智能化变电站电气设备缺陷检测方法研究

Research on defect detection method of intelligent substation electrical equipment

大数据及AI等新兴技术迅速崛起,针对智能化变电站内部电气设备的缺陷检测工作,通常情况下变电站会配置带电检测、在线监测、动力环境等数字化监测设施。为此,文章基于智能化簇状网络技术,进行数据收集和建模模拟,监测变电站电气设备的运行情况,提升智能化变电站电气设备的缺陷检测质量,并根据实验结果提出相应建议。

With the rapid rise of emerging technologies such as big data and Al,for the defect detection work of electrical equipment inside intelligent substations,substations usually have digital monitoring facilities such as in-line detection,online monitoring,and power environment.Therefore,based on the intelligent cluster network technology,this paper conducts data collection and modeling simulation to monitor the operation of the electrical equipment in the substation and improve the defect detection quality of the electrical equipment in the intelligent substation.Finally,according to the experimental results,corresponding suggestions are given.