Unlock instant, AI-driven research and patent intelligence for your innovation.

Hot-rolled steel rail material tracking method and system based on machine vision

A machine vision and rail technology, which is applied in the field of hot-rolled rail material tracking methods and systems, can solve the problems of confusion of logic, large difference in character quality, and difficulty in tracing, so as to speed up the training time, increase the recognition speed, and improve the recognition efficiency. Effect

Pending Publication Date: 2021-11-12
青岛东方融智数字科技有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the iron and steel industry is in the transformation period of development strategy. Intelligent manufacturing is an important starting point to realize the transformation of the iron and steel industry. The traditional rolling line material tracking mainly adopts the logic tracking method. When a problem occurs in a certain link, the logic becomes chaotic and difficult trace back
[0005] The difficulty of rail steel stamp number recognition lies in the large difference in character quality between it and traditional optical character recognition. The inventor found that the existing machine vision algorithm is difficult to meet the recognition accuracy requirements of iron and steel enterprises. After testing the existing open source high-precision OCR model The accuracy rate applied to rail steel stamp recognition is less than 10%

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
  • Hot-rolled steel rail material tracking method and system based on machine vision
  • Hot-rolled steel rail material tracking method and system based on machine vision
  • Hot-rolled steel rail material tracking method and system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] like figure 1 As shown, the present embodiment provides a machine vision-based hot-rolled rail material method, specifically including the following:

[0042] Determine the data acquisition plan: determine the appropriate installation position of the industrial camera, camera type selection, light source selection, camera protection fixture design, and trigger mode according to the rail rolling production process and the site environment; specifically, determine the appropriate installation position of the industrial camera according to the rail rolling production process , The industrial camera chooses a line scan camera, and at the same time increases the light source, which is triggered by a laser through-beam photoelectric switch. When a rail passes through the photoelectric switch, the camera is triggered to collect rail surface pictures.

[0043] Making steel stamp data sets: In this example, a large number of rail surface pictures are collected on site, and cut a...

Embodiment 3

[0056] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for tracking hot-rolled rail material based on machine vision described in Embodiment 1 is implemented.

Embodiment 4

[0058] This embodiment provides an edge computing device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, the machine-based computer described in Embodiment 1 is implemented. A visual approach to hot-rolled rail material tracking.

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 hot-rolled steel rail material tracking method and system based on machine vision. The method comprises the following steps: acquiring surface image data of a hot-rolled steel rail; performing feature extraction on the surface image data to obtain position information of steel rail steel seal characters and center line information between the characters; inputting the position information of the steel rail steel seal characters and the center line information between the characters into a preset tracking model to obtain a tracking result of the hot-rolled steel rail material, wherein the tracking model is compressed through knowledge distillation. According to the invention, an industrial camera is added in a hot-rolled steel rail finishing area which is difficult to track, and steel rail materials are tracked in a mode of identifying steel seal numbers through machine vision; according to the characteristics of collected steel rail steel seals, a rapid and accurate steel rail steel seal recognition model is researched and developed in combination with a traditional algorithm and a deep learning algorithm.

Description

technical field [0001] The disclosure belongs to the technical field of machine vision, and in particular relates to a method and system for tracking hot-rolled rail materials based on machine vision. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the development of railway construction and the continuous improvement of rail production technology, the demand for rails is increasing. In order to improve the output and quality of rails, rolling mills need to trace every link of rail production. At the same time, material tracking is essential for the production scheduling of rolling areas. It is very critical and can greatly increase the output of rails; the technical characteristics of rail rolling are long production lines, a large number of production equipment required, and complex production paths; Production process analysis an...

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): G06T7/33G06N3/04G06N3/08G06K9/34G06N5/02G06Q50/04
CPCG06T7/344G06N3/04G06N3/084G06N5/022G06Q50/04Y02P90/30
Inventor 陈兆文张涌泉孙晓卫
Owner 青岛东方融智数字科技有限公司