Application of MQ-Sensors to Indoor Air Quality Monitoring in Lab based on IoT

Hussein J. Khadim, Faik K. Obaed, Ziad T. Abd Ali
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引用次数: 4

Abstract

Air pollution levels have been rising around the world in recent years. Long-term pollution exposure causes a variety of ailments, including lung disease, heart disease, and eye irritation. The term “indoor air quality” refers to the building’s residents' air quality. Physical variables, chemical or gaseous pollutants, and biological factors. Toxic gases are likely to be present in any laboratory where experiments or research are carried out. These contaminants can harm the health of the people that are working there, and the important work that is being done in this environment remains unaffected. A web-based system for indoor air quality monitoring in lab IAQML is presented in this study. The project was established to keep track of air quality metrics in the lab environment like carbon dioxide, carbon monoxide, alcohol, phenol, toluene, LPG, benzene, ammonia, and methane, if not properly maintained, this can have an impact on the inhabitants' comfort, health, and indoor working conditions. In general, the proposed method involves a selection of metal oxide MQ-sensors, and a Wi-Fi module connected to an Arduino microcontroller. The measured data from sensors is calculated in ppm units and then displayed on the Android device. Also, gas data is sent to the webpage through the ThingSpeak platform dashboard. The system has a notification function to alert students and workers in the laboratory when measurements of air quality are above or below specified thresholds. On the other hand, this allows for a well-controlled and maintained the quality standard for indoor air pollutants.
基于物联网的mq传感器在实验室室内空气质量监测中的应用
近年来,世界各地的空气污染水平一直在上升。长期暴露在污染中会导致各种疾病,包括肺病、心脏病和眼睛发炎。“室内空气质量”是指建筑物内居民的空气质量。物理变量,化学或气体污染物,以及生物因素。在进行实验或研究的任何实验室中都可能存在有毒气体。这些污染物会损害在那里工作的人的健康,而在这种环境中进行的重要工作不受影响。提出了一种基于网络的实验室室内空气质量监测系统。该项目的建立是为了跟踪实验室环境中的空气质量指标,如二氧化碳、一氧化碳、酒精、苯酚、甲苯、液化石油气、苯、氨和甲烷,如果维护不当,这可能会对居民的舒适、健康和室内工作条件产生影响。一般来说,所提出的方法包括选择金属氧化物mq传感器,以及连接到Arduino微控制器的Wi-Fi模块。传感器的测量数据以ppm为单位计算,然后显示在Android设备上。此外,气体数据通过ThingSpeak平台仪表板发送到网页。该系统具有通知功能,当空气质量测量值高于或低于指定阈值时,会向实验室的学生和工作人员发出警报。另一方面,这可以很好地控制和维持室内空气污染物的质量标准。
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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