摘要
针对传统渔业养殖中渔场巡查和水质监测中大量人力物力损耗的问题,设计可实现自动化养殖的仿生鱼系统。集成循迹避障模块、定位模块和实时图像采集模块,搭载蚁群优化算法实现最优路径规划的水面航行和水面监测功能;集成水质监测传感器模块,搭载主成分分析算法实现实时水质评价;集成压水舱采样模块实现远程水体采样。仿真结果表明,该系统具备良好的路径规划和水质评价性能,可有效推动自动化养殖的实现。
Aiming at the problem of a large number of manpower and material resources loss in the traditional fishery inspection and water quality monitoring,a bionic fish system which realized automatic breeding was built.The tracking obstacle avoidance module,positioning module and real-time image acquisition module were equipped in the system,and the ant colony optimization algorithm was added to realize the water surface navigation and monitoring functions of optimal path planning.The water quality monitoring sensor module was equipped and the principal component analysis algorithm was added to realize real-time water qua-lity evaluation.The sampling module of pressurized water tank was equipped to realize water sampling.The simulation results show that the system has good performance of path planning and water quality evaluation,and can effectively promote the realization of automatic aquaculture.
作者
周梦园
吴君钦
夏乐
黄敏
ZHOU Meng-yuan;WU Jun-qin;XIA Le;HUANG Min(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处
《计算机工程与设计》
北大核心
2022年第5期1467-1476,共10页
Computer Engineering and Design
基金
国家自然科学基金项目(61741109)。
关键词
仿生鱼
蚁群优化算法
路径规划
主成分分析法
水质评价
bionic fish
ant colony optimization algorithm
path optimization
principal component analysis
water quality evaluation
