1688nigeria 平台联合主办，苏州嘉棠文化传播有限公司、杭州橙云出海科技有限公司承办，临沂税管家外贸综合服务有限公司协办。

活动立足临沂产业链与商贸资源优势，聚焦尼日利亚西非第一大市场，通过政策解读、行业分享、资源对接、战略合作等多元形式，为临沂工厂打造 “线下 + 线上” 一体化出海对接盛会，吸引了临沂各产业带百余家制造企业到场参与，现场成果丰硕。

会议开始,现场共同观看了来自尼日利亚阿南布拉州市场贸易特约顾问埃瓦里斯特·乌巴对本地大会的预祝视频,视频中埃瓦里斯特顾问邀请中国企业到尼日利亚考察,希望更多中国优质的企业到尼日利亚扎根,也希望更多尼日利亚的本地特色产品出口到中国.

山东省人民政府研究室原党组成员、副主任，中共山东省委党校（山东行政学院）MPA 校外导师，山东财经大学区域经济学硕士校外导师，齐鲁工业大学（山东省科学院）文化产业研究院（乡村振兴研究院）首席专家、教授苟成富出席活动并致开幕辞。他从全省外贸高质量发展的战略高度出发，指出尼日利亚等 “一带一路” 沿线新兴市场是山东外贸稳增长、拓空间的核心增量方向，充分肯定了 1688nigeria 平台赋能中小企业诚信出海、抱团出海的实践价值，鼓励临沂企业抢抓西非市场增长红利，以过硬品质与合规经营打造鲁商出海新名片。

临沂商城管委会国际贸易服务科韩丽现场深度解读《临沂商城出海政策》，系统梳理了当前临沂商城支持企业跨境拓展的扶持举措与申报路径，为本土企业明确了政策红利方向与合规出海准则。为企业“走出去,引进来”提振了信心.

临沂商城集团副总经理、临沂市进出口贸易协会会长傅海滨以《商城出海战略部署・尼日利亚蓝海市场》为题，阐释了临沂商城全球化发展的整体规划，点明尼日利亚市场与临沂五金、建材、轻工百货等优势产业的高度适配性，提出以本土化平台为抓手，推动商城商户组团开拓西非市场的落地路径。

临沂市跨境电子商务协会秘书长蔺天一围绕《临沂制造业品牌出海的战略意义》展开分享，指出临沂制造正处于从 “产品输出” 向 “品牌输出” 升级的关键节点，垂直类本土化 B2B 平台是制造企业轻量化、低成本落地海外市场的核心跳板，是产业带实现高质量出海的最优通路。

尼日利亚籍行业专家1688nigeria平台国际事业部总监 Greg（Li Ming）以《我来自非洲：快速崛起的新大陆》为主题，从本土视角拆解了尼日利亚的消费生态、商业规则与采购偏好，为在场企业呈现了真实鲜活的西非市场图景，破除了企业对非洲市场的信息差与认知误区。

橙云出海生态服务平台创始人、1688nigeria 平台创始人船长带来《尼日利亚外贸新模式 4.0 本土化 B2B+1688nigeria 新机遇》重磅分享。他表示，传统外贸模式存在获客成本高、流量不精准、效果无保底等痛点，1688nigeria 依托私域流量壁垒、本土社媒矩阵获客、智能算法匹配三大核心能力，打造 “保底询盘 + 全链路服务” 的确定性出海方案，直击工厂 0-1 出海尼日利亚的全流程痛点，让中小企业无需自建团队、无需高额投流，即可低成本开拓西非市场。1688niegria平台致力于成为中国工厂出海尼日利亚的一站式服务平台,同时也是尼日利亚批发商的源头工厂采购平台。

本次论坛的重磅环节，1688nigeria 平台分别与速达非、山东税管家财务集团签署战略合作协议，同时活动得到稠州银行的大力支持，标志着平台 “获客 + 物流 + 金融 + 财税” 的全链路出海服务闭环正式成型。

其中，与速达非的战略合作将聚焦中非跨境物流与尼日利亚本土清关配送，依托速达非深耕非洲专线十年的本土网络与清关优势，为合作工厂提供时效稳定、全程可溯的门到门物流解决方案，破解非洲市场清关难、丢件多、时效不可控的行业痛点。

与税管家的战略合作将围绕外贸出口退税、财税合规与风险规避展开，由税管家专业团队为出海企业提供全流程财税服务，帮助企业合规降本、足额享受退税红利，从源头规避财税经营风险。

稠州银行为本次活动及合作企业提供跨境收款开户等专属金融支持，打通安全合规的资金链路，解决企业出海回款慢、资金风险高的后顾之忧。

下午场活动中，山东税管家财务集团创始人、临沂跨境电商协会特邀进出口退税顾问孙美莲带来《2026 企业出口退税政策解读与风险规避》专题分享，结合最新政策要求与实操案例，为企业讲解出口退税的核心要点、申报流程与风险防控方法。

速达非义乌分公司总经理刘江以《速达非・非洲一站式门到门解决方案》为题，详细介绍了中非专线的物流产品体系、本土清关能力与全境配送网络，为企业提供了适配尼日利亚市场的物流选型参考。

随后的参会企业路演选品与现场答疑环节，多家临沂优势产业带企业上台展示核心产品与产能实力，精准对接尼日利亚采购需求；嘉宾团队针对企业提出的市场拓展、平台入驻、合规经营等问题逐一解答，现场对接交流氛围热烈。活动当晚还设置了晚宴交流环节，供参会嘉宾与企业代表深入沟通、深化合作意向。

本次论坛立足临沂产业带核心优势，精准锚定尼日利亚蓝海市场，通过政企协多方联动、生态资源深度整合，为临沂工厂搭建了一条低成本、低风险、全闭环的西非出海通路。未来，1688nigeria 平台将持续深化本土运营能力，联动物流、金融、财税等优质生态伙伴，助力更多临沂制造走出国门、掘金西非，推动临沂商城出海迈向更高质量的发展阶段。“出海尼日利亚,就找1688nigeria”未来期待1688nigeria带领万家工厂出海尼日利亚。

当书写不再阅读《无界书》秦风作品展

Fri, 17 Jul 2026 16:12:15 +0800

书写，是人类文明最古老的创造行为之一。当文字脱离语言，它是否仍能作为一种视觉经验存在？作为中国当代艺术最具代表性的艺术家之一，秦风四十余年来持续探索中国书写传统在当代艺术中的可能性。自上世纪九十年代，他将书法、水墨与抽象绘画不断融合，发展出兼具东方精神与国际视野的创作语言，成为当代中国艺术国际化进程中的重要艺术家之一。

天趣当代艺术于7月10日揭幕秦风个展「无界书」，展览汇集《欲望风景》《实用主义哲学》《天圆地方》《度日如年》等多个重要系列，呈现艺术家关于书写、文明与生命经验的持续思考，展期至8月15日。

开幕式现场

艺术家秦风

展览以本次展出中最重要的《欲望风景》系列作为开篇——以巨大的笔墨，圆形的油画框，缠绕画面的红线吸引所有观众的视线。

作品中央巨大的黑色书写形体，如同天空中一个个正在生成的文字残片。他们看起来像文字，但其实没有任何阅读的可能，更像是一个文明留下来的符号。红线并不是画面的主角，它始终保持极细、极克制，却具有极强的结构力量。

中国传统书法与水墨原本依附于手卷、册页、立轴，它们可以展开、卷起，是一种具有时间性的观看方式；而西方油画则是一个固定的窗口，具有稳定的观看边界。秦风刻意保留这个矩形结构，让两种艺术史在同一件作品中相遇。

与此同时，以笔触突破「框」边界，书写并不愿意被任何文化体系所限制。从而呼应展览「无界书」提出的概念:书写已经不属于任何文明，也不再服务于阅读，而是一种跨越文化的精神行为。

Qin Feng 秦風 Desire Scenery Series 欲望風景系列，2025，Acrylic and ink on linen paper丙烯、墨、亞麻紙，200 x 160 cm

Qin Feng 秦風 Desire Scenery Series 2025-10-9欲望風景系列2025-10-9，2025，Acrylic and ink on linen paper丙烯、墨、亞麻紙，200 x 160 cm

Qin Feng 秦風 Desire Scenery Series 2025-10-10欲望風景系列2025-10-10，2025，Acrylic and ink on linen paper丙烯、墨、亞麻紙，200 x 160 cm

步入展厅中央，一件长达六米的立轴成为整个空间的视觉核心。作品自高处垂落漫延至地面，突破了传统卷轴的观看方式，使书写从平面进入真实空间；围绕其展开的《实用主义哲学》折扇装置，则借由折扇天然的开合结构，将中国传统书写媒介转化为空间装置。观者在作品之间穿行，观看距离不断变化，书写也由视觉经验延伸为一种身体经验。

中：Qin Feng 秦風 Desire Scenery Series 0417欲望風景系列 0417，2011，Acrylic and ink on antique-style xuan paper丙烯、墨、仿古宣，600 x 140 cm / 兩側扇子：Qin Feng 秦風 Pragmatist Philosophy V實用主義哲學之五，2016，Ink on xuan paper, wood宣紙、墨、木料，69 x 35 x 5 cm each

创作于早期的《度日如年》系列在这些年中极少对外呈现，艺术家将这个系列归纳为:「是日的漫长，是年的渺小，历史是我们赖以编织未来的，那根来自过去的线脉。每一个被凡人认真渡过的日，都在为文明铸一个被后人仰望的年。」秦风将对于时间感受，转化为一种可观看的精神景观，并且更多呈现画面感，而非书写性。质朴有趣，令人想起八大山人的小品。

《天圆地方》系列则是秦风少有的小幅作品。这个系列以金石碑文为主要描绘内容，每一块碑文都是一片历史的碎片，令观者遥望遥远的时空。这些碑与石是没有生命的死物，但却超越了个体生命的限制。这一系列作品印证了现代主义发起人阿基利‧博尼托‧奥利瓦(Achille Bonito Oliva)对于秦风的评价:「秦风的古典主义风格立足于对生命有灵的各种可能性以及宇宙万物不怀任何偏见的接受。

Qin Feng 秦風 Days Like Years 度日如年系列，2008，Acrylic on canvas 布面丙烯，110 x 60 cm

Qin Feng 秦風 Round Sky and Square Earth Series天圓地方系列，2021，Acrylic and ink on rice paper皮紙、丙烯、墨，70 x 70 cm

从自然材料到文明书写，从宏大的历史叙事到个体生命经验，这些作品共同勾勒出秦风四十余年来不断拓展媒介边界与精神维度的创作轨迹。秦风始终关注的并非书法本身，而是书写这一行为所承载的人类文明经验。在他的作品中，墨迹既不是文字，也不是图像，而是一种介于历史、身体与精神之间的存在。

「无界书」最终邀请观众重新思考:当所有语言都失去意义之后，是否仍有一种超越文字的书写，能够跨越文化、时间与地域，被每一个人所感知。

Qin Feng 秦風Desire Scenery Series 欲望風景系列，2014，Acrylic and ink on canvas丙烯、墨、油畫布，100 x 80 cm

Qin Feng 秦風 Desire Scenery Series 0100 欲望風景系列 0100，2011，Ink, tea, coffee, and mulberry paper水墨，茶，咖啡，絲棉紙，151 x 95 cm

秦风:无界书

策展人:林秉瀚

出品人:张朱宇博士

展览时间:2026年7月10日至8月15日

展览地点:天趣当代艺术中环(香港中环皇后大道中18号新世界大厦2期2楼全层)

开放时间:周一至周六 10 AM - 7 PM，星期日及公众假期休息

关于艺术家秦风，1961年出生于中国新疆，1985年毕业于山东工艺美术学院，1991年创建北京当代艺术馆（中国第一家私立艺术馆），1996年受德柏林市政府邀请担任艺术大使，曾客座任教于柏林艺术大学及中央美术学院，现为哈佛大学当代艺术研究员。作品以「后现代水墨」著称，是被博物馆及艺术机构收藏作品最多的当代艺术家之一。

正在展出的其他展览：

2026 世纪对话——吴冠中与秦风艺术特展（北京当代艺术馆，展览时间持续至2026年8月31日）

秦风在此次展览的世纪对话：关于我个人的艺术在西方尤其在欧洲，同期和吴先生也在，他在巴黎，我在柏林，这个期间呢，我们有过短暂的这种接触和碰撞，但由于之后在美国生活一段时间，把它放下了，隔开了。所以说今天能有机会和吴先生呢，就是在我的这个馆里面进行一个对话，这也就像一个两代同仁，在北京这样一个特殊的地方相会相遇、相互交流，由于他仙逝，而我在此做这样一个活动，其目的也很单纯，就是希望艺术家文化艺术活动以及知识分子，应该用一种对话交流等等的方式，来建构一种可能的一种有价值的一种美学观念，为这个社会、这个大背景下的一个艺术氛围能添一点有趣的色彩，这是我们两代人比较大胆的一个尝试。一脚踩到西方几十年，再一脚踩回来，大胆做这样一个文化艺术和公共艺术的一个尝试和拓展，从理论上、教学上以及就是社会践行上面做出了应该说是不可磨灭的贡献，这一点我自认为这是我对社会最大的贡献，吴先生也是如此。所以从未来的艺术拓展性上面与社会关系会给后人留下一个可参考的一个方法、一个形式和一个全新的一种媒介，我觉得这是有价值意义的一种尝试。就对于这个展览，就我个人作品本身，这些年我也在继续尝试一些全新的媒介，会用AI系统以及身后这样一个概念、一个古老的记忆和一个载体，还与今天的人、今天的文化现象以及美学领域的一些术语，进行一个对话和交流。

以往展览花絮：

2025秦风45年艺术展

2024年向内看——不一样的秦风艺术展

2023年上海春美术馆“后觉”展

2022年香港巴赛爾藝術展

2021年北京四季酒店“西风东水”个展

2019年米兰大皇宫博物馆《神殇》展

2017年德国汉堡圣卡特琳娜大教堂“邂逅天使”个展

“威尼斯建筑双年展·秦风特展” 2016（威尼斯）

主要个展:

2025 秦风/45年艺术展，北京当代艺术馆，北京，中国

2024 向内看——不一样的秦风，元典美术馆，北京，中国

2024 水墨与中国表现:秦风&张方白双个展，天趣当代艺术中环，香港，中国

2023 秦风:后觉，春美术馆，上海，中国

2022 香港巴塞尔艺术展，香港会议展览中心，香港，中国

2021 西风东水 — 秦风个展，幻艺术中心，北京，中国

2019 Ed Moses &秦风，BlainlSouthern，伦敦，英国

2018 零界，史丹佛大学艺术中心，加州，美国

2017 邂逅天使 — 秦风个展，圣凯瑟琳大教堂，汉堡，德国

2017 佳士得上海特展，上海，中国

2016 迎风:秦风特邀展，威尼斯双年展，威尼斯，意大利

2015 山水社会及欲望风景，巴塞尔艺术中心，瑞士，德国

2015 墨变:秦风个展，圣乌尔班当代艺术博物馆，卢塞恩，瑞士

2015 布鲁斯比斯利—秦风对话展，北京当代艺术馆，北京，中国

2015 秦风个展，亚洲艺术中心，台湾，中国2014秦风个展，世界画廊，香港，中国

2014年北京当代艺术馆、亚洲艺术中心（台北）

2013年 Banbro（香港）

2012 西风东水，帕特里夏和菲利普弗罗斯特艺术博物馆，迈阿密，美国

2012 秦风:欲望风景，上海美术馆，上海，中国

2012年世界画廊（香港）

2011年上海美术馆（上海）

2010年佛罗斯特美术馆（迈阿密）

2009 秦风 — 版画与单刷版画，佩斯画廊，纽约，美国

2009年克罗亚洲艺术馆（达拉斯）

2008 秦风个展，哈佛艺术博物馆，剑桥，美国

2003年纽约亚洲博物馆（纽约）

2001 秦风个展，亚洲文化中心，纽约，美国

1999 秦风个展，拉布画廊，柏林，德国

主要群展:

2019 艾德‧摩西与秦风，Blain Southern画廊，伦敦，英国

2018 墨境，斯坦福大学康特艺术中心，旧金山，美国

2017 佳士得上海站特展，上海，中国

2006 水墨:中国的书写艺术，大都会艺术博物馆，纽约，美国

参与展览

威尼斯双年展、纽约大都会博物馆亚洲艺术展、大英博物馆收藏展、波士顿博物馆联展等数百次国内外联展

收藏及社会活动

作品被大英博物馆（伦敦）、纽约大都会博物馆、波士顿博物馆等数十家博物馆收藏。曾荣获国际艺术贡献奖和国家艺术贡献奖等数十个国内外艺术奖项。参与苏富比、佳士得等国内外艺术活动。近百件作品捐赠于艺术教育、战争灾难、孤儿救助等公益项目。

Research on Blockchain Boosting the Integrated Development of the Digital Economy and Real Economy

Wed, 15 Jul 2026 15:08:30 +0800

Research on Blockchain Boosting the Integrated Development of the Digital Economy and Real Economy

Authors: Fnu Oudom

Abstract

The digital transformation of the real economy has become the core battlefield of a new round of global digital competition. Restricted by institutional dilemmas including lack of cross-subject trust, ambiguous confirmation of data assets, high industrial chain coordination costs and rigid income distribution in value chains, traditional digital transformation cannot realize the capitalization of data factors through the information Internet, leading to a long-standing disconnect between digital technologies and the real economy. Supported by distributed ledgers, asymmetric encryption systems, consensus mechanisms and executable smart contracts, blockchain constructs a multi-party recognized distributed trust infrastructure based on machine credibility, shifting the Internet from one-way information transmission to all-domain value interconnection. It provides an underlying systematic technical solution to break institutional bottlenecks and trust barriers hindering the deep integration of the digital economy and real economy.

At present, major economies across the globe have rolled out strategic layouts for the blockchain industry. The competition among major powers has evolved from a single R&D race into comprehensive games covering industrial application and cross-border digital governance rules. European and American countries focus on the digitalization of industrial supply chains, full-lifecycle circulation of bulk commodity electronic warehouse receipts and cross-border mutual recognition of trade documents, concentrating resources to seize the dominant power over global digital trade standards. Emerging foreign trade economies build cross-border commodity traceability systems based on blockchain to continuously cut comprehensive costs of trust verification and document circulation in transnational business. Amid the wave of digital restructuring of global value chains, blockchain has become a core strategic tool for reshaping international industrial division of labor and competing for discourse power in the digital economy.

Nevertheless, the industrial application of blockchain in China is generally trapped in superficial development predicaments. Most deployed projects are confined to lightweight basic scenarios such as electronic evidence storage and commodity anti-counterfeiting, failing to be deeply embedded in high-value core business links including circulation of goods rights across industrial chains and multi-level credit penetration and automatic profit sharing, so the technical value cannot be fully unleashed. An in-depth analysis of the root causes reveals that the barriers to integrated development in China are superimposed across multiple layers. Technically, domestic underlying architectures and codes are highly dependent on overseas sources, the blockchain "impossible triangle" cannot be solved in a layered and scenario-specific manner, the absence of unified national cross-chain standards creates numerous industrial value silos across industries and regions, and the deployment and transformation costs of privacy-preserving technologies remain prohibitively high. Industrially, most alliance chains lack multi-party governance and power allocation mechanisms; enterprises along industrial chains show a sharp divide in digital maturity, and there is a lack of automatic collection channels for offline source data, resulting in widespread idle chains that are easy to build yet hard to operate or implement. Institutionally, there is no complete judicial confirmation framework for the legal validity of on-chain electronic certificates, industrial digital assets and smart contracts. Domestic data compliance clauses inherently conflict with the operation mode of distributed ledgers. In addition, China’s blockchain electronic trade documents fail to align with international digital trade agreements such as DEPA and RCEP, and mechanisms for cross-border certificate mutual recognition and joint supervision lag far behind market demands. Commercially, industrial blockchain projects rely heavily on special fiscal subsidies without sustainable market-oriented incentive mechanisms. Speculative capital crowds out financing for real-economy digital transformation, while there is an acute shortage of interdisciplinary international talents proficient in blockchain technology, real-industry operation, cross-border digital governance and data compliance risk control.

Based on the new development pattern of domestic and international dual circulation, this paper breaks away from the narrow perspective of research confined to domestic technical applications, and embeds the integrated development of blockchain into the overall process of digital restructuring of global value chains. It constructs a four-dimensional integrated analytical framework covering technical infrastructure, industrial chain coordination, value chain distribution and cross-border institutional coordination. Different from existing literature that merely focuses on evidence storage cases and financial risk supervision, this paper thoroughly analyzes the internal operating logic of blockchain in reconstructing industrial credit systems and realizing data asset confirmation and reshaping the profit distribution pattern of full industrial chains, and clearly defines the governance boundary between credible business certificates of the real economy and speculative virtual digital assets. Domestically, a layered and classified chain-building framework is constructed, and multi-party benefit-sharing and risk-sharing mechanisms for alliance chains are improved. Internationally, relying on regulatory sandboxes in pilot free trade zones, standardized models for cross-border document mutual recognition on chains are explored, forming a two-tier collaborative institutional system featuring hierarchical rule-of-law governance domestically and proactive participation in global digital rule formulation internationally. This study systematically proposes a complete set of implementable and scalable implementation paths including layered technology upgrading, synchronous full-industry digital transformation, penetrating dynamic on-chain supervision, lightweight sustainable market-oriented operation and cultivation of international interdisciplinary talents. It drives blockchain to break free from the trap of conceptual hype and superficial applications and take deep root in four core real-economy tracks: advanced manufacturing supply chains, modern agricultural clusters, green low-carbon industries and cross-border paperless trade. Balancing industrial implementation efficiency and the construction of discourse power in international digital governance, this research can promote the compliant, secure and efficient circulation of data factors across all domains, remove barriers to coordinated development of industrial chains, supply chains and value chains, and provide solid theoretical references and systematic practical paths for empowering the transformation and upgrading of the real economy, fostering new quality productive forces and enhancing China’s comprehensive competitiveness in the global digital industry.

Keywords: blockchain; digital economy; integration with real economy; industrial chain coordination; data factors; cross-border digital governance; restructuring of global value chains

Full Text

I. Introduction

(1) Research Background

1. Domestic Realistic Background

After decades of rapid development, China’s digital economy has bid farewell to the era of traffic dividends in consumer Internet and fully entered a critical period of in-depth transformation of industrial Internet. The room for growth of shallow digital scenarios such as e-commerce platforms and online life services targeting end consumers has gradually peaked. Core real-economy industries including advanced manufacturing, modern agriculture and bulk physical commerce have seen comprehensive upgrades in digital demands, shifting from basic online information registration to high-level digital scenarios such as full-chain coordination, multi-level supply chain financing and asset-based circulation of data factors.

For a long time, cross-enterprise collaboration within domestic industrial chains has relied heavily on centralized platforms and offline third-party intermediaries for credit endorsement and transaction verification. Industrial pain points such as multi-stage credit sales, warehouse receipt financing, cross-enterprise data sharing and unbalanced profit distribution along value chains have long remained unsolved. The fundamental underlying cause lies in the lack of low-cost, highly credible and traceable cross-subject trust infrastructure in China’s industrial system. As the fifth major production factor, data has long suffered from ambiguous ownership, incomplete circulation records and difficulty in value quantification and pricing, making it impossible to realize factor capitalization. Consequently, digital technologies can only barely touch the surface of real-economy transformation, and returns on digital transformation investment fail to match industrial gains.

As the core underlying infrastructure of the value Internet and distributed trust system, blockchain theoretically possesses the capability to reconstruct credit order across industrial chains. However, its domestic industrial implementation shows prominent structural imbalance: numerous government-supported and self-built enterprise chains converge on lightweight scenarios such as file hash storage and product traceability anti-counterfeiting, only realizing post-transaction and post-document recording instead of intervening in value-added core links including goods right delivery and automatic multi-stage profit sharing and progressive transmission of upstream and downstream credit. The survival of industrial blockchain projects is highly dependent on special local policy subsidies. Once the support cycle ends and fiscal funds are withdrawn, projects will rapidly stall and be abandoned, creating an obvious disconnect between blockchain technological innovation and real industrial development. The whole industry falls into an involution predicament characterized by high conceptual publicity yet low industrial implementation efficiency and a large number of ongoing projects with few sustainably operational ones, with massive digital investment failing to translate into growth momentum for the real economy.

2. Background of International Competition

The logic of global digital economic competition has undergone fundamental changes. Competition has shifted from a single track of underlying technology R&D to comprehensive institutional games over the formulation of digital infrastructure standards, cross-border trade governance rules and the construction of trust systems for global industrial chains. Blockchain is no longer merely a computer underlying technology, but a core strategic tool for major powers to restructure trust order in global industrial chains and compete for the dominant power of digital trade rules and reshape distribution patterns of global value chains.

At the international level, all major economies have issued medium- and long-term industrial strategies for blockchain. The EU coordinates the construction of a unified blockchain digital identity system and cross-industry supply chain traceability projects, building a standardized regional alliance chain network and unifying the legal effect of commercial certificates on chains within the region. Leading bulk commodity trading platforms and port trade institutions in the United States fully implement full-process uploading of electronic warehouse receipts, firmly controlling technical standards and judicial recognition rules for global digital goods right certificates. ASEAN, the Middle East and other resource-exporting economies develop targeted blockchain platforms for cross-border trade of agricultural products and energy commodities to simplify multi-country customs cross-verification procedures and drastically cut comprehensive costs of trust verification and document circulation for transnational trade. Meanwhile, multilateral economic and trade agreements such as DEPA and RCEP keep adding special clauses on mutual recognition of digital documents and orderly cross-border data flow, making cross-border mutual recognition of blockchain electronic documents a core topic in global digital trade negotiations.

If China restricts itself to closed and shallow domestic blockchain scenarios without taking the initiative to align with internationally accepted digital trade rules and coordinate the layout of cross-border alliance chain interconnection systems, it will miss the critical window for restructuring global digital governance systems and fall into a passive position lacking discourse power over standards amid the digital transformation of global value chains. Based on the new dual-circulation development pattern, China’s blockchain industrial development must coordinate two core objectives: internally empower the modernization and upgrading of domestic full industrial chains and unlock the value of data factors; externally take the initiative to participate in the formulation of global digital rules and consolidate competitive advantages in digital trade, achieving coordinated internal and external development.

(2) Review of Domestic and Foreign Literature

1. Review of Foreign Research

Academic and industrial research on blockchain overseas has long divided into two clear threads. The first focuses on decentralized financial innovation on public chains, conducting theoretical and model design for decentralized asset issuance and free cross-border circulation of digital assets. The second delves into market-oriented operation of industrial alliance chains, centering on digitalization of supply chain goods rights, paperless international trade document systems and long-term incentive allocation mechanisms for network nodes. Scholars from mature European and American industrial economies generally prioritize the construction of market-based benefit distribution models and attach great importance to the design of supporting systems for judicial recognition and cross-border mutual recognition of commercial certificates on chains. Their research findings fit the fully digital industrial chains and sound informatization foundation of small and medium-sized enterprises in developed countries.

Nevertheless, the existing overseas research system has inherent limitations. Most theoretical models and implementation plans are premised on fully digital industrial chains and sound informatization of SMEs in developed economies. There is a lack of localized adaptation schemes suited to developing countries featuring weak digital foundations of SMEs, uneven digital maturity across industrial chains and unbalanced regional industrial development. Research on practical industrial pain points such as interest conflicts between upstream and downstream enterprises and penetration of core corporate credit to micro and small entities as well as multi-jurisdictional cross-border supervision coordination is insufficient and cannot be directly adapted to China’s real-economy transformation demands.

2. Core Shortcomings of Domestic Research

Domestic literature on blockchain is highly confined to three single research categories. First, optimization of pure technologies including iteration of consensus algorithms, improvement of TPS throughput and development of cross-chain communication protocols. Second, research on financial risk prevention and regulatory policies targeting virtual currencies and decentralized finance chaos. Third, case analysis of lightweight scenarios such as agricultural product traceability and judicial electronic evidence storage. The overall domestic research system has four prominent deficiencies:First, a closed research perspective artificially separates domestic internal-cycle industrial applications from external-cycle cross-border digital trade layout, lacking a holistic dual-circulation vision, while research on international cross-border blockchain governance and standard alignment is generally weak.Second, shallow research depth: most literature simply defines blockchain as an immutable distributed database and only analyzes its evidence storage function, rarely exploring the underlying institutional value of blockchain in reconstructing industrial credit order and reshaping profit distribution across full value chains, ignoring its core positioning as an institutional infrastructure.Third, fragmented countermeasures: existing studies only propose separate technical transformation plans or single regulatory policies, failing to systematically resolve the universal industry-wide chronic problem of alliance chains being built yet unused and suffering inefficient investment.Fourth, vague governance boundaries between virtual and real assets: it is difficult to distinguish credible electronic business certificates of the real economy from speculative virtual digital financial assets, and supporting governance measures tend to swing between two extremes — either loosening regulation spawning financial chaos or tightening rules inhibiting digital innovation of the real economy.

(3) Three Core Innovations of This Paper

1. Innovation in Research Perspective: Global Vision Centered on Dual Circulation

Breaking the narrow boundary of domestic single-industry technical research, this paper analyzes the integration of blockchain and the real economy against the macro backdrop of digital restructuring of global value chains, coordinating two dimensions: modernization and upgrading of domestic industrial chains and construction of cross-border digital trade rule systems. It takes into account both practical industrial implementation and cultivation of discourse power in international digital governance, overcoming the localized and closed limitations of existing research and endowing the paper with a complete international academic vision and global industrial thinking.

2. Innovation in Theoretical Mechanism: In-depth Institutional Analysis of Three-Chain Coordination

Abandoning the research paradigm limited to the shallow data storage function, this paper constructs a complete four-dimensional theoretical logic of "trust confirmation — compliant data circulation — full credit penetration — automatic value distribution". It redefines blockchain as an infrastructure reshaping industrial benefit allocation, thoroughly unpacks the complete realization path of coordination among industrial chains, supply chains and value chains, and analyzes the underlying logic of blockchain transforming the real economy from the perspective of institutional economics, boasting far greater theoretical depth than ordinary applied case papers.

3. Innovation in Governance Framework: Integrated Dual-Layer Domestic and International Institutional System

This paper originally constructs a dual integrated institutional system: hierarchical rule-of-law governance domestically and cross-border sandbox coordinated governance internationally. Domestically, market-oriented long-term incentive mechanisms for alliance chains are designed to fundamentally eliminate reliance of industrial projects on fiscal subsidies. Internationally, standardized systems for cross-border mutual recognition of documents on chains are piloted in free trade zones to proactively align with DEPA multilateral digital trade rules and participate in global standard formulation. Clear hierarchical regulatory red lines are drawn to distinguish real-industry business certificates from speculative virtual financial assets, avoiding idle and inefficient alliance chains while firmly guarding against financial risks from cross-border capital flows and virtual asset speculation. The supporting countermeasures feature high originality, systematicness and operability.

(4) Research Framework

Part One: Introduction. It elaborates the research background, sorts out deficiencies in domestic and foreign literature, clarifies three core innovations and establishes the overall logical framework of the paper.Part Two: It analyzes the underlying operating mechanism of blockchain enabling integrated development of the digital and real economy, defines three-dimensional realization paths of integration and divides five core application scenarios for the real economy.Part Three: Drawing on global industrial implementation experience, it systematically dissects deep-seated development contradictions across four dimensions: technology, industry, institution and commerce.Part Four: A four-dimensional coordinated optimization system is established, with systematic implementation paths designed across five modules: upgrading technical infrastructure, reconstructing industrial chain coordination, dual-layer domestic and international rule-of-law governance, sustainable market-oriented operation and alignment with international rules for opening-up.Part Five: Conclusions and research prospects. It summarizes core findings and proposes future research directions covering cross-border mutual recognition of documents, long-term incentive models for alliance chains and digital cross-border circulation of bulk commodities.

II. Internal Mechanisms and Application Scenarios of Blockchain Enabling Integration Between Digital and Real Economy

(1) Core Operating Logic for Blockchain to Break Integration Bottlenecks

The traditional information Internet can only transmit unidirectional information without inherent guarantees of authenticity and immutability, nor the capacity for automatic asset ownership delivery and profit allocation. It cannot resolve core pain points of the real economy including cross-subject trust, data confirmation and contract performance supervision. Supported by four underlying technical mechanisms, blockchain completes three fundamental institutional reforms and comprehensively removes trust, property right and performance barriers hindering integration.

Distributed Consensus Mechanism: Multiple independent market entities along industrial chains maintain ledgers simultaneously without credit guarantees from centralized platforms or third-party intermediaries, drastically cutting comprehensive costs of credit investigation, transaction guarantee, reconciliation and liquidation, and building a multi-party recognized intermediary-free distributed trust system that reduces cross-enterprise collaboration costs at the source.

Asymmetric Encryption + Distributed Ledger Architecture: Digital targets including industrial data assets, electronic warehouse receipts, intellectual property rights and accounts receivable are confirmed on chains, clearly dividing ownership, usage rights and income rights to thoroughly resolve the long-standing core problem of ambiguous property rights restricting data circulation.

Code-based Automatic Performance of Smart Contracts: Standardized commercial contracts, multi-stage profit sharing, pledge and risk allocation clauses are converted into executable codes that automatically complete payment settlement, multi-stage profit distribution and goods right transfer once preset conditions are met, eliminating intentional breach of contract and manual calculation errors while drastically lowering costs of commercial disputes and arbitration.

Full-chain Immutable Recording Mechanism: All business processes are synchronously stored and traceable across nodes, providing complete, credible and tamper-proof electronic evidence for industrial supervision, financial credit granting and cross-border customs inspection, enabling transparent governance of full industrial chains.

(2) Three-Dimensional Integration Mechanisms (Core Theoretical Connotation)

1. Industrial Chain Integration: Downward Penetration of Leading Enterprise Credit

Leveraging blockchain’s distributed credit transmission capacity, high-quality commercial credit of core leading enterprises can be delivered layer by layer to downstream SMEs through standardized on-chain accounts receivable and multi-stage creditor’s rights certificates. Without fixed asset collateral, micro and small real enterprises can apply for low-cost supply chain financing relying on judicially valid credible certificates on chains, systematically resolving long-standing financing bottlenecks for SMEs and reinforcing collaborative relationships between upstream and downstream participants.

2. Data Factor Integration: Compliant, Secure and Orderly Full-Domain Circulation of Industrial Data

Adopting the integrated model of privacy computing, data desensitization and separation of certificates and raw data, the governance rule of "raw data remains in local servers while encrypted verification certificates circulate across networks" is implemented. Core operational, production and sensitive customer data of enterprises are encrypted and stored locally, with only desensitized verification abstracts and ownership certificates uploaded to chains. On the premise of strictly complying with the Data Security Law and Personal Information Protection Law, cross-enterprise, cross-industry and cross-regional data silos are broken to realize credible circulation of industrial data while balancing data security protection and asset-based development of data factors.

3. Value Chain Integration: Balanced Profit Allocation Across Full Industrial Chains

Multi-stage profit sharing, risk sharing and cost allocation clauses are solidified in advance via smart contracts for automatic execution, completely changing the unbalanced pattern where core manufacturers capture excess profits while upstream and downstream SMEs face squeezed profit margins. It equalizes income distribution among raw material suppliers, midstream manufacturers and downstream distributors, reducing industrial cooperation conflicts from the root of benefit allocation and stabilizing long-term coordinated development of industrial clusters.

(3) Full-Track Application Scenarios Covering Domestic Real Industries and Cross-Border International Businesses

Advanced Manufacturing Track: Full-process traceability of industrial orders, digital circulation of goods rights across multi-level supply chains, unified registration of industrial equipment data assets, full-chain storage of product quality data and credible sharing of cross-factory collaborative production data.

Bulk Commodity Trade Track: Digital pledge of electronic warehouse receipts, unified storage of multimodal logistics documents on chains, full circulation of credible goods right certificates for spot trading and verification of cross-border bulk commodity deliveries.

Modern Agricultural Cluster Track: Origin traceability certification of agricultural products, automatic performance of order agriculture via smart contracts, supply chain finance for agricultural SMEs and targeted distribution of agricultural subsidies.

Green Low-Carbon Real Economy Track: Full-recorded carbon footprints of enterprises, registration and compliant circulation of carbon assets, automatic profit allocation for green projects and digital traceability for dual-carbon assessment.

Core Cross-Border Digital Trade Track: Storage and cross-border mutual recognition of import and export customs documents, certificates of origin, ocean bills of lading and cross-border settlement vouchers, building a full-process paperless cross-border trade system aligned with international digital trade multilateral rules.

III. Global Industrial Experience and Multi-Layered Practical Dilemmas of China’s Integrated Development

(1) Summary of Global Industrial Application Experience of Blockchain

Industrial blockchain development in mature European and American industrial countries follows a unified clear path. Alliance chains are taken as core implementation carriers with a strict distinction between credible real-trade electronic certificates and speculative encrypted virtual assets, consistently anchoring real-economy industrial scenarios. Projects rely on market-based service fees and value-added revenues for long-term operation of blockchain networks without over-reliance on fiscal subsidies. Great importance is attached to supporting laws for domestic judicial recognition and cross-border mutual recognition of commercial certificates on chains, and global standardization of trade documents is continuously promoted. Foreign trade economies represented by ASEAN and Middle Eastern resource exporters focus on trade cost reduction, adopting blockchain as a digital tool to simplify multi-country customs inspection and eliminate disputes over paper documents, steadily advancing regional paperless trade integration.

A universal law can be summarized from global implementation practice: blockchain can only form self-sustaining industrial ecosystems when deeply rooted in high-value businesses such as goods right circulation, multi-level credit transmission and automatic value allocation. Restricting application merely to file storage and product anti-counterfeiting will fail to generate industrial added value and eventually lead to idle and abandoned projects.

(2) Four Deep-Seated Dilemmas of Blockchain Enabling China’s Real Economy Integration

Dilemma 1: Inadaptable Underlying Architecture and Weak Independent Control Resulting in Mass Industrial Value Silos

First, underlying codes and core algorithms of blockchain are highly dependent on overseas open-source communities, with slow R&D progress of domestically controlled underlying chains, creating hidden technical security risks for China’s digital industrial infrastructure and insufficient autonomy of core technologies.Second, the blockchain "impossible triangle" performance contradiction cannot be resolved in a layered, scenario-specific manner. Blind pursuit of full-network decentralization drastically reduces transaction speed, failing to meet high-concurrency business demands of manufacturing and bulk commodity trading. Reducing node quantities to boost performance turns alliance chains into traditional centralized databases, stripping away the core value of distributed trust.Third, there is no unified national cross-chain communication protocol. Government and industrial alliance chains across provinces and cities adopt incompatible underlying ledger protocols and data formats, making digital assets and credible certificates unexchangeable across industries and regions and creating isolated value silos that block full-domain circulation of data factors.Fourth, deployment and operation costs of privacy-preserving technologies such as zero-knowledge proof and homomorphic encryption remain prohibitively high for SMEs, creating long-standing conflicts between industrial data confidentiality and cross-entity public verification.

Dilemma 2: Superficial Industrial Applications and Failed Multi-Party Coordination of Alliance Chains with Polarized Digital Maturity Across Chains

First, over 70% of domestic industrial projects only upload file hashes for storage without extending to high-value links including goods right delivery and multi-stage profit sharing, failing to translate blockchain’s technical advantages into real industrial economic benefits and resulting massive inefficient fiscal investment.Second, industrial alliance chains lack standardized multi-party governance agreements. Upon chain construction, rules for data access, liability for data fraud and allocation of operational costs and profits are not agreed in advance. Large enterprises hesitate to disclose core commercial data while SMEs fear data leakage and refuse to participate, leaving most alliance chains formally launched yet operationally idle without regular business flows.Third, digital maturity along industrial chains is sharply polarized. Leading enterprises achieve full online operation while upstream and downstream merchants still use paper documents and manual reconciliation, making unified automatic uploading of chain-wide data impossible.Fourth, offline source data lacks automatic collection via IoT and RFID hardware. Manual entry of order, warehouse and logistics information easily leads to artificial data tampering and false information permanently recorded on chains, undermining the credibility of full industrial chains.

Dilemma 3: Unbalanced Domestic and Institutional Supply — Weak Domestic Judicial Protection and Lagging Alignment with Cross-Border Rules

Domestic legal deficiencies: There is no complete judicial interpretation defining the property rights validity of on-chain electronic warehouse receipts, creditor’s rights certificates and smart contracts. Technical confirmation cannot be converted into legally recognized property rights, and on-chain digital assets cannot be mortgaged, transferred or liquidated, leaving data asset confirmation confined to technical layers. Meanwhile, the multi-replica storage mode of distributed ledgers inherently conflicts with existing centralized data supervision and data retention rules.Opening-up deficiencies: China’s industrial blockchain electronic document standards have not aligned with international multilateral agreements DEPA and RCEP. Domestic documents on chains cannot be recognized by overseas customs, traders and financial institutions. Cross-border blockchain regulatory sandboxes in pilot free trade zones cover limited scope with slow progress in supporting systems for cross-border data uploading and certificate mutual recognition, weakening China’s discourse power in multilateral negotiations on global digital trade rules.

Dilemma 4 Unsustainable Business Models, Capital Shifting to Virtual Speculation and Severe Shortage of International Interdisciplinary Talents

First, self-built alliance chains require large one-time upfront investment in hardware, software and operation. Lacking lightweight pay-as-you-go market service models, most projects rely entirely on fiscal subsidies and stall once policy support is withdrawn.Second, public opinion long conflates blockchain with virtual currency speculation. A large volume of venture capital flows to virtual asset trading while industrial projects targeting manufacturing, agriculture and cross-border trade face financing difficulties.Third, the industrial talent structure is severely unbalanced. There is an acute shortage of cross-disciplinary talents mastering distributed technology, industrial operation, cross-border trade and data compliance. Technical teams lack industrial knowledge while industrial practitioners cannot comprehend distributed ledger governance, leading repeated design revisions and delayed project launch.

IV Four-Dimensional Coordinated Optimization Paths for Blockchain to Deeply Integrate Digital and Real Economy

Dimension One: Build Layered Autonomous Technical Infrastructure Balancing Security, Efficiency and Cross-Chain Interoperability

Layered Differentiated Chain Layout: Open alliance chains are promoted for real-economy scenarios with moderately streamlined consensus nodes to support high-concurrency manufacturing and commodity transactions. Private chains are deployed for internal confidential corporate operations. Public chains are restricted to open-source technical research, banning token issuance and financial speculation to the public.

Independent Core Technology R&D: Increase national investment in domestic open-source blockchain underlying platforms to reduce reliance on overseas codes. Leverage the Blockchain Service Network (BSN) to unify national cross-chain interfaces and ledger formats, breaking data barriers across industries and eliminating value silos.

Lightweight Technical Transformation: Package privacy computing tools into standardized cloud services to cut transformation costs for SMEs. Connect IoT sensors and RFID terminals directly to blockchains for automatic collection of logistics, warehousing and production data, eradicating data falsification caused by manual input.

Dimension Two: Restructure Full Industrial Chain Coordination Mechanisms to Shift Blockchain From Evidence Storage to Value Chain Restructuring

Phase Out Shallow Low-Value Projects: Adjust fiscal digital industry funding priorities to withdraw support from pure hash storage projects and channel resources into high-value scenarios of supply chain financing, digital goods right circulation and automatic profit sharing, driving industrial upgrading via policy guidance.

Predefine Multi-Party Governance Rules for Alliance Chains: Sign legally valid multi-party cooperation agreements prior to chain construction to establish three core systems: hierarchical data access rules, liability clauses for data fraud, and shared schemes for operational costs and chain revenues, motivating sustained participation through tangible market returns to resolve idle alliance chains.

Gradually Bridge Digital Gaps: Led by leading enterprises, lightweight SaaS tools are provided free of charge to upstream and downstream SMEs for full-chain electronic transformation before phased access to alliance nodes, eliminating digital disconnection along industrial chains.

Dimension Three: Construct Dual-Layer Domestic and International Rule-of-Law System — Secure Domestic Property Rights and Build Cross-Border Rule Discourse Power

1. Improve Domestic Judicial Recognition and Penetrative On-Chain Supervision

Promote the Supreme People’s Court to issue special judicial interpretations clarifying that on-chain documents verified by judicial storage platforms hold full legal validity, compliant smart contracts equal written commercial contracts, and on-chain warehouse receipts and creditor certificates can be used as collateral for property rights. Regulatory authorities access alliance chains as read-only nodes adopting the dual mechanism of encrypted on-chain transactions and real-name background filing to balance corporate privacy and financial/data risk control. Special ledger retention rules shall be formulated to comply with the Data Security Law and Personal Information Protection Law.

2. Align With International Digital Trade Rules and Enhance Global Discourse Power

Expand cross-border blockchain sandboxes in Hainan, Shanghai, Guangdong and other free trade zones to pilot multi-country mutual recognition of cross-border orders, certificates of origin and ocean bills of lading on chains. Align China’s electronic document standards with DEPA and RCEP clauses to develop a paperless cross-border trade system tailored to domestic foreign trade. Strictly separate real-industry certificates and speculative virtual assets to guard against risks of disorderly cross-border capital flows and steadily strengthen China’s voice in global digital trade rulemaking.

Dimension Four: Foster Sustainable Commercial Closed Loops and Cultivate International Interdisciplinary Talents

1. Lightweight Transformation of Business Models

Rely on national public blockchain infrastructure to launch cloud-based pay-as-you-go services, converting one-time heavy investment into small annual service fees and lowering access thresholds for SMEs. Build a three-tier profit chain: basic evidence storage and verification to cover operation costs; supply chain credit evaluation and financing matching for value-added financial service fees; compliant desensitized industrial data products to unlock long-term value of data factors, gradually eliminating dependence on fiscal subsidies for self-sustaining industrial operation.

2. Guide Industrial Capital to Shift From Virtual Speculation to Real Economy

Industry associations clarify clear boundaries between industrial blockchain projects and virtual currency speculation to reverse biased market perceptions. Guide national industrial funds and venture capital to invest in manufacturing, agriculture and cross-border digital trade projects, while financial institutions extend credit only to real-economy blockchain projects to cut capital supply for speculative businesses.

3. Long-Term Cultivation of International Compound Talents

Universities launch interdisciplinary majors integrating blockchain technology, global supply chain management, cross-border trade rules and data compliance to cultivate talents with technical, industrial and global governance capabilities. Regular training sessions for enterprise managers correct misconceptions equating blockchain with token speculation and lay a solid talent foundation for long-term high-quality industrial development.

V. Conclusions and Research Prospects

(1) Core Conclusions

The disconnect between digital technology and the real economy does not stem from insufficient hardware performance, but from institutional barriers including lack of cross-enterprise trust mechanisms, ambiguous ownership of data factors and rigid profit allocation along value chains. Blockchain is far more than computer information technology; it is an institutional digital infrastructure capable of systematically reconstructing industrial credit systems and reshaping benefit distribution across value chains. The slow integration progress in China results from superimposed systemic problems covering weak independent underlying technologies, failed alliance chain coordination, unbalanced domestic and international institutional supply and unsustainable commercial models. Isolated technical or policy adjustments cannot deliver fundamental solutions.

Only the coordinated advancement of four core initiatives — construction of layered autonomous technical infrastructure, reconstruction of full-chain benefit coordination mechanisms, dual domestic judicial and international rule-of-law systems, and lightweight sustainable operation models — can free blockchain from shallow storage applications and deeply embed it into advanced manufacturing supply chains, modern agricultural clusters, green low-carbon industries and cross-border paperless trade. Under the dual-circulation pattern, blockchain undertakes dual missions: domestically empower the modernization of full industrial chains and unlock the productive value of data factors to foster new quality productive forces; externally participate deeply in the construction of global digital trade governance systems to boost China’s rule-making power in the digital restructuring of global value chains and provide underlying credible support for high-quality digital transformation of the real economy.

(2) Prospects for Future Research

Conduct quantitative empirical research to design mathematical long-term incentive models for alliance chains, developing dynamic node allocation mechanisms balancing equity and operational efficiency with quantifiable calculation frameworks.

In-depth research on complete institutional systems and multi-jurisdictional joint supervision mechanisms for cross-border document mutual recognition under RCEP and DEPA frameworks to form standardized cross-border digital governance solutions suited to China’s foreign trade conditions.

Explore full-process institutional design for confirmation, pledge and cross-border circulation of bulk commodity electronic warehouse receipts to improve credible trading systems for global physical commerce and offer Chinese solutions for worldwide digital transformation of trade.

Research on the Global paradigm, Industrial Restructuring

Thu, 09 Jul 2026 13:23:19 +0800

Research on the Global paradigm, Industrial Restructuring and Grassroots Implementation path of In-depth Integration of Al and Digital Intelligence

Authors: Fnu Oudom

Abstract

Accelerated iterations of general artificial intelligence technologies worldwide

have made the integration of digital intelligence the core thread of the Fourth

Industrial Revolution and the underlying logic for fostering new productive forces and reshaping the global competitive landscape of the digital economy. Based on a comparison of national AI strategies across multiple global economies, this

paper constructs a three-dimensional analytical framework covering global

landscape, top-tier industries and grassroots implementation. It systematically

interprets the theoretical origin and internationally differentiated development

paradigms of AI-digital intelligence integration. Covering five core sectors

including advanced manufacturing, digital finance, smart agriculture, urban

governance and digital trade, this paper extracts high-end transformation

highlights in each field. It further extends its research to grassroots scenarios such as towns, communities, micro, small and medium-sized enterprises (MSMEs), and rural governance, analyzing bottlenecks, core starting points and practical key

points for the downward penetration of digital intelligence. This study identifies

common challenges arising from global integration, including technological

divides, algorithm governance, circulation of data factors and regional imbalance. Coordinating the logic of international collaboration and hierarchical domestic

advancement, it proposes a four-in-one long-term development path featuring

technological independence, industrial ecology, grassroots inclusiveness and

global digital governance. Boasting an international vision, industrial depth and

practical grassroots value, this research provides theoretical support and practical references for the construction of Digital China and the coordinated development of the global digital economy.

keywords: Integration of Digital Intelligence; Generative AI; New Productive Forces; Global Digital Competition; Grassroots Digital Governance; Industrial Digitalization; Data Factors

1 Introduction

1 . 1 Research Background and contemporary value

Since the industrialized application of generative large models, AI has transitioned from a single-point tool to a universal technology applicable across all fields,

propelling the digital economy into a new stage driven by AI-enabled digital

intelligence integration. Globally, major economies including the United States, the European Union, China, Japan, South Korea and emerging economies have

successively rolled out national-level artificial intelligence strategies, regarding the integration of digital intelligence as a core lever to seize industrial

commanding heights and reshape the international division of labor system.

Domestically, the Overal Layout Plan for Digital China Construction and the New Generation Artificial Inteligence Development Plan explicitly propose empowering the real economy with artificial intelligence and advancing digital inclusiveness in urban and rural areas. The core essence of developing new productive forces lies in leveraging the deep integration of AI, big data and computing power networks to break reliance on traditional production factors and achieve systematic leaps in total factor productivity. Currently, the integration of digital intelligence presents a polarized pattern: first-tier cities and large industrial chain enterprises have

realized full-process intelligent transformation, while county-level regions, rural areas, micro and small business entities and grassroots government units

generally suffer from insufficient downward penetration of technologies,

superficial application and unbalanced input-output ratios. The contradiction of "surplus top-tier technologies yet inadequate grassroots applications" has

become a core constraint hindering in-depth integrated development.

Internationally, three differentiated development paths for global digital

intelligence integration have taken shape: market-driven free innovation,

regulation-restrained development, and government-coordinated advancement. Developed economies have built technological barriers relying on their

advantages in computing power, models and data, while developing countries

face multiple constraints such as digital divides, high computing costs and talent shortages, exacerbating imbalanced global digital development. There is an

urgent need to build an inclusive and universally beneficial global governance system for digital intelligence integration.

Against this backdrop, establishing a complete research chain of "global

competition landscape – high-end industrial transformation – inclusive grassroots implementation" and systematically analyzing the internal mechanisms of AI-

digital intelligence integration, industrial innovation highlights, key grassroots implementation points and global collaborative paths carries significant

theoretical innovation value and practical significance.

1 . 2 Domestic and Foreign Research Review

1 .2 . 1 Foreign Research context

Academic circles in Europe and the United States focus on two major research

directions. First, from a techno-economic perspective, scholars demonstrate the

reconstructive effects of AI as a general technology on entire industrial chains,

taking industrial practices of Google and OpenAI as samples to measure the

transformative impact of large models on production efficiency and business

models. Second, from a digital governance perspective, centered on the EU’s AI

Act, studies focus on algorithm ethics, cross-border data flows and hierarchical

risk supervision frameworks for AI, alerting to risks of technological monopoly and digital exclusion. Special reports released by the United Nations Conference on

Trade and Development (UNCTAD) point out that developed economies achieve

far higher efficiency in industrialized AI implementation than developing

economies, and MSMEs worldwide face three bottlenecks in digital transformation:

insufficient computing power, limited data access and inadequate technical skills, making inadequate technological inclusiveness a universal global challenge.

Foreign research has notable limitations: rooted in Western market governance systems, it lacks analysis of localized scenarios including the urban-rural dual

structure, grid-based grassroots governance and whole-of-nation system research breakthroughs, making it incompatible with China’s integrated

development model featuring "top-down top-level design plus bottom-up grassroots practice".

1 .2 . 2 Domestic Research status

Existing domestic research outcomes fall into three major categories. First,

theoretical research on the integration of new productive forces and AI, clarifying the underlying logic through which digital intelligence integration reshapes

production factors and industrial structures. Second, case analysis of regional and industrial digital transformation, focusing on industrial internet and smart city

construction. Third, single-scenario research on digital villages and grassroots government administration.

Obvious gaps remain in current research: there is a lack of integrated research

combining horizontal global comparison, comprehensive industrial review and

systematic grassroots implementation. Most studies are confined to a single

industry or region, failing to connect the logic of global competition, high-end

industrial upgrading and grassroots digital inclusiveness. Systematic extraction of practical points and transformation pain points for grassroots entities such as

counties, villages and micro and small enterprises is also absent.

1 . 3 Research ldeas, Framework and Innovations

1 .3 . 1 Research ldeas

This paper follows the main research line: theoretical mechanism – global

landscape – top-tier industrial highlights – key grassroots implementation points

– practical challenges – collaborative domestic and international development

paths. Taking international digital competition as the macro perspective, covering high-end transformation across all industries at the meso level, and delving into grassroots governance and market entities at the micro level, it achieves a trinity of "global strategic vision, industrial depth and grassroots practical precision".

1 .3 . 2 core Innovations

1 . Vision Innovation: Construct a comparative framework for three major global AI development paradigms, distinguishing digital intelligence integration paths of developed countries, the EU and emerging economies to break the limitation of single domestic research perspectives.

2. Dimensional Innovation: Connect the dual layers of "high-end industrial upgrading and inclusive grassroots implementation". It extracts benchmark industrial models while systematically sorting out digital intelligent practical guidelines for towns, communities, villages and micro and small enterprises.

3. Practical Innovation: Moving beyond pure technical analysis, it integrates four dimensions of technology, institutions, factors and governance, proposing

systematic solutions balancing international competition security and balanced grassroots inclusiveness.

2 core Theoretical connotation and Internal operating Mechanisms ofAl-Digital Intelligence Integration

2. 1 Definition of Digital Intelligence Integration

Digital intelligence integration is not a simple superposition of digital technologies and artificial intelligence. Taking data as the core production factor, it relies on

digital infrastructure including computing power networks, large models, the

Internet of Things (IoT), digital twins and blockchain to form a new economic and social development model featuring two-way empowerment of "digital

infrastructure + intelligent brain". Digitalization completes universal

interconnection and full-scale data collection, while artificial intelligence realizes

data value mining, autonomous decision-making and self-adaptive optimization

for scenarios. The deep coupling of the two reconstructs the entire chain of

production, distribution, circulation and governance, serving as the core carrier for the digital economy to advance into the stage of new productive forces.

Following the popularization of generative AI, digital intelligence integration has

formed three new characteristics: diversified factors (new elements including word tokens, models and intelligent agents), naturalized interaction (multimodal human -machine collaboration), and universalized application (lightweight models

lowering the threshold for grassroots use).

2. 2Three-Dimensional Empowerment operating

Mechanisms

2.2 . 1 Factor Restructuring Mechanism: Reshaping the Three Traditional Factors of production

Laborers: AI intelligent tools liberate workers from repetitive labor, pushing

laborers to transition toward high-skill creative work, algorithm operation and

maintenance, and digital intelligence management, forming new human-machine collaborative labor subjects.

Means of labor: Traditional equipment, production lines and government

administration tools are upgraded into intelligent terminals and digital twin systems with autonomous perception and self-optimization capabilities.

Objects of labor: Data becomes an independently tradable asset, and massive

unstructured data from industries, government administration and people’s

livelihoods is transformed into value-adding production materials, expanding the boundaries of economic activities.

2.2 . 2 Industrial upgrading Mechanism: Three-stage terative Transformation

Basic Layer: Equipment networking and data connectivity to resolve data silos.

Intelligent Layer: Embedding industry-specific large models into business processes to realize prediction, optimization and autonomous scheduling.

Ecological Layer: Interconnected data across the entire industrial chain to build a symbiotic digital intelligence industrial ecosystem, driving industries toward high- end, intelligent and green development.

2.2 .3 Governance Inclusiveness Mechanism: Flat and precise public services

AI breaks data barriers within hierarchical administrative systems, enabling cross- departmental sharing of government data through unified digital platforms.

Algorithms match differentiated demands of residents and enterprises, shifting grassroots governance from "empirical extensive management" to "data-driven precise governance" and narrowing gaps in public services between urban and rural areas and across regions.

3comparative Analysis of Differentiated Global

Development paradigms forAl-Digital Intelligence Integration

Three mature development models for global digital intelligence integration have taken shape. Each country has adopted distinct advancement paths based on its resource endowments and institutional systems, featuring coexistence of

competition and cooperation, offering international references for China’s

hierarchical advancement of digital intelligence integration.

3. 1 The united states: Market-Driven , Technology- prioritized Free Innovation paradigm

1 . Top-level Layout: Relying on the CHIPS and Science Act and the "Stargate"

supercomputing infrastructure initiative, hundreds of billions of capital has been invested in general large models and autonomous intelligent agents. The Defense Advanced Research Projects Agency (DARPA) coordinates cutting-edge basic AI research, with tech giants fully leading industrial implementation.

2. Core Advantages: Leading globally in computing chips, underlying large

models and open-source ecosystems, with rapid commercialization. Its digital

intelligence integration in finance, high-end manufacturing and the internet sets global benchmarks.

3. Inherent Shortcomings: Lagging regulation, prominent algorithmic

discrimination, data monopolies and the digital wealth divide. Insufficient

investment in digital intelligence for grassroots public services leads to significant urban-rural gaps in digital inclusiveness.

4. Underlying Logic: Technological iteration driven by market capital, prioritizing commercial industrial returns while weakening balanced public inclusiveness.

3. 2The European union: Regulation-First, Human- centered Trustworthy Digital Intelligence paradigm

1 . Top-level Layout: The world’s first AI Act establishes a hierarchical risk

supervision system imposing strict constraints on high-risk AI applications. The Horizon Europe Fund supports lightweight AI transformation for MSMEs and

builds a unified European digital market.

2. Core Advantages: Strong discourse power in global AI governance rule-

making, sound systems for algorithm ethics and privacy protection, and mature digital transformation supporting services for manufacturing MSMEs.

3. Inherent Shortcomings: Insufficient self-supply of computing power and

underlying models, slower industrial integration innovation compared with China and the US, and unbalanced digital infrastructure development across member states.

4. Underlying Logic: Defining technological boundaries through legal systems, steadily advancing industrial digital transformation under the premise of safety and compliance, while balancing workers’ rights and public value.

3.3 china and East Asian Economies: Government-

coordinated paradigm Balancing Industry and Inclusiveness

Represented by China, South Korea and Singapore, this model features a

distinctive path of "national strategic guidance + market industrial implementation + grassroots inclusive safeguards".

1 . China: Relying on special projects for new-generation artificial intelligence, a national integrated computing power network and market-oriented reform of

data factors, China coordinates breakthroughs in high-end industries alongside the construction of digital villages and grassroots smart government services, balancing self-reliance in science and technology and common prosperity.

2. South Korea / Singapore: National-level AI industrial funds are established to prioritize smart manufacturing and smart cities, while simultaneously advancing lightweight digital services in counties and communities.

3. Model Advantages: Concentrated resources to fill gaps in computing power and infrastructure, balanced development gaps between urban and rural areas, large enterprises and MSMEs, and complete supporting policies for downward penetration of digital intelligence at the grassroots level.

4. Competitive Shortcomings: Core bottlenecks persist in underlying chips and high-end industrial large models, and discourse power in formulating global

digital standards needs to be enhanced.

3. 4common Global Development Dilemmas

1 . Digital Divide: Widening gaps in computing power, data and talent between developed and developing economies.

2. Governance Divergence: Inconsistent national AI supervision rules and high

barriers to cross-border data flows, lacking unified global coordination standards that hinder digital trade circulation.

3. Structural Imbalance: Global digital intelligence resources are concentrated in leading enterprises and core cities, while integration implementation lags in

counties, rural areas and micro and small enterprises.

4 High-End Transformation Highlights and ToP-Tier Application system of Digital Intelligence Integration Across Five core Industries

Based on the commanding heights of global industrial competition, this section

covers five pillar sectors of the real economy: manufacturing, finance, agriculture, urban governance and digital trade. It extracts high-end innovative models and benchmark highlights for each field and constructs a top-tier implementation

framework for industrial digitalization.

4. 1 Advanced Manufacturing: Full Industrial chain

Intelligence Driven by Industrial Large Models (core

Industrial Track)

High-End Industrial Highlights

1 . Full-Lifecycle Intelligent Manufacturing via Digital Twins: Construct three-

dimensional digital mirrors of factories, production lines and products. AI

simulates production processes in real time, boosting efficiency in fault prediction and capacity optimization by over four times and drastically cutting trial

production costs.

2. Deployment of Vertical Industry-Specific Large Models: Develop exclusive

industrial large models for automobiles, equipment manufacturing and chemical industries, connecting full-chain data covering R&D, manufacturing, warehousing, logistics and after-sales maintenance to realize flexible customized production.

3. Leading Enterprises Driving the Digital Intelligence Ecosystem of Industrial Clusters: Leading enterprises open industrial data platforms to enable upstream and downstream supporting MSMEs to access intelligent systems at low cost,

resolving capital bottlenecks for small business transformation.

4. Integration of Digital Intelligence and Green Development: AI energy

consumption optimization algorithms dynamically adjust energy use of production equipment, simultaneously realizing smart manufacturing and carbon peaking and carbon neutrality goals, creating benchmark zero-carbon smart factories.

ToP-Tier Implementation Logic: Four-layer architecture of

computing power base - industrial internet platform - industry large model - workshop intelligent terminals.

4. 2 Digital Finance: Trustworthy AI Restructuring cross- Border and Inclusive Financial systems

High-End Industrial Highlights

1 . Central Bank Digital Currency (CBDC) + AI Cross-Border Settlement: Intelligent algorithms automatically match exchange rates and risk control reviews for cross- border transactions, drastically shortening capital turnover cycles for international trade and building an independently controllable cross-border digital financial

channel.

2. Grassroots Inclusive Intelligent Risk Control: Lightweight AI models deployed in county rural commercial banks and village banks realize unsecured credit

evaluation based on operational data of farmers and MSMEs, alleviating financing difficulties at the grassroots level.

3. Generative AI Robo-Advisors: Multimodal AI provides customized asset

allocation solutions for retail investors, lowering the threshold for professional financial services.

4. Collaborative Risk Prevention via Blockchain and AI: Real-time identification of illegal fund-raising and credit fraud to build a full-domain financial risk early

warning system.

4.3smart Agriculture: Digital Intelligence Integration Empowering Modern Agriculture and Rural Industrial Revitalization

High-End Industrial Highlights

1 . Full-Scale Intelligent Perception System for Farmland: Satellite remote sensing and IoT terminals collect data on soil, meteorology and crops. AI automatically

generates schemes for irrigation, fertilization and pest control to achieve large- scale cost reduction and efficiency improvement.

2. Full-Link Digital Traceability for Agricultural Products: AI visual recognition

combined with blockchain realizes full traceability from farmland to dining tables, building regional branded digital agricultural products.

3. Integrated Rural Digital Industries: AI intelligent live-stream operation and agricultural product market price forecasting connect online and offline

production and sales channels to activate distinctive rural resources.

4. Digital Management for Smart Breeding: AI vision monitors livestock and

poultry health status and automatically adjusts breeding environments to reduce epidemic risks.

4. 4smart cities and Digital Governance: Full-Domain

Digital Intelligence Brains Building a Modern Governance

system

High-End Industrial Highlights

1 . Urban Digital Twin Brain: Integrates full-domain data of transportation,

emergency response, people’s livelihoods and government administration. AI

predicts urban congestion, natural disasters and public security risks in advance and realizes integrated scheduling and disposal.

2. Unified Intelligent Government Service Platform: Interconnected cross-

departmental data enables AI to automatically divert public demands, achieving second-level rapid response for "receipt and immediate handling of public

appeals".

3. Low-Carbon Smart Cities: AI optimizes energy allocation for power grids, water supply and transportation to create benchmark green intelligent cities.

4. 5 Digital Trade: Al Driving Restructuring of Global Digital

value chains

High-End Industrial Highlights

1 . Multimodal AI Cross-Border Trade Services: Automatic multilingual translation, overseas market demand forecasting and intelligent customs declaration lower

the threshold for MSMEs to engage in overseas trade.

2. Trustworthy Cross-Border Data Circulation Platforms: Leveraging data

customs mechanisms to balance data security and shared trade data, building regional digital trade hubs.

3. Global Market Intelligent Analysis Large Models: Real-time capture of global industrial, tariff and consumption data to provide decision support for enterprises, overseas layout.

5 Downward penetration ofAl-Digital Intelligence Integration atthe Grassroots Level: core scenarios, Implementation priorities and key practical points

High-end industrial upgrading constitutes the "superstructure" of digital

intelligence integration, while inclusive grassroots implementation serves as the

foundational support for realizing its value. Focusing on four bottom-tier

scenarios including rural towns, urban community governance, MSMEs and county -level public services, this paper analyzes bottlenecks, core starting points and

practical guidelines for technology penetration, filling the research gap of insufficient grassroots perspectives in existing literature.

5 . 1 scenario 1: Rural Grassroots (Digital villages, Rural Governance, Agricultural Business Entities)

core pain points

1 . Weak Infrastructure: Insufficient coverage of 5G and computing terminals in remote rural areas, with high costs for data collection.

2. Low Digital Literacy: Farmers and village committee cadres lack operational capabilities for AI tools.

3. Superficial Application: Most rural digital practices are limited to short video live streaming, lacking in-depth intelligent applications for production and

governance.

4. Insufficient Capital Input: Village collectives cannot afford the transformation costs of large models and intelligent equipment.

key Grassroots Implementation Guidelines

1 . Lightweight Infrastructure Layout: Prioritize deployment of low-cost IoT

perception terminals and lightweight edge AI devices, sharing computing power via county-level computing centers to avoid redundant construction.

2. Build village-level digital intelligence governance mini-programs integrating village affairs disclosure, dispute mediation, convenient administrative services

and disaster early warning, with AI automatically aggregating villagers’ demands.

3. Layered Digital Skills Training: Deliver digital intelligence management

training for village cadres and practical courses on AI planting and e-commerce operation for farmers.

4. Cost Reduction via Government-Enterprise-Village Collaboration: Local

governments and leading agricultural enterprises jointly bear equipment costs, providing free access to lightweight agricultural industry models.

5. Precise Deployment of Characteristic Scenarios: Prioritize intelligent

traceability and production-sales forecasting for local featured agricultural products to fit actual rural industrial conditions, eliminating vanity projects focused on hardware with negligible practical application.

5 . 2scenario 2: urban community Grassroots (Grid-Based Governance, community Livelihood services)

core pain points

Fragmented data across community departments; insufficient funds for intelligent transformation of old residential compounds; digital exclusion among elderly

groups with high operation thresholds for intelligent devices.

key Grassroots Implementation Guidelines

1 . Unified community digital intelligence platform: Interconnect data across

multiple departments, enabling AI to automatically identify elderly residents living alone, vulnerable groups and potential safety hazards to deliver proactive services.

2. Age-friendly lightweight intelligent applications: Simplify operation interfaces and deploy voice-interactive AI services to lower usage barriers for the elderly.

3. Phased intelligent transformation of old residential compounds: Prioritize deployment of intelligent access control, AI fire hazard early warning and

intelligent garbage sorting supervision, with gradual full-scale promotion.

4. AI-assisted grid patrols: Cameras combined with computer vision AI

automatically detect illegal street occupation and fire risks, reducing offline workloads for grid administrators.

5.3scenario 3: county-Level MSMEs (Manufacturing, commerce and service Industries)

core pain points

Limited capital to purchase customized industry-specific large models; lack of

professional digital intelligence operation and maintenance talent; vague digital transformation paths with unclear input-output benefits.

key Grassroots Implementation Guidelines

1 . Government-built inclusive AI service platforms: Unified procurement of lightweight general models with ultra-low service fees for MSMEs to share computing power costs.

2. Standardized industrial transformation packages tailored for retail, processing and logistics industries to avoid blind investment by enterprises.

3. Local school-enterprise talent support: Vocational colleges provide part-time AI operation and maintenance services for regional MSMEs.

4. Prioritize rigid-demand core scenarios: Deploy intelligent inventory

management, AI customer marketing and visual production quality inspection first to rapidly realize cost reduction and efficiency gains.

5 . 4scenario 4: county-Level Grassroots Government Administration (Town convenience service centers,

Grassroots Law Enforcement, Livelihood security) core pain points

Limited staffing and heavy workloads at grassroots institutions; repeated

submission of materials across departments; lagging risk early warning dominated by post-incident disposal.

key Grassroots Implementation Guidelines

1 . AI automatic government approval: Intelligent verification of materials for

license processing and subsidy applications to reduce pressure on manual service windows.

2. Full-domain intelligent risk early warning: AI analysis of social insurance, workplace safety and petition data to realize pre-intervention.

3. Unified aggregation of grassroots data: Connect data across all town offices and stations to eliminate data silos and reduce repeated reporting forms for

grassroots staff.

5 . 5 universal core principles for Grassroots Digital Intelligence Integration

1 . Inclusiveness First: Reject high-investment, low-practicality vanity high-end

projects, centering on low-cost lightweight technologies.

2. Demand-Supply Matching: Adapt to real grassroots production and

governance demands, avoiding mechanical replication of large-scale urban industrial intelligent solutions.

3. Phased Advancement: Fully deploy digital intelligence systems in developed towns while implementing step-by-step construction in underdeveloped regions, prioritizing rigid demands before upgrades.

4. Digital Inclusiveness: Address gaps in digital capabilities among the elderly, rural populations and MSME operators, supporting training and simplified offline auxiliary services.

6 prominent challenges Facing Global and Domestic Al -Digital Intelligence Integration

6. 1 International competition and Governance challenges

1 . Technological Hegemony and Computing Power Barriers: The US and Western countries construct technical barriers through export restrictions on chips and

underlying models, increasing pressure on developing economies to achieve independent and controllable digital intelligence integration.

2. Fragmented Global Rules: Divergent national AI supervision and cross-border data laws lack unified international coordination standards, hindering digital trade circulation.

3. Widening Global Digital Divide: Low-income countries lack sufficient computing power, data and talent to share the dividends of AI industries.

6. 2structural challenges in Domestic High-End Industrial Transformation

1 . Shortcomings in Independent Underlying Technologies: High reliance on foreign suppliers for high-end industrial large models, AI computing chips and professional industrial algorithms.

2. Unbalanced Industrial Transformation: Mature integration in leading

enterprises and first-tier cities, while county-level regions, traditional industries and MSMEs lag far behind.

3. Imperfect Circulation Mechanisms for Data Factors: Insufficient opening of public data, incomplete systems for data right confirmation, pricing and trading, limiting full release of data value.

6.3 Deep-seated Bottlenecks for Grassroots Implementation

1 . Stratified Gaps in Digital Literacy: Significant disparities in AI application

capabilities between urban and rural residents, grassroots cadres and operators of MSMEs.

2. Absent Sustainable Capital Guarantee Mechanisms: Grassroots digital

intelligence transformation relies heavily on one-time fiscal investment without long-term operation and maintenance funds.

3. Conflicts Between Technology and Institutional Adaptation: Traditional

hierarchical administrative procedures conflict with the flat collaborative logic of digital intelligence, with unclear rights and responsibilities for cross-departmental grassroots data sharing.

4. Poor Adaptation of Downward Algorithms: General large models fail to fit niche county and rural scenarios, with excessively high costs for customized adaptation.

6.4 universal security and Ethical Risks

Algorithmic bias, data leakage, security vulnerabilities in intelligent equipment,

structural employment shocks from AI and platform data monopolies permeate all industrial and grassroots scenarios.

7 High-Quality Development paths for Digital Intelligence Integration coordinating Global

collaboration , Industrial upgrading and Grassroots Inclusiveness

Targeting three core objectives: international competition security, high-end industrial breakthroughs and balanced grassroots inclusiveness, this section constructs a four-dimensional integrated implementation path.

7 . 1 Global Dimension: Building an Inclusive and

collaborative New pattern of Global Digital Intelligence Governance

1 . Participate in Formulating Global AI Standards: Leverage China’s abundant

industrial scenarios to promote unified international rules for cross-border data

flows and trustworthy industry-specific large models, enhancing China’s discourse power in global digital standard-setting.

2. Establish a Support System for Digital Intelligence in Developing Economies: Export lightweight digital infrastructure and inclusive grassroots AI solutions to narrow the North-South global digital divide.

3. Parallel Pursuit of Self-Reliance and Opening Cooperation: Make

breakthroughs in core technologies including underlying computing power, chips

and basic models, while advancing compliant cross-border data circulation to balance security and openness.

7. 2ToP-Tier Industrial Dimension: Build an Independently controllable, Leading Global Digital Intelligence Industrial Ecosystem

1 . Strengthen Whole-of-Nation System Research Breakthroughs: Focus on key fields such as industrial large models and general intelligent agents, improving collaborative innovation systems linking national laboratories and leading

enterprises.

2. Tiered Cultivation of Industrial Benchmarks: Build full-chain digital twin demonstration bases for advanced manufacturing, and national-level digital intelligence integration pilot zones for digital finance and digital trade.

3. Improve the Market-Oriented System for Data Factors: Perfect systems for data right confirmation, trading and income distribution, open public data

resources to unleash the value of data factors.

4. Leading Enterprises Driving Coordinated Transformation of MSMEs: Introduce fiscal subsidies and inclusive computing power policies to lower intelligent

transformation costs for micro and small enterprises.

7 .3 Grassroots Implementation Dimension: Build a Tiered, Inclusive Lightweight Downward penetration system

1 . Tiered Construction of County-Level Shared Computing Power Infrastructure: Build unified computing centers at the county level for shared use by towns,

villages and MSMEs to reduce grassroots investment costs.

2. Tiered and Classified Precise Implementation Schemes: Deploy full-scenario in -depth integration in developed regions, while prioritizing lightweight livelihood and industrial rigid-demand applications in underdeveloped areas.

3. Regular Grassroots Digital Literacy Cultivation: Establish long-term AI skills training mechanisms for village cadres, farmers and MSME operators.

4. Improve Sustainable Grassroots Operation Mechanisms: Adopt diversified

funding models combining fiscal subsidies, enterprise service fees and village

collective industrial revenues to resolve vacant operation and maintenance after one-time infrastructure investment.

5. Promote Age-Friendly and Agriculture-Friendly Digital Inclusive

Transformation: Simplify interactive modes of intelligent applications and support offline auxiliary services to eliminate digital exclusion.

7 . 4 Institutional Governance Dimension: Improve a secure,

controllable and Human-centered Digital Intelligence Governance system

1 . Perfect Tiered and Classified AI Supervision Systems: Benchmark international risk classification frameworks to implement differentiated regulation for industrial, government administration and livelihood AI applications.

2. Establish filing systems for algorithms and data security review mechanisms to guard against data leakage and algorithmic discrimination risks.

3. Promote Two-Way Adaptation Between Technology and Institutions: Reform fragmented grassroots administrative management systems, establishing clear

rights and responsibilities for cross-departmental data sharing to break institutional barriers.

4. Balance Technical Efficiency and Humanistic Value: Digital intelligence

integration shall ultimately target livelihood inclusiveness and common prosperity, avoiding technological alienation and overemphasis on efficiency alone.

8 conclusion and outlook

The in-depth integration of AI and digital intelligence constitutes the core thread of the new round of technological and industrial revolution, carrying strategic

global competitive height, depth in modern industrial transformation and breadth of urban-rural grassroots inclusiveness. Differentiated development paradigms

have taken shape worldwide, with technological competition, rule games and

digital divides as long-standing coexisting global patterns. Domestically, digital

intelligence integration drives high-end restructuring across manufacturing,

finance, agriculture, urban governance and digital trade, spawning new growth

points for industrial value. Deployed at grassroots units including towns,

communities and MSMEs, digital intelligence technologies can make up for

shortcomings in public services and activate grassroots industrial vitality, yet they remain constrained by infrastructure, capital, digital literacy and institutional

adaptation.

To advance high-quality development of digital intelligence integration, internal

and external landscapes must be coordinated. Externally, China shall deeply

participate in global digital governance, adhere to parallel independent innovation and openness and inclusiveness, and build a balanced and inclusive global digital development system. Domestically, a dual-track advancement system of "top-tier breakthroughs in high-end industries + tiered inclusive grassroots

implementation" shall be constructed. On one hand, breakthroughs in core

underlying technologies shall be pursued to build world-class digital intelligence industrial clusters. On the other hand, lightweight technology penetration shall be promoted to narrow digital development gaps between urban and rural areas,

large enterprises and MSMEs. The deep integration of AI and digital intelligence will continuously foster new productive forces, providing core momentum for the construction of Digital China and Chinese modernization.

In the long run, human-machine collaboration, full-domain intelligence and

inclusive data factors will become long-term evolutionary trends of digital

intelligence integration. Future research shall continuously balance technological innovation, security governance and livelihood equity, avoiding negative effects including technological monopoly and digital differentiation, so that the

integration of AI and digital intelligence can truly serve common global development and domestic common prosperity.

品质筑家·盛典献礼｜百安居27周年庆活动感恩回馈钜惠开启盛夏焕新

Wed, 08 Jul 2026 16:20:24 +0800

家装焕新正当时，在家装消费利好政策与行业旺季的合力共振下，不少家庭着手规划住宅空间升级，恰逢百安居迎来27周年庆，品牌开启盛夏家装盛典活动，推出建材折扣、品类补贴、签单赠礼，以及专属家装特权多项实惠，助力消费者高效整装新居，轻松打造舒适宜居的居住空间。

周年安家礼遇：年中让利，全品类福利升级

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活动重磅大额福利看点满满，到场签约能一次性解锁三重家装专属权益，免费赠送全屋入户电改，省下额外开支、规避装修踩坑；签单满额直赠慕思床垫。百安居一站式配套服务省心有保障，施工全流畅可视监管，整体家装选用环保优质主材享有双十年质保承诺，用专业细致的服务为您打造省心安心的品质家装。

百安居专注家装服务行业27年，完善的品牌供应链与成熟的服务体系，搭建起完整家装服务链路。本次周年庆家装专场，整合全品类让利、专项品类补贴、多档满赠礼遇，让有家装需求的消费者以实惠的价格，轻松完成全屋空间焕新。

27年坚守本心：标准施工工艺，全程安心无忧

在消费需求持续升级的当下，百安居专注家装工程标准化落地，把施工品质放在首位，用专业精细的家装服务与使用规范，提供一站式家装服务流程，从设计、选材到施工、交付全程服务贯穿始终。百安居累计斩获施工工艺国家专利60余个，手握180项标准施工工艺、多项高端专项工艺。从施工源头稳住家装质量，让装修更扎实、更耐用。

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盛夏焕新居，周年送好礼。在这个充满活力的夏日，百安居邀您共赴27周年品质家装之约，有新房整装、旧房焕新需求的消费者可把握契机，将对新家的期许细化为看得见的幸福。愿每一次空间改造都盛满生活质感，从容筑造温馨宜居的理想居所，邂逅日常居家的万般美好。

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