Modular design of smart home under the concept of whole-house customization integration

Abstract

Abstract Digital empowerment of home product design and manufacturing integration, to achieve the whole process of personalized customization of home products innovative design. Using big data for user analysis, we obtained functional demand data for smart home modules, and 28.5% of user demand is reflected in cell phone interconnection. Using the KANO model, user customization demands can be calculated to form basic and excitement type demand expectations represented by A and M. Then based on the fuzzy QFD method for demand raw data conversion, to get the initial weights and weighted weights of each demand item, taking A14 home space utilization efficiency as an example, the initial weights and weighted weights of A14 are 0.66 and 0.10, respectively, and the importance of demand sorted seventh. Combined with the specific application of modular design in smart homes, the modular design of smart homes is verified. Further adjustments should be made to enhance the innovation degree of smart homes.