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面向核应急响应的S-BOX集成模型
引用本文:谢天,周晓东,王铁骊,刘文君,陈建华,管河山,李鹏程.面向核应急响应的S-BOX集成模型[J].中国安全生产科学技术,2015,11(1):22-27.
作者姓名:谢天  周晓东  王铁骊  刘文君  陈建华  管河山  李鹏程
作者单位:(南华大学 经济管理学院,湖南衡阳421001)
基金项目:教育部青年课题,湖南省自然科学基金青年课题(2015JJ3107)湖南省教育厅课题,南华大学博士启动基金,国家社会科学基金青年项目,国家自然科学基金课题,国家自然科学青年基金项目,南华大学管理科学与工程省重点学科支持
摘    要:核事故引发的应急任务往往需要集成多个部门应急资源和能力来协同响应。这些海量核应急信息、知识汇聚于网络,其固有异构性限制了跨部门核应急集成的能力。为解决此问题,基于语义X列表理论提出核应急集成框架;以“事件-任务-资源”为主线构建本体结构列表和集成推理规则;给出假定核事故场景和资源、任务信息,搭建S-BOX模型和响应决策推理实验,验证了本方法可有效表达异构核应急信息与知识,实现按需集成。

关 键 词:语义X列表  核应急  响应  集成

Study on S-BOX integration model for nuclear emergency response
XIE Tian,ZHOU Xiao-dong,WANG Tie-li,LIU Wen-jun,CHEN Jian-hua,GUAN He-shan,LI Peng-cheng.Study on S-BOX integration model for nuclear emergency response[J].Journal of Safety Science and Technology,2015,11(1):22-27.
Authors:XIE Tian  ZHOU Xiao-dong  WANG Tie-li  LIU Wen-jun  CHEN Jian-hua  GUAN He-shan  LI Peng-cheng
Institution:(School of Economics & Management, University of South China, Hengyang Hunan 421001, China)
Abstract:In most cases, the emergency resources and capacities of the relevant social departments should be integrated to response the nuclear emergencies. However, because of the inherent heterogeneity of the huge nuclear emergency information and knowledge which are gathered into the network, the capability of nuclear emergency integration is limited. To solve this problem, in this paper, firstly, the integration framework of nuclear emergency was proposed based on the semantic bills of X model. Secondly, the ontology structure bills and integrated reasoning rules were constructed with "event- task- resource" as main thread. Furthermore, with a fictive nuclear emergency scenario and the initial information of emergency resources and tasks, the S-BOX model was constructed. Finally, with a reasoning experiment on response decision, it was validated that this method can effectively express the heterogeneous nuclear emergency information and knowledge, so as to achieve integration according to need.
Keywords:semantic bills of X  nuclear emergency management  response  integration
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