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基于元认知和模糊综合评判的倒闸操作培训系统

Training system of switching operation based on meta-cognition and fuzzy comprehensive evaluation
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摘要 针对现有倒闸操作培训系统对模拟人的思维、问题求解考虑较少的问题,从分析运行人员的思维过程入手,在结合上安电厂开发的培训系统中,把操作规程和操作任务表示成知识点,利用模糊集理论评判监督运行人员对知识点的掌握情况。根据倒闸操作培训的特点,设计培训策略,并利用策略选择算法实现对培训策略的自动选择,模拟人在认知过程中的元认知的功能,对培训人员培训过程进行监督和策略指导。逐步提高运行人员对倒闸操作规程的掌握和运用水平,完善专业知识、优化操作策略。实际应用情况表明,该系统可以满足运行人员自我培训以及技能考核的需要。 Aimed at the problem of less consider to human thought and problem - solving in existing training system of switching operation, we designed a universal intelligent training system of switching operation for an actual power plant. In this system, operation regulations and operation tasks were expressed by knowledge point, and the mastery situation of operator to knowledge points was judged and supervised by the system using fuzzy theory. According to the characteristics of switching operation training, strategies were designed and automatic choice attained by the algorithm. The system could simulate the meta-cognitive function in human cognition process, judge and instructs the process of training, which could increase the operator ' s meta-cognition ability, perfect specialty knowledge, optimize operation tactic. It is proved that this system can satisfy the need of the self-training for operator and the skill-check for power plant.
作者 栗然 高博
出处 《华北电力大学学报(自然科学版)》 CAS 北大核心 2007年第4期11-16,共6页 Journal of North China Electric Power University:Natural Science Edition
关键词 元认知 模糊综合评判 倒闸操作 培训系统 meta-cognition fuzzy eomprehensive evaluation switch operation order training
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