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

Modeling Method of Railway Station Yard Network Topology Model Based on Image Recognition

A network topology and image recognition technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as low efficiency and cumbersome modeling process

Inactive Publication Date: 2016-04-27
SOUTHWEST JIAOTONG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In the research and design process of existing railway and high-speed railway station work organization, we often encounter the problem of converting the station yard diagram into a network topology model (operations research, graph theory), especially in scientific research to establish railway The network topology model of the station yard is the basis and premise of further research. The existing method is to use a special modeling tool to model manually. The modeling process is cumbersome and inefficient.

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
  • Modeling Method of Railway Station Yard Network Topology Model Based on Image Recognition
  • Modeling Method of Railway Station Yard Network Topology Model Based on Image Recognition
  • Modeling Method of Railway Station Yard Network Topology Model Based on Image Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with specific embodiments.

[0047] The overall technical plan is to convert the hand-drawn paper network topology map of railway stations or printed paper network topology maps into images that can describe geometric characteristics and network topology through image acquisition, image processing, image recognition, data structure modeling and other technological processes. The network topology model data format of the relationship is saved as a network topology model file.

[0048] In order to realize intelligent modeling of existing pictures or network diagrams manually drawn on paper and output model files, the present invention adopts the following steps to achieve the goal:

[0049] The first step is to use the image acquisition equipment (scanner) to collect the design drawing of the railway station on paper, and convert the paper network diagram drawing into a data file that can be read and s...

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 railway station yard network topology model modeling method based on image recognition. The railway station yard network topology model modeling method based on the image recognition comprises the following steps of (1) collecting a railway station yard design drawing through an image collection device, converting a drawing of a paper network diagram into data files which can be read and stored by an image processing device, and temporarily storing the data files on the image processing device, (2) carrying out preprocessing on the collected image files, (3) using an arc search operator and a node recognition operator to carry out alternate operation, recognizing geometric equations and characteristics of all modes and arcs in images, storing the geometric equations and the characteristics, (4) using a topological relation statistics operator to process the geometric equations and the characteristics of the nodes and the arcs, and (5) storing the geometric characteristics of the nodes and the arcs, and the topological relations of the nodes and the arcs to form standard data files, and forming a model file which can be used for related scientific research.

Description

technical field [0001] The invention relates to an image recognition-based method for modeling a network topology model of a railway station yard. Background technique [0002] Image acquisition technology, by capturing images and converting them into digitized files that can be displayed, edited, stored and output by a computer, mature technical equipment such as scanners, video cameras, cameras, etc. [0003] The design drawing of the railway station yard. The railway station is the link between the railway transportation system and the social and economic life. It is a place for railway trains to stop for moving goods or allowing passengers to ride. It is composed of the station yard and station auxiliary facilities. The station yard It is the basic equipment of the railway station operation organization, including station lines, turnouts, line connection equipment, etc. [0004] Network topology model, graph theory is a very widely used branch of operations research, wi...

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): G06F17/50G06K9/60
Inventor 鲁工圆徐进彭其渊
Owner SOUTHWEST JIAOTONG UNIV
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