基于加权最小二乘法的供水管网节点流量校核
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

"十二五"国家科技支撑计划(2012BAJ25B06);昆明理工大学人才科研启动基金(14008943)


Nodal demand calibration of water distribution system using the weighted least squares method
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    管网水力模型是实现供水系统现代化管理的重要工具,要使水力模型能比较准确地反映管网真实运行状态,达到预期使用目的,其中的参数需要校核。将管网节点流量校核作为优化问题,采用加权最小二乘法逐步迭代求解,与已有研究相比,采用矩阵分析法推导供水管网雅克比矩阵解析式,引入水量分配矩阵聚合节点流量,将欠定问题转化为超定,提高了校核的计算效率和结果的可靠性。采用简单管网阐明了雅克比矩阵的计算、节点流量的聚合及梯度向量的构造,利用实际管网验证了方法的实用性。

    Abstract:

    Hydraulic model of water distribution systems (WDSs) is an essential tool to realize modernization management of WDSs. To make the model capable of reflecting the system's behavior with reasonable accuracy and achieving intended purposes, the parameters in it should be calibrated. The nodal demand calibration of WDS models is formulated as a nonlinear optimization problem, which is then solved iteratively using weighted least squares method. Comparing to previous studies, the proposed method deduces the analytical solution of Jacobian matrix of WDSs based on matrix analysis method, and translates the under-determined problem to over-determined by aggregating the nodal demand using demand allocation matrix, such that the computational efficiency and the reliability of calibration results were improved. A simple network is used to illustrate the computation of Jacobian matrix, the construction of gradient vectors and the aggregation of nodal demand. The practicability of the method is further validated by a real network.

    参考文献
    相似文献
    引证文献
引用本文

范江,杜坤,周明,徐冰峰,龙天渝.基于加权最小二乘法的供水管网节点流量校核[J].土木与环境工程学报(中英文),2016,38(3):73-79. Fan Jiang, Du kun, Zhou Ming, Xu Bingfeng, Long Tianyu. Nodal demand calibration of water distribution system using the weighted least squares method[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2016,38(3):73-79.10.11835/j. issn.1674-4764.2016.03.011

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-08-02
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2016-06-27
  • 出版日期: