Smart City Gnosys
Smart city article details
| Title | Design Of Low Cost, Energy Efficient, Iot Enabled, Air Quality Monitoring System With Cloud Based Data Logging, Analytics And Ai |
|---|---|
| ID_Doc | 18885 |
| Authors | Hussain M.; Ghazanfar F.; Aleem S.; Hai M.; Karim A.; Hussain K. |
| Year | 2020 |
| Published | 2020 International Conference on Emerging Trends in Smart Technologies, ICETST 2020 |
| DOI | http://dx.doi.org/10.1109/ICETST49965.2020.9080705 |
| Abstract | This paper presents a design of real-time Air Quality Monitoring System (AQMS) which incorporates Internet of Things (IoT) and cloud computing. AQMS utilizes solar panel and battery pack for independent and autonomous operation, thus, making it self-powered and sustainable. AQMS is based on AVR Microcontroller (Atmega32) and GSM modem (Sim900) for connectivity with the cloud application. The design is made low cost and scalable so that around 50nos. of such systems can be installed on roundabouts of market places, residential and industrial areas. The AQMS monitors the air quality with the help of a miniature suction pump (5volt DC) which establishes a controlled and constant stream of air-flow through a manifold that encapsulates electromechanical sensors, thus measuring the concentration of O2, CO, CO2, SO/SO2 (SOx), NO/NO2 (NOx), Hydrocarbon (CxHx), temperature, humidity and noise. By default, the air sampling is carried out once in an hour which may be changed depending on the change in air quality, i.e. making it adoptive for energy conservation and extending the sensor's life. The data collected at the cloud application will be processed using data analytics and Artificial Intelligence (AI) for getting insights of data (data mining) regarding the potential locations where the emissions are critical and disastrous for environmental, thus, leading to prevent any mishap. The design is mapped over a metropolitan city of Pakistan, i.e. Karachi, thus initiating the transformation of Karachi to a smart city. © 2020 IEEE. |
| Author Keywords | Air Quality Monitoring System; Artificial Intelligence; Cloud Computing; Data Analytics; Internet of Things |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
4744  | 0.9 | Padmanabha Reddy Y.C.A.; Parameswaran T.; Sathiyaraj R. | A Smart Environment Monitoring Framework Using Big Data And Iot | 2021 IEEE Mysore Sub Section International Conference, MysuruCon 2021 (2021) |
| 44296 | 0.897 | Aserkar A.A.; Godla S.R.; Baker El-Ebiary Y.A.; Krishnamoorthy; Ramesh J.V.N. | Real-Time Air Quality Monitoring In Smart Cities Using Iot-Enabled Advanced Optical Sensors | International Journal of Advanced Computer Science and Applications, 15, 4 (2024) |
| 33757 | 0.894 | Rajendrakumar P.M.; Shwetha P.; Reddy P.; Tejasri T.; Piruthiviraj P. | Iot Cloud-Based Air Quality Monitoring System With Arduino | Proceedings of 3rd IEEE International Conference on Knowledge Engineering and Communication Systems, ICKECS 2025 (2025) |
| 7194 | 0.892 | Choudhary V.; Teh J.H.; Beltran V.; Lim H.B. | Airq: A Smart Iot Platform For Air Quality Monitoring | 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 (2020) |
| 34734 | 0.891 | Jiang X. | Large Scale Air-Quality Monitoring In Smart And Sustainable Cities | Smart Cities: Foundations, Principles, and Applications (2017) |
| 35713 | 0.889 | Petricǎ S.-M.; Fǎgǎrǎşan I.; Stamatescu I.; Arghira N.; Pietraru R.-N. | Low-Cost Air Pollution Monitoring Systems | 2024 28th International Conference on System Theory, Control and Computing, ICSTCC 2024 - Proceedings (2024) |
| 55255 | 0.884 | Herath H.M.R.G.; Jayasundara K.K.W.S.P.K.; Yadhasighe Y.K.A.; Sanjeewa S.D.A. | The Design And Implementation Of An Iot-Based Real-Time Air Purification System For Outdoor Environment | ICARC 2022 - 2nd International Conference on Advanced Research in Computing: Towards a Digitally Empowered Society (2022) |
| 50086 | 0.883 | Esfahani S.; Rollins P.; Specht J.P.; Cole M.; Gardner J.W. | Smart City Battery Operated Iot Based Indoor Air Quality Monitoring System | Proceedings of IEEE Sensors, 2020-October (2020) |
| 18692 | 0.882 | Bainomugisha E.; Ssematimba J.; Okure D. | Design Considerations For A Distributed Low-Cost Air Quality Sensing System For Urban Environments In Low-Resource Settings | Atmosphere, 14, 2 (2023) |
| 33700 | 0.882 | Nandanwar H.; Chauhan A. | Iot Based Smart Environment Monitoring Systems: A Key To Smart And Clean Urban Living Spaces | 2021 Asian Conference on Innovation in Technology, ASIANCON 2021 (2021) |