煤炭工程 ›› 2020, Vol. 52 ›› Issue (6): 164-169.doi: 10.11799/ce202006034

• 研究探讨 • 上一篇    下一篇

考虑机会维护的煤矿综采设备群维护决策优化研究

曹现刚,宫钰蓉,罗璇,雷一楠,张树楠   

  1. 西安科技大学
  • 收稿日期:2019-06-17 修回日期:2019-10-28 出版日期:2020-06-15 发布日期:2020-07-23
  • 通讯作者: 宫钰蓉 E-mail:552156278@qq.com

Research on Maintenance Decision Optimization of Coal Mine Fully Mechanized Mining Equipment Based on Genetic Algorithm

  • Received:2019-06-17 Revised:2019-10-28 Online:2020-06-15 Published:2020-07-23

摘要: 为了降低煤炭企业维护风险与维护成本,提出了一种考虑煤矿维护安全与维护成本的多目标决策优化模型。首先通过威布尔分布模拟各台设备劣化趋势,然后以设备维护中人与管理为影响因素建立煤矿设备维护不安全耦合模型,以维护成本最低与停机损失最小为目标建立维护费用最低模型。最终以煤矿综采设备群维护调度为例采用基于维护顺序编码的交叉算子POX的改进遗传算法进行求解。实验结果表明:第一次维护调度完目标函数值降低了30.68%,完成三次工作面维护成本率降低了40.52%。因此,此方法可为煤炭企业制定合理的调度决策计划,降低煤矿企业的维护成本,提高煤矿设备运行的安全性能。

关键词: 综采设备群, 威布尔分布, 维护调度, 机会维护, 串联系统

Abstract: :In order to reduce the maintenance risk and maintenance cost of coal enterprises, this paper proposes a multi-objective decision-making optimization model considering coal mine maintenance safety and maintenance cost. Firstly, the Weibull distribution is used to simulate the deterioration trend of each equipment, and then the equipment maintenance and management are Influencing factors Establish an unsafe coupling model for coal mine equipment maintenance, and establish a minimum maintenance cost model with the goal of minimum maintenance cost and minimum downtime loss. Finally, the improved genetic algorithm of crossover operator POX based on maintenance sequence coding is used to solve the maintenance scheduling of coal mine comprehensive mining equipment group. The results show that the target function value of the first maintenance and dispatching is reduced by 30.68%, and the maintenance of three working faces is completed. The cost rate has been reduced by 40.52%. Therefore, this method can develop a reasonable scheduling decision plan for coal enterprises, reduce the maintenance cost of coal mine enterprises, and improve the safety performance of coal mine equipment operation.

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