| With the intensification of the greenhouse effect and the demand for production technology,heat strain and heat disease caused by high temperature environments widely exist in production and life. The thermoregulation model can predict the human body’s thermal physiological indexes and provide human bodily protection theoretical guidance for people working in high temperature environments. Although the existing models do not consider the influence of individual differences on the thermal physiological regulation of the human body, the study shows that there are significant individual differences in thermoregulation of the human body.Therefore, considering the individual difference in human thermal physiology regulation, the establishment of individual difference human thermal physiology regulation model is an important means of scientific and reasonable human thermal protection. Based on the predicted heat strain (PHS) model, the simulation and experimental research considering the influence of individual differences on human thermal physiological regulation was carried out:Based on the PHS model, the IPHS model was established by considering the influence of individual difference factors (height, weight, gender, age) on human thermophysical parameters and thermoregulation. To verify the effectiveness of the improved model, the experimental conditions (3 cases, 9 conditions, 5I subjects) in the literature were input into the PHS model and IPHS model, and then the predicted values of the model were compared with the experimental values. The results show that the IPHS model has better prediction performance than tte PHS model. The maximum prediction differences of the core temperature, skinht temperature, and sweating are less than 1.0 ℃, 1.6 C, and 10 g. respectively. The IPHS model has a better prediction performance for core temperature (PHS: 0.98 C vs. IPHS: 0.55 C) and sweat volume (PHS: 335.7 g vs. IPHS: 8.9 g) than the PHS model.To investigate the influence of body fat on objective parameters and subjective evaluation.a human trial was carried out among subjects with different body mass indexes(BMI).The experimental results show that the BMI difference could cause a statistical difference in the physiological and psychological responses of subjects.There were statistically differences in core temperature,total sweating loss,thermal comfort,clothing wetness,thermal fatigue degree,and mean skin temperature at the initial stage(0-10 min)between overweight and thin subjects(p<0.05)under medium metabolic rate conditions(35 ℃,50 % RH,80/140/200 W/m2);There were statistically differences in core temperature,total sweating loss,clothing wetness and average skin temperature at the initial stage(0-10 min)between overweight and lean subjects(p<0.05)under the condition of high metabolic rate(32.2±0.6 ℃,54.0±3.5 % RH,290 W/m2).To fully verify the prediction performance of the IPHS model,medium and high metabolic rate experiment conditions were input into the PHS model and IPHS model,and the experimental and simulated values were compared.The results showed that the IPHS model was significantly better than the PHS model in predicting the core temperature of overweight and thin subjects in medium and high metabolic rate experiments(p<0.001).The IPHS model can improve the prediction accuracy and provide theoretical support for safety evaluation and protective clothing development in high temperature environments. |
