Research on the problem of multi-beam line measurement based on the cattle plowing traversal algorithm
DOI:
https://doi.org/10.54097/wvx1t143Keywords:
Cattle plowing traversal algorithm, Full Coverage Path Planning, Trigonometric Function, Multi-beam Detection System, Simple Environment.Abstract
In order to study the depth and coverage width of sea water measured by the multi-beam detection system and the control of the overlap ratio range of the detection strip, the full coverage path optimization of the survey ship is carried out. In this paper, firstly, a model is established for the depth of the sea and the coverage width of the multi-beam detection system under the premise that the overlap rate is controlled within the range of 10%````~20% by using the property theorem of trigonometric function and geometric relation. Secondly, the Angle between the direction of the survey line and the projection of the normal direction of the submarine slope on the horizontal plane is analyzed, and the model for the depth of the sea area and the coverage width of the multi-beam detection system is further established under the constraint of the rolling attitude of the survey ship. Finally, the measured sea area is divided into molecular areas according to the overlap rate range and coverage width as standards, and then the coverage width and the number of survey lines are measured based on the cattle plowing traversal algorithm. The following results are obtained: When the survey ship starts and ends in the east-west direction and meets the requirement of 10%````~20% overlap rate, the number of survey lines is stable at 23, the total coverage width of the survey lines is 8.7852x108m, and the spacing of each survey line is 340.50m.
Downloads
References
Zou Yejie, Li Dajun. Automatic full coverage survey of shallow sea underwater terrain based on multi-beam sounding system of unmanned craft [J]. Jiangxi Surveying and Mapping,2023,No.136(02):8-11+36.
Feng Chengkai. Research on Multi-beam backscattering measurement and mass enhancement method in shallow water [D]. Shandong University of Science and Technology,2021.
Ma Zhenghai, Lin Dang, Li Shengxuan, Luo Wensheng. Underwater terrain mapping of Jingjiangmen Reach based on multi-beam system [J]. Journal of Water Resources and Hydropower Letters,2022,43(12):36-40.
Lv Houyong. Research on Full coverage path Planning Method of Indoor Robot [D]. Xianyang: Northwest A&F University,2016.
Kennedy J,Eberhart R C.Particle swarms optimization[C]//Proceedings of IEEE International Conference on Neural Networks, USA, 1995: 1942-1948.
Qian Jinwei, Dai Xiaoqiang, GAO Hongbo et al. Bioexcitation ergodic path Planning Algorithm based on inner spiral Search [J]. Computer Simulation, 2019,38(09):339-343+394. (in Chinese)
Wu Jingyu, Zhu Shiqiang, Song Wei et al. Full coverage path Planning based on improved Unit Decomposition Method [J/OL]. Systems Engineering and Electronics :1-12[2023-10-05].
Dong Yawen, Yang Jingwen, Liu Wenhui et al. Path Planning of Robot Subarea Coverage based on BSO-GA Algorithm [J]. Light Industry Machinery,2021,39(06):57-64.
Qi Lizhe, Huazhong Wei, Su Hao, WANG Xinrui, SUN Yunquan. Online full coverage path planning method for robot for desert Complex Terrain [J]. Control and Decision :1-9[2023-10-05]:1-9.
Deng Hong, Sun Xu. Full Coverage Path Planning of Intelligent Robot Based on Fish Swarm Algorithm [J]. Computer Measurement and Control,2023,31(07):222-227+297.
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.