ID:
publications-4474
Type:
article
Year:
2022
Authors:
Hollenbeck, Derek and Hollenbeck, Derek and Chen, YangQuan and Chen, YangQuan
Title:
A Digital Twin Framework for Environmental Sensing with sUAS
Venue/Journal:
Journal of Intelligent and Robotic Systems
DOI:
10.1007/s10846-021-01542-8
Research type:
Water System:
Technical Focus:
Abstract:
Abstract This paper proposes a digital twin (DT) framework for point source applications in environmental sensing (ES). The DT concept has become quite popular among process and manufacturing industries for improving performance and estimating remaining useful life (RUL). However, environmental behavior, such as in gas dispersion, is ever changing and hard to model in real-time. The DT framework is applied to the point source environmental monitoring problem, through the use of hybrid modeling and optimization techniques. A controlled release case study is overviewed to illustrate our proposed DT framework and several spatial interpolation techniques are explored for source estimation. Future research efforts and directions are discussed.
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