Subway brake shoe fault detection method based on three-dimensional point cloud

A technology of fault detection and 3D point cloud, applied in neural learning methods, details related to processing steps, image data processing, etc., can solve problems such as loss of subway traffic safety hazards, improve comprehensiveness and reliability, and ensure operation safety , the effect of ensuring robustness and measurement accuracy

Active Publication Date: 2021-12-17
SOUTHWEST JIAOTONG UNIV
View PDF12 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its wear and tear will cause great

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
  • Subway brake shoe fault detection method based on three-dimensional point cloud
  • Subway brake shoe fault detection method based on three-dimensional point cloud
  • Subway brake shoe fault detection method based on three-dimensional point cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation methods.

[0045] The method of data collection in the present invention is that the intelligent inspection trolley is accurately positioned at the designated collection location, and the three-dimensional point cloud data (XYZ) and color information (RGB) of the corresponding parts at the bottom of the subway car are collected by the three-dimensional industrial camera mounted on the robotic arm of the trolley. Several steps are required to realize the fault detection of the brake shoe. It needs to train the segmentation model, realize preprocessing, point cloud segmentation, point cloud processing, parameter calculation and other steps to complete the entire algorithm. By calculating the thickness of the brake shoe, it is possible to accurately judge whether there is wear or not, which is more accurate and reliable than the naked eye...

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 subway brake shoe fault detection method based on three-dimensional point cloud. The method specifically comprises the following steps: acquiring three-dimensional point cloud data of a brake shoe part by using a three-dimensional industrial camera; performing down-sampling processing on the point clouds and controlling the number of the point clouds; after down-sampling, calculating the center of mass, traversing each point, calculating the distance between each point and the center of mass, and filtering out point clouds which do not belong to principal components; segmenting the brake shoe based on a deep learning pointCNN point cloud segmentation network, and judging whether the brake shoe is missing; and carrying out point cloud processing, calculating a thickness brake shoe, and judging whether wear occurs or not. According to the method, the accuracy of subway brake shoe fault detection is improved, meanwhile, the abrasion degree of the brake shoe is scientifically measured and refined, and the abrasion degree is clearly and visually expressed; and a more comprehensive guarantee is provided for the operation safety of the subway.

Description

technical field [0001] The invention belongs to the field of subway brake shoe fault detection, in particular to a method for detecting a subway brake shoe fault based on a three-dimensional point cloud. Background technique [0002] Urban rail transit is of great significance in the development of China. With the rapid development of my country's economy, the technical level and construction scale of China's railway tracks have made great progress. At present, the scale of operating lines in my country, the scale of lines under construction and the scale of passenger flow all rank first in the world, and my country has become a veritable "urban rail power". More and more operating lines are bound to pose a great challenge to safety, so the establishment of a train safety guarantee system has become an indispensable part of the construction of the railway system. As an important part of "smart city", the construction of "smart subway" will surely promote the innovation of p...

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): G06T7/00G06T7/10G06T7/50G06T17/20G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06T7/10G06T7/50G06T17/20G06N3/08G06T2207/10028G06T2207/20081G06T2207/20084G06T2207/30108G06T2200/08G06N3/048G06N3/045G06F18/241
Inventor 黄德青蔡重阳秦娜万字朋周重合
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap