天然气管道多部件设备成组维修模型
|
摘要
针对天然气管道系统多部件设备维修不合理的现象,为了有效降低系统的维修费用和改善系统的可用度,引入多部件设备成组维修策略,并以此为基础判断各部件是否需要进行预防性维修或更换。根据界限滚动方法,以节约的系统总维修成本最大化为目标,考虑维修环境的变化,以有限的维修人力资源为约束条件,在保证系统运行最低可利用率的基础上,建立了天然气管道系统多部件设备成组维修模型,从而为确定最佳的成组维修策略提供了理论依据。结合具体应用实例,整合Multifit算法和遗传算法进行仿真,求解得到天然气管道系统压缩机中各部件的最优成组维修计划。结果显示:所构建的模型能够最大限度地节约维修成本、合理地进行维修分组及确定最佳维修时间。
In view of the unreasonable maintenance of multi-unit equipment in natural gas pipeline system, in order to lower the maintenance cost and improve the availability of the system effectively, a multi-unit equipment group maintenance strategy was introduced to determine whether each component needs preventive maintenance or replacement. According to the rolling horizon approach, a group maintenance model for the multi-unit equipment of natural gas pipeline was established while the lowest availability of the system operation was ensured. In this model, the total maintenance cost saving maximization of the system is taken as the objective and in view of the change of maintenance environments, the limited maintenance human resource is taken as the constraint. It provides the theoretical basis for determining the optimal group maintenance strategy. Finally, Multifit algorithm and genetic algorithm were integrated to simulate and solve the optimal group maintenance plan of each component in the compressor of the natural gas pipeline system based on the specific application cases. It is indicated that by virtue of this model, the maintenance cost can be saved to the uttermost, the maintenance can be grouped reasonably and the optimal maintenance time can be determined.
In view of the unreasonable maintenance of multi-unit equipment in natural gas pipeline system, in order to lower the maintenance cost and improve the availability of the system effectively, a multi-unit equipment group maintenance strategy was introduced to determine whether each component needs preventive maintenance or replacement. According to the rolling horizon approach, a group maintenance model for the multi-unit equipment of natural gas pipeline was established while the lowest availability of the system operation was ensured. In this model, the total maintenance cost saving maximization of the system is taken as the objective and in view of the change of maintenance environments, the limited maintenance human resource is taken as the constraint. It provides the theoretical basis for determining the optimal group maintenance strategy. Finally, Multifit algorithm and genetic algorithm were integrated to simulate and solve the optimal group maintenance plan of each component in the compressor of the natural gas pipeline system based on the specific application cases. It is indicated that by virtue of this model, the maintenance cost can be saved to the uttermost, the maintenance can be grouped reasonably and the optimal maintenance time can be determined.
引文
[1]魏永合,刘雪丽,牛保国.基于故障预测的预防性维修策略优化模型[J].组合机床与自动化加工技术,2015,7:91-94.WEI Y H,LIU X L,NIU B G.Preventive maintenance strategy optimization model based on fault prediction[J].Modular Machine Tool&Automatic Manufacturing Technique,2015,7:91-94.
[2]张志霞,赵乐新,林家祥.天然气管道多部件设备机会维修模型[J].油气储运,2017,36(2):155-160.ZHANG Z X,ZHAO L X,LIN J X.Opportunistic maintenance model for multi-component equipment in natural gas pipeline[J].Oil&Gas Storage and Transportation,2017,36(2):155-160.
[3]葛小凯,胡剑波,张博锋.考虑依赖性的多部件系统状态维修优化仿真建模[J].航空学报,2013,34(8):1854-1863.GE X K,HU J B,ZHANG B F.Simulation modeling for condition based maintenance optimization of multi-component systems with dependencies[J].Acta Aeronautica et Astronautica Sinica,2013,34(8):1854-1863.
[4]SHAFIEE M,FINKELSTEIN M.An optimal age-based group maintenance policy for multi-unit degrading systems[J].Reliability Engineering&System Safety,2015,134:230-238.
[5]OKOH P.Maintenance grouping optimization for the management of risk in offshore riser system[J].Process Safety&Environmental Protection,2015,98:33-39.
[6]CHALA BIN,DAHANE M,BELDJILA LI B,et al.Optimisation of preventive maintenance grouping strategy for multi-component series systems:particle swarm based approach[J].Computers&Industrial Engineering,2016,102:440-451.
[7]杨元,黎放,侯重远,等.基于相关性的多部件系统机会成组维修优化[J].计算机集成制造系统,2012,18(4):827-832.YANG Y,LI F,HOU C Y,et al.Opportunistic group maintenance optimization of multi-unit system under dependence[J].Computer Integrated Manufacturing Systems,2012,18(4):827-832.
[8]陈一梅,李少斌,金彬彬.基于预防性成组维修的人字门船闸大修周期[J].东南大学学报(自然科学版),2014,44(2):436-440.CHEN Y M,LI S B,JIN B B.Determination of cycle of mitering lock overhaul based on preventive group maintenance strategy[J].Journal of Southeast University(Natural Science Edition),2014,44(2):436-440.
[9]蔡景,李鑫,肖罗椿.民用飞机成组维修方案优化模型研究[J].南京理工大学学报,2015,39(3):306-311.CAI J,LI X,XIAO L C.Optimization model of group maintenance scheme for civil aircraft[J].Journal of Nanjing University of Science and Technology,2015,39(3):306-311.
[10]DO P,HAI C V,BARROS A,et al.Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams[J].Reliability Engineering&System Safety,2015,142:56-67.
[11]王灵芝,徐宇工,张家栋.以可靠性为中心的多部件系统预防性维修优化研究[J].计算机集成制造系统,2008,14(10):2042-2046.W ANG L Z,X U Y G,ZHANG J D.Optimization of reliability-centered preventive maintenance for multi-component systems[J].Computer Integrated Manufacturing Systems,2008,14(10):2042-2046.
[12]刘志勇,荣丽卿,程中华.考虑任务的多设备串联系统预防性维修决策优化[J].火力与指挥控制,2014,39(8):51-54.LIU Z Y,RONG L Q,CHENG Z H.Preventive maintenance decision optimization of multi-unit series system considering tasks[J].Fire Control&Command Control,2014,39(8):51-54.
[13]J O D E J K O-P I E T R U C Z U K A,W E R B I S K A-WOJCIECHOWSKA S.A delay-time model with imperfect inspections for multi-unit systems/model opónieńczasowych nieperfekcyjn diagnoz stanu systemu dla systemów wieloelementowych[J].Journal of Konbin,2013,23(1):157-172.
[14]王远航,邓超,胡湘洪,等.基于多故障模式的复杂机械设备预防性维修决策[J].计算机集成制造系统,2015,21(9):2504-2514.WANG Y H,DENG C,HU X H,et al.Preventive maintenance scheduling for complex mechanical device based on multiple failure modes[J].Computer Integrated Manufacturing Systems,2015,21(9):2504-2514.
[15]OYETUNJI E O,OLULEYE A E.A generalized algorithm for solving multicriteria scheduling problems[J].Advanced Materials Research,2012,367:653-666.
[16]周萍,蒋义伟,华荣伟.具有服务等级的三台平行机排序问题[J].浙江大学学报(理学版),2007,34(4):378-383.ZHOU P,JIANG Y W,HUA R W.Parallel scheduling on three machines under a grade of service provision[J].Journal of Zhejiang University(Science Edition),2007,34(4):378-383.
[17]LIU Y,QIN J,FIGUEIREDO R.The dispatch time aligning I/O scheduling for parallel file systems[J].Cluster Computing,2015,18(3):1025-1039.
[18]刘全,王晓燕,傅启明,等.双精英协同进化遗传算法[J].软件学报,2012,23(4):765-775.L I U Q,W A N G X Y,F U Q M,et al.Double elite coevolutionary genetic algorithm[J].Journal of Software,2012,23(4):765-775.
[19]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.FU X M,WANG F L,SHANG J J.Optimized BP neural network algorithm based on multi-child genetic algorithm[J].Computer Simulation,2016,33(3):258-263.
[20]DO P,BRISSAUD F,BARROS A,et al.Dynamic grouping maintenance strategy with time limited opportunities[J].Reliability Engineering&System Safety,2011,120(12):51-59.
[2]张志霞,赵乐新,林家祥.天然气管道多部件设备机会维修模型[J].油气储运,2017,36(2):155-160.ZHANG Z X,ZHAO L X,LIN J X.Opportunistic maintenance model for multi-component equipment in natural gas pipeline[J].Oil&Gas Storage and Transportation,2017,36(2):155-160.
[3]葛小凯,胡剑波,张博锋.考虑依赖性的多部件系统状态维修优化仿真建模[J].航空学报,2013,34(8):1854-1863.GE X K,HU J B,ZHANG B F.Simulation modeling for condition based maintenance optimization of multi-component systems with dependencies[J].Acta Aeronautica et Astronautica Sinica,2013,34(8):1854-1863.
[4]SHAFIEE M,FINKELSTEIN M.An optimal age-based group maintenance policy for multi-unit degrading systems[J].Reliability Engineering&System Safety,2015,134:230-238.
[5]OKOH P.Maintenance grouping optimization for the management of risk in offshore riser system[J].Process Safety&Environmental Protection,2015,98:33-39.
[6]CHALA BIN,DAHANE M,BELDJILA LI B,et al.Optimisation of preventive maintenance grouping strategy for multi-component series systems:particle swarm based approach[J].Computers&Industrial Engineering,2016,102:440-451.
[7]杨元,黎放,侯重远,等.基于相关性的多部件系统机会成组维修优化[J].计算机集成制造系统,2012,18(4):827-832.YANG Y,LI F,HOU C Y,et al.Opportunistic group maintenance optimization of multi-unit system under dependence[J].Computer Integrated Manufacturing Systems,2012,18(4):827-832.
[8]陈一梅,李少斌,金彬彬.基于预防性成组维修的人字门船闸大修周期[J].东南大学学报(自然科学版),2014,44(2):436-440.CHEN Y M,LI S B,JIN B B.Determination of cycle of mitering lock overhaul based on preventive group maintenance strategy[J].Journal of Southeast University(Natural Science Edition),2014,44(2):436-440.
[9]蔡景,李鑫,肖罗椿.民用飞机成组维修方案优化模型研究[J].南京理工大学学报,2015,39(3):306-311.CAI J,LI X,XIAO L C.Optimization model of group maintenance scheme for civil aircraft[J].Journal of Nanjing University of Science and Technology,2015,39(3):306-311.
[10]DO P,HAI C V,BARROS A,et al.Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams[J].Reliability Engineering&System Safety,2015,142:56-67.
[11]王灵芝,徐宇工,张家栋.以可靠性为中心的多部件系统预防性维修优化研究[J].计算机集成制造系统,2008,14(10):2042-2046.W ANG L Z,X U Y G,ZHANG J D.Optimization of reliability-centered preventive maintenance for multi-component systems[J].Computer Integrated Manufacturing Systems,2008,14(10):2042-2046.
[12]刘志勇,荣丽卿,程中华.考虑任务的多设备串联系统预防性维修决策优化[J].火力与指挥控制,2014,39(8):51-54.LIU Z Y,RONG L Q,CHENG Z H.Preventive maintenance decision optimization of multi-unit series system considering tasks[J].Fire Control&Command Control,2014,39(8):51-54.
[13]J O D E J K O-P I E T R U C Z U K A,W E R B I S K A-WOJCIECHOWSKA S.A delay-time model with imperfect inspections for multi-unit systems/model opónieńczasowych nieperfekcyjn diagnoz stanu systemu dla systemów wieloelementowych[J].Journal of Konbin,2013,23(1):157-172.
[14]王远航,邓超,胡湘洪,等.基于多故障模式的复杂机械设备预防性维修决策[J].计算机集成制造系统,2015,21(9):2504-2514.WANG Y H,DENG C,HU X H,et al.Preventive maintenance scheduling for complex mechanical device based on multiple failure modes[J].Computer Integrated Manufacturing Systems,2015,21(9):2504-2514.
[15]OYETUNJI E O,OLULEYE A E.A generalized algorithm for solving multicriteria scheduling problems[J].Advanced Materials Research,2012,367:653-666.
[16]周萍,蒋义伟,华荣伟.具有服务等级的三台平行机排序问题[J].浙江大学学报(理学版),2007,34(4):378-383.ZHOU P,JIANG Y W,HUA R W.Parallel scheduling on three machines under a grade of service provision[J].Journal of Zhejiang University(Science Edition),2007,34(4):378-383.
[17]LIU Y,QIN J,FIGUEIREDO R.The dispatch time aligning I/O scheduling for parallel file systems[J].Cluster Computing,2015,18(3):1025-1039.
[18]刘全,王晓燕,傅启明,等.双精英协同进化遗传算法[J].软件学报,2012,23(4):765-775.L I U Q,W A N G X Y,F U Q M,et al.Double elite coevolutionary genetic algorithm[J].Journal of Software,2012,23(4):765-775.
[19]付晓明,王福林,尚家杰.基于多子代遗传算法优化BP神经网络[J].计算机仿真,2016,33(3):258-263.FU X M,WANG F L,SHANG J J.Optimized BP neural network algorithm based on multi-child genetic algorithm[J].Computer Simulation,2016,33(3):258-263.
[20]DO P,BRISSAUD F,BARROS A,et al.Dynamic grouping maintenance strategy with time limited opportunities[J].Reliability Engineering&System Safety,2011,120(12):51-59.