[1]张娇[],赵颖[].融合案例与模糊推理的供水管网事故检测[J].计算机技术与发展,2016,26(01):167-170.
　ZHANG Jiao[],ZHAO Ying[]. Incident Detection for Water Supply Network Based on Case-based Reasoning and Fuzzy-based Reasoning[J].,2016,26(01):167-170.
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融合案例与模糊推理的供水管网事故检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
167-170
栏目:
应用开发研究
出版日期:
2016-01-10

文章信息/Info

Title:
 Incident Detection for Water Supply Network Based on Case-based Reasoning and Fuzzy-based Reasoning
文章编号:
1673-629X（2016)01-0167-04
作者:
 张娇[1] ; 赵颖[2]
 1.渤海大学 信息科学与技术学院；2.辽宁工业大学 计算机中心
Author(s):
 ZHANG Jiao[1] ; ZHAO Ying[2]
关键词:
 ; 案例推理; 模糊推理; 供水管网; 事故检测
Keywords:
 ; case-based reasoning; fuzzy-based reasoning; water supply network; incident detection
分类号:
TP31
文献标志码:
A
摘要:
 针对城市供水管网事故频繁发生的现状，文中基于案例推理和模糊推理展开研究，为事故检测提供理论与方法。首先，构造事故检测模型，采用负压波法检测故障是否发生以及定位故障点位置；然后，研究案例推理，利用 K -均值和相似度算法计算目标案例与源案例之间的相似程度；接着，研究模糊推理，包括模糊推理基本形式以及推理方法；最后，提出一种融合案例推理和模糊推理的新推理机制进行供水管网事故检测。文中的研究内容有助于供水管网的维护及正常运行。
Abstract:
 The research based on case-based reasoning and fuzzy-based reasoning provides the theory and method for the incident detec-tion,aiming at the current situation in which incidents often occur frequently. Firstly,the incident detection model was constructed and the negative pressure wave method was used to detect incident and locate the incident point. Secondly,case-based reasoning is researched,u-sing K -means and similarity algorithm to calculate the degree of similarity between target case and source case. Then,the fuzzy-based reasoning was researched,including its basic form and some reasoning methods. Finally,a new reasoning mechanism composed by case-based reasoning and fuzzy-based reasoning was proposed to detect accidents. Contents proposed in this paper will be helpful to maintain the water supply network as well as normal operation.

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更新日期/Last Update: 2016-04-13