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

Automatic inspection system and automatic inspection method for equipment beside the ground rail

A technology of automatic inspection and trackside equipment, which is applied in office automation, closed-circuit television systems, neural learning methods, etc., can solve the problems of difficult to guarantee the accuracy of image contrast, reduce manual workload, and low degree of intelligence, and achieve Good flexibility and scalability, reduce the labor intensity of employees, and reduce the effect of detection area

Pending Publication Date: 2021-01-08
CASCO SIGNAL
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing related papers and patent reports have similar overall ideas and system frameworks, but in the most important image analysis, the existing technical means are relatively single
Mostly, the current captured image is compared with the original normal state image at the same position in the database, including image pixel subtraction and local gray value mutation detection. It is difficult to guarantee the accuracy of this simple image comparison. First, it requires accurate shooting position Positioning, image registration is required before comparison to ensure that the corresponding positions of the device in the image are relatively coincident when the pixels are subtracted. At the same time, unless the appearance of the device changes significantly, it is difficult to accurately judge through changes in pixel values
These technical means have low intelligence, low accuracy and cumbersome image preprocessing, especially the precise positioning of the shooting position is difficult to achieve
The image recognition module adopts the data processing mode of software automatic recognition and manual confirmation. To a certain extent, such an inspection system only partially reduces the manual workload, and does not fully realize fully automated and highly reliable automatic equipment inspection. check

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
  • Automatic inspection system and automatic inspection method for equipment beside the ground rail
  • Automatic inspection system and automatic inspection method for equipment beside the ground rail
  • Automatic inspection system and automatic inspection method for equipment beside the ground rail

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] Check whether the cables in the section are hanging:

[0078] Step S1, the angle of view of the camera on the inspection machine is perpendicular to the wall to shoot the cables on the wall of the subway tunnel;

[0079] Step S2, using the Hough transform in the OpenCV library to detect the straight line in the image, that is, the suspension cable;

[0080] Step S3, calculating the slope of the straight line, if the slope exceeds the set threshold, it is abnormal;

[0081] Such as image 3 As shown in the figure, the cables are marked on the image according to the straight line detection algorithm. The horizontal cables in the normal state are marked in green, and the cables with abnormal slopes are marked in red.

Embodiment 2

[0083] Detect if the equipment box door is open:

[0084] Step S1, mark the side gap of the equipment box with a specific color in advance, and when the equipment box door is opened, the marks will be staggered to present an abnormal state;

[0085] Step S2. The angle of view of the camera on the inspection machine is at a certain angle to the wall of the subway tunnel to shoot the side of the equipment box; under normal circumstances, the angle of view of the center of the camera and the direction of the train is at an angle of 60 degrees to the tunnel wall. Properly adjust the shooting angle;

[0086] Step S3, realize the precise positioning of the equipment box through deep learning training on the appearance of the equipment box, and narrow the detection area;

[0087] Step S4, constructing a color mask corresponding to the mark color through HSV color space segmentation to realize mark form extraction;

[0088] Step S5: Carry out binary classification training on the ma...

Embodiment 3

[0090] Detect whether the terminal of the equipment is disconnected:

[0091] Step S1, the camera angle of view on the inspection machine is perpendicular to the subway tunnel wall to shoot the equipment on the wall;

[0092] Step S2, using the original yellow label at the end of the terminal, through HSV color space segmentation, constructing a yellow mask to filter out the yellow label, eliminating the interference of complex backgrounds;

[0093] Step S3, calling the cv2.findContours() algorithm to mark the connected regions in the image (labeled regions are regarded as independent connected regions) and counting;

[0094] Step S4, comparing with the number of terminals recorded in the database, if they are inconsistent, it is abnormal;

[0095] Such as Figure 4 As shown, the system counts the terminals on the device, the labels below the terminals are marked and the total is displayed on the screen.

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 present invention provides an automatic inspection system and an automatic inspection method for equipment beside a ground rail, an image acquisition module, a positioning module and a fault detection module are arranged on an inspection vehicle, the image acquisition module acquires image data of the equipment beside the ground rail, and the positioning module acquires real-time position information of the inspection vehicle; and the fault detection module identifies and analyzes the equipment beside the ground rail according to the image data and the corresponding position information during image shooting, obtains the position of the fault equipment and determines the fault type. According to the invention, full-automatic inspection of the equipment beside the ground rail is realized, the identification precision and efficiency are improved, the flexibility and expandability are good, the labor cost is reduced, and the operation safety is guaranteed.

Description

technical field [0001] The invention relates to an automatic inspection system and an automatic inspection method for subway trackside equipment. Background technique [0002] Urban rail transit is an industry with extremely high safety requirements. Safe and reliable equipment is the infrastructure for the normal operation of the urban rail transit passenger transport system and the avoidance of safety accidents. In order to ensure that the equipment is in good operating condition, the inspection of trackside equipment is one of the daily tasks of safe operation and maintenance. Usually, the inspection work is limited to two to three hours after the operation is withdrawn at night, and the inspection of the entire line network is completed. The time is tight and the task is heavy, which has become a difficult point in the maintenance work of rail transit. [0003] Some existing trackside equipment inspection systems are mostly concentrated on high-speed railways. By insta...

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): G06Q10/06G06Q10/10G07C1/20H04N7/18G06N3/04G06N3/08
CPCG06Q10/063114G06Q10/103H04N7/181G07C1/20G06N3/08G06N3/045
Inventor 蒋耀东王思远韩海亮丁露崔洪州
Owner CASCO SIGNAL
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