计算技术与自动化2024，Vol.43Issue(2)：35-40,6.DOI:10.16339/j.cnki.jsjsyzdh.202402006
基于改进YOLOv4的智能变电站二次设备稳态AR红外测温技术
Steady State AR Infrared Temperature Measurement Technology of Secondary Equipment in Intelligent Substation Based on Improved YOLOv4
柳皓 1马强 1付强 1陈远 1赵通汉1
作者信息
- 1. 国网宁夏电力有限公司 固原供电公司,宁夏 固原 756000
- 折叠
摘要
Abstract
The steady state AR infrared temperature measurement technology of secondary equipment in intelligent sub-station based on improved YOLOv4 is studied to realize the steady state identification of secondary equipment in intelligent substation.On the basis of analyzing the principle of infrared temperature measurement,the AR infrared temperature measuring glasses are used to collect the infrared image of the temperature of the secondary equipment in the intelligent sub-station,and the infrared image of the temperature of the secondary equipment in the intelligent substation is enhanced by the improved weighted guided filter enhancement algorithm.The processed infrared image is input into the improved YOLOv4 network to realize the steady recognition of the secondary equipment in the intelligent substation.The experiment shows that this method can accurately collect the internal temperature of 8 protection panels of the secondary equipment in the intelligent substation,and is close to the actual operating temperature of the equipment;At the same time,it can effectively reduce the noise of the infrared image of the secondary equipment of the intelligent substation,and has a good application effect on the steady-state identification of the secondary equipment of the intelligent substation.It can accurately identify the abnormal status of the secondary equipment of the intelligent substation,and help the operation and maintenance administrator of the intelligent substation to make corresponding maintenance plans for the abnormal status of the equipment.关键词
改进YOLOv4/智能变电站/二次设备稳态/AR红外/测温技术/损失函数Key words
improved YOLOv4/intelligent substation/steady state of secondary equipment/AR infrared/temperature measurement technology/loss function分类
信息技术与安全科学引用本文复制引用
柳皓,马强,付强,陈远,赵通汉..基于改进YOLOv4的智能变电站二次设备稳态AR红外测温技术[J].计算技术与自动化,2024,43(2):35-40,6.
