基于数据挖掘和WebGIS的应急物流决策支持系统研究

文章首先剖析和总结了应急物流的特点,并针对应急物流的特点,给出了应急物流决策支持系统的功能需求:辅助决策方案智能生成、应急物流实时动态监控。在此基础之上,提出了一种基于数据挖掘和WebGIS技术的应急物流决策支持系统模型,然后对该系统的体系结构和运作流程进行了具体研究,系统划分为4层级结构:人机交互层、功能层、控制层和数据层,6大功能模块:需求物资紧急查找模块、应急物资精确配给模块、运输实时动态跟踪模块、运输最佳路径分析模块、物资收发实时可视模块、应急物流评价模块。最后分析和改进了系统中的部分效率瓶颈问题,给出了系统WebGIS图层实现。系统的研究对于提高应急物流的感知能力、反应能力、成本控制能力和抗风险能力有重要的现实意义。

Emergency logistics decision support system based on data mining and WebGIS technology

Firstly the paper analyzes and summarizes the characteristics of emergency logistics.In response to the characteristics of the emergency logistics,the paper gives the function requirement of the system:"decisions generate automaticly,immediate and dynamic monitoring".On this basis the paper puts forward a kind of emergency logistics decision support system model based on data mining and WebGIS technology.Then the paper studies the structure,the flow of the system,which is divided into four level structure and six functional modules.Finally the paper improves one of the efficiency bottleneck problems of the system and gives the WebGIS layer implementation.The study is significant in improving the ability of emergency logistics in perception,reaction,controlling cost and resisting risks.