Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality

被引：1

作者：

Irawan Y. ^{[1
]}

Wahyuni R. ^{[1
]}

Muhardi M. ^{[1
]}

Fonda H. ^{[1
]}

Hamzah M.L. ^{[2
]}

Muzawi R. ^{[3
]}

机构：

[1] STMIK Hang Tuah Pekanbaru, Pekanbaru

[2] Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru

[3] STMIK Amik Riau, Pekanbaru

来源：

International Journal of Interactive Mobile Technologies | 2021年 / 15卷 / 10期

关键词：

Air Quality; Internet of Things; IoT; Measuring; Web;

D O I：

10.3991/ijim.v15i10.20707

中图分类号：

学科分类号：

摘要：

The presence of large peatland in Riau, Indonesia, could cause air pollution due to peatland fires which causes the presence of thick smoke every year in Riau, disrupting human activities. In order to monitor the air quality, in this paper, the main advantage of the Internet of Things (IoT) is the ability to transfer data over the network without requiring human-to-human or human interaction to the computer used. In this paper, we propose an air quality monitor that can display web-based information to show the temperature and air humidity, and detects CO, CO2 gases, and alcohol in real time with the help of DHT11 and MQ135 sensors, Arduino Uno and Raspberry Pie. The results show our proposed system can successfully show each parameter of the air quality on the website and make suggestions about the overall air quality level. With our proposed system, we hope the government can respond faster to mitigate the bad air quality level and give information to public about the air quality level in a faster and more accurate way. © **

引用

页码：224 / 240

页数：16

共 20 条

[1] Ikhtiar M., Environmental Quality Analysis, (2017)
[2] Kumar S., Jasuja A., Air quality monitoring system based on IoT using raspberry Pi, 2017 International Conference on Computing, Communication and Automation (ICCCA) ’05, pp. 1341-1346, (2017)
[3] Balasubramaniyan C., Manivannan D., Iot enabled air quality monitoring system (AQMS) using raspberry Pi, Indian Journal of Science and Technology, 9, 39, pp. 1-6, (2016)
[4] Pancing V. E., Rama and Prawira, Memahami Ekosistem Hutan Rawa Gambut Kabupaten Siak Provinsi Riau [Understanding the Peat Swamp Forest Ecosystem of Siak Regency, Riau Province], (2017)
[5] Lohani D., Acharya D., Smartvent: A context aware iot system to measure indoor air quality and ventilation rate, 2016 17th IEEE International Conference on Mobile Data Management (MDM) ’06, pp. 64-69, (2016)
[6] Johnston S. J., Basford P. J., Bulot F. M., Apetroaie-Cristea M., Easton N. H., Davenport C., Foster G. L., Loxham M., Morris A. K. R., Cox S. J., City scale particulate matter monitoring using LoRaWAN based air quality IoT devices, Sensors, 19, 1, (2019)
[7] Dhingra S., Madda R. B., Gandomi A. H., Patan R., Daneshmand M., Internet of things mobile–air pollution monitoring system (IoT-Mobair), IEEE Internet of Things Journal, 6, 3, pp. 5577-5584, (2019)
[8] Tastan M., Gokozan H., Real-time monitoring of indoor air quality with internet of things-based E-nose, Applied Sciences, 9, 16, (2019)
[9] Kim S. H., Jeong J. M., Hwang M. T., Kang C. S., Development of an IoTbased atmospheric environment monitoring system, 2017 International Conference on Information and Communication Technology Convergence (ICTC) ’10, pp. 861-863, (2017)
[10] Tapashetti A., Vegiraju D., Ogunfunmi T., IoT-enabled air quality monitoring device: A low cost smart health solution, 2016 IEEE Global Humanitarian Technology Conference (GHTC) ’10, pp. 682-685, (2016)

← 1 2 →