Research On Intelligent Product Design Model Integrating Users’ Sensory Preferences Under Low Carbon Background

The rapid development of intelligent products has emitted a large amount of greenhouse gases such as carbon dioxide into the natural environment,seemingly causing severe impacts on the global environment.Low carbon has received enthusiastic attention in this context,and the transition from intelligent product design to green and low-carbon is becoming increasingly important.In addition,due to the strong interaction between intelligent products and users,users exhibit a large number of sensory preferences in terms of sight,hearing,taste,smell,and touch when using and experiencing intelligent products.The development and layout of intelligent products for these sensory preferences has become the key to the success of intelligent product design.In view of this,intelligent product design model integrating users’ sensory preferences under low carbon background is an urgent research issue to be addressed.However,there is still a lack of relevant research on this issue,such as the lack of effective methods to mine users’ sensory preferences,and the lack of effective methods to deal with and integrate sensory preference and non-sensory preference information.Therefore,this paper proposes an intelligent product design model integrating users’ sensory preferences under low carbon background.The specific contents are as follows:(1)Sensory/non-sensory preferences mining and integrated design for product deployment.Firstly,the users’ sensory and non-sensory preferences are mined through the topic mining model.Then,the sensory and non-sensory preferences are measured by sentiment analysis technology.Further,the sensory and non-sensory preferences are integrated to obtain the users’ product parameter preferences.(2)Intelligent product deployment based on integrated preferences and full life cycle measurement of carbon footprints.Firstly,according to the principles of intelligent product design,the product parameter specifications are designed according to the product parameter preferences.Secondly,the attribute values of the product parameter specifications are calculated.Then,the carbon footprints of the full life cycle of intelligent product design are measured.(3)Construction and solution of intelligent product deployment optimization model considering carbon constraints.Firstly,a multi-objective intelligent product deployment scheme optimization model is constructed with objectives of maximizing user satisfaction and minimizing cost,and with constraints including carbon cap,design,etc.Secondly,a genetic algorithm solution model is constructed for the optimization model to generate the corresponding product schemes.Based on the method proposed in this paper,the application analysis of the optimization design problem of HW company’s elderly smart bracelets is carried out,which shows the effectiveness and feasibility of the method.The conclusions of this paper are as follows:(1)Intelligent product design integrating users’ sensory preferences under low carbon background is an important research topic worthy of attention.In this paper,the research design and framework for an intelligent product design model integrating users’ sensory preferences under low carbon background are given,which provides guidance for solving related problems.(2)Intelligent product design based on sensory/non-sensory preferences is very helpful to improve the effectiveness of intelligent product solutions.There is a strong interaction between intelligent products and users.Users have personalized preferences at both sensory and non-sensory levels.These preferences reflect the overall needs and experience of users for intelligent products.Considering sensory/non-sensory preferences in intelligent product design is a key link to better meet user needs,improve product quality and competitiveness,and also a guarantee to improve the effectiveness of product schemes.(3)The use of multi-objective optimization model is very helpful to improve the accuracy of intelligent product design results.The use of multi-objective optimization model can effectively and reasonably deal with conflicting objectives and generate more accurate and reasonable intelligent product design schemes.The research work and results of this paper can provide a new way to solve the problem of intelligent product scheme design optimization,and help to enrich and improve the research on intelligent product design.