Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3536
Title: An Efficient IoT Technology Cloud-Based Pollution Monitoring System
Authors: Srivastava, Harshit
Bansal, Kailash
Das, Santos Kumar
Sarkar, Santanu
Keywords: Raspberry Pi
Firebase database
IoT
MQ-Series gas sensors
AQI
Cloud Computing
Issue Date: Mar-2020
Citation: International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (ETAEERE-2020), KIIT, Bhubaneswar, India, 5-6 March 2020
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, and Particulate Matter etc. The temperature, humidity, and wind speed are also the weather parameters having their effects and causes 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.
Description: Copyright of this paper is with proceedings publisher
URI: http://hdl.handle.net/2080/3536
Appears in Collections:Conference Papers

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