基于激光雷达测距的变电站自动化仪表智能识别系统
Intelligent Identification System for Substation Automation Instruments Based on LiDAR Ranging
郭子强 1方勇 1王健 1马俊武1
作者信息
- 1. 国网甘肃省电力公司兰州供电公司,兰州 730000
- 折叠
摘要
为实时、准确地监测变电站多种设备运行状态,避免人工监测误差和延时,该文研究基于激光雷达测距的变电站自动化仪表智能识别系统.利用激光扫描雷达采集变电站自动化仪表的距离数据和俯仰角数据,得到位置坐标;采用OpenCV4拍摄自动化仪表图像,输入SVM多元分类器,实现自动化仪表智能识别;根据识别结果,通过控制模块下发报警指令.实验结果显示,该系统应用激光扫描雷达测量的自动化仪表的距离与实际距离几乎一致,最大误差仅为0.04 m,且可实现变电站仪表智能识别,识别结果与实际读数一致,能够实时、准确地监测变电站多种设备运行状态.
Abstract
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.
关键词
激光雷达测距/变电站/自动化仪表/智能识别/SVM/小数点处理Key words
LiDAR ranging/substation/automation instruments/intelligent recognition/SVM/decimal point processing引用本文复制引用
基金项目
国家电网甘肃省电力公司兰州供电公司项目(B32701230008)
出版年
2024
NETL
NSTL
万方数据