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事件驱动的城市信息聚焦服务模型与系统
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
作者姓名:陈能成  王晓蕾  肖长江  龚健雅
作者单位:1.武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉, 430079;;2.地球空间信息技术协同创新中心, 湖北 武汉, 430079
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)。
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。

关 键 词:智慧城市  突发公共事件  城市信息资源  聚焦服务
收稿时间:2014-12-04

Model and System for Event-driven Focusing Service of Information Resources in Smart City
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
Authors:CHEN Nengcheng  WANG Xiaolei  XIAO Changjiang  GONG Jianya
Affiliation:1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;;2.Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
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.
Keywords:smart city  public emergencies  city information resources  focusing service
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