Water volume prediction method based on mobile phone base station user positioning data

Abstract

The invention discloses a water volume prediction method based on mobile phone base station user positioning data, and relates to the technical field of pipe network hydraulic prediction. The method comprises the following steps: S01, establishing a base station T-step prediction model; S02, determining and obtaining a time factor, a period factor and a space factor; S03, inputting data of a timefactor, a period factor and a space factor into the base station T-step prediction model; S04, encoding the data of the time factor, the period factor and the space factor; S05, forming an initial population; S06, calculating a fitness function according to the initial population; S07, judging whether calculation is stopped or not; S08, optimizing a result; S09, training the GA-BP neural network;S10, prediction output; and S11, performing result presentation. According to the invention, the problem that the existing hydraulic twin model of the hydraulic pipe network cannot accurately predictthe space change and the time change of the water consumption while simulating the operation of the real pipe network is solved.

Description

technical field [0001] The invention belongs to the technical field of pipe network hydraulic forecasting, in particular to a water volume forecasting method based on mobile phone base station user positioning data. Background technique [0002] The goal of smart pipeline network development is to be able to establish a hydraulic twin model of the pipeline network, which can accurately simulate the operation of the actual pipeline network. The biggest problem with the current online hydraulic model is that it cannot accurately predict the spatial and temporal changes of water consumption. [0003] The hydraulic model has been in the water supply industry for more than 60 years. Through computer technology, according to the principles of energy conservation and momentum conservation, the actual underground pipe network is digitally simulated, and the hydraulic data of the pipe network is calculated at the same time. Reflect the hydraulic state of the actual pipe network. ...

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Problems solved by technology

[0008] The water quantity prediction method based on the mobile phone base station user positioning data of the present invention solves the existing hydraulic twin model of the hydraulic pipe network, which can simulate the operation of the actual pipe network, but cannot accurately predict the spatial and temporal changes of the water consumption The problem

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