Mine drainage optimization scheduling based on genetic algorithm

The mine water produced in the process of coal mining is an important water resource in the mining area. If it is not treated and discharged directly, it will not only cause the waste of water resources but also lead to serious environmental pollution. Aiming at the problems of complex operation, low reuse efficiency, high cost, insufficient data collection and analysis in the current mine water reuse system, this paper proposes a mine water treatment system based on Internet of Things architecture, and uses genetic algorithm to process and optimize mine water data. In order to improve the reuse efficiency of mine water, this paper establishes a reuse model aiming at the minimum reuse time and cost, and uses genetic algorithm to calculate a reasonable scheduling scheme. This paper takes the water quality and quantity of Nalinhe No.2 mine as the research objective and analyzes and compares the reuse situation under different dispatching schemes. The research results show that the mine water reuse cost is reduced by 6.13% under the optimization of genetic algorithm, and the mine water reuse efficiency is increased by 2.99%, which verifies the effectiveness of the optimization scheme.