Hot comfortableness simulation model based on fuzzy neural network

Abstract

The invention discloses a thermal comfort simulation model from local to the whole body on the basis of fuzzy neural network, which pertains to functional clothing CAD technical field of computer simulation study field. The invention aims at overcoming the problem that the psychological and physiological parameters of the human body in the thermal comfort model are difficult to be accurately quantified and the complexity of the psychological system and the sensory system, by adopting fuzzy neural network model to build local thermal sensory model for each part of the body based on skin and core temperature and the change rate of the skin and core temperature to build the whole body thermal comfort model based on the thermal sensory of each part of body. The model, based on the psychological and physiological process of human thermal reaction and employing the method of simulation fuzzy neural network method, can correctly reflect the adaptability character of a sensor, forecast the sense of each part of the human body, reduce the difficulty of computer network modeling, increase analysis time, solve interference problems and ensure that the forecast of thermal sense can be more accurate.

Description

technical field [0001] The invention belongs to the technical field of functional clothing CAD in the field of computer simulation research, and in particular relates to a method for realizing thermal function prediction of clothing in functional clothing design. Background technique [0002] At present, the thermal comfort function of textile and clothing products has attracted people's attention day by day, and the requirement of developing functional clothing CAD in the clothing industry is also more and more urgent. At present, many scholars have done a lot of work in the research fields of heat and moisture transfer performance of textiles and human clothing heat and humidity simulation, and put forward relevant calculation and simulation models. For a given clothing structure and thermal environment, these models can simulate the thermal physiological state of the human body and the heat and moisture transfer process between the human body-clothing-environment. [000...

AI Technical Summary

Problems solved by technology

In the field of thermal comfort research, this is very important because accurate system transfer functions are difficult to model and accurate training data sets are not available

Images