基于海量数据挖掘的武汉城市圈应急物流系统的设计与优化

发布时间：2018-02-28 19:00

本文关键词： 应急物流数据挖掘应急物流信息系统武汉城市圈　出处：《湖北工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着社会转型的加快，我国进入各类非常规性突发事件高发时期。特别是城市，高度聚集着大量人口、产业和财富，遭受各种非常规突发事件的形势日趋严峻。城市应急物流系统的应急反应和应急保障能力关系到社会的稳定和人民的安全，所以城市应急物流的构建是一项复杂的系统工程。面对新的形式、新的要求，武汉城市圈应该如何积极应对各种非常规突发事件、如何设计和优化应急物流系统，已经成为当前需要迫切解决的问题。由于各类非常规突发事件的诱发原因、扩散机理、演化规律都不同，呈现出明显的地域性、异构性、海量复杂性的特征。这些特征给我们进行应急救灾工作带来了巨大的难题，，即如何从非常规突发事件的海量复杂数据中选择我们所需要的信息，为不同的决策层做出应急决策提供信息支撑。应急物流信息系统是贯穿于整个应急物流过程中的，为整个救灾过程提供信息支持的系统。数据挖掘技术是指从海量的、复杂的数据集合中挖掘有价值的、潜在的但还未被人们知晓的信息和知识。因此，在应急物流信息系统中能有效运用新兴的数据挖掘技术，我们就可以从大量原始操作数据中发现有价值的信息，最终达到应急管理信息共享的目的，提高应急指挥和决策的能力，不断提升应急管理的水平，减少非常规突发事件带来的损失。本论文主要是以应急物流和数据挖掘相关知识为基础，结合数据挖掘的特点，提出在武汉城市圈应急物流信息系统的构建中能有效运用数据挖掘技术，以便提升武汉城市圈应急物流系统的整体水平。文章主要对武汉城市圈应急物流系统的功能进行分析和梳理，在此基础上设计了系统的大致结构，并构建了基于数据挖掘的武汉城市圈应急物流信息系统的框架。提出武汉1+8城市圈的应急联动模式、利用情景规划降低武汉城市圈应急物流的不确定性以及通过研究应急资源的选址和配置来优化武汉城市圈应急物流系统。
[Abstract]:With the acceleration of social transformation, China has entered a period of high incidence of all kinds of unconventional emergencies. Especially in cities, a large number of people, industries and wealth are highly concentrated. The emergency response and emergency support ability of the urban emergency logistics system is related to the stability of society and the safety of the people. Therefore, the construction of urban emergency logistics is a complex system engineering. Facing the new form and new requirements, how should Wuhan city circle actively respond to all kinds of unconventional emergencies, how to design and optimize emergency logistics system, It has become a problem that needs to be solved urgently. Because of the different causes, diffusion mechanisms, and evolution laws of all kinds of unconventional emergencies, there are obvious regional and heterogeneity. The characteristics of massive complexity. These characteristics bring us a huge problem in emergency relief work, that is, how to select the information we need from the massive complex data of unconventional emergencies. Emergency logistics information system runs through the whole emergency logistics process and provides information support for the whole disaster relief process. Data mining technology refers to the mining of valuable, potential and unknown information and knowledge from massive and complex data sets. Therefore, the emerging data mining technology can be used effectively in emergency logistics information systems. We can find valuable information from a large number of raw operational data, and finally achieve the purpose of sharing emergency management information, improve the ability of emergency command and decision-making, and continuously improve the level of emergency management. Reduce the damage caused by unconventional emergencies. This paper is mainly based on the knowledge of emergency logistics and data mining, combined with the characteristics of data mining, put forward the effective use of data mining technology in the construction of Wuhan city circle emergency logistics information system. In order to improve the whole level of Wuhan city circle emergency logistics system, the article mainly analyzes and combs the function of Wuhan city circle emergency logistics system, and then designs the general structure of the system. The framework of Wuhan city circle emergency logistics information system based on data mining is constructed, and the emergency linkage mode of Wuhan 18 city circle is put forward. Using scenario planning to reduce the uncertainty of emergency logistics in Wuhan city circle and to optimize the emergency logistics system of Wuhan city circle by studying the location and allocation of emergency resources.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.13;F253.9

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