Multi-Objective Optimization of a Mine Water Reuse System Based on Improved Particle Swarm Optimization

Area of Science:

• Environmental Engineering
• Water Resource Management
• Optimization Algorithms

Background:

• Coal mine water often has low reuse rates due to insufficient data analysis and inefficient management.
• Traditional water dispatching methods struggle to optimize both water reuse and system operation.

Purpose of the Study:

• To develop a hierarchical dispatching strategy for mine water to increase reuse rates and system efficiency.
• To address limitations in data analysis and optimization algorithms for mine water management.

Main Methods:

• Established a multi-objective optimization scheduling mathematical model for mine water supply systems.
• Improved particle swarm optimization to avoid premature convergence and local optima.
• Utilized water quality and quantity data from Narim River No. 2 mine for simulations.

Main Results:

• The improved particle swarm optimization algorithm demonstrated superior performance in simulations.
• The proposed hierarchical dispatching strategy significantly increased mine water reuse rates.
• System operating efficiency was substantially improved compared to traditional methods.

Conclusions:

• The hierarchical dispatching strategy is effective for optimizing mine water reuse and operational efficiency.
• The enhanced optimization algorithm provides a robust solution for complex water management problems.
• This approach offers a scalable solution for improving coal mine water resource utilization.