Urban water supply network tube explosion prediction method

Abstract

The invention belongs to the field of a prediction method of the urban water supply network tube explosion, and provides a novel urban water supply network tube explosion prediction method to solve the problem that the prediction precision is low and establish a tube explosion prediction model so as to provide novel study basis for urban water supply network tube explosion. Therefore, according to the technical scheme, the urban water supply network tube explosion prediction method comprises the following steps of: (1) acquiring the tube explosion rate of a tested water supply network and historical data of other relevant affect factors which affect the tube explosion rate, and taking the tube explosion rate and the historical data as the detected data; (2) establishing a water supply network tube explosion prediction model of a self-adaptive neural network heterozygosis variable precision rough set; (3) carrying out training and test analysis on the water supply network tube explosion prediction model; and (4) predicting the tube explosion rate of the water supply network by using the water supply network tube explosion prediction model which passes the test. The method is mainly applied to prediction on the urban water supply network tube explosion.

Description

technical field [0001] The invention belongs to the category of prediction methods for pipe bursts in urban water supply pipe networks, and is especially suitable for situations where historical data of pipe bursts is limited. Specifically, it relates to a method for predicting pipe bursts in water supply pipe networks. Background technique [0002] The water supply network is one of the most important infrastructures of the city, and it is an indispensable condition to ensure the normal operation of urban production and life. However, in recent years, pipe burst accidents in the water supply pipe network have occurred frequently, which seriously affects people's normal life on the one hand, and causes a lot of waste of clean water resources on the other hand. Therefore, the prediction and prediction of pipe burst in water supply network is particularly important. Many experts and scholars have conducted a lot of exploration and research on the prediction of pipe burst in w...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to overcome the deficiencies of the prior art and provide a new method for predicting pipe bursts in urban water supply networks to solve the problems caused by the limited data collection and the u...

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