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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Real-Time Wind Velocity Monitoring Based on Acoustic Tomography

verfasst von : Yong Bao, Jiabin Jia

Erschienen in: Geological Disaster Monitoring Based on Sensor Networks

Verlag: Springer Singapore

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Abstract

Wind-related disasters cause tremendous loss around the world, therefore a fast, low-cost but accurate wind velocity monitoring technique is highly desirable and will provide great benefits for wind risk management. Acoustic travel-time tomography, which utilise the dependence of sound speed on the wind velocity along the sound propagation path, is considered to be a promising remote sensing technique for wind velocity monitoring. The success of acoustic tomography technique stems from then various advantage of non-invasive, low cost and easy to implement when compared to other techniques. This chapter describes the fundamentals of the simultaneously multi-channel time-of-flight measurements and the tomographic reconstruction of 2D horizontal wind velocity distributions based on the use of offline iteration method. The feasibility and effectiveness of the proposed methods will be numerically validated in a simulation study.

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Vorheriges Kapitel Human Detection Based on Radar Sensor Network in Natural Disaster
Nächstes Kapitel Joint Optimization of Resource Allocation with Inter-beam Interference for a Multi-beam Satellite and Terrestrial Communication System
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Metadaten
Titel
Real-Time Wind Velocity Monitoring Based on Acoustic Tomography
verfasst von
Yong Bao
Jiabin Jia
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Geological Disaster Monitoring Based on Sensor Networks

Print ISBN: 978-981-13-0991-5

Electronic ISBN: 978-981-13-0992-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-0992-2_9