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Evaluation on Digital Design System of Assembled Building Based on Machine Learning Algorithm

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DOI: 10.23977/jaip.2026.090114 | Downloads: 0 | Views: 9

Author(s)

Peng Liu 1, Gongxing Yan 1, Xia Zhou 1

Affiliation(s)

1 School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou, 646000, Sichuan, China

Corresponding Author

Gongxing Yan

ABSTRACT

In manufacturing, high-quality products require a combination of efficient digital design tools, intelligent automated production equipment, and integrated online collaborative management systems. This study proposes an intelligent design and automated production solution for prefabricated buildings and develops a digital design system for prefabricated buildings, along with its supporting intelligent design software and a full-process online collaborative management platform. Low cost and high standardization are the most important characteristics and advantages of prefabricated buildings, which is why they are widely used globally. Based on machine learning algorithms, this study investigates the digital design system for prefabricated buildings, analyzes existing problems, and proposes suggestions related to the application of the digital design system to achieve full-process information management in prefabricated building construction.

KEYWORDS

Assembled Building; Machine Learning Algorithms; Digital Design; Applied Science

CITE THIS PAPER

Peng Liu, Gongxing Yan, Xia Zhou. Evaluation on Digital Design System of Assembled Building Based on Machine Learning Algorithm. Journal of Artificial Intelligence Practice (2026). Vol. 9, No. 1, 122-131. DOI: http://dx.doi.org/10.23977/jaip.2026.090114.

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