DecorPGNet: Functional Area Division and Layout Algorithm Model in Living Rooms of Chinese Apartment-Style Family Homes

In the context of rapid urbanization, Chinese families have set stricter standards for functionality and comfort in the design of living rooms in apartment-style residences. This trend profoundly affects the daily experience of residents. This article has achieved innovative division and layout optimization of the living room area through smart technology. Relying on the comprehensiveness and accuracy of the DecorCGCAD floor plan dataset, combined with an innovative data structure, we has developed a standardized data preprocessing and feature extraction process, significantly improving the consistency and efficiency of data processing. We use a logistic regression algorithm, which not only enhances the transparency and credibility of the model but also significantly improves the model’s predictive accuracy and spatial insight by introducing four key features (Space Balance Ratio, Entrance Line Ratio, Kitchen Threshold Distance and Balcony Threshold Distance) through innovative feature engineering. The model’s TOP5 accuracy rate has been increased to 97.3% and the TOP1 accuracy rate has reached 86.4%, fully proving its efficiency and reliability in predicting the layout of living spaces. Further, this article has ingeniously solved the conflict and balance between multiple objectives by applying a simulated annealing algorithm and innovative evaluation functions. The proposed Adaptive Search Region Candidacy Tactic algorithm strategy, with its excellent adaptability and flexibility to irregularly shaped spaces, greatly enhances the immediate optimization and adjustment capabilities of interior design. In terms of furniture layout strategy, we have optimized the use of space and improved the living experience by considering spatial layout, functional requirements and aesthetic principles. Moreover, through effective communication between designers and algorithmic models, we have enhanced the level of personalized design, making the design process more scientific and efficient. It is particularly worth mentioning that the panoramic rendering of the Binhu City community in Hangzhou vividly demonstrates the application of the research content in the display of interior design, providing a comfortable space suitable for family communication and entertainment. Overall, this article provides a comprehensive, scientific and practical solution for the field of interior design. It not only promotes technological advancement but also provides strong support for designers and researchers, opening up new possibilities for creating more humanized and intelligent living spaces.