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JIN Dewu, QIAO Wei, LI Peng, FAN Juan. Research status and prospects on intelligent technology and equipment formine water hazard prevention and control[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (3).
Citation: JIN Dewu, QIAO Wei, LI Peng, FAN Juan. Research status and prospects on intelligent technology and equipment formine water hazard prevention and control[J]. COAL SCIENCE AND TECHNOLOGY, 2019, (3).

Research status and prospects on intelligent technology and equipment formine water hazard prevention and control

  • In order to solve mine water filling problems including accurate detection,effective prediction,dynamic monitoring and reliable management of water hazard,artificial intelligence and information technology have been widely applied in coal mine water controlling technology and equipment in China and great progress has been made.Based on the three elements of artificial intelligence technology,namely intelligent perception,intelligent judgment and intelligent execution,this paper defines the intelligent control of coal mine water as the process of effective screening,automatic identification and precise control of water hazard factors.Then the current intelligent coal mine water control technology is summarized from the following five aspects:detection equipment of intelligent chips and intelligent data processing algorithms,information fusion method of water-rich aquifer partition and statistical learning-based approaches of coal floor water inrush prediction,mine water situation real-time monitoring and warning system based on intelligent sensor and arithmetic,informationalized design and intelligent control grouting system of water hazard control engineering,searching for the optimal path for emergency avoidance and rapid identification of water inrush sources.The results show that the intelligentalization of water hazard detection equipment and interpretation methods have greatly improved the equipment anti-interference abilities and the calculation of parameters detected has been acceler-ated.The application of statistical learning methods in coal seam floor water inrush prediction improves the water inrush prediction accuracy from 82% to 91%.In Wugou Coal Mine,the network parallel electrical monitoring instrument successfully predicted the water inrush from working face floor two days in advance.In addition,the intelligent grouting system has formed a highly customized digital pulping-grouting solution scheme and realized automatic pulping 30 m3/h.Disaster prevention and rescue intelligentalization provides an auxiliary decision-making support platform for reasonable evacuation and emergency rescue of underground personnel under the mine disaster scenario.With the development of intelligent coal mine and transparent coal mine technologies,multi-source spatial-temporal intelligent monitoring,glass hydro-geology,big data mining for groundwater hazard situation monitoring,and underground rescue robots will become hotspsrt research fields in the future,and an intelligent technology system of coal mine water control will finally come into shape.
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