以数据的深度挖掘与融合应用为主要特征的信息化3.0阶段正在开启, 传统静态环境下的软件正向人机物融合环境下开放动态的复杂软件演化. 如何在不可信不可控的互联网之上实现全网一体化可信可管可控的数据互联互通是当前亟待解决的难题, 以数字对象架构、标识解析技术为代表的数联网技术体系为上述挑战提供了一种可行思路. 针对互联网上数据资源共享交换过程中广泛存在的传输效率低、协调成本高、安全管控难等问题, 提出面向人机物融合的数联网标识解析技术规范, 并基于人机物融合环境中各实体之间数据资源可发现、可获取、可理解、可信任、可互操作等需求, 设计实现面向人机物融合的数联网数字对象标识解析协议以及数字对象标识系统. 最后, 对所实现的数字对象标识系统进行系统测试与评估, 并在实际应用场景中对其有效性进行验证.
The informationization 3.0 represented by deep mining and fusion applications of big data is starting, and the software in the traditional static environment is evolving into complex software in the human-cyber-physical ternary environment which is open and dynamic. How to realize the trusted, manageable, and controllable data interconnection on the untrusted and uncontrollable Internet is an urgent problem to be solved. The Internet of Data technical system represented by digital object architecture and identi?er resolution technology provides a feasible solution for these challenges. In order to solve the problems such as low transmission efficiency, high coordination cost, and security management issues in the process of data sharing on the Internet, this study proposes identi?er resolution standard specifications for human-cyber-physical ternary environments. Moreover, to meet the demands that data resources owned by different entities need to be discoverable, accessible, understandable, trustworthy, and interoperable in the human-cyber-physical ternary environment, this study designs the identi?er resolution protocol and implements the identi?er/resolution prototype system for human-cyber-physical ternary environments. At last, this study tests the performance of the prototype system, and the validity of the system is verified by applying it to application scenarios.