Data analysis and visualization methods in the research of clothing thermal insulation
To clarify the ideas for clothing thermal resistance research and explore better visual-ization methods,relevant literature was reviewed from the four stages of experimental design,thermal resistance evaluation,data processing,and data analysis.The commonly used data anal-ysis and visualization methods were identified.The research indicates that the thermal resistance of clothing is influenced by various factors such as environment,clothing,and the human body.It is primarily measured using thermal manikin or wear trails.The data is typically presented in the form of two-dimensional images or groups of figures,and is suitable for presenting results with less than 3 influencing factors.To accurately predict clothing thermal resistance,artificial intelligence methods can be employed to consider more influencing factors.This can provide sci-entific guidance for clothing selection,performance optimization,and improvement of human thermal comfort in different environments.
万方数据
维普
