基于数字孪生技术下轴承表面缺陷检测与分拣系统设计
Design of Bearing Surface Defect Detection and Classification System Based on Digital Twin Technology
邵思程 1刘明杰1
作者信息
- 1. 衢州职业技术学院,浙江 衢州 324000
- 折叠
摘要
数字孪生技术结合数字模型和实物、过程,创建一个数字模型或虚拟的"孪生",通过数据、传感器和模拟等手段与实际对象进行交互,有助于提高生产效率、降低成本,并提供更多的实时数据以支持决策制定.该研究以轴承表面缺陷检测与分类为研究目标,引入数字孪生技术,对系统软件开发环境、功能模块及数据库进行设计,并对系统信息通信管理、检测分拣和交互仿真模块进行控制程序设计与优化.通过数字孪生技术的应用,该系统有望提供高效准确的轴承表面缺陷检测,为工业生产领域的质量控制和维护提供有力支持.
Abstract
Digital twin technology combines digital models and real-world objects and processes to create a digital model or virtual"twin"that interacts with the actual object through data,sensors,and simulation,helping to improve produc-tivity,reduce costs,and provide more real-time data to support decision-making.This study takes the bearing surface defect detection and classification as the research objective,introduces the digital twin technology,designs the system software development environment,functional modules and database,and designs and optimizes the control program for the system information communication management,detection and sorting,and interactive simulation modules.Through the application of digital twin technology,the system is expected to provide efficient and accurate detection of bearing surface defects,and provide powerful support for quality control and maintenance in industrial production areas.
关键词
数字孪生技术/轴承/表面缺陷/检测/分拣/系统Key words
digital twin technology/bearings/surface defects/detection/classification/systems引用本文复制引用
基金项目
衢州市科技计划指导性项目(2023ZD125)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据