Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Monitoring method and system for railway snow depth and wind and snow movement track based on image processing

An image processing and railway technology, applied in the field of image processing, can solve the problems of complicated installation of pressure components for monitoring snow depth, high risk factor, and lower monitoring costs, so as to reduce monitoring labor costs, expand monitoring scope, and reduce the number of installations Effect

Active Publication Date: 2022-06-07
CHINA RAILWAY DESIGN GRP CO LTD
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the environment of strong wind and heavy snowfall, traditional manual measurement faces difficulties such as personnel transportation and operation difficulties, high risk factor, and low efficiency
The snow depth monitoring of pressure components is complicated to install, high in cost and inconvenient to maintain
[0003] In order to meet the needs of monitoring snow depth and migration trajectory in high-latitude wind and snow areas, overcome the disadvantages of manual measurement of traffic and operation difficulties, high risk factor, low efficiency, etc., and reduce monitoring costs

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
  • Monitoring method and system for railway snow depth and wind and snow movement track based on image processing
  • Monitoring method and system for railway snow depth and wind and snow movement track based on image processing
  • Monitoring method and system for railway snow depth and wind and snow movement track based on image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to further understand the content of the invention, features and effects of the present invention, the following embodiments are exemplified and described in detail with the accompanying drawings as follows:

[0072] like figure 1 As shown, the technical scheme of the present invention is:

[0073] An image processing-based monitoring method for railway snow depth and wind and snow movement trajectory, comprising:

[0074] S1, establish a pole identification area along the railway, and set a marking pole in the pole identification area; as a preference, the marking pole is a cylindrical long pole, and the surface of the long pole is coated with three marking colors of black, yellow and red, wherein , the black part and the yellow part are set alternately.

[0075] S2. Collect digital image data of the marker rod area through timed shooting or real-time shooting;

[0076] S3, extracting an image of a marker rod through an image enhancement algorithm and an im...

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 relates to a method and system for monitoring railway snow depth and wind and snow movement track based on image processing, which belongs to the field of image processing technology, and is characterized in that it at least includes: S1. Set up signage poles in the area; S2, collect digital image data of the signpost area; S3, extract the signpost images through image enhancement algorithm and image recognition algorithm in turn; S4, calculate the identification length of the signpost through the signpost images; The snow depth value is obtained by calculating the initial length and the identified length; S5, calculating the snow migration trajectory through the weather forecast data and the snow depth change. By adopting the above technical solution, the present invention utilizes the image processing technology to quickly and accurately monitor the snow accumulation depth and the movement track of wind and snow along the railway.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method and system for monitoring railway snow depth and wind and snow movement trajectory based on image processing. Background technique [0002] As we all know, snow cover has always been one of the important hazards faced by railways in high latitudes. When snowfall and snowpack are accompanied by strong winds, large-scale migration of snowpack is more harmful. Therefore, timely and accurate acquisition of snow depth and snow migration information along the railway line under the action of strong wind is the premise to ensure the safety of railway construction and operation, and to evaluate snow protection measures. Under the environment of strong wind and heavy snowfall, traditional manual measurement faces difficulties in personnel transportation and operation, high risk factor, and low efficiency. Pressure components to monitor snow depth are compli...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/30G06T7/11G06T7/136G06T7/60G06T7/70G06V10/25G06V10/56
CPCG06T5/30G06T7/136G06T7/11G06T7/60G06T7/70G06T2207/30181G06T2207/30241G06T2207/30192G06V10/25G06V10/56Y02A90/10
Inventor 魏来张戎垦曹虎吕菲周勇军刘建廷
Owner CHINA RAILWAY DESIGN GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products