A method for detecting the bad state of the screws of the oblique brace sleeve parts of the high-speed railway catenary
A sleeve component and bad state technology, applied to computer parts, measuring devices, instruments, etc., can solve problems such as complex images and difficult fault detection, and achieve high correct detection rate, simple and effective state detection, and simplified difficulty Effect
Active Publication Date: 2019-04-16
SOUTHWEST JIAOTONG UNIV
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Since the images of catenary support and suspension devices collected on site are generally complex, it is difficult to use image processing technology to detect the fault of the brace sleeve
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0054] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. figure 1 It is a process block diagram of the method of the present invention. Figure 2 to Figure 5 It shows the position of the brace sleeve screw in the image collected on site, highlighting that it is difficult to detect such a small part. The details are as follows:
[0055] 1. Positioning and extraction of the brace sleeve
[0056] 1) The feature operator is invariant to image scaling, rotation and brightness changes. Since cell units may be repeated between adjacent blocks, an image with a resolution of 64×64 contains 7×7 blocks. The feature vectors of all blocks in the image are connected together to obtain the HOG feature vector of the entire image, and the final HOG feature descriptor contains 1764 vectors to form dimensions.
[0057] The value of any point (x, y) in the integral map is defined as the sum of the gray value...
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
Login to View More Abstract
The invention discloses a method for detecting the defective state of the screw of the brace sleeve part of the high-speed railway catenary, which comprises the following steps: firstly, establishing a sample library about the brace sleeve part, extracting the HOG feature of the sample to train the cascaded AdaBoost classifier, Train the support vector machine classifier; secondly, use the Hough transform to extract the inclination angle of the brace sleeve in the target image, and rotate it to the vertical direction; when judging the fault, choose the ratio of the bolt length and diameter as the criterion for the bolt shedding fault , set the relevant threshold to judge the fault of the bolt falling off; judge the fault of the bolt loosening according to the position of the thin nut, perform differential processing on the cumulative distribution of pixels in the horizontal direction, and judge whether it is loose according to the relative change rate of the horizontal pixel distribution. The invention directly detects the state of the high-speed rail catenary oblique brace sleeve screw parts through an image processing method, provides objective, true and accurate detection and analysis results, and overcomes the defects of the traditional manual detection method.
Description
technical field [0001] The invention relates to the field of high-speed railway catenary fault detection, in particular to an image processing-based method for detecting bad states of catenary brace sleeve screws. Background technique [0002] In the L-shaped arm support device of the high-speed railway catenary, the two ears of the brace sleeve are important load-bearing parts. In order to ensure the safety of the train, the construction quality of this part has strict requirements. For jackbolt socket lugs, screws are an important fastener. The vibration or construction defects generated during the long-term operation of the train may cause the sleeve screws to loosen or fall off and other bad conditions, which will reduce the load-bearing capacity of the wrist arm, reduce the mechanical strength of the catenary, and increase the possibility of accidents. The 4C system technical specification promulgated by the former Ministry of Railways includes high-definition video mo...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G01D21/00
CPCG01D21/00G06F18/2411G06F18/214
Inventor 刘志刚陈隽文钟俊平韩志伟
Owner SOUTHWEST JIAOTONG UNIV