Design and Development of a Solar-Powered Remote-Controlled Water Waste Collector for Efficient Aquatic Pollution Management
摘要
The paper introduces a remote-controlled, solar-powered aquatic waste collector designed to address water pollution by collecting and monitoring floating debris in water bodies. The system features an autonomous floating platform powered by a solar energy assembly, ensuring a sustainable and continuous power supply. The primary propulsion system consists of a Brushless DC (BLDC) motor interfaced with an Electronic Speed Controller (ESC) for precise bidirectional control. The platform is navigated using a Radio Frequency (RF) remote control, where the RC transmitter communicates with the RC receiver to maneuver the collector efficiently across the water surface. The waste collection mechanism incorporates a turbidity sensor for real-time water quality monitoring, providing data on the levels of suspended particles and pollution indicators. The BLDC motor, coupled with propellers, propels the platform, while the servo motor adjusts the collector mechanism to optimize the capture of debris. The paper emphasizes environmental sustainability and operational efficiency by integrating renewable energy, advanced propulsion, and real-time monitoring technologies, offering a scalable solution to address aquatic pollution. The power management is supported by a Lithium Polymer (LiPo) battery charged through solar panels, ensuring an eco-friendly energy solution. The collected waste, with a capacity limit of up to 1.2 kg, is lifted using the RC transmitter’s commands, enabling remote unloading. The system’s maneuverability is enabled through a 2.4 GHz RF-based remote control, facilitating efficient navigation and operation of the collection mechanism in real time. This project emphasizes environmental sustainability and low cost-effective, and operational efficiency by integrating renewable energy, advanced propulsion, and real-time monitoring technologies, offering a scalable solution to address aquatic pollution. The integration of sensors, remote control, and renewable energy sources ensures the system operates efficiently while reducing human intervention and environmental impact.