The Industrial Internet of Things (IIoT) brings value-added services to traditional devices and has become an important business and technology mode in the industry 4.0 era. While, the combination of digital twin (DT) and the IoT can promote the integration of the physical world (real) and the digital world (virtual), which becomes the key to give play to the value of the IIoT. This research analyzes the concept of DT and several influential DT framework models and concludes that the implementation of DT focuses on data, models, and services (DMS framework). This framework is applied to the device acquisition layer and the remote system layer of IIoT, and the DT of the device is composed logically by constructing partial DT with different functions. The IoT system formed by this approach focuses on "device-DT-application". This method has guided the establishment of the IoT of Gas-insulated Switchgear (GIS) and been proved to be feasible. It proposes a unified architecture for IoT systems, which can flexibly support an internal extension of the DT and multi-DT connection to map complex systems better in the digital world. It isolates the direct access of business to equipment, strengthens the division and cooperation between local and cloud, and promotes the integration and synchronization of virtual and real. Also, this study provides some references for the collaborative framework between the edge and the cloud.

工业物联网（IIoT）将增值服务带给传统设备，并已成为工业4.0时代的重要业务和技术模式。同时，数字孪生（DT）和物联网的结合可以促进物理世界（真实）和数字世界（虚拟）的集成，这成为发挥IIoT价值的关键。这项研究分析了DT的概念和几种有影响力的DT框架模型，并得出结论DT的实现侧重于数据，模型和服务（DMS框架）。该框架适用于IIoT的设备获取层和远程系统层，通过构造具有不同功能的部分DT逻辑上构成设备的DT。通过这种方法形成的物联网系统专注于“设备DT应用”。该方法指导了气体绝缘开关设备（GIS）物联网的建立，并被证明是可行的。它为物联网系统提出了一个统一的架构，该架构可以灵活地支持DT的内部扩展和多DT连接，以更好地映射数字世界中的复杂系统。它隔离了企业对设备的直接访问，加强了本地与云之间的划分与合作，并促进了虚拟与真实的集成与同步。此外，本研究还为边缘和云之间的协作框架提供了一些参考。它可以灵活地支持DT的内部扩展和多DT连接，以更好地映射数字世界中的复杂系统。它隔离了企业对设备的直接访问，加强了本地与云之间的划分与合作，并促进了虚拟与真实的集成与同步。此外，本研究还为边缘和云之间的协作框架提供了一些参考。它可以灵活地支持DT的内部扩展和多DT连接，以更好地映射数字世界中的复杂系统。它隔离了企业对设备的直接访问，加强了本地与云之间的划分与合作，并促进了虚拟与真实的集成与同步。此外，本研究还为边缘和云之间的协作框架提供了一些参考。