Strong-wind high-speed railway along-the-line wind speed space network structure prediction method

A high-speed railway and space network technology, applied in biological neural network models, instruments, computing models, etc., can solve the problems of rapid decline in prediction accuracy and poor anti-interference ability.

Active Publication Date: 2017-02-01
CENT SOUTH UNIV
View PDF7 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing wind speed prediction methods are mostly based on the short-term wind speed data of a single anemometer station, which has poor a...

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
  • Strong-wind high-speed railway along-the-line wind speed space network structure prediction method
  • Strong-wind high-speed railway along-the-line wind speed space network structure prediction method
  • Strong-wind high-speed railway along-the-line wind speed space network structure prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0082] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0083] Such as figure 1 As shown in Fig. 1, a multi-model wind speed prediction method along the railway is used. This method constructs an optimal weighted combination model through three prediction models to predict wind speed. Among them, the first prediction model uses the short-term historical wind speed data of multiple anemometer stations, the second prediction model uses the short-term historical wind speed data of a single anemometer station, and the third prediction model uses the historical wind speed data of multiple anemometer stations and the corresponding Historical meteorological data, specifically including the following steps:

[0084] The first predictive model consists of the following steps:

[0085] 1. In order to realize the prediction of the future wind speed of the railway at the position of a target wind measuring station, 5 ...

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 strong-wind high-speed railway along-the-line wind speed space network structure prediction method. The wind speed is predicted by building an optimal weighted combined model based on three prediction models, wherein the first prediction model uses the short-term historical wind speed data of multiple anemometer stations, the second prediction model uses the short-term historical wind speed data of a single anemometer station, and the third prediction model uses the historical wind speed data of multiple anemometer stations and the corresponding historical meteorological data. The method integrates multiple elements including space, time and weather, makes use of a plurality of data including current data of an auxiliary anemometer station and a target anemometer station, historical meteorological data of the auxiliary anemometer station and the target anemometer station and wind speed data, and ensures the diversity of data. Temporal correlation and spatial correlation are combined organically, which improves the prediction reliability. As the data of the three basic models is interleaved, the amount of calculation is reduced. The prediction stability is high, multi-step advance prediction is realized, and the method has engineering application value.

Description

technical field [0001] The invention relates to a prediction method for wind speed space network structure along a strong wind high-speed railway. Background technique [0002] Strong crosswinds are one of the main natural disasters that cause train accidents. Especially when the train passes through some special road sections such as large bridges, high embankments, hills and curves in the tuyere area, accidents such as derailment and overturning are prone to occur, causing casualties and economic losses. loss. Therefore, it is necessary to establish a strong wind monitoring and early warning system along the railway that is prone to strong wind weather. The system includes train information, road condition information along the railway, and wind speed information. Among them, the wind speed module is to install wind speed sensors and acquisition units along the railway line to collect wind speed data in real time. Since the railway department needs to dispatch and command...

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): G06N99/00G06N3/02
CPCG06N3/02G06N20/00
Inventor 刘辉李燕飞米希伟
Owner CENT SOUTH 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap