WIND-SOLAR HYBRID DRIVE-CONTROLLED AUTONOMOUS SHIP FOR EXPLORATION BASED ON RASPDERRY PI

In order to facilitate the monitoring of water area data in various regions, enhance the efficiency of environmental monitoring, and respond to the national goals of carbon peaking and carbon neutrality, this project has developed an intelligent unmanned detection vessel driven by a hybrid of wind and solar power. This project adopts Raspberry PI 4b motherboards. By designing the hull of the unmanned vessel and integrating a remote control system and an intelligent detection system, it is equipped with high-precision GPS positioning to control the unmanned vessel to perform monitoring tasks in specific waters. By using video monitoring and various sensors to collect data, and after analysis, the test information is transmitted in real time to the user's mobile phone APP or computer. The collected monitoring data can be synchronized to the user's terminal device in real time to ensure the timeliness and accuracy of the information. This system has high stability and reliability in actual operation. Meanwhile, the unmanned vessel can generate electricity by using the wind-solar drive module to achieve its endurance. This research has certain reference value.