JP7143552B2 - Wind detection device, wind detection method and observation device - Google Patents

Description

The present disclosure relates to a wind detection device, a wind detection method, and an observation device.

Observation equipment includes observation equipment that detects the wind direction within the observation area based on the received signal of the light reflected by the atmosphere within the observation area, including the flight path of the aircraft (hereinafter referred to as "conventional observation equipment"). There is

By the way, there is a wake turbulence monitoring method for detecting the wake turbulence of an aircraft from the spectrum of a received light signal (see Patent Document 1, for example).

Japanese Patent Publication No. 2010-526716

Aircraft lift during takeoff and landing is less than during flight. For this reason, aircraft are prone to rolling due to crosswinds, especially during takeoff and landing.
However, although conventional observation equipment can detect the direction of the wind within the observation area, it cannot determine whether the wind within the observation area is rolling wind that can cause the aircraft to roll. I had a problem.
The wake turbulence monitoring method disclosed in Patent Document 1 is also not a method for detecting rolling wind, and thus cannot solve the above problem.

The present disclosure has been made to solve the problems described above, and an object thereof is to obtain a wind detection device and a wind detection method capable of detecting rolling wind that may cause rolling of an aircraft. and

The wind detection device according to the present disclosure acquires a received signal of electromagnetic waves reflected by the atmosphere in an observation area including the flight path of an aircraft, and from the spectrum of the received signal, a plurality of areas included in the observation area. A speed vector calculation unit that calculates a vector indicating wind direction and wind speed as each speed vector in a cell, and a plurality of cells whose speed vectors have been calculated by the speed vector calculation unit. Select multiple combinations of two cells that are the length of the roll and detect roll winds that can cause the aircraft to roll based on the velocity vectors of the two cells contained in each combination. and a swaying wind detection unit.

According to the present disclosure, roll winds that can cause an aircraft to roll can be detected.

1 is a configuration diagram showing observation device 1 including wind detection device 14 according to Embodiment 1. FIG. FIG. 2A is an explanatory diagram showing the positional relationship between the observation device 1, the aircraft 2, the runway 3, and the observation area 4, and FIG. 1 is a plan view looking at . 1 is a configuration diagram showing a wind detection device 14 according to Embodiment 1. FIG. 2 is a hardware configuration diagram showing hardware of the wind detection device 14 according to Embodiment 1. FIG. 2 is a hardware configuration diagram of a computer when the wind detection device 14 is realized by software, firmware, or the like; FIG. 4 is a flow chart showing a wind detection method, which is a processing procedure of the wind detection device 14 according to Embodiment 1. FIG. 4 is an explanatory diagram showing a plurality of cells included in an observation area 4; FIG. FIG. 8A shows an example of a rolling wind in which the wind direction near the tips of both wings of an aircraft 2 is vertically upward, and the wind speed near the tip of one wing is different from the wind speed near the tip of the other wing. FIG. 8B is an explanatory diagram showing wind in which the wind direction near the tip of one wing of the aircraft 2 is vertically downward, and the wind direction near the tip of the other wing is vertically upward, as an example of the rolling wind. 8C is an explanatory diagram showing a wind in which both the wind direction vertically above the aircraft 2 and the wind direction vertically below the aircraft 2 are in the same horizontal direction, and the wind speeds vertically above and below the aircraft 2 are different; FIG. FIG. 3 is an explanatory diagram showing, as an example of rolling winds, winds in directions different from each other in the direction of the wind vertically above the aircraft 2 and the direction of the wind vertically below the aircraft 2; FIG. 3 is a configuration diagram showing a wind detection device 14 according to Embodiment 2; FIG. 9 is a hardware configuration diagram showing hardware of a wind detection device 14 according to Embodiment 2; FIG. 4 is an explanatory diagram showing an example of a anti-rolling moment map generated by a map generator 25; FIG.

Hereinafter, in order to describe the present disclosure in more detail, embodiments for carrying out the present disclosure will be described with reference to the accompanying drawings.

Embodiment 1.
FIG. 1 is a configuration diagram showing an observation device 1 including a wind detection device 14 according to Embodiment 1. As shown in FIG.
The observation device 1 shown in FIG. 1 includes an electromagnetic wave transmission/reception section 11 and a wind detection device 14 .
As shown in FIG. 2A, the observation device 1 is installed on a building or the like that is located substantially on the same plane as the runway 3 of the aircraft 2 and in a direction substantially orthogonal to the traveling direction of the aircraft 2 on the runway 3. .
The observation device 1 radiates electromagnetic waves toward an observation area 4 including the flight path of the aircraft 2, receives the electromagnetic waves reflected by the atmosphere in the observation area 4, and transmits the electromagnetic waves to the aircraft 2 based on the received signals of the electromagnetic waves. Detects rolling winds that can cause rolling.
The observation area 4 is the area vertically above the runway 3 and includes the flight path of the aircraft 2 .

FIG. 2A is an explanatory diagram showing the positional relationship among the observation device 1, the aircraft 2, the runway 3, and the observation area 4. FIG.
2B is a plan view of the observation device 1, the runway 3, and the observation area 4 from above the runway 3. FIG.
In the coordinate axes shown in FIGS. 2A and 2B, the x-axis is parallel to the width direction of the runway 3 and the y-axis is parallel to the longitudinal direction of the runway 3 . The z-axis is parallel to the vertical direction of the runway 3 with respect to the road surface.
The observation device 1 shown in FIG. 1 is installed in a building or the like that is located in a direction substantially orthogonal to the traveling direction of the aircraft on the runway 3 . However, this is only an example, and the observation device 1 may, for example, be embedded in the runway 3 and emit electromagnetic waves from directly below the flight path of the aircraft 2 toward the observation area 4 .

The electromagnetic wave transmission/reception unit 11 includes an electromagnetic wave radiation unit 12 and a transmission/reception processing unit 13 .
The electromagnetic wave transmitting/receiving unit 11 radiates electromagnetic waves toward the observation area 4 including the flight path of the aircraft 2, receives the electromagnetic waves reflected by the atmosphere in the observation area 4, and sends the electromagnetic wave reception signals to the wind detection device 14. Output.

The electromagnetic wave emitting section 12 is implemented by, for example, a telescope and a reflector.
The electromagnetic wave emitting unit 12 converts the pulse signal, which is an electrical signal output from the transmission/reception processing unit 13 , into an optical signal, and radiates the optical signal toward the observation area 4 as transmission light.
In the observation device 1 shown in FIG. 1, the electromagnetic wave emitting unit 12 emits pulsed transmission light as electromagnetic waves. However, this is only an example, and the electromagnetic wave radiating section 12 may radiate pulsed radio waves or pulsed sound waves as electromagnetic waves.
The electromagnetic wave emitting unit 12 receives the transmission light reflected by the atmosphere within the observation area 4 as reflected light.
The electromagnetic wave emitting unit 12 converts the received reflected light into an electric signal and outputs the electric signal to the transmission/reception processing unit 13 as a received signal.
The telescope acts to focus the transmitted light as it radiates into the observation area 4 .
The reflector is for switching the radiation direction of the transmitted light when the transmitted light is radiated to the observation area 4 .

The transmission/reception processing unit 13 repeatedly generates a pulse signal, which is an electrical signal, at a pulse repetition interval (PRI), and outputs each pulse signal to the electromagnetic wave emission unit 12 . The PRI may be stored, for example, in the internal memory of the transmission/reception processing unit 13, or may be given from the outside of the wind detection device 14. FIG.
The transmission/reception processing unit 13 performs received signal processing on the received signal output from the electromagnetic wave emitting unit 12 and outputs the received signal after the received signal processing to the wind detection device 14 .
The received signal processing may include processing for amplifying the received signal, processing for converting the frequency of the received signal, and the like.

FIG. 3 is a configuration diagram showing the wind detection device 14 according to Embodiment 1. As shown in FIG.
FIG. 4 is a hardware configuration diagram showing hardware of the wind detection device 14 according to the first embodiment.
The wind detection device 14 shown in FIG.

The velocity vector calculator 21 is implemented by, for example, a velocity vector calculator 31 shown in FIG.
The velocity vector calculator 21 acquires the received signal output from the electromagnetic wave transmitter/receiver 11 .
The velocity vector calculator 21 obtains the spectrum of the received signal by transforming the received signal into a signal in the frequency domain.
The velocity vector calculation unit 21 calculates, from the spectrum of the received signal, vectors indicating the wind direction and wind velocity as the velocity vectors in the cells, which are a plurality of areas included in the observation area 4 .
The velocity vector calculator 21 outputs the velocity vectors of the plurality of cells to the rolling wind detector 22 .

The swaying wind detection unit 22 is implemented by, for example, a swaying wind detection circuit 32 shown in FIG.
The swaying wind detection unit 22 acquires respective velocity vectors in the plurality of cells from the velocity vector calculation unit 21 .
The rolling wind detection unit 22 selects a plurality of combinations of two cells whose mutual distance is the length of the full width of the aircraft 2 from among the plurality of cells.
The rolling wind detection unit 22 detects rolling wind that may cause the aircraft 2 to roll, based on the velocity vectors of the two cells included in each combination.
The swaying wind detection unit 22 determines whether or not a swaying wind is occurring based on the velocity vectors of the two cells included in each combination, and determines that the swaying wind is occurring. Then, from the velocity vectors of the two cells, the rolling strength, which is the force that the rolling wind exerts on the aircraft 2, is estimated.
The rolling wind detection section 22 outputs the estimated rolling strength to the moment calculation section 23 .

The moment calculator 23 is implemented by, for example, a moment calculator 33 shown in FIG.
The moment calculator 23 calculates a rolling moment that indicates the resistance of the aircraft 2 to the rolling wind from the rolling intensity estimated by the rolling wind detector 22 and the airspeed of the aircraft 2 .
The airspeed of the aircraft 2 may be stored in the internal memory of the moment calculator 23 or may be given from outside the wind detection device 14 .
The moment calculation unit 23 outputs the anti-rolling moment to the influence determination unit 24 .

The influence determination unit 24 is realized by, for example, an influence determination circuit 34 shown in FIG.
The influence determination unit 24 determines whether or not the rolling wind affects the flight of the aircraft 2 based on the anti-rolling moment calculated by the moment calculation unit 23 .

In FIG. 3, each of the velocity vector calculator 21, the rolling wind detector 22, the moment calculator 23, and the effect determiner 24, which are components of the wind detection device 14, is implemented by dedicated hardware as shown in FIG. Assuming it will be implemented. That is, it is assumed that the wind detection device 14 is implemented by a velocity vector calculation circuit 31, a rolling wind detection circuit 32, a moment calculation circuit 33, and an effect determination circuit .
Each of the velocity vector calculation circuit 31, the rolling wind detection circuit 32, the moment calculation circuit 33, and the effect determination circuit 34 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or a combination thereof.

The components of the wind detection device 14 are not limited to those realized by dedicated hardware, and the wind detection device 14 may be realized by software, firmware, or a combination of software and firmware. good too.
Software or firmware is stored as a program in a computer's memory. A computer means hardware that executes a program, for example, a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, a processor, or a DSP (Digital Signal Processor). do.

FIG. 5 is a hardware configuration diagram of a computer when the wind detection device 14 is realized by software, firmware, or the like.
When the wind detection device 14 is realized by software, firmware, or the like, there is a method for causing a computer to execute respective processing procedures in the velocity vector calculation unit 21, the rolling wind detection unit 22, the moment calculation unit 23, and the effect determination unit 24. A program is stored in the memory 41 . Then, the processor 42 of the computer executes the program stored in the memory 41 .

4 shows an example in which each component of the wind detection device 14 is implemented by dedicated hardware, and FIG. 5 shows an example in which the wind detection device 14 is implemented by software, firmware, or the like. . However, this is only an example, and some components of the wind detection device 14 may be implemented by dedicated hardware, and the remaining components may be implemented by software, firmware, or the like.

Next, the operation of the observation device 1 shown in FIG. 1 will be described.
The transmission/reception processing unit 13 repeatedly generates a pulse signal, which is an electrical signal, at a pulse repetition period, and outputs each pulse signal to the electromagnetic wave radiation unit 12 .

The electromagnetic wave emitting unit 12 converts the pulse signal into an optical signal every time it receives a pulse signal from the transmission/reception processing unit 13 and radiates the optical signal to the observation area 4 as transmission light.
The transmission light repeatedly radiated from the electromagnetic wave radiating section 12 forms one beam or multiple beams. A single beam or multiple beams cover the observation area 4 shown in FIG. 2B. For example, the beam forming area coincides with the observation area 4 shown in FIG. 2B.
As the radiation direction of the transmission light emitted from the electromagnetic wave emitting section 12, the elevation angle direction can be switched within the range of θ ₁ to θ _N . FIG. 2B shows the situation when the elevation direction is _θn . n=1, . . . , N, where N is an integer of 2 or more.
For example, the electromagnetic wave emitting unit 12 first forms a beam in the elevation direction θ ₁ , then forms a beam in the elevation direction θ ₂ , and then forms a beam in the elevation direction θ ₃ . Then, the elevation angle direction _θn is switched in order, and finally the beam is formed in the elevation angle direction _θN .
A beam covering the observation area 4 shown in FIG. 2A is formed by forming beams in the elevation angle directions θ ₁ to θ _N by the electromagnetic wave emitting unit 12 .
In the example of FIG. 2A, approximately θ ₁ =−5° and θ _N =30°. Δθ, which is the interval between the elevation angle direction θ _n−1 and the elevation angle direction θ _n , is arbitrary, and for example, Δθ=2 or Δθ=3 is conceivable.

The transmitted light emitted from the electromagnetic wave emitter 12 is reflected by the atmosphere within the observation area 4 . When the transmitted light reflected by the atmosphere in the observation area 4 returns to the observation device 1 as reflected light, the electromagnetic wave emitter 12 receives the reflected light.
Reflected light undergoes a Doppler effect depending on the wind speed at the reflected position, so the frequency of the reflected light is shifted by the Doppler effect. That is, the frequency of the reflected light differs from the frequency of the transmitted light by the amount of shift caused by the Doppler effect.
The electromagnetic wave emitting unit 12 converts the received reflected light into an electric signal and outputs the electric signal to the transmission/reception processing unit 13 as a received signal.
The transmission/reception processing unit 13 performs received signal processing on the received signal output from the electromagnetic wave emitting unit 12 and outputs the received signal after the received signal processing to the velocity vector calculation unit 21 of the wind detection device 14 .

FIG. 6 is a flow chart showing a wind detection method, which is a processing procedure of the wind detection device 14 according to the first embodiment.
The velocity vector calculator 21 acquires the received signal output from the electromagnetic wave transmitter/receiver 11 .
The velocity vector calculator 21 obtains the spectrum of the received signal by transforming the received signal into a signal in the frequency domain. For example, the frequency domain signal can be obtained by performing Fourier transform processing on the received signal.
The velocity vector calculator 21 calculates respective velocity vectors in a plurality of cells in the observation area 4 from the spectrum of the received signal, as shown in FIG. 7 (step ST1 in FIG. 6). A velocity vector is a vector that indicates the wind direction and wind speed within a cell. The processing itself for calculating the velocity vector of each cell from the spectrum of the received signal is a known technique, and detailed description thereof will be omitted.
FIG. 7 is an explanatory diagram showing a plurality of cells included in the observation area 4. As shown in FIG.
In the example of FIG. 7, the observation area 4 is divided into 9 in the elevation direction _θn and 15 in the range direction, and the observation area 4 includes 9×15 cells.
The velocity vector calculator 21 outputs the velocity vectors of the plurality of cells to the rolling wind detector 22 .

The swaying wind detection unit 22 acquires respective velocity vectors in the plurality of cells from the velocity vector calculation unit 21 .
The rolling wind detection unit 22 selects a plurality of combinations of two cells whose mutual distance is the length of the full width of the aircraft 2 from among the plurality of cells.
As a combination of two cells whose distance from each other is the length of the overall width of the aircraft 2, the shortest distance between the two cells may be the length of the overall width of the aircraft 2. The longest distance between cells may be the width of the aircraft 2 .
Also, for a combination of two cells whose distance from each other is the length of the full width of the aircraft 2, any distance between the shortest distance and the longest distance should be the length of the full width of the aircraft 2. may
The rolling wind detection unit 22 determines whether or not a rolling wind that may roll the aircraft 2 is occurring based on the velocity vectors of the two cells included in each combination. (Step ST2 in FIG. 6).
If the swaying wind detection section 22 determines that the swaying wind is occurring, it detects the occurrence of the swaying wind.
In the rolling wind detection unit 22, if the specifications of the aircraft 2 entering the observation area 4 are the existing values, the overall width of the aircraft 2 actually entering the observation area 4 is used as the overall width. If the specifications of the aircraft 2 are not already set, for example, the overall width of a medium-sized aircraft or the overall width of an aircraft that uses the runway 3 most frequently is used as the overall width.
The determination processing by the rolling wind detection unit 22 will be specifically described below.

FIG. 8 is an explanatory diagram showing an example of rolling wind that may cause the aircraft 2 to roll.
FIG. 8A shows an example of a rolling wind in which the wind direction near the tips of both wings of an aircraft 2 is vertically upward, and the wind speed near the tip of one wing is different from the wind speed near the tip of the other wing. there is A vertically downward wind in the vicinity of both wing tips of the aircraft 2 is also a rolling wind.
The term "vertically upward wind direction" as used herein indicates a wind direction having a vertically upward component, and is not strictly limited to a vertically upward wind direction.
Moreover, a vertically downward wind direction indicates a wind direction having a vertically downward component, and strictly speaking, the wind direction is not limited to a vertically downward direction.
FIG. 8B shows, as an example of the rolling wind, the wind direction near the tip of one wing of the aircraft 2 is vertically downward, and the wind direction near the tip of the other wing is vertically upward.

FIG. 8C shows an example of a rolling wind in which both the wind direction vertically above the aircraft 2 and the wind direction vertically below the aircraft 2 are in the same horizontal direction, and the wind speeds vertically above and below are different. is shown. The horizontal direction is the direction parallel to the road surface of the runway 3 and the direction perpendicular to the traveling direction of the aircraft 2 .
The horizontal wind direction here indicates a wind direction having a horizontal component, and is not strictly limited to a horizontal wind direction. Therefore, if both the wind direction vertically upward and the wind direction vertically downward of the aircraft 2 have a leftward component in the figure, they are in the same horizontal direction. Also, if both the wind direction vertically upward and the wind direction vertically downward of the aircraft 2 have a rightward component in the figure, they are in the same horizontal direction.
FIG. 8D shows, as an example of the rolling wind, a horizontal wind in which the direction of the wind vertically above the aircraft 2 and the direction of the wind vertically below the aircraft 2 are different from each other.

The rolling wind detection unit 22 selects a plurality of combinations of two cells whose mutual distance is the length of the full width of the aircraft 2 from among the plurality of cells.
Among the plurality of combinations selected by the swaying wind detection unit 22 are a combination _CA of two cells having substantially the same altitude and a combination _CR of two cells having substantially the same distance in the range direction. It is included.
FIG. 7 illustrates two combinations C _A1 and C _A2 as a combination C _A of two cells having approximately the same altitude. In practice there are more than two combinations _CA.
Also, FIG. 7 illustrates two combinations C _R1 and C _R2 as a combination C _R of two cells having substantially equal distances in the range direction. In practice there are more than two combination _CRs .
In the observation device 1 shown in FIG. 1, if the difference in altitude between the two cells is, for example, several percent or less of the altitude of one cell, the altitudes of the two cells are approximately the same. In the observation device 1 shown in FIG. 1, if the difference in range direction distance between the two cells is, for example, several percent or less of the distance of one cell, the range direction distances of the two cells are substantially equal. be.

The rolling wind detection unit 22 determines whether each selected combination is a combination _CA of cells having substantially the same altitude or a combination _CR of two cells having substantially the same distance in the range direction. Determine whether the combination is any other combination.
The several percent value of the altitude and the several percent value of the distance may be stored in the internal memory of the rolling wind detection section 22 or may be given from outside the wind detection device 14 .

If each of the selected combinations is a combination _CA of cells having approximately the same altitude, the rolling wind detection unit 22 determines whether the wind directions indicated by the velocity vectors of the two cells are both vertical. to confirm. The vertical direction includes a vertically upward direction and a vertically downward direction.
As shown in FIG. 8B, the rolling wind detection unit 22 detects that the wind direction indicated by the velocity vector of one cell is vertically downward and the wind direction indicated by the velocity vector of the other cell is vertically upward. Since combination CA _relates to rolling wind, it is determined that rolling wind is occurring.

If both of the wind directions indicated by the velocity vectors of the two cells are vertically upward or vertically downward, the rolling wind detection unit 22 detects the wind velocity indicated by the velocity vector of one cell and the wind velocity of the other cell. Check whether the wind speed indicated by the velocity vector of is different.
As shown in FIG. _8A , if the wind speed v1 indicated by the velocity vector of one cell is different from the wind speed v2 indicated by the velocity vector of the other cell, the rolling wind detection unit 22 detects that the combination CA Since it is related to the swaying wind, it is determined that the swaying wind is occurring.
If the wind velocity v1 indicated by the velocity vector of one cell and the wind velocity v2 indicated by the velocity vector of the other cell are the same, the swaying wind detection unit 22 determines that no swaying wind is occurring.
Note that if the difference Δv between the wind speed v1 and the wind speed v2 is greater _than the threshold value Th1, the rolling wind detection unit 22 determines that the wind speed _v1 and the wind speed v2 are different, and the difference Δv is within the threshold value Th1. If so, it is determined that the wind speed v1 and the wind speed v2 are the same.
The threshold Th ₁ may be stored in the internal memory of the rolling wind detection section 22 or may be given from the outside of the wind detection device 14 .

If each of the selected combinations is a combination _CR of cells whose distances in the range direction are substantially the same, the wind direction indicated by the velocity vectors of the two cells is both in the horizontal direction. Check whether or not The horizontal direction includes a leftward direction and a rightward direction in FIG.
As shown in FIG. 8D, the rolling wind detection unit 22 detects that the wind direction indicated by the velocity vector of one cell is to the right in the figure, and the wind direction indicated by the velocity vector of the other cell is to the left in the figure. If so, it is determined that the rolling wind is occurring because the combination _CR is related to the rolling wind.

If both of the wind directions indicated by the velocity vectors of the two cells are to the right in the figure or to the left in the figure, the rolling wind detection unit 22 detects the wind velocity indicated by the velocity vector of one of the cells. , is different from the wind velocity indicated by the velocity vector of the other cell.
As shown in FIG. 8C, the swaying wind detection unit 22 detects that the combination C _R Since it is related to the swaying wind, it is determined that the swaying wind is occurring.
If the wind velocity v1 indicated by the velocity vector of one cell and the wind velocity v2 indicated by the velocity vector of the other cell are the same, the swaying wind detection unit 22 determines that no swaying wind is occurring.
Note that if the difference Δv between the wind speed v1 and the wind speed v2 is greater _than the threshold Th2, the rolling wind detection unit 22 determines that the wind speed v1 and the wind speed v2 _are different, and the difference Δv is within the threshold Th2. If so, it is determined that the wind speed v1 and the wind speed v2 are the same.
_The threshold value Th2 may be stored in the internal memory of the rolling wind detection unit 22 or may be given from the outside of the wind detection device 14 .

If the swaying wind detection unit 22 determines that a swaying wind is occurring (step ST3 in FIG. 6: YES), the velocities of the two cells included in the combination related to the swaying wind From the vector, the rolling strength, which is the force that the rolling wind exerts on the aircraft 2, is estimated (step ST4 in FIG. 6).
That is, as shown in the following equation (1), the rolling wind detection unit 22 estimates the rolling strength _Γ Then, the rolling strength Γ is estimated from the respective velocity vectors in the two cells included in the combination _CR related to the rolling wind.

In equation (1), π is the circumference of the circle, and b is the overall width of the aircraft 2 .
v1 is the wind speed indicated by the velocity vector of one of the two cells, and v2 is the wind speed indicated by the velocity vector of the other of the two cells.
If the two cells are two cells included in the combination _CA , each of v1 and v2 is a velocity component in the vertical direction, and the two cells are included in the combination _CR . With two cells, each of v1 and v2 is a horizontal velocity component.
If the directions of two cells are the same, the code of v1 and the code of v2 are the same type of code. If the directions of two cells are different, the code of v1 and the code of v2 are different codes.
Assuming that the rolling wind is a wind forming a substantially circular vortex as indicated by the dashed line in FIG. 8, v1 and v2 respectively correspond to the tangential velocities of the vortex. The rolling strength Γ shown in Equation (1) is expressed as the strength of the vortex. Vortex intensity is also used as an indicator of the intensity of wake turbulence.

The swaying wind detection unit 22 outputs the swaying strength Γ associated with each swaying wind to the moment calculation unit 23 .
In addition, the swaying wind detection unit 22 transmits a determination result indicating whether or not a swaying wind is occurring to, for example, the aircraft 2 or the control tower of the airport.
If the swaying wind detection unit 22 determines that no swaying wind is generated (step ST3 in FIG. 6: NO), the wind detection device 14 ends the series of processes.

式（２）において、Ｕは、航空機２の対気速度である。
モーメント算出部２３は、それぞれの横揺れ風についての対横揺れモーメントＡＲＭを影響判定部２４に出力する。The moment calculation unit 23 acquires the rolling strength Γ associated with each rolling wind from the rolling wind detection unit 22 .
The moment calculator 23 calculates the resistance of the aircraft 2 to each rolling wind from the rolling strength Γ associated with each rolling wind and the airspeed of the aircraft 2 as shown in the following equation (2): The shown anti-rolling moment ARM is calculated (step ST5 in FIG. 6).

In equation (2), U is the airspeed of aircraft 2 .
The moment calculation unit 23 outputs the anti-rolling moment ARM for each rolling wind to the influence determination unit 24 .

The influence determination unit 24 acquires the anti-rolling moment ARM for each rolling wind from the moment calculation unit 23 .
The effect determination unit 24 determines whether or not each rolling wind affects the flight of the aircraft 2 based on the anti-rolling moment ARM for each rolling wind (step ST6).
That is, the influence determination unit 24 compares the anti _- rolling moment ARM for each rolling wind with the threshold value Th3.
If the anti-rolling moment ARM of the rolling wind is greater than the threshold value Th3 _, the effect determination unit 24 determines that the rolling wind is wind that affects the flight of the aircraft 2 .
If the anti-rolling moment ARM of the rolling wind is within the threshold value Th3 _, the effect determination unit 24 determines that the rolling wind does not affect the flight of the aircraft 2 .
The threshold value _Th3 may be stored in the internal memory of the influence determination unit 24 or may be given from the outside of the wind detection device 14 .
The influence determination unit 24 transmits a determination result indicating whether or not the rolling wind affects the flight of the aircraft 2 to, for example, the aircraft 2 or the control tower of the airport.

In the first embodiment described above, the received signal of the electromagnetic wave reflected by the atmosphere in the observation area including the flight path of the aircraft 2 is obtained, and the spectrum of the received signal is used to determine the plurality of areas included in the observation area. A velocity vector calculation unit 21 for calculating a vector indicating a wind direction and a wind speed as each velocity vector in a cell, and a plurality of cells whose velocity vectors have been calculated by the velocity vector calculation unit 21. Select multiple combinations of two cells that are span lengths of 2, and based on the velocity vectors of the two cells contained in each combination, roll winds that can cause aircraft 2 to roll. The wind detection device 14 is configured to include a rolling wind detection unit 22 that detects the . Thus, the wind detection device 14 can detect rolling winds that can cause the aircraft to roll.

Embodiment 2.
In the second embodiment, a map is generated to generate a rolling moment map in which the rolling moment is indicated at the position of the cell related to the rolling moment calculated by the moment calculation unit 23 among the plurality of cells. The wind detection device 14 having the portion 25 will be described.

FIG. 9 is a configuration diagram showing the wind detection device 14 according to the second embodiment. In FIG. 9, the same reference numerals as those in FIG. 3 denote the same or corresponding parts, so description thereof will be omitted.
FIG. 10 is a hardware configuration diagram showing hardware of the wind detection device 14 according to the second embodiment. In FIG. 10, the same reference numerals as those in FIG. 4 denote the same or corresponding parts, so description thereof will be omitted.
A wind detection device 14 shown in FIG.

The map generation unit 25 is implemented by, for example, a map generation circuit 35 shown in FIG.
The map generation unit 25 generates a rolling moment map in which the rolling moment calculated by the moment calculation unit 23 is indicated at the position of the cell related to the rolling moment calculated by the moment calculation unit 23 among the plurality of cells.

In FIG. 9, each of the velocity vector calculator 21, the rolling wind detector 22, the moment calculator 23, the influence determiner 24, and the map generator 25, which are components of the wind detector 14, is configured as shown in FIG. It is assumed to be realized by dedicated hardware. That is, it is assumed that the wind detection device 14 is implemented by a velocity vector calculation circuit 31, a rolling wind detection circuit 32, a moment calculation circuit 33, an effect determination circuit 34, and a map generation circuit 35. FIG.
Each of the velocity vector calculation circuit 31, the rolling wind detection circuit 32, the moment calculation circuit 33, the effect determination circuit 34, and the map generation circuit 35 may be, for example, a single circuit, a composite circuit, a programmed processor, or a parallel programmed processor. , ASIC, FPGA, or a combination thereof.

The components of the wind detection device 14 are not limited to those realized by dedicated hardware, and the wind detection device 14 may be realized by software, firmware, or a combination of software and firmware. good too.
When the wind detection device 14 is implemented by software, firmware, or the like, the processing procedures of the velocity vector calculation unit 21, the rolling wind detection unit 22, the moment calculation unit 23, the influence determination unit 24, and the map generation unit 25 are executed by a computer. A program to be executed is stored in the memory 41 shown in FIG. Then, the processor 42 shown in FIG. 5 executes the program stored in the memory 41 .

10 shows an example in which each component of the wind detection device 14 is realized by dedicated hardware, and FIG. 5 shows an example in which the wind detection device 14 is realized by software, firmware, or the like. . However, this is only an example, and some components of the wind detection device 14 may be implemented by dedicated hardware, and the remaining components may be implemented by software, firmware, or the like.

Next, the operation of the wind detection device 14 shown in FIG. 9 will be described. Since the components other than the map generation unit 25 are the same as the wind detection device 14 shown in FIG. 3, the operation of the map generation unit 25 will be mainly described here.
The moment calculation unit 23 outputs the anti-rolling moment ARM for each rolling wind to the influence determination unit 24 and the map generation unit 25, respectively.

The map generating unit 25 acquires the anti-rolling moment ARM for each rolling wind from the moment calculating unit 23 .
The map generation unit 25 generates a rolling moment map in which the rolling moment calculated by the moment calculation unit 23 is indicated at the position of the cell related to the rolling moment calculated by the moment calculation unit 23 among the plurality of cells.
FIG. 11 is an explanatory diagram showing an example of the anti-rolling moment map generated by the map generator 25. As shown in FIG.
FIG. 11 shows an example in which combinations relating to rolling winds are combinations C _A1 , C _R1 , and C _R2 .
The anti-roll moment ARM for combination C _A1 is ARM _A1 , the anti-roll moment ARM for combination C _R1 is ARM _R1 , and the anti-roll moment ARM for combination C _R2 is ARM _R2 . .
The map generator 25 transmits the anti-rolling moment map to, for example, the aircraft 2 or an airport control tower.

In the above-described second embodiment, the anti-rolling moment map is generated in which the anti-rolling moment is indicated at the position of the cell related to the anti-rolling moment calculated by the moment calculation unit 23 among the plurality of cells. The wind detection device 14 shown in FIG. 9 is configured so as to include the map generation unit 25 that performs the calculation. Therefore, like the wind detection device 14 shown in FIG. 3, the wind detection device 14 shown in FIG. It is possible to specify the position and the anti-rolling moment of the cell that is affected.

In the wind detection device 14 shown in FIG. 9, the map generator 25 transmits the anti-rolling moment map to the control tower or the like. In addition to the map generation unit 25 transmitting the anti-rolling moment map to the control tower or the like, for example, the moment calculation unit 23 may transmit the following influence information to the control tower or the like.
Each of the rolling strength Γ and anti-rolling moment ARM is an index for determining the flight of the aircraft 2, similar to wake turbulence. Therefore, the moment calculator 23 may transmit the rolling strength Γ and anti-rolling moment ARM to the control tower or the like as the influence information.

It should be noted that the present disclosure allows free combination of each embodiment, modification of arbitrary constituent elements of each embodiment, or omission of arbitrary constituent elements in each embodiment.

The present disclosure is suitable for wind detection devices, wind detection methods and observation devices.

1 observation device 2 aircraft 3 runway 4 observation area 11 electromagnetic wave transmitter/receiver 12 electromagnetic wave emitter 13 transmitter/receiver processor 14 wind detector 21 velocity vector calculator 22 rolling wind detector 23 moment Calculation unit 24 Effect determination unit 25 Map generation unit 31 Velocity vector calculation circuit 32 Rolling wind detection circuit 33 Moment calculation circuit 34 Effect determination circuit 35 Map generation circuit 41 Memory 42 Processor.

Claims (7)

Acquire the received signal of the electromagnetic wave reflected by the atmosphere in the observation area including the flight path of the aircraft, and from the spectrum of the received signal, as each velocity vector in the cell, which is a plurality of areas included in the observation area , a velocity vector calculation unit that calculates a vector indicating wind direction and wind speed;
A plurality of combinations of two cells whose distance from each other is the length of the overall width of the aircraft are selected from among the plurality of cells whose velocity vectors have been calculated by the velocity vector calculation unit, and a roll wind detector for detecting a roll wind that may cause the aircraft to roll, based on velocity vectors of two cells in the air. The swaying wind detection unit determines whether or not the swaying wind is occurring based on the velocity vectors of the two cells included in each combination, and determines whether the swaying wind is occurring. 2. The wind detection device according to claim 1, wherein, if it is determined that said two cells have velocity vectors, a rolling strength, which is a force exerted on said aircraft by said rolling wind, is estimated. a moment calculation unit that calculates a rolling moment that indicates the resistance of the aircraft to the rolling wind from the rolling strength estimated by the rolling wind detection unit and the airspeed of the aircraft; 3. The wind detection device according to claim 2. An effect determination unit that determines whether or not the rolling wind affects the flight of the aircraft based on the anti-rolling moment calculated by the moment calculation unit. Item 4. The wind detection device according to item 3. a map generating unit for generating a rolling moment map in which the rolling moment calculated by the moment calculating unit is indicated at the position of the cell related to the rolling moment calculated by the moment calculation unit among the plurality of cells; 4. The wind detection device according to claim 3, characterized in that: A velocity vector calculation unit obtains a received signal of electromagnetic waves reflected by the atmosphere within an observation area including the flight path of the aircraft, and from the spectrum of the received signal, cells that are a plurality of areas included in the observation area. Calculate a vector indicating the wind direction and wind speed as each velocity vector in
A swaying wind detection unit selects, from among a plurality of cells whose velocity vectors have been calculated by the velocity vector calculation unit, a plurality of combinations of two cells whose distance from each other is the length of the overall width of the aircraft; A wind detection method for detecting rolling winds that may cause the aircraft to roll based on the velocity vectors of the two cells included in each combination. a wind detection device according to any one of claims 1 to 5;
After radiating electromagnetic waves toward an observation area including the flight path of the aircraft, the electromagnetic waves reflected by the atmosphere in the observation area are received, and the received signal of the electromagnetic waves is converted into the velocity vector calculation unit of the wind detection device. An observation device comprising an electromagnetic wave transmitter/receiver that outputs to and .

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