Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters
Constructing an intelligent and precise disaster management system for coal mines helps improve the accuracy of accident prediction and early warning, enabling intelligent risk assessment. Existing research mainly focuses on monitoring and early warning technologies or algorithm optimization for ind...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2025-03-01
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| Series: | Gong-kuang zidonghua |
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| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110084 |
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| author | LIU Yubing LI Yiteng LI Zhonghui YIN Shan JING Chao LI Kai LI Zhenxing ZHAO Shenglei LIU Chengfei |
| author_facet | LIU Yubing LI Yiteng LI Zhonghui YIN Shan JING Chao LI Kai LI Zhenxing ZHAO Shenglei LIU Chengfei |
| author_sort | LIU Yubing |
| collection | DOAJ |
| description | Constructing an intelligent and precise disaster management system for coal mines helps improve the accuracy of accident prediction and early warning, enabling intelligent risk assessment. Existing research mainly focuses on monitoring and early warning technologies or algorithm optimization for individual disasters, lacking a coordinated mechanism for multi-disaster monitoring and early warning, as well as disaster avoidance path planning under emergency response. Additionally, data transmission latency is high, and management efficiency remains low. An integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters was proposed in this study. The system architecture and the data flow and interaction mechanism for monitoring and early warning were introduced. Key technologies were analyzed from three perspectives: precise data perception, edge computing, and cloud platform. On the end side, intelligent sensors for multiple disasters, including gas, fire, dust, and roof hazards, were developed. A high-speed, low-latency communication network based on IPv6 and a 5G+4G+WiFi6 framework was established, and the deployment of sensing devices and linked control equipment was optimized. On the edge side, a coal mine major disaster data fusion analysis model based on the deep learning AdaTT model was developed. AI-powered video analysis devices for mining applications were designed to enable image-based hazard identification. Additionally, a coalface collaborative management and control technology driven by edge computing was developed. On the cloud side, digital twin technology was applied for visual simulation, while coal mine major disaster safety situation analysis was conducted using Delphi theory and deep learning models. Furthermore, a time-varying network path planning algorithm was designed for disaster environments. Based on the technical system, a coal mine disaster fusion monitoring and intelligent decision-making platform was developed and successfully applied at the No.12 Mine, Pingdingshan Tian'an Coal Mining Co., Ltd. The platform significantly improves the efficiency of multi-disaster risk analysis decision-making and the level of intelligent management and control. |
| format | Article |
| id | doaj-art-cbc9ffbaf0124fb7b9870f7af91ee702 |
| institution | OA Journals |
| issn | 1671-251X |
| language | zho |
| publishDate | 2025-03-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj-art-cbc9ffbaf0124fb7b9870f7af91ee7022025-08-20T02:29:24ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2025-03-01513105112, 16410.13272/j.issn.1671-251x.2024110084Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disastersLIU Yubing0LI Yiteng1LI Zhonghui2YIN Shan3JING Chao4LI Kai5LI Zhenxing6ZHAO Shenglei7LIU Chengfei8School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaBeijing Longruan Technologies Co., Ltd., Beijing 100080, ChinaXiayukou Coal Mine, Shaanxi Shanmei Hancheng Mining Co., Ltd., Hancheng 715405, ChinaNo.12 Mine, Pingdingshan Tian'an Coal Mining Co., Ltd., Pingdingshan 467013, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaConstructing an intelligent and precise disaster management system for coal mines helps improve the accuracy of accident prediction and early warning, enabling intelligent risk assessment. Existing research mainly focuses on monitoring and early warning technologies or algorithm optimization for individual disasters, lacking a coordinated mechanism for multi-disaster monitoring and early warning, as well as disaster avoidance path planning under emergency response. Additionally, data transmission latency is high, and management efficiency remains low. An integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters was proposed in this study. The system architecture and the data flow and interaction mechanism for monitoring and early warning were introduced. Key technologies were analyzed from three perspectives: precise data perception, edge computing, and cloud platform. On the end side, intelligent sensors for multiple disasters, including gas, fire, dust, and roof hazards, were developed. A high-speed, low-latency communication network based on IPv6 and a 5G+4G+WiFi6 framework was established, and the deployment of sensing devices and linked control equipment was optimized. On the edge side, a coal mine major disaster data fusion analysis model based on the deep learning AdaTT model was developed. AI-powered video analysis devices for mining applications were designed to enable image-based hazard identification. Additionally, a coalface collaborative management and control technology driven by edge computing was developed. On the cloud side, digital twin technology was applied for visual simulation, while coal mine major disaster safety situation analysis was conducted using Delphi theory and deep learning models. Furthermore, a time-varying network path planning algorithm was designed for disaster environments. Based on the technical system, a coal mine disaster fusion monitoring and intelligent decision-making platform was developed and successfully applied at the No.12 Mine, Pingdingshan Tian'an Coal Mining Co., Ltd. The platform significantly improves the efficiency of multi-disaster risk analysis decision-making and the level of intelligent management and control.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110084coal mine disastergas disastermine firedust disasterroof disastermulti-disaster management and controlcloud-edge-end collaboration |
| spellingShingle | LIU Yubing LI Yiteng LI Zhonghui YIN Shan JING Chao LI Kai LI Zhenxing ZHAO Shenglei LIU Chengfei Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters Gong-kuang zidonghua coal mine disaster gas disaster mine fire dust disaster roof disaster multi-disaster management and control cloud-edge-end collaboration |
| title | Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters |
| title_full | Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters |
| title_fullStr | Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters |
| title_full_unstemmed | Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters |
| title_short | Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters |
| title_sort | research on the integrated cloud edge end intelligent and precise management and control technology system for coal mine disasters |
| topic | coal mine disaster gas disaster mine fire dust disaster roof disaster multi-disaster management and control cloud-edge-end collaboration |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024110084 |
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