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Optimum layout method aiming at pressure monitoring points of water supply pipe network
The invention discloses an optimum layout method aiming at pressure monitoring points of a water supply pipe network. The method comprises the steps of building a leakage probability model; acquiringthe leakage probability of each node by calculation according to the leakage probability model, and performing pipe network leakage simulation on water demand nodes of which the leakage probability isgreater than a preset value by employing pipe network adjustment software EPANET to obtain pressure data Hi of each node of the pipe network within 24 h under the condition of leakage; performing hydraulic simulation calculation under the normal condition on the pipe network data by employing the pipe network adjustment software EPANET to obtain pressure data Hi' of each node of the pipe networkwithin 24 h; calculating a pressure-sensitivity matrix, and performing standard deviation standardization and extreme value standardization on the matrix in sequence to obtain the sensitivity of eachnode to leakage; and performing a non-dominated sorting genetic algorithm-II (NSGAII) dual-objective iterative optimization, and performing iteration by taking the threshold range of the sensitivity as the standard of monitoring point covering leakage events and taking the number of minimized monitoring points and the number of minimized uncovering leakage events as objectives to obtain a set of Pareto optimum solutions, i.e., optimum distribution corresponding to number of different monitoring points.
本发明公开了一种针对供水管网的压力监测点优化布置方法,包括:构建漏损概率模型;根据漏损概率模型,计算得到各节点漏损概率,采用管网平差软件EPANET对漏损概率大于预设值的需水节点进行管网漏损模拟,得到一天24h内管网各节点在漏损条件下的压力数据H;采用管网平差软件EPANET对管网数据进行正常工况下的水力模拟计算,得到一天24h内管网各节点压力数据H′;计算压力灵敏度矩阵,对矩阵依次进行标准差标准化和极值标准化,获取每个节点对漏损的敏感度;进行NSGAII双目标迭代优化,敏感度的阈值范围作为监测点覆盖漏损事件的标准,以最小化监测点数量和最小化未被覆盖漏损事件个数为目标,迭代得到一组Pareto最优解,即不同监测点数量对应的最优分布。
Optimum layout method aiming at pressure monitoring points of water supply pipe network
The invention discloses an optimum layout method aiming at pressure monitoring points of a water supply pipe network. The method comprises the steps of building a leakage probability model; acquiringthe leakage probability of each node by calculation according to the leakage probability model, and performing pipe network leakage simulation on water demand nodes of which the leakage probability isgreater than a preset value by employing pipe network adjustment software EPANET to obtain pressure data Hi of each node of the pipe network within 24 h under the condition of leakage; performing hydraulic simulation calculation under the normal condition on the pipe network data by employing the pipe network adjustment software EPANET to obtain pressure data Hi' of each node of the pipe networkwithin 24 h; calculating a pressure-sensitivity matrix, and performing standard deviation standardization and extreme value standardization on the matrix in sequence to obtain the sensitivity of eachnode to leakage; and performing a non-dominated sorting genetic algorithm-II (NSGAII) dual-objective iterative optimization, and performing iteration by taking the threshold range of the sensitivity as the standard of monitoring point covering leakage events and taking the number of minimized monitoring points and the number of minimized uncovering leakage events as objectives to obtain a set of Pareto optimum solutions, i.e., optimum distribution corresponding to number of different monitoring points.
本发明公开了一种针对供水管网的压力监测点优化布置方法,包括:构建漏损概率模型;根据漏损概率模型,计算得到各节点漏损概率,采用管网平差软件EPANET对漏损概率大于预设值的需水节点进行管网漏损模拟,得到一天24h内管网各节点在漏损条件下的压力数据H;采用管网平差软件EPANET对管网数据进行正常工况下的水力模拟计算,得到一天24h内管网各节点压力数据H′;计算压力灵敏度矩阵,对矩阵依次进行标准差标准化和极值标准化,获取每个节点对漏损的敏感度;进行NSGAII双目标迭代优化,敏感度的阈值范围作为监测点覆盖漏损事件的标准,以最小化监测点数量和最小化未被覆盖漏损事件个数为目标,迭代得到一组Pareto最优解,即不同监测点数量对应的最优分布。
Optimum layout method aiming at pressure monitoring points of water supply pipe network
一种针对供水管网的压力监测点优化布置方法
ZENG WEN (Autor:in) / YANG ZHIJIANG (Autor:in) / WANG HUIMIN (Autor:in)
08.05.2020
Patent
Elektronische Ressource
Chinesisch
IPC:
E03B
Anlagen oder Verfahren zum Gewinnen, Sammeln oder Verteilen von Wasser
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