IoT Enabled Low Cost Air Quality Sensor

Air pollution poses significant risks to environment and health. Air quality monitoring stations are often confined to a small number of locations due to the high cost of the monitoring equipment. They provide a low fidelity picture of the air quality in the city; local variations are overlooked. However, recent developments in low cost sensor technology and wireless communication systems like Internet of Things (IoT) provide an opportunity to use arrayed sensor networks to measure air quality, in real time, at a large number of locations. This paper reports the development of a novel low cost sensor node that utilizes cost-effective electrochemical sensors to measure Carbon Monoxide (CO) and Nitrogen Dioxide (NO2) concentrations and an infrared sensor to measure Particulate Matter (PM) levels. The node can be powered by either solar-recharged battery or mains supply. It is capable of long-range, low power communication over public or private LoRaWAN IoT network and short-range high data rate communication over Wi-Fi. The developed sensor nodes were co-located with an accurate reference CO sensor for field calibration. The low cost sensors’ data shows strong correlation with the data collected from the reference sensor. Offset and gain calibration further improves the quality of the sensor data.

[1]  Sarun Duangsuwan,et al.  A Development on Air Pollution Detection Sensors based on NB-IoT Network for Smart Cities , 2018, 2018 18th International Symposium on Communications and Information Technologies (ISCIT).

[2]  Sarun Duangsuwan,et al.  A Study of Air Pollution Smart Sensors LPWAN via NB-IoT for Thailand Smart Cities 4.0 , 2018, 2018 10th International Conference on Knowledge and Smart Technology (KST).

[3]  Matthew L. Thomas,et al.  Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 , 2017, The Lancet.

[4]  L. Spinelle,et al.  Sensors and Actuators B: Chemical Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide (cid:2) , 2022 .

[5]  Konstantinos Tzortzakis,et al.  Wireless self powered environmental monitoring system for smart cities based on LoRa , 2017, 2017 Panhellenic Conference on Electronics and Telecommunications (PACET).

[6]  M.F.M Firdhous,et al.  IoT enabled proactive indoor air quality monitoring system for sustainable health management , 2017, 2017 2nd International Conference on Computing and Communications Technologies (ICCCT).

[7]  Daqiang Zhang,et al.  A Survey on Gas Sensing Technology , 2012, Sensors.

[8]  Gerboles Michel,et al.  Evaluation of Metal Oxides Sensors for the Monitoring of O3 in Ambient Air at Ppb Level , 2016 .

[9]  Majid Sarrafzadeh,et al.  Design and calibration of a wearable and wireless research grade air quality monitoring system for real-time data collection , 2017, 2017 IEEE Global Humanitarian Technology Conference (GHTC).

[10]  Gomez Ruiz Carlos Andres.  CleanWiFi: The wireless network for air quality monitoring, community Internet access and environmental education in smart cities , 2016, Kaleidoscope.

[11]  L. Benini,et al.  Context-Adaptive Multimodal Wireless Sensor Network for Energy-Efficient Gas Monitoring , 2013, IEEE Sensors Journal.

[12]  Vijay Sivaraman,et al.  Design and Evaluation of a Metropolitan Air Pollution Sensing System , 2016, IEEE Sensors Journal.

[13]  M. Shamim Hossain,et al.  Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators , 2018, IEEE Communications Magazine.

[14]  Zhu Han,et al.  Real-Time Profiling of Fine-Grained Air Quality Index Distribution Using UAV Sensing , 2017, IEEE Internet of Things Journal.

[15]  Maurizio Rossi,et al.  Energy neutral design of an IoT system for pollution monitoring , 2017, 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS).

[16]  Sujuan Liu,et al.  A low-power real-time air quality monitoring system using LPWAN based on LoRa , 2016, 2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).

[17]  L. Shang,et al.  The next generation of low-cost personal air quality sensors for quantitative exposure monitoring , 2014 .

[18]  Yang Wang,et al.  Laboratory Evaluation and Calibration of Three Low-Cost Particle Sensors for Particulate Matter Measurement , 2015 .

[19]  Lirong Zheng,et al.  Edge Computing Based IoT Architecture for Low Cost Air Pollution Monitoring Systems: A Comprehensive System Analysis, Design Considerations & Development , 2018, Sensors.

[20]  Gustavo Olivares,et al.  The Outdoor Dust Information Node (ODIN) – development and performance assessment of a low cost ambient dust sensor , 2015 .

[21]  Adnan Abu-Dayya,et al.  Wireless sensor network for real-time air pollution monitoring , 2013, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA).

[22]  Alena Bartonova,et al.  Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? , 2017, Environment international.

[23]  Moch. Fachru Rizal,et al.  Air pollution monitoring system using LoRa modul as transceiver system , 2019, TELKOMNIKA (Telecommunication Computing Electronics and Control).

[24]  Leïla Azouz Saïdane,et al.  Surveying and Analyzing Urban Environment Approaches of Air Quality Monitoring , 2018, MSPN.

[25]  Lothar Thiele,et al.  A Survey on Sensor Calibration in Air Pollution Monitoring Deployments , 2018, IEEE Internet of Things Journal.

[26]  L. Spinelle,et al.  Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2 , 2017 .

[27]  Carlo Ratti,et al.  End-user perspective of low-cost sensors for outdoor air pollution monitoring. , 2017, The Science of the total environment.

[28]  Gb Stewart,et al.  The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks , 2013 .

[29]  Nasser Hamad,et al.  Monitoring pollution: Applying IoT to create a smart environment , 2017, 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).