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作 者:曹芳芳 高飞[1] 齐丽华 韩翔宇[1] CAO Fangfang;GAO Fei;QI Lihua;HAN Xiangyu(Beijing Aerospace Automatic Control Institute,Beijing 100854,China)
出 处:《航天控制》2025年第2期79-85,共7页Aerospace Control
摘 要:针对航天装备全系统测试数据和履历信息、环境数据等多源、异构海量数据信息,建立基于数据的健康管理系统。实现对测试数据、产品履历数据及环境数据的集成存储、模型分析和健康评估。系统基于服务化的架构设计,通过信息采集与处理实现对装备测试数据的集成与管理,通过轻量化的分布式列存储方式构建高可靠试验数据存储与管理底座。针对系统和关键单机的健康状态,给出基于算法模型的趋势分析、寿命预测和维修决策信息,进行分层级态势展示。实现全系统和关键单机的健康状态评估、健康趋势分析、寿命预测和维修决策支持等,为装备数据健康管理提供了一种解决方案。Aiming at full system test data and career information,environmental data,etc of multiple source and huge heterogeneous data of aerospace equipment,a data-based health management system is developed,which achieves the integration and storage management of test data,product career data,environmental data,model analysis and health assessment.The system is developed through serviceoriented architecture design,which is based on information gathering and processing for realizing integration and management of equipment test data and takes advantage of high-reliability test data storage and management foundation using lightweight distributed column storage mechanism.Regarding the health status of the system and key units,the trend analysis,life prediction,maintenance decision information and hier-archical situation presentation,which are based on algorithm models,are introduced.Realization of the health status evaluation,health trend analysis,life prediction,maintenance decision support,etc for the full system and key units can be served as a reference of equipment data health management solution.
关 键 词:信息集成 健康管理 状态评估 寿命预测 航天控制
分 类 号:TP319[自动化与计算机技术—计算机软件与理论]
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