事件驱动的城市信息聚焦服务模型与系统

陈能成, 王晓蕾, 肖长江, 龚健雅

陈能成, 王晓蕾, 肖长江, 龚健雅. 事件驱动的城市信息聚焦服务模型与系统[J]. 武汉大学学报 ( 信息科学版), 2015, 40(12): 1633-1638. DOI: 10.13203/j.whugis20140928
引用本文: 陈能成, 王晓蕾, 肖长江, 龚健雅. 事件驱动的城市信息聚焦服务模型与系统[J]. 武汉大学学报 ( 信息科学版), 2015, 40(12): 1633-1638. DOI: 10.13203/j.whugis20140928
CHEN Nengcheng, WANG Xiaolei, XIAO Changjiang, GONG Jianya. Model and System for Event-driven Focusing Service of Information Resources in Smart City[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12): 1633-1638. DOI: 10.13203/j.whugis20140928
Citation: CHEN Nengcheng, WANG Xiaolei, XIAO Changjiang, GONG Jianya. Model and System for Event-driven Focusing Service of Information Resources in Smart City[J]. Geomatics and Information Science of Wuhan University, 2015, 40(12): 1633-1638. DOI: 10.13203/j.whugis20140928

事件驱动的城市信息聚焦服务模型与系统

基金项目: 国家863计划资助项目(2013AA01A608); 国家自然科学基金资助项目(41171315)。
详细信息
    作者简介:

    陈能成,博士,教授,从事对地观测传感网、时空大数据、动态实时网络GIS和位置智慧应用研究。E-mail:cnc@whu.edu.cn

  • 中图分类号: P208

Model and System for Event-driven Focusing Service of Information Resources in Smart City

Funds: The National High Technology Research and Development Program of China (863 Program), No. 2013AA01A608; the National Natural Science Foundation of China, No. 41171315.
  • 摘要: 如何根据城市突发事件应急处置任务需求,对分散的数据和服务资源进行高效聚集,辅助突发事件决策是智慧城市建设需要解决的问题之一。提出了事件驱动的城市信息聚焦服务模式,通过事件触发决策过程,实现事件处置任务需求和城市信息资源的无缝衔接和聚合,辅助决策者对城市突发事件有效处理决策及快速有效处置;设计了抽象决策信息聚焦服务链和决策结果的注册信息模型,实现了事件驱动的城市信息聚焦服务系统。以太原市燃气扩散事件为例开展系统应用实验,结果表明了所提的聚焦服务模式、注册信息模型和系统辅助城市突发公共事件应急处置决策的可行性和适用性。
    Abstract: How to focus distributed data and service resources efficiently for urban emergency decision support and rapid response is a vitally important issue that has to be addressed in the process of smart city construction. In this paper, an event-driven focusing service pattern for city information resources is proposed. It triggers the decision process by events, and realizes a seamless integration of requirements and city information resources, providing comprehensive auxiliary decision support in urban public emergencies. A registration information model for a decision information focusing service chain are also illustrated. Furthermore, an event-driven system for focusing distributed city information resources was designed and implemented. System application experiments were performed with a gas leakage event as a test case. Results show that the proposed focusing service pattern, registration information models, and system are feasible and suitable for emergency response.decision support in the smart city.
  • [1] Li Deren, Yao Yuan, Shao Zhenfeng. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640 (李德仁, 姚远, 邵振峰. 智慧城市中的大数据[J]. 武汉大学学报·信息科学版, 2014, 39(6):631-640)
    [2] ITU-T Focus Group on Smart Sustainable Cities. Integrated Management for Smart Sustainable Cities[OL]. http://www.itu.int/en/ITU-T/focusgroups/ssc/Documents/Finalized_Deliverables/fg-ssc-0210-r5-technical_report_integrated_management_for_ssc.doc, 2015
    [3] Chen Nengcheng, Wang Wei, Wang Chao, et al. Integrated Management for Smart City[M]. Beijing: Science Press, 2015(陈能成, 王伟, 王超, 等. 智慧城市综合管理[M]. 北京:科学出版社, 2015)
    [4] Chen Nengcheng, Xiao Changjiang, Pu Fangling, et al. Cyber-physical Geographical Information Service-Enabled Control of Diverse In-situ Sensors[J]. Sensors, 2015, 15(2): 2 565-2 592
    [5] Bröring A, Echterhoff J, Jirka S, et al. New Generation Sensor Web Enablement[J]. Sensors, 2011, 11(3): 2 652-2 699
    [6] Chen Nengcheng, Wang Ke, Xiao Changjiang, et al. A Heterogeneous Sensor Web Node Meta-model for the Management of a Flood Monitoring System[J]. Environmental Modeling & Software, 2014, 54:222-237
    [7] Chen Nengcheng, Di Liping, Yu Genong, et al. A Flexible Geospatial Sensor Observation Service for Diverse Sensor Data Based on Web Service[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64(2): 234-242
    [8] Xiao Changjiang, Chen Nengcheng, Li Jizhen, et al. Online Planning for Video Sensors Within the Context of Sensor Web[J]. Journal of Computer Applications, 2014, 34(S2): 1-3, 23(肖长江, 陈能成, 李继珍, 等. 传感网环境下视频传感器在线规划[J]. 计算机应用, 2014, 34(S2):1-3, 23)
    [9] OGC 05-007r7. OpenGIS Web Processing Service[S] (Version 1.0.0). Wayland, MA, USA: Open Geospatial Consortium, 2007
    [10] Chen Zeqiang, Chen Nengcheng, Yang Chao, et al. Cloud Computing Enabled Web Processing Service for Earth Observation Data Processing [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(6): 1 637-1 649
    [11] Fan Minghu, Fan Hong, Chen Nengcheng, et al. Active On-demand Service Method Based on Event-driven Architecture for Geospatial Data Retrieval[J]. Computers & Geosciences, 2013, 56: 1-11
    [12] The Master State Plan for Rapid Response to Public Emergencies[J]. China Flood and Drought Management, 2006, 01: 16-19(国家突发公共事件总体应急预案[J]. 中国防汛抗旱, 2006, 01:16-19)
    [13] Huang Hongbin, Xiong Fang, Deng Su, et al. Semantic Relatedness-based Information Focusing Service Model and Approach[J]. Computer Sciences, 2011, 38(8):185-188(黄宏斌, 熊芳, 邓苏, 等. 基于语义相关的信息聚焦数学模型及方法研究[J]. 计算机科学, 2011, 38(8):185-188)
    [14] Zhu Qing, Li Haifeng, Yang Xiaoxia. Hierarchical Semantic Constraint Model for Focused Remote Sensing Information Service[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1 454-1 457(朱庆, 李海峰, 杨晓霞. 遥感信息聚焦服务的多层次语义约束模型[J]. 武汉大学学报·信息科学版, 2009, 34(12):1 454-1 457)
    [15] Li Deren, Tong Qingxi, Li Rongxing, et al. Current Issues in High-resolution Earth Observation Technology[J]. Science China: Earth Sciences, 2012, 42(6): 805-813(李德仁, 童庆禧, 李荣兴, 等. 高分辨率对地观测的若干前沿科学问题[J]. 中国科学:地球科学, 2012, 42(6): 805-813
计量
  • 文章访问数:  1422
  • HTML全文浏览量:  78
  • PDF下载量:  562
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-12-03
  • 发布日期:  2015-12-04

目录

    /

    返回文章
    返回