Reducing the sensitivity to 3D scanning noises in measurement of planar surfaces

降低平面测量中 3D 扫描噪声的敏感性

• 批准号: 520969-2017
• 负责人: Barari, Ahmad
• 金额: $ 1.82万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639894
• 关键词: Reducing; sensitivity; 3D; scanning; noises

Coordinate metrology is the main inspection method for product or process control in various manufacturingsystems today. The accuracy and reliability of inspection directly affect the quality of products or processes, therate of failure, and the production waste. Recent developments in optical coordinate metrology allows fastcapturing of large amount of 3D data points from the surface of the measured objects which is highly desiredfor dynamic measurements in automated production lines. However, the accuracy of measurement data highlydepends on various sources of noises during the surface scanning process. The noisy points in the scannedpoint cloud increase the amount of uncertainty at different areas in the 3D point cloud, which affects therobustness of the measurement. Additional challenges are encountered when the texture of scanned surfaces arehighly reflective. As there is no prior knowledge of how the noise is distributed in the point cloud, the optimumdetermination of model parameters is often a difficult and challenging process. This project investigates anapproach to improve the reliability and accuracy of the measurement by determining the number and locationof surface measurement points. It aims to find a solution for the planar surfaces and flatness evaluation becausethe flat surfaces and patches are the most common geometric features in various manufacturing products.Bluewrist Inc. is a Canadian - based company focused on automated measurement and production qualitycontrol systems who primarily services the advanced manufacturing sectors. Bluewrist's main product includein-line dimensional measurement systems, robotic guidance system, and automation engine andcommunication software. This project allows Bluewirst to develop a more reliable platform for coordinatemetrology and 3D scanning that can be implemented in their automated coordinate metrology products andservices to its clients. This research will assist Bluewrist to develop customized methodologies to reduce thelevel of metrology uncertainty for various Canadian industrial sectors. It will also have a direct impact ontraining of highly qualified personnel who can become the leaders of Canada's future metrology industry.

协调计量学是当今各种制造系统中产品或过程控制的主要检查方法。检查的准确性和可靠性直接影响产品或过程的质量，失败和生产浪费。光学坐标计量学的最新发展允许从测得的对象的表面快速捕获大量的3D数据点，这是自动生产线中的动态测量值。但是，在表面扫描过程中，测量数据的精度高度依赖于噪声的各种来源。扫描点云中的嘈杂点增加了3D点云中不同区域的不确定性量，这会影响测量的影响。当扫描表面的质地反射高度时，会遇到其他挑战。由于没有先验了解噪声如何在点云中分布的知识，因此模型参数的最佳确定性通常是一个困难且具有挑战性的过程。该项目通过确定表面测量点的数量和位置来调查，以提高测量的可靠性和准确性。它的目的是为平面表面和平坦的评估找到解决方案，因为平坦表面和补丁是各种制造产品中最常见的几何特征。BlueWristInc.是一家基于加拿大的公司，专注于自动测量和生产质量control Systems，他们主要为高级制造业提供服务。 Bluewrist的主要产品包括在线维度测量系统，机器人指导系统和自动化引擎和通信软件。该项目允许BlueWirst开发一个更可靠的坐标和3D扫描平台，该平台可以在其自动坐标的计量产品和服务中对其客户进行实施。这项研究将有助于蓝狼制定定制的方法，以减少各个加拿大工业部门的计量学不确定性。这也将对高素质的人员进行直接影响，这些人员可以成为加拿大未来计量行业的领导者。