Water Quality Sampling and Multi-Parameter Monitoring System Based on Multi-Rotor UAV Implementation

Water quality sampling and monitoring are fundamental to water environmental protection. The purpose of this study was develop a multi-parameter system mounted on multi-rotor unmanned aerial vehicle (UAV). consisted the UAV, detection device, path planning algorithm. device composed rotating drum, direct current (DC) reduction motor, suction hose, high-pressure isolation pump, bottles, microcontroller. sensors for potential hydrogen (pH), turbidity, total dissolved solids (TDS), flight UAV optimized using proposed layered hybrid improved particle swarm optimization (LHIPSO) rapidly-exploring random trees (RRT) obstacle avoidance algorithm, in order improve efficiency. Simulation experiments were conducted that compared LHIPSO algorithm with (PSO) dynamic adjustment (DAPSO) simulation results showed had global capability stability other algorithms, validating effectiveness Field at an aquaculture fish farm, achieved real-time three parameters (pH, TDS, turbidity) depths 1 m 2 m. A rapid analysis (ammonia nitrogen, nitrite, oxygen) performed laboratory collected samples, validated feasibility study.