全球变暖
计算机科学
算法
人工智能
气象学
航空学
地理
工程类
气候变化
生物
生态学
作者
Hiroyoshi Togo,Akimasa Hirata
出处
期刊:IEEE Pulse
[IEEE Engineering in Medicine and Biology Society]
日期:2021-07-01
卷期号:12 (4): 24-27
被引量:3
标识
DOI:10.1109/mpuls.2021.3094253
摘要
The last century has seen a gradual increase in global average temperatures—a phenomenon that has come to be known as global warming. The World Meteorological Organization (WMO) has reported that 2020 was one of the three warmest years on record and that the global average temperature was ~1.2°C above preindustrial (1850–1900) levels [1] . Adverse effects on health resulting from global warming are important issues to consider, as health risks associated with such extreme heat are anticipated [2] . In fact, this warming has been shown to severely limit human activity in tropical and mid-latitude regions [3] , and in particular, outdoor and manual workers who are exposed to ambient heat during working hours are susceptible to increased health risks. Thus, workers should pay attention to their own physical conditions and proactively keep out of the heat to rest when uncomfortable. Additionally, supervisors must manage worker’s physical conditions and schedule regular breaks. Therefore, in this trial a new integrated system was developed to notify individuals at risk based on their thermal physiology. This method uses biological and environmental information obtained directly via wearable sensors and the estimated body core temperature collected on-ground cannot be measured wirelessly and noninvasively [4] .
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