Research on key technologies of water inrush perception based on mine IoT

From the concept of mine perception and three-tier architecture of Internet of Things (IoT) were regarded as the start point, multidisciplinary intersection was used as the research approach which contains new subjects like networked measurement, smart sensor, geo-information science, data mining, etc. and traditional mining subjects like hydrogeology, mining science, geophysics, etc. Based on the analysis of technology status of mine water inrush information acquisition, transmission, analysis and early warning, key techniques of water inrush perception in mine IoT were discussed. In perception layer, using networked measurement and smart sensor as the key techniques, a distributed monitoring system should be built for acquiring multi-physics fields' information. In network layer, using spatial data warehouse, 3D geosciences modeling system and cloud computing, water inrush cloud service platform would be constructed to store, access and analyze multi-sources heterogeneous data in 3D. Based on that platform, experts from various domains could diagnose the inrush risk remotely which was called experts cloud. In application layer, taking multi-sources information fusion as the key technique, an early warning method using multi-models combination was proposed. Making full use of history and real-time data, that method combined static forecasting with real-time warning and increased the information content of warning decision-making. At last, three stages were proposed to realize the whole system.