摘要
为分析管道因素与供水管网漏损之间的关系,统计了福州老仓山供水片区2017—2020年的维修记录,选取了管道位置、管材、管径、管龄和埋深作为管道因素进行专家评分和构造评判矩阵,建立了基于老仓山区修复数据为基础的模糊数学模型。结果可知老仓山区管道因子权重为{0.41940.26460.16100.09790.0570},对于某管段可根据其现状进行模糊变换,从而实现对任一管段进行漏损可能性评估。
In order to analyze the relationship between pipeline factors and water supply network leakage,the maintenance records of Cangshan water supply area in Fuzhou from 2017 to 2020 were counted.The location,pipe material,pipe diameter,pipe age and buried depth of the pipeline were selected as the pipeline factors,and the expert scoring and evaluation matrix were constructed.The fuzzy mathematics model based on the repair data of the Cangshan District was established.The results show that the weight of pipeline factor in Cangshan District is(0.4194,0.2646,0.1610,0.0979 and 0.0570).For a certain pipeline section,the fuzzy transformation can be carried out according to its current situation,so as to realize the possibility assessment of leakage for any pipeline section.
作者
许兴中
XU Xingzhong(College of Environmental Science and Engineering,Tongji University,Shanghai 200092,China;Fuzhou Water Supply Co.,Ltd.,Fuzhou 350001,Fujian Province,China)
出处
《天津科技》
2022年第6期85-88,共4页
Tianjin Science & Technology
基金
福建省住建厅科研项目“基于窄带物联网技术的分区计量管理研究及实践——福州老仓山片区”(2017-K-54)。
关键词
模糊数学
管网漏损
风险评估
fuzzy mathematics
pipe network leakage
risk assessment
