DYNAMIC 3D WIND MAPPING SYSTEM AND METHOD

• US 20110149268A1
• Filed: 12/17/2010
• Published: 06/23/2011
• Est. Priority Date: 12/17/2009
• Status: Abandoned Application

• Current Assignee: Utah State University
• Original Assignee: Utah State University
• Inventors: Marchant, Alan B., Howard, Allen Quentin JR., Wojcik, Michael, Barson, Robert D.
• Application Number:
  US12/972,074
• Publication Number:
  US 20110149268A1
• Time in Patent Office: Days
• US Class Current: 356/27
• CPC Class Codes: G01P 5/001 Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation
• CPC Class Codes: G01S 17/58 Velocity or trajectory determination systems; Sense-of-movement determination systems
• CPC Class Codes: G01S 17/95 for meteorological use
• CPC Class Codes: G01S 7/4817 relating to scanning
• CPC Class Codes: G01W 1/00 Meteorology
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems for obtaining data regarding a volume of atmosphere can include a lidar transceiver. Some systems include scanning devices that are capable of directing laser beams produced by the lidar transceiver in a pattern that sweeps through the volume of atmosphere. Information regarding light that is backscattered from the laser beams can be used to construct a three-dimensional data set. In some methods, wind-field information can be extracted from the three-dimensional data set.

Claims

1. A method for measuring wind velocity, the method comprising:

collecting volumetric aerosol density distribution data from at least two lidar scan volumes at separate time intervals, wherein the lidar scan volumes are within an atmospheric volume of interest, and wherein each lidar scan volume is three-dimensional so as to extend in an axial direction and in two mutually orthogonal transverse directions relative to individual lidar scan pulses;

analyzing the data so as to obtain a set of intermediate values; and

calculating at least one wind vector from the set of intermediate values.

2. The method of claim 1, wherein collecting the volumetric aerosol density distribution data comprises sequentially scanning a series of lidar pulses in different directions so as to sweep through an interior of the atmospheric volume.

3. The method of claim 2, wherein the series of lidar pulses are scanned in a Lissajou pattern.

4. The method of claim 1, wherein analyzing the aerosol density distribution data comprises obtaining intermediate values for one or more localized volumes, wherein each localized volume comprises three dimensions of spatial information and time information.

5. The method of claim 4, further comprising calculating multiple wind vectors from intermediate values for multiple localized volumes so as to determine a field of three-dimensional wind vectors.

6. The method of claim 5, wherein calculation of the wind vectors is constrained so as to satisfy a condition of incompressibility.

7. The method of claim 1, wherein analyzing the aerosol density distribution data comprises autocorrelating the aerosol density distribution data for one or more localized volumes.

8. The method of claim 7, wherein each localized volume comprises a subset of the atmospheric volume.

9. The method of claim 8, wherein each localized volume further comprises time information.

10. The method of claim 7, wherein calculating at least one wind vector from the set of intermediate values comprises calculating space versus time cross-correlation coefficients of an autocorrelation function and determining one or more localized wind vectors from the cross-correlation coefficients.

11. The method of claim 1, wherein analyzing the aerosol density distribution data comprises determining spatio-temporal gradient correlation coefficients from the data for one or more localized volumes.

12. The method of claim 11, wherein each localized volume comprises a subset of the atmospheric volume.

13. The method of claim 12, wherein each localized volume further comprises time information.

14. The method of claim 11, wherein calculating at least one wind vector from the set of intermediate values comprises determining one or more localized wind vectors from the spatio-temporal gradient correlation coefficients.

15. The method of claim 1, wherein the separate time intervals are consecutive.

16. A method of determining wind velocity, the method comprising:

scanning, during a first time period, an atmospheric volume that has a three-dimensional outer boundary so as to obtain a first set of aerosol density distribution data from positions that are at or near the boundary about a periphery thereof and from positions that are spaced from the boundary and are at an interior thereof;

scanning, during a second time period, the atmospheric volume so as to obtain a second set of aerosol density distribution data from positions that are at or near the boundary about the periphery thereof and from positions that are spaced from the boundary and are at the interior of the boundary; and

comparing the second set of data to the first set of data.

17. The method of claim 16, further comprising calculating at least one wind vector from intermediate values obtained by comparing the second set of data to the first set of data.

18. The method of claim 17, wherein calculating at least one wind vector utilizes a set of coefficients obtained by comparing the second set of data to the first set of data.

19. The method of claim 18, wherein the set of coefficients comprises one or more of cross-correlation coefficients and spatio-temporal gradient correlation coefficients.

20. The method of claim 16, further comprising calculating multiple wind vectors from the first and second sets of data so as to determine a field of three-dimensional wind vectors.

21. The method of claim 20, further comprising:

scanning, during third and additional time periods, the atmospheric volume so as to obtain third and additional sets of aerosol density distribution data;

calculating additional wind vectors based on the third and additional sets of data; and

updating the field of three-dimensional wind vectors with the additional wind vectors such that the field is dynamic.

22. The method of claim 16, wherein scanning the atmospheric volume comprises rotating a light-directing component so as to direct consecutive laser pulses in different directions.

23. The method of claim 16, wherein scanning the atmospheric volume comprises oscillating a light-directing component so as to direct consecutive laser pulses in different directions.

24. The method of claim 16, wherein scanning the atmospheric volume comprises directing laser pulses onto or through each of two separate light-directing components.

25. The method of claim 16, wherein scanning the atmospheric volume comprises sending laser pulses along a set of first paths from a lidar transceiver and receiving backscattered portions of the laser pulses via the lidar transceiver, wherein the backscattered portions of the laser pulses are directed along a set of second paths that are offset from the set of first paths.

26. The method of claim 16, wherein an amount of time that passes between a beginning of the first time period and an end of the second time period is no greater than about 2 seconds.

27. A method of measuring wind velocity, the method comprising:

scanning in three dimensions an atmospheric volume via an elastic lidar system to obtain a first set of data regarding a first density distribution of aerosols that are within the atmospheric volume;

scanning in three dimensions the atmospheric volume via the elastic lidar system to obtain a second set of data regarding a second density distribution of aerosols that are within the atmospheric volume; and

comparing the first and second sets of data to each other.

28. The method of claim 27, wherein the first and second sets of data are obtained from the same positions in space but are gathered at times that are offset from each other by a predetermined amount.

29. The method of claim 28, wherein the predetermined amount of time by which the second set of data is offset from the first set of data is no more than about 1 second.

30. The method of claim 27, further comprising calculating at least one wind vector based on the results of the comparison of the first and second sets of data to each other.

31. The method of claim 27, wherein scanning comprises altering a position or orientation of an optical element via a controller, the method further comprising storing information related to one or more positions or orientations of the optical element for each of the first and second sets of data.

32. A method of evaluating aerosol characteristics of an atmospheric region, the method comprising:

scanning a pulsed laser beam in a two-dimensional pattern so as to deliver a first series of laser pulses into an atmospheric volume in a pattern that ultimately forms a three-dimensional outer boundary via a first portion of the pulses, wherein a second portion of the pulses pass through a region that is ultimately interior to the outer boundary thus formed;

receiving backscattered light from the laser pulses so as to obtain, for each laser pulse, information regarding aerosol density along a path traveled by the pulse; and

storing the information regarding aerosol density.

33. The method of claim 32, further comprising delivering a second series of laser pulses into the atmospheric volume in a pattern that ultimately forms a three-dimensional outer boundary via a first portion of the pulses, wherein a second portion of the second series of pulses pass through a region that is ultimately interior to the outer boundary thus formed;

receiving backscattered light from the second series of laser pulses so as to obtain, for each laser pulse, information regarding aerosol density along a path traveled by the pulse; and

comparing the information regarding aerosol density obtained from the second series of laser pulses with the information obtained from the first series of laser pulses.

34. The method of claim 32, wherein the atmospheric volume can be represented by voxels in a rectilinear grid, and wherein the two-dimensional pattern is such that storing the information regarding aerosol density comprises populating voxels in a non-sequential order.

35. The method of claim 34, wherein the two-dimensional scan pattern comprises a Lissajou pattern.

36. The method of claim 32, wherein storing the information regarding aerosol density comprises reformatting the information so as to comply with a rectilinear format.

37. A system for measuring wind velocity, the system comprising:

a lidar transceiver that is configured to emit laser pulses and is configured to receive light signals that are returned from the emitted laser pulses;

one or more scanning elements configured to transition among a variety of orientations so as to direct a series of laser pulses sequentially in a plurality of different directions to thereby form a two-dimensional scan pattern that can extend through a volume of atmosphere; and

a processor configured to analyze data regarding the light signals that are returned from the emitted laser pulses and regarding an orientation of the one or more scanning elements when each of the light signals is received

38. The system of claim 37, wherein the lidar transceiver is configured to deliver laser pulses that have a sufficiently long wavelength to make them retina-safe.

39. The system of claim 37, wherein one or more of the scanning elements comprise one or more rotatable optical elements.

40. The system of claim 39, wherein the one or more rotatable optical elements comprise one or more mirrors, holographic elements, diffraction gratings, or prisms.

41. The system of claim 37, wherein the one or more scanning elements are configured to create a Lissajou scan pattern.

42. The system of claim 37, wherein the one or more scanning elements are configured to create a serpentine scan pattern.

43. The system of claim 37, wherein the one or more scanning elements are movable relative to the transceiver.

44. The system of claim 37, wherein the one or more scanning elements comprise attachments to the transceiver that are configured to reorient the transceiver so as to direct the series of laser pulses sequentially in a plurality of different directions.

45. The system of claim 37, wherein the one or more scanning elements comprise two separate mirrors, wherein each mirror is coupled with a separate controller, and wherein the controllers are configured to rotate the mirrors at different rates.

46. The system of claim 37, wherein the one or more scanning elements comprise optical elements that are configured to both redirect a path of a laser pulse and redirect a field of view of optics of a receiver portion of the transceiver.

47. The system of claim 37, wherein the transceiver comprises an avalanche photodiode that is suitable for use in elastic lidar applications.

48. The system of claim 37, wherein the processor is configured to analyze the data regarding the light signals and the orientation of the one or more scanning elements so as to generate a three-dimensional wind vector field.