Intelligent Identification System for Substation Automation Instruments Based on LiDAR Ranging
To monitor the operation status of various equipment in the substation in real-time and accurately,and avoid manual monitoring errors and delays,a substation automation instrument intelligent recognition system based on LiDAR ranging is studied.Using laser scanning radar to collect distance data and elevation angle data of substation automation instruments,and obtain position coordinates.Using OpenCV4 to capture images of automated instruments,inputting them into SVM multivariate classifiers to achieve intelligent recognition of automated instruments.Based on the recognition results,issue alarm commands through the control module.The experimental results show that the distance measured by the automated instrument using laser scanning radar in the system is almost consistent with the actual distance,with a maximum error of only 0.04 m.It can also achieve intelligent recognition of substation instru-ments,and the recognition results are consistent with the actual readings.It can monitor the operation status of vari-ous equipment in the substation in real time and accurately.
LiDAR rangingsubstationautomation instrumentsintelligent recognitionSVMdecimal point processing
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