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

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，具备在航天测控系统中推广的可能，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:

In order to scientifically formulate maintenance strategies for measurement and control equipment during the task planning cycle, reduce redundant resource waste, increase the reliability of backup resources, while ensuring controllable risk of task execution, and promote the transformation of equipment maintenance resource allocation from expert experience to accurate calculation, a set of optimization objectives with reliability as the constraint and cost control as the optimization objective is designed, The method for generating the optimal selective maintenance strategy of measurement and control equipment based on genetic algorithm is implemented, and experiments are conducted using past recorded data of a certain type of measurement and control equipment to prove the effectiveness and feasibility of the algorithm. It has the possibility of promotion in aerospace measurement and control systems, providing technical reserves for the subsequent formation of a scientific allocation plan for maintenance and repair resources of aerospace launch sites.