Parametric model-based approach to multidimensional nonlinear interior landscape design

Multidimensional nonlinear interior landscape design is a pivotal field in modern interior design, playing a crucial role in enhancing the functional and aesthetic value of space on a global scale. Given the sheer volume of data and parameters involved in the design process, this study developed a method based on parametric modeling to address the specific needs of multidimensional nonlinear interior landscape design. The set-invariant moment generation model is innovatively introduced to analyze the characteristics of MDNLL. The application of this model significantly improves the recognition accuracy of landscape features and provides more accurate data support for design. It is imperative to note that the structure optimization process is thoroughly researched and designed for the development of composite board structures in landscape design. The development of composite board is completed by calculating the Nu-Mu curve. This process not only ensures the stability and load-bearing capacity of the structure, but also provides a solid technical foundation for landscape design. The experimental results indicated that in the performance test of composite panel analysis, the calculation accuracy of the research method was 98.4% when the number of blocks was 25. In the performance test of landscape modeling analysis, the computation time of the research method was 132ms when the number of landscape clusters was 10. In the analysis of the proposed adoption rate of the output design scheme, the proposed adoption rate of the output scheme of the research method fluctuated between 69% and 82%. This indicates that the research method can effectively provide data reference and technical support for multidimensional nonlinear indoor landscape design, and has better operational efficiency.