Research And Implementation Of Intelligent Fitting System Function

In this paper, using the method of questionnaire investigation and research, value engineering analysis, database management and web design technology, starting from the demand of consumers and market, to improve the intelligent fitting system in line with market demand on the basis of the original RIIT system.The intelligent fitting system design is divided into two parts---the front desk customer system and the background management system, in order to better realize the system function, the front desk customer system be further divided into four parts: the user information system; Clothing product display; 3D mould and the fitting effect of the show; Invoicing and enterprise information browsing and so on. Background management system mainly is the backstage database the establishment and management, including one mould, garment, three dimensional the fitting effect database library, etc. Background management system main function is that the administrator can check the running status of the whole system, on the network platform of clothing information to modify, add, delete, and so on. At the same time processing, and management of customer requirements. System by the client and the background of effective integration and update the database information, access to customer's size information and buy, try it on, directly to the customer to show the 3D body model and 3D the fitting effect of help customers make buying decisions. After the customer to determine the purchase information, customer information related to purchase and try on after automatic processing and format conversion, sent directly to the background management system, so that the next time the customer purchase generated when the customer recommended list. To realize the rapid response of clothing retail to meet customer demand.This paper through the literature analysis and comparison for the current status of application of the intelligent fitting system at home and abroad and the analysis of the characteristics, summarizes the deficiency and the developing trend of the domestic system. And out of the dressing room itself, consumer and market required functions, first interview investigation, understanding consumer and market needs. On this basis, through the questionnaire survey and expert interview method to determine the intelligent functions of the system of the fitting, mainly using SPSS 20.0 software reliability and validity analysis, through factor analysis, determine the consumer and corporate demand for the fitting system. Then according to the force analysis of the value engineering analysis, balance the relationship between function and cost, determine the final article of the intelligent functions of the system of the fitting. Then the original system(RIIT system) operation flow, structure and function were analyzed, and finally concluded that need to increase the simulation reality the fitting, display the clothing store customer information and opinions, function. Through the human body size for different system parameters and the definition of different parameters of the series does not correspond to each other, based on related national standards and international standards, through mathematical modeling, curve fitting, to achieve reunification of the size parameters of the integrated system in human body, the corresponding data interface and fill a vacancy. According to different system data from different software can't translation, with tool software as the development platform, through the underlying data coding technology, realize the integration of data automatic conversion software interface in the system. The establishment of background database includes size, design, plate type libraries, library fabrics, details such as library. To realize the function of the system.In practice will improve the system combined with the actual situation of its application to "Three Gun" group to solve the problems in the enterprise the fitting, the customer service system, according to the customers to buy and try it on record, by filtering algorithm, calculating the recommendations of each piece of clothing for customers, according to the size of the recommended degree generated recommended list, to promote the customers' desire to consume.