论文标题
使用IoT数据驱动分析了解Covid-19-19大流行对希腊学校建筑物使用的影响
Understanding the Effect of the COVID-19 Pandemic on the Usage of School Buildings in Greece Using an IoT Data-Driven Analysis
论文作者
论文摘要
1920年和2021年，美国大流行期在全球人口的大部分人口的日常生活中发生了深刻的变化。这种变化反映在整体能源消耗的变化或公共建筑物内部持续不活动的持续不活动之类的方面。同时，由于过去几年的物联网，传感器和智能手机的大量扩散，我们能够随着时间的流逝而在一定程度上监视此类更改。在本文中，我们专注于大流行对学校建筑物和学校运作某些方面的影响。我们的研究基于来自配备物联网基础设施的许多学校建筑的数据。这些建筑物位于希腊，这是一个在2020年和2021年都面临扩展锁定的国家。我们的结果表明，关于功耗，由于锁定过程中有大量的功耗，因此可以提高能源效率的空间，并且使用其他传感器数据，我们还可以推断出有关锁定过程中建筑物和活动的有趣点。
The COVID-19 pandemic has brought profound change in the daily lives of a large part of the global population during 2020 and 2021. Such changes were mirrored in aspects such as changes to the overall energy consumption, or long periods of sustained inactivity inside public buildings. At the same time, due to the large proliferation of IoT, sensors and smartphones in the past few years, we are able to monitor such changes to a certain degree over time. In this paper, we focus on the effect of the pandemic on school buildings and certain aspects in the operation of schools. Our study is based on data from a number of school buildings equipped with an IoT infrastructure. The buildings were situated in Greece, a country that faced an extended lockdown during both 2020 and 2021. Our results show that as regards power consumption there is room for energy efficiency improvements since there was significant power consumption during lockdown, and that using other sensor data we can also infer interesting points regarding the buildings and activity during the lockdown.
