Reactive wind shear false alarm suppression method based on fusion of weather radar information

Abstract

The present invention provides a reactive wind shear false alarm suppression method for fusing meteorological radar information, comprising the following steps: step 1, performing wind field inversion on wind field information; step 2, introducing the wind field information to perform turbulence judgment, correcting the integration time and extracting a predictive wind shear F factor; step 3, calculating the reactive wind shear F factor according to a reactive wind shear method, and comparing it with an alarm threshold to obtain a wind shear alarm result; step 4, performing calculation and comparison using the reactive wind shear F factor and the F factor of an aircraft position point in the wind field inversion; if the integrated average difference between the reactive wind shear F factor and the predictive wind shear F factor is greater than a tolerance, performing maneuvering action type detection and completing the correction of the reactive wind shear F factor; if the integrated average difference between the reactive wind shear F factor and the F factor of the aircraft position point in the wind field inversion is less than the tolerance, generating a wind shear alarm; and step 5, obtaining the corrected F factor.

Description

Technical Field

[0001] The present invention relates to the field of radar technology, and in particular to a reactive wind shear false alarm suppression method that integrates meteorological radar information. Background Art

[0002] Wind shear detection systems are categorized by their warning principles: predictive (forward-looking) and reactive (current-state) systems. Predictive wind shear detection, based on airborne weather radar, extracts wind shear characteristic parameters such as echo power, Doppler wind speed, and spectral width from radar echoes to determine the presence and severity of wind shear. It can detect wind shear information on distant routes.

[0003] Reactive wind shear is when an aircraft is in a wind shear wind field. The airspeed, angle of attack, sideslip angle provided by the air data computer (ADC) and the aircraft speed and attitude information provided by the inertial reference system (IRS) are used to calculate the aircraft's current headwind speed change rate and vertical wind speed, and the hazard factor F is used to judge the degree of hazard of the low-altitude wind shear, and a warning message is issued to the pilot.

[0004] Reactive wind shear will have certain limitations if the standard F-factor method is used. Specifically, it is easily affected by turbulence and produces false wind shear alarms. In addition, the maneuvers during the aircraft's flight will also produce false wind shear alarms. Summary of the Invention

[0005] In view of this, an embodiment of the present specification provides a reactive wind shear false alarm suppression method that integrates weather radar information to achieve the purpose of reducing the reactive wind shear false alarm rate.

[0006] The embodiments of this specification provide the following technical solution: a reactive wind shear false alarm suppression method integrating weather radar information, comprising the following steps:

[0007] Step 1: Perform wind field inversion on wind field information;

[0008] Step 2: Introduce wind field information to judge turbulence, correct the integration time and extract the predictive wind shear F factor;

[0009] Step 3: Calculate the reactive wind shear F factor according to the reactive wind shear method, and compare it with the alarm threshold to obtain the wind shear alarm result;

[0010] Step 4: Compare and calculate the reactive wind shear F factor with the F factor at the aircraft position in the wind field inversion. If the integrated average difference between the reactive wind shear F factor and the predicted wind shear F factor is greater than the tolerance, the reactive wind shear module performs maneuver type detection and completes the correction of the reactive wind shear F factor. If the integrated average difference between the reactive wind shear F factor and the F factor at the aircraft position in the wind field inversion is less than the tolerance, a wind shear alarm is generated.

[0011] Step 5: Based on the time interval sensitivity characteristics, a corrected F factor is obtained by weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor. Step 3 is re-executed and a wind shear warning result is given.

[0012] Furthermore, step one includes:

[0013] Step 1.1: The wind field information obtained from the predicted wind shear is defined in a radar coordinate system with the aircraft position as the origin, where each node contains information on horizontal wind speed, vertical wind speed, F factor, and turbulence characteristic value;

[0014] Step 1.2: Determine the latitude and longitude range of the predictive wind shear forward detection based on the aircraft position, heading information, and detection range. Select three points within the predictive wind shear forward detection range and convert them into longitude and latitude values using the Mercator projection method. Take the maximum and minimum longitude and latitude values as the boundary values of the predictive wind shear forward detection range.

[0015] Step 1.3: Divide the area within the spatial range of the predictive wind shear forward-looking detection into a grid to form a latitude and longitude grid, and fill the predictive wind shear detection results into the latitude and longitude grid.

[0016] Furthermore, step two is specifically as follows: according to the position of the aircraft, find the corresponding position information in the latitude and longitude grid formed in step one, check whether there is turbulence information at the position of the aircraft in the latitude and longitude grid, adjust the integration time of the reactive wind shear F factor according to the size of the turbulence characteristic value, and extract the predictive wind shear F factor.

[0017] Furthermore, step three specifically includes:

[0018] Step 3.1: The reactive wind shear F factor is calculated according to the formula Calculate, where is the horizontal component of the wind along the flight path, W is the vertical component of the wind, and V a is the airspeed, g is the acceleration due to gravity;

[0019] Step 3.2: Compare the integrated average value of the reactive wind shear F factor over a period of time with the alarm threshold and give an alarm result.

[0020] Furthermore, step four includes: step 4.1, calculating the difference integral average of the reactive wind shear F factor and the predictive wind shear F factor, and comparing the difference integral average with the judgment threshold to determine whether there is an impact of the maneuvering action.

[0021] Furthermore, step 4 includes: step 4.2, if there is a maneuvering action impact, the following steps are included:

[0022] Based on the changing characteristics of flight parameters in wind shear environment, qualitatively analyze the changing trends of flight parameters under different maneuver types;

[0023] Based on the changing trends of flight parameters under different maneuver types, a matrix A1 = [a1 a2 a3 a4 a5 a6] of the probability of each maneuver is established, where a1 to a6 represent the probability of the aircraft performing the maneuver in the current flight phase.

[0024] According to the similarity between the maneuver type and the flight parameters under the wind shear environment, a matrix B1=[b1 b2 b3 b4b5 b6] is established, where b1-b6 represent the probability of the maneuver occurring according to the aircraft parameters.

[0025] According to A1 = [a1 a2 a3 a4 a5 a6] and B1 = [b1 b2 b3 b4 b5 b6], determine the occurrence factor λ = f(A1, B1) of each current maneuver type of the aircraft;

[0026] Obtain the empirical impact factor f of the current maneuver by searching the maneuver type database;

[0027] According to the empirical impact factor, the occurrence factor and the maneuvering impact correction function Fun = fun (f, λ), the large maneuvering impact factor is obtained;

[0028] The modified reactive wind shear F1 factor is obtained by F1=Fun·F1.

[0029] Furthermore, step four also includes: step 4.3, if there is no maneuvering action impact, generating a wind shear warning.

[0030] Furthermore, step five includes:

[0031] By F mix (t) = kF1(t) + (1-k)F2(t) is the weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor, where F2(t) is the predictive wind shear F factor, k = (t1-t) / (t1-t0), t is the moment when the predictive wind shear obtains the wind field information at that location, t0 is the starting time of the fusion calculation, and t1 is the starting time of the detection blind zone;

[0032] pass The F factor after integral calculation and correction, t2 is the current moment;

[0033] The corrected F factor is compared with the alarm threshold and an alarm result is generated.

[0034] Compared with the existing technology, the beneficial effects that can be achieved by at least one of the above-mentioned technical solutions adopted in the embodiments of this specification include at least the following: in order to reduce the false alarms of wind shear caused by turbulence and maneuvering in reactive wind shear and improve the performance of reactive wind shear warning, the wind field detected by the weather radar is introduced into the ground proximity warning system, wind field inversion is performed, and the wind field data is organized into a data form that is convenient for reactive wind shear to use. In the stage of reactive wind shear warning processing, the turbulence characteristics of the detected wind field information are used to correct the integration time of the current F factor calculation, so as to minimize the contribution of the F factor caused by disturbances. In addition, the influence factor of large maneuvering is combined in the reactive wind shear warning processing, and different weight ratios of predictive wind shear F factor and reactive wind shear F factor are calculated based on the sensitivity of time interval, so as to effectively reduce the probability of false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0036] Figure 1 It is a schematic diagram of the process structure of an embodiment of the present invention;

[0037] Figure 2 This is a functional architecture diagram of the reactive wind shear false alarm suppression system of the present invention;

[0038] Figure 3 It is a modified structure diagram of wind shear F factor based on large maneuvering factor reaction;

[0039] Figure 4 This is the principle diagram of F-factor fusion calculation;

[0040] Figure 5 It is the wind field inversion operation diagram. DETAILED DESCRIPTION

[0041] The embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0042] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0043] like Figures 1 to 5 As shown, an embodiment of the present invention provides a reactive wind shear false alarm suppression method integrating weather radar information, comprising the following steps:

[0044] Step 1: Perform wind field inversion on wind field information;

[0045] Step 2: Introduce wind field information to judge turbulence, correct the integration time and extract the predictive wind shear F factor;

[0046] Step 3: Calculate the reactive wind shear F factor according to the reactive wind shear method, and compare it with the alarm threshold to obtain the wind shear alarm result;

[0047] Step 4: Compare and calculate the reactive wind shear F factor with the F factor at the aircraft position in the wind field inversion. If the integrated average difference between the reactive wind shear F factor and the predicted wind shear F factor is greater than the tolerance, the reactive wind shear module performs maneuver type detection and completes the correction of the reactive wind shear F factor. If the integrated average difference between the reactive wind shear F factor and the F factor at the aircraft position in the wind field inversion is less than the tolerance, a wind shear alarm is generated.

[0048] Step 5: Based on the time interval sensitivity characteristics, a corrected F factor is obtained by weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor. Step 3 is re-executed and a wind shear warning result is given.

[0049] To reduce false wind shear alarms caused by turbulence and maneuvers in reactive wind shear and improve the performance of reactive wind shear warnings, the wind field detected by the weather radar is introduced into the ground proximity warning system for wind field inversion, and the wind field data is organized into a data format that is convenient for reactive wind shear. During the reactive wind shear warning processing stage, the turbulent characteristics of the detected wind field information are used to correct the integration time of the current F-factor calculation, minimizing the F-factor contribution caused by disturbances. In addition, the reactive wind shear warning processing incorporates the influence factor of large maneuvers and calculates different weighted ratios of the predictive wind shear F-factor and the reactive wind shear F-factor based on time interval sensitivity, effectively reducing the probability of false alarms.

[0050] Step one includes:

[0051] Step 1.1: The wind field information obtained from the predicted wind shear is defined in a radar coordinate system with the aircraft position as the origin, where each node contains information on horizontal wind speed, vertical wind speed, F factor, and turbulence characteristic value;

[0052] Step 1.2: Determine the latitude and longitude range of the predictive wind shear forward detection based on the aircraft position, heading information, and detection range. Select three points within the predictive wind shear forward detection range and convert them into longitude and latitude values using the Mercator projection method. Take the maximum and minimum longitude and latitude values as the boundary values of the predictive wind shear forward detection range.

[0053] Step 1.3: Divide the area within the spatial range of the predictive wind shear forward-looking detection into a grid to form a latitude and longitude grid, and fill the predictive wind shear detection results into the latitude and longitude grid.

[0054] Step 2 is as follows: Based on the aircraft's location, find the corresponding location information in the latitude and longitude grid formed in step 1, check whether there is turbulence information at the aircraft's location in the latitude and longitude grid, adjust the integration time of the reactive wind shear F factor based on the size of the turbulence characteristic value, and extract the predictive wind shear F factor.

[0055] Step three specifically includes:

[0056] Step 3.1: The reactive wind shear F factor is calculated according to the formula Calculate, where is the horizontal component of the wind along the flight path, W is the vertical component of the wind, and V a is the airspeed, g is the acceleration due to gravity;

[0057] Step 3.2: Compare the integrated average value of the reactive wind shear F factor over a period of time with the alarm threshold and give an alarm result.

[0058] Step 4 includes: Step 4.1, calculating the difference integral average between the reactive wind shear F factor and the predictive wind shear F factor, and comparing the difference integral average with the judgment threshold to determine whether there is an impact of the maneuvering action.

[0059] Step 4.2: If there is a maneuvering effect, the following steps are included:

[0060] Based on the changing characteristics of flight parameters in wind shear environment, qualitatively analyze the changing trends of flight parameters under different maneuver types;

[0061] Based on the changing trends of flight parameters under different maneuver types, a matrix A1 = [a1 a2 a3 a4 a5 a6] of the probability of each maneuver is established, where a1 to a6 represent the probability of the aircraft performing the maneuver in the current flight phase.

[0062] According to the similarity between the maneuver type and the flight parameters under the wind shear environment, a matrix B1=[b1 b2 b3 b4b5 b6] is established, where b1-b6 represent the probability of the maneuver occurring according to the aircraft parameters.

[0063] According to A1 = [a1 a2 a3 a4 a5 a6] and B1 = [b1 b2 b3 b4 b5 b6], determine the occurrence factor λ = f(A1, B1) of each current maneuver type of the aircraft;

[0064] Obtain the empirical impact factor f of the current maneuver by searching the maneuver type database;

[0065] According to the empirical impact factor, the occurrence factor and the maneuvering impact correction function Fun = fun (f, λ), the large maneuvering impact factor is obtained;

[0066] The modified reactive wind shear F1 factor is obtained by F1=Fun·F1.

[0067] Step 4.3: If there is no impact of the maneuvering action, a wind shear warning is generated.

[0068] Step five includes:

[0069] By F mix (t) = kF1(t) + (1-k)F2(t) is the weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor, where F2(t) is the predictive wind shear F factor, k = (t1-t) / (t1-t0), t is the time when the predictive wind shear obtains the wind field information at that location, t0 is the starting time of the fusion calculation, and t1 is the starting time of the detection blind zone:

[0070] pass The F factor after integral calculation and correction, t2 is the current moment;

[0071] The corrected F factor is compared with the alarm threshold and an alarm result is generated.

[0072] Compared with the reactive wind shear warning method of the existing ground proximity warning system, the present invention integrates the wind field detection information of predictive wind shear, uses the measured turbulence characteristic information to adjust the judgment sensitivity, reduces the F factor fluctuation component contributed by turbulence, and reduces false alarms.

[0073] The present invention introduces a fusion mode of predictive wind shear F factor and reactive wind shear F factor. When the difference between the reactive wind shear F factor and the predictive wind shear F factor is greater than a threshold, the reactive wind shear module performs a weighted fusion of the reactive and predictive F factors according to the aircraft maneuvering state, thereby reducing reactive wind shear false alarms caused by maneuvers.

[0074] Specific application examples of the embodiments of the present invention are as follows:

[0075] Step 1: Predictive wind shear wind field inversion.

[0076] like Figure 5 As shown, the wind field information obtained from predictive wind shear is defined in a radar coordinate system with the aircraft's position as the origin. Each node contains information on horizontal wind speed, vertical wind speed, F factor, and turbulence characteristic values. The longitude and latitude ranges (Lat_Min, Lat_Max, Lon_Min, and Lon-Max) for predictive wind shear forward detection are determined based on the aircraft's position, heading, and detection range. Three points (A[-For_Dis, 0], B[0, For_Dis], and C[For_Dis, 0]) are converted to longitude and latitude using a Mercator projection. The maximum and minimum longitude and latitude values are taken as the Lat_Min, Lat_Max, Lon_Min, and Lon-Max boundary values. The area within the [Lat_Min, Lat_Max], [Lon_Min, Lon_Max] spatial range is gridded, and the predictive wind shear detection results are populated into the longitude and latitude grid.

[0077] Step 2: Introduce wind field information to judge turbulence, correct the integration time and extract the predictive wind shear F factor.

[0078] Based on the aircraft's location, search the inverted wind matrix generated in step 1 for the corresponding location information. Check for turbulence at the current location and adjust the F-factor integration time based on the turbulence eigenvalue. Extract the predicted wind shear F-factor for subsequent calculations.

[0079] Step 3: Reactive wind shear standard F-factor warning judgment

[0080] The reactive wind shear F factor is calculated according to Equation 1, where is the horizontal component of the wind along the flight path, W is the vertical component of the wind, and V a is the airspeed and g is the acceleration due to gravity.

[0081]

[0082] The F factor represents the wind field term of an aircraft's response to wind shear and is used to define the threshold for dangerous wind shear in airborne wind shear warning systems. The average value of the F factor over a period of time is used to determine whether the warning threshold has been exceeded and issue a warning.

[0083] Step 4: By comparing the reactive wind shear F factor and the average integral of the F factor difference at the aircraft position in the inverted wind field, determine whether there is a maneuvering effect. If so, the reactive wind shear F factor maneuvering effect needs to be corrected. Otherwise, a reactive wind shear alarm is generated.

[0084] In view of the changing characteristics of flight parameters in wind shear environments, common maneuver types are listed, and the changing trends of major flight parameters and the characteristics of civil aircraft flight are qualitatively analyzed. A comparison table of the changing trends of flight parameters under different maneuver types is listed, as shown in Table 1 for details.

[0085] Table 1 Reference table of flight parameter change trends under different maneuver types

[0086]

[0087] The calculation process of large maneuver impact factor is as follows Figure 3 As shown, the specific steps are:

[0088] First, based on the input flight parameters and maneuver type database, the analytic hierarchy process (AHP) method is used to determine the probability of each maneuver type in the current flight scenario. Incorporating the characteristics of the low-altitude wind shear wind field and scenario recognition, a matrix A1 = [a1 a2 a3 a4 a5 a6] for the probability of each maneuver is established. Similarly, a matrix B1 = [b1 b2 b3 b4 b5 b6] is established based on the similarity between the maneuver type and the flight parameters under the wind shear environment. Next, based on the probability and similarity matrix information of each maneuver, the occurrence factor λ = f(A1, B1) of each maneuver is determined. The maneuver influence factor table is then looked up in the maneuver type database to determine the empirical influence factor f. Then, based on the empirical influence factor and the occurrence factor, the maneuver influence correction function Fun = fun(f, λ) is used to obtain the large maneuver influence factor. Finally, the reactive wind shear factor F1 is corrected, i.e., F1 = Fun·F1.

[0089] Step 5: Multi-source F-factor fusion recalculation and alarm detection.

[0090] The calculation principle diagram of F factor is as follows Figure 4 As shown in Figure 1, the total fusion time is T, and t2 is the current time. Due to the existence of the radar detection blind zone, that is, the time interval [t1, t2], there is no available fusion detection data for predictive wind shear, and F = F1 in this interval.

[0091] The fusion interval of the multi-source F factor is [t0, t1]. Due to the rapid changes in the wind field, the predictive wind shear F2 factor has a time-sensitive characteristic, that is, the longer the time, the lower the confidence. Therefore, the time variable is introduced as a criterion for measuring the weight. Based on the time interval sensitivity characteristics, the multi-source F factors (reactive F1 and predictive F2) are weighted fused according to formula (2), where k = (t1-t) / (t1-t0), and t is the time when the predictive wind shear obtains the wind field information at that location.

[0092] F mix (t)=kF1(t)+(1-k)F2(t) (2)

[0093] The F factor is then integrated and averaged to obtain Δ, which is calculated as follows:

[0094]

[0095] By comparing with the alarm threshold, a reactive wind shear alarm is generated when the calculated result is higher than the alarm threshold, otherwise no alarm is generated.

[0096] The above description is merely a specific embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, substitutions of equivalent components, or equivalent changes and modifications made within the scope of patent protection, should still fall within the scope of this patent. Furthermore, the technical features of the present invention may be freely combined with one another, with other technical solutions, and with other technical solutions.

Claims

1. A reactive wind shear false alarm suppression method integrating weather radar information, characterized in that: The following steps are involved: Step 1: Perform wind field inversion on wind field information; Step 2: Introduce wind field information to judge turbulence, correct the integration time and extract the predictive wind shear F factor; Step 3: Calculate the reactive wind shear F factor according to the reactive wind shear method, and compare it with the alarm threshold to obtain the wind shear alarm result; Step 4: Calculate and compare the reactive wind shear F factor with the F factor at the aircraft position in the wind field inversion. If the integrated average difference between the reactive wind shear F factor and the predicted wind shear F factor is greater than the tolerance, the reactive wind shear module performs maneuver type detection and completes the correction of the reactive wind shear F factor. If the integrated average difference between the reactive wind shear F factor and the F factor at the aircraft position in the wind field inversion is less than the tolerance, a wind shear alarm is generated. Step 5: Based on the time interval sensitivity characteristics, a corrected F factor is obtained by weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor. Step 3 is re-executed and a wind shear warning result is given.

2. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 1, characterized in that: The step one comprises: Step 1.1: The wind field information obtained from the predicted wind shear is defined in a radar coordinate system with the aircraft position as the origin, where each node contains information on horizontal wind speed, vertical wind speed, F factor, and turbulence characteristic value; Step 1.2: Determine the latitude and longitude range of the predictive wind shear forward detection based on the aircraft position, heading information, and detection range. Select three points within the predictive wind shear forward detection range and convert them into longitude and latitude values using the Mercator projection method. Take the maximum and minimum longitude and latitude values as the boundary values of the predictive wind shear forward detection range. Step 1.3: Divide the area within the spatial range of the predictive wind shear forward-looking detection into a grid to form a latitude and longitude grid, and fill the predictive wind shear detection results into the latitude and longitude grid.

3. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 2, characterized in that: The second step specifically includes: searching for corresponding location information in the latitude and longitude grid formed in step one based on the aircraft's location, checking whether there is turbulence information at the aircraft's location in the latitude and longitude grid, adjusting the integration time of the reactive wind shear F factor based on the turbulence characteristic value, and extracting the predictive wind shear F factor.

4. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 3, characterized in that: The step three specifically includes: Step 3.1: The reactive wind shear F factor is calculated according to the formula Calculate, where is the horizontal component of the wind along the flight path, W is the vertical component of the wind, and V a is the airspeed, g is the acceleration due to gravity; Step 3.2: Compare the integrated average value of the reactive wind shear F factor over a period of time with the alarm threshold and give an alarm result.

5. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 4, characterized in that: The step 4 includes: step 4.1, calculating the integrated average difference between the reactive wind shear F factor and the predictive wind shear F factor, and comparing the integrated average difference with the tolerance to determine whether there is an impact of the maneuvering action.

6. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 5, characterized in that: The step 4 includes: step 4.2, if there is a maneuvering action impact, the following steps are included: Based on the changing characteristics of flight parameters in wind shear environment, qualitatively analyze the changing trends of flight parameters under different maneuver types; Based on the changing trends of flight parameters under different maneuver types, a matrix A1 = [a1a2 a3 a4 a5 a6] of the probability of each maneuver is established, where a1 to a6 represent the probability of the aircraft performing the maneuver in the current flight phase. Based on the similarity between the maneuver type and the flight parameters under wind shear environment, a matrix B1 = [b1 b2 b3 b4 b5b6] is established, where b1 to b6 represent the probability of the maneuver occurring based on the aircraft parameters; According to A1 = [a1 a2 a3 a4 a5 a6] and B1 = [b1 b2 b3 b4 b5 b6], determine the occurrence factor λ = f(A1, B1) of each current maneuver type of the aircraft; Obtain the empirical impact factor f of the current maneuver by searching the maneuver type database; According to the empirical impact factor, the occurrence factor and the maneuvering impact correction function Fun = fun(f,λ), the large maneuvering impact factor is obtained; The modified reactive wind shear F1 factor is obtained by F1=Fun·F1.

7. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 6, characterized in that: The step four also includes: step 4.3, if there is no maneuvering action impact, generating a wind shear warning.

8. The reactive wind shear false alarm suppression method based on weather radar information fusion according to claim 7, characterized in that: The step five includes: By F mix (t) = kF1(t) + (1-k)F2(t) is the weighted fusion of the predictive wind shear F factor and the reactive wind shear F factor, where F2(t) is the predictive wind shear F factor, k = (t1-t) / (t1-t0), t is the moment when the predictive wind shear obtains the wind field information at that location, t0 is the starting time of the fusion calculation, and t1 is the starting time of the detection blind zone; pass The F factor after integral calculation and correction, t2 is the current moment; The corrected F factor is compared with the alarm threshold and an alarm result is generated.

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