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作 者:李维轲 蒋白懿[1] 牟天蔚 张蕊[3] Li Weike;Jiang Baiyi;Mu Tianwei;Zhang Rui(School of Municipal and Environmental Engineering,Shenyang Jianzhu University,Shenyang Liaoning 110168,China;School of Architecture and Civil Engineering,Shenyang University of Technology,Shenyang Liaoning 110870,China;School of Infrastructure Engineering,Dalian University of Technology,Dalian Liaoning 116024,China)
机构地区:[1]沈阳建筑大学市政与环境工程学院,辽宁沈阳110168 [2]沈阳工业大学建筑与土木工程学院,辽宁沈阳110870 [3]大连理工大学建设工程学院,辽宁大连116024
出 处:《山西建筑》2025年第7期100-104,共5页Shanxi Architecture
基 金:辽宁省教育厅基金项目:数字孪生驱动的供水管网全局韧性评估模型及动态模拟研究(项目编号:202464252-1)。
摘 要:文章提出了一种基于GraphSAGE算法的供水管网压力监测点布置优化方法,利用GraphSAGE算法对管网节点进行特征表示,以准确提取节点间的拓扑关系及其属性特征,结合非支配排序遗传算法-Ⅱ(NSGA-Ⅱ),以优化未监测节点数量和布置成本为目标,建立多目标优化模型,确定监测点的最优布置方案。以Q市某供水区域为例进行验证,经过优化后,所得到的多个方案相比经验法布置的原始方案,在总成本和未监测节点数量方面均取得了显著改进,不仅有效降低了布置成本,还显著提高了监测区域的覆盖度。研究结果为供水管网监测系统的优化提供了新的思路和方法。This paper proposes an optimization method for the layout of pressure monitoring points in water supply networks based on the GraphSAGE algorithm.The GraphSAGE algorithm is utilized to represent the features of network nodes,accurately extracting the topological relationships and attribute features between nodes.Combined with the Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ),a multi-objective optimization model is established with the goals of minimizing unmonitored node counts and layout costs,thereby determining the optimal placement of monitoring points.Taking a water supply area in Q city as an example,the optimized solutions demonstrate significant improvements compared to the original solution based on empirical methods,with notable reductions in total cost and unmonitored node count.The approach not only effectively reduces layout costs but also substantially increases the coverage of monitored areas.The results provide new insights and methodologies for optimizing monitoring systems in water supply networks.
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