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首页> 外文期刊>Journal of ambient intelligence and humanized computing >A rapid virtual assembly approach for 3D models of production line equipment based on the smart recognition of assembly features
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A rapid virtual assembly approach for 3D models of production line equipment based on the smart recognition of assembly features

机译：基于装配特征的智能识别的生产线设备3D模型的快速虚拟装配方法

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摘要

Because of the large quantity of three-dimensional (3D) models and the manual operation process used for their virtual assembly, production line assembly design is time consuming and cannot readily meet the requirements of normalization. To address these problems, we propose a rapid virtual assembly approach based on the smart recognition of assembly features and present a system based on this concept. A 3D-two-dimensional (2D)-3D assembly feature recognition mode is proposed. The 3D models are first standardized using a standardization algorithm. The standardized 3D models are subsequently divided into six half parts, and each half part is projected into the coordinate plane to obtain its 2D projection drawing. The contours of the 2D projection drawings are obtained via a contour-recognition algorithm, and segments in contours are classified into different groups according to collinearity. A lightweight 3D model of the original 3D model is created through a series of Boolean operations. Assembly features can be obtained by matching the lightweight 3D model with the original 3D model. The recognized assembly features are used in the rapid assembly system to perform the assembly, and the constraints among these features are automatically added when two models are in proximity. Three comparison tests are conducted, and the results show that the system simplifies the assembly process, greatly increases the assembly design efficiency of the production line, and simultaneously reduces the workload and operational complexity.
机译：由于存在大量的三维（3D）模型和用于虚拟装配的手动操作过程，因此生产线装配设计非常耗时，无法轻松满足标准化要求。为了解决这些问题，我们提出了一种基于装配特征智能识别的快速虚拟装配方法，并提出了基于此概念的系统。提出了一种3D二维（2D）-3D装配特征识别模式。首先使用标准化算法对3D模型进行标准化。随后将标准化的3D模型分为六个半部分，并将每个半部分投影到坐标平面中以获得其2D投影图。通过轮廓识别算法获得2D投影图的轮廓，并根据共线性将轮廓中的线段分为不同的组。通过一系列布尔运算可创建原始3D模型的轻量级3D模型。通过将轻量级3D模型与原始3D模型进行匹配，可以获得装配特征。快速装配系统中使用了公认的装配特征来执行装配，并且当两个模型接近时，会自动添加这些特征之间的约束。进行了三个对比测试，结果表明该系统简化了装配过程，大大提高了生产线的装配设计效率，同时减少了工作量和操作复杂性。

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