关键词: 热湿舒适性, 消防体能训练服, 相变面料, 脑电图技术, 功率谱密度, 主观评价

Abstract: Fire physical training clothing is the base layer clothing that is most closely in contact with the skin during the daily training of firefighters. In the hot summer, firefighters have to spend a long time in a hot and humid environment for physical training. A large amount of physiological heat accumulates in the training suit, so that the ability of systemic circulation is reduced, resulting in heat regulation dysfunction. In severe cases, firefighters may experience dizziness, convulsions and other physiological reactions. In the process of visiting and researching Shengzhou Fire and Rescue Brigade in Shaoxing city, Zhejiang province and Baiyang Fire and Rescue Brigade in Hangzhou, Zhejiang province, we learned that firefighters hope to optimize the thermal-wet comfort performance of training clothing to improve their wearing comfort, improve heat stress problems, and improve training efficiency. However, in the past research on the comfort of fire physical training clothing, the traditional evaluation system is mainly used, and the results obtained have certain limitations.
To solve the problem of heat stress during firefighters' daily training and discuss the influence of phase change fabric on human thermal-wet comfort, this study is based on the research basis of electrophysiology and basic characteristics of EEG, and starts from the evaluation dimension of both objective EEG experiment and subjective perception. Firstly, the study conducts EEG monitoring experiments on the subjects in five different dressing states. The power spectral density of the subject is extracted by fast Fourier transform in frequency domain analysis. This study selects the average power spectral density of α wave and β wave, which can reflect the mental state of human brain as the index of EEG data to characterize the intensity of brain wave rhythm. Power spectrum analysis and statistical analysis are used to investigate the difference in intensity of α and β waves associated with mood. On this basis, the subjective score after normalization is used as the subjective comfort evaluation index, and the relationship between the subjective evaluation index and the objective EEG index is discussed by correlation analysis. On the whole, the state of dressing under hot and wet conditions affects the mood and comfort of the participants and the power spectral density of α and β waves can be used as the evaluation index of EEG. In the condition of wearing PCM fire physical training clothing, the intensity of α wave is the highest, the brain positive emotion is more than other states, the intensity of β wave is the least, and the tension and irritability are the least. The relationship between the subjective evaluation index and the EEG data index shows that the α wave intensity would be inhibited and the β wave intensity would be higher when the subjects thought that the humidity and heat sensation and discomfort caused by wearing the fire physical training suit are stronger.
Questionnaire survey is a traditional and important research method, and EEG technology can provide some technical help for objectively quantifying subjects' emotions. EEG data can provide more quantitative and objective data support. Through the analysis of the relationship between EEG data and subjective comfort evaluation index, the thermal and humid comfort feeling under different dressing conditions can be explored from both physiological and psychological dimensions. Such research results can provide reference for the study of clothing comfort evaluation by using EEG technology.

Key words: thermal-wet comfort, fire physical training clothing, phase change material, EEG technology, power spectral density, subjective assessment