Research on Optimal Scheduling Problem of Mine Water Based on Swarm Intelligence

Aiming at the problems of cumbersome scheduling operation, low recycling efficiency, and insufficient data collection and analysis of coal mine water reuse system, this paper proposes a mine water information processing framework based on edge computing and uses particle swarm optimization algorithm to process and optimize mine water data. In order to reduce the time of mine water information processing and improve the efficiency of mine water dispatching, this paper uses a particle swarm optimization algorithm to calculate a reasonable mine water dispatching scheme. In this paper, the water quality and water quantity data of Nalinhe No.2 mine are taken as the research object to analyze the reuse rate and reuse time under different scheduling schemes. The simulation results show that the optimal scheduling under the edge computing framework can increase the mine water reuse rate by 17.5% and reduce the reuse time by 117.51h/month, effectively improving the operating efficiency of the mine treatment system.