Cloud-Based IoT Air Quality Monitoring System

被引:8
|
作者
Kadir, Ahmad Dziaul Islam Abdul [1 ]
Alias, Mohamad Razin Naim Mohd [1 ]
Dzaki, Dzahir Rashidi Mohd [1 ]
Din, Norashidah Md [2 ]
Deros, Siti Noratiqah Mohd [2 ]
Haron, Mohamad Halil [3 ]
机构
[1] Univ Tenaga Nasl UNITEN, Coll Grad Studies, Kajang, Malaysia
[2] Univ Tenaga Nasl UNITEN, Inst Energy Infrastruct, Kajang, Malaysia
[3] Tenaga Nasl Berhad, Real Estate Ventures Dept, Kuala Lumpur, Malaysia
来源
2021 26TH IEEE ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS {APCC) | 2021年
关键词
IAQ; ESP32; InfluxDB; BME680; CCS811;
D O I
10.1109/APCC49754.2021.9609897
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Poor airflow in buildings can cause deterioration in the health of the occupants. The health concerns may be minor occurrences such as irritation of the eyes, nose and skin, headaches and fatigue to long term effects that include respiratory disease and heart inflammation. Indoor air quality monitoring system has been touted as one of the potential applications for the Internet of Things (IoT). This paper described the design and development of an IoT-based remote monitoring device and testbed that measures indoor air quality (IAQ), specifically eCO(2) level, Total Volatile Organic Compound (TVOC), temperature and humidity. Air quality sensors (BME680 and CCS811), were used with an ESP32 microcontroller, which acts as the brain and sends data to the InfluxDB cloud database. The data from the IoT device are visualized and monitored through the Freeboard.io dashboard hosted on the Amazon Web Services (AWS) server. A testbed was developed at Planet IoT, The Energy Sphere, UNITEN for IAQ monitoring. A performance study was conducted to test the functionalities of the IoT devices, communications, database effectiveness, and energy requirements in terms of battery life. An insight of the IAQ in the building was obtained with the IoT device able to function both in detecting harmful gases (eCO(2) and TVOC), temperature and humidity level condition 24x7 with 76 hours of battery life for a 10 min reading interval or 273 hours of battery life for a 1-hour reading interval.
引用
收藏
页码:121 / 127
页数:7
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