Programs
- M. Tech. in Automotive Engineering -Postgraduate
- B. Sc. (Hons.) Biotechnology and Integrated Systems Biology -Undergraduate
Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Lecture Notes in Electrical Engineering
Url : https://doi.org/10.1007/978-981-15-8685-9_11
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2021
Abstract : Air pollution is one of the major concerns in the world; especially, some of the toxic gases when in excess may have dire impacts on human health and are like CO2, NH3, particulate matter, etc. The temperature, humidity, and wind speed are also the weather parameters having their effects and cause for other gases in the environment. This paper concerns with the development of hardware which provides the concentration level of significant gases, i.e., CO2, NH3, O2, PM2.5 using MQ-Series gas sensors and the environment parameters, i.e., temperature, humidity, dew point, wind speed in real-time using the Raspberry Pi based on Internet of Things (IoT) platform. The data has been stored in the firebase database for real-time monitoring. The cloud computing-based monitoring system with inbuilt Wi-Fi connectivity ensures the analysis of different air pollutants and weather parameters on a periodical basis to provide the general air quality index (AQI) on a real-time basis. In the case of undesired conditions, the notification alert message will be sent to the user.
Cite this Research Publication : Harshit Srivastava, Kailash Bansal, Santos Kumar Das, Santanu Sarkar, An Efficient IoT Technology Cloud-Based Pollution Monitoring System, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2021, https://doi.org/10.1007/978-981-15-8685-9_11