Research On Optimization Strategies Of Coal Mine Rail Transport Ore Cart Dispatch

The scheduling of rail transportation mine trucks depends on the planning and management of its transportation process and execution strategy.It’s the central component of the underground production transportation system.Its complicated transportation structure and heavy loading and unloading process make the transportation tasks of the mine trucks insensitive to time management,and more focused on maximizing the role of limited transportation resources by formulating scheduling strategies.The research of its scheduling strategy involves multiple levels such as mine car positioning,route planning and resource allocation.For this,this paper discusses the problem based on a large number of literature studies and based on the actual application background of coal mine projects.By establishing and solving the scheduling optimization model,a practical and feasible rail car scheduling strategy is formulated to provide a reference for the scheduling management of the enterprise.Therefore,this article focuses on the following aspects:First,the positioning strategy of the minecart is discussed.After analyzing the influence of the non-line-of-sight environment and multipath propagation in the underground tunnel on the ranging channel model,a positioning strategy combining passive UHF RFID technology with vehicle-mounted communication equipment was developed.A two-step positioning algorithm is proposed for this strategy.First,based on the ranging principle of the received signal strength(RSSI)indication method,adaptive weights are introduced and improved for the least squares positioning algorithm that is suitable for multi-label models.Furthermore,the preliminary results of the positioning are processed by Kalman filtering in order to optimize the tracking state of the running track of the minecart.The simulation results of the algorithm show that this strategy can control the positioning error of the mine car within 1m,which can meet the needs of the scheduling system.Secondly,the optimization model of rail transportation mine car scheduling was established.The structural characteristics of the coal mine transportation system where the project is located are described in detail,and the appropriate rail mine car scheduling strategy is determined,and the actual requirements of the mine car carrying capacity,mine car occupancy and other actual conditions are used as constraints,and the scheduling strategy is used as the mine car traversal.The sequence planning problem of each task point constructs a scheduling optimization model aiming at the minimum transportation cost.Furthermore,the particle swarm optimization algorithm was improved to solve the optimization model.Aiming at the problem that particle swarm optimization is easy to fall into local optimum due to too fast convergence,an improved way to balance its search ability with dynamic weights and improve its optimal solution quality with multisubpopulations is proposed,and its application to railcar scheduling is described Codec method.The simulation solution of the example verifies the superiority of the improved algorithm and the practical feasibility of the mine car scheduling strategy.Finally,the problem of resource scheduling and repeated calling of locomotives in multiple yards is expanded.This paper analyzes the current situation of uneven distribution of time and space between mine cars and unmanaged flows,and the problem of excessive use of locomotives leading to high start-up costs.Combined with the mine car scheduling optimization model,a multi-objective optimization model for repeated calls of locomotives was established,and the original coding method was extended to be suitable for scheduling of multiple parking lots.At the same time,the article expounds the hardware and software design of the railcar scheduling system.