一种基于供水管道管壁分层结构及自动校准的铁浓度预测方法
By constructing a method for predicting iron concentration based on the layered structure of water supply pipeline walls, and combining it with three-stage differential evolution calibration, the problem of inaccurate iron concentration prediction in complex pipe networks was solved, achieving efficient and robust prediction of the spatiotemporal distribution of iron concentration, thus improving drinking water safety.
CN122263689BActive Publication Date: 2026-07-17TSINGHUA SHENZHEN INTERNATIONAL GRADUATE SCHOOL
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TSINGHUA SHENZHEN INTERNATIONAL GRADUATE SCHOOL
- Filing Date
- 2026-05-27
- Publication Date
- 2026-07-17
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Abstract
一种基于供水管道管壁分层结构及自动校准的铁浓度预测方法，包括：集成管道水力模型、铁浓度释放模型及微观电镜分层观测结果，构建管网铁浓度分层多物种反应模型，模拟铁离子在腐蚀基层、疏松多孔层、硬壳层和表面层间的迁移转化；构建多目标综合误差函数，用于评估模拟结果与观测数据的差异；执行三阶段差分进化校准：以该模型为水质模拟引擎，以综合误差函数为优化目标，通过迭代方式优化模型参数；第一阶段全局搜索定位优势区域，第二阶段局部优化，第三阶段精细调优，并每阶段结束后基于最优解和边界收紧系数动态收缩后续参数搜索边界；输出铁浓度时空分布预测。本发明的方法实现了复杂管网铁浓度的高精度预测与模型参数的高效自动校准。
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