群体事件应急处置辅助决策系统
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摘要
本课题“群体事件应急处置辅助决策系统”是“突发性事件应急处置辅助决策系统”中的一个雏型。该课题主要是为解决聚众上访、非法集会、围攻党政机关等扰乱正常生产生活及办公秩序等群体事件的快速决策问题。本系统的主要任务是通过网络,对大量的数据、信息、知识理论、模型等进行抽取、提炼,并加以计算,得出预案,实施决策支持,进行决策评估、决策选优,生成一套可行的应急处置方案。系统还可以为相关部门进行预警监测、应急处置、矛盾化解、事态平息等方面提供一些先进的方法和手段,提高处置群体性突发事件的能力。
本文首先介绍了决策支持系统的基本概念,以及当前此类软件的最新进展。而后着重介绍了群体性事件应急处置辅助决策系统的设计原则、基本功能、结构框架和具体实现等等。
本系统是在INTERNET与INTRANET环境下,利用Oracle 8i数据库,将各种相关信息与模型结合,实现了它们之间的数据交换和通信。并利用人工智能技术,实现决策支持与预案及其他仿真计算。本系统通过网络编程技术来实现对群体性事件应急处置辅助决策系统的控制及其界面开发,并将模型计算和辅助决策的过程和结果可视化。
本系统设计着重于使用预警监测、智能诊断、敏感信息搜集、预案生成、模型生成、无缝隙连接、系统集成技术等对快速决策的支持。基本实现了防患预警、信息分发、路径规划及现场可视化仿真等功能。这些研究成果,为进一步研究开发奠定了良好的基础。
This item "mass incident emergency response Decision Support System" is a "sudden event emergency decision support system" in an embryonic form. The subject is mainly to address the mass appeal, unlawful assembly, party and government organs such as the siege disturb the normal order of production and living and office groups such as the event's rapid decision-making problems. The main task of this system through the network, to large amounts of data, information, knowledge, theories, models for extraction, refining, and make calculations, plan, implement decision support, decision-making assessment, decision-making excellent selection to generate a feasible The emergency response plan. The system can also alert the relevant departments to conduct surveillance, emergency disposal, resolve the contradictions, the situation was calm and so provide some advanced methods and means to improve the handling of mass emergency events.
This article first introduces the basic concepts of decision support systems, as well as the current of such software, the latest developments. And then focuses on incidents of group decision support system to deal with emergencies design principles, basic functions, structure, framework and the concrete implementation, etc.
This system is at the INTERNET and INTRANET environment, using Oracle 8i database, which would combine all relevant information and models to realize the data exchange between them and communications. And using artificial intelligence technology to achieve the decision-making support and plans, and other simulation. The system through the network programming techniques to achieve the right mass incidents to deal with emergencies decision support system control and interface development, and model calculations and supporting decision-making process and results visualization.
The system design focuses on the use of early warning and monitoring, intelligent diagnostics, sensitive information to collect, plan generation, model generation, seamless connectivity, system integration technology for rapid decision-making support. Basically realized a hedge against early warning, information distribution, path planning and on-site visual simulation and other functions. These findings for further research and development has laid a good foundation.
本文首先介绍了决策支持系统的基本概念,以及当前此类软件的最新进展。而后着重介绍了群体性事件应急处置辅助决策系统的设计原则、基本功能、结构框架和具体实现等等。
本系统是在INTERNET与INTRANET环境下,利用Oracle 8i数据库,将各种相关信息与模型结合,实现了它们之间的数据交换和通信。并利用人工智能技术,实现决策支持与预案及其他仿真计算。本系统通过网络编程技术来实现对群体性事件应急处置辅助决策系统的控制及其界面开发,并将模型计算和辅助决策的过程和结果可视化。
本系统设计着重于使用预警监测、智能诊断、敏感信息搜集、预案生成、模型生成、无缝隙连接、系统集成技术等对快速决策的支持。基本实现了防患预警、信息分发、路径规划及现场可视化仿真等功能。这些研究成果,为进一步研究开发奠定了良好的基础。
This item "mass incident emergency response Decision Support System" is a "sudden event emergency decision support system" in an embryonic form. The subject is mainly to address the mass appeal, unlawful assembly, party and government organs such as the siege disturb the normal order of production and living and office groups such as the event's rapid decision-making problems. The main task of this system through the network, to large amounts of data, information, knowledge, theories, models for extraction, refining, and make calculations, plan, implement decision support, decision-making assessment, decision-making excellent selection to generate a feasible The emergency response plan. The system can also alert the relevant departments to conduct surveillance, emergency disposal, resolve the contradictions, the situation was calm and so provide some advanced methods and means to improve the handling of mass emergency events.
This article first introduces the basic concepts of decision support systems, as well as the current of such software, the latest developments. And then focuses on incidents of group decision support system to deal with emergencies design principles, basic functions, structure, framework and the concrete implementation, etc.
This system is at the INTERNET and INTRANET environment, using Oracle 8i database, which would combine all relevant information and models to realize the data exchange between them and communications. And using artificial intelligence technology to achieve the decision-making support and plans, and other simulation. The system through the network programming techniques to achieve the right mass incidents to deal with emergencies decision support system control and interface development, and model calculations and supporting decision-making process and results visualization.
The system design focuses on the use of early warning and monitoring, intelligent diagnostics, sensitive information to collect, plan generation, model generation, seamless connectivity, system integration technology for rapid decision-making support. Basically realized a hedge against early warning, information distribution, path planning and on-site visual simulation and other functions. These findings for further research and development has laid a good foundation.
引文
[1]汪永红,罗军宏,张有为.决策支持系统的研究现状与发展[J].西安通信学院学报,2006年：(2)：11-13(17)
[2]扬帆,刘守义.决策支持系统之现状及发展.电脑开发与应用,2005年：第5期
[3]陈文伟.智能决策支持系统.电子工业出版社,1998年
[4]涂序彦.智能管理.清华大学出版社,1995年
[5]贾文峰.人机界面设计研究.洛阳大学学报,1999年：第14卷,第4期
[6]胡晓峰,司光亚.战略决策综合集成研讨环境SDE98的体系结构,小型微型计算机系统,1997：第20卷,第2期
[7]管玉平,高会旺,冯士.海洋生态调控智能决策支持系统的结构模型.海洋环境科学,1999年：第1期
[8]王成耀,涂序彦,周永东.基于Web的多层智能管理系统实现方法.计算机集成制造系统,2000年：第6卷,第2期
[9]金敏力,逯艳伟.基于数据仓库的决策支持系统的研究.办公自动化国际学术研讨会暨展览会论文集.1998年：98版
[10]陈文伟,黄金才,张维明.综合决策支持系统.计算机世界,1998年：第23期
[11]史忠植,李云峰,曹虎.数据仓库及其实现.计算机世界,1998年：第10期
[12]郝琪,罗卫平,彭炎午.先进制造中人机协同的重要手段——自适应人机接口.中国机械工程,1999年：第10卷,第4期
[13]王林,高国安.面向对象的IDSS模型库系统的构造.电脑与信息技术,2000年：第1期
[14]李莉,李彤,冯珊.面向决策支持系统的可视化用户界面.武汉城市建设学院学报,1998年：第15卷,第3期
[15]卓泽渊.《建立社会矛盾综合调控机制》.2010年
[16]Er M C·A summary. problems and future trends. Decision Support Systems,1998:第4期,355-363
[17]tung X. Bui. Decision support in the future tense. Decision Support System,1997:第19期,149-150
[18]Michael W, Nicholas R J. Intelligent agents:theory and practice, Knowledge Engineering Review,1995:第10卷,第2期,115～152
[19]Lajos Balint. Adaptive Human-computer Interfaces for Man-machine Interaction in Computer-integrated Systems. Computer Integrated Manufacturing System,1995:第8卷,第2期,133～142
[20]U. Fayyad, G.Piatetsky-Shapiro, P.Smyth. From Data Mining to Knowledge Discovery in Databases[M], AAAI Press,1996
[21]Chuang Ta-Tao. The development of an adaptive decision support system[J]. Decision Support Systems,1998:第24期,73～87
[22]Elofson G, Beranek P M.Thomas P · An Intelligent Agent Community Approach to Knowledge Sharing. Decision Support Systems,1997:第20卷,第1期,83～97
[23]Terry Moriarty。 Modeling Data Warehouse. Database Programming and Design,1996
[24]P. Sukaviriya. From User Interface to the Support of Intelligent and Adaptive Interface. Knowledge Based System,1995:第四期,220-229
[25]Sarabjob S A nand, Bryan W Scotney.Designing a Kernel for Data Mining. IEEE Expert Intelligent Systems and Their Applications,1997:第3期
[26]Ohsuga A,Nagai Y,Iree Y T,Hattorl M,Honiden S. Plangent·an approach to making mobile agents intelligent, IEEE INTERNET COMPUTING,1997：第7期,50-57
[27]Heng Li. Case-Based Reasoning for Intelligent Support of Construction Negotiation, Information & Management,1995:第30期,231～238
[2]扬帆,刘守义.决策支持系统之现状及发展.电脑开发与应用,2005年：第5期
[3]陈文伟.智能决策支持系统.电子工业出版社,1998年
[4]涂序彦.智能管理.清华大学出版社,1995年
[5]贾文峰.人机界面设计研究.洛阳大学学报,1999年：第14卷,第4期
[6]胡晓峰,司光亚.战略决策综合集成研讨环境SDE98的体系结构,小型微型计算机系统,1997：第20卷,第2期
[7]管玉平,高会旺,冯士.海洋生态调控智能决策支持系统的结构模型.海洋环境科学,1999年：第1期
[8]王成耀,涂序彦,周永东.基于Web的多层智能管理系统实现方法.计算机集成制造系统,2000年：第6卷,第2期
[9]金敏力,逯艳伟.基于数据仓库的决策支持系统的研究.办公自动化国际学术研讨会暨展览会论文集.1998年：98版
[10]陈文伟,黄金才,张维明.综合决策支持系统.计算机世界,1998年：第23期
[11]史忠植,李云峰,曹虎.数据仓库及其实现.计算机世界,1998年：第10期
[12]郝琪,罗卫平,彭炎午.先进制造中人机协同的重要手段——自适应人机接口.中国机械工程,1999年：第10卷,第4期
[13]王林,高国安.面向对象的IDSS模型库系统的构造.电脑与信息技术,2000年：第1期
[14]李莉,李彤,冯珊.面向决策支持系统的可视化用户界面.武汉城市建设学院学报,1998年：第15卷,第3期
[15]卓泽渊.《建立社会矛盾综合调控机制》.2010年
[16]Er M C·A summary. problems and future trends. Decision Support Systems,1998:第4期,355-363
[17]tung X. Bui. Decision support in the future tense. Decision Support System,1997:第19期,149-150
[18]Michael W, Nicholas R J. Intelligent agents:theory and practice, Knowledge Engineering Review,1995:第10卷,第2期,115～152
[19]Lajos Balint. Adaptive Human-computer Interfaces for Man-machine Interaction in Computer-integrated Systems. Computer Integrated Manufacturing System,1995:第8卷,第2期,133～142
[20]U. Fayyad, G.Piatetsky-Shapiro, P.Smyth. From Data Mining to Knowledge Discovery in Databases[M], AAAI Press,1996
[21]Chuang Ta-Tao. The development of an adaptive decision support system[J]. Decision Support Systems,1998:第24期,73～87
[22]Elofson G, Beranek P M.Thomas P · An Intelligent Agent Community Approach to Knowledge Sharing. Decision Support Systems,1997:第20卷,第1期,83～97
[23]Terry Moriarty。 Modeling Data Warehouse. Database Programming and Design,1996
[24]P. Sukaviriya. From User Interface to the Support of Intelligent and Adaptive Interface. Knowledge Based System,1995:第四期,220-229
[25]Sarabjob S A nand, Bryan W Scotney.Designing a Kernel for Data Mining. IEEE Expert Intelligent Systems and Their Applications,1997:第3期
[26]Ohsuga A,Nagai Y,Iree Y T,Hattorl M,Honiden S. Plangent·an approach to making mobile agents intelligent, IEEE INTERNET COMPUTING,1997：第7期,50-57
[27]Heng Li. Case-Based Reasoning for Intelligent Support of Construction Negotiation, Information & Management,1995:第30期,231～238