Research on Methods of Rake Suction and Obstacle Avoidance of Sewage Cleaning Robot for Aquaculture Pond

Abstract

The bottom sewage raking and suction obstacle avoidance robot for aquaculture pond is a sewage cleaning device that uses raking and suction technology and path planning as technical means to build a multi particle hybrid identification system, which can realize the effective cleaning of aquaculture pond. The team took turbot breeding and seedling raising as the research object, and carried out simulation tests on the decontamination robot. The test found that the path planning of GBNN algorithm in obstacle environment can achieve high-efficiency decontamination effect, and the total energy consumption and distance are small, which proved that the robot can use cbnn model to carry out adaptive cruise in static obstacle environment. At the same time, the raking and suction performance of the robot is tested, and through the range analysis method of orthogonal experiment, it is determined that the raking and suction efficiency and raking and suction coverage of the cleaning robot can reach 90%.