人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
都市水系ネットワークの対象モデルを持ったリスク評価支援知識システム
前田 恭伸池田 三郎
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解説誌・一般情報誌 フリー

1992 年 7 巻 2 号 p. 271-279

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This paper is concerned with the construction of a knowledge system for "Risk Assessment and Risk COMmunication (RARCOM)". Such a system deals with health risks associated with drinking water contaminated by various hazardous materials in the Tokyo metropolitan area. In order to evaluate where and how much health risks associated with drinking water are distributed, we use the "Object Model" that describes the structure and the behavior of an urban water network. This object model is represented as a "component-conduit model", in which the structure of the object is represented as a "device topology" of a network of components and conduits, the behavior of which is defined as a set of behaviors, wherein the hydrological, bio-chemical and technical reactions and treatments of each components are included. Since the risk problem in an urban water network is related to multiple domain knowledge, it is insufficient to describe the object model of the urban water network using only a single ontological scheme. Thus this system employs a multiple ontological scheme for mapping the real system of urban water network onto the component-conduit model of the object. Using the object model of urban water network, RARCOM can assess the magnitude and the distribution of risks under various situations that are presented by various "what-if" scenarios.

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© 1992 人工知能学会
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