基于实时数据驱动的航天测控系统运行监控框架  

Monitoring framework for aerospace TT&C system based on real-time data driving

作　　者：孙振宇 赵宝康[1] 贾文涛 SUN Zhenyu;ZHAO Baokang;JIA Wentao(School of Computer Science,National University of Defense Technology,Changsha 410003,China;Xi’an Satellite Tracking and Control Center,Xi’an 710043,China)

机构地区：[1]国防科技大学计算机学院,湖南长沙410003 [2]西安卫星测控中心,陕西西安710043

出　　处：《西安邮电大学学报》2024年第5期88-95,共8页Journal of Xi’an University of Posts and Telecommunications

基　　金：国家自然科学基金项目(U22B2005)。

摘　　要：针对当前航天测控系统运行监控存在的业务状态复杂多样、软硬件运维分散、故障排查时间长等问题,提出一种基于实时数据驱动的航天测控系统运行监控框架。通过分析当前航天测控软件系统的监测特征,包括实时数据的获取与分类、挖掘分析、结构化管理和可视化显示等,设计态势检测框架的体系架构、数据采集方式、数据关联分析方法及故障检测机制。试验结果表明,该运行监控框架将航天测控系统中63.7%故障的检测时间降低为2 min以下,能够有效提升现有测控系统的运维能力。For the problems existing in the status monitoring of aerospace telemetry,telecommand and control(TT&C)software system,such as complex and diverse business status,decentralized operation and maintenance of software and hardware,and long troubleshooting time,a situation monitoring framework is proposed based on real-time TT&C data drive.The monitoring characteristics of the current aerospace TT&C software system is analyzed,including the acquisition and classification of real-time data,mining analysis,structured management,visual display and so on.The system architecture,data collection method,data correlation analysis method and fault detection mechanism of the situation detection framework are designed.Experiment results show that the proposed framework can reduce the detection time systems to less than 2 minutes for 63.7%faults in TT&C,which can effectively improve the operation and maintenance capabilities of the current TT&C systems.

关 键 词：航天测控系统 态势监测 故障诊断 数据流 监控框架 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]