Urban rainwater pipeline design method

Abstract

The invention discloses a design method of urban rainfall pipe, which comprises the following steps: 1. using the Visual Basic 6.0 computer to input the urban rainfall primitive data in the computer at the database or test pattern; 2. calling the primitive rainfall data from hard disk to internal memory RAM to do data arrangement in the CPU; 3. proceeding frequency analysis of disposed data to obtain the i-t-P list; conveying the i-t-P list to the terminal display; 4. calculating the i-t-P list through calling the 'genetic algorithm program'; obtaining the urban storm strength formula; 5. calculating the urban rainfall pipe diameter according to the storm strength formula. The invention adapts local random searching technique to take the minimum formula mean square deviation as the object function, which improves the counting speed and calculation precision.

Description

technical field [0001] The present invention relates to a method for designing urban rainwater pipelines, in particular to a method for calculating the important design parameters in the diameter design of urban rainwater pipelines using genetic algorithms - the method of the urban rainstorm intensity formula, which is an answer to the urban rainstorm intensity formula The improvement of the traditional calculation method belongs to the field of municipal drainage and computer application technology, and can be widely used in the calculation of the urban rainstorm intensity formula and the diameter design of urban rainwater pipelines in various regions. Background technique [0002] The trend of the current urban drainage system is the diversion system. That is, sewage and rainwater are collected and transported by sewage pipes and rainwater pipes respectively, sewage enters urban sewage treatment plants, and rainwater is directly discharged into water bodies. Therefore, th...

AI Technical Summary

Problems solved by technology

As the core of rainstorm intensity prediction is the urban rainstorm intensity formula, the traditional establishment of the urban rainstorm intensity formula is generally based on the local meteorological station (station) self-calculated rainfall data, using statistical calculation methods to determine, there are time-consuming, laborious, poor accuracy, and many statistical data and the disadvantage of large computational workload

[0004] In the derivation process of the rainstorm intensity formula, the traditional method has problems such as difficulty in direct optimization or large fitting error

In order to provide an advanced and reliable method for quickly and accurately establishing the formula of urban rainstorm intensity, many people have proposed the general process of using genetic algorithm to solve the parameter optimization in the calculation of urban rainstorm formula in recent years, but most people only pay attention to the form of genetic algorithm , without really considering the problem from the essence of the genetic algorithm, so there is a problem of slow convergence and easy to fall into local optimum

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