基于Jetson-TX2的输电线路设备实时巡检系统

针对输电线路及设备巡检效率低的问题，设计了一种基于Jetson-TX2的输电线路设备实时巡检系统。该系统包括基于YOLO v3算法的Jetson-TX2主控模块和云台相机控制模块。Jetson-TX2主控模块通过TensorRT加速库，对YOLO v3算法模型进行优化加速，完成视频流目标实时识别与定位；采用 PID算法控制云台(PTZ)相机，实现设备的高清图像采集。该系统对输电线路设备整体识别准确率达95%，可实现对视频流的实时检测，有效提高输电线路巡检效率。

Real-time inspection system for transmission line equipmentbased on Jetson-TX2

To solve the problem of low efficiency of inspection of transmission line equipment, this paper designs a real-time inspection system for transmission line equipment based on Jetson-TX2. The main control module of Jetson-TX2 based on YOLO v3 and a Pan/Tilt/Zoom(PTZ) camera control module are included in this system. The YOLO v3 algorithm model is accelerated by TensorRT, which is transplanted in Jetson-TX2 to complete the real-time identification and positioning of the device target in the video stream. The PTZ camera is controlled by Jetson-TX2 to realize the high-definition image acquisition of the device through the PID algorithm. The system's overall recognition accuracy for transmission line equipment can reach 95%, which can realize real-time video detection. It can effectively improve the efficiency of transmission line inspection.