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现代航天测控系统多采用自动化运行方式,但系统过于庞大和复杂,难免发生影响任务运行的故障。为保障测控系统稳定、可靠的运行,提出了一种基于思维成长的故障诊断方法,并在软件处理层面对故障进行处理,这种方法主要仿照人脑思维运行进行软件系统构建以达到智能故障诊断处理效果。首先,阐述了思维成长模型认识事物、构建关联、积累经验和处理未知的过程。然后,对具体软件系统的语言体系、思维库和思维算法进行构建。最后,以某站模拟运行效果为例,验证了系统具备较强的深层故障诊断能力和经验积累能力。
Modern aerospace monitoring and control system to use more automated mode of operation, but the system is too large and complex, inevitably affect the task of running the fault. In order to ensure the stable and reliable operation of the monitoring and control system, a fault diagnosis method based on the growth of thinking is proposed and the fault is dealt with at the software processing level. This method is mainly based on human brain thinking to run the software system construction to achieve intelligent fault diagnosis Processing effect. First of all, it expounds the process of thinking growth model to recognize things, build relationships, accumulate experience and deal with the unknown. Then, construct the language system, thinking base and thinking algorithm of the specific software system. Finally, taking the simulation effect of a certain station as an example, it is verified that the system has strong capability of deep fault diagnosis and experience accumulation.