验证一款先进的智能手机应用程序,用于在寒冷环境中提供热咨询.
Jakob Eggeling1, Christofer Rydenfält2, Amitava Halder3
1Thermal Environment Laboratory, Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Lund University, Sölvegatan 26, 223 62, Lund, Sweden. jakob.eggeling@design.lth.se.
International journal of biometeorology
|October 13, 2023
概括
智能手机应用程序ClimApp准确地预测了寒冷天气中的个人热应激,其表现优于通用温度气候指数 (UTCI). 这种个性化的热预警系统在极端温度下提供了更好的安全性和舒适性.
科学领域:
- 环境健康 环境健康
- 人体生理学 人体生理学
- 生物气象学生物气象学
背景情况:
- 热和冷压力对健康构成重大风险,需要准确的个人热暴露评估.
- 现有的热量指数往往缺乏个性化,这限制了它们对个人风险管理的有效性.
研究的目的:
- 通过直接测量验证ClimApp应用程序的个性化热量指数,并将其性能与通用温度气候指数 (UTCI) 进行比较.
- 评估ClimApp在预测寒冷户外条件下的个人热应激和应变方面的有效性.
主要方法:
- 55名参与者暴露于室外温度≤10°C,为ClimApp应用程序提供活动水平和服装绝缘数据.
- 计算了ClimApp和UTCI指数,并与参与者感知到的热感觉进行了比较.
- 根平均平方偏差 (RMSD) 用于评估对感知热感觉的预测准确性.
主要成果:
- ClimApp指数显示RMSD低于感知热感觉的标准偏差,表明一个有效的预测.
- UTCI指数的RMSD超过了感知热感觉的标准偏差,这表明预测是无效的.
- 无论是ClimApp还是UTCI,都显示出与感知到的热感的统计学上显著的相关性,但ClimApp更准确.
结论:
- ClimApp应用程序提供了一种有效和个性化的方法,用于评估寒冷环境中的热应力.
- ClimApp为个性化的热预警系统提供了优越的UTI替代方案,提高了用户的安全性和舒适性.
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