Artificial intelligence presents an optimized alternative by performing problem-solving knowledge and problem-solving processes under specific conditions. This makes it possible to creatively examine various design alternatives under conditions that satisfy the functional requirements of the building. In this study, in order to develop architectural design automation technology using artificial intelligence, the characteristics of an architectural drawings, that is, the architectural elements and the composition of spaces expressed in the drawings, were learned, recognized, and inferred through deep learning. The biggest problem in applying deep learning in the field of architectural design is that the amount of publicly disclosed data is absolutely insufficient and that the publicly disclosed data also haves a wide variety of forms. Using the technology proposed in this study, it is possible to quickly and easily create labeling images of drawings, so it is expected that a large amount of data sets that can be used for deep learning for the automatic recommendation of architectural design or automatic 3D modeling can be obtained. This will be the basis for architectural design technology using artificial intelligence in the future, as it can propose an architectural plan that meets specific circumstances or requirements.

中文翻译：

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利用语义分割推论建筑图纸上的图纸元素和空间使用

人工智能通过在特定条件下执行解决问题的知识和解决问题的过程，提供了一种优化的替代方案。这样就可以在满足建筑物功能要求的条件下创造性地研究各种设计方案。在这项研究中，为了利用人工智能开发建筑设计自动化技术，通过深度学习来学习，认识和推断建筑图纸的特征，即建筑元素和图纸中表达的空间组成。在建筑设计领域中应用深度学习的最大问题是，公开数据的数量绝对不足，而且公开数据的形式也多种多样。使用本研究中提出的技术，可以快速轻松地创建工程图的标注图像，因此可以预期，大量数据集可用于深度学习，以自动推荐建筑设计或自动3D建模可以获得。这将是将来使用人工智能的建筑设计技术的基础，因为它可以提出满足特定情况或要求的建筑计划。