Water inrush sources monitoring and identification based on mine IoT

摘要

Internet of things (IoT) is applied to water inrush source monitoring network for overcomingcomplexity and uncertainty of coal mines in monitoring. This study starts from the idea of sensorymines and the architecture of IoT, and describes key techniques in IoT-based mine waterinrush source sensing. In the sensing layer, networked and intelligent sensors are employed forconstructing the distributedmonitoring system; in the network service layer, data mining,3Dgeosciencesimulation system and cloud computing are combined for establishing the cloud serviceplatform so as to comprehensively analyze water inrush sources; in the application layer, a novelmaximum/minimum-margin-based hierarchical-SVM model for the identification ofwater-inrushsources is proposed.Test resultsdemonstrate that,owingtotheapplicationofmine IoT,both informationcollection efficiency and processing capability of water-inrush source monitoring can beeffectively enhanced, and the established water source identification system exhibits low falsealarm rate and mis-detection ratio, thereby significantly improving the prediction reliability.