Research on Scheduling Decision System of Coal Mine Roadway Repair Machine Based on Optimized Particle Swarm Optimization

Due to the optimized configuration, dynamic scheduling and management level of the machine group in the construction process of the coal mine roadway repair machine, the construction progress, engineering quality and economic benefits of the whole project were directly determined. In order to meet the needs of safe and efficient repair and treatment of the coal mine roadway floor heave, this paper put forward the optimization configuration principle of the roadway repair machine group construction, and a multi-objective optimal allocation model was established with the construction cost and the comprehensive utilization rate of the unit shift cost as the objective function. The optimal scheduling decision scheme was obtained by solving the configuration model with particle swarm optimization algorithm. Finally, two examples were given to verify the practicability of the model and the feasibility of the algorithm to solve the problem. The research results provided a theoretical basis for the scheduling decision-making of the roadway repair machine construction, at the same time, it provided the basis and method for improving the mechanized construction level of the machine group.