As one of the important applications of modern technology, the research on optimization of smart home products’ functional modules has been paid more and more attention. This paper constructs a knowledge model of smart home products based on user behavior data, uses the data as the basis for the functional design of smart home products, and applies the KANO model to analyze each demand in the user demand library. Based on the demand transformation method of QFD, the mapping relationship between personalized demands and product design parameters is established, and the correlation matrix of basic demand items and design parameters is constructed to realize the transformation of personalized demands. Applying the functional module optimization and design method proposed in this paper, we carry out the practice of optimizing the design of intelligent treadmill functional modules, and obtain the design requirements and design solutions of intelligent treadmill products. In terms of the review results, both experts and users rated the product within 4~5, which is a high overall rating.
