Список литературы

2518-1092

Научный результат. Информационные технологии

2518-1092

10.18413/2518-1092-2024-9-3-0-6

3560

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ И ПРИНЯТИЕ РЕШЕНИЙ

<strong>ПОДХОД К ВЕКТОРИЗАЦИИ ЧЕРТЕЖЕЙ КОНСТРУКТОРСКОЙ ДОКУМЕНТАЦИИ НА БУМАЖНОМ НОСИТЕЛЕ</strong>

<strong>APPROACH TO VECTORIZATION OF DRAWINGS OF DESIGN DOCUMENTATION ON PAPER</strong>

Басов

Олег Олегович

Basov

Oleg Olegovich

o.basov@acti.ru

Демин

Олег Дмитриевич

Demin

Oleg Dmitrievich

Носков

Дмитрий Александрович

Noskov

Dmitry Aleksandrovich

2024

9300

В работе предложен решение задачи векторизации и машинной интерпретации чертежей конструкторской документации на бумажном носителе, обеспечивающей возможность автоматизации переноса изображений изделий, элементов деталей и сборочных единиц в CAD-системы. Предложен ряд нейросетевых архитектур для обнаружения и распознавания основных элементов чертежа (рамки, основной надписи, спецификации, видов, проекций и разрезов), надписей, размерных и выносных линий, а также примитивов, непосредственно описывающих изделие. Для иерархической и взаимоувязанной векторизации предложен механизм семантической сегментации чертежей на основе графовой нейронной сети. Приведены результаты реализации основных этапов решения задачи векторизации конструкторских чертежей.

The work proposes a solution to the problem of vectorization and machine interpretation of drawings of design documentation on paper, which provides the ability to automate the transfer of images of products, parts and assembly units into CAD systems. A number of neural network architectures have been proposed for detecting and recognizing the main elements of a drawing (frame, title block, specification, views, projections and sections), inscriptions, dimension and extension lines, as well as primitives that directly describe the product. For hierarchical and interconnected vectorization, a mechanism for semantic segmentation of drawings based on a graph neural network is proposed. The results of the implementation of the main stages of solving the problem of vectorization of design drawings are presented.

конструкторская документациячертёжизделиевекторизацияграфовая нейронная сетьглубокое обучение с подкреплением

design documentationdrawingproductvectorizationgraph neural networkdeep reinforcement learning

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