CN114219151A - Adaptive general aviation emergency rescue meteorological guarantee system - Google Patents
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Abstract
The invention discloses a self-adaptive general aviation emergency rescue meteorological guarantee system, which comprises a front-end integrated control module and a rear-end large-scale processing module, and realizes the self-adaptive construction of a numerical forecasting system and the optimization of an optimal physical parameterization process by adopting a self-adaptive refined numerical forecasting system technology; the intelligent planning of the air route is realized by adopting an air route intelligent planning technology and an artificial intelligence mode and combining dangerous weather information, airport and take-off and landing platform information, terrain and barrier information and the like; the efficient parallel processing of the data is realized by adopting an efficient parallel data processing technology; by adopting a forecasting product release technology based on WEBGIS, the technologies of layer overlay display, seamless splicing, free dragging and the like of forecasting products on a map base map are realized, and a specialized navigation emergency rescue meteorological guarantee product is established based on the technologies so as to guarantee the operation safety and the operation efficiency of navigation emergency rescue.
Description
Technical Field
The invention relates to the technical field of emergency rescue, in particular to a self-adaptive universal aviation emergency rescue meteorological guarantee system.
Background
The existing aviation weather guarantee system mainly superimposes various weather information on a map base map in a map layer superposition mode, wherein the weather information mainly comes from weather observation data and global numerical model forecast products, and meanwhile, the display mode of the weather information is limited to the standard of public weather, and has great difference with the standard of aviation weather, such as: the cloud cover of aviation weather is eight-minute cloud cover, and the standard of public weather is ten-minute cloud cover; aeronautical weather mainly focuses on the change of meteorological elements on each vertical flight altitude layer, and the conventional aeronautical weather platform mainly focuses on the change of meteorological elements on each equal pressure surface such as 850hPa, 700hPa, 500hPa and the like commonly used by public weather; the existing aviation weather guarantee system only displays the basic position information of an airport, lacks the detailed distinction of a navigation airport according to civil aviation standards, and has insufficient description on the information of the airport; the existing aviation meteorological guarantee system has low intelligent degree, and the acquired information is single, so that the optimal air route cannot be intelligently planned; the existing aviation meteorological guarantee system has low data processing efficiency and cannot rapidly provide data support for each unit module; the forecast product of the conventional aviation weather guarantee system has a single display effect and cannot meet the use requirement.
Disclosure of Invention
The invention aims to provide a self-adaptive universal aviation emergency rescue meteorological guarantee system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the self-adaptive general aviation emergency rescue meteorological guarantee system comprises a front-end integrated control module and a rear-end large-scale processing module, wherein the front-end integrated control module and the rear-end large-scale processing module are in data connection.
Preferably, the rear-end large-scale processing module comprises a self-adaptive emergency rescue range dividing module, a multi-source meteorological data collecting and sorting module, a numerical mode pre-processing module, a rapid data assimilation module, a refined numerical forecast module, a numerical forecast rear-end correction module, a dangerous weather monitoring and forecasting algorithm module, a meteorological guarantee product efficient parallel processing module, an emergency rescue safe flight path intelligent planning module, a product and data storage module, an airport and take-off and landing platform information processing module, a terrain and obstacle module and a rescue unit information processing module, the self-adaptive emergency rescue range dividing module is respectively in data connection with the front-end integrated control module, the multi-source meteorological data collecting and sorting module, the numerical mode pretreatment module, the meteorological guarantee product efficient parallel processing module and the emergency rescue safe flight route intelligent planning module.
Preferably, the multi-source meteorological data collecting and sorting module is respectively in data connection with the numerical mode pretreatment module, the dangerous weather monitoring and forecasting algorithm module, the meteorological guarantee product efficient parallel processing module and the emergency rescue safe flight path intelligent planning module.
Preferably, the emergency rescue safe flight path intelligent planning module is respectively in data connection with the product and data storage module, the airport and take-off and landing platform information processing module, the terrain and obstacle module and the rescue unit information processing module.
Preferably, the numerical mode preprocessing module is in data connection with the rapid data assimilation module, the rapid data assimilation module is in data connection with the refined numerical prediction module, the refined numerical prediction module is in data connection with the numerical prediction rear-end correction module, the numerical prediction rear-end correction module is in data connection with the dangerous weather monitoring and prediction algorithm module, the dangerous weather monitoring and prediction algorithm module is in data connection with the weather guarantee product efficient parallel processing module, and the weather guarantee product efficient parallel processing module is in data connection with the product and the data storage module.
Preferably, the front-end integrated control module comprises a product display and release module, and the product display and release module is in data connection with the product and data storage module.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the self-adaptive refined numerical prediction system technology is adopted, so that the self-adaptive construction of the numerical prediction system is realized, and the optimization of the optimal physical parameterization process is realized; the intelligent planning of the air route is realized by adopting an air route intelligent planning technology and an artificial intelligence mode and combining dangerous weather information, airport and take-off and landing platform information, terrain and barrier information and the like; the efficient parallel processing of the data is realized by adopting an efficient parallel data processing technology; by adopting a forecasting product release technology based on WEBGIS, the technologies of layer overlay display, seamless splicing, free dragging and the like of forecasting products on a map base map are realized, and a specialized navigation emergency rescue meteorological guarantee product is established based on the technologies so as to guarantee the operation safety and the operation efficiency of navigation emergency rescue.
Drawings
FIG. 1 is a block diagram of the modules of the present invention;
FIG. 2 is a system flow diagram of the present invention;
in the figure: 1. a front end integrated control module; 100. a product display and release module; 2. a back-end large-scale processing module; 200. a self-adaptive emergency rescue range division module; 201. a multi-source meteorological data collecting and arranging module; 202. a numerical mode preprocessing module; 203. a fast data assimilation module; 204. a refined numerical forecasting module; 205. a numerical forecast rear end correction module; 206. a dangerous weather monitoring and forecasting algorithm module; 207. a high-efficiency parallel processing module for meteorological guarantee products; 208. an emergency rescue safe flight route intelligent planning module; 209. a product and data storage module; 210. the airport and take-off and landing platform information processing module; 211. a terrain and obstacle module; 212. and a rescue unit information processing module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention is shown: the self-adaptive general aviation emergency rescue meteorological guarantee system comprises a front-end integrated control module 1 and a rear-end large-scale processing module 2, wherein the front-end integrated control module 1 and the rear-end large-scale processing module 2 are in data connection; the rear-end large-scale processing module 2 comprises an adaptive emergency rescue range dividing module 200, a multi-source meteorological data collecting and sorting module 201, a numerical mode pre-processing module 202, a rapid data assimilation module 203, a refined numerical forecast module 204, a numerical forecast rear-end correction module 205, a dangerous weather monitoring and forecasting algorithm module 206, a meteorological guarantee product efficient parallel processing module 207, an emergency rescue safe flight path intelligent planning module 208, a product and data storage module 209, an airport and take-off and landing platform information processing module 210, a terrain and obstacle module 211 and a rescue unit information processing module 212, the self-adaptive emergency rescue range dividing module 200 is respectively in data connection with the front-end integrated control module 1, the multi-source meteorological data collecting and sorting module 201, the numerical mode pre-processing module 202, the meteorological guarantee product efficient parallel processing module 207 and the emergency rescue safe flight route intelligent planning module 208; the multi-source meteorological data collecting and sorting module 201 is respectively in data connection with the numerical mode preprocessing module 202, the dangerous weather monitoring and forecasting algorithm module 206, the meteorological guarantee product efficient parallel processing module 207 and the emergency rescue safe flight route intelligent planning module 208; the emergency rescue safe flight route intelligent planning module 208 is respectively in data connection with a product and data storage module 209, an airport and take-off and landing platform information processing module 210, a terrain and barrier module 211 and a rescue unit information processing module 212; the numerical mode preprocessing module 202 is in data connection with the rapid data assimilation module 203, the rapid data assimilation module 203 is in data connection with the refined numerical value prediction module 204, the refined numerical value prediction module 204 is in data connection with the numerical value prediction rear-end correction module 205, the numerical value prediction rear-end correction module 205 is in data connection with the dangerous weather monitoring and prediction algorithm module 206, the dangerous weather monitoring and prediction algorithm module 206 is in data connection with the weather guarantee product efficient parallel processing module 207, and the weather guarantee product efficient parallel processing module 207 is in data connection with the product and data storage module 209; the front-end integrated control module 1 includes a product display and distribution module 100, and the product display and distribution module 100 is connected to the product and data storage module 209.
The working principle is as follows: the system adopts a front-end and rear-end separation algorithm, and the rear end of the system adopts a high-performance computing server with the computing scale reaching 50 trillion times/second to complete the construction of a refined numerical forecasting system, complete the processing of all data and complete the realization of all algorithms; the front end adopts a VUE frame to realize the specialized display of all forecast products on a webpage end (APP end); when a major public safety event occurs, a user inputs information such as time and place of the event from a webpage end (APP end), the rear-end large-scale processing module 2 receives the information input by the front-end integrated control module 1, and the space range of emergency guarantee needs to be provided is automatically determined; meanwhile, aiming at the task guarantee area, the multi-source meteorological data collecting and sorting module 201 is automatically started, and the meteorological data is quickly collected and sorted; a refined numerical forecasting system integrating data collection, rapid data assimilation, numerical forecasting and numerical forecasting product rear end correction is built; monitoring and forecasting of navigation flying dangerous weather and rapid manufacturing of weather guarantee products are achieved, and flying weather files are generated; the intelligent planning of the emergency rescue safe flight route is realized by combining airport and take-off and landing platform information, multi-source meteorological data, terrain and barrier information, rescue unit information and the like; the system stores all products and data in a warehouse, and realizes the quick calling, display and release of all products at the front end according to the user request of the front end; the functions of the modules of the invention are as follows:
self-adaptive emergency rescue range partitioning module 200: determining the regional range of navigation emergency rescue force to be scheduled, the mode range of a refined numerical forecasting system and the like according to the occurrence information of the major public safety event input by the front end, and generating namelist from the information of position, time, resolution and the like so as to facilitate the calling of other functional modules;
the multi-source meteorological data collecting and arranging module 201: the method realizes the collection and arrangement of airport METAR reports, automatic weather stations, conventional weather stations, national high-altitude stations, national radar observation data, national satellite observation data and the like, and decodes, controls the quality, converts the format and the like of various observation data; the integration of the METAR report, the meteorological automatic observation data and the meteorological conventional observation data of the airport is realized; carrying out interpolation conversion on national high-altitude observation data according to a standard flight altitude layer to realize organic combination of the high-altitude observation data and actual operation of civil aviation; the real-time processing of the FY-4 satellite cloud picture is realized, the real-time drawing of the sunflower satellite cloud picture is realized, the real-time downloading and splicing of national radar puzzles are realized, and the like; the real-time collection and decoding of the TAF are realized; the collection of ECMWF weather forecast data and American global numerical forecast product GFS of a European middle-term numerical forecast center is realized, and the format conversion of ECMWRF and GFS data is realized; a high-order Lagrange interpolation method is adopted to realize the conversion of meteorological variables from meteorological coordinates to civil aviation height coordinates; processing ECMWRF and GFS data minute-level data by adopting a smooth time interpolation method;
numerical mode preprocessing module 202: constructing grid information and projection information of a numerical mode according to the emergency search and rescue range, constructing mode topographic data, performing format conversion on ECMWRF and GFS data, interpolating the data into a grid of the numerical mode, and generating a variable field matched with the numerical prediction mode;
the fast data assimilation module 203: in order to obtain a better assimilation effect, referring to a current international business numerical prediction method, adopting cyclic assimilation updating, selecting the first 6 hours of the system forecast starting time to carry out cyclic assimilation updating, wherein the updating time is 1 hour, and adopting a warm start mode in the assimilation updating process, namely, taking the last forecast field as an initial field at the current moment, wherein the initial field already contains characteristic quantities of cloud and water substances, which is very important for assimilation radar and satellite data, and when the assimilation mode is started in a cold start mode, the initial field does not contain the quantities of the cloud and the water substances; combining all warm start modes according to the frequency of 1 hour, and continuously forecasting each time, so as to realize cyclic assimilation forecasting of the process; in order to ensure that the mode forecast does not deviate from a large-scale environment field or a background field, cold start is required after a period of time of cyclic assimilation; therefore, in order to embody the complete daily change characteristics, the project design is subjected to cold start once after 24 hours, and meanwhile, considering that the convection activity is not active at night and the boundary layer is relatively stable, the cold start time is Beijing when 2 hours in the early morning;
the refined numerical forecasting module 204: the performance of refined numerical prediction has great dependence on a physical parameterization scheme; the physical parameterization scheme is mainly used for reasonably parameterizing processes which cannot be distinguished or directly represented by a mode grid, and a WRF mode comprises a plurality of physical options: cloud micro physical scheme, cloud accumulation parameterization scheme, long-wave radiation scheme, short-wave radiation scheme, boundary layer PBL turbulence scheme, surface layer and land surface process parameterization scheme, sub-grid scale diffusion scheme and the like; each physical process has a plurality of selectable parameterization schemes, and different combinations of the physical parameterization schemes are selected for different regions to directly influence the accuracy of numerical prediction; the module can automatically realize the selection of the optimal parameterization scheme combination, thereby ensuring the performance of numerical prediction;
numerical forecast back-end correction module 205: the statistical relationship between the real-time observation data and the forecast effect of the numerical forecast product is established by comprehensively utilizing an MOS method, a multiple linear regression method and the like; the forecasting effect of numerical forecasting is effectively corrected by using the measured data;
dangerous weather monitoring and forecasting algorithm module 206: developing a technology for diagnosing airplane bump and airplane ice accumulation set, developing a strong convection monitoring and early warning technology based on multi-source observation data, developing a radar echo extrapolation technology based on an optical flow algorithm, developing a typhoon forecast correction technology based on TC Bogus, developing a fog and low cloud identification technology based on satellite observation, developing a low-altitude wind shear identification algorithm, developing an instantaneous high wind influence diagnosis algorithm of terrain influence, developing a release technology of a numerical forecast product in the field of navigation and the like; the program implementation of the algorithm on a system platform is realized;
the high-efficiency parallel processing module 207 of the weather guarantee product: based on MPICH and FORTRAN programming languages, the design of a data parallel processing algorithm is realized, and large-scale parallel processing of data processing and product processing is realized;
the emergency rescue safe flight route intelligent planning module 208: selecting a navigation flight starting point, a navigation flight passing point and a navigation flight ending point on a map base map by a mouse point, and drawing a navigation map on the map; manually inputting a navigation flight starting point, a passing point and a terminal point, and drawing a navigation line graph on a map; self-defined flying height, flying speed, flying time and the like are supported; fusion of flight information and meteorological forecast information is realized by adopting a Lagrange mode, and the flight safety is guaranteed; the optimal flight route is comprehensively decided by adopting an artificial intelligence method in combination with dangerous weather information, airport and take-off and landing platform information, terrain and barrier information and the like;
airport and take-off and landing platform information processing module 210: collecting and sorting all airport information in the country; classifying airports according to transport airports and navigation airports; classifying the navigation airport into an A-type airport and a B-type airport according to whether the navigation airport is open to the public; the class A airports are further subdivided into class A1, class A2 and class A3 navigation airports according to the number of passengers carried by the aircrafts which are allowed to take off and land; the navigation airport is divided into a runway type airport, a helicopter airport, a water airport and the like according to the type of taking off and landing; the accurate position display of all airports on the map base map according to the classification and the display of relevant airport information (such as airport types, airport detailed addresses, airport contact calls and the like) on the map are realized;
terrain and obstacle module 211: processing high-resolution elevation data is realized, an elevation data block storage algorithm is developed, and grading sparse processing is performed on geographic elevation data according to the requirement of map scaling levels so as to ensure instantaneous transmission of geographic information big data from a background to a foreground; friendly display and accurate marking of typical obstacles on the map base map are realized;
rescue unit information processing module 212: processing information such as accurate position, contact telephone, rescue force and the like of an emergency rescue unit is realized;
product and data storage module 209: all products are stored according to a standard format, and a detailed database index is established, so that the front end can be conveniently and quickly called;
product display and release module 100: by adopting a VUE framework, the picture display function is realized through a webpage (APP), various weather guarantee products are completed, and the safe flight auxiliary decision-making product is displayed in the webpage (APP) end in the modes of pictures, numbers and the like, so that the automatic generation and downloading functions of the flight weather file and the auxiliary decision-making route planning file are realized.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. General aviation emergency rescue meteorological guarantee system of self-adaptation, including front end integrated control module (1) and rear end large-scale processing module (2), its characterized in that: and the front-end integrated control module (1) and the rear-end large-scale processing module (2) are in data connection.
2. The adaptive general aviation emergency rescue meteorological guarantee system of claim 1, wherein: the rear-end large-scale processing module (2) comprises a self-adaptive emergency rescue range dividing module (200), a multi-source meteorological data collecting and sorting module (201), a numerical mode pre-processing module (202), a quick data assimilation module (203), a refined numerical forecast module (204), a numerical forecast rear-end correction module (205), a dangerous weather monitoring and forecasting algorithm module (206), a meteorological guarantee product efficient parallel processing module (207), an emergency rescue safe flight path intelligent planning module (208), a product and data storage module (209), an airport and take-off and landing platform information processing module (210), a terrain and obstacle module (211) and a rescue unit information processing and processing module (212), wherein the self-adaptive emergency rescue range dividing module (200) is respectively connected with a front-end integrated control module (1), the multi-source meteorological data collecting and sorting module (201), The numerical mode preprocessing module (202), the weather guarantee product efficient parallel processing module (207) and the emergency rescue safe flight route intelligent planning module (208) establish data connection.
3. The adaptive general aviation emergency rescue meteorological guarantee system of claim 2, wherein: the multi-source meteorological data collecting and sorting module (201) is in data connection with the numerical mode pre-processing module (202), the dangerous weather monitoring and forecasting algorithm module (206), the meteorological guarantee product efficient parallel processing module (207) and the emergency rescue safe flight route intelligent planning module (208) respectively.
4. The adaptive general aviation emergency rescue meteorological guarantee system of claim 3, wherein: the emergency rescue safe flight path intelligent planning module (208) is respectively in data connection with a product and data storage module (209), an airport and take-off and landing platform information processing module (210), a terrain and obstacle module (211) and a rescue unit information processing module (212).
5. The adaptive general aviation emergency rescue meteorological guarantee system of claim 3, wherein: the numerical mode preprocessing module (202) is in data connection with the rapid data assimilation module (203), the rapid data assimilation module (203) is in data connection with the refined numerical value forecasting module (204), the refined numerical value forecasting module (204) is in data connection with the numerical value forecasting rear-end correction module (205), the numerical value forecasting rear-end correction module (205) is in data connection with the dangerous weather monitoring and forecasting algorithm module (206), the dangerous weather monitoring and forecasting algorithm module (206) is in data connection with the weather guarantee product efficient parallel processing module (207), and the weather guarantee product efficient parallel processing module (207) is in data connection with the product and data storage module (209).
6. The adaptive general aviation emergency rescue meteorological guarantee system of claim 1, wherein: the front-end integrated control module (1) comprises a product display and release module (100), and the product display and release module (100) is in data connection with a product and data storage module (209).
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111536386.4A CN114219151B (en) | 2021-12-15 | 2021-12-15 | Self-adaptive universal aviation emergency rescue weather protection system |
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| CN202111536386.4A CN114219151B (en) | 2021-12-15 | 2021-12-15 | Self-adaptive universal aviation emergency rescue weather protection system |
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| CN114219151A true CN114219151A (en) | 2022-03-22 |
| CN114219151B CN114219151B (en) | 2023-05-26 |
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