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Strategic Study of CAE >> 2023, Volume 25, Issue 5 doi: 10.15302/J-SSCAE-2023.05.013

Development of Intelligent Technologies and Machinery for Coal Mining in China’s Underground Coal Mines

1. China University of Mining and Technology-Beijing, Beijing 100083, China;

2. Key Laboratory of Intelligent Mining and Robotics, Ministry of Emergency Management, Beijing 100083, China;

3. School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China;

4. Coal Mining Research Institute Corp., China Coal Technology and Engineering Group, Beijing 100013, China;

5. Tiandi Science and Technology Co., Ltd., Beijing 100013, China;

6. Center of Shanxi Engineering Research for Coal Mine Intelligent Equipment, Taiyuan 030024, China;

7. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China

Funding project:Chinese Academy of Engineering project “High Quality Development Strategy of Coal Machinery Equipment Manufacturing in Shanxi” (2022-XY-42) Received: 2023-07-21 Revised: 2023-09-28 Available online: 2023-11-01

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Abstract

Coal machinery is crucial for the technological transformation of coal mining and the coal production system. Driven by the carbon peaking and carbon neutralization goals and the wave of intelligent coal mine construction, China’s coal machinery industry will transform and upgrade toward intelligence, green, safety, and efficiency. Opportunities and challenges coexist in the coal machinery market, and development of intelligent technologies and machinery for coal mining has become an urgent demand. This study is based on the development reality in China that intelligent coal mining is still in its early stage and sorts out the current status and trends of intelligent technologies and machinery for coal mining. Moreover, it analyzes the key technology system of intelligent coal machinery, covering intelligent coalmine equipment support, intelligent fully mechanized mining and caving, intelligent rapid excavation, intelligent perception and control of main/auxiliary transportation systems, and coalmine robot technologies. Moreover, development directions are proposed, including key basic materials and advanced processing techniques, flexible manufacturing and virtual simulation, equipment remanufacturing, deep fusion of 5G with industrial Internet, industrial big data and artificial intelligence, intelligent perception and interconnection by the Internet of Things, and cyber-physical and digital twin systems. Furthermore, we suggest to strengthen breakthroughs in intelligent technologies and machinery for coal mining, improve the talent support system, emphasize both plan guidance and industrial layout optimization, and establish an innovative ecosystem for coal machinery research and manufacture, thereby promoting the high-quality development of coal machinery.

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