露天煤矿粉尘监测预警系统构建与应用研究OA

Dust pollution in open-pit coal mines has become a critical factor constraining mine safety production.As mining operations continue to evolve toward systematization,complexity,and green development,traditional dust monitoring methods face significant limitations such as high labor costs and delayed data feedback,making them increasingly inadequate for the current needs of large-scale open-pit mine.In order to develop precise dust warning technology for open-pit coal mines and solve the key problems that restrict mine safety production and ecological environment protection,the article analyzes the field monitoring data in Ha'erwusu Open-pit Coal Mine,builds a dust meteorological monitoring platform that integrates LoRa wireless transmission and GIS 3D visualization,realizes dynamic display of 10 parameters including PM2.5,PM10,Total Suspended Particulates(TSP)and so on,establishes a dust concentration forecasting model based on Long Short Term Memory(LSTM).The results show that the field-validated prediction accuracy exceeds 85%,meeting the engineering requirements for"timely early warning and precise prevention"of mine dust pollution.