Indoor and Outdoor Air Quality Detection using Programmable Microprocessor and Sensor Technologies

Sabir Rustemli, Cigdem P. Dautov and Leyla Gazigil
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Sabir Rustemli: Bitlis Eren University, Bitlis, Turkey
Cigdem P. Dautov: Bitlis Eren University, Bitlis, Turkey
Leyla Gazigil: Bitlis Eren University, Bitlis, Turkey

European Journal of Engineering and Technology Research, 2018, vol. 3, issue 12, 8-13

Abstract: Most living forms of life need clean water, air and nutrient resources to maintain a healthy life. The increased population and industrial and technological development have caused more energy needs. This affects air quality (AQ) and hence human health negatively. Because AQ is critical for human health, various measurement and analysis methods are developed and the amount and variety of airborne pollutants are examined by today's methods such as passive and active samplers, automatic analyzers and remote sensors. In this study, AQ measurement is aimed to create an alternative to ready remote sensing systems by designing low cost and programmable microprocessor system which allows in place and instant data collection. Arduino, an electronic prototype platform, is used to collect, transfer and process sensor data. An interface was coded using the Visual Studio to make the data instantaneously analyzed by any program on the computer. The BEUHavaKalite device is a handheld AQ measurement device providing a wide range of measurements, gas diversity, calibrated according to the internal and external environment, high sensitivity and low cost. The other unit of this system is HavaKaliteSoft, the user interface for transferring and processing the sensor measurement results to the computer. This system tests have been carried out in Tatvan and Merkez districts of Bitlis province and the measurements confirm the accuracy of the device. The device is especially important because it allows scientists working in this field to collect data related to the field of AQ and carry out detailed studies.

Keywords: Air quality; Microprocessor; Pollutants; Sensor technology (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:3:y:2018:i:12:id:61000

DOI: 10.24018/ejeng.2018.3.12.1000

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