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

Assembly pose measurement precision pre-evaluation method based on Monte Carlo method

A technique of Monte Carlo method and measurement accuracy, which can be used in measurement devices, optical devices, instruments, etc., and can solve problems such as the accuracy of component pose measurement

Active Publication Date: 2021-04-23
BEIJING HANGTIAN XINFENG MECHANICAL EQUIP +1
View PDF11 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is a method for pre-assessing the accuracy of assembly pose measurement based on the Monte Carlo method to solve the problem of measuring the accuracy of the pose of components before actual assembly

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
  • Assembly pose measurement precision pre-evaluation method based on Monte Carlo method
  • Assembly pose measurement precision pre-evaluation method based on Monte Carlo method
  • Assembly pose measurement precision pre-evaluation method based on Monte Carlo method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Aiming at the pre-assessment of pose measurement accuracy in the digital assembly process of large parts, the present invention provides a calculation method based on the Monte Carlo method for pose fluctuations and assembly characteristics, and according to figure 2 The software system shown is implemented.

[0072] For the simulation model of the digital measurement system, see image 3 , Figure 4 , taking the laser tracker as an example to build its measurement model, and give the simulation measurement method of the target point coordinates. There is a distance measuring sensor and two angle measuring sensors inside the laser tracker, which can measure the distance l, horizontal angle α and vertical angle β from the instrument to the measured target point P, forming polar coordinates P=(l, α, β) T . In the application of the c...

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 an assembly pose measurement precision pre-evaluation method based on a Monte Carlo method. The method is used to evaluate a fixing device connected with a mobile device in a plugging or butt joint mode, and the measurement of the relative pose of a large component in a simulation environment includes the measurement of a target point, the calculation of a key point, and the calculation of the relative pose. The method comprises the step that 1, a mobile device and a fixing device are placed on the same rail, the mobile device is moved to the position away from the fixing device by a set distance, and a laser tracker is placed on the side face between the mobile device and the fixing device. A distance measuring sensor and two angle measuring sensors are arranged in the laser tracker. In order to solve the problem of pose measurement precision pre-evaluation in large component digital assembly, the invention designs an assembly pose measurement simulation method. The digital measurement process of large component assembly is simulated through a digital measurement system simulation model, pose simulation measurement and assembly pose evaluation to evaluate whether the pose measurement precision meets the assembly requirement or not.

Description

technical field [0001] The invention relates to a method for pre-assessing assembly pose measurement accuracy based on a Monte Carlo method, relates to the field of digital measurement auxiliary assembly of large components, and is used for pose digital measurement simulation and pose measurement accuracy evaluation. Background technique [0002] In the fields of aviation, spaceflight and shipbuilding, their products are usually large in size, require high precision and complex processes. Assembly of large parts is a key step in the production process, and its primary task is to determine the relative position and attitude of the assembled parts, which requires the support of large-scale spatial measurement technology. At present, commonly used measuring instruments include laser tracker, iGPS, visual measurement, three-coordinate measuring machine, laser radar, etc. The essence of the measurement is to obtain the three-dimensional coordinates of the target point in the refe...

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): G01B11/00G01B11/03
CPCG01B11/00G01B11/03
Inventor 王圆圆尹慧峰李适王美清于浩
Owner BEIJING HANGTIAN XINFENG MECHANICAL EQUIP
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com