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基于不确定性分析的供水管网压力监测点优化布置

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针对现有供水管网压力监测点布置中产生的异参同效问题,基于正态分布利用蒙特卡罗随机抽样法分析管网节点需水量的不确定性,引入节点压力波动系数,讨论节点需水量的随机性对供水管网全局的影响,结合节点水压灵敏度,解决供水管网压力监测点布置中存在的异参同效问题.以华东某城区供水管网为例,结合水压相关性与水压灵敏性构建模型,采用蝙蝠算法求解,获得测压点布置方案.以稳态水力模型的节点需水量初始值为基准进行 20 000 次随机抽样,应用抽样值进行模拟,计算节点压力波动系数与节点灵敏度,确定最优方案,解决异参同效问题,为供水管网压力监测点布置方案的选取提供了新思路.
Optimization Arrangement of Pressure Monitoring Points in Water Supply Network Based on Uncertainty Analysis
Aiming at the problem of equifinality for different parameters arising from the arrangement of pressure monitoring points in the existing water supply network,the uncertainty of node water demand was analyzed using the Monte Carlo random sampling method based on the normal distribution.This paper introduced the node pressure fluctua-tion coefficient to discusse the influence of node water demand on the overall water supply network.The node water pres-sure sensitivity was used to solve the equifinality for different parameters problem in the layout of pressure monitoring points in the pipe network.By combining water pressure correlation and sensitivity,a model of the water supply pipe net-work in an urban area of East China was established.The bat algorithm was used to solve the model,and the layout scheme for the pressure monitoring point was obtained.Based on the initial value of the steady-state hydraulic model's node water demand,random sampling was conducted.The sampled value was then used for simulation,repeated 20,000 times,and the results were analyzed to find the best strategy and resolve the equifinality for different parameter prob-lems,which provides a new idea for determining the optimal positioning of pressure monitoring points in a water supply pipe network.

uncertainty analysispressure monitoring pointsequifinality for different parametersnodal water de-mandMonte Carlo random sampling methodsensitivity analysis

冯鹏、吕谋、董深、王永康

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青岛理工大学环境与市政工程学院, 山东 青岛 266520

不确定性分析 压力监测点 异参同效 节点需水量 蒙特卡罗随机抽样法 灵敏性分析

国家自然科学基金项目山东省重点研发项目

51770831642019GSF111003

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(3)
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