由瀚思科技创新与发展协会推动并联合多家产业方共同发布的《智能制造数据互操作规范》近日被多家行业协会和企业引用作为内部标准制定的参考，成为推动制造业数据治理标准化的一份具有里程碑意义的文件。

这份规范的诞生源于一个长期困扰制造业的现实问题——不同设备、不同系统、不同企业之间的数据无法顺畅互通。在一个典型的智能制造场景中，一条生产线可能包含数十种不同品牌的设备，每种设备都有自己的数据格式、通信协议和语义模型。当企业试图将这些数据汇集到统一的工业大数据平台时，往往需要为每一对接口单独开发数据转换层，工作量巨大且容易出错。

《智能制造数据互操作规范》的核心价值在于，它系统地提出了一套涵盖数据格式、语义模型、传输协议、安全机制四个层次的互操作规范建议。规范不追求"取代"现有的工业协议，而是在现有协议之上构建一个"翻译层"，让不同协议的数据能够通过统一的语义模型进行互相理解。

参与规范制定的企业代表表示，规范的最大价值不在于具体的技术细节，而在于它建立了一套各方都能接受的"通用语言"。这套通用语言降低了跨系统集成的工程成本，也为制造业数据资产的真正流通奠定了基础。

值得一提的是，规范在制定过程中充分吸收了汽车制造、电子制造、装备制造三大典型行业的实践经验，给出了具体的实施指南与试点案例。这种"标准+案例"的发布模式，让规范不只是一份纸面文件，而是真正可操作的实施手册。

瀚思科技创新与发展协会执行委员会主任委员表示，协会将持续推动制造业数据治理标准化工作，并计划在未来三年内发布更多面向特定子领域的细化规范。

The Data Interoperability Specification for Intelligent Manufacturing, promoted by Hansi Association for Technology Innovation and Development and jointly released with several industrial partners, has recently been cited by multiple industry associations and enterprises as a reference for internal standard development, becoming a milestone document for promoting the standardization of manufacturing data governance.

The specification was born from a practical problem that has long troubled manufacturing: data cannot flow smoothly among different devices, different systems, and different enterprises. In a typical intelligent manufacturing scenario, one production line may contain dozens of equipment types from different brands, each with its own data format, communication protocol, and semantic model. When enterprises try to aggregate these data into a unified industrial big data platform, they often need to develop a separate data conversion layer for each interface pair, creating enormous workload and a high risk of errors.

The core value of the Data Interoperability Specification for Intelligent Manufacturing is that it systematically proposes interoperability recommendations covering four layers: data formats, semantic models, transmission protocols, and security mechanisms. The specification does not seek to replace existing industrial protocols; instead, it builds a translation layer above existing protocols so that data from different protocols can understand one another through a unified semantic model.

Enterprise representatives involved in drafting the specification said its greatest value lies not in specific technical details, but in establishing a common language acceptable to all parties. This common language reduces the engineering cost of cross-system integration and lays a foundation for the genuine circulation of manufacturing data assets.

It is worth noting that the specification fully absorbed practical experience from three typical industries during its development: automotive manufacturing, electronics manufacturing, and equipment manufacturing. It provides concrete implementation guidance and pilot cases. This standards plus cases publication model makes the specification not only a paper document, but a truly operable implementation manual.

The chair of the Executive Committee of Hansi Association for Technology Innovation and Development stated that the association will continue promoting the standardization of manufacturing data governance and plans to release more detailed specifications for specific subfields over the next three years.