Internet of Things (IoT) Arduino-Based Classroom Monitoring Utilizes Temperature Sensors And CO2 Sensors

T. Suratno, Edi Saputra, Z. Abidin, Daniel Arsa, Norman Syarief
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Abstract

Comfort room temperature is determined by indoor air quality, such as temperature and CO2 gas. This study aims to determine the comfort of a class by reviewing the number of students, CO2 gas, and temperature in an Arduino-based classroom using an automatic IoT system with a Completely Randomized Design (CRD) method. Research proves that there is a significant effect between the number of students on the concentration of CO2, but it does not directly affect the air temperature in the room. The lecture hall is still relatively safe but not ideal and requires a temperature reduction of -7oC.
基于arduino的物联网教室监控利用温度传感器和二氧化碳传感器
舒适室温度由室内空气质量决定,如温度和二氧化碳气体。本研究旨在通过使用具有完全随机设计(CRD)方法的自动物联网系统,审查基于Arduino的教室中的学生人数、二氧化碳气体和温度,来确定课堂的舒适度。研究证明,学生人数对二氧化碳浓度有显著影响,但不会直接影响室内空气温度。演讲厅仍然相对安全,但并不理想,需要降低-7摄氏度的温度。
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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