XIEZi-teng,WANGPu,WANGFeng-qing,et al.Optimization and Application of Pipe Network Monitoring Point Location Based on Comprehensive Safety Evaluation[J].China Water & Wastewater,2023,39(23):59-67.
基于安全综合评价的管网监测点选址优化及应用
- Title:
- Optimization and Application of Pipe Network Monitoring Point Location Based on Comprehensive Safety Evaluation
- Keywords:
- water supply network; monitoring point location; comprehensive safety evaluation; fuzzy analytic hierarchy process; multi-objective optimization
- 摘要:
- 城市供水面临水力、水质等多种安全风险威胁,仅考虑单一风险因素的管网监测点布置方案具有一定的局限性。因此,在综合考虑影响供水安全的水力、水质等多种潜在风险的基础上,利用模糊层次分析法建立了供水安全综合评价体系,并形成了节点安全风险指数,同时建立以节点覆盖安全风险指数最大、节点覆盖水量最大、监测点数量占比最小为目标函数的监测点选址多目标优化模型。以重庆某典型山地城市管网为例,通过EPANET 2.0软件构建管网水力水质模型,并运用NSGA-Ⅱ算法对多目标数学模型进行求解分析,结果表明基于安全综合评价的管网监测点布置优化模型能有效挖掘管网各类安全风险信息,覆盖高安全风险节点,得到的监测点分布较为均匀,可为城市供水管网监测点布置提供参考。
- Abstract:
- Urban water supply faces many safety risks such as hydraulic safety risk and water quality safety risk, and the arrangement scheme of pipe network monitoring points considering only a single risk factor has certain limitations. Based on comprehensive consideration of various potential risks such as hydraulic condition and water quality that affect water supply safety, a system for comprehensive evaluation of water supply safety was established to form a node safety risk index by using fuzzy analytic hierarchy process, and a multi-objective optimization model of monitoring point location was established, which took the maximum node coverage security risk index, the maximum node coverage water quantity and the minimum number of monitoring points as the objective functions. The hydraulic and water quality model of pipe network in a typical mountainous city, Chongqing was constructed by EPANET 2.0 software, and the multi-objective mathematical model was solved and analyzed by NSGA-Ⅱ algorithm. The optimization model of pipe network monitoring point arrangement based on comprehensive safety evaluation was capable of effectively exploring all kinds of safety risk information, covering high-safety risk nodes, and obtaining a more uniform distribution of monitoring points, which could provide reference for the monitoring point arrangement of urban water supply network.
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