A Reconstruction Method of Bending Pipe Model Based on Point Cloud Data

A technology of point cloud data and pipe bending, applied in image data processing, electrical digital data processing, special data processing applications, etc., can solve problems such as insufficient measurement parameters, failure to consider pipeline parameter measurement, inability to apply design and processing, etc. Achieve the effect of reducing the amount of calculation, improving the qualified rate and improving the detection efficiency

Active Publication Date: 2020-05-26
HEFEI UNIV OF TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, neither of these two methods considers the parameter measurement of the pipe in the bending part, but only reconstructs the model on the computer, and there are not enough measurement parameters, so it cannot be applied to actual design and processing

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
  • A Reconstruction Method of Bending Pipe Model Based on Point Cloud Data
  • A Reconstruction Method of Bending Pipe Model Based on Point Cloud Data
  • A Reconstruction Method of Bending Pipe Model Based on Point Cloud Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] This embodiment is a reconstruction of an elbow part with only one right-angle bend, including the following steps:

[0063] Step 1: Input elbow point cloud data model

[0064] Such as figure 2 As shown, the present embodiment scans a bent pipe part with a right-angle bend to obtain a point cloud data model M, M={P i |i=1,…,N}, point P i ={x i ,y i ,z i ,i|i=1,...,N}, i is the index of the point, and N represents the total number of points.

[0065] Step 2: Calculate point cloud normal vector, tangent vector and other information

[0066] (2a) First based on the covariance matrix Σ=Q T The eigenvector of Q is calculated for each sampling point P i Handling vector initial value, here

[0067]

[0068] Set the eigenvector corresponding to the minimum eigenvalue of the matrix Σ as P i Handling vector The initial value of ; where (x j ,y j ,z j ) means P j The coordinate value of the point in the global coordinate system, P respectively j neighborho...

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 bend pipe detection method based on point cloud data. According to tangent vector information of sampling points, a cylindrical section and an circular ring section of a bend pipe are identified, and each section is respectively fit, to calculate parameters of a bend pipe model. The method is characterized by classifying point cloud data according to mapping of sampling point tangent vectors on a unit ball; using an accumulated chord length as a position parameter, reordering the sampling points; and finally calculating bend pipe parameters, to reconstruct a bend pipe model. The invention provides a rapid and accurate data analysis method for detection of a bend pipe component, and the method is simple in operation and reliable in calculation result.

Description

technical field [0001] The invention relates to the technical field of complex curved surface detection, in particular to a method for rebuilding an elbow model based on point cloud data. Background technique [0002] Bending pipe parts are one of the most widely used parts in the industry. The springback phenomenon in the processing process greatly affects the forming quality. However, due to the complexity of its space, the traditional bending pipe inspection method is not only time-consuming and laborious, but also the detection results It cannot be quantified, and the analysis and evaluation of the test results mainly depends on the experience of the test personnel. Therefore, it is very important to quickly and accurately detect bent pipes in the production process. [0003] In terms of detection and reconstruction of bent pipes, FrangoisGoulette of the Robot Research Center of the Paris School of Mines proposed an automatic CAD modeling method for industrial bent pipe...

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 Patents(China)
IPC IPC(8): G06F30/20G06T17/30G06F113/14
CPCG06F30/20G06F2113/14G06T17/30
Inventor 李维诗赵岩岩于连栋夏豪杰
Owner HEFEI UNIV OF TECH
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