Development Status and Trend of Mine Intelligent Mining Technology
Tallennettuna:
| Julkaisussa: | Mathematics vol. 13, no. 13 (2025), p. 2217-2243 |
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| Päätekijä: | |
| Muut tekijät: | , , , |
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MDPI AG
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| Linkit: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 100 | 1 | |a Wang, Zhuo |u School of Resources and Safety Engineering, Central South University, Changsha 410083, China; wangzhuo34@csu.edu.cn (Z.W.); 245501017@csu.edu.cn (J.L.); wuzhaohao@csu.edu.cn (Z.W.); 225501023@csu.edu.cn (Z.Z.) | |
| 245 | 1 | |a Development Status and Trend of Mine Intelligent Mining Technology | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Intelligent mining technology, as the core driving force for the digital transformation of the mining industry, integrates cyber-physical systems, artificial intelligence, and industrial internet technologies to establish a “cloud–edge–end” collaborative system. In this paper, the development trajectory of intelligent mining technology has been systematically reviewed, which has gone through four stages: stand-alone automation, integrated automation and informatization, digital and intelligent initial, and comprehensive intelligence. And the current development status of “cloud–edge–end” technologies has been reviewed: (i) The end layer achieves environmental state monitoring and precise control through a multi-source sensing network and intelligent equipment. (ii) The edge layer leverages 5G and edge computing to accomplish real-time data processing, 3D dynamic modeling, and safety early warning. (iii) The cloud layer realizes digital planning and intelligent decision-making, based on the industrial Internet platform. The three-layer collaboration forms a “perception–analysis–decision–execution” closed loop. Currently, there are still many challenges in the development of the technology, including the lack of a standardization system, the bottleneck of multi-source heterogeneous data fusion, the lack of a cross-process coordination of the equipment, and the shortage of interdisciplinary talents. Accordingly, this paper focuses on future development trends from four aspects, providing systematic solutions for a safe, efficient, and sustainable mining operation. Technological evolution will accelerate the formation of an intelligent ecosystem characterized by “standard-driven, data-empowered, equipment-autonomous, and human–machine collaboration”. | |
| 651 | 4 | |a China | |
| 653 | |a Mines | ||
| 653 | |a Coal mining | ||
| 653 | |a Data processing | ||
| 653 | |a Collaboration | ||
| 653 | |a Edge computing | ||
| 653 | |a Closed loops | ||
| 653 | |a Data integration | ||
| 653 | |a Automation | ||
| 653 | |a Dynamic models | ||
| 653 | |a Monitoring systems | ||
| 653 | |a Technology | ||
| 653 | |a Geology | ||
| 653 | |a Big Data | ||
| 653 | |a Cyber-physical systems | ||
| 653 | |a Internet | ||
| 653 | |a Mining industry | ||
| 653 | |a Decision making | ||
| 653 | |a Standardization | ||
| 653 | |a Data collection | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Real time | ||
| 653 | |a Hydraulics | ||
| 653 | |a Knowledge representation | ||
| 700 | 1 | |a Bi, Lin |u School of Resources and Safety Engineering, Central South University, Changsha 410083, China; wangzhuo34@csu.edu.cn (Z.W.); 245501017@csu.edu.cn (J.L.); wuzhaohao@csu.edu.cn (Z.W.); 225501023@csu.edu.cn (Z.Z.) | |
| 700 | 1 | |a Li, Jinbo |u School of Resources and Safety Engineering, Central South University, Changsha 410083, China; wangzhuo34@csu.edu.cn (Z.W.); 245501017@csu.edu.cn (J.L.); wuzhaohao@csu.edu.cn (Z.W.); 225501023@csu.edu.cn (Z.Z.) | |
| 700 | 1 | |a Wu Zhaohao |u School of Resources and Safety Engineering, Central South University, Changsha 410083, China; wangzhuo34@csu.edu.cn (Z.W.); 245501017@csu.edu.cn (J.L.); wuzhaohao@csu.edu.cn (Z.W.); 225501023@csu.edu.cn (Z.Z.) | |
| 700 | 1 | |a Zhao Ziyu |u School of Resources and Safety Engineering, Central South University, Changsha 410083, China; wangzhuo34@csu.edu.cn (Z.W.); 245501017@csu.edu.cn (J.L.); wuzhaohao@csu.edu.cn (Z.W.); 225501023@csu.edu.cn (Z.Z.) | |
| 773 | 0 | |t Mathematics |g vol. 13, no. 13 (2025), p. 2217-2243 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3229152609/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
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