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中文摘要：
为探索复杂安全系统降维方法和模式,基于安全系统数据场视角,对复杂安全系统降维理论模型开展研究。首先,将数据场概念引入复杂安全系统,并从宏观和微观2个层面阐述安全系统数据场的内涵及其4个基本要素;其次,分析数据场在安全系统中产生的3种效应模式及其导致事故发生的内在机制;最后,以复杂安全系统降维过程中的降维、降变和降容为主线,构建复杂安全系统降维理论模型。结果表明,数据场理论及其效应模式适用于描述和阐释复杂安全系统的降维过程与规律,自聚类、维内降容、维间降维、维内（间）降变是复杂安全系统降维的4个关键过程。
英文摘要：
To explore dimension reduction methods and patterns of complex safety systems,based on safety system data field,a research on dimension reduction model of complex safety system was carried out.Firstly from the perspective of data representing safety characteristics and states,a concept of data field was introduced,and connotations of data field in safety space were described from both macro and micro levels.Meanwhile,four basic elements were summarized.Then based on all above,the effects that data field brought in safety space were analyzed from three levels to explain how accidents occurred from small incidents.Finally,a dimension reduction model of complex safety system based on data field was built by taking the dimension reduction,capacity reduction and change reduction process as main line.The results show that data field can describe and explain the dimension reduction process and rules of complex safety system effectively,and self-organizing clustering,capacity reduction in the dimension,dimension reduction between dimensions,and that change reduction in or between dimensions are four key processes of safety system dimension reduction.
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