CN105607063B - A kind of airport low detection method and system - Google Patents
A kind of airport low detection method and system Download PDFInfo
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- CN105607063B CN105607063B CN201610005901.9A CN201610005901A CN105607063B CN 105607063 B CN105607063 B CN 105607063B CN 201610005901 A CN201610005901 A CN 201610005901A CN 105607063 B CN105607063 B CN 105607063B
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Abstract
The present invention relates to a kind of airport low detection method and system, the detection method includes：Step S01, boundary layer wind-profile radar data and airfield runway wind sensor data are gathered in real time, obtain wind field information；Step S02, extract and export wind shear information, when wind shear information exceedes system thresholds, trigger internal system pre-warning signal；Step S03, internal system pre-warning signal is judged.Detection system includes：Data acquisition module, for gathered data, obtain wind field information；Wind shear data processing module, for extracting wind shear characteristic information；Wind shear warning data output module, for judging and exporting pre-warning signal.The present invention carries out real-time detection by boundary layer wind-profile radar to airport overhead wind field, early warning is carried out to wind shear horizontally and vertically using obtained Practical Meteorological Requirements observation data, identification and pre-alerting ability of the airport to wind shear weather are favorably improved, is with a wide range of applications.
Description
Technical field
The present invention relates to atmospheric wind field of detecting, more particularly to a kind of airport low detection method and system.
Background technology
Low belongs to minute yardstick weather phenomenon, and normally only a few minutes to a few hours, scope are also only existence time
Several meters to several kilometers, be the phenomenon that suddenly change occurs for the horizontal or vertical direction upwind in low latitude or wind speed, have intensity it is big, when
Between it is short, sudden it is strong, coverage is small, the features such as very difficult prediction, forecast, serious threat, which, to be taken off and landing activity
Safety.
At present, the most countries such as U.S. mainly use the low early warning system (Low based on ground wind sensor
Level Wind Shear Alert System, LLWAS) Wind measurement is carried out, LLWAS systems have evolved to the 3rd at present
3 or 2 wind speed, wind transducer are divided into one group respectively, are divided into some groups by generation, the system, the wind speed that is detected according to it,
Wind direction, wind field and its situation of change are calculated with reference to the relative position of each sensor.If wind field is divergence, assumed according to symmetrical
The micro handling system model established, the change of calculation of wind speed, and judge downburst goes out flow center.When the phasor difference of wind field
When reaching certain threshold value, that is, produce wind shear early warning, it is possible to provide runway stretches out 3 nautical miles, spatial domain below 300 meters of approach corridor
Wind shear warning information.Wind sensor is ground transaucer used by due to LLWAS systems, can only detect the water on ground
Flat wind shear, it is helpless to the wind shear higher than wind sensor space and vertical wind shear, because upper-level winds field data is base
Data are observed in Surface Winds Over, and carry out what algorithm inverting obtained using numerical model, therefore inversion result is deposited with actual conditions
In certain difference.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of airport low detection method and system, solve mesh
Analog result present in the preceding method by numerical model inverting high-altitude wind field can not react true weather condition completely, can not
The problem of actual detection is carried out to the wind shear of vertical direction.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：
A kind of airport low detection method, including：
Step S01, boundary layer wind-profile radar data and airfield runway wind sensor data are gathered in real time, obtain wind field letter
Breath；
Step S02, according to the wind field information, extract and export wind shear information, when wind shear information exceedes system threshold
During value, internal system pre-warning signal is triggered；
Step S03, according to internal system pre-warning signal type and airport ground weather conditions parameter, judge whether to meet defeated
Go out pre-warning signal condition, if so, then exporting pre-warning signal, otherwise judge that the internal system pre-warning signal does not form early warning, and
Return to step S01 continues data acquisition.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the temporal resolution of the boundary layer wind-profile radar data is 6 minutes.
Further, the temporal resolution of the airfield runway wind sensor data is 1 minute.
Further, step S02 is implemented as：
Step S021, runway wind orthogonal vectors are decomposed, and are according to parallel runways direction and vertical runway by horizontal wind data
Direction is decomposed, and conversion relational expression is as follows,
Wherein, θ is runway and the angle of direct north along clockwise direction, and V is instantaneous wind speed probe value, VyFor parallel race
The wind speed in road direction, VxFor the wind speed in vertical runway direction；
Step S022, result of calculation is stored using three-dimensional data structure, obtains three three-dimensional data structures, it is respectively flat
Row runway wind speed Vy, vertical runway wind speed VxThe vertical velocity on different height obtained with boundary layer wind-profile radar
Vvertical；
Step S023, to wind shear information whether exceed system thresholds carry out comprehensive detection, including Horizontal consistency detection,
Low latitude consistency detection and vertical direction consistency detection；
The Horizontal consistency detection, is by the parallel runways wind speed V of at least two airfield runway wind sensorsyWith it is vertical
Runway wind speed VxContrasted, when the observation and the speed difference of the observation of other at least one that detect a certain equipment
During more than system thresholds, then horizontal wind shear early warning is triggered；
The low latitude consistency detection, it is by boundary layer wind-profile radar 180m, 240m, 300m, 360m, 420m, 600m
Parallel runways wind speed VyWith vertical runway wind speed Vx, respectively the result of detection with least two airfield runway wind sensors carry out
Contrast, if certain one-time detection finds that speed difference exceedes system thresholds, trigger low latitude horizontal wind shear early warning；
The vertical direction consistency detection, it is the vertical velocity V of real-time detection boundary layer wind-profile radarverticalWith height
The variation characteristic of degree and the vertical velocity V of different heightverticalCharacteristic is changed over time, when a certain variation characteristic exceedes system
During threshold value, then vertical direction wind shear early warning is triggered.
Further, three dimensions of the three-dimensional data structure are detecting devices dimension, time dimension, height dimension respectively
Degree.
Further, the detecting devices dimension includes four elements：Boundary layer wind-profile radar, airfield runway the North hearsay
Sensor, airfield runway middle-end wind sensor and airfield runway south wind sensor.
Further, the time dimension uses the Unite States Standard time.
Further, the elevation dimension is by airfield runway wind sensor detection height and the detection of boundary layer wind-profile radar
Elevation information combines.
Further, the output wind shear information includes time, position, intensity and type information that wind shear occurs.
Further, the internal system pre-warning signal type is：
The pre-warning signal of internal system first, by Horizontal consistency detection triggers, export at least two airfield runway wind
Sensor parallel runway wind speed VyWith vertical runway wind speed VxThe curve changed over time in special time；
The pre-warning signal of internal system second, is triggered by low latitude consistency detection result, and output boundary layer wind profile radar is pre-
Parallel runways wind speed V on alert height layeryWith vertical runway wind speed VxAt least two airfield runway wind sensor parallel runways wind
Fast VyWith vertical runway wind speed VxThe curve changed over time in special time；
The pre-warning signal of internal system the 3rd, triggered by vertical direction consistency detection result, output boundary layer Wind outline thunder
Up to vertical velocity VverticalWith the curve of height change in special time.
Further, the airport ground weather conditions parameter includes low-level jet stream parameter, cold front and passed by parameter and convective cloud
Roll into a ball parameter of passing by.
Another technical scheme that the present invention solves above-mentioned technical problem is as follows：A kind of airport low detection system,
Including：
Data acquisition module, it is used to gather boundary layer wind-profile radar data and airfield runway wind sensor number in real time
According to obtaining wind field information；
Wind shear data processing module, it is used for according to the wind field information, extracts and exports wind shear characteristic information, when
When wind shear information exceedes system thresholds, internal system pre-warning signal is triggered；
Wind shear warning data output module, it is used for vaporous according to internal system pre-warning signal type and airport ground day
Condition parameter, judge whether to export pre-warning signal.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the data acquisition module also includes boundary layer wind-profile radar, and the boundary layer wind-profile radar is used
Horizontal wind speed, horizontal wind direction and vertical velocity data in the range of acquisition radar overhead 150m to 3000m.
Further, the boundary layer wind-profile radar uses senior engineer's operation mode and low mode of operation；
The high workload mode detection scope 600m to 3000m, range resolution ratio 120m；
The low mode of operation investigative range 120m to 600m, range resolution ratio 60m.
Further, the data acquisition module also includes at least two airfield runway wind sensors, the airfield runway wind
Sensor is used to obtain the ground instantaneous wind speed at runway both ends and centre position and instantaneous wind direction data.
Further, the wind shear data processing module includes wind shear informix detection module.
Further, the wind shear informix detection module includes Horizontal consistency detection module, low latitude uniformity is examined
Survey module and vertical direction consistency detection module.
The beneficial effects of the invention are as follows：Real-time detection, profit are carried out to airport overhead wind field by boundary layer wind-profile radar
Early warning is carried out to wind shear horizontally and vertically with obtained Practical Meteorological Requirements observation data, due to wind shear early warning
What calculating process used is all Practical Meteorological Requirements observation data, and the result drawn has higher confidence level.This method utilizes
The vertical sounding function of boundary layer wind-profile radar, is detected and early warning to the wind shear weather of vertical direction, is improved pair
The pre-alerting ability of downburst weather, detection identification and pre-alerting ability of the airport to wind shear weather are favorably improved, had wide
General application prospect.
Brief description of the drawings
Fig. 1 is a kind of airport low detection method flow chart of the present invention；
Fig. 2 is extraction wind shear information flow chart of the present invention；
Fig. 3 is a kind of airport low detection system block diagram of the present invention；
Fig. 4 is Xianyang Airport wind profile radar in 6 days March in 2013 phoenix plumage figure of the present invention；
Fig. 5 is that different height wind speed of the present invention changes over time curve；
Fig. 6 is Xianyang Airport wind profile radar in 29 days April in 2013 phoenix plumage figure of the present invention；
Fig. 7 is Xianyang Airport wind profile radar in 29 days April in 2013 vertical speed figure of the present invention.
In accompanying drawing, the list of parts representated by each label is as follows：
1st, data acquisition module, 2, wind shear data processing module, 3, wind shear warning data output module, 11, border
Layer wind profile radar, 12, airfield runway wind sensor.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in figure 1, a kind of airport low detection method, including：
Step S01, boundary layer wind-profile radar data and airfield runway wind sensor data are gathered in real time, obtain wind field letter
Breath；
Step S02, according to the wind field information, extract and export wind shear information, when wind shear information exceedes system threshold
During value, internal system pre-warning signal is triggered；
Step S03, according to internal system pre-warning signal type and airport ground weather conditions parameter, judge whether to meet defeated
Go out pre-warning signal condition, if so, then exporting pre-warning signal, otherwise judge that the internal system pre-warning signal does not form early warning, and
Return to step S01 continues data acquisition.
As shown in Fig. 2 step S02's is implemented as：
Step S021, runway wind orthogonal vectors are decomposed, and are according to parallel runways direction and vertical runway by horizontal wind data
Direction is decomposed, and conversion relational expression is as follows,
Wherein, θ is runway and the angle of direct north along clockwise direction, and V is instantaneous wind speed probe value, VyFor parallel race
Road direction wind speed, VxFor vertical runway direction wind speed；
Step S022, result of calculation is stored using three-dimensional data structure, obtains three three-dimensional data structures, it is respectively flat
Row runway wind speed Vy, vertical runway wind speed VxWith vertical velocity Vvertical；
Three dimensions of three-dimensional data structure are detecting devices dimension, time dimension, elevation dimension respectively.Detecting devices is tieed up
Degree includes four elements：In boundary layer wind-profile radar 11 (as shown in Figure 3), airfield runway the North wind sensor, airfield runway
Hold wind sensor and airfield runway south wind sensor；Time dimension uses the Unite States Standard time；Elevation dimension is by airfield runway
The detection elevation information of wind sensor detection height and boundary layer wind-profile radar combines.
Step S023, to wind shear information whether exceed system thresholds carry out comprehensive detection, including Horizontal consistency detection,
Low latitude consistency detection and vertical direction consistency detection；
The Horizontal consistency detection, is by the parallel runways wind speed V of at least two airfield runway wind sensorsyWith it is vertical
Runway wind speed VxContrasted, when the observation and the speed difference of the observation of other at least one that detect a certain equipment
During more than system thresholds, then horizontal wind shear early warning is triggered；
The low latitude consistency detection, it is by boundary layer wind-profile radar 180m, 240m, 300m, 360m, 420m, 600m
Parallel runways wind speed VyWith vertical runway wind speed Vx, respectively the result of detection with least two airfield runway wind sensors carry out
Contrast, if certain one-time detection finds that speed difference exceedes system thresholds, trigger low latitude horizontal wind shear early warning；
The vertical direction consistency detection, it is the vertical velocity V of real-time detection boundary layer wind-profile radarverticalWith height
The variation characteristic of degree and the vertical velocity V of different heightverticalCharacteristic is changed over time, when a certain variation characteristic exceedes system
During threshold value, then vertical direction wind shear early warning is triggered.
Internal system pre-warning signal is by the pre-warning signal of internal system first, the pre-warning signal of internal system second and internal system
3rd pre-warning signal form, when trigger internal system pre-warning signal, this method can not only export wind shear generation position and
Strength information, but also the distinguishing rule curve of this early warning can be exported, i.e.,：
The pre-warning signal of internal system first, by Horizontal consistency detection triggers, export at least two airfield runway wind
Sensor parallel runway wind speed VyWith vertical runway wind speed VxThe curve changed over time in special time.Specifically, the curve
Time range is 1-10 minutes, can be preferably 2 minutes.It is advantageous in that airfield runway wind sensor can provide 2 minutes averagely
Wind speed and direction value, 2 minutes maximum wind velocities and wind direction value and 2 minutes minimum windspeeds and wind direction value.So, the curve can also be with
The data that airfield runway wind sensor provides directly are contrasted, and facilitate forecaster to use.
The pre-warning signal of internal system second, is triggered by low latitude consistency detection result, and output boundary layer wind profile radar is pre-
Parallel runways wind speed V on alert height layeryWith vertical runway wind speed VxThe curve changed over time in special time and at least two
Platform airfield runway wind sensor parallel runways wind speed VyWith vertical runway wind speed VxThe curve changed over time in special time.
Specifically, two kinds of curve time ranges are 1-10 minutes, can be preferably 6 minutes, it is advantageous in that boundary layer wind-profile radar
The one group of detection data of renewal in every 6 minutes, by two kinds of curve comparisons, ensure that the real-time of early warning.
The pre-warning signal of internal system the 3rd, triggered by vertical direction consistency detection result, output boundary layer Wind outline thunder
Up to vertical velocity VverticalWith the curve of height change in special time.Specifically, the plot against time scope is 1-10 minutes,
It can be preferably 6 minutes, it is advantageous in that the boundary layer wind-profile radar one group of detection data of renewal in every 6 minutes, ensure that early warning
Real-time.
Forecaster's warning information according to caused by wind shear data processing module, with reference to airport ground weather conditions parameter,
Comprehensive analysis is carried out to airport weather real-time weather situation.If analysis finds low-level jet stream is now occurring, cold front passes by, right
Stream cloud cluster passes by the synoptic process for waiting and easily triggering wind shear, then it represents that system caused by wind shear data processing module 2 (such as Fig. 3)
Wind shear warning information is correct early warning in system, and forecaster exports wind shear information and pre-warning signal and gives aerodrome flight control immediately
Personnel, instruct pilot flight.
As shown in figure 3, a kind of airport low detection system, including：Data acquisition module 1, it is used to adopt in real time
Collect boundary layer wind-profile radar data and airfield runway wind sensor data, obtain wind field information；Wind shear data processing module
2, it is used to carry out the observation data of boundary layer wind-profile radar 11 and airfield runway wind sensor 12 processing computing, and detection is big
Continuity of the gas wind field in horizontal wind direction, vertical direction, the wind field information is handled, extract and export wind shear letter
Breath, when wind shear information exceedes system thresholds, trigger internal system pre-warning signal；Wind shear warning data output module 3, its
For according to internal system pre-warning signal type and airport ground weather conditions parameter, being extracted to wind shear data processing module 2
Wind shear information confirmed, judge whether export pre-warning signal.
The data acquisition module also includes boundary layer wind-profile radar 11, and the boundary layer wind-profile radar 11 is used to obtain
Take horizontal wind speed, horizontal wind direction and the vertical velocity data in the range of radar overhead 150m to 3000m.The data acquisition module
1 also includes at least two airfield runway wind sensors 12, the airfield runway wind sensor 12 be used to obtaining runway both ends and in
Between position ground instantaneous wind speed and instantaneous wind direction data.Wind shear data processing module 2 detects including wind shear informix
Module, the module include Horizontal consistency detection module, low latitude consistency detection module and vertical direction consistency detection module.
Wind shear data processing module 2 passes through runway wind orthogonal vectors decomposition, Horizontal consistency detection, low latitude consistency detection, vertical
Orientation consistency detection is handled, and exports wind shear information and internal system pre-warning signal.The output wind shear packet
Include time, position, intensity and the type information of wind shear generation.
To obtain high-resolution altitude wind field data, the generally use of boundary layer wind-profile radar 11 installed in airport is high
Mode of operation and low mode of operation.The high workload mode detection scope 600m to 3000m, range resolution ratio 120m；It is described low
Mode of operation investigative range 120m to 600m, range resolution ratio 60m.Boundary layer wind-profile radar obtains one group of thunder in 11 every 6 minutes
Horizontal wind speed, horizontal wind direction and vertical velocity data up to overhead different height, resulting boundary layer wind-profile radar data
Temporal resolution be 6 minutes.Airfield runway wind sensor obtains one group of instantaneous wind speed and instantaneous wind direction data in 12 every 1 minutes,
The temporal resolution of resulting airfield runway wind sensor detection data is 1 minute.
The present invention has been successfully applied in Shaanxi Xian Xianyang International Airport, by multiple wind shear synoptic process to we
The using effect of method is tested, and obtains higher accuracy rate.
Embodiment 1：On March 6th, 2013 low-level jet stream synoptic process
6 days 01 March in 2013:10 to 01:55, low-level jet stream process occurs for airport overhead.Radar overhead 600m positions go out
Existing high wind, instantaneous wind speed reach 32m/s, about 1 hour duration (as shown in Figure 4).To the North on airfield runway, middle-end,
Wind speed on south wind sensor, and boundary layer wind-profile radar 120m, 180m and 300m height is analyzed, such as Fig. 5 institutes
Show, low-level jet stream is 1:10 points start to have an impact in 300m high-altitudes, and passage has influence on ground over time, and 1:30 shadows
Sound airfield runway south wind sensor, 1:40 influence airfield runway middle-end wind sensor.
The wind shear data processing module low latitude consistency detection 1 of the present invention:10 produce wind shear early warning, Horizontal consistency
Detection 1:20 produce wind shear early warning, being capable of accurate wind shear weather caused by early warning low-level jet stream weather.
Embodiment 2：On April 29th, 2013 downburst synoptic process
29 days 4 April in 2013:40, present invention output vertical wind shear early warning.Analyze the horizontal wind data of wind profile radar
The discovery of (Fig. 5) and vertical velocity data (Fig. 6), 4:Before 40, more than 1000m height assemble down draft, 4:40 sinking gas
Ground motion is flowed to, directly influences ground.The vertical speed of the following height layers of boundary layer wind-profile radar 600m substantially increases
Greatly, represent that high-altitude precipitation reaches ground.The downburst synoptic process that may occur before starting to precipitation has carried out effective pre-
It is alert.
The wind shear data processing module vertical direction consistency detection of the present invention is 4:40 produce wind shear early warning, prompt
Atmospheric vertical velocity change exceedes system thresholds, being capable of accurate early warning wind shear weather as caused by downburst.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (11)
- A kind of 1. airport low detection method, it is characterised in that including：Step S01, boundary layer wind-profile radar data and airfield runway wind sensor data are gathered in real time, obtain wind field information；Step S02, according to the wind field information, extract and export wind shear information, when wind shear information exceedes system thresholds, Internal system pre-warning signal is triggered, wherein step S02's is implemented as：Step S021, runway wind orthogonal vectors are decomposed, and are according to parallel runways direction and vertical runway direction by horizontal wind data Being decomposed, conversion relational expression is as follows,<mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>V</mi> <mi>y</mi> </msub> <mo>=</mo> <mi>V</mi> <mo>&times;</mo> <mi>cos</mi> <mi>&theta;</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>V</mi> <mi>x</mi> </msub> <mo>=</mo> <mi>V</mi> <mo>&times;</mo> <mi>sin</mi> <mi>&theta;</mi> </mrow> </mtd> </mtr> </mtable> </mfenced>Wherein, θ is runway and the angle of direct north along clockwise direction, and V is instantaneous wind speed probe value, VyFor parallel runways side To wind speed, VxFor the wind speed in vertical runway direction；Step S022, result of calculation is stored using three-dimensional data structure, obtains three three-dimensional data structures, respectively parallel race Road wind speed Vy, vertical runway wind speed VxThe vertical velocity V on different height obtained with boundary layer wind-profile radarvertical；Step S023, system thresholds whether are exceeded to wind shear information and carry out comprehensive detection, including Horizontal consistency detection, low latitude Consistency detection and vertical direction consistency detection；The Horizontal consistency detection, is by the parallel runways wind speed V of at least two airfield runway wind sensorsyAnd vertical runway Wind speed VxContrasted, when the speed difference of the observation and the observation of other at least one that detect a certain equipment exceedes During system thresholds, then horizontal wind shear early warning is triggered；The low latitude consistency detection, it is by the flat of boundary layer wind-profile radar 180m, 240m, 300m, 360m, 420m, 600m Row runway wind speed VyWith vertical runway wind speed Vx, respectively the result of detection with least two airfield runway wind sensors contrasted, If certain one-time detection finds that speed difference exceedes system thresholds, low latitude horizontal wind shear early warning is triggered；The vertical direction consistency detection, it is the vertical velocity V of real-time detection boundary layer wind-profile radarverticalWith height The vertical velocity V of variation characteristic and different heightverticalCharacteristic is changed over time, when a certain variation characteristic exceedes system thresholds When, then trigger vertical direction wind shear early warning；Step S03, according to internal system pre-warning signal type and airport ground weather conditions parameter, judge whether to meet output in advance Alert signal conditioning, if so, then exporting pre-warning signal, otherwise judges that the internal system pre-warning signal does not form early warning, and return Step S01 continues data acquisition.
- 2. a kind of airport low detection method according to claim 1, it is characterised in that the PBL wind is wide The temporal resolution of line radar data is 6 minutes.
- A kind of 3. airport low detection method according to claim 1, it is characterised in that the airfield runway wind The temporal resolution of sensing data is 1 minute.
- A kind of 4. airport low detection method according to claim 1, it is characterised in that the three-dimensional data knot Three dimensions of structure are detecting devices dimension, time dimension and elevation dimension respectively；The detecting devices dimension includes four elements：Boundary layer wind-profile radar, airfield runway the North wind sensor, airport are run Road middle-end wind sensor and airfield runway south wind sensor；The time dimension uses the Unite States Standard time；The elevation dimension is by airfield runway wind sensor detection height and the detection elevation information group of boundary layer wind-profile radar Conjunction forms.
- A kind of 5. airport low detection method according to claim 1, it is characterised in that the output wind shear Information includes time, position, intensity and the type information that wind shear occurs.
- 6. a kind of airport low detection method according to claim 1, it is characterised in that the internal system is pre- Warning signal type is：The pre-warning signal of internal system first, by Horizontal consistency detection triggers, export at least two airfield runway wind sensings Device parallel runways wind speed VyWith vertical runway wind speed VxThe curve changed over time in special time；The pre-warning signal of internal system second, triggered by low latitude consistency detection result, the early warning of output boundary layer wind profile radar is high The parallel runways wind speed V spent on layeryWith vertical runway wind speed VxAt least two airfield runway wind sensor parallel runways wind speed Vy With vertical runway wind speed VxThe curve changed over time in special time；The pre-warning signal of internal system the 3rd, is triggered by vertical direction consistency detection result, and output boundary layer wind profile radar hangs down Straight wind speed VverticalWith the curve of height change in special time.
- A kind of 7. airport low detection method according to claim 1, it is characterised in that the airport ground day Gas condition parameter includes that low-level jet stream parameter, cold front pass by parameter and Convective Cloud passes by parameter.
- A kind of 8. airport low detection system, it is characterised in that including：Data acquisition module, it is used to gather boundary layer wind-profile radar data and airfield runway wind sensor data in real time, obtained To wind field information；Wind shear data processing module, it is used for according to the wind field information, extracts and exports wind shear characteristic information, when wind is cut When change information exceedes system thresholds, internal system pre-warning signal is triggered, wherein the wind shear data processing module is cut including wind Become informix detection module, and the wind shear informix detection module includes Horizontal consistency detection module, low latitude one Cause property detection module and vertical direction consistency detection module, wherein the Horizontal consistency detects, it is by least two airports The parallel runways wind speed V of runway wind sensoryWith vertical runway wind speed VxContrasted, when the observation for detecting a certain equipment When the speed difference of value and the observation of other at least one exceedes system thresholds, then horizontal wind shear early warning is triggered；The low latitude consistency detection, it is by the flat of boundary layer wind-profile radar 180m, 240m, 300m, 360m, 420m, 600m Row runway wind speed VyWith vertical runway wind speed Vx, respectively the result of detection with least two airfield runway wind sensors contrasted, If certain one-time detection finds that speed difference exceedes system thresholds, low latitude horizontal wind shear early warning is triggered；The vertical direction consistency detection, it is the vertical velocity V of real-time detection boundary layer wind-profile radarverticalWith height The vertical velocity V of variation characteristic and different heightverticalCharacteristic is changed over time, when a certain variation characteristic exceedes system thresholds When, then trigger vertical direction wind shear early warning；Wind shear warning data output module, it is used for according to internal system pre-warning signal type and airport ground weather conditions ginseng Number, judge whether to export pre-warning signal.
- A kind of 9. airport low detection system according to claim 8, it is characterised in that the data acquisition module Block also includes boundary layer wind-profile radar, and the boundary layer wind-profile radar is used to obtain radar overhead 150m to 3000m scopes Interior horizontal wind speed, horizontal wind direction and vertical velocity data.
- A kind of 10. airport low detection system according to claim 8 or claim 9, it is characterised in that the boundary layer Wind profile radar uses senior engineer's operation mode and low mode of operation；The high workload mode detection scope 600m to 3000m, range resolution ratio 120m；The low mode of operation investigative range 120m to 600m, range resolution ratio 60m.
- 11. a kind of airport low detection system according to claim 8 or claim 9, it is characterised in that the data are adopted Collection module also includes at least two airfield runway wind sensors, the airfield runway wind sensor for obtain runway both ends and in Between position ground instantaneous wind speed and instantaneous wind direction data.
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| CN106772387B (en) * | 2016-12-21 | 2019-06-14 | 中国航空工业集团公司雷华电子技术研究所 | A kind of wind shear recognition methods |
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| CN107563436B (en) * | 2017-08-30 | 2019-11-15 | 北京无线电测量研究所 | A kind of method and system of the automatic identification low-level jet stream on barb figure |
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| CN109324335B (en) * | 2018-12-17 | 2023-10-31 | 北京无线电测量研究所 | Method and system for identifying wind shear based on laser radar |
| CN110288856A (en) * | 2019-06-21 | 2019-09-27 | 中国民用航空总局第二研究所 | The Scheduled Flight monitoring system and method for fine forecast based on wind |
| CN110930639B (en) * | 2019-10-30 | 2021-06-22 | 南京航空航天大学 | Airborne wind shear alarm system and method for helicopter |
| CN111208534A (en) * | 2020-01-20 | 2020-05-29 | 安徽四创电子股份有限公司 | Method for joint detection and identification of wind shear by using laser radar and wind profile radar |
| CN111487596B (en) * | 2020-04-20 | 2022-06-21 | 航天新气象科技有限公司 | Wind field detection data fusion method and device and electronic equipment |
| CN111652435A (en) * | 2020-06-03 | 2020-09-11 | 上海眼控科技股份有限公司 | Wind shear prediction method, wind shear prediction device, computer equipment and readable storage medium |
| CN111967661B (en) * | 2020-08-11 | 2024-03-15 | 易天气(北京)科技有限公司 | Method, system, storage medium and equipment for deciding running direction of airport runway |
| CN114384607A (en) * | 2020-10-20 | 2022-04-22 | 江苏省气象台 | Airport low-altitude wind shear detection method |
| CN112835046B (en) * | 2021-01-07 | 2024-03-29 | 航天新气象科技有限公司 | BP environment perception-based wind profile radar self-adaptive detection method and system |
| CN113962462A (en) * | 2021-10-25 | 2022-01-21 | 中国科学院空天信息创新研究院 | Wind field stability prediction method and system based on convolutional neural network |
| CN114252938A (en) * | 2021-12-14 | 2022-03-29 | 航天新气象科技有限公司 | Wind shear alarm method and device |
| CN115755220B (en) * | 2022-10-21 | 2023-07-25 | 中国民用航空飞行学院 | Airport gust forecasting and correcting method based on combination of numerical simulation and deep learning |
| CN115862388A (en) * | 2022-11-29 | 2023-03-28 | 航天新气象科技有限公司 | Flight low-altitude wind shear early warning method, device, equipment and storage medium |
| CN115861811B (en) * | 2022-12-06 | 2023-06-20 | 中科三清科技有限公司 | Wind shear region identification method and device, storage medium and terminal |
| CN116629449A (en) * | 2023-06-16 | 2023-08-22 | 中国民航科学技术研究院 | Airport wind shear unsafe event model prediction method, device and storage medium |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US4763266A (en) * | 1982-12-27 | 1988-08-09 | The Boeing Company | Aircraft flight command and display system |
| US4831874A (en) * | 1987-10-16 | 1989-05-23 | Daubin Systems Corporation | Paradac wind measurement system |
| US4937447A (en) * | 1989-02-24 | 1990-06-26 | Allied-Signal Inc. | Air turbulence detection |
| CN101988963B (en) * | 2010-04-19 | 2012-09-26 | 南京恩瑞特实业有限公司 | Method for acquiring three-dimensional wind field by using wind profiler radar |
| CN102565771B (en) * | 2010-12-14 | 2013-08-28 | 中国航天科工集团第二研究院二十三所 | Single station wind profile radar-based wind shear identification and tracking method |
| CN104318067A (en) * | 2014-09-29 | 2015-01-28 | 中国商用飞机有限责任公司 | Wind shear detection method and device based on energy management |
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Effective date of registration: 20191218 Address after: 214000 28 Weiming Road, Binhu District, Wuxi City, Jiangsu Province Patentee after: Aerospace new weather Technology Co., Ltd Address before: 100854, 32, Yongding Road, 50, Beijing, Haidian District Patentee before: Beijing Institute of Radio Measurement |