In this study, a detection method based on infrared thermal imaging technology is developed for the defect detection problem of agricultural distribution network lines. This method combines advanced laser technology and infrared thermal imaging analysis to effectively improve the accuracy and efficiency of detection. The laser device is used to thermal motivate the rural distribution network line from multiple angles, and then the thermal image data is collected through an infrared thermal imager. The in-depth analysis of the thermal images accurately identifies the tiny cracks and other potential defects in the line. Experimental data show that this method can significantly improve the SNR of defect identification and reduce the missed detection rate, and it is an efficient detection technology adapted to meet the needs of modern agricultural power grid. This technology not only optimizes the detection process, but also greatly shortens the detection time, and improves the operation safety and reliability of the rural distribution network.

infrared thermal imaging  /  rural distribution network  /  defect detection  /  laser excitation  /  signal to noise ratio