ZhouYangjun,LiYufei,LiuJinlong.Application of Adaptive Inertia Weight PSO Algorithm in Defect Localization of Sewer Network[J].China Water & Wastewater,2026,42(16):21-26.
自适应惯性权重PSO算法用于污水管网缺陷定位
- Title:
- Application of Adaptive Inertia Weight PSO Algorithm in Defect Localization of Sewer Network
- 关键词:
- 污水系统; 污水管网缺陷诊断识别方法; 双阶段寻优定位改进模型; 流量监测数据; 暴雨洪水管理模型
- Keywords:
- sewage system; sewer network defect diagnosis and identification methods; dual-stage optimization localization improved model; flow monitoring data; SWMM
- 摘要:
- 以南方某城市污水系统为例，提出一种基于管段流量监测和寻优定位模型的污水管网破损识别定位方法，对污水管网节点的地下水入渗量进行反演，实现管网破损点定位诊断。通过暴雨洪水管理模型（SWMM）的二次开发，以目标管段模拟流量与实测流量的误差为目标函数，耦合自适应惯性权重的粒子群优化（PSO）算法，寻找最适配的节点地下水入渗方案，实现有限管段流量监测下的污水管网破损点定位诊断。采用6个点位的流量模拟值与监测值的均方根误差（RMSE）进行验证，6个验证点的RMSE值均小于0.5 m3/s，相对误差控制在合理范围内，验证了反演结果的准确性与可靠性。该方法在有限监测条件下实现了管网破损点的有效定位诊断，为污水管网日常运维与风险排查提供了新的技术路径。
- Abstract:
- Taking a municipal sewage system in a city in southern China as an example, this study proposed a method for identifying and locating pipe network damage based on flow monitoring data and an optimization-based localization model. The approach involved inverting the groundwater infiltration volume at sewer nodes to diagnose the locations of pipe defects. By performing secondary development on the SWMM model, the error between the simulated and measured flows at the target pipe is set as the objective function. An adaptive inertia-weight particle swarm optimization (PSO) algorithm is coupled to search for the most appropriate scheme of nodal groundwater infiltration, thereby enabling the localization and diagnosis of pipe network defects under limited flow monitoring conditions. The accuracy and reliability of the inversion results are validated using the root mean square error (RMSE) between simulated and measured flow values at six monitoring points. The RMSE values for all six validation points are below 0.5 m3/s, and the relative errors are maintained within a reasonable range, confirming the accuracy and reliability of the inversion results. The proposed method achieved effective diagnostic localization of pipe defects under limited monitoring conditions, offering a new technical pathway for the routine operation, maintenance, and risk screening of sewage systems.
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