引用本文: | 林凌云,陈 青,金 磊,等.基于知识图谱的变电站告警信息故障知识表示研究与应用[J].电力系统保护与控制,2022,50(12):90-99.[点击复制] |
LIN Lingyun,CHEN Qing,JIN Lei,et al.Research and application of substation alarm signal fault knowledge representation based on knowledge graph[J].Power System Protection and Control,2022,50(12):90-99[点击复制] |
|
摘要: |
变电站监控端积压有大量告警信息文本,通过挖掘其中隐含的故障知识可以帮助监控人员快速掌握故障情况,提升故障处置效率。首先基于知识图谱技术提出了变电站告警信息故障知识表示方法。分析了告警信息的现有分类和解析内容,之后提出了告警信息故障知识图谱的构建方法,以事故和变位信号构造电网事故行为图谱,以异常信号构造设备异常行为图谱。从而挖掘并展示告警信号间的行为逻辑、关联关系和故障后的重要信息,为现场监控人员快速获取关键故障信息提供便利,提升故障处置效率。通过给出知识图谱可视化案例展示了方法的可行性。最后分析了知识图谱在信号解析、故障诊断、故障追踪领域的扩展应用,使变电站告警信息数据在电网故障处理领域得到更好的利用与挖掘。 |
关键词: 告警信息 知识图谱 故障知识 |
DOI:DOI: 10.19783/j.cnki.pspc.211136 |
投稿时间:2021-08-19修订日期:2022-02-12 |
基金项目:国家自然科学基金项目资助(51877123) |
|
Research and application of substation alarm signal fault knowledge representation based on knowledge graph |
LIN Lingyun,CHEN Qing,JIN Lei,WANG Lei |
(1. Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education (Shandong University),
Jinan 250061, China; 2. State Grid Tianjin Electric Power Company, Tianjin 300010, China;
3. Technology College, State Grid Corporation of China, Jinan 250002, China) |
Abstract: |
There are many alarm signal texts in the backlog of the monitoring terminal of a substation. Retrieving the hidden fault knowledge in them can help monitoring personnel to quickly grasp the fault situation and improve the efficiency of fault handling. Based on knowledge graph technology, this paper first proposes a method of expressing the fault knowledge of a substation alarm signal. It analyzes the existing classification and analysis content of the signal, and then proposes a method for constructing the fault knowledge graph of alarm signal, i.e. constructing a power grid accident behavior graph with accident and displacement signals, and constructing a device abnormal behavior graph with abnormal signals. Then it uses the graphs to excavate and display the behavioral logic, correlation between alarm signals and important information after the failure, so as to provide a convenient way for on-site monitoring personnel to quickly obtain key failure information and improve the efficiency of failure handling. The feasibility of the method is demonstrated with a case of knowledge graph visualization. Finally, the extended application of knowledge graphs in the fields of signal analysis, fault diagnosis, and fault tracking is analyzed, so that the substation alarm signal data can be better tapped and used in the field of power grid fault processing.
This work is supported by the National Natural Science Foundation of China (No. 51877123). |
Key words: alarm signal knowledge graph fault knowledge |