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Urban rainwater drainage system automatic optimization method based on SWMM and MATLAB

A drainage system and automatic optimization technology, applied in design optimization/simulation, geometric CAD, program loading/starting, etc., can solve problems such as the inability to guarantee the optimal solution, cumbersome and complicated manual modification and input

Active Publication Date: 2021-07-30
XIAN UNIV OF TECH +1
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a SWMM-based rainwater pipe network and LID facility optimization method, which solves the problems in the prior art that rely too much on the actual experience of designers and cannot guarantee to find the optimal solution, and the manual modification and input are cumbersome and complicated.

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  • Urban rainwater drainage system automatic optimization method based on SWMM and MATLAB
  • Urban rainwater drainage system automatic optimization method based on SWMM and MATLAB
  • Urban rainwater drainage system automatic optimization method based on SWMM and MATLAB

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Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0049] Automatic optimization method of urban rainwater drainage system based on SWMM and MATLAB, such as figure 1 As shown, firstly, according to the basic data, the SWMM block model of the research area is built, and the model input file in inp format is generated; through the secondary development of SWMM, after writing the interface function, a DLL format file is generated in the VS2013 editor for use in MATLAB Call; again use MATLAB programming to realize the coupling of the particle swarm optimization algorithm and SWMM; finally, through the iterative optimization of the particle swarm algorithm, find the optimal design scheme that minimizes the overflow of the nodes in the study area, and realize the process of automatic optimization of the urban rainwater drainage system.

[0050] Specific steps are as follows:

[0051] Step 1. Compl...

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Abstract

The invention discloses a city rainwater drainage system automatic optimization method based on SWMM and MATLAB, and the method comprises the steps: firstly completing the building of a research region SWMM plot model according to basic data, and generating a model input file in an inp format; performing secondary development on the SWMM, and after an interface function is written in, generating a DLL format file in a VS2013 editor and used for MATLAB calling; using MATLAB programming again to realize the coupling of the particle swarm optimization algorithm and the SWMM; and finally, performing iterative optimization through a particle swarm algorithm, finding an optimization design scheme enabling the node overflow amount of the research area to be minimum, and achieving automatic optimization of the urban rainwater drainage system. According to the method, software programming is used for replacing manual input, an optimization algorithm is used for replacing manual self-simulation of an optimization scene, and the LID facility and the rainwater pipe network are optimized at the same time, so that the optimal solution can be quickly and accurately found, and the optimization integrity can be considered.

Description

technical field [0001] The invention belongs to the technical field of layout optimization of urban rainwater pipe networks and LID facilities, and relates to an automatic optimization method for urban rainwater drainage systems based on SWMM and MATLAB. Background technique [0002] In recent years, with the rapid development of cities, the hardening rate of the underlying surface has increased rapidly, and the phenomenon of urban "waterlogging" has become more and more serious. Sponge cities provide an effective way to alleviate urban waterlogging. Regardless of whether it is for new urban planning or the renovation of old urban areas, there are still problems in the formulation and optimization of schemes. At present, numerical models are mostly used for related optimization research. However, these optimization studies mainly use the scenario analysis method, through self-drawing several optimization schemes, combined with model calculations, and selecting a better optim...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06F30/27G06F30/28G06N3/00G06F9/445G06F8/30G06F113/08G06F113/14G06F119/14
CPCG06F30/18G06F30/27G06F30/28G06N3/006G06F9/44521G06F8/315G06F2113/14G06F2113/08G06F2119/14
Inventor 杜颖恩侯精明李轩高徐军杨霄郭敏鹏杨少雄张文晴周思敏龚佳辉张兆安
Owner XIAN UNIV OF TECH
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