A study of interactive furnishing design in the context of digitalization with a view to functional requirements

Firstly, an optimization algorithm based on planar design constraints is proposed, which can automatically generate interior space furnishings. The main idea of the algorithm is to represent the room units in interior space furnishings with multiple rectangular combinations of polygons and to translate the constraints and rules in furnishing design into relevant rectangular constraints. In order to improve the applicability of the method, this study also proposes a hierarchical algorithm flow based on the above method. Then, the interactive toilet aid design and the new intelligent wheelchair design, and the intelligent and ecological interior furnishing design are used as examples to explore the practice of interactive furnishing design based on multi-functional needs, which meet the emotional, psychological, and physiological needs of users. Based on the data analysis of furnishing design by hierarchical algorithm, the results show that the average score of ordinary users in the comparison results with Humans is 13.37 the average score of designers is 11.72; the MIQP model can be used for interior space furnishing design of residential buildings and can be extended to apply to space furnishing of large-scale scenes, MIQP method is much higher than existing methods in terms of efficiency The MIQP method is much more efficient than existing methods. This study improves the quality and level of furnishing design and promotes innovation in the design industry.