CN114219151B

CN114219151B - Self-adaptive universal aviation emergency rescue weather protection system

Info

Publication number: CN114219151B
Application number: CN202111536386.4A
Authority: CN
Inventors: 康贤彪; 宋海军; 刘云丰; 杨斌; 孟子靖
Original assignee: Civil Aviation Flight University of China
Current assignee: Civil Aviation Flight University of China
Priority date: 2021-12-15
Filing date: 2021-12-15
Publication date: 2023-05-26
Anticipated expiration: 2041-12-15
Also published as: CN114219151A

Abstract

The invention discloses a self-adaptive general aviation emergency rescue weather protection system, which comprises a front-end integrated control module and a rear-end large-scale processing module, wherein the self-adaptive construction of a numerical forecasting system is realized by adopting a self-adaptive refined numerical forecasting system technology, and the optimization of an optimal physical parameterization process is realized; by adopting an intelligent route planning technology and an artificial intelligent mode and combining dangerous weather information, airport and landing platform information, terrain, barrier information and the like, intelligent route planning is realized; by adopting the efficient parallel data processing technology, the efficient parallel processing of the data is realized; by adopting the WEBGIS-based forecast product release technology, the technologies of overlapping and displaying, seamless splicing, free dragging and the like of the forecast product on the map base map are realized, and based on the technologies, specialized navigation emergency rescue weather guarantee products are established to ensure the operation safety and the operation efficiency of navigation emergency rescue.

Description

Self-adaptive universal aviation emergency rescue weather protection system

Technical Field

The invention relates to the technical field of emergency rescue, in particular to a self-adaptive universal aviation emergency rescue weather protection system.

Background

The existing aviation weather support system mainly superimposes various weather information on a map base map in a layer superposition mode, the weather information mainly comes from weather observation data and a global numerical mode forecast product, and meanwhile, the display mode of the weather information is limited to public weather standards, and has great difference with the aviation weather standards, for example: the cloud cover of aviation weather is an eighth-system cloud cover, and the standard of public weather is a very-system cloud cover; aeronautical weather mainly focuses on the change of weather elements on each vertical flying height layer, while the existing aeronautical weather platform mainly focuses on the change of weather elements on various isobaric surfaces such as 850hPa,700hPa,500hPa and the like which are commonly used by public weather; the existing aviation weather protection system only displays the basic position information of the airport, lacks detailed distinction of the navigation airport according to civil aviation standards, and is not perfect in information description of the airport; the existing aviation weather protection system is low in intelligent degree, and an optimal route cannot be intelligently planned due to the fact that the acquired information is single; the existing aviation weather protection system has low data processing efficiency and can not rapidly provide data support for each unit module; the display effect of the forecast product of the existing aviation weather protection system is single, and the use requirement cannot be met.

Disclosure of Invention

The invention aims to provide a self-adaptive general aviation emergency rescue weather protection system so as to solve the problems in the background technology.

In order to achieve the above purpose, the present invention provides the following technical solutions: the self-adaptive general aviation emergency rescue weather protection system comprises a front-end integrated control module and a rear-end large-scale processing module, wherein the front-end integrated control module is in data connection with the rear-end large-scale processing module.

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 preprocessing module, a rapid data assimilating module, a refined numerical forecasting module, a numerical forecasting rear-end correcting module, a dangerous weather monitoring and forecasting algorithm module, a meteorological guarantee product efficient parallel processing module, an emergency rescue safe flight route 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, wherein the self-adaptive emergency rescue range dividing module is respectively connected with the front-end integrated control module, the multi-source meteorological data collecting and sorting module, the numerical mode preprocessing module, the meteorological guarantee product efficient parallel processing module and the emergency rescue safe flight route intelligent planning module.

Preferably, the multisource meteorological data collection and arrangement module is respectively connected with the numerical mode preprocessing module, the dangerous weather monitoring and forecasting algorithm module, the weather guarantee product efficient parallel processing module and the emergency rescue safety flight route intelligent planning module in a data connection mode.

Preferably, the emergency rescue safety flight route intelligent planning module is respectively connected with the product and data storage module, the airport and landing platform information processing module, the terrain and obstacle module and the rescue unit information processing module.

Preferably, the numerical mode preprocessing module establishes data connection with the rapid data assimilation module, the rapid data assimilation module establishes data connection with the refined numerical prediction module, the refined numerical prediction module establishes data connection with the numerical prediction back-end correction module, the numerical prediction back-end correction module establishes data connection with the dangerous weather monitoring and prediction algorithm module, the dangerous weather monitoring and prediction algorithm module establishes data connection with the weather guarantee product efficient parallel processing module, and the weather guarantee product efficient parallel processing module establishes 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 connected with the product and data storage module in a data manner.

Compared with the prior art, the invention has the beneficial effects that: the invention realizes the self-adaptive construction of the numerical forecasting system by adopting the self-adaptive refined numerical forecasting system technology, and realizes the optimization of the optimal physical parameterization process; by adopting an intelligent route planning technology and an artificial intelligent mode and combining dangerous weather information, airport and landing platform information, terrain, barrier information and the like, intelligent route planning is realized; by adopting the efficient parallel data processing technology, the efficient parallel processing of the data is realized; by adopting the WEBGIS-based forecast product release technology, the technologies of overlapping and displaying, seamless splicing, free dragging and the like of the forecast product on the map base map are realized, and based on the technologies, specialized navigation emergency rescue weather guarantee products are established to ensure the operation safety and the operation efficiency of navigation emergency rescue.

Drawings

FIG. 1 is a block diagram of a module of the present invention;

FIG. 2 is a system flow diagram of the present invention;

in the figure: 1. the front end integrated control module; 100. a product display and release module; 2. a back-end large-scale processing module; 200. the self-adaptive emergency rescue range dividing module; 201. the multisource meteorological data collection and arrangement module; 202. a numerical mode preprocessing module; 203. a rapid data assimilation module; 204. a refinement numerical forecasting module; 205. the numerical forecasting rear end correcting module; 206. dangerous weather monitoring and forecasting algorithm module; 207. the weather guarantee product efficient parallel processing module; 208. the emergency rescue safety flight route intelligent planning module; 209. a product and data storage module; 210. an airport and landing platform information processing module; 211. a terrain and obstacle module; 212. and the rescue unit information processing module.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1-2, an embodiment of the present invention is provided: the self-adaptive general aviation emergency rescue weather protection 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 back-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 preprocessing module 202, a rapid data assimilating module 203, a refined numerical forecasting module 204, a numerical forecasting back-end correcting module 205, a dangerous weather monitoring and forecasting algorithm module 206, a meteorological guarantee product efficient parallel processing module 207, an emergency rescue safety flight route intelligent planning module 208, a product and data storage module 209, an airport and take-off platform information processing module 210, a topography and barrier module 211 and a rescue unit information processing module 212, wherein the adaptive emergency rescue range dividing module 200 respectively establishes data connection with the front-end integrated control module 1, the multi-source meteorological data collecting and sorting module 201, the numerical mode preprocessing module 202, the meteorological guarantee product efficient parallel processing module 207 and the emergency rescue safety flight route intelligent planning module 208; the multisource meteorological data collection and arrangement module 201 is respectively connected 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 safety flight route intelligent planning module 208 in a data mode; the emergency rescue safe flight path intelligent planning module 208 is respectively connected 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; 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 prediction module 204, the refined numerical prediction module 204 is in data connection with the numerical prediction back-end correction module 205, the numerical prediction back-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 protection product efficient parallel processing module 207, and the weather protection 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 release module 100, and the product display and release module 100 is data-connected to a product and data storage module 209.

Working principle: the system adopts a front-end and back-end separation algorithm, the back end of the system adopts a high-performance calculation server with a calculation scale of 50 trillion times per second, the construction of a refined numerical forecasting system is completed, the processing of all data and data is completed, and the realization of all algorithms is completed; the front end adopts a VUE frame to realize specialized display of all forecast products at a webpage end (APP end); when a major public security event occurs, a user inputs information such as time, place and the like of the event occurrence from a webpage end (APP end), a rear-end large-scale processing module 2 receives the information input by a front-end integrated control module 1, and the space range needing to provide emergency guarantee is automatically determined; meanwhile, aiming at a task guarantee area, a multi-source meteorological data collecting and sorting module 201 is automatically started, so that rapid collecting and sorting of meteorological data is realized; a refined numerical forecasting system integrating data collection, rapid data assimilation, numerical forecasting and numerical forecasting product rear end correction is built; the method comprises the steps of realizing monitoring and forecasting of the navigation flying dangerous weather, rapidly manufacturing weather guarantee products, and generating flying weather files; the intelligent planning of the emergency rescue safe flight route is realized by combining airport and take-off and landing platform information, multisource meteorological data, terrain and obstacle information, rescue unit information and the like; the system stores all the products and data, and realizes quick calling, displaying and publishing of all the products at the front end according to the user request at the front end; the functions of each module of the invention are as follows:

adaptive emergency rescue scope 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 information such as position, time, resolution and the like into a namelist so as to facilitate the calling of other functional modules;

multisource meteorological data collection and arrangement module 201: the method realizes the collection and arrangement of airport METAR report, weather automatic station, weather conventional station, national high-altitude station, national radar observation data, national satellite observation data and the like, and decodes, quality control, format conversion and the like of various observation data; the fusion of the airport METAR report, the automatic meteorological observation data and the conventional meteorological observation data is realized; interpolation conversion is carried out on the national high-altitude observation data according to a standard flying height layer, so that the organic combination of the high-altitude observation data and the actual operation of civil aviation is realized; realizing the real-time processing of FY-4 satellite cloud pictures, realizing the real-time drawing of sunflower satellite cloud pictures, realizing the real-time downloading and splicing of national radar puzzles, and the like; realizing real-time collection and decoding of TAF report; the method has the advantages that the collection of ECMWF weather forecast data and the GFS of the global numerical forecast products in the European middle-term numerical forecast center is realized, and the format conversion of ECMWRF and GFS data is realized; the conversion of the meteorological variable from the meteorological coordinates to the civil aviation height coordinates is realized by adopting a high-order Lagrange interpolation method; adopting a smooth time interpolation method to realize processing of ECMWRF and GFS data minute-level data;

numerical mode preprocessing module 202: constructing grid information and projection information of a numerical mode according to an emergency search and rescue range, constructing mode terrain data, performing format conversion on ECMWRF and GFS data, interpolating the ECMWRF and GFS data to grids of the numerical mode, and generating a variable field matched with the numerical forecasting mode;

a rapid data assimilation module 203: in order to obtain a better assimilation effect, referring to the current international business numerical forecasting method, cyclic assimilation updating is adopted, the first 6 hours of the system forecasting starting time are selected for cyclic assimilation updating, the updating time is 1 hour, a warm starting mode is adopted in the assimilation updating process, namely, the last forecasting field is used as the initial field at the current moment, at the moment, the initial field already contains characteristic quantities of cloud and water substances, which are important for assimilating radar and satellite data, and when the assimilation mode is started by the cold starting mode, the initial field does not contain the cloud and water substances; combining the warm starting modes according to the frequency of 1 hour, and forecasting continuously for each time, so as to realize process cycle assimilation forecast; in order to ensure that the mode forecast does not deviate from a large-scale environment field or a background field, after a period of cyclic assimilation, cold start is needed; therefore, in order to embody the complete daily variation characteristic, the project design is to perform one-time cold start after 24 hours, and meanwhile, the night convection activity is considered to be inactive, the boundary layer is stable, and the cold start time is in Beijing time 2 in early morning;

refinement numerical forecasting module 204: the performance of refined numerical forecasting has great dependence on a physical parameterization scheme; the physical parameterization scheme is mainly used for reasonably parameterizing some processes which cannot be resolved or directly represented by a pattern grid, and the WRF pattern comprises a plurality of physical options: cloud micro-physics scheme, cloud accumulation parameterization scheme, long wave radiation scheme, short wave radiation scheme, boundary layer PBL turbulence scheme, surface layer, land process parameterization scheme, subgrid scale diffusion scheme and the like; each physical process has a plurality of optional parameterization schemes, and different combinations of the physical parameterization schemes are selected according to different areas, so that the accuracy of numerical forecasting is directly affected; the module can automatically select the optimal parameterization scheme combination, so that the numerical forecasting performance is ensured;

the numerical forecast backend correction module 205: utilizing real-time observation data, comprehensively utilizing a MOS method, a multiple linear regression method and the like, and establishing a statistical relationship between the same numerical forecasting effects of the product; the forecasting effect of numerical forecasting is effectively corrected by using measured data;

dangerous weather monitoring and forecasting algorithm module 206: developing a plane bump and plane ice accumulation set diagnosis technology, developing a strong convection monitoring and early warning technology based on multisource 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 a transient high wind influence diagnosis algorithm of topographic influence, developing a release technology of a numerical forecast product in the navigation field, and the like; program implementation of the algorithm on a system platform is realized;

weather assurance product efficient parallel processing module 207: based on MPICH and FORTRAN programming languages, the design of a data parallel processing algorithm is realized, and the large-scale parallel processing of data processing and product processing is realized;

emergency rescue safe flight path intelligent planning module 208: supporting the mouse point on the map base map to select navigation flight starting point, route point and terminal point, and drawing a navigation map on the map; supporting manual input of navigation flight starting points, route points and end points, and drawing a navigation chart on a map; supporting custom flight height, flight speed, flight time and the like; the Lagrangian mode is adopted to realize the fusion of the flight information and the weather forecast information, so that the flight safety is ensured; combining dangerous weather information, airport and landing platform information, terrain, obstacle information and the like, adopting an artificial intelligence method, and comprehensively deciding an optimal flight route;

airport and landing platform information processing module 210: collecting and sorting all airport information nationwide; classifying the airports according to the transportation airport and the navigation airport; dividing the navigable airport into an A-class airport and a B-class airport according to whether the navigable airport is open to the public; the class A airport is further subdivided into class A1, class A2 and class A3 navigation airports according to the passenger capacity of the allowed take-off and landing aircrafts; the navigation airports are divided into runway airports, helicopter airports, water airports and the like according to the take-off and landing types; the accurate position display of all airports on the map base map according to the classification is realized, and the display of relevant airport information (such as airport types, airport detailed addresses, airport contact phones and the like) on the map is realized;

terrain and obstruction module 211: processing of high-resolution elevation data is achieved, an elevation data block storage algorithm is developed, and grading sparse processing is conducted on the geographic elevation data according to the requirement of a map scaling level so as to ensure instantaneous transmission of geographic information big data from a background to a foreground; friendly display and accurate marking of typical barriers on a map base map are realized;

rescue unit information processing module 212: the processing of the information such as the accurate position, contact phone, rescue force and the like of the 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: the VUE framework is adopted, the picture display function is realized through a webpage (APP), various weather guarantee products are completed, and the safe flight auxiliary decision-making products are displayed at the webpage (APP) end in the modes of pictures, numbers and the like, so that the automatic generation and downloading functions of flight weather files and auxiliary decision-making route planning files 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 characteristics 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

1. The utility model provides a general aviation emergency rescue weather support system of self-adaptation, includes front end integrated control module (1) and rear end large-scale processing module (2), its characterized in that: the system comprises a front-end integrated control module (1) and a rear-end large-scale processing module (2), wherein the rear-end large-scale processing module (2) comprises a self-adaptive emergency rescue range dividing module (200), a multi-source weather data collecting and sorting module (201), a numerical mode preprocessing module (202), a rapid data assimilation module (203), a refined numerical forecasting module (204), a numerical forecasting rear-end correction module (205), a dangerous weather monitoring and forecasting algorithm module (206), a weather guarantee product efficient parallel processing module (207), an emergency rescue safe flight route intelligent planning module (208), a product and data storage module (209), an airport and take-off platform information processing module (210), a terrain and obstacle module (211) and a rescue unit information processing module (212), and the self-adaptive emergency rescue range dividing module (200) respectively establishes data connection with the front-end integrated control module (1), the multi-source weather 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); the numerical mode preprocessing module (202) constructs grid information and projection information of a numerical mode according to an emergency search and rescue range, constructs mode terrain data, carries out format conversion on ECMWRF and GFS data, interpolates the ECMWRF and GFS data into grids of the numerical mode, and generates a variable field matched with the numerical forecasting mode; the refined numerical forecasting module (204) can automatically select the optimal parameterization scheme combination, so that the numerical forecasting performance is ensured; the weather guarantee product high-efficiency parallel processing module (207) can realize the design of a data parallel processing algorithm and realize large-scale parallel processing of data processing and product processing; the multisource meteorological data collection and arrangement module (201) is respectively connected 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 safety flight route intelligent planning module (208) in a data mode; the emergency rescue safe flight route intelligent planning module (208) is respectively connected with the product and data storage module (209), the airport and take-off and landing platform information processing module (210), the terrain and obstacle module (211) and the rescue unit information processing module (212) in a data mode; 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 forecasting module (204), the refined numerical forecasting module (204) is in data connection with the numerical forecasting rear end correcting module (205), the numerical forecasting rear end correcting module (205) is in data connection with the dangerous weather monitoring forecasting algorithm module (206), the dangerous weather monitoring 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).

2. The adaptive general aviation emergency rescue weather protection 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 connected with the product and data storage module (209) in a data mode.