CHEN Xiaojing. Construction of intelligent prevention and control of coal mine fire based on “cloud-edge-end” cooperation[J]. Coal Science and Technology，2022，50（12）：136−143
. DOI: 10.13199/j.cnki.cst.2021-0488| Citation: |
CHEN Xiaojing. Construction of intelligent prevention and control of coal mine fire based on “cloud-edge-end” cooperation[J]. Coal Science and Technology，2022，50（12）：136−143 . DOI: 10.13199/j.cnki.cst.2021-0488
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In view of the problems such as incomplete data collection and implementation layer, non embodiment of edge computing function, and unclear construction standards of integrated prevention and control platform during the construction of intelligent mine fire prevention and control subsystem, an architecture model based on “cloud-edge-end” collaboration was proposed in comparison with relevant provisions of national and local coal mine intelligent construction standards for fire prevention and control. Fire data sensing devices such as optical fiber temperature measurement, MEMS temperature sensors and inspection robot, as well as fire execution control devices such as grouting, nitrogen injection, automatic sprinkler and roadway rapid closure device were added to form the data sensing and execution control layer, which is responsible for sensing fire data information and executing control commands issued by cloud computing center or edge side; Edge computing devices were added to form the edge computing layer to realize the linkage control of on-site fire prevention and extinguishing devices; with the “Intelligent Mine Basic Information Platform” as the middle platform base, intelligent mine fire prevention and control business application was established to form a platform prevention and control layer, expert knowledge base was integrated, and professional analysis on key indicators of fire prevention and control were conducted. A comprehensive prevention and control system for intelligent analysis at the cloud platform layer, nearby analysis and control at the edge layer, and data collection and execution at the perception and execution layer were formed. The opposition and unity relationship among the three layers of “cloud-edge-end” fire prevention and control system were dialectically analyzed. Key devices and technologies such as wireless low-power fire sensor, patrol robot, monitoring point deployment optimization in fire hazard area, edge side supporting physical devices, edge side fire early warning algorithm, decision edge calculation algorithm, edge node deployment strategy, comprehensive prevention and control platform, fire data governance, fire early warning and decision model were discussed.
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