水产池塘污水清扫机器人耙吸避障方法研究

Xu Rongjing, L. Bin, Li Na, Feng Yangshu, Chen Fangdong
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引用次数: 0

摘要

水产养殖池塘底污水耙吸避障机器人是一种以耙吸技术和路径规划为技术手段,构建多粒子混合识别系统,实现水产养殖池塘有效清扫的污水清扫装置。团队以大菱鲆养殖和育苗为研究对象,对去污机器人进行了模拟试验。实验发现,GBNN算法在障碍物环境下的路径规划能够达到高效的去污效果,且总能耗和距离较小,证明机器人可以利用cbnn模型在静态障碍物环境下进行自适应巡航。同时,对机器人的耙吸性能进行了测试,并通过正交实验的极差分析方法,确定清扫机器人的耙吸效率和耙吸覆盖率可以达到90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Methods of Rake Suction and Obstacle Avoidance of Sewage Cleaning Robot for Aquaculture Pond
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%.
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