Doppler laser radar airport low-altitude wind shear monitoring and early warning system

Abstract

The invention relates to the technical field of wind measurement laser radars and airport meteorological support, and particularly discloses a Doppler laser radar airport low-altitude wind shear monitoring and early warning system, which comprises a wind speed model building module, a wind speed model establishing module, a wind speed model establishing module, a wind speed model establishing module and a wind speed model establishing module, constructing a wind speed model in the detection space coordinate model; the route data acquisition module is used for fitting an aircraft flight route into the detection space coordinate model; the route data processing module is based on the wind shear strength expression value at each intersection point coordinate in the flight route of the aircraft; calculating to obtain a wind speed and wind shear influence value of the aircraft flight route; and the early warning judgment module is used for comparing the wind speed and wind shear influence value with the wind speed and wind shear early warning value, generating an early warning signal, judging whether the wind speed and wind shear change affects the flight of the airplane or not at the moment, and carrying out early warning reminding on workers and flight so as to better ensure the flight safety of the airplane.

Description

Technical Field

[0001] The invention relates to the technical field of wind laser radar and airport meteorological support, and in particular to a Doppler laser radar airport low-altitude wind shear monitoring and early warning system. Background Art

[0002] With the continuous growth of the total volume of air transport, the flight density of aircraft has also expanded rapidly. Encountering low-altitude wind shear will cause the aircraft speed to change instantly, which in turn will cause the aircraft lift to change, causing the flight path to deviate from the course. Therefore, accurate detection and timely warning of dangerous weather are very important.

[0003] There are many methods for detecting atmospheric wind fields at airports, but each has its own advantages and disadvantages and different application scenarios. For example, ultrasonic anemometers can only achieve single-point measurements, and wind profilers cannot monitor the entire horizontal wind field. Doppler laser wind radar has high temporal and spatial resolution and flexible scanning methods, and has gradually been used for airport atmospheric wind field detection in recent years. At present, the accuracy of the dangerous weather warning algorithm based on wind laser radar is poor. During the measurement process, the accuracy and coverage of the wind speed at each position in space are low. In addition, when facing different take-off aircraft flight routes, the calculation results are not accurate enough, and the warning response to the flight still needs to be improved. Summary of the invention

[0004] The object of the present invention is to provide a Doppler laser radar airport low-altitude wind shear monitoring and early warning system to solve the above-mentioned background problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A Doppler laser radar airport low-altitude wind shear monitoring and early warning system, comprising: Wind speed model construction module: Based on the monitored spatial area of ​​the airport, with the center point of the airport as the coordinate origin, a monitoring space coordinate model is constructed, where the east direction is the x-axis, the north direction is the y-axis, and the vertical direction is the z-axis; at the same time, the spatial point coordinates (x, y, z) are determined with the unit length e as the coordinate point interval length; the spatial wind speed data is obtained based on Doppler laser radar measurement and calculation, and the wind speed model is constructed in the detection space coordinate model; Route data acquisition module: obtain the flight route of the aircraft, simulate the flight route of the aircraft into the detection space coordinate model, divide the flight route of the aircraft into height planes with unit height difference h, and mark each height plane from the ground upward as i, where i is 1, 2, 3...; obtain the wind speed data of the intersection point of the intersection point i (x, y, z) of the flight route of the aircraft and the height plane, and calculate the wind shear intensity performance value FB at each intersection point coordinate i (x, y, z) i（x，y，z） ; Route data processing module: based on the wind shear intensity performance value FB at each intersection coordinate i (x, y, z) in the aircraft flight route i（x，y，z） ; Calculate the wind speed and wind shear impact value GVY of the aircraft flight route; Early warning judgment module: obtains the wind speed and wind shear impact value, and compares the wind speed and wind shear impact value GVY with the wind speed and wind shear warning value VYJ; and generates an early warning signal.

[0006] As a further solution of the present invention: the construction process of the wind speed model is: S1: The Doppler laser radar emits a laser beam in real time to monitor each spatial coordinate point, and based on the monitoring signal data, the radial wind speed value at each spatial coordinate point in the monitoring space is calculated; S2: Based on the radial wind speed value, obtain the angle data value of the Doppler laser radar, including the azimuth angle ω between the Doppler laser radar laser beam and the horizontal plane （x，y，z） and the elevation angle φ of the Doppler laser radar in the vertical direction （x，y，z） ; Then, the radial wind speed value at the spatial coordinate point (x, y, z) is calculated to obtain the wind speed component data; S3: Based on the wind speed component data, calculate the spatial wind speed data at the spatial coordinate point (x, y, z), including the spatial wind speed value VS （x，y，z） , horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） ; S4: Based on horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the spatial wind direction at the spatial point coordinates (x, y, z), and based on the spatial wind speed value VS （x，y，z） , a wind speed model is constructed within the detection space coordinate model.

[0007] As a further solution of the present invention: the signal data includes a wave source emission frequency value Pz and a reflected light wave frequency value Pr; The radial wind speed value V at the spatial point coordinates (x, y, z) within the monitoring space area （x，y，z） The calculation method is: Obtain the signal data of the spatial coordinate points in the monitoring space area, including the emission frequency value Pz of the spatial coordinate wave source （x，y，z） and spatial coordinates of reflected light wave frequency value Pr （x，y，z） ; pass Calculate the radial wind speed value V at the spatial coordinate point (x, y, z) in the monitoring space area （x，y，z） ; Where Vg is the speed of light.

[0008] As a further solution of the present invention: the wind speed projection component data includes the north-south component wind speed Vx at the spatial coordinate point (x, y, z) （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and vertical component wind speed Vz （x，y，z） ; Among them, the north-south component wind speed Vx （x，y，z） The calculation method is: ; East-west component wind speed Vy （x，y，z） The calculation method is: ; Vertical component wind speed Vz （x，y，z） The calculation method is: .

[0009] As a further solution of the present invention: the spatial wind speed value VS （x，y，z） The calculation method is ; Horizontal wind direction angle β （x，y，z） The calculation method is ; Vertical wind direction angle γ （x，y，z） The calculation method is .

[0010] As a further solution of the present invention: the spatial wind direction is determined as follows: First, based on the north-south component wind speed Vx （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and horizontal wind direction angle β （x，y，z） Determine horizontal wind direction; If Vx （x，y，z） >0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southwest; If Vx （x，y，z） <0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southeast; If Vx （x，y，z） <0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northeast; If Vx （x，y，z） >0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northwest; At this time, the horizontal plane angle is the horizontal wind direction angle β （x，y，z） ; Based on the vertical component wind speed Vz （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the vertical wind direction; If Vz（x，y，z） When >0, the wind is vertically upward; If Vz （x，y，z） When <0, the wind is vertically downward; At this time, the vertical angle is the vertical wind direction angle γ （x，y，z） .

[0011] As a further solution of the present invention: the wind speed data of the intersection of the slices includes the spatial wind speed value JV of the intersection i（x，y，z） And vertical space wind speed value CV i（x，y，z） .

[0012] As a further solution of the present invention: the wind shear intensity performance value FB i（x，y，z） The calculation method is: Get the spatial wind speed value JV at the intersection coordinate i (x, y, z) i（x，y，z） And vertical space wind speed value CV i（x，y，z） ; pass Calculate the vertical wind shear change value FQ of the intersection coordinate i (x, y, z) i（x，y，z） ; Then through Calculate the wind shear intensity performance value FB of the intersection coordinate i (x, y, z) i（x，y，z） , where a is the intersection space wind speed influence coefficient, b is the vertical space wind speed influence coefficient, and a>0, b>0, a+b=1.

[0013] As a further solution of the present invention: the wind speed and wind shear impact value GVY of the aircraft flight path is calculated as follows: W1: The wind shear intensity representation value FB of each intersection coordinate i（x，y，z） Compare with the wind shear intensity performance threshold FBY; If the wind shear intensity performance value FB i（x，y，z） If it is greater than or equal to the wind shear intensity threshold FBY, the intersection coordinates are marked as risk coordinate points; If the wind shear intensity performance value FB i（x，y，z） If it is less than the wind shear intensity threshold FBY, the intersection coordinates are marked as safe coordinate points; W2: Get the wind shear intensity performance value of the risk coordinate point and sum it up to obtain the total abnormal risk intensity value YC; At the same time, the value of the risk coordinate point is obtained and marked as n; pass Calculate and obtain the wind speed and wind shear impact value GVY of the aircraft's flight path.

[0014] As a further solution of the present invention: comparing the wind speed and wind shear impact value GVY with the wind speed and wind shear warning value VYJ; If the wind speed and wind shear impact value GVY is greater than or equal to the wind speed and wind shear warning value VYJ, a warning signal is generated; If the wind speed and wind shear impact value GVY is less than the wind speed and wind shear warning value VYJ, a continuous monitoring signal is generated.

[0015] Beneficial effects of the present invention: In the present invention, by measuring the wind speed at each position in the monitoring space area of ​​the airport, and calculating and constructing a wind speed model based on the calculation results, the wind speed direction and wind speed at each coordinate point in the monitoring space area can be observed intuitively and accurately, which can provide a certain reference for the safety of aircraft flights in the airport for the staff. At the same time, by measuring the wind speed at each position in the monitoring space area, the accuracy of the wind speed model can be effectively guaranteed, and the accuracy of the early warning can be improved; The aircraft's flight path is then integrated with the wind speed model to calculate the wind shear intensity at different altitudes during the take-off and landing of the aircraft. Based on the wind shear intensity at each coordinate point in the flight path, the wind speed and wind shear impact value of the aircraft on the flight path is obtained. This allows for further determination of whether the wind speed and wind shear changes have an impact on the aircraft's flight at this moment, and for early warnings to be issued to staff and flight crews to better ensure the safety of the aircraft's flight. In addition, during the early warning process of the aircraft flight route, multiple runways can be monitored at the same time, which is more accurate in real time and better in terms of comprehensiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 is a system block diagram of the present invention; Figure 2 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1 See also Figure 1 As shown, the present invention is a Doppler laser radar airport low-altitude wind shear monitoring and early warning system, comprising: Wind speed model construction module: Based on the monitored spatial area of ​​the airport, with the center point of the airport as the coordinate origin, a monitoring space coordinate model is constructed, where the east direction is the x-axis, the north direction is the y-axis, and the vertical direction is the z-axis; at the same time, the spatial point coordinates (x, y, z) are determined with the unit length e as the coordinate point interval length; the spatial wind speed data is obtained based on Doppler laser radar measurement and calculation, and the wind speed model is constructed in the detection space coordinate model; Specifically: The construction process of the wind speed model is as follows: S1: The Doppler laser radar emits a laser beam in real time to monitor each spatial coordinate point, and based on the monitoring signal data, the radial wind speed value at each spatial coordinate point in the monitoring space is calculated; The signal data includes the source emission frequency value Pz and the reflected light wave frequency value Pr; Regarding the radial wind speed value V at the spatial point coordinates (x, y, z) within the monitoring space area （x，y，z） The calculation method is: Obtain the signal data of the spatial coordinate points in the monitoring space area, including the emission frequency value Pz of the spatial coordinate wave source （x，y，z） and spatial coordinates of reflected light wave frequency value Pr （x，y，z） ; pass Calculate the radial wind speed value V at the spatial coordinate point (x, y, z) in the monitoring space area （x，y，z） ; Where Vg is the light speed value. It should be noted that the radial wind speed value V （x，y，z） It is the component of the measured wind speed direction along the direction of the laser beam. When the radial wind speed value is greater than zero, it indicates that the wind is moving toward the radar, that is, the reflected light wave frequency value Pr is greater than the wave source emission frequency value Pz. When the radial wind speed value is less than zero, it indicates that the wind is moving away from the radar, that is, the reflected light wave frequency value Pr is less than the wave source emission frequency value Pz. Similarly, when the reflected light wave frequency value Pr is equal to the wave source emission frequency value Pz, the radial wind speed value is zero. At this time, it means that there is no wind at the spatial coordinate point. S2: Based on the radial wind speed value, obtain the angle data value of the Doppler laser radar, including the azimuth angle ω between the Doppler laser radar laser beam and the horizontal plane （x，y，z） and the elevation angle φ of the Doppler laser radar in the vertical direction （x，y，z） ; It needs to be understood that φ （x，y，z） It is the angle between the Doppler laser radar laser beam and the z-axis in the vertical direction. Then, the radial wind speed value at the spatial coordinate point (x, y, z) is calculated to obtain the wind speed component data. The wind speed projection component data includes the north-south component wind speed Vx at the spatial coordinate point (x, y, z). （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and vertical component wind speed Vz （x，y，z）; Specific: North-South component wind speed Vx （x，y，z） The calculation method is: ; East-west component wind speed Vy （x，y，z） The calculation method is: ; Vertical component wind speed Vz （x，y，z） The calculation method is: ; S3: Based on the wind speed component data, calculate the spatial wind speed data at the spatial coordinate point (x, y, z), including the spatial wind speed value VS （x，y，z） , horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） ; Among them, the space wind speed value VS （x，y，z） The calculation method is ; Then through Calculate the horizontal wind direction angle β （x，y，z） ; Vertical wind direction angle γ （x，y，z） The calculation method is ; S4: Based on horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the spatial wind direction at the spatial point coordinates (x, y, z), and based on the spatial wind speed value VS （x，y，z） , construct a wind speed model in the detection space coordinate model; Specifically: The method for determining the spatial wind direction is: First, based on the north-south component wind speed Vx （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and horizontal wind direction angle β （x，y，z） Determine horizontal wind direction; If Vx （x，y，z） >0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southwest; If Vx （x，y，z） <0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southeast; If Vx （x，y，z） <0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northeast; If Vx （x，y，z） >0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northwest; At this time, the horizontal plane angle is the horizontal wind direction angle β （x，y，z） ; Based on the vertical component wind speed Vz （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the vertical wind direction; If Vz （x，y，z） When >0, the wind is vertically upward; If Vz （x，y，z） When <0, the wind is vertically downward; At this time, the vertical angle is the vertical wind direction angle γ （x，y，z） ; Route data acquisition module: obtain the flight route of the aircraft, simulate the flight route of the aircraft into the detection space coordinate model, divide the flight route of the aircraft into height planes with unit height difference h, and mark each height plane from the ground upward as i, where i is 1, 2, 3...; obtain the wind speed data of the intersection point of the intersection point i (x, y, z) of the flight route of the aircraft and the height plane, and calculate the wind shear intensity performance value FB at each intersection point coordinate i (x, y, z) i（x，y，z） ; Among them, the wind speed data of the intersection of the section includes the spatial wind speed value JV i（x，y，z） And vertical space wind speed value CV i（x，y，z） ; Specifically, obtain the spatial wind speed value JV at the intersection coordinate i (x, y, z) i（x，y，z） And vertical space wind speed value CV i（x，y，z） ; pass Calculate the vertical wind shear change value FQ of the intersection coordinate i (x, y, z) i（x，y，z） ; Then through Calculate the wind shear intensity performance value FB of the intersection coordinate i (x, y, z) i（x，y，z） , where a is the intersection space wind speed influence coefficient, b is the vertical space wind speed influence coefficient, and a>0, b>0, a+b=1; Route data processing module: based on the wind shear intensity performance value FB at each intersection coordinate i (x, y, z) in the aircraft flight route i（x，y，z） ; Calculate the wind speed and wind shear impact value GVY of the aircraft flight route; The following steps are involved: W1: The wind shear intensity representation value FB of each intersection coordinate i（x，y，z） Compare with the wind shear intensity performance threshold FBY; If the wind shear intensity performance value FB i（x，y，z） If it is greater than or equal to the wind shear intensity threshold FBY, the intersection coordinates are marked as risk coordinate points; If the wind shear intensity performance value FB i（x，y，z）If it is less than the wind shear intensity threshold FBY, the intersection coordinates are marked as safe coordinate points; W2: Get the wind shear intensity performance value of the risk coordinate point and sum it up to obtain the total abnormal risk intensity value YC; At the same time, the value of the risk coordinate point is obtained and marked as n; pass Calculate and obtain the wind speed and wind shear impact value GVY of the aircraft flight route; Early warning judgment module: obtains the wind speed and wind shear impact value, and compares the wind speed and wind shear impact value GVY with the wind speed and wind shear early warning value VYJ; If the wind speed and wind shear impact value GVY is greater than or equal to the wind speed and wind shear warning value VYJ, a warning signal is generated; a warning reminder is issued to the staff and the aircraft on the flight route; If the wind speed and wind shear impact value GVY is less than the wind speed and wind shear warning value VYJ, a continuous monitoring signal is generated; at this time, monitoring is continued; By measuring the wind speed at each location in the airport's monitoring space area, and calculating and constructing a wind speed model based on the calculation results, the wind speed direction and wind speed at each coordinate point in the monitoring space area can be observed intuitively and accurately, which can provide staff with a certain reference for the safety of aircraft flights in the airport. At the same time, measuring the wind speed at each location in the monitoring space area can effectively ensure the accuracy of the wind speed model and improve the accuracy of early warning; The aircraft's flight path is then integrated with the wind speed model to calculate the wind shear intensity at different altitudes during the take-off and landing of the aircraft. Based on the wind shear intensity at each coordinate point in the flight path, the wind speed and wind shear impact value of the aircraft on the flight path is obtained. This allows for further determination of whether the wind speed and wind shear changes have an impact on the aircraft's flight at this moment, and for early warnings to be issued to staff and flight crews to better ensure the safety of the aircraft's flight. In addition, during the early warning process of the aircraft flight route, multiple runways can be monitored at the same time, which is more accurate in real time and better in terms of comprehensiveness.

[0020] Embodiment 2 Reference Figure 2 As shown, this embodiment provides a method for Doppler laser radar airport low-altitude wind shear monitoring and early warning, including the following steps: Step 1: Based on the monitored spatial area of ​​the airport, take the center point of the airport as the coordinate origin and construct a monitoring spatial coordinate model, where the east direction is the x-axis, the north direction is the y-axis, and the vertical direction is the z-axis; at the same time, use the unit length e as the coordinate point interval length to determine the spatial point coordinates (x, y, z); obtain spatial wind speed data based on Doppler laser radar measurement and calculation, and construct a wind speed model in the detection spatial coordinate model; Step 2: Obtain the flight path of the aircraft, simulate the flight path of the aircraft into the detection space coordinate model, divide the flight path of the aircraft into height planes with unit height difference h, and mark each height plane from the ground upward as i, where i is 1, 2, 3...; obtain the wind speed data of the intersection point of the intersection point i (x, y, z) of the flight path of the aircraft and the height plane, and calculate the wind shear intensity performance value FB at each intersection point coordinate i (x, y, z) i（x，y，z） ; Step 3: Based on the wind shear intensity performance value FB at each intersection coordinate i (x, y, z) in the aircraft's flight path i（x，y，z） ; Calculate the wind speed and wind shear impact value GVY of the aircraft flight route; Step 4: Obtain the wind speed and wind shear impact value, and compare the wind speed and wind shear impact value GVY with the wind speed and wind shear warning value VYJ; If the wind speed and wind shear impact value GVY is greater than or equal to the wind speed and wind shear warning value VYJ, a warning signal is generated; If the wind speed and wind shear impact value GVY is less than the wind speed and wind shear warning value VYJ, a continuous monitoring signal is generated; The wind speed and wind shear impact values ​​of the aircraft on the flight route are calculated to further determine whether the wind speed and wind shear changes have an impact on the aircraft flight at that moment, and to issue early warning reminders to the staff and the flight to better ensure the safety of the aircraft flight.

[0021] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A Doppler laser radar airport low-altitude wind shear monitoring and early warning system, characterized in that: include: Wind speed model construction module: Based on the monitored spatial area of ​​the airport, with the center point of the airport as the coordinate origin, a monitoring space coordinate model is constructed, where the east direction is the x-axis, the north direction is the y-axis, and the vertical direction is the z-axis; at the same time, the spatial point coordinates (x, y, z) are determined with the unit length e as the coordinate point interval length; the spatial wind speed data is obtained based on Doppler laser radar measurement and calculation, and the wind speed model is constructed in the detection space coordinate model; Route data acquisition module: obtain the flight route of the aircraft, simulate the flight route of the aircraft into the detection space coordinate model, divide the flight route of the aircraft into height planes with unit height difference h, and mark each height plane from the ground upward as i, where i is 1, 2, 3...; obtain the wind speed data of the intersection point of the intersection point i (x, y, z) of the flight route of the aircraft and the height plane, and calculate the wind shear intensity performance value FB at each intersection point coordinate i (x, y, z) i（x，y，z） ; Route data processing module: based on the wind shear intensity performance value FB at each intersection coordinate i (x, y, z) in the aircraft flight route i（x，y，z） ; Calculate the wind speed and wind shear impact value GVY of the aircraft flight route; Early warning judgment module: obtains the wind speed and wind shear impact value, and compares the wind speed and wind shear impact value GVY with the wind speed and wind shear warning value VYJ; and generates an early warning signal.

2. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 1 is characterized in that: The construction process of the wind speed model is as follows: S1: The Doppler laser radar emits a laser beam in real time to monitor each spatial coordinate point, and based on the monitoring signal data, the radial wind speed value at each spatial coordinate point in the monitoring space is calculated; S2: Based on the radial wind speed value, obtain the angle data value of the Doppler laser radar, including the azimuth angle ω between the Doppler laser radar laser beam and the horizontal plane （x，y，z） and the elevation angle φ of the Doppler laser radar in the vertical direction （x，y，z） ; Then, the radial wind speed value at the spatial coordinate point (x, y, z) is calculated to obtain the wind speed component data; S3: Based on the wind speed component data, calculate the spatial wind speed data at the spatial coordinate point (x, y, z), including the spatial wind speed value VS （x，y，z） , horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） ; S4: Based on horizontal wind direction angle β （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the spatial wind direction at the spatial point coordinates (x, y, z), and based on the spatial wind speed value VS （x，y，z） , a wind speed model is constructed within the detection space coordinate model.

3. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 1 is characterized in that: The signal data includes the wave source emission frequency value Pz and the reflected light wave frequency value Pr; The radial wind speed value V at the spatial point coordinates (x, y, z) within the monitoring space area （x，y，z） The calculation method is: Obtain the signal data of the spatial coordinate points in the monitoring space area, including the emission frequency value Pz of the spatial coordinate wave source （x，y，z） and spatial coordinates of reflected light wave frequency value Pr （x，y，z） ; pass Calculate the radial wind speed value V at the spatial coordinate point (x, y, z) in the monitoring space area （x，y，z） ; Where Vg is the speed of light.

4. A Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 3, characterized in that: The wind speed projection component data includes the north-south component wind speed Vx at the spatial coordinate point (x, y, z) （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and vertical component wind speed Vz （x，y，z） ; Among them, the north-south component wind speed Vx （x，y，z） The calculation method is: ; East-west component wind speed Vy （x，y，z） The calculation method is: ; Vertical component wind speed Vz （x，y，z） The calculation method is: .

5. A Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 4, characterized in that: The space wind speed value VS （x，y，z） The calculation method is ; Horizontal wind direction angle β （x，y，z） The calculation method is ; Vertical wind direction angle γ （x，y，z） The calculation method is .

6. A Doppler lidar airport low-altitude wind shear monitoring and early warning system according to claim 5, characterized in that, The spatial wind direction is determined as follows: First, based on the north-south component wind speed Vx （x，y，z） , East-West Component Wind Speed ​​Vy （x，y，z） and horizontal wind direction angle β （x，y，z） Determine horizontal wind direction; If Vx （x，y，z） >0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southwest; If Vx （x，y，z） <0 and Vy （x，y，z） When >0, the wind direction in the horizontal plane is southeast; If Vx （x，y，z） <0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northeast; If Vx （x，y，z） >0 and Vy （x，y，z） When <0, the wind direction in the horizontal plane is northwest; At this time, the horizontal plane angle is the horizontal wind direction angle β （x，y，z） ; Based on the vertical component wind speed Vz （x，y，z） and vertical wind direction angle γ （x，y，z） , determine the vertical wind direction; If Vz （x，y，z） When >0, the wind is vertically upward; If Vz （x，y，z） When <0, the wind is vertically downward; At this time, the vertical angle is the vertical wind direction angle γ （x，y，z） .

7. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 1 is characterized in that: The wind speed data of the intersection of the section includes the spatial wind speed value JV of the intersection i（x，y，z） And vertical space wind speed value CV i（x，y，z） .

8. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 7 is characterized in that: The wind shear intensity performance value FB i（x，y，z） The calculation method is: Get the spatial wind speed value JV at the intersection coordinate i (x, y, z) i（x，y，z） And vertical space wind speed value CV i（x，y，z） ; pass Calculate the vertical wind shear change value FQ of the intersection coordinate i (x, y, z) i（x，y，z） ; Then through Calculate the wind shear intensity performance value FB of the intersection coordinate i (x, y, z) i（x，y，z） , where a is the intersection space wind speed influence coefficient, b is the vertical space wind speed influence coefficient, and a>0, b>0, a+b=1.

9. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 1, characterized in that: The calculation method of the wind speed and wind shear impact value GVY of the aircraft flight route is: W1: The wind shear intensity representation value FB of each intersection coordinate i（x，y，z） Compare with the wind shear intensity performance threshold FBY; If the wind shear intensity performance value FB i（x，y，z） If it is greater than or equal to the wind shear intensity threshold FBY, the intersection coordinates are marked as risk coordinate points; If the wind shear intensity performance value FB i（x，y，z） If it is less than the wind shear intensity threshold FBY, the intersection coordinates are marked as safe coordinate points; W2: Get the wind shear intensity performance value of the risk coordinate point and sum it up to obtain the total abnormal risk intensity value YC; At the same time, the value of the risk coordinate point is obtained and marked as n; pass Calculate and obtain the wind speed and wind shear impact value GVY of the aircraft's flight path.

10. The Doppler laser radar airport low-altitude wind shear monitoring and early warning system according to claim 1, characterized in that: Compare the wind speed and wind shear impact value GVY with the wind speed and wind shear warning value VYJ; If the wind speed and wind shear impact value GVY is greater than or equal to the wind speed and wind shear warning value VYJ, a warning signal is generated; If the wind speed and wind shear impact value GVY is less than the wind speed and wind shear warning value VYJ, a continuous monitoring signal is generated.

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