铁道供电调度拥塞控制机制与海量信息集群压缩算法研究

项目名称： 铁道供电调度拥塞控制机制与海量信息集群压缩算法研究

项目编号： No.51267005

项目类型： 地区科学基金项目

立项/批准年度： 2013

项目学科： 电工技术

项目作者： 屈志坚

作者单位： 华东交通大学

项目金额： 50万元

中文摘要： 高速铁道供电调度的信息流，具有点多、变化快和突发性特点，突发故障处理的信息量过大时，容易造成故障迟报、误报甚至漏报，长期运行产生海量信息导致存取反应慢，甚至死机，直接威胁供电调度的安全运行。本项目以铁道供电突发信息和海量信息为研究对象，利用报童模型、发布订阅模式、智能交互方法和集群压缩算法进行基础科学研究。内容包括：(1)建立报童发布订阅模型，利用报童模型调控信息发布量，研究对订阅信息延时的影响；(2)运用信息智能交互方法，借助智能联盟和消息事件触发器通信模式，探索突发信息的自主抗拥塞交互新机制；(3)建立海量存储信息大比率压缩存取的集群压缩组件，融合云平台和分解聚合引擎，研究无损集群压缩新算法。本项目旨在揭示铁道供电突发信息拥塞发生的条件和规律，提升应对突发故障的能力，提高海量监测信息的无损压缩率，为保障铁道牵引供电和信号供电的安全调度奠定理论与技术基础。

中文关键词： 报童模型；发布订阅机制；信息智能体；云计算；集群压缩

英文摘要： Information flow of high-speed railway power supply dispatching is fast-changed for multipoint and burst characteristics, which is easy to cause fault delay or omission when excessive amount of information need to handle in the event of an emergency, massive information of long term operation will make access response too slow, or even crash, which will directly threaten the safe operation of power supply dispatching. Suddenly information and massive information for railway power supply system are as research object in this project, which will have a basic scientific research using newsboy model, publish subscribe mode, intelligent interaction method and cluster compression algorithm. Contents are as follows: (1)Establishing newsboy publish subscrible model, to control the quantitative relationship between information publish and system subscrible delay; (2)Using information intelligent interaction method, with intelligent alliance and news-event trigger communication mode, to explore new anti-congestion mechanism for emergency information; (3)Establishing cluster compression access component that massive storage information can be high ratio compression, which will fuse cloud platform and decomposition aggregation engine, and research new lossless cluster compression algorithm. The aims of this project are to r

英文关键词： newsboy model；publish subscribe model；intelligent alliance；cloud computing；cluster compress