Cloud-Connected IoT Framework for Instantaneous Air Quality and Acoustic Pollution Tracking with Intelligent Alerts
DOI:
https://doi.org/10.63503/acset.91Keywords:
IoT, Air Pollution, Sound Pollution, Arduino, MQ7, MQ2, Sound sensor, ThingSpeak, Environmental MonitoringAbstract
An economical solution, the IoT-based monitoring system, is proposed to curb rising air and noise pollution in cities. The sensors monitoring gases (MQ7 for CO, MQ2 for LPG and smoke) and a sound sensor have been employed to collect real-time data. The data was processed by an Arduino, displayed locally on an LCD, and then sent to ThingSpeak for analysis and remote access. This system has completely changed the manual monitoring systems that were slow and outdated into a fast and cloud-based system, which makes the environmental monitoring process more efficient, accessible, and responsive. Moreover, the system includes sensor calibration, real-time alerting via a buzzer, and secure data transmission. It enables people and authorities to respond in time, thereby enhancing environmental awareness and public health.
References
[1] Arnab Kumar Saha, Sachet Sircar, and Priyasha Chatterjee, “A Raspberry Pi Controlled Cloud-Based Air and Sound Pollution Monitoring System with Temperature and Humidity Sensing,” IEEE, 2018, doi: 10.1109/ICCMC.2018.8487704.
[2] Harsh Gupta, Dhananjay Bhardwaj, and Himanshu Agrawal, “An IoT-Based Air Pollution Monitoring System for Smart Cities,” IEEE, 2019, doi: 10.1109/ICIRCA.2019.8897970.
[3] Himadri Nath Saha, Supratim Auddy, and Avimita Chatterjee, “Pollution Control Using Internet of Things,” IEEE, 2017, doi: 10.1109/ICACCI.2017.8126113.
[4] K. Cornelius, N. Komal Kumar, and Sagar Pradhan, “An Efficient Tracking System for Air and Sound Pollution using IoT,” IEEE, 2020, doi: 10.1109/ICACCS48705.2020.9074210.
[5] K.S.E. Phala, A. Kumar, and Gerhard P. Hancke, “Air Quality Monitoring System Based on ISO/IEC/IEEE 21451 Standards,” IEEE Transactions on Industrial Electronics, 2015.
[6] Frances Moore, “Climate Change and Air Pollution: Exploring the Synergies and Potential for Mitigation in Industrializing Countries,” Sustainability, vol. 1, no. 1, pp. 43–54, 2009.
[7] R.D. Brook, F.B. Cascio, W. Hong, et al., “Air Pollution and Cardiovascular Disease: A Statement for Healthcare Professionals from the Expert Panel on Population and Prevention Science of the American Heart Association,” Circulation, vol. 109, no. 21, pp. 2655–2671, 2004.
[8] H. Ali, J.K. Soe, and S.R. Weller, “A Real-Time Ambient Air Quality Monitoring Wireless Sensor Network for Schools in Smart Cities,” in Proc. IEEE Int. Smart Cities Conf. (ISC2), Oct. 2015.
[9] K. Sarath and R. Guttikunda, “Health Impacts of Particulate Pollution in a Megacity—Delhi, India,” Environmental Development, vol. 6, pp. 8–20, Apr. 2013.
[10] J. Dutta et al., “AirSense: Opportunistic Crowd-Sensing Based Air Quality Monitoring System for Smart City,” in Proc. IEEE SENSORS, Oct.–Nov. 2016.
[11] Kwok Wai Tham et al., “A Wireless Sensor-Actuator Network for Enhancing IEQ,” in Proc. 15th Conf. Int. Society of Indoor Air Quality & Climate (ISIAQ), 2018.
[12] W. Wang, Y. Yuan, and Z. Ling, “The Research and Implement of Air Quality Monitoring System Based on ZigBee,” in Proc. 7th Int. Conf. Wireless Communications Networking and Mobile Computing (WiCom), Sept. 2011.
[13] Arun Kumar et al., “Implementation of Smart LED Lighting and Efficient Data Management System for Buildings,” Energy Procedia, vol. 143, pp. 173–178, Dec. 2017.
[14] Marcello A. Gómez Maureira and D.O. Livia Teernstra, “ThingSpeak — an API and Web Service for the Internet of Things,” 2018.
[15] Ming Zhao et al., “Machine-to-Machine Communication and Research Challenges: A Survey,” Wireless Personal Communications, vol. 97, no. 3, pp. 3569–3585, 2017.
[16] Sulayman K. Sowe, Takashi Kimata, Mianxiong Dong, and Koji Zettsu, “Managing Heterogeneous Sensor Data on a Big Data Platform: IoT Services for Data-Intensive Science,” 2014.
[17] Chen Xiaojun, Liu Xianpeng, and Xu Peng, “IoT-Based Air Pollution Monitoring and Forecasting System,” 2015.
[18] Chang-Se Oh, Min-Seok Seo, Jung-Hyuck Lee, Sang-Hyun Kim, YoungDon Kim, and Hyun-Ju Park, “Indoor Air Quality Monitoring Systems in the IoT Environment,” 2015
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