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Construction method and prediction method of prediction model of side weir discharge capacity

A technique for forecasting models and construction methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as low precision and large amount of calculation, achieve high water head, large flow rate, and solve complex hydraulic characteristic problems

Pending Publication Date: 2022-05-03
XIAN UNIV OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for constructing a prediction model and a method for predicting discharge capacity of side weirs, which solves the problems of large amount of calculation and low precision of traditional empirical formulas

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  • Construction method and prediction method of prediction model of side weir discharge capacity
  • Construction method and prediction method of prediction model of side weir discharge capacity
  • Construction method and prediction method of prediction model of side weir discharge capacity

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Embodiment Construction

[0042] In order to further understand the present invention, the present invention will be described below in conjunction with examples. These descriptions are only to further explain the features and advantages of the present invention, and are not intended to limit the claims of the present invention.

[0043] The prediction model of the discharge capacity of the side weir in the present invention is a least squares support vector machine (LS-SVM), and this model is established by MATLAB. Firstly, the side weir model test is designed according to the model scale of 1:50, and the measured values ​​of discharge flow under different working conditions are obtained, and 70% of the test data are randomly selected as the training set of the model to train the performance of the model; 30% of the test data The data is used as the test set of the model to compare the error size and fitting accuracy of the predicted value and the experimental value. The dimensionless parameters Froud...

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Abstract

According to the construction method and the prediction method of the prediction model of the side weir discharge capacity, the prediction model of the side weir discharge capacity is constructed, and dimensionless parameters influencing the side weir discharge capacity coefficient are used as input parameters of a least square support vector machine model; taking the side weir discharge coefficient as an output parameter of the least square support vector machine model, and randomly taking a dimensionless test parameter of the side weir physical model to train the least square support vector machine model; and after the training of the least square support vector machine model is completed, the dimensionless test parameters of the side weir physical model are adopted to carry out the test of the least square support vector machine model, and a final least square support vector machine model is obtained. The problems that a traditional empirical formula is large in calculation amount and low in precision are solved.

Description

technical field [0001] The invention belongs to the technical field of discharge of water conservancy and hydropower projects, and relates to a construction method and a prediction method of a prediction model for predicting discharge capacity of side weirs. Background technique [0002] In the study of the discharge capacity of the weir, direct measurement is not feasible due to the large discharge of the weir. The accurate prediction of the discharge through the artificial intelligence model is an effective means for the design and safe operation of water conservancy and hydropower projects. At present, domestic scholars mostly use the fitting empirical formula to calculate the size of the weir flow, because the weir flow is affected by factors such as the plane position of the weir sill, the shape of the weir opening, the upstream and downstream flow conditions, thickness and bottom, etc., resulting in different flow resistances, resulting in Different flow calculation fo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q10/04G06Q50/06
CPCG06F30/27G06Q10/04G06Q50/06
Inventor 沈桂莹李珊珊李国栋
Owner XIAN UNIV OF TECH
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