|本期目录/Table of Contents|

[1]孙殿阁,孙佳,曹婧华,等.基于案例推理的城市典型灾害应急处置专家系统构建研究[J].中国安全生产科学技术,2012,8(2):55.
　SUN Dian ge,SUN Jia,CAO Jing hua,et al.Study on expert system of urban typical disaster emergency handling based on case reasoning[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(2):55.
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基于案例推理的城市典型灾害应急处置专家系统构建研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
8
期数:
2012年2期
页码:
55
栏目:
学术论著
出版日期:
2012-02-29

文章信息/Info

Title:
Study on expert system of urban typical disaster emergency handling based on case reasoning
作者:
孙殿阁1 ;  孙佳2 ; 曹婧华3;  孟燕华1;  张禹4
1中国劳动关系学院安全工程系，北京 100048)(2中国民航管理干部学院航空安全系，北京 100102)(3吉林大学农学部计算机教研室，长春 130062)(4中环冶金总公司，北京 100029
Author(s):
SUN Diange1;  SUN Jia 2 ; CAO Jinghua3;  MENG Yanhua1 ;  ZHANG Yu4
1Department of Safety Engineering，China Institute of Industrial Relations ，Beijing 100048，China) (2Department of Aviation Safety Management，Civil Aviation Management Institute of China，Beijing 100102，China)(3Helping Campus JilinUniversity，Changchun 130062，China)(4Environment & Metallurgy Corporation of China，Beijing 100029，China
关键词:
城市灾害; 应急救援; CLIPS专家系统; 案例推理
Keywords:
urban disaster;  emergency rescue; CLIPS expert system;  case reasoning
分类号:
X915.5
DOI:
-
文献标志码:
A
摘要:
全球自然灾害频发、强度不断增强，且城市化进程飞速发展，其所带来的相关城市灾害风险与日俱增。在重视灾害预报、预警的同时，城市灾害应急处置工作的有效组织与开展，亦是至关重要。把人工智能和城市灾害学知识相结合，通过构建灾害应急处置专家系统来解决该问题是目前的一个研究方向。本文运用案例推理等人工智能领域知识进行相关问题研究，阐述了如何对典型城市灾害案例进行知识化存储处理，给出了典型城市灾害分类推理规则和应急救援案例匹配计算方法。最后，利用VC++和CLIPS相结合，构建了基于案例决策的城市灾害应急处置专家系统。通过研究，充分验证了该模型方法的可行性，对于提高城市应急处置能力具有很好的现实意义。
Abstract:
The global natural disaster is the most frequent problems, the intensity strengthens unceasingly, and with the development of urbanization, it brings the more related urban disaster risk day by day. Although it attachs important to the disaster predict and early warning, the effective organization and the development of urban disaster emergency rescue effort are also essential. Combinining the artificial intelligence and the urban disaster science knowledge, through the construction of disaster emergency handling expert system is a present research direction. In this article the case reasoning of artificial intelligence domain knowledge was applied to conduct the related research, and how to carry on knowledgebased memory processing to the typical urban disaster case was elaborated, the classification reasoring rules and the computational method of emergency recovery case matching of typical urban disaster were provided. Finally, using VC++ and CLIPS, the typical urban disaster emergency handling expert system of based on the case decisionmaking was established. Through the research, it was confirmed the feasibility of this model method, and it has a very good practical significance to raise the urban emergency recovery capobility.

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2012-03-28