Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Parameter sensitivity optimization method based on interaction between SWMM and MATLAB data

A data interaction and optimization method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of easy calculation and manual processing, and achieve the effects of increasing model simulation accuracy, high calculation efficiency, and low sample number

Inactive Publication Date: 2017-08-11
TONGJI UNIV
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although the eFAST method requires fewer samples than other methods, according to the research, it is found that the number of parameter samples required for sensitivity analysis is at least 65*K, K is the number of input parameters, but considering SWMM as a multi- A complex model of parameters whose calculations are still not easily handled manually

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Parameter sensitivity optimization method based on interaction between SWMM and MATLAB data
  • Parameter sensitivity optimization method based on interaction between SWMM and MATLAB data
  • Parameter sensitivity optimization method based on interaction between SWMM and MATLAB data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0040] The purpose of the present invention is to provide a method that can improve the work efficiency of sensitivity sorting of SWMM model parameters by using the eFAST sensitivity analysis method, and reduce the error when processing a large amount of data. The method has the advantages of high efficiency, accuracy, time saving and labor saving.

[0041] Through the mathematical analysis software Matlab programming software, Matlab is programmed to solve the eFAST algorithm calculation problem and the data interaction between Matlab and SWMM software, complete the rapid sensitivity...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention relates to a parameter sensitivity optimization method based on interaction between SWMM and MATLAB data. The method comprises the steps of: S1. simulating an eFAST analysis method by means of Matlab, and transferring an input data sample to an inp format file required by SWMM; S2. by adopting an operation engine of SWMM, calling and extracting information in the inp format file for operation, and storing an operation result into a rpt format file and an out format file separately; S3. by means of Matlab, calling and extracting corresponding output information in the rpt format file and generating a corresponding output data sample; S4. based on the input data sample and the output data sample, calculating a first-order sensitivity factor of a corresponding parameter by means of an eFAST sensitivity analysis algorithm separately; and S5. according to the obtained first-order sensitivity factor, optimizing a condition corresponding to the parameter with a larger first-order sensitivity factor. Compared with the prior art, the method provided by the present invention realizes the eFAST algorithm by using Matlab, so that the model optimization can be sped up.

Description

technical field [0001] The invention relates to the field of urban surface source pollution control, in particular to a parameter sensitivity optimization method based on SWMM and MATLAB data interaction. Background technique [0002] In order to improve the parameter calibration efficiency of the SWMM model, many scientific researchers and engineers at home and abroad have proposed various methods to analyze the sensitivity of the parameters of the SWMM model, including: using the runoff depth, flood peak discharge and flow process line as the objective function to analyze the output of the SWMM model. The local sensitivity analysis method for parameter sensitivity analysis of the confluence and pipe network migration module; with the runoff volume, peak flow rate and peak time required as the objective function, the local sensitivity analysis method is used to analyze the impermeable area ratio, area width, and ground subsidence depth. Sensitivity analysis of (permeable an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50
CPCG06F30/00
Inventor 王红武董敬磊张一龙秦语涵
Owner TONGJI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com