Name
Abstract | ||
|---|---|---|
Physiological studies have shown that when people are in thermal comfort, their thinking, observation and operation skills are in the best state. At present, the relatively perfect models of human thermal comfort are based on the research of physiology and psychology of Westerners. However, there are great differences in thermal regulation parameters such as body size and composition between Chinese and Westerners. For example, there is a big difference between the standard human body model in China and the standard human body model in the West. Moreover, the differences in social and natural environment between China and the West lead to some differences in thermal psychology and preferences between Chinese and Westerners. These differences will affect the thermal sensation of the human body in the environment. Therefore, the establishment of a human body model based on the thermal physiological and psychological characteristics of the Chinese people is of great value to improve the prediction accuracy of the thermal comfort state of the Chinese people. Through collecting a large number of basic data of human thermal sensation in China, this paper studies the difference of demand for environmental thermal comfort among different populations. The results show that children feel the hottest in the same thermal environment, followed by "young (adult) men", "young (adult) women" and "old people" feel the coldest. Generally speaking, the test results are correct. The lower the temperature, the greater the air velocity, the colder the feeling, and the less the influence of humidity on comfort. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-20494-5_25 | ADVANCES IN MANUFACTURING, PRODUCTION MANAGEMENT AND PROCESS CONTROL |
Keywords | DocType | Volume |
Thermal comfort,Different populations,Perception characteristics | Conference | 971 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Wang | 1 | 139 | 53.65 |
| Wei Li | 2 | 111 | 21.02 |
| Chaoyi Zhao | 3 | 0 | 7.10 |
| Yun Qi | 4 | 0 | 0.68 |