期刊
SENSORS
卷 22, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/s22030883
关键词
optimal allocation; economic reuse; GAPSO hybrid algorithm; two-stage optimization; adaptive adjustment
资金
- China National Key RD Program [2018YFC0406404-5]
- Hebei Provincial Natural Science Foundation Project [E2020402064]
- Hebei Innovation Capacity Enhancement Programme Project [215676140H]
This paper investigates the problem of coal mine wastewater treatment and reuse, and proposes a hybrid optimization algorithm. The experimental results show that the algorithm has achieved good performance in improving the scheduling of coal mine wastewater.
The waste mine water is produced in the process of coal mining, which is the main cause of mine flood and environmental pollution. Therefore, economic treatment and efficient reuse of mine water is one of the main research directions in the mining area at present. It is an urgent problem to use an intelligent algorithm to realize optimal allocation and economic reuse of mine water. In order to solve this problem, this paper first designs a reuse mathematical model according to the mine water treatment system, which includes the mine water reuse rate, the reuse cost at different stages and the operational efficiency of the whole mine water treatment system. Then, a hybrid optimization algorithm, GAPSO, was proposed by combining genetic algorithm (GA) and particle swarm optimization (PSO), and adaptive improvement (TSA-GAPSO) was carried out for the two optimization stages. Finally, simulation analysis and actual data detection of the mine water reuse model are carried out by using four algorithms, respectively. The results show that the hybrid improved algorithm has better convergence speed and precision in solving the mine water scheduling problem. TSA-GAPSO algorithm has the best effect and is superior to the other three algorithms. The cost of mine water reuse is reduced by 9.09%, and the treatment efficiency of the whole system is improved by 5.81%, which proves the practicability and superiority of the algorithm.
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