Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area

As the explosion-proof safety level of a coal mine robot has not yet reached the level of intrinsic safety “ia” and it cannot work in a dangerous gas distribution area, therefore, path planning methods for coal mine robot to avoid the dangerous area of gas are necessary. In this paper, to avoid a se...

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Main Authors: Ruiqing Mao, Xiliang Ma
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2016/4212076
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author Ruiqing Mao
Xiliang Ma
author_facet Ruiqing Mao
Xiliang Ma
author_sort Ruiqing Mao
collection DOAJ
description As the explosion-proof safety level of a coal mine robot has not yet reached the level of intrinsic safety “ia” and it cannot work in a dangerous gas distribution area, therefore, path planning methods for coal mine robot to avoid the dangerous area of gas are necessary. In this paper, to avoid a secondary explosion when the coal mine robot passes through gas hazard zones, a path planning method is proposed with consideration of gas concentration distributions. First, with consideration of gas distribution area and obstacles, MAKLINK method is adopted to describe the working environment network diagram of the coal mine robot. Second, the initial working paths for the coal mine robot are obtained based on Dijkstra algorithm, and then the global optimal working path for the coal mine robot is obtained based on ant colony algorithm. Lastly, experiments are conducted in a roadway after an accident, and results by different path planning methods are compared, which verified the effectiveness of the proposed path planning method.
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language English
publishDate 2016-01-01
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series Journal of Robotics
spelling doaj-art-7ccb9e70d2664df18ac2639e2c961a3b2025-02-03T01:20:10ZengWileyJournal of Robotics1687-96001687-96192016-01-01201610.1155/2016/42120764212076Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution AreaRuiqing Mao0Xiliang Ma1Xuzhou Institute of Technology, Xuzhou, Jiangsu 221111, ChinaXuzhou Institute of Technology, Xuzhou, Jiangsu 221111, ChinaAs the explosion-proof safety level of a coal mine robot has not yet reached the level of intrinsic safety “ia” and it cannot work in a dangerous gas distribution area, therefore, path planning methods for coal mine robot to avoid the dangerous area of gas are necessary. In this paper, to avoid a secondary explosion when the coal mine robot passes through gas hazard zones, a path planning method is proposed with consideration of gas concentration distributions. First, with consideration of gas distribution area and obstacles, MAKLINK method is adopted to describe the working environment network diagram of the coal mine robot. Second, the initial working paths for the coal mine robot are obtained based on Dijkstra algorithm, and then the global optimal working path for the coal mine robot is obtained based on ant colony algorithm. Lastly, experiments are conducted in a roadway after an accident, and results by different path planning methods are compared, which verified the effectiveness of the proposed path planning method.http://dx.doi.org/10.1155/2016/4212076
spellingShingle Ruiqing Mao
Xiliang Ma
Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
Journal of Robotics
title Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
title_full Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
title_fullStr Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
title_full_unstemmed Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
title_short Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area
title_sort research on path planning method of coal mine robot to avoid obstacle in gas distribution area
url http://dx.doi.org/10.1155/2016/4212076
work_keys_str_mv AT ruiqingmao researchonpathplanningmethodofcoalminerobottoavoidobstacleingasdistributionarea
AT xiliangma researchonpathplanningmethodofcoalminerobottoavoidobstacleingasdistributionarea