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Design and Application of Unmanned Driving System for Underground Electric Load-Haul-Dump Machines
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Zhao Li1, Yinghao Chai2, 3, Jianlong Dai2, 4
Mining Research and Development | 2026, 46(8) : 254 - 265
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Mining Research and Development | 2026, 46(8): 254-265
Design and Application of Unmanned Driving System for Underground Electric Load-Haul-Dump Machines
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Zhao Li1, Yinghao Chai2, 3, Jianlong Dai2, 4
Affiliations
  • 1.Anhui Development Mining Co., Ltd., Lu'an, Anhui 237400, China
  • 2.Hunan Chuangyuan High-Tech Machinery Co., Ltd., Changsha, Hunan 410205, China
  • 3.School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411100, China
  • 4.School of Automation, Central South University, Changsha, Hunan 410083, China
Published: 2026-08-25
Outline
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The rapid development of autonomous driving technology has continuously expanded its application scenarios, and unmanned driving in mines has become an important direction in intelligent mine construction. Aiming at the problems of complex underground working environments, high manual labor intensity, and prominent safety risks, an unmanned driving system for underground electric Load-Haul-Dump (LHD) machines was designed and implemented by integrating autonomous driving and remote control technologies. The system adopted an operation mode of "remote-controlled loading, autonomous driving for transportation and unloading", realizing the full-process unmanned operation of LHD machines in underground roadway environments. Field industrial test results show that the average lateral tracking error of the system during operation is controlled within 0.30 m, the positioning loss probability is approximately 0.11%, and the average communication latency is less than 5 ms. The system also possesses good safety assurance capabilities, with the access control system and anti-collision detection module effectively handling emergency situations. The research results verify the stability and practicability of the system in underground mine environments, which can effectively reduce miners'labor intensity and improve underground working conditions.

Electric Load-Haul-Dump (LHD) machine  /  Remote control  /  Unmanned driving system  /  Lateral tracking  /  Roadway boundary detection
黎钊, 柴颖豪, 代建龙. 井下电动铲运机无人驾驶系统设计与应用. 矿业研究与开发, 2026 , 46 (8) : 254 -265 .
Zhao Li, Yinghao Chai, Jianlong Dai. Design and Application of Unmanned Driving System for Underground Electric Load-Haul-Dump Machines[J]. Mining Research and Development, 2026 , 46 (8) : 254 -265 .
Year 2026 volume 46 Issue 8
31
8
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Article Info
  • Receive Date:2025-10-17
  • Online Date:2026-10-27
  • Published:2026-08-25
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History
  • Received:2025-10-17
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Affiliations
    1.Anhui Development Mining Co., Ltd., Lu'an, Anhui 237400, China
    2.Hunan Chuangyuan High-Tech Machinery Co., Ltd., Changsha, Hunan 410205, China
    3.School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411100, China
    4.School of Automation, Central South University, Changsha, Hunan 410083, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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