location:Home > 2023 Vol.6 Aug.N04 > Low-carbon layout design of indoor soft furnishings based on A* algorithm

2023 Vol.6 Aug.N04

  • Title: Low-carbon layout design of indoor soft furnishings based on A* algorithm
  • Name: Zeng Fan
  • Company: 1.Sichuan University of Media and Communications,lnstitute of art design and animation, chengdu 610021 2.Assumption University,999003 Thailand
  • Abstract:

     In order to avoid the layout position of indoor soft furnishings deviating from the preset coordinate axis, the low-carbon layout environment of indoor soft furnishings was designed to meet the visual requirements while ensuring the aesthetics of the scene. The low-carbon layout design of indoor soft furnishings based on A* algorithm was studied. The scene information is extracted by using the indoor layout framework, and the spatial artistic layout model of indoor soft furnishings environment is constructed by coordinate transformation. The objective function of spatial art layout optimization is established to realize the low-carbon layout of indoor soft furnishings. The experimental results show that the color layout effect of indoor home soft clothes is good by using the designed method, which makes testers feel happy. The accuracy of layout design evaluation is high, which proves the effectiveness of this research method.


  • Keyword: A* algorithm; Indoor soft furnishings; Low carbonization; Layout design;
  • DOI: 10.12250/jpciams2023090618
  • Citation form: Zeng Fan.Low-carbon layout design of indoor soft furnishings based on A* algorithm [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.79-83
Reference:

References

[1] Sun Y . Design and Optimization of Indoor Space Layout Based on Deep Learning[J]. Mobile Information Systems, 2022, 2022(11):1-7.

[2] Li Y P , Zhang L . Kinect-Based Simulation of Multi-Level Layout of Interior Spatial Features[J]. Computer Simulation, 2021, 38(5):357-361.

[3] Hassanpour S , Gonzalez V , Liu J , et al. A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation[J]. Advanced Engineering Informatics, 2022, 51(1):101-117.

[4] Luperto M , Amigoni F . Reconstruction and prediction of the layout of indoor environments fromtwo-dimensional metric maps[J]. Engineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation, 2022, 113(113):104-120.


Tsuruta Institute of Medical Information Technology
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