Chinese Journal of Intelligent Science and Technology ›› 2022, Vol. 4 ›› Issue (1): 129-141.doi: 10.11959/j.issn.2096-6652.202216

Special Issue: 知识图谱

• Papers and Reports • Previous Articles    

Knowledge graph construction for control systems in process industry

Tianhao MOU1, Shaoyuan LI1,2   

  1. 1 School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2 Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Revised:2021-11-25 Online:2022-03-15 Published:2022-03-01
  • Supported by:
    The National Key Research and Development Program of China(2018AAA0101701)


Achieving intelligence in industrial control systems is a prevailing trend in recent years, with numerous new technologies and ideas prompted.Knowledge graph is a fundamental resource for artificial intelligence, and domain-specific knowledge graph construction attracts a lot of research attentions.However, knowledge graph construction for control systems is still in the early stage of exploitation.In this paper, structural characteristics and task requirements of process control systems were analyzed.Furthermore, a knowledge graph construction methodology architecture for process control systems was proposed.Firstly, a brief summary on existing related works was given.After that, the characteristics of process industry control systems were analyzed, and the corresponding knowledge graph construction principles and procedures were proposed.Cyber-physical assets management was taken as a case study for detailed explanation.Finally, a prospect for the future research directions of knowledge graph construction for process control systems was made.

Key words: control system, domain-specific knowledge graph, cyber-physical systems, construction technique

CLC Number: 

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