Research and application of transmission line intelligent monitoring technology based on UAV inspection

With the rapid development of power construction, overhead transmission line inspection is a key technology to ensure the safe operation of the system. Current detection technology has problems such as slow detection speed, high storage costs, or failure to consider complex background interference. This paper proposes an improved intelligent detection technology that combines the YOLOV5 network with depthwise separable convolution and coordinate attention mechanisms and integrates it with UAV detection. After simulation verification and analysis, compared with the traditional yolov5 solution, the technology mAP@0.5 proposed in this article increased by 1.8%, reaching 98.2%. After entering the stable period, the loss curve declines faster and the fluctuations are smaller. Both the training fluctuation amplitude and the final loss value are better than the improved Yolov5 method, further verifying the effectiveness of this method. This technology not only has great potential in improving the safety and reliability of power system, but also has great significance in reducing the cost of human inspection and promoting the intelligence of power system.