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Experimentation and Validation of UAS Mounted Wind Sensors for Microscale Wind Mapping.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Experimentation and Validation of UAS Mounted Wind Sensors for Microscale Wind Mapping./
作者:	Revard, Braydon.
面頁冊數:	1 online resource (157 pages)
附註:	Source: Masters Abstracts International, Volume: 85-07.
Contained By:	Masters Abstracts International85-07.
標題:	Aerospace engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798381364743

Experimentation and Validation of UAS Mounted Wind Sensors for Microscale Wind Mapping.
Revard, Braydon.

Experimentation and Validation of UAS Mounted Wind Sensors for Microscale Wind Mapping. - 1 online resource (157 pages)

Source: Masters Abstracts International, Volume: 85-07.

Thesis (M.S.)--Oklahoma State University, 2023.

Includes bibliographical references

UAS technologies are becoming more widely utilized in civil and commercial fields and military applications. Amazon's drone delivery service and Boeing's eVTOL air taxi are some examples of this. With small urban UAS applications becoming common, infrastructure, such as urban wind gust modeling known as "wind mapping" is being developed. Safety and efficiency of UAS operations are strongly impacted by low-altitude wind, such as gusts around buildings. Gusts can negatively affect pilot operations, reduce flight time, and cause damage to the UAS system. For this project, a fleet of specialized UAS quad rotors collected local wind data around buildings and urban environments to aid in creating a "wind map" to model gust behavior. UAS systems equipped with ultrasonic anemometers were experimentally validated through comparison flights near Oklahoma Mesonet towers and mast mounted anemometers. Wind measurements were then collected around buildings on the Oklahoma State University campus, specifically the Kerr-Drummond buildings, to model wind gusts inside of an urban environment to create a "wind map" model concept. Through the validation process it was determined that the UAS mounted wind sensors could accurately measure wind speed within 1 m/s of known accurate wind sensors. The experimental wind map result from the Kerr-Drummond flights resulted in finding high turbulence areas to avoid during urban UAS operations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381364743Subjects--Topical Terms:

686400
Aerospace engineering.
Subjects--Index Terms:

Ultrasonic anemometersIndex Terms--Genre/Form:

554714
Electronic books.

Experimentation and Validation of UAS Mounted Wind Sensors for Microscale Wind Mapping.
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504 $a Includes bibliographical references
520 $a UAS technologies are becoming more widely utilized in civil and commercial fields and military applications. Amazon's drone delivery service and Boeing's eVTOL air taxi are some examples of this. With small urban UAS applications becoming common, infrastructure, such as urban wind gust modeling known as "wind mapping" is being developed. Safety and efficiency of UAS operations are strongly impacted by low-altitude wind, such as gusts around buildings. Gusts can negatively affect pilot operations, reduce flight time, and cause damage to the UAS system. For this project, a fleet of specialized UAS quad rotors collected local wind data around buildings and urban environments to aid in creating a "wind map" to model gust behavior. UAS systems equipped with ultrasonic anemometers were experimentally validated through comparison flights near Oklahoma Mesonet towers and mast mounted anemometers. Wind measurements were then collected around buildings on the Oklahoma State University campus, specifically the Kerr-Drummond buildings, to model wind gusts inside of an urban environment to create a "wind map" model concept. Through the validation process it was determined that the UAS mounted wind sensors could accurately measure wind speed within 1 m/s of known accurate wind sensors. The experimental wind map result from the Kerr-Drummond flights resulted in finding high turbulence areas to avoid during urban UAS operations.
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653 $a Windmap
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