流程工业控制系统的知识图谱构建

doi:10.11959/j.issn.2096-6652.202216

摘要/Abstract

摘要：

近年来，工业控制系统智能化的趋势方兴未艾，相关新技术新思想不断被提出。知识图谱是人工智能应用的基础资源，构建专业领域知识图谱已经成为研究热点。然而，控制系统知识图谱构建尚处于发展初期。对控制系统的结构特点和任务要求进行分析，给出控制系统的知识图谱构建的方法框架。首先对已有的流程工业控制系统知识图谱构建的工作进行总结，阐述了工业控制系统的特点，给出了控制系统知识图谱构建的基本原则和流程，并以控制系统信息物理资产管理任务为例进行了详细的知识图谱构建说明。最后，对未来的研究方向进行了展望。

关键词: 控制系统, 领域知识图谱, 物理信息系统, 构建技术

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

中图分类号:

TP182

牟天昊,李少远. 流程工业控制系统的知识图谱构建[J]. 智能科学与技术学报, 2022, 4(1): 129-141.

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.

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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}