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<p>Indoor intelligent assistive technology has been widely used in space layout design optimization. This paper proposes a heuristic scene space layout generation method based on the smart evolution of scene space AI with WFC and deep network, joint wave function collapse algorithm, as well as two deep neural networks to generate the layout wireframe diagram while strangling reasonable boundaries and predicting functional semantic labels for the layout subspace. Applying the method of this paper to the office space layout optimization design, the results show that 95.68% of the area of the office and conference room has a lighting coefficient greater than 2%, and 85.78% of the area of the design room has a lighting coefficient greater than 3%. Ordinary white glass can be utilized in the design room to enhance the lighting quality, with a lighting coefficient of 2.87 and a compliance rate of 100%. The inset atrium space has a greater percentage of indoor thermal comfort area and a faster air flow rate. In this paper, 3DsMax+AI intelligent assistance and other technologies are used to simulate the layout design of the office space and realize the optimization of its layout design.</p>
</abstract>

Indoor intelligent assistive technology has been widely used in space layout design optimization. This paper proposes a heuristic scene space layout generation method based on the smart evolution of scene space AI with WFC and deep network, joint wave function collapse algorithm, as well as two deep neural networks to generate the layout wireframe diagram while strangling reasonable boundaries and predicting functional semantic labels for the layout subspace. Applying the method of this paper to the office space layout optimization design, the results show that 95.68% of the area of the office and conference room has a lighting coefficient greater than 2%, and 85.78% of the area of the design room has a lighting coefficient greater than 3%. Ordinary white glass can be utilized in the design room to enhance the lighting quality, with a lighting coefficient of 2.87 and a compliance rate of 100%. The inset atrium space has a greater percentage of indoor thermal comfort area and a faster air flow rate. In this paper, 3DsMax+AI intelligent assistance and other technologies are used to simulate the layout design of the office space and realize the optimization of its layout design.

Research on Intelligent Optimisation Strategies for Interior Space Layout Design with the Aid of 3DsMax+AI

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Indoor intelligent assistive technology has been widely used in space layout design optimization. This paper proposes a heuristic scene space layout generation...

Research on Intelligent Optimisation Strategies for Interior Space Layout Design with the Aid of 3DsMax+AI

Data publikacji: 10 cze 2024

Zakres stron: -

Otrzymano: 01 mar 2024

Przyjęty: 01 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1478

Słowa kluczowe
Deep network, AI intelligent evolution, Wave function collapse, Space layout design

© 2024 Songlin Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Intelligent Optimisation Strategies for Interior Space Layout Design with the Aid of 3DsMax+AI

Data publikacji: 10 cze 2024

Zakres stron: -

Otrzymano: 01 mar 2024

Przyjęty: 01 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1478

Słowa kluczoweDeep network, AI intelligent evolution, Wave function collapse, Space layout design

© 2024 Songlin Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Deep network, AI intelligent evolution, Wave function collapse, Space layout design