Automatic optimization method of urban rainwater drainage system based on swmm and matlab

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

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

CN113190944BActive Publication Date: 2022-04-22XIAN UNIV OF TECH +1

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  • Automatic optimization method of urban rainwater drainage system based on swmm and matlab
  • Automatic optimization method of urban rainwater drainage system based on swmm and matlab
  • Automatic optimization method of urban rainwater drainage system 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 an automatic optimization method for urban rainwater drainage system based on SWMM and MATLAB. Firstly, the SWMM block model of the research area is built according to the basic data, and a model input file in inp format is generated; through secondary development of SWMM, the interface function is written Finally, a DLL format file was generated in the VS2013 editor to be called by MATLAB; the coupling of the particle swarm optimization algorithm and SWMM was realized by MATLAB programming again; finally, the optimal design scheme that minimized the node overflow in the research area was found through the iterative optimization of the particle swarm optimization algorithm , to realize the automatic optimization of urban rainwater drainage system. Using software programming instead of manual input, using optimization algorithms instead of artificial self-prepared optimization scenarios, and simultaneously optimizing LID facilities and rainwater pipe networks, the optimal solution can be found quickly and accurately, and the integrity of optimization can also be taken into account.

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...

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Application Information

Patent Timeline
22 Apr 2022
Publication
CN113190944B
IPC
G06F30/18; G06F30/27; G06F30/28; G06N3/00; G06F9/445; G06F8/30; G06F113/08; G06F113/14; G06F119/14
CPC
G06F30/18; G06F30/27; G06F30/28; G06N3/006; G06F9/44521; G06F8/315; G06F2113/14; G06F2113/08
Inventors
杜颖恩; 侯精明