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Title:
MEASUREMENT-CORRECTED WIND PROFILE FOR INCREASED ACCURACY OF WIND FLOW FIELD
Document Type and Number:
WIPO Patent Application WO/2023/164185
Kind Code:
A4
Abstract:
Systems, devices, and methods for generating a first wind model, wherein the first wind model is based on at least one or more key parameters; generating a second wind model, wherein the second wind model is based on a secondary wind measurement device, from least one of: a second stationary anemometer, an aerial-based data from an onboard anemometer, a control-system derived wind vector during a flight of an unmanned aerial vehicle (UAV), and a third-party meteorological data service; adjusting the second wind model base on a comparison of two or more altitudes; and adjusting the one or more key parameters to achieve a solution convergence, where the solution convergence is achieved when at least one of: a determined error between a received wind data and the second wind model is minimized to within an accepted tolerance range and a number of minimization attempts exceeds a threshold.

Inventors:
ECKERT TRAVIS (US)
SMITH BRENDAN (US)
CORBETT ABIGAIL (US)
DAWSON KYLE (US)
Application Number:
PCT/US2023/013893
Publication Date:
October 19, 2023
Filing Date:
February 24, 2023
Export Citation:
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Assignee:
SEEKOPS INC (US)
International Classes:
G01W1/04; G01W1/08; G01W1/10
Attorney, Agent or Firm:
ZARRABIAN, Michael et al. (US)
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Claims:
AMENDED CLAIMS received by the International Bureau on 30 August 2023 (30.08.2023) A method comprising: generating a first wind model (506), wherein the first wind model (506) is based on at least one or more key parameters; generating a second wind model (512), wherein the second wind model (512) is based on a secondary wind measurement device from an aerial-based data from an onboard anemometer; adjusting the second wind model (512) based on a comparison of two or more altitudes; and adjusting the one or more key parameters to achieve a solution convergence, wherein the solution convergence is achieved when at least one of a determined error between a received wind data and the second wind model is minimized to within an accepted tolerance range and a number of minimization attempts exceeds a threshold. The method of claim 1, wherein the one or more key parameters comprise a surface roughness value. The method of claim 1, wherein the one or more key parameters comprise a stability value. The method of claim 1, wherein the one or more key parameters comprise a displacement height value. The method of claim 1, further comprising: determining a presence of one or more trace gases using a determined wind model. The method of claim 3, further comprising: quantifying the presence of the one or more trace gases using a determined wind model. The method of claim 3, further comprising: determining a flow field using two or more UAV-based wind measurements.

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AMENDED SHEET (ARTICLE 19) The method of claim 1, wherein a UAV-based data comprises one or more of: a throttle response, a pitch, a roll, and a yaw. The method of claim 1, wherein the two or more altitudes comprise one or more of: a real anemometer altitude, an altitude where highest concentrations of trace gas are measured, a building height, and an estimated building height. The method of claim 1, wherein the two or more altitudes comprise one or more of: a real anemometer altitude, an altitude where a highest concentration of trace gas is measured, a building height, an estimated building height, and a displacement height. The method of claim 1, wherein the determined error between the received wind data and the second wind model is a least square residual error. The method of claim 1, wherein a wind speed measured by the secondary wind measurement device is at least one of: higher than an actual wind speed and lower than the actual wind speed. The method of claim 12, wherein the one or more key parameters are adjusted based on the wind speed measured by the secondary wind measurement device. A system (501) comprising: a first stationary anemometer (518) configured to generate wind data; a second stationary anemometer (521) configured to generate wind data; a third-party meteorological data service (520) configured to provide wind data; an unmanned aerial vehicle (UAV) (522), wherein the UAV (522) comprises one or more of: a control system (524), a global positioning sensor (GPS) (526), a trace gas sensor (528), a LIDAR sensor (530), a barometer sensor (532), a thermistor sensor (534), and an anemometer (535); a processor (536) in communication with one or more of: the first stationary anemometer (518), the second stationary anemometer (521), the third-party meteorological data service (520), and the unmanned aerial vehicle (UAV) (522), where the processor is configured to:

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AMENDED SHEET (ARTICLE 19) determine, by an initial parameter component (538), an initial parameter guess (502); determine, by a first wind data component (540), a first wind data from at least one of the first stationary anemometer (518) and the third-party meteorological data service (520); generate, by a first wind model component (542), a first wind model (506) based on the determined initial parameter component and the determined first wind data; determine, by a second wind data component (544), a second wind data from the anemometer (535); process, by an optimizing algorithm component (548), the generated first wind model (506) via an optimizing algorithm (510); generate, by a second wind model component (546), a second wind model (512) based on one or more of the optimizing algorithm (510) and the first wind data; generate, by the concentration and position data component (550), a trace gas data from data from the trace gas sensor (528) and the GPS (526) of the UAV (522); and determine, by the flux calculation component (552), an elevated trace gas concentration based on the generated trace gas data and the second wind model (512). The system of claim 14, wherein a wind speed measured by the anemometer (535) is at least one of higher than an actual wind speed and lower than the actual wind speed. The system of claim 15, wherein the second wind model component (546) is generated based on the wind speed measured by the secondary wind measurement device.

AMENDED SHEET (ARTICLE 19)