DOI: 10.5937/jaes0-51157
This is an open access article distributed under the CC BY 4.0
Volume 22 article 1236 pages: 727-738
The effect of poor air quality on human health has been linked to both short-term and long-term exposure to air pollutants. One of the most important steps in reducing emissions is accurate identification of these pollutants. This can be achieved by using Internet of Things equipped remotely operated airships that can survey large areas and gather pollution data. The ability of an airship to function at low altitudes for extended periods is the main design requirement of airships. This study describes a methodology for conceptualizing and building a helium-filled blimp for remote measurement of atmospheric pollutants (Carbon monoxide, Carbon dioxide, and Sulphur dioxide), temperature, and pressure. An onboard telemetry system measures the data while the airship is in flight and transmits them in real time to a ground-based station. The experiment showed that remotely operated airships are capable of gathering air data and their quality, enabling environmental scientists and regulatory agencies to better understand the behaviour of air pollutants and take steps to mitigate them.
The research outlined in this paper was technically supported by Hitech Pack, Bengaluru, Karnataka. Partial financial support was received from the Innovation and Entrepreneurship Development Center (IEDC) of the Dayananda Sagar College of Engineering, Bengaluru and Karnataka State Council for Science and Technology (KSCST), Bengaluru.
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