A wind speed prediction method along railway line considering wind direction and confidence interval

A technology for wind speed prediction and confidence intervals, applied in prediction, neural learning methods, instruments, etc., can solve problems such as difficult scientific decision-making of wind speed prediction

Active Publication Date: 2019-01-15
CENT SOUTH UNIV
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The potential safety hazards caused by sudden strong winds are not only related to the wind speed, but also closely related to the wind direction. Under the same wind speed level, the wind direction is highly relat

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
  • A wind speed prediction method along railway line considering wind direction and confidence interval
  • A wind speed prediction method along railway line considering wind direction and confidence interval
  • A wind speed prediction method along railway line considering wind direction and confidence interval

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0070] Such as figure 1 with figure 2 As shown, a wind speed prediction method along the railway line considering wind direction and confidence interval includes the following steps:

[0071] Step 1: Set up wind measuring stations at railway target wind measuring points, including target wind measuring stations and auxiliary wind measuring stations;

[0072] The target wind measuring station is 1, 100 meters away from the railway target wind measuring point, and the auxiliary wind measuring station includes 3, arranged at the three vertices of an equilateral triangle, with a distance of 1000 meters between each two, and the center of the equilateral triangle Located at the target wind station with the bottom edge parallel to the railroad tracks.

[0073] Step 2: Construct training sample data;

[0074] The wind speed data and wind direction data of...

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 wind speed prediction method along a railway line considering wind direction and a confidence interval. A plurality of low-correlation wind speed prediction models are established by using historical wind speed data, the intelligent integrated optimization prediction results are optimized, the prediction accuracy is improved, and the wind direction is established at the same time. Wind speed prediction error joint probability distribution, combined with the wind direction prediction value of the target anemometry point, to obtain high confidence wind speed predictioninterval; the wind speed prediction error of each simulation and the wind direction real value at the corresponding time are taken as the first observation value of two-dimensional discrete random variable to construct the wind direction.The joint probability distribution of wind speed prediction error is used to establish the mapping relationship between wind direction and prediction error. Basedon wind direction, the high confidence interval of wind speed prediction error is obtained, which significantly improves the robustness of wind speed prediction, avoids the singularity of absolute wind speed prediction, and provides more accurate and effective prediction information for train operation decision-making.

Description

technical field [0001] The invention belongs to the field of railway wind speed prediction, in particular to a wind speed prediction method along a railway considering wind direction and confidence interval. Background technique [0002] Strong winds are one of the main reasons for train derailment and overturning. Operational accidents caused by sudden strong winds often occur at home and abroad. Each accident will have a negative impact on the safety of citizens’ lives and property and the development of the country’s economy. Aiming at the hidden danger of sudden gale on the railway, many scholars have focused their research on wind speed prediction along the railway, hoping to use historical wind speed for time series analysis to achieve high-precision prediction of wind speed along the railway. [0003] The potential safety hazards caused by sudden strong winds are not only related to the wind speed, but also closely related to the wind direction. Under the same wind sp...

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): G06Q10/04G06Q50/30G06N3/08
CPCG06N3/08G06Q10/04G06Q50/30
Inventor 刘辉段铸陈超
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