ICUAS 2020 Paper Abstract

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Paper ThC4.4

Hollenbeck, Derek (MESA Lab at UC Merced), Chen, YangQuan (University of California, Merced)

Characterization of Ground-To-Air Emissions with sUAS Using a Digital Twin Framework

Scheduled for presentation during the Regular Session "Micro- and Mini- UAS II" (ThC4), Thursday, September 3, 2020, 18:00−18:20, Naousa

2020 International Conference on Unmanned Aircraft Systems (ICUAS), September 1-4, 2020 (Postponed from June 9-12, 2020), Athens, Greece

This information is tentative and subject to change. Compiled on September 25, 2020

Keywords UAS Applications, UAS Testbeds, Simulation

Abstract

Environmental sensing using small unmanned aircraft systems (sUAS) has become more and more desirable due to the spatial temporal resolution and frequency of sampling. In the oil and gas industry, the process of detecting, quantifying, and localizing leaks are of utmost concern. Emission leaks that go undetected are potentially hazardous and can be costly to companies. In this work we extend a digital twin framework to a controlled release experiment using sUAS. The digital twin model is tuned heuristically and compared using a mass balance method to estimate the source rate. The results show qualitative agreement with the temporal and spatial behavior of the experimental data.

 

 

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