Support vector regression-based stratified reservoir water intake discharged water temperature prediction model and prediction method

A technology of support vector regression and prediction model, which is used in prediction, character and pattern recognition, complex mathematical operations, etc. It can solve the problem of difficult to meet the high-precision prediction of water temperature, and achieve fast calculation speed, ensure accuracy, and application prospects. Good results

Active Publication Date: 2021-06-25
SICHUAN UNIV +2
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the researchers’ prototype observations of engineering examples, it is found that the temperature of the discharged water is affected by various factors such as the water level in the reservoir area, the vertical water temperature distribution, the elevation of the logger door, the number of layer

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
  • Support vector regression-based stratified reservoir water intake discharged water temperature prediction model and prediction method
  • Support vector regression-based stratified reservoir water intake discharged water temperature prediction model and prediction method
  • Support vector regression-based stratified reservoir water intake discharged water temperature prediction model and prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] The support vector regression-based method for constructing the temperature prediction model for water intake and discharge in stratified reservoirs provided in this embodiment is as follows: figure 1 shown, including the following steps:

[0104] S1 obtains monitoring data within a given period of time

[0105] The monitoring data involved in this embodiment include the water temperature in the reservoir, the water level in the reservoir, the elevation of the stoplog gate, the inflow flow, the outflow flow, air temperature, the vertical water temperature distribution of the temperature chain before the water inlet, and the discharge water temperature.

[0106] The specific methods for obtaining the data of the above-mentioned elements include:

[0107] (1) The temperature is obtained through field monitoring or the National Meteorological Science Data Center (http: / / data.cma.cn / ).

[0108] (2) The water level of the reservoir, the elevation of the stacking beam gate,...

Embodiment 2

[0173] In this example, the water temperature prediction model for water intake and discharge of stratified reservoirs constructed in Example 1 is used to predict the temperature of the discharge water under the predicted working conditions (monitoring data collected during the period from April 1, 2019 to May 19, 2019), including The following steps:

[0174] S1′ Obtain monitoring data of stratified reservoirs to be predicted working conditions

[0175] The monitoring data of the working conditions to be predicted include the water temperature in the reservoir, the water level in the reservoir, the elevation of the stacking beam gate, the inflow flow, the outflow flow, air temperature, and the vertical water temperature distribution of the temperature chain before the water inlet, which are used as characteristic variables.

[0176] For the specific acquisition method of each element data, see Example 1.

[0177] The outlier screening is carried out on the monitoring data wi...

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 invention discloses a support vector regression-based stratified reservoir water intake discharge water temperature prediction model and prediction method, and the method comprises the steps: firstly carrying out principal component analysis of the reservoir water temperature, the reservoir water level, the stoplog gate elevation, the reservoir flow, the outflow flow, the air temperature, the temperature chain vertical water temperature distribution, and the like; and taking the principal component with the total contribution rate greater than 99% as an input feature vector, and predicting the discharged water temperature through the trained support vector regression model. The influence of the reservoir water temperature, the reservoir water temperature distribution, the reservoir flow, the outflow flow, the reservoir water level, the air temperature and the stoplog gate elevation on the discharged water temperature and the interaction of all the influence factors are comprehensively considered, dimensionality reduction is conducted on data, and accurate prediction of the discharged water temperature is achieved on the basis of the support vector regression method. The invention is not limited by regions, can be carried out in the aspects of reservoir water temperature management, reservoir downstream ecological environment protection and the like, provides technical support for a reservoir operation scheduling scheme, can also carry out visual operation, and has a relatively good application prospect.

Description

technical field [0001] The invention belongs to the technical field of reservoir water resources management, and relates to the research on the discharge water temperature of stratified reservoirs, in particular to a machine learning algorithm-based water intake and discharge temperature prediction technology for stratified reservoirs. Background technique [0002] Building dams and reservoirs is a common engineering measure in the development and utilization of water resources. The storage of water in the reservoir not only regulates the natural river flow, but also regulates the heat in the reservoir. [0003] Since the heat source of the water body of the reservoir mainly includes the influence of solar radiation and warm inflow, the solar radiation cannot reach the depth of the water body, so the surface water temperature is high and the density is low. The water temperature is low and the density is high, which causes the vertical stratification of the reservoir water ...

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): G06K9/62G06F17/18G06F17/16G06Q10/04G06Q50/06
CPCG06F17/16G06F17/18G06Q10/04G06Q50/06G06F18/214
Inventor 脱友才樊皓徐火清卢永澳严忠銮邓云惠军梁乃生李斐杨颜菁卢晶莹孙干杨小倩
Owner SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products