Design as a Marked Point Process
Design as a Marked Point Process
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设计为标记点过程
DOI：
10.1115/1.4052844
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发表时间：
2022
影响因子：
3.3
通讯作者：
Quigley J
中科院分区：
文献类型：
--
作者：
Quigley J
尽管支持使用预测文本进行合成的人工智能 (AI) 系统已经很成熟，但机械设计方面还没有类似的技术。受预测系统的愿景启发，该系统可以从以前的设计中学习，并可以随着设计的进展以交互方式向设计者提供一系列已建立的功能替代方案，本文描述了一个智能系统的理论、实现和评估，该系统可以从一系列先前的设计中学习并使用空间统计形式生成推论。该形式将 3D 设计活动模型呈现为“标记点过程”，可以计算在特定位置添加特定功能的概率。由于每次添加新功能时生成的概率都会更新，因此随着设计的发展，预测将变得更加准确。这种方法允许 CAD 模型上的光标位置隐式定义对统计模型进行的每个查询的空间焦点。作者描述了统计模型的数学原理，该模型合并了产品系列现有设计中特征的出现频率。建立了工作的理论基础后，描述了通用的六步实施过程。然后使用从液压阀数据集生成的统计模型针对圆孔特征说明该过程。该论文描述了如何通过旋转和缩放来均匀化每个设计提取的孔特征的位置。结果表明，在通用零件系列（即具有共同结构的设计）中，标记点过程可以有效地预测新设计开发中的增量步骤。
Although artificial intelligence (AI) systems which support composition using predictive text are well established, there are no analogous technologies for mechanical design. Motivated by the vision of a predictive system that learns from previous designs and can interactively provide a list of established feature alternatives to the designer as design progresses, this paper describes the theory, implementation, and assessment of an intelligent system that learns from a family of previous designs and generates inferences using a form of spatial statistics. The formalism presented models 3D design activity as a “marked point process” that enables the probability of specific features being added at particular locations to be calculated. Because the resulting probabilities are updated every time a new feature is added, the predictions will become more accurate as a design develops. This approach allows the cursor position on a CAD model to implicitly define a spatial focus for every query made to the statistical model. The authors describe the mathematics underlying a statistical model that amalgamates the frequency of occurrence of the features in the existing designs of a product family. Having established the theoretical foundations of the work, a generic six-step implementation process is described. This process is then illustrated for circular hole features using a statistical model generated from a dataset of hydraulic valves. The paper describes how the positions of each design’s extracted hole features can be homogenized through rotation and scaling. Results suggest that within generic part families (i.e., designs with common structure), a marked point process can be effective at predicting incremental steps in the development of new designs.