气象网络信息中复合事件优化检测仿真

Simulation of Composite Event Detection and Simulation in Meteorological Network Information

对气象网络信息中复合事件优化检测,有助于分析各类气象网络信息。进行复合实践检测时,应对同属性的气象网络信息进行聚类,在此基础上,利用局部决策节点对复合事件进行准确标记完成检测,但是传统方法通过休眠调度的基本原理,只需要处在启动状态的节点了解自身所处位置完成检测,但是不能对气象网络信息进行有效聚类,无法完成对复合事件的准确标记,降低了气象网络信息中复合事件检测的准确性。提出了基于Markov链的气象网络信息中复合事件优化检测方法。首先利用基于Narkov链特殊性质的序列先后顺序查询方法,将事件间的先后序列关系作为第一要素。依据Markov流取得相应查询模式及对应的匹配复合事件集,将事件集中事件先后序列作为计算对象,依据Markov链求解概率值,将大于阈值的概率值当成查询结果;将查询结果作为样本数据,利用事件关联性对同属性的数据实现聚类,获取正确数据,并标注为局部决策节点,通过模糊判定机制运用局部决策节点对复合事件进行最终判定。仿真结果表明,通过气象网络复合事件检测技术能够确定事件发生区域,为建立气象信息网络灾难系统提供理论支持。

An optimization detection method of complex event in the meteorological network information is proposed based on the Markov chain.Firstly,the order sequence relation among the events is used as the first factor by using the query method of sequence order based on the special property of Markov chain,and the corresponding query mode and the matching complex event set are acquired according to the Markov flow.Then,the event order sequence in the event set is used as the calculation object,and the probability value is solved according to the Markov chain.Moreover,the probability value bigger than the threshold value is used as the query result.The query result is used as the sample data,and the data with the same attribute are clustered by using event relatedness to obtain the correct data and marked as the local decision node.Finally,the local decision node is used to make the final judgment for the complex event through the fuzzy judgment mechanism.Simulation results show that the proposed method can confirm the event area through the detection technology of complex event in meteorological network.It can provide the theoretical support for establishing the disaster system of meteorological information network.