Water Resources and Power

In order to improve the efficiency of water intake in coal mines, a intelligent water management system for coal mine water intake has been established. The system uses an MLP neural network model to deeply learn the water consumption indicators of different coal mine water consumption stages, and compares them with relevant water consumption quotas to determine a reasonable water consumption range suitable for the application of the system in various coal mine stages. Through real-time calculation and analysis of water use data, timely prediction and warning of unreasonable water use links are carried out. The system is applied to a coal mine in Ordos City. The results show that the annual water intake decreased from 1.177 5 million m³ to 868 700 m³, with a water saving rate of 26.23%, and the water saving effect is obvious. This system can provide reference for the construction of the follow-up intelligent water affairs system of coal mines.