综采设备搬家倒面计划编制研究

Research on fully mechanized mining equipment removal planning during sequencing working face

目前煤矿工作面综采设备搬家倒面计划主要依靠人工编制,工作量大,效率低,导致工期延长,且快速搬家倒面主要依赖高度机械化作业,少有对不同矿井之间或同一矿井不同工作面之间综采设备搬家倒面计划优化问题的研究。针对该问题,通过调研神东集团综采工作面近3 a开采情况,定义了工作面、设备、人员、时间等表征综采设备搬家倒面工作的关键参数,以最小化最大完工时间为目标函数,建立了综采设备搬家倒面计划编制数学模型;设计了求解该数学模型的遗传算法,采用考虑工作面、综采设备、施工队伍选择的三段编码方式,构建适应度函数,对表征工作面、综采设备、施工队伍的染色体进行选择、交叉、变异操作,并考虑最晚开采时间对染色体的合法性进行判断和调整,通过设置迭代次数终止算法搜索过程并输出结果;基于综采设备搬家倒面计划编制遗传算法,开发了基于B/S架构的综采设备搬家倒面计划管理系统,实现了综采工作面搬家倒面工作基础信息管理、综采设备搬家倒面计划编制等功能。实例表明:应用遗传算法可将神东集团2021年度11个综采工作面设备搬家倒面计划工期由103 d缩短至91 d,有效提高了综采设备搬家倒面计划编制效率及工程效率。

The current fully mechanized mining equipment removal plan during sequencing working face mainly depends on manual preparation.The large workload and low efficiency lead to the extension of the construction period.The quick removal mainly depends on a high degree of mechanized operations.There is little research on optimizing the fully mechanized mining equipment removal plan during sequencing working face between different mines or different working faces in the same mine.In order to solve this problem,by investigating the mining conditions of Shendong Group's fully mechanized mining equipment in recent three years,the key parameters such as working face,equipment,personnel,and time are defined,which characterize the fully mechanized mining equipment removal during sequencing working face.Taking minimizing the maximum completion time as the objective function,a mathematical model for the fully mechanized mining equipment removal planning during sequencing working face is established.A genetic algorithm is designed to solve the mathematical model.The three-segment coding method considering the selection of working face,fully mechanized mining equipment and construction team is adopted,and the fitness function is built.The chromosomes of working face,fully mechanized mining equipment and construction team are selected,crossed and mutated.Considering the latest mining time,the legitimacy of chromosomes is judged and adjusted.By setting the number of iterations,search process of the algorithm is terminated and outputs the results.Based on the genetic algorithm for the fully mechanized mining equipment removal planning during sequencing working face,a management system of the fully mechanized mining equipment removal plan during sequencing working face based on B/S architecture is developed.It has realized the functions of basic information management of fully mechanized working face removal during sequence working face,and fully mechanized mining equipment removal planning during sequencing working face.The example shows that the application of genetic algorithm can shorten the construction period of fully mechanized mining equipment removal of 11 fully mechanized working faces in Shendong Group in 2021 from 103 days to 91 days.The method effectively improves the fully mechanized mining equipment removal planning efficiency and engineering efficiency.