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
虞炳文 1蔡红维 2丁思炜 2翁应健 2徐涛2
作者信息
- 1. 国防科技大学计算机学院,长沙 410073;西昌卫星发射中心,四川西昌 615000
- 2. 西昌卫星发射中心,四川西昌 615000
- 折叠
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.
Abstract
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 controlla-ble,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 al-gorithm,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 al-gorithm,which can be popularized in the space measurement and control system,it provides technical reserves for the subsequent sci-entific 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Key words
selective maintenance/accurate guarantee/reliability/cost control/genetic algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据