期刊论文

Research on Distributed Electrical Equipment Fault Diagnosis System Based on Multi-agent and Big Data

中文

供用电

1006-6357

2018

35

10

74-78

10.19421/j.cnki.1006-6357.2018.10.013

本校为第一机构

在电力大数据环境下,提出基于多Agent技术的电气设备故障诊断系统的构成框架.利用电力大数据对电气设备进行诊断,以解决电气设备复杂过程的诊断问题.在设计的单体电气设备的监控与诊断中,采用ODS访问电力大数据,以提高电力大数据的访问效率;在多Agent系统设计中主要采用管理控制Agent、分析诊断Agent以及信息感知Agent,来实现故障诊断系统的智能部件;并在协同工作机制的环境下,确定Agent的具体任务,建立多Agent系统,实现对各个厂站电气设备高效的智能诊断.

The framework of the electrical equipment diagnosis system based on multi-agent is put forward under the environment of electric power big data in this paper. Electric power big data is used to diagnose electrical equipment in order to solve diagnosis problems in complicated process. In design of monitoring and diagnosing a single electrical equipment,ODS is used to access electric power big data to improve the efficiency of data access. In design of the multi-agent system,the management agent,analysis and diagnosis agent,information sense agent are adopted to compose the intelligent parts of ...