张卉
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所属单位:环境与市政工程学院
发表刊物:Advanced Materials Research
关键字:中文关键字:供水管网;爆管检测;状态模拟;事故预警,英文关键字:Water Distribution Network; Burst Detection;State
摘要:Based on the improved weighted-least-square model and fuzzy similarity ratio method, a methodology is proposed to detect pipe bursts in real-time. When SCADA data is obtained DFP algorithm is used to get the real network state. Then the real values of burst characteristics are computed. And the hypothetical values assuming each pipe as the accident pipe are calculated for comparison. The fuzzy similarity ratio method is used to judge whether there is a pipe burst. If there is, the hypothetical value that is most similar to the real value is the accidental state and the corresponding assumed break is the burst location. According to the methodology a software system is developed with Delphi 7 for verification. The running results of a designed network show that the methodology is reliable and its detection accuracy is over 45%.
备注:张卉
合写作者:曹梅花
第一作者:徐金兰,黄廷林,张卉
论文类型:期刊论文
卷号:卷:
期号:期:
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是否译文:否
发表时间:2014-10-01