Automatic Monitoring of Water Pollution based on the Combination of UAV and USV

The purpose of this paper is to provide a water pollution monitoring system and method, and a wireless charging coil design method for a monitoring system. The unmanned boat is equipped with a platform with wireless charging function to carry the unmanned aerial vehicle to the monitoring water area, and the UAV (unmanned aerial vehicle) is equipped with relevant equipment to obtain real-time SAR images of the sea surface, and then use the RBF neural network algorithm to identify and locate the oil spill area. After the power of the machine is exhausted, the UAV can be charged by the wireless charging system on the unmanned boat. The system takes full advantage of the UAV's wide viewing angle and other advantages, and uses the unmanned boat as the carrying platform to power the UAV, expands the cruise range of the UAV, can quickly and effectively supervise the relevant waters. In order to verify the effectiveness of the algorithm for automatically identifying oil spill areas in this paper, the extracted SAR images are analyzed. The results show that the proposed algorithm can effectively identify and locate the oil spill area.