This paper focus on the development of a new device suitable to detect and measure methane gas in areas of natural gas storage site. This device, the Smart Gas Detection system, can measure the air and water quality, including all the parameters that can have outliers by an eventual gas leak in the aquifer or atmosphere. The air quality parameters measured by low cost sensors, include CH4 and CO2 gas, while for water quality parameters measured include temperature, pH and electrical conductivity. The sensor node is based on Arduino UNO microcontroller, receiving the data from the sensors and transmitting to the database on Raspberry pi 3, remotely accessing all the data. It is extremely important to develop devices with the new commercial low-cost sensors to detect and measure gases in atmosphere to monitoring the carbon dioxide and methane due to their role as greenhouse gases and also gas leaks from wellbores can severely affect the health of people and animal.

Design of a smart gas detection system in areas of natural gas storage

ILIE, Ana Maria Carmen
;
VACCARO, Carmela
2017

Abstract

This paper focus on the development of a new device suitable to detect and measure methane gas in areas of natural gas storage site. This device, the Smart Gas Detection system, can measure the air and water quality, including all the parameters that can have outliers by an eventual gas leak in the aquifer or atmosphere. The air quality parameters measured by low cost sensors, include CH4 and CO2 gas, while for water quality parameters measured include temperature, pH and electrical conductivity. The sensor node is based on Arduino UNO microcontroller, receiving the data from the sensors and transmitting to the database on Raspberry pi 3, remotely accessing all the data. It is extremely important to develop devices with the new commercial low-cost sensors to detect and measure gases in atmosphere to monitoring the carbon dioxide and methane due to their role as greenhouse gases and also gas leaks from wellbores can severely affect the health of people and animal.
2017
9781509049516
Carbon dioxide gas sensor; EC sensor; Methane gas sensor; Microcontroller Arduino; pH sensor; Raspberry pi 3; Real time monitoring;
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2376888
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