自驱动关节臂坐标测量机可视化监控平台设计与仿真
Design and Simulation of Visual Monitoring Platform of Self-driven Articulated Arm Coordinate Measuring Machine
杨洪涛 1孙璐瑶 2沈梅1
作者信息
- 1. 安徽理工大学机电工程学院;安徽理工大学矿山智能装备与技术安徽省重点实验室
- 2. 安徽理工大学机电工程学院
- 折叠
摘要
针对传统坐标测量机人工测量模式误差大、运动仿真平台三维可视化效果差的缺陷,以六自由度自驱动关节臂坐标测量机为研究对象,基于Unity 3D软件设计了一款自驱动关节臂坐标测量机三维可视化监控平台.利用SolidWorks软件建立测量机三维模型,联合3ds Max软件完成了三维模型的优化处理与导入,采用Unity 3D自带的UI组件搭建了可视化界面框架,编写C#脚本绑定模型零件,实现虚拟坐标测量机自驱动控制.研究内容包括三维建模与轻量化处理、模型加载、可视化监控平台界面设计、测量机运动仿真以及UDP通信实现数据实时传输.通过对自驱动关节臂坐标测量机虚拟可视化仿真平台的研究,实现测量机自驱动控制与动态测量实时监测,研究成果对三维可视化监控在测量机领域的应用具有重要意义.
Abstract
To address the defects of the traditional CMM manual measurement mode with large errors and poor 3D vi-sualization of the motion simulation platform,this paper designs a 3D visualization and monitoring platform for the self-driv-en articulated arm CMM with six degrees of freedom based on Unity 3D software.The 3D model of the measuring machine is established by using SolidWorks software,and the optimization processing and import of the 3D model is completed jointly with 3ds Max software.The visualization interface framework is built by using Unity 3D's own UI components,and C#scripts are written to bind the model parts to realize the self-driven control of the virtual CMM.The research includes 3D modeling and lightweight processing,model loading,visualization and monitoring platform interface design,measurement ma-chine motion simulation,and UDP communication to realize real-time data transmission.Through the study of the virtual vi-sualization simulation platform of self-driven articulated arm CMM,self-driven control of the measuring machine and real-time monitoring of dynamic measurement can be realized,and the research results have important significance for the appli-cation of 3D visualization and monitoring in the field of measuring machine.
关键词
可视化/自驱动/Unity/3D/UDP通信/测量机Key words
visualization/self-driven/unity 3D/UDP communication/measurement machine引用本文复制引用
基金项目
国家自然科学基金(51775163)
安徽省智能矿山技术与装备工程实验室开放基金(AIMTEEL202206)
安徽理工大学引进人才科研启动基金(2022yjrc100)
出版年
2024
NETL
NSTL
万方数据