Power equipment fault detection method and system based on infrared thermal imaging

The invention provides a power equipment fault detection method and system based on infrared thermal imaging, and relates to the technical field of power equipment state detection, and the method comprises the steps: S1, collecting and making a data set, and carrying out the preprocessing of the data set, the data set comprising the original infrared thermal imaging of power equipment; s2, according to the preprocessed data set, a YOLOV5 model based on a PyTorch framework is established; and S3, collecting real-time infrared thermal imaging of the power equipment, inputting the infrared thermal imaging into the PyTorch-based YOLOV5 model for predictive analysis, and judging whether early warning is needed or not according to an analysis result. Micro defects or abnormal conditions on the surface of the power equipment can be accurately captured, and meanwhile, the reliability and consistency of detection are improved. 本发明提出了一种基于红外热成像的电力设备故障检测方法和系统，涉及电力设备状态检测技术领域，包括步骤S1：采集并制作数据集并进行预处理，数据集包含电力设备的原始的红外热成像；步骤S2：根