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
相关论文
共 50 条
  • [21] Monitoring a Cloud-based Speech Processing System
    Suciu, George
    Vulpe, Alexandru
    Arseni, Stefan Ciprian
    Stancu, Alexandru
    Butca, Cristina
    Suciu, Victor
    PROCEEDINGS OF THE 2015 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2015,
  • [22] Development of a cloud-based IoT system for livestock health monitoring using AWS and python']python
    Bhaskaran, Harini Shree
    Gordon, Miriam
    Neethirajan, Suresh
    SMART AGRICULTURAL TECHNOLOGY, 2024, 9
  • [23] IoT-enabled cloud-based real-time remote ECG monitoring system
    Sahu M.L.
    Atulkar M.
    Ahirwal M.K.
    Ahamad A.
    Journal of Medical Engineering and Technology, 2021, 45 (06): : 473 - 485
  • [24] Monitoring the Venice Lagoon: An IoT Cloud-Based Sensor Network Approach
    Campagnaro, Filippo
    Ghalkhani, Matin
    Tumiati, Riccardo
    Marin, Federico
    Dal Grande, Matteo
    Pozzebon, Alessandro
    De Battisti, Davide
    Francescon, Roberto
    Zorzi, Michele
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2024,
  • [25] Cloud-Based Approach for Water Quality Monitoring: A Review
    Zahari, Nazirul Mubin
    Saeed, Adel Saleh Salem
    Zawawi, Mohd Hafiz
    Roslin, Nursyadzatul Tasnim
    Abd Aziz, Nurhanani
    Nurhikmah, Farah
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON GREEN ENVIRONMENTAL ENGINEERING AND TECHNOLOGY (ICONGEET 2021), 2022, 214 : 369 - 377
  • [26] Air Quality Monitoring System: Towards IoT based system for Air Pollutant Concentration Prediction
    AbdulWahhab, Rasha Shakir
    2020 10TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT), 2020, : 311 - 316
  • [27] Dynamic System Diversification for Securing Cloud-based IoT Subnetworks
    Almohri, Hussain
    Watson, Layne
    Evans, David
    Billups, Stephen
    ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2022, 17 (1-2)
  • [28] Air Quality Monitoring System Based on IoT using Raspberry Pi
    Kumar, Somansh
    Jasuja, Ashish
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2017, : 1341 - 1346
  • [29] IOT based air quality and particulate matter concentration monitoring system
    Kalia, Puneet
    Ansari, Mamtaz Alam
    MATERIALS TODAY-PROCEEDINGS, 2020, 32 : 468 - 475
  • [30] An empirical IoT and cloud-based customizable healthcare surveillance system
    Meti S.
    Razauddin S.
    Nallakumar R.
    Mansingh P.M.B.
    Sameen A.Z.
    Pandey S.
    Bhatt S.K.
    Jayabalan B.
    International Journal of Information Technology, 2024, 16 (8) : 5317 - 5323