首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >3D MEASUREMENT CONTROLLED BY A CAD MODEL-BASED MEASUREMENT PLANNING AND VISION SYSTEM
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3D MEASUREMENT CONTROLLED BY A CAD MODEL-BASED MEASUREMENT PLANNING AND VISION SYSTEM

机译:基于CAD模型的测量计划和视觉系统控制的3D测量

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Optical coordinate measurement systems will benefit from developments similar to those taking place in robots, namely off-line programming capability and intelligent sensors. Research work towards these goals is reported here. An experimental system with CAD model-based measurement planning and vision control has been constructed and its feasibility demonstrated. The system comprises a measurement planning tool, a measurement robot with vision guidance and a means of visualizing and comparing the measured results with the design data. The measurement planning tool is based on a commercial CAD system and enables the use of existing CAD models of the objects to be measured as a basis for planning. It generates a measurement model file (MMF) containing instructions for controlling the measurement robot, which is an optical coordinate measurement device based on the laser rangefinder principle and supplemented with a vision system for guiding the measurement to planned target points. The measured coordinate values can be compared with design values either graphically or numerically. The performance of the experimental system was demonstrated and evaluated. In the demonstration case a measurement sequence was planned and saved in the form of a MMF, whereupon the measurement robot was able to execute the sequence reliably according to the MMF and measure the planned target points with vision guidance. The pointing repeatability of the vision guidance function was 0.019 mRad (standard deviation), which is equal to 0.19 mm at a distance of 10 meters, and the corresponding pointing accuracy was better than 0.04 mRad. The 3D measurement had an average repeatability of 0.3 mm (standard deviation), and the absolute accuracy of averaged measurement results was better than ±1 mm (for x, y and z) in 81% of the cases. The next phase of the work will include piloting the system in an industrial application.
机译:光学坐标测量系统将受益于与机器人类似的发展,即离线编程功能和智能传感器。为实现这些目标而进行的研究报告在这里。建立了基于CAD模型的测量计划和视觉控制的实验系统,并证明了其可行性。该系统包括一个测量计划工具,一个带有视觉引导的测量机器人以及一种将测量结果与设计数据进行可视化比较的手段。测量计划工具基于商业CAD系统,并且能够使用要测量的对象的现有CAD模型作为计划的基础。它会生成一个包含用于控制测量机器人的指令的测量模型文件(MMF),该机器人是基于激光测距仪原理的光学坐标测量设备,并带有用于将测量引导至计划目标点的视觉系统。测得的坐标值可以图形或数字方式与设计值进行比较。实验系统的性能得到了证明和评估。在演示案例中,计划了测量序列并以MMF的形式保存,随后测量机器人能够根据MMF可靠地执行该序列,并在视觉引导下测量计划的目标点。视觉引导功能的指向重复性为0.019 mRad(标准偏差),在10米距离处等于0.19 mm,相应的指向精度优于0.04 mRad。 3D测量的平均重复性为0.3毫米(标准偏差),平均测量结果的绝对精度在81%的情况下优于±1毫米(对于x,y和z)。下一步工作将包括在工业应用中试用该系统。

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