An Intelligent IoT Service Support Platform based on Cyber-Physical Space Convergence

Internet of Things (IoT) connects more and more ubiquitous physical objects into cyber space to enable the cyberphysical space convergence. The ubiquitous access, uniform identification and comprehensive cognition of physical objects have become the basic challenges of IoT-enabled cyber-physical convergence space. In order to solve these three problems, we propose an intelligent IoT service support platform in this paper. Firstly, we propose an edge computing-based open IoT system architecture to satisfy the real-time process analytics and bandwidth requirements demanded by ubiquitous access of large-scale IoT objects. Then the enabling technologies of edge computing-based object identification and resolution are proposed to solve the uniform identification and identity consistency problems of IoT objects accessing into cyber space. Thirdly, the enabling technologies of knowledge graph-based object description modeling and discovery system are also proposed to realize the comprehensive digital twins modeling of physical objects, and discover suitable objects to meet application requirements. Finally, combining the Industrial IoT (IIoT) application, an illustrative use case is introduced. The proposed approach can improve the capacities of physical objects to be accessed, recognized and cognized by cyber space so that smart IoT applications and edge services can be supported.