Thermal safety risk warning system for elderly people based on thermoregulation model

doi:10.16265/j.cnki.issn1003-3033.2025.01.0759

Abstract

Abstract:

A thermal safety warning system was established based on a thermoregulation model to mitigate the thermal safety risk for elderly people under high-temperature conditions. Firstly, the improved model suitable for the elderly was established by replacing the physical model and adjusting the active and passive systems in the classical model. The improved model was validated using publicly available experimental data. Secondly, the model simulated the temperature changes in elderly people in high-temperature environments. Statistical analysis was used to assess the impact of various parameters on thermal safety. Finally, based on the analysis results and the improved model, a thermal safety risk warning system for elderly people was developed. The warning system was demonstrated through a case study. Results indicate that the improved model accurately simulates the body temperature of elderly people, with a root mean squared error less than 0.12 ℃. Physical activity intensity significantly impacts thermal safety, with a standardized regression coefficient β larger than 0.8. As heat exposure time increases, the impact of activity intensity on thermal safety is decreased (β decreases from 0.945 to 0.806), while the influence of environmental factors is increased (β of temperature and humidity increases from 0.249 and 0.137 to 0.370 and 0.348). In the case study, the safe duration of continuous activities for the resting and working elderly people in Baoding/Hong Kong is 172/175 minutes and 108/122 minutes, respectively. The highest thermal safety risk period for elderly people on that day is between 17:00 and 18:00.

Key words: thermoregulation model, elderly people, thermal safety, risk warning system, activity intensity

CLC Number:

X912安全生理学

ZHENG Guozhong, JIA Ruilin, YI Wenwen, YUE Xinru. Thermal safety risk warning system for elderly people based on thermoregulation model[J]. China Safety Science Journal, 2025, 35(1): 25-31.

Figures/Tables 9

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活动类型	PAR
躺下休息	1.0
缝纫、编织、开车,洗漱	1.8
站立:轻度家务、做饭、散步	2.4
站立:洗澡、轻度活动、步行	3.3
站立:做家务、农活、擦窗户	4.4
跑步、跳舞、适度游泳、骑行	5.2

分段编号	身体部位	长度/m		表面积/m²		核心层比热容/(kJ·K^-1)	表皮层比热容/(kJ·K^-1)	导热系数/ (W·K^-1)	热受体分布系数	核心温度/℃	表皮温度/℃
分段编号	身体部位	男性	女性	男性	女性	核心层比热容/(kJ·K^-1)	表皮层比热容/(kJ·K^-1)	导热系数/ (W·K^-1)	热受体分布系数	核心温度/℃	表皮温度/℃
0	头部	0.113	0.100	0.103	0.080	6.092	0.667	1.60	0.055	37.11	35.08
1	颈部	0.077	0.070	0.025	0.016	1.994	0.205	0.91	0.014	36.72	35.25
2	胸部	0.267	0.178	0.167	0.111	36.417	1.560	1.79	0.149	36.92	34.68
3	背部	0.246	0.164	0.153	0.061	33.220	1.436	1.64	0.132	36.97	34.60
4	骨盆	0.338	0.318	0.210	0.273	15.834	1.967	3.08	0.212	37.04	34.82
5/8	左/右肩	0.305	0.249	0.096	0.121	6.011	0.446	1.50	0.023	36.30	34.34
6/9	左/右臂	0.235	0.204	0.058	0.050	3.964	0.297	0.98	0.012	35.85	33.96
7/10	左/右手	0.181	0.167	0.041	0.034	0.543	0.311	2.19	0.092	35.07	34.42
11/14	左/右大腿	0.343	0.383	0.274	0.274	21.245	1.335	2.48	0.050	36.83	34.15
12/15	左/右小腿	0.365	0.325	0.103	0.096	10.139	0.597	1.33	0.025	36.63	34.03
13/16	左/右脚	0.229	0.221	0.050	0.050	0.742	0.378	3.38	0.017	34.83	34.22

场景	温度/℃	湿度/%	年龄/岁	体质量/kg	身高/cm
1	36.5	20	65	80.1	180
2	36.5	60	65	80.1	180
3	40.0	40	66	63.2	165
4	40.0	25	68	80.2	173

热暴露时长/h	决定系数	P	β
热暴露时长/h	决定系数	P	温度	湿度	PAR
0.5	0.972	<0.001	0.249	0.137	0.945
1	0.941	<0.001	0.296	0.222	0.900
2	0.912	<0.001	0.337	0.294	0.849
4	0.901	<0.001	0.360	0.333	0.817
8	0.900	<0.001	0.370	0.348	0.806