To improve the efficiency of medical staff in surgical operations and meet the physiological and psychological needs of surgeons, nurses, and patients during the operations, surgical auxiliary equipment is designed. This paper builds a design research model based on AHP (analytic hierarchy process), QFD (quality function deployment), and Platts conceptual decision matrix (PUGH decision matrix). Firstly, the user requirements are weighed through AHP analysis, and the design elements are prioritized based on the weight values. Then, QFD is used to analyze the design features of surgical auxiliary equipment from the aspects of structure, function, and shape, and a house of quality is established to get the significance of design features. Finally, the PUGH decision matrix is constructed to screen and evaluate multiple schemes, and the optimal design scheme is obtained. From the perspective of user requirements and product design characteristics, the significance of design elements is analyzed and calculated, which guides the design practices to complete the innovative design of surgical auxiliary equipment. The combination of AHP, QFD, and PUGH decision matrices are introduced into the innovative design of surgical auxiliary equipment, effectively avoiding subjective factors in product design, improving the scientific nature of the design, and providing new methods and ideas for the design and research of surgical auxiliary equipment and similar products.

To solve the difficulties in obtaining user requirements and establishing objective and effective product modeling constraints in product design , A research model of design method based on user perceptual imagination and product modeling constraints was constructed. Firstly, based on the collection of user information, the KJ method is used to obtain the accurate perceptual cognition of users about the product. To address the problem of strong subjectivity of data acquisition in the process of user imagery cognition research, on the basis of user perceptual cognition, the product perceptual imagery semantics is targeted to obtain user perceptual demand information.Then, the user data and the user perceptions obtained from the interviews are combined, and the user perceptual needs are derived through filtering. Next, the complex constraint theory is used as a guide to summarize the design constraint problem and establish the product modeling constraints. Finally, by integrating product perceptual imagination and morphological constraints, product design positioning is derived. The method model of this study can accurately derive a product design orientation based on user needs and objective constraints of the product, and improve design effectiveness and accuracy.

Collaborative Kansei Engineering is to achieve design optimization through multi-party collaboration and resource sharing, which can solve the problems of complex processes, large span of specialties, and long development cycles in each stage of design research. In this study, a collaborative design team was firstly formed based on the expertise, capability and working experience of different groups, and collaborative Conceptual Engineering was used to exchange and share knowledge on product design perceptual information and product attributes in order to speed up the decision-making process and improve design efficiency. Then, starting from the design task workflow, the tasks are decomposed and optimized according to certain logical relationships to achieve efficient design resource matching and improve the execution efficiency and controllability of collaborative design. Finally, the Design principles of Collaborative Kansei Engineering is constructed by considering the personal information of design resources, collaborative cooperation ability and other information. The results show that the approach to Internet product design based on Collaborative Kansei Engineering can improve the correct rate of decision evaluation in the product design process and improve the design efficiency.