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Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system

Deep-sea manganese nodules are abundant in the ocean, with high exploitation potential and commercial value, and have become mineral resources that coastal countries compete to develop. The pipeline-lifting mining system is the most promising deep-sea mining system at present. A deep-sea mining vehi...

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Autores principales: Xie, Yingchun, Liu, Chaoqun, Chen, Xuguang, Liu, Guijie, Leng, Dingxin, Pan, Wei, Shao, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416096/
https://www.ncbi.nlm.nih.gov/pubmed/37575369
http://dx.doi.org/10.3389/frobt.2023.1224115
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author Xie, Yingchun
Liu, Chaoqun
Chen, Xuguang
Liu, Guijie
Leng, Dingxin
Pan, Wei
Shao, Shuai
author_facet Xie, Yingchun
Liu, Chaoqun
Chen, Xuguang
Liu, Guijie
Leng, Dingxin
Pan, Wei
Shao, Shuai
author_sort Xie, Yingchun
collection PubMed
description Deep-sea manganese nodules are abundant in the ocean, with high exploitation potential and commercial value, and have become mineral resources that coastal countries compete to develop. The pipeline-lifting mining system is the most promising deep-sea mining system at present. A deep-sea mining vehicle is the core equipment of this system. Mining quality and efficiency rely on mining vehicles to a great extent. According to the topographic and geomorphic environmental characteristics of deep-sea manganese nodules at the bottom of the ocean, a new deep-sea mining system based on an autonomous manganese nodule mining vehicle is proposed in this paper. According to the operating environment and functional requirements of the seabed, a new mining method is proposed, and the global traverse path planning research of the autonomous manganese nodule mining vehicle based on this mining method is carried out. The arc round-trip acquisition path planning method is put forward, and the simulation verification shows that the method effectively solves the problems of low efficiency of mining vehicle traversing acquisition and obstacle avoidance.
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spelling pubmed-104160962023-08-12 Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system Xie, Yingchun Liu, Chaoqun Chen, Xuguang Liu, Guijie Leng, Dingxin Pan, Wei Shao, Shuai Front Robot AI Robotics and AI Deep-sea manganese nodules are abundant in the ocean, with high exploitation potential and commercial value, and have become mineral resources that coastal countries compete to develop. The pipeline-lifting mining system is the most promising deep-sea mining system at present. A deep-sea mining vehicle is the core equipment of this system. Mining quality and efficiency rely on mining vehicles to a great extent. According to the topographic and geomorphic environmental characteristics of deep-sea manganese nodules at the bottom of the ocean, a new deep-sea mining system based on an autonomous manganese nodule mining vehicle is proposed in this paper. According to the operating environment and functional requirements of the seabed, a new mining method is proposed, and the global traverse path planning research of the autonomous manganese nodule mining vehicle based on this mining method is carried out. The arc round-trip acquisition path planning method is put forward, and the simulation verification shows that the method effectively solves the problems of low efficiency of mining vehicle traversing acquisition and obstacle avoidance. Frontiers Media S.A. 2023-07-27 /pmc/articles/PMC10416096/ /pubmed/37575369 http://dx.doi.org/10.3389/frobt.2023.1224115 Text en Copyright © 2023 Xie, Liu, Chen, Liu, Leng, Pan and Shao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Xie, Yingchun
Liu, Chaoqun
Chen, Xuguang
Liu, Guijie
Leng, Dingxin
Pan, Wei
Shao, Shuai
Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title_full Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title_fullStr Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title_full_unstemmed Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title_short Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
title_sort research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416096/
https://www.ncbi.nlm.nih.gov/pubmed/37575369
http://dx.doi.org/10.3389/frobt.2023.1224115
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