Noise Pollution Monitoring System
Keywords:
Environmental monitoring, IoT-based noise monitoring, Noise pollution monitoring, Real-time sound monitoring, Scalable noise tracker, Wireless noise alert systemAbstract
Noise pollution poses a significant challenge to our health, concentration, and overall life quality, particularly in bustling urban areas and industrial settings. Many current monitoring solutions are costly and difficult to operate. This project offers a straightforward and budget-friendly approach to real-time noise monitoring by utilizing an ESP8266 microcontroller, an LM393 sound sensor, and a 16x2 I2C LCD. The system is capable of identifying and classifying sound levels as Low, Moderate, or high displaying the findings on the screen. Although it operates effectively offline, the ESP8266 also provides optional Wi-Fi connectivity for cloud-based data storage and remote monitoring. The hardware configuration is lightweight and efficient, minimizing false alarms while delivering precise readings even amid noisy or fluctuating conditions. Whether it is used for assessing traffic noise, overseeing school zones, or evaluating industrial sound levels, this system is adaptable and easy to set up. Its unique combination of reliability, affordability, and dual functionality both online and offline makes it an excellent choice for practical applications.
References
WHO, “Burden of disease from environmental noise - Quantification of healthy life years lost in Europe,” www.who.int, 2011. Available: https://www.who.int/publications/i/item/burden-of-disease-from-environmental-noise-quantification-of-healthy-life-years-lost-in-europe
S. A. Stansfeld and M. P. Matheson, “Noise pollution: Non-auditory effects on health,” British Medical Bulletin, vol. 68, no. 1, pp. 243–257, Dec. 2003, doi: https://doi.org/10.1093/bmb/ldg033.
V. Kumar, A. V. Ahirwar, and A. D. Prasad, “A Review on Noise Pollution Monitoring, Mapping, Modelling, and Health Impacts,” Journal of environmental informatics letters, Jan. 2023, doi: https://doi.org/10.3808/jeil.202300113.
J. Roostaei, Y. Z. Wager, W. Shi, T. M. Dittrich, C. A. Miller, and K. Gopalakrishnan, “IoT-based edge computing (IoTEC) for improved environmental monitoring,” Sustainable Computing: Informatics and Systems, vol. 38, pp. 100870–100870, Apr. 2023, doi: https://doi.org/10.1016/j.suscom.2023.100870.
L. Goines and L. Hagler, “Noise Pollution: A Modern Plague,” Southern Medical Journal, vol. 100, no. 3, pp. 287–294, Mar. 2007, doi: https://doi.org/10.1097/smj.0b013e3180318be5
S. Stansfeld, M. Haines, and B. Brown, “Noise and Health in the Urban Environment,” Reviews on Environmental Health, vol. 15, no. 1–2, Jan. 2000, doi: https://doi.org/10.1515/reveh.2000.15.1-2.43.
K. S. Bhagwat, N. Chavan, S. Date, and Aher, “Real-Time Noise Monitoring With Iot: Enhancing Urban Acoustic Environment,” International Research Journal of Modernization in Engineering Technology and Science, vol. 6, no. 11, pp. 2594–2598, Nov. 2024, doi: https://doi.org/10.56726/IRJMETS63566.
N. S. Mitu, V. T. Vassilev and M. Tabany. "Low Cost, Easy-to-Use, IoT and Cloud-Based Real-Time Environment Monitoring System Using ESP8266 Microcontroller" International Journal of Internet of Things and Web Services, vol. 6, pp. 30-44, Feb. 2022, Available:https://www.researchgate.net/publication/358692570_Low_Cost_Easy-to-Use_IoT_and_Cloud-Based_Real-Time_Environment_Monitoring_System_Using_ESP8266_Microcontroller
J.J. Saldana-Barrios, E. Aguilar, W. Ng, and R. Orocu, “Designing an IoT-Based System for Monitoring Noise Levels in the Computer Science Faculty and Library of the Technological University of Panama,” Sensors, vol. 23, no. 22, pp. 9083–9083, Nov. 2023, doi: https://doi.org/10.3390/s23229083.
S. Soniya, A. R. Sindhu, G. S. Manasa, D. N. Mohan. "IoT Based Air and Noise Pollution Monitoring System in Urban and Rural Areas." International Journal of Research in Engineering, Science and Management, vol. 3, no. 1, pp. 444-446, 2020,Available: https://www.ijresm.com/Vol.3_2020/Vol3_Iss1_January20/IJRESM_V3_I1_111.pdf
G. Marques and R. Pitarma, "A Real-Time Noise Monitoring System Based on Internet of Things for Enhanced Acoustic Comfort and Occupational Health," in IEEE Access, vol. 8, pp. 139741-139755, 2020, doi: https://doi.org/10.1109/ACCESS.2020.3012919.
T. Fatema, Md. A. Hakim, T. K. Mim, M. J. Mitu, and B. Paul, “IoT cloud based noise intensity monitoring system,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 30, no. 1, pp. 289–289, Apr. 2023, doi: https://doi.org/10.11591/ijeecs.v30.i1.pp289-298
M. Anachkova, S. Domazetovska, Z. Petreski, and V. Gavriloski, “Design of low-cost wireless noise monitoring sensor unit based on IoT concept,” Journal of Vibroengineering, Jan. 2021, doi: https://doi.org/10.21595/jve.2021.21709.
H. Selim, M. D. Prieto, J. Trull, L. Romeral, and C. Cojocaru, “Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples,” Sensors, vol. 19, no. 3, pp. 573–573, Jan. 2019, doi: https://doi.org/10.3390/s19030573.
Ö. G. Toker, N. T. Elibol, Elif Kuru, Zeynep Görmezoğlu, A. Görener, and K. Toker, “Industrial noise: impacts on workers’ health and performance below permissible limits,” BMC Public Health, vol. 25, no. 1, May 2025, doi: https://doi.org/10.1186/s12889-025-22732-1.
A. Jadhav, “Smart Noise Monitoring System."International Research Journal of Modernization in Engineering Technology and Science, vol. 6, no. 10, pp. 1197-1202, Oct. 2024, Available: https://www.irjmets.com/uploadedfiles/paper//issue_10_october_2024/62076/final/fin_irjmets1728794674.pdf.
