基于成本控制的测控设备选择性维护策略研究  

Research on the Optimal Selective Maintenance Strategy for Measurement and Control Equipment Based on Cost Control

作　　者：虞炳文 蔡红维[2] 丁思炜 翁应健 徐涛 YU Bingwen;CAI Hongwei;DING Siwei;WENG Yingjian;XU Tao(College of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China;Xichang Satellite Launch Center,Xichang 615000,China)

机构地区：[1]国防科技大学计算机学院,长沙410073 [2]西昌卫星发射中心,四川西昌615000

出　　处：《计算机测量与控制》2024年第7期140-146,153,共8页Computer Measurement &Control

摘　　要：为科学制定任务计划周期内的测控设备维护策略,减少冗余资源浪费,增加备份资源的可靠性,同时保证任务执行的风险可控,促进设备维护资源配置从专家经验到精准计算的转变,设计一套以可靠性为约束条件,以成本控制为优化目标的,基于遗传算法实现的最优测控设备选择性维护策略生成方法,并利用某型测控设备以往记录数据进行实验,证明了算法的有效性和可行性,可在航天测控系统中进行推广,为后续形成科学化的航天发射场维护维修资源配置方案,提供了技术储备。o scientifically formulate maintenance strategies for measurement and control equipment within the task planning cycle,reduce the waste of redundant resources,increase the reliability of backup resources,ensure that task execution risks are controllable,and promote the transformation of equipment maintenance resource allocation from expert experience to accurate calculation,this paper presents a selective maintenance strategy generation method for optimal measurement and control equipment based on genetic algorithm,its reliability is taken as constraint conditions,and the cost control as an optimization goal.The previous data from a certain type of measurement and control equipment are used to carry out the experiment,and verify the effectiveness and feasibility of the algorithm,which can be popularized in the space measurement and control system,it provides technical reserves for the subsequent scientific maintenance and repair resource allocation schemes in space launch sites.

关 键 词：选择性维护 精准保障 可靠性 成本控制 遗传算法 

分 类 号：N945.12[自然科学总论—系统科学]