US 12,578,477 B2Granted

Method for processing telemetry data for estimating a wind speed

AssigneeLeosphere

InventorsPierre Allain, Paul Mazoyer, Laurie Pontreau, Peter Rosenbusch, Jean-Pierre Cariou

Life of this patent

Estimating the term…

Abstract

A method for processing telemetry data for estimating a wind speed. The method includes a hybridization by temporal combination, and/or by weighting, and/or by averaged projection.

Claims14

Dependent claims

A method for processing telemetry data for estimating a wind speed, said method comprising hybridization by temporal combination comprising:

measuring projections SNi, SSi, SEi, SWi and SVi of an instantaneous wind speed vector along at least one measuring laser beam emitted by a LIDAR;
wherein the projections SNi, SSi, SEi, SWi and SVi of the instantaneous wind speed vector are measured by the LIDAR by means of the at least one measuring laser beam extending, respectively, along a first axis a1, a second axis a2, a third axis a3, a fourth axis a4 and a fifth axis a5;
providing a data processing device configured for receiving said measurements and performing the following steps:
a step (A) of vector reconstruction, on the basis of equations (1) to (7), of at least two components (UΩ, VΩ) or (VΩ, WΩ) or (UΩ, WΩ) among three components (UΩ, VΩ, WΩ) of an average wind speed vector over a time interval (Ω), called partition time interval, from the successive projections, over time, of the instantaneous wind speed vector;
the component UΩ being the component of the average wind speed vector in a spatial direction (d1) extending in a spatial plane (p1) and the component VΩ being the component of the average wind speed vector in a spatial direction (d2) extending in the spatial plane p1 and the component WΩ being the component of the average wind speed vector in a spatial direction (d3) orthogonal to the plane p1:
U
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
-
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
sin
⁢
θ
,
or
equation
⁢
1
U
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
-
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
sin
⁢
θ
·
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
6
V
Ω
=
1
M
·
∑
M
(
S
Ei
)
-
1
M
·
∑
M
(
S
Wi
)
2
·
sin
⁢
γ
,
or
equation
⁢
2
V
Ω
=
1
M
·
∑
M
(
S
Ei
)
-
1
M
·
∑
M
(
S
Wi
)
2
·
sin
⁢
γ
·
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
7
W
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
+
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
cos
⁢
θ
,
or
equation
⁢
3
W
Ω
=
1
M
·
∑
M
(
S
Ei
)
+
1
M
·
∑
M
(
S
Wi
)
2
·
cos
⁢
γ
,
or
equation
⁢
4
W
Ω
=
1
M
·
∑
M
(
S
Vi
)
,
equation
⁢
5
in which i is an integer comprised between 1 and M corresponding to the successive projections SNi, SSi, SEi, SWi and Svi, over time, of the instantaneous wind speed vector over the partition time interval Ω;
SNi, SSi, SEi, SWi and SVi are the respective projections of the instantaneous wind speed vector along, respectively, a first axis (a1), a second axis (a2), a third axis (a3), a fourth axis (a4) and a fifth axis (a5) merged with the direction d3, θ is a non-zero angle formed between the axis a1 and a normal to the plane p1 and between the axis a2 and the normal to the plane p1 and γ is a non-zero angle formed between the axis a3 and the normal to the plane p1 and the axis a4 and the normal to the plane p1, the first and second axes a1 and a2 are included in a plane (p2), the third and fourth axes a3 and a4 are included in a plane (p3) and the planes p2 and p3 form a non-zero angle α between them;
a step (B) of scalar reconstruction, on the basis of equations (8) to (10), of at least one average wind speed value (Vhave) over a time interval (T), in a plane p1 or p2 or p3, called reference time interval, from a T/Ω of said least two components of the average wind speed vector reconstructed in step A;
wherein T/Ω corresponds to the number of the at least two components of the average wind speed over the partition time interval Ω included in the reference time interval T and 2Ω is less than or equal to T;
wherein:
[
Math
⁢
8
]

Vh
ave
.1
=
1
Q
·
∑
Q
(
(
U
Ω
)
2
+
(
V
Ω
)
2
+
2
·
U
Ω
·
V
Ω
·
cos
⁢
α
)
,
equation
⁢
8
[
Math
⁢
9
]

Vh
ave
.2
=
1
Q
·
∑
Q
(
(
U
Ω
)
2
+
(
W
Ω
)
2
)
,
equation
⁢
9
[
Math
⁢
10
]

Vh
ave
.3
=
1
Q
·
∑
Q
(
(
V
Ω
)
2
+
(
W
Ω
)
2
)
,
equation
⁢
10
;
and
Q is an integer comprised between 1 and (T/Ω) corresponding to the number of the at least two components of the average wind speed over the partition time interval Q included in the reference time interval T.

356 more elements

A method for processing telemetry data for estimating a wind speed, said method comprising hybridization by weighting comprising:

measuring projections SNi, SSi, SEi, SWi and SVi of an instantaneous wind speed vector along at least one measuring laser beam emitted by a LIDAR;
wherein the projections SNi, SSi, SEi, SWi and SVi of the instantaneous wind speed vector are measured by the LIDAR, by means of the at least one measuring laser beam extending, respectively, along a first axis a1, a second axis a2, a third axis a3, a fourth axis a4 and a fifth axis a5;
providing a data processing device configured for receiving said measurements and performing the following steps;
a step (C) of vector reconstruction of at least two components of the instantaneous wind speed vector from the projections SNi, SSi, SEi, SWi and SVi of the instantaneous wind speed vector;
a step (D) of vector reconstruction over a time interval (T), called reference time interval, of at least two components of an average wind speed vector from a number N of the at least two components, comprised over the reference time interval T, of the instantaneous wind speed vector reconstructed in step C;
a step (E) of scalar reconstruction of at least one instantaneous wind speed value from the at least two components of the average wind speed vector reconstructed in step C;
a step (F) of determining at least one average wind speed value from the at least one instantaneous wind speed value reconstructed in step E;
a step (G) of determining at least one average wind speed value over the reference time interval T from the at least two components of the average wind speed vector reconstructed in step D;
and
a step (H) of determining at least one average wind speed value (Vhave) over the time interval T by weighting of a sum of the at least one average wind speed value reconstructed in step F and of the at least one average wind speed value determined in step G.

7 more elements

A method for processing telemetry data for estimating a wind speed, said method comprising an averaged projection comprising:

measuring, by a LIDAR, projections SNi, SSi, SEi, SWi and SVi of an instantaneous wind speed vector along at least one measuring laser beam, emitted by the LIDAR, extending, respectively, along a first axis a1, a second axis a2, a third axis a3, a fourth axis a4 and a fifth axis a5;
providing a data processing device configured for receiving said measurements and performing the following steps:
a step I, of vector reconstruction, of at least two components (Ui, Vi) or (Vi, Wi) or (Ui, Wi) among three components (Ui, Vi, Wi) of the instantaneous wind speed vector from the projections of the instantaneous wind speed vector and from equations (34) to (40);
i is an integer comprised between 1 and N corresponding to the number of successive projections of the instantaneous wind speed vector over a time interval (T) called reference time interval, Ui being the component of the instantaneous wind speed vector in a spatial direction (d1) extending in a spatial plane (p1), the component Vi being the component of the instantaneous wind speed vector in a spatial direction (d2) extending in the spatial plane p1 and the component Wi being the component of the average wind speed vector in a spatial direction (d3) orthogonal to the plane p1:
[
Math
⁢
34
]

U
i
=
S
Ni
-
S
Si
2.
sin
⁢
θ
,
or
equation
⁢
34
[
Math
⁢
35
]

U
i
=
S
Ni
-
S
Si
2.
sin
⁢
θ
.
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
39
[
Math
⁢
36
]

V
i
=
S
Ei
-
S
Wi
2.
sin
⁢
γ
,
or
equation
⁢
35
[
Math
⁢
37
]

V
i
=
S
Ei
-
S
Wi
2.
sin
⁢
γ
.
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
40
[
Math
⁢
38
]

W
i
=
S
Ei
+
S
Wi
2.
cos
⁢
γ
,
or
equation
⁢
36
[
Math
⁢
39
]

W
i
=
S
Ni
+
S
Si
2.
cos
⁢
θ
,
or
equation
⁢
37
[
Math
⁢
40
]

W
i
=
S
Vi
,
equation
⁢
38
in which SNi, SSi, SEi, SWi and SVi are projections of the instantaneous wind speed vector along, respectively, a first axis (a1), a second axis (a2), a third axis (a3), a fourth axis (a4) and a fifth axis (a5) merged with the direction d3, θ is a non-zero angle formed between the axis a1 and a normal to the plane p1 and between the axis a2 and the normal to the plane p1 and γ is a non-zero angle formed between the axis a3 and the normal to the plane p1 and the axis a4 and the normal to the plane p1, the first and second axes a1 and a2 are included in a plane (p2), the third and fourth axes a3 and a4 are included in a plane (p3) and the planes p2 and p3 form a non-zero angle α between them,
a step J of determination of at least one average wind speed value (Vhave) in plane p1, p2 or p3 respectively over the reference time interval T, by projection, over the time interval T, on the basis of equations (41) to (43), of the at least two components of the instantaneous wind speed vector reconstructed in step I:
[
Math
⁢
41
]

Vh
ave
.1
=
1
N
-
1
·
∑
N
-
1
(
U
i
+
1
.
U
i
+
V
i
+
1
.
V
i
+
U
i
+
1
.
V
i
.
cos
⁢
α
+
V
i
+
1
.
U
i
.
cos
⁢
α
(
U
i
)
2
+
(
V
i
)
2
+
2.
U
i
.
V
i
.
cos
⁢
α
)
,
equation
⁢
41
[
Math
⁢
42
]

Vh
ave
.2
=
1
N
-
1
·
∑
N
-
1
(
U
i
+
1
.
U
i
+
W
i
+
1
.
W
i
(
U
i
)
2
+
(
W
i
)
2
)
,
equation
⁢
42
[
Math
⁢
43
]

Vh
ave
.3
=
1
N
-
1
·
∑
N
-
1
(
V
i
+
1
.
V
i
+
W
i
+
1
.
W
i
(
V
i
)
2
+
(
W
i
)
2
)
,
equation
⁢
43

362 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/756,411Filed 20 Nov 2020
Priority: FR 191319225 Nov 2019
Published: US 2022/0413158 A129 Dec 2022
Granted: 17 Mar 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G01S 17/95
Lidar systems specially adapted for specific applications: for meteorological use
G01P 5/26
Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft: by measuring the direct…
G01S 13/951
For meteorological use: ground based
G01S 13/958
For meteorological use: theoretical aspects

Family

US 2022/0413158 A1Pre-grant publication · published 29 Dec 2022
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From the US filing history. Foreign family members aren’t listed.

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Abstract

A method for processing telemetry data for estimating a wind speed. The method includes a hybridization by temporal combination, and/or by weighting, and/or by averaged projection.

A method for processing telemetry data for estimating a wind speed, said method comprising hybridization by temporal combination comprising:

measuring projections SNi, SSi, SEi, SWi and SVi of an instantaneous wind speed vector along at least one measuring laser beam emitted by a LIDAR;
wherein the projections SNi, SSi, SEi, SWi and SVi of the instantaneous wind speed vector are measured by the LIDAR by means of the at least one measuring laser beam extending, respectively, along a first axis a1, a second axis a2, a third axis a3, a fourth axis a4 and a fifth axis a5;
providing a data processing device configured for receiving said measurements and performing the following steps:
a step (A) of vector reconstruction, on the basis of equations (1) to (7), of at least two components (UΩ, VΩ) or (VΩ, WΩ) or (UΩ, WΩ) among three components (UΩ, VΩ, WΩ) of an average wind speed vector over a time interval (Ω), called partition time interval, from the successive projections, over time, of the instantaneous wind speed vector;
the component UΩ being the component of the average wind speed vector in a spatial direction (d1) extending in a spatial plane (p1) and the component VΩ being the component of the average wind speed vector in a spatial direction (d2) extending in the spatial plane p1 and the component WΩ being the component of the average wind speed vector in a spatial direction (d3) orthogonal to the plane p1:
U
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
-
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
sin
⁢
θ
,
or
equation
⁢
1
U
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
-
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
sin
⁢
θ
·
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
6
V
Ω
=
1
M
·
∑
M
(
S
Ei
)
-
1
M
·
∑
M
(
S
Wi
)
2
·
sin
⁢
γ
,
or
equation
⁢
2
V
Ω
=
1
M
·
∑
M
(
S
Ei
)
-
1
M
·
∑
M
(
S
Wi
)
2
·
sin
⁢
γ
·
cos
⁡
(
α
2
)
,
and
/
or
equation
⁢
7
W
Ω
=
1
M
·
∑
M
(
S
N
⁢
i
)
+
1
M
·
∑
M
(
S
S
⁢
i
)
2
·
cos
⁢
θ
,
or
equation
⁢
3
W
Ω
=
1
M
·
∑
M
(
S
Ei
)
+
1
M
·
∑
M
(
S
Wi
)
2
·
cos
⁢
γ
,
or
equation
⁢
4
W
Ω
=
1
M
·
∑
M
(
S
Vi
)
,
equation
⁢
5
in which i is an integer comprised between 1 and M corresponding to the successive projections SNi, SSi, SEi, SWi and Svi, over time, of the instantaneous wind speed vector over the partition time interval Ω;
SNi, SSi, SEi, SWi and SVi are the respective projections of the instantaneous wind speed vector along, respectively, a first axis (a1), a second axis (a2), a third axis (a3), a fourth axis (a4) and a fifth axis (a5) merged with the direction d3, θ is a non-zero angle formed between the axis a1 and a normal to the plane p1 and between the axis a2 and the normal to the plane p1 and γ is a non-zero angle formed between the axis a3 and the normal to the plane p1 and the axis a4 and the normal to the plane p1, the first and second axes a1 and a2 are included in a plane (p2), the third and fourth axes a3 and a4 are included in a plane (p3) and the planes p2 and p3 form a non-zero angle α between them;
a step (B) of scalar reconstruction, on the basis of equations (8) to (10), of at least one average wind speed value (Vhave) over a time interval (T), in a plane p1 or p2 or p3, called reference time interval, from a T/Ω of said least two components of the average wind speed vector reconstructed in step A;
wherein T/Ω corresponds to the number of the at least two components of the average wind speed over the partition time interval Ω included in the reference time interval T and 2Ω is less than or equal to T;
wherein:
[
Math
⁢
8
]

Vh
ave
.1
=
1
Q
·
∑
Q
(
(
U
Ω
)
2
+
(
V
Ω
)
2
+
2
·
U
Ω
·
V
Ω
·
cos
⁢
α
)
,
equation
⁢
8
[
Math
⁢
9
]

Vh
ave
.2
=
1
Q
·
∑
Q
(
(
U
Ω
)
2
+
(
W
Ω
)
2
)
,
equation
⁢
9
[
Math
⁢
10
]

Vh
ave
.3
=
1
Q
·
∑
Q
(
(
V
Ω
)
2
+
(
W
Ω
)
2
)
,
equation
⁢
10
;
and
Q is an integer comprised between 1 and (T/Ω) corresponding to the number of the at least two components of the average wind speed over the partition time interval Q included in the reference time interval T.

356 more elements

Facts

Application

17/756,411Filed 20 Nov 2020

Priority

FR 191319225 Nov 2019

Published

US 2022/0413158 A129 Dec 2022

Granted

17 Mar 2026

Term ends

Not estimatedThe source records don’t support an estimate.

Classification10 codes

G01S 17/95
Lidar systems specially adapted for specific applications: for meteorological use
G01P 5/26
Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft: by measuring the direct…
G01S 13/951
For meteorological use: ground based
G01S 13/958
For meteorological use: theoretical aspects