巨灾风险大数据处理应急分类、分解、分拣算法与应用

发布时间：2018-06-27 22:53

本文选题：巨灾风险大数据 + 应急分类分解算法　；参考：《系统工程理论与实践》2015年03期

【摘要】：本文主要研究巨灾风险大数据处理的应急分类、分解、分拣算法,给出了相应的算法原理和可操作的步骤.首先根据巨灾风险大数据灾害规模巨大的特征,提出了一种用来解决巨灾风险大数据中一级事件的应急分类与二级事件及以下更低级事件的应急分解算法,并以特大地震灾害作为实例进行了算法应用.接着定义了事故灾难度,用来对巨灾风险大数据处理过程中,对各种级别的事故灾难后果进行不同的数字标识.然后提出一种用来解决巨灾风险中大数据快速处理的应急分拣算法,并在汶川地震中大规模灾害的应急救援计划中进行应用.经过采用这样的应急分拣原理,就可以在面对巨灾风险大数据的复杂、繁多和零乱的重灾事件状态下,使整个应急救援方案优化,并能够有条不紊地进行救援.
[Abstract]:This paper mainly studies the emergency classification, decomposition and sorting algorithm of big data processing of catastrophe risk, and gives the corresponding algorithm principle and operational steps. Firstly, according to the large scale of catastrophe risk big data disaster, an emergency decomposition algorithm is proposed to solve the emergency classification of first-level events in catastrophe risk big data and the second-level events and the lower level events. The application of the algorithm is carried out by taking the earthquake disaster as an example. Then, the degree of accident disaster is defined, which is used to identify the consequences of various levels of accidents and disasters in the process of dealing with catastrophe risk in big data. Then an emergency sorting algorithm is proposed to deal with the large data in the disaster risk, and it is applied to the emergency rescue plan of the large-scale disaster in Wenchuan earthquake. By adopting this principle of emergency sorting, the whole emergency rescue scheme can be optimized and the rescue can be carried out methodically in the face of the complex, numerous and chaotic state of big data.
【作者单位】：暨南大学公共管理学院/应急管理学院/金融工程研究所;广东省公共网络安全风险评价与预警应急技术研究中心;
【基金】：国家自然科学基金(71173089) 广东省科技计划项目(2013B021500013,2012B091000155) 广东省高层次人才项目暨南大学创新能力建设项目
【分类号】：X4;TP274

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