Intelligent Design System of Indoor Space Based on Data Analysis Algorithm

With the continuous improvement of people's demand for housing, the rational planning of indoor space has become a current research boom. This research aims to explore the intelligent design system of indoor space based on data analysis algorithm, and verify its superiority and practicability through comparative experiments. The main work of this paper includes the research and introduction of the basic concepts of interior space design and the relevant theoretical knowledge of data analysis algorithms. The system uses data analysis and other technologies to realize automatic analysis and optimal design of indoor space. Through comparative experiments, this study quantitatively analyzes the air-conditioning control, lighting control, curtain control, audio control and failure rate of the smart home module group and the traditional home group. The results show that the former performs better, and the failure rate is stable at 1.5%, which verifies the superiority and practicability of the proposed system.