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QU Shijia, WU Fusheng, HE Yaoyi. Research on edge computing mode in coal mine safety monitoring and control system[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).
Citation: QU Shijia, WU Fusheng, HE Yaoyi. Research on edge computing mode in coal mine safety monitoring and control system[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(5).

Research on edge computing mode in coal mine safety monitoring and control system

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Key Technology Innovation Project of Tian Di Technology Co., Ltd. (2019-TD-ZD007)

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  • Available Online: April 02, 2023
  • Published Date: May 24, 2022
  • In view of the low degree of underground integration in the existing monitoring and control system of coal mines, the lack of on-site disaster analysis and linkage processing capabilities, and the inability to meet the needs of deep integration of monitoring and control, based on the requirements for the monitoring and control system in the aspect of safety guarantee in the construction of smart mines, the necessity to establish the depth of integration monitoring and control system was put forward. The applicability edge computing technology in the coal mine monitoring and control system was analyzed, and the establishment of a coal mine monitoring and control system based on cloud, edge and end was proposed, and the collection of “end” side sensing information and the first-level security analysis and early warning were added and the regional linkage function was realized. A mode of setting up two-level edge nodes in the coal mine monitoring and control system was proposed, analysis points out that the edge gateway is the edge computing node that is currently more concerned. Combined with the EdgeX Foundry platform architecture, the design of the hardware platform and software platform of the intelligent edge gateway design was put forward, and the overall architecture of the edge gateway of the coal mine safety monitoring system was designed.Taking the fire outside the coal mine face as an example, the different processes of fire information collection, analysis and early warning and disaster disposal under the existing monitoring and monitoring system and the monitoring and monitoring system based on edge computing were analyzed, and the original 9-step fire treatment process was optimized to a 4-step treatment process. The analysis shows that the monitoring and control system based on edge computing has certain advantages compared to the existing monitoring and control system in terms of deep integration of the system, regional safety integration analysis and disposal.
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