Steady State AR Infrared Temperature Measurement Technology of Secondary Equipment in Intelligent Substation Based on Improved YOLOv4
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国家科技期刊平台
NETL
NSTL
万方数据
研究了基于改进 YOLOv4 的智能变电站二次设备稳态 AR 红外测温技术,实现智能变电站二次设备稳态识别.在分析红外测温原理的基础上,利用 AR红外测温眼镜采集智能变电站二次设备温度的红外图像,通过改进加权引导滤波增强算法对采集智能变电站二次设备温度的红外图像实施图像增强处理,将处理后的红外图像输入改进 YOLOv4 网络中,实现智能变电站二次设备稳态识别.实验表明:该方法可准确采集智能变电站二次设备 8 个保护屏柜的内部温度,且接近设备实际运行温度;同时有效降低智能变电站二次设备的红外图像的噪声,对智能变电站二次设备稳态识别的应用效果较好,能准确识别出智能变电站的二次设备异常状态,助力智能变电站运维管理员针对设备异常状态做出对应维修方案.
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.
improved YOLOv4intelligent substationsteady state of secondary equipmentAR infraredtemperature measurement technologyloss function
国家科技期刊平台
NSTL
万方数据
