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

作　　者：邵思程 刘明杰 SHAO Sicheng;LIU Mingjie(Quzhou College of Technology,Quzhou 324000,China)

机构地区：[1]衢州职业技术学院,浙江衢州324000

出　　处：《农机使用与维修》2024年第4期24-26,共3页Agricultural Machinery Using & Maintenance

基　　金：衢州市科技计划指导性项目(2023ZD125)。

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。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 productivity,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 

分 类 号：TH133.3[机械工程—机械制造及自动化]