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首页> 外文期刊>Advances in Engineering Software >Merging neural networks and topological models to re-engineer construction drawings
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Merging neural networks and topological models to re-engineer construction drawings

机译:合并神经网络和拓扑模型以重新设计施工图

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摘要

In this paper an approach is presented to digitize a drawing, to build up geometric and topologic models, to recognise construction parts and to interpret dimension lines and inscriptions. All recognized parts are transformed into a three-dimensional geometric model which provides all necessary geometric information for a product model. The recognition process of construction parts is based on a line search and topological analysis, which are not suitable for the recognition of drawing inscriptions and hand writings. Because dimension inscriptions deliver significant information about the dimensions of construction parts, a neural Kohonen network is implemented and adapted in order to recognise inscription text. Finally the gained information about dimensions is related to significant details of construction parts.
机译:在本文中,提出了一种方法来数字化图形,建立几何和拓扑模型,识别构造零件以及解释尺寸线和铭文。所有识别的零件都将转换为三维几何模型,该模型为产品模型提供所有必要的几何信息。建筑零件的识别过程基于线搜索和拓扑分析,不适合识别图形铭文和手写内容。由于尺寸铭文提供了有关建筑零件尺寸的重要信息,因此实现了神经Kohonen网络并对其进行了调整,以便识别铭文。最后,所获得的有关尺寸的信息与建筑零件的重要细节有关。

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