在大力推动数据要素市场建设与智改数转的战略背景下，产业数据的流通利用仍面临动态供给不足、安全可信度不高、互操作性不强等多方面问题，而数据空间模式在制度设计、技术工具等方面的创新突破具备解决此类问题的适配优势。文章以破解产业数据流通利用困境为导向，通过建构数据链、创新链、产业链协同联动的基本思路，基于数据空间的结构化框架设计与技术解决方案实现了三链互动的逻辑框架；通过聚焦数据、主体、环境等重点目标，从流程化视角出发对整体技术架构进行解构设计，规划其中的主要功能模块，并从支撑技术体系运行的核心组件切入，建构以数据流通利用功能为核心的功能性技术工具，呈现了该架构中关键技术的基本原理和前沿趋势。

Under the strategic background of vigorously promoting the construction of data factor market and intelligent transformation and digital transformation, the circulation and utilization of industrial data still faces many problems such as insufficient dynamic supply, low security and reliability, and weak interoperability. The innovative breakthroughs of data spaces model in institutional design, technical tools and other aspects have the adaptability advantage to solve such problems. Guided by solving the dilemma of industrial data circulation and utilization, this article realizes the logical framework of the interaction of the three chains by constructing the basic idea of synergistic linkage of data chain, innovation chain and industrial chain based on the structured framework design and technical solutions of data spaces; by focusing on key targets such as data, subject and environment, the overall technical architecture is deconstructed and designed from a process perspective, the main functional modules are planned, and the core components supporting the operation of the technical system are cut in to construct functional technical tools with data circulation and utilization as the core, presenting the basic principles and cutting-edge trends of key technologies in this architecture.