关键词: 有效载荷, 自动判读, 专家系统, CLIPS, 频繁模式挖掘

Abstract:

Considering the mass data and complex criterions of payload telemetry, we propose a technology of automatic discrimination for payload telemetry data based on C language integrated production system (CLIPS). This technology realizes not only the descriptions of complex discrimination rules by adopting the expert system language CLIPS but also the dynamic discrimination of telemetry data varying with the state of payloads by introducing finite state machine. Besides, we design the auxiliary learning algorithm of discrimination knowledge by mining rules from frequent patterns and improve the speed of discrimination by using reasoning mechanism of CLIPS. Thus this technology can meet the requirement of data discrimination for payload system test and flight control, and dramatically improves the efficiency and veracity of discrimination.It has been successfully applied to some satellite projects.

Key words: payload, automatic discrimination, expert system, C language integrate production system(CLIPS), mining of frequent-pattern