结合普适计算的相关研究,提出了基于情境时序建模的活动异常监控方法.考虑到活动中情境间的时序特征,对情境进行时序建模;根据活动在正常发生时有关情境的时序约束,归纳了活动中出现异常时,情境不满足时序约束的情况,并给出了由当前及历史情境来发现活动异常的相关算法.通过金相组织分析实验对方法进行了应用.%Combined with related research in pervasive computing area,a methodology based on context temporal modeling is provided to monitor activity.Considering temporal characteristic among contexts during activity,firstly,temporal modeling about contexts is prescribed,secondly the cases is induced that the temporal constrains corresponding to normal situation are not satisfied when anomaly appeared,and then the anomaly detection algorithm is described according to the current and history contexts.Finally,the methodology is verified by the case of metallurgical structure analysis experiment.
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