流程工业控制系统的知识图谱构建

doi:10.11959/j.issn.2096-6652.202216

Abstract

Abstract:

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:

TP182

Tianhao MOU,Shaoyuan LI. Knowledge graph construction for control systems in process industry[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(1): 129-141.

Figures/Tables 8

References 114

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类名	类属性
操纵变量	{变量名，变量编号，高限，低限，基础值，采样频率，数据类型，位置}
测量变量	{变量名，变量编号，高限，低限，基础值，采样频率，数据类型，位置}
反应装置	{装置名，装置编号，位置，附加说明}
传感器	{传感器名，传感器编号，采样频率，位置}
监控算法	{算法名，算法编号，执行周期，复杂度，附加说明}

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