Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation

Unmanned driving technology has always been one focus of mine smart transportation, which is a crucial component of smart mines. However, the descriptions of both the intelligent transportation system and its industrial application are not comprehensive. In order to have an all-encompassing and comp...

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Main Authors: Maosen Wang, Jiusheng Bao, Xiaoming Yuan, Yan Yin, Shah Khalid
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/23/9133
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author Maosen Wang
Jiusheng Bao
Xiaoming Yuan
Yan Yin
Shah Khalid
author_facet Maosen Wang
Jiusheng Bao
Xiaoming Yuan
Yan Yin
Shah Khalid
author_sort Maosen Wang
collection DOAJ
description Unmanned driving technology has always been one focus of mine smart transportation, which is a crucial component of smart mines. However, the descriptions of both the intelligent transportation system and its industrial application are not comprehensive. In order to have an all-encompassing and comprehensive understanding of both the intelligent coal mine transportation system and its industrial application with the intelligent system, this paper summarizes and analyzes the current research status of unmanned driving technology in mines and the industrial application of current mining transportation vehicles. It begins by outlining the current research state of unmanned driving technology in mines and then assesses the advancement of unmanned driving technology. The unmanned transportation system in mines is also introduced, together with its components for perception, location, path planning, vehicle control, and multi-vehicle scheduling. In addition, each component is described in combination with the current artificial intelligent unmanned technology individually. Then, some typical categories of intelligent industrial vehicles are introduced for learning about the conditions of their actual application. There are almost four hundred coal mines that have researched unmanned driving technology, and some companies have applied the unmanned technology to realize transportation with an efficiency enhancement of 70~80%. Finally, currently existing challenges and future research are analyzed and proposed. This review may provide more comprehensive knowledge of the intelligent coal mine, accelerating the development of intelligent technology and helping to build a new management and control model.
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spelling doaj.art-7861afdb3cf4472ea76d07a43f29f25b2023-11-24T10:55:53ZengMDPI AGEnergies1996-10732022-12-011523913310.3390/en15239133Research Status and Development Trend of Unmanned Driving Technology in Coal Mine TransportationMaosen Wang0Jiusheng Bao1Xiaoming Yuan2Yan Yin3Shah Khalid4School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaUnmanned driving technology has always been one focus of mine smart transportation, which is a crucial component of smart mines. However, the descriptions of both the intelligent transportation system and its industrial application are not comprehensive. In order to have an all-encompassing and comprehensive understanding of both the intelligent coal mine transportation system and its industrial application with the intelligent system, this paper summarizes and analyzes the current research status of unmanned driving technology in mines and the industrial application of current mining transportation vehicles. It begins by outlining the current research state of unmanned driving technology in mines and then assesses the advancement of unmanned driving technology. The unmanned transportation system in mines is also introduced, together with its components for perception, location, path planning, vehicle control, and multi-vehicle scheduling. In addition, each component is described in combination with the current artificial intelligent unmanned technology individually. Then, some typical categories of intelligent industrial vehicles are introduced for learning about the conditions of their actual application. There are almost four hundred coal mines that have researched unmanned driving technology, and some companies have applied the unmanned technology to realize transportation with an efficiency enhancement of 70~80%. Finally, currently existing challenges and future research are analyzed and proposed. This review may provide more comprehensive knowledge of the intelligent coal mine, accelerating the development of intelligent technology and helping to build a new management and control model.https://www.mdpi.com/1996-1073/15/23/9133mine unmanned drivingperceptionpositioningpath planningvehicle controlmulti-vehicle scheduling
spellingShingle Maosen Wang
Jiusheng Bao
Xiaoming Yuan
Yan Yin
Shah Khalid
Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
Energies
mine unmanned driving
perception
positioning
path planning
vehicle control
multi-vehicle scheduling
title Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
title_full Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
title_fullStr Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
title_full_unstemmed Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
title_short Research Status and Development Trend of Unmanned Driving Technology in Coal Mine Transportation
title_sort research status and development trend of unmanned driving technology in coal mine transportation
topic mine unmanned driving
perception
positioning
path planning
vehicle control
multi-vehicle scheduling
url https://www.mdpi.com/1996-1073/15/23/9133
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AT xiaomingyuan researchstatusanddevelopmenttrendofunmanneddrivingtechnologyincoalminetransportation
AT yanyin researchstatusanddevelopmenttrendofunmanneddrivingtechnologyincoalminetransportation
AT shahkhalid researchstatusanddevelopmenttrendofunmanneddrivingtechnologyincoalminetransportation