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    Li Weixin, Yuan Shichong, Xia Ronghui, Liu Dajin, Hu Ticai, Feng Jianliang. Development and Application of an Automated Monitoring and Early Warning Platform for Hydrogeology, Engineering Geology and Environmental Geology in Metal MinesJ. Site Investigation Science and Technology, 2025(5): 39-45, 59.
    Citation: Li Weixin, Yuan Shichong, Xia Ronghui, Liu Dajin, Hu Ticai, Feng Jianliang. Development and Application of an Automated Monitoring and Early Warning Platform for Hydrogeology, Engineering Geology and Environmental Geology in Metal MinesJ. Site Investigation Science and Technology, 2025(5): 39-45, 59.

    Development and Application of an Automated Monitoring and Early Warning Platform for Hydrogeology, Engineering Geology and Environmental Geology in Metal Mines

    • In order to implement the national policy opinions on strengthening the comprehensive monitoring and early warning of mine disaster chain, a monitoring and early warning platform based on automatic information collection of hydrogeology, engineering geology and environmental geology and big data analysis is proposed in view of the common problems of heavy collection and light analysis in mine information construction. Combined with the historical data of metal mine and the real-time data collected by the geological information sensor of hydrogeology, engineeing geology and enviromental geology, the geological information database of mine for hydrogeology, engineering geology and environmental geology is constructed. Using multi-source heterogeneous data analysis and processing, 3D geological model visualization and interaction, and multi-factor linkage suitability zoning technology, the mining hydraulic engineeing and environment geological information monitoring and early warning platform is developed to realize real-time monitoring data display and model inference, delimit mining suitability zoning, and conduct geological disaster early warning and prediction. The practical application in a metal mine in Yunnan Province shows that the platform is stable and reliable, and can effectively improve the monitoring and early warning ability of mine hydraulic, engineering and environmental geology disasters.
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