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

Railway steel rail defect detection method, system and equipment and storage medium

A technology of defect detection and target detection algorithm, which is applied in the field of railway rail defect detection methods, equipment and storage media, and systems, can solve problems such as limited communication speed, detection, time-consuming and energy-consuming, and achieve the effect of rapid detection and positioning

Pending Publication Date: 2022-07-01
SUN YAT SEN UNIV +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the long running mileage of the railway, a very large amount of data to be detected will be generated during each detection operation, and the network communication speed in the railway scenario is limited, and the huge amount of data cannot be transmitted back to the data center for detection in real time
At present, a large amount of railway rail data collected by inspection trains is usually stored in a removable hard disk, and then brought back to the data center for inspection after the inspection is completed. The timeliness is poor and it will consume a lot of time and energy

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
  • Railway steel rail defect detection method, system and equipment and storage medium
  • Railway steel rail defect detection method, system and equipment and storage medium
  • Railway steel rail defect detection method, system and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] It should be understood that the step numbers used in the text are only for the convenience of description, and are not used as a limitation on the order of execution of the steps.

[0050] It should be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in this specification and the appended claim...

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 steel rail defect detection method, system and device and a storage medium, and relates to the technical field of computer vision. The method comprises the following steps: acquiring a steel rail surface image data set to obtain a mark data set; training the marked data set by adopting a target detection algorithm to obtain a steel rail defect detection model; performing classification training on the data set by adopting a target classification algorithm to obtain a classification model of the steel rail defects; acquiring a to-be-detected steel rail image, and detecting the to-be-detected steel rail image by adopting the detection model to obtain defect positioning information; and performing category judgment on the defect positioning information of the to-be-detected steel rail image by adopting the classification model to obtain a defect judgment result. According to the method, railway steel rail defects in a complex track scene can be efficiently and rapidly detected and positioned on an inspection train, and if the steel rail defects are found, positioning and alarming can be carried out in time, so that workers are reminded to take maintenance measures on the steel rails at the corresponding positions in time during maintenance.

Description

technical field [0001] The invention relates to the technical field of computer vision, and in particular, to a method, system, equipment and storage medium for detecting defects of railway rails. Background technique [0002] Railway is the main artery of the national economy, key infrastructure and major livelihood projects. It is the backbone of the comprehensive transportation system and one of the main modes of transportation. Its status and role in my country's economic and social development are crucial. With the development of railway operation toward the direction of high-speed, high-density and heavy-duty trains, how to effectively and efficiently ensure the safety of railway operation is facing a severe test. The steel rail is the basic load-bearing structure of the railway track and is used to guide the rolling stock while providing the contact surface with the least resistance for the rolling of the wheels. Under the influence of heavy load, fatigue wear and ex...

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 Applications(China)
IPC IPC(8): G06T7/00G06T7/70G06K9/62G06V10/764G06V10/774G06V10/80
CPCG06T7/0002G06T7/70G06T2207/30204G06T2207/20081G06F18/241G06F18/253G06F18/214
Inventor 王亮郑嘉俊苏燮阳张志勇王鲁平丘昌镇李春泽李登翔
Owner SUN YAT SEN UNIV