Gas Density Sensors Integration on Heterogeneous Mobile Robots

Gas measurement to describe a gas dispersion throughout the indoor environment was developed using two heterogeneous mobile sensors. They were applied to two different heights of measurement. These heterogeneities are related to the sensor type and sensor's carrier. They affect the measurement results in terms of accuracy and accumulative information. Calibration and data synchronization were required to keep the overall results representative with error minimization. The experiment-based mobile measurements were conducted by utilizing a nano-UA V and a UGV in an indoor environment. The result indicates that the gas dispersion can be generated at each height. The variation of the measurement results was influenced by the wind direction, gas mass, sensor sensitivities, and even the UAV's turbulences.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icitisee63424.2024.10730001
Citations
1
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.35
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article

Gas Density Sensors Integration on Heterogeneous Mobile Robots

Agung Nugroho Jati, Adrian Ferdin Jotham, Aulia Samudra Jimananda, Fahmi Adhiwangsa et al.
1 citations
Energy Efficient Wireless Sensor Networks
0.35
article

Gas Density Sensors Integration on Heterogeneous Mobile Robots

Agung Nugroho Jati, Adrian Ferdin Jotham, Aulia Samudra Jimananda, Fahmi Adhiwangsa, Hasbi Ash Shiddieqy
article en
1 citations

Abstract

Gas measurement to describe a gas dispersion throughout the indoor environment was developed using two heterogeneous mobile sensors. They were applied to two different heights of measurement. These heterogeneities are related to the sensor type and sensor's carrier. They affect the measurement results in terms of accuracy and accumulative information. Calibration and data synchronization were required to keep the overall results representative with error minimization. The experiment-based mobile measurements were conducted by utilizing a nano-UA V and a UGV in an indoor environment. The result indicates that the gas dispersion can be generated at each height. The variation of the measurement results was influenced by the wind direction, gas mass, sensor sensitivities, and even the UAV's turbulences.

Telkom University (ID)
Affordable and clean energy
Openalex Percentile: Top 37%
Energy Efficient Wireless Sensor Networks
0.35
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