中文摘要：

应急信息监测是实现突发事件应急管理的前提条件,也是应急情报体系建设的重要一环。为及时预警、应对和处理突发事件,本文讨论了面向突发事件的应急信息监测系统的设计原则和功能模块,并探讨了应急信息监测存储系统的结构模型。其中,数据的有效存储是支撑情报人员进行进一步数据分析,实现突发事件预警和应对工作的物理基础。然而大数据环境下,突发事件信息监测网络收集的海量数据对数据的存储及有效利用提出了挑战。因此,本文基于遗传算法提出一种存储优化策略能够寻找到最优的数据指标聚类集合,进而有效的减少数据的存储空间,最后经过实验仿真验证了其有效性。

英文摘要：

Information monitoring is not only a prerequisite to emergency management, but also a necessary sector for the instruction of emergency information system. In purpose of optimizing the emergencies management process, which includes warning, manipulating and resolving steps, we discuss the designing principles as well as the functional module of Emergency Information Monitoring System, then we explore the structural model of the information storage which is a basis for further analyzing. However, under the big data environment, the main challenge faced by traditional systems is the collection, storage and utilization of those mass data. This study therefore proposeds a storage optimization strategy based on genetic algorithm, which can find the optimal index set of data set and reduce the necessary space. Finally, the effective- ness of the proposed method is verified by simulation experiments.