Monitoring and Control of COVID Vaccine Storage Temperature Using IoT and Machine Learning

Royam Jain, S. Gawre
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引用次数: 3

Abstract

Corona virus (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Till now, vaccination is the most effective way of fighting this pandemic of COVID-19. This paper proposes a system which will monitor and control the temperature of the vaccine storage rooms. Here an Internet of things and Machine Learning system has been developed which will measure the real time temperature of the room and will control the temperature automatically. It will try to keep the temperature in the given region, it will predict the temperature of next twenty minutes with the help of Machine learning algorithm-linear regression, it will watch for an anomaly using Z-score analysis, it will also watch if the temperature crosses upper or lower threshold. If any of the above abnormality is detected, we will get notified online through a message, the system will maintain the temperature and the workers will also get alarmed by a led and a buzzer which will work different for each significant case.
利用物联网和机器学习监测和控制COVID - 19疫苗储存温度
冠状病毒(COVID-19)是由SARS-CoV-2病毒引起的传染病。到目前为止,疫苗接种是对抗COVID-19大流行的最有效方法。本文提出了一种疫苗库房温度监测与控制系统。这里已经开发了一个物联网和机器学习系统,它将测量房间的实时温度并自动控制温度。它将尝试保持给定区域的温度,它将在机器学习算法-线性回归的帮助下预测未来20分钟的温度,它将使用z分数分析来观察异常,它还将观察温度是否越过上限或下限。如果检测到上述任何异常,我们将通过消息在线通知,系统将保持温度,并且工作人员也将通过led和蜂鸣器进行报警,每个重大情况下的工作方式不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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