基于区块链的工业互联网标识公共服务应用初探

【目的】通过在分布式的区块链网络上不可篡改地处理标识公共服务应用涉及的主数据模型、知识图谱模型、关键主数据,为跨行业和行业内的公共服务应用提供更加安全可信的标识服务,从而打造更加可信的工业互联网。【文献范围】文章重点调研国内外标识及区块链关键技术、基于标识和区块链的跨领域关联研究,以及面向标识服务进行的区块链建设应用,尤其是工业互联网领域的应用。【方法】本文给出一种基于区块链的工业互联网标识公共服务应用的架构,阐述标识公共服务应用上链的数据及方式、共享机制、智能合约等,并通过行业典型应用场景对各类上链数据进行详细说明。【结果】通过将各行业的主数据模型、知识图谱模型、关键主数据进行原始数据或数据标识上链,为各行业应用提供安全可信的数据支持。【局限】由于工业互联网标识公共服务应用涵盖行业和应用场景较多,暂时无法覆盖所有行业和场景,未来会在更多行业和应用场景进行探索。【结论】基于区块链的工业互联网标识公共服务应用为跨行业和行业内的公共服务应用提供安全可信的数据共享及数据追溯,提升了数据共享的安全和协作效率,为优化公共服务应用提供可靠的数据服务支撑。

Preliminary Study on Public Service Application for Industrial Internet Identification Based on Blockchain

Objective]Based on the tamper-resistant master data model,knowledge graph model,and key master data on a blockchain,more secure and reliable identification services can be provided for cross-industry and within-industry applications,which creates a more credible industrial Internet.Scope of the literature]The article focuses on blockchain-based identification technologies,interdisciplinary researches,and construction of applications for identification services,especially in the field of industrial Internet applications.Methods]This article presents an architecture of public service applications for industrial Internet identification based on blockchain,expounds the data and methods of public service applications on the chain as well as the sharing mechanisms and smart contracts,and illustrates variations of data on the chain through typical industry scenarios.Results]By deployment and identification of the master data model,the knowledge graph model,and some key master data of various industries on the chain,a safe and reliable data support service can be provided.Limitations]Since the public service application for industrial Internet identification covers many industry scenarios,it is not possible for this article to cover all industries and scenarios.In the future,more industry scenarios will be explored.Conclusions]The industrial Internet identification service based on a blockchain can provide safe and reliable data sharing and traceability for cross-industry and withinindustry applications,which can improve the security and collaboration efficiency of data sharing,and provide reliable data service support for optimizing public service applications.