基于数据挖掘的航天遥测数据分析系统的设计

Design of Spacecraft Telemetry Data Analysis System Based on Data Mining

航天器遥测数据是了解航天器系统运行状况的关键所在。如何从大量的遥测数据中发现有用的知识为诊断、预测航天器系统的运行状况服务是航天器遥测数据分析领域的基本问题。针对该问题,在简要介绍数据挖掘基本方法的基础上,探讨了数据挖掘技术在航天遥测数据分析上的应用,建立了基于数据挖掘的航天遥测数据分析系统的基本功能模型框架,并就各功能模块进行了较为详细的设计,以实现遥测数据的离群点分析、参数相关分析、时间序列分析和系统状态分析等功能,最后就开发工具的选择问题进行了讨论,提出了采用Elasticsearch、python和Kibana结合的方式构建该系统的方案。

Spacecraft telemetry data is the key to understand the operation status of spacecraft system.How to discover useful knowledge from a large number of telemetry data for diagnosing and predicting the operation status of spacecraft system is a basic problem in the field of spacecraft telemetry data analysis.On the basis of introducing the basic methods of data mining,this paper discusses the application of data mining technology in the analysis of space telemetry data,establishes the basic functional model framework of space telemetry data analysis system based on data mining,and designs every module in detail to realize the functions of outlier analysis,parameter correlation analysis,time series analysis and system state analysis.Finally,the selection of development tools is discussed,and a scheme of building the system by combining Elasticsearch,Python and Kibana is proposed.