Application of Intelligent Bird Repelling Technology for Power Transmission and Transformation Equipment
Hongyi Zhou, Hao Zhang, Aijun Wang, Fang Xu, Hao Xu, Yu Song · 2024
In recent years, transmission line and substation equipment failures caused by bird activities have occurred frequently, making birds one of the three major causes of these failures. Bird-related disaster prevention and control have received more attention. To improve the accuracy of bird target detection and decrease the birds adaptation to bird repellent measures, this paper investigates the intelligent bird repellent method for power transmission and substation equipment based on reinforcement learning and image processing. The system design and application is also given in this paper. Firstly, the intelligent bird repellent system architecture is designed. Then the bird target detection algorithm with YOLOv5 under low samples and overlapping small targets is improved by Mosaic-9 data enhancement, loss function improvement and backbone optimization. Later, improved expected SARSA reinforcement learning algorithm is applied for the optimization of bird repellent device parameters with the initialization strategy and dynamic learning rate. Finally, the hardware and software of the intelligent bird repellent system are designed, and the system is applied in a power line tower. The test results show that the proposed system has high identification accuracy in the complex scene of power transmission and transformation equipment, and has better performance of decreasing bird adaptation to the device.