The operation status information data of 10 kV substation power equipment is large and discrete,which can easily affect the accuracy of health status monitoring.Therefore,an automatic monitoring method for the health status of power equipment in 10 kV substations based on the internet of things is proposed.This method utilizes IoT technology to collect real-time data on device health status,introduces decision functions to process discrete data,uses data mining algorithms to identify feature parameters,and combines failure rates and operating trends to obtain performance indicators.By constructing a health condition status matrix,the equipment health status index is determined to achieve automatic monitoring.Experimental results have shown that this method has high monitoring accuracy and can accurately reflect the health status of power equipment.
维普
万方数据