TY - GEN
T1 - An IoT based environment monitoring system
AU - Hassan, Mosfiqun Nahid
AU - Islam, Mohammed Rezwanul
AU - Faisal, Fahad
AU - Semantha, Farida Habib
AU - Siddique, Abdul Hasib
AU - Hasan, Mehedi
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - In recent years, people are getting more conscious of the environment they are living in. This consciousness is driving the need to develop a reliable environmental monitoring system. An environmental air quality monitoring system also has industrial application. In mining or in heavy industry, there is a possibility of air contamination by different harmful gases. In such hazardous situations, an environmental monitoring system can potentially save the life of the workers. In such large-scale sensor deployment, there are data collection, data management, connection, and power consumption issues. IoT technology is specifically suited for this sort of need. This paper presents an IoT based framework that effectively monitors the change in an environment using sensors, microcontroller, and IoT based technology. Users can monitor temperature, humidity, detect the presence of harmful gases both in the indoor and outdoor environment using the proposed module. The data is stored in the web server and the user can access the data anywhere in the world through an internet connection. In the proposed work a web application is developed to provide vital information to the user. The user can also set up a notification for critical changes in the sensor data. In comparison to other closely related systems, the proposed system is a low-cost one, accurate and user friendly. It is also cloud-based and has easy monitoring and data visualization modules. The system has been evaluated in different stages. After testing all the functions in different conditions, it shows a high degree of accuracy and reliability.
AB - In recent years, people are getting more conscious of the environment they are living in. This consciousness is driving the need to develop a reliable environmental monitoring system. An environmental air quality monitoring system also has industrial application. In mining or in heavy industry, there is a possibility of air contamination by different harmful gases. In such hazardous situations, an environmental monitoring system can potentially save the life of the workers. In such large-scale sensor deployment, there are data collection, data management, connection, and power consumption issues. IoT technology is specifically suited for this sort of need. This paper presents an IoT based framework that effectively monitors the change in an environment using sensors, microcontroller, and IoT based technology. Users can monitor temperature, humidity, detect the presence of harmful gases both in the indoor and outdoor environment using the proposed module. The data is stored in the web server and the user can access the data anywhere in the world through an internet connection. In the proposed work a web application is developed to provide vital information to the user. The user can also set up a notification for critical changes in the sensor data. In comparison to other closely related systems, the proposed system is a low-cost one, accurate and user friendly. It is also cloud-based and has easy monitoring and data visualization modules. The system has been evaluated in different stages. After testing all the functions in different conditions, it shows a high degree of accuracy and reliability.
KW - Big data
KW - Environment
KW - IoT
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85100768140&partnerID=8YFLogxK
U2 - 10.1109/ICISS49785.2020.9316050
DO - 10.1109/ICISS49785.2020.9316050
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85100768140
T3 - Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020
SP - 1119
EP - 1124
BT - Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020
PB - IEEE, Institute of Electrical and Electronics Engineers
T2 - 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020
Y2 - 3 December 2020 through 5 December 2020
ER -