KR20110085205A - Display system for visualizing of weather information - Google Patents

Display system for visualizing of weather information Download PDF

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Publication number
KR20110085205A
KR20110085205A KR1020100004862A KR20100004862A KR20110085205A KR 20110085205 A KR20110085205 A KR 20110085205A KR 1020100004862 A KR1020100004862 A KR 1020100004862A KR 20100004862 A KR20100004862 A KR 20100004862A KR 20110085205 A KR20110085205 A KR 20110085205A
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KR
South Korea
Prior art keywords
climate data
unit
file
image
climate
Prior art date
Application number
KR1020100004862A
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Korean (ko)
Inventor
홍현표
Original Assignee
주식회사 에스비아이에스
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Priority to KR1020100004862A priority Critical patent/KR20110085205A/en
Publication of KR20110085205A publication Critical patent/KR20110085205A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image
    • G06T3/40—Scaling the whole image or part thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/17—Details of further file system functions
    • G06F16/178—Techniques for file synchronisation in file systems
    • G06F16/1794—Details of file format conversion
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/04—Changes in size, position or resolution of an image
    • G09G2340/045—Zooming at least part of an image, i.e. enlarging it or shrinking it

Abstract

The present invention is a beginner user who is unfamiliar with the syntax and functions of the software for processing climate data by automatically creating script files used for the software for processing climate data based on collected weather forecast data and automatically generating graphical meta information resources. The present invention relates to a display system for visualization of climate data, which enables them to easily process and visually display climate data. The climate data database stores climate data and the collected climate data in the climate data database. A database operation server that accesses climate data stored in a climate data database, and image display software for receiving climate data from the climate data database accessed through the database operation server and for visualizing climate data. To express the image file received from the climate data is characterized in that it comprises the climate data visualization server for output to the display.

Description

Display system for visualizing of weather data

The present invention relates to a display system for visualization of climate data, and in particular, by automatically creating script files used in the climate data processing software based on collected climate and weather forecast data and automatically generating graphical meta information resources. It is about a presentation system for visualization of climate data that allows novice users who are not familiar with the grammar and function of climate data processing software to easily process and visually display climate and weather data.

Conventional climate data processing software used to extract climate information from climate data required specialized program functionality to run the program.

The term scientific visualization tool is generally used for such software for processing climate and weather data. Examples of scientific visualization tools for processing climate and weather data include GrADS, Ncar, Graphics, and GMT. Here, the Grid Analysis and Display System (GrADS) not only supports climate data in various formats such as binary, GRIB, NetCDF, HDF, and BUFR, but also uses various built-in functions so that users can use the climate. It allows you to extract and visually display the desired climate information from the data. However, in order for the user to perform these various functions, the user should be familiar with the relevant programming language, including the various built-in functions and script writing as described above. Not only is it nearly impossible to deal with, but even for climate experts who are not familiar with programming, it was very difficult to process climate data directly using the software.

In particular, in view of the fact that recent climate data or weather forecast data are being traded commercially, climate information can be easily processed by overcoming the limitations of such data processing software and processing various types of climate data in a more convenient and simple way. Increasingly, the need for a system that allows for expression is increasing.

Accordingly, an object of the present invention is to provide a display system for the visualization of the climate data that allows the user to easily process and visually display the climate data.

In addition, the present invention provides a display system for visualization of climate data, which automatically creates script files used for climate data processing software and automatically generates graphical meta information resources based on collected climate prediction data. For the purpose of

In order to achieve the above object, the display system for the visualization of the climate data according to the present invention, the climate data database, the climate data is stored, and the collected climate data stored in the climate data database or stored in the climate data database A climate data storage management unit for accessing data and an image display software for receiving the climate data of the climate data database accessed through the climate data storage management unit and for visualizing the climate data are included to display image files from the received climate data. It characterized in that it comprises a climate data visualization for outputting the screen display.

In addition, the climate data visualization unit, an option selection unit for selecting the display option of the climate data, GS automatic generation unit for automatically generating a batch mode to display the display options of the climate data selected by the option selection unit, and the image Scientific visualization processing unit for converting the climate data received from the GS automatic generation unit into a file for generating an image file, including the display software, and an image file that receives the converted file of the scientific visualization processing unit and automatically generates an image file It characterized in that it comprises an automatic generation unit.

The option selection unit may include at least one of a metafile selection, a display type selection, a period selection, a latitude and longitude selection, an altitude selection, an interval selection, and a color chart selection.

In addition, the item of the expression type selection is characterized in that it comprises a contour (contour), shade (shade), time series.

In addition, the GS automatic generation unit, the option analysis unit for analyzing the option based on the option value selected by the option selection unit and the automation to generate an automated script file based on the options analyzed by the option analysis unit to send to the scientific visualization processing unit Characterized in that it comprises a script operation unit.

The scientific visualization processor may further include a meta file generator configured to generate a meta file using a grip file input from the GS automatic generator, and a result file by analyzing the meta file generated by the meta file generator. An analysis unit for generating a file, a file loader for loading an image file according to the result file generated by the analysis unit, an interface unit for inputting and outputting signals between the metafile generator, the analysis unit, and the file loader; And a screen processing unit for outputting an image file loaded in the file loader on a screen.

In addition, the input and output of the signal between the interface unit and the file loader is characterized in that the command or batch mode.

In addition, the information included in the meta file includes at least one of a GRIB file location, an index file location, a period, a variable such as temperature, precipitation, and altitude, a level (altitude), and a period value. It is characterized by.

The screen processor may further include an input unit to which the image file is input, an image format selector to select an image format including a size and a background color according to the image file input through the input unit, and an image format selector selected from the image format selector. And an image file adjusting unit for converting the image file according to the image format, and a screen output unit for outputting the image file adjusted by the image file adjusting unit to the screen.

The screen processor may further include a point selector configured to enlarge and reduce an image of a selected point by selecting a point of an image output to the screen output unit. The changed latitude and longitude are stored and used in the scientific visualization processing unit, and the enlargement and reduction of the image is output to the screen output unit based on the calculated value input to the scientific visualization processing unit.

According to the present invention, the user can easily process and visually display the climate data, thereby obtaining the desired climate data very easily.

In addition, according to the present invention, since the script files used for the climate data processing software are automatically generated based on the collected weather forecast data, and the graphical meta information resource is automatically generated, programming for the processing of the climate forecast data. Even without specialized knowledge of languages and software, it is easy to process and acquire climate forecasts.

1 is a block diagram of a display system for visualization of climate data according to an embodiment of the present invention
2 is a block diagram of a climate data visualization unit according to an embodiment of the present invention
3 is a flow chart showing the operation sequence of the climate data visualization unit according to FIG.
4 is a diagram illustrating a screen for selecting an expression option in FIG. 3.
FIG. 5 is a diagram illustrating a screen for inputting climate prediction metadata, a screen for automatically generating a GrADS Script (GS), and a screen for automatically generating a metafile for processing climate and weather data in FIG. 3.
6 is a diagram illustrating a process of generating an image file in the automatic image file generator of FIG.
FIG. 7 illustrates a GIF file automatically generated in FIG. 3. FIG.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings.

1 is a block diagram of a display system for visualizing the climate data according to an embodiment of the present invention.

Expression system for visualizing the climate data according to an embodiment of the present invention is composed of a climate data database 100, the climate data storage management unit 200, and the climate data visualization server 300, the climate data visualization server 300 ) Is again composed of climate data visualization and climate data presentation.

The climate data database 100 includes various climate data collected in formats such as binary, ASCII (.txt), GRIB1 (.grb1), GRIB2 (.grb2), and NetCDF (.nc). 300 is standardized and stored in a format (eg, GRIB1 (.grb1) and GRIB2 (.grb2)) that can be processed through a predetermined file conversion process.

The climate data storage management unit 200 manages the storage and access history of the climate data in addition to the function of the database management unit for accessing the climate data stored in the climate data database 100 and storing new climate data in the climate data database 100. It authenticates the user and manages the volume and processing session of the disk where the climate data database 100 is stored.

The climate data visualization unit 300 receives the climate data from the climate data database 100 accessed through the climate data storage management unit 200 to extract and visually display desired climate information.

The climate data display unit automatically generates a script by selecting options for driving the climate data visualization unit and inputs it to the climate data visualization unit, and converts and outputs graphic image data provided from the climate data visualization unit into a format desired by the user.

Meanwhile, in the present embodiment, the climate data visualization unit and the climate data display unit are implemented as separate software to configure one climate data visualization server 300. In another embodiment, the climate data visualization unit and the climate data display unit are provided. Naturally, the climate data visualization server 300 may be implemented in the form of a single software integrated into this one.

2 is a configuration diagram of the climate data visualization server 300 according to an embodiment of the present invention, the climate data visualization server 300 is an option selection unit 310, GS automatic generation unit 320, scientific visualization processing unit ( 330, an image file automatic generation unit 340 is configured. Here, the option selector 310, the scientific visualization processor 320, and the automatic image file generation unit 330 correspond to the functions of the climate data display unit of FIG. 1, and the scientific visualization processor 330 is the climate data visualization unit of FIG. 1. It corresponds to function.

The option selector 310 is a component for selecting options for processing and displaying climate data. The selection items included in the option selector 310 include the metafile type 311, the expression type 312, the period 313, the latitude and longitude 314, the level (elevation: 315), the interval 316, and the color. Chart 317 and the like.

Metafile type 311 specifies the type of metafile (eg, WMF (Windows Metafile), EMF (Enhanced Metafile), CGM (Computer Graphics Metafile), etc.) that the scientific visualization processor will process and store climate data data. will be. Since the metafile is stored by defining lines and planes in vector coordinates, the image file auto-generation unit 340 is freely enlarged and reduced in the future and is output regardless of the output device. The metafile includes information such as a GRIB file location, an index file location, a period, a variable (temperature, precipitation, altitude, wind, pressure field, etc.), a level (altitude), a period value, and the like.

The presentation type 312 is for selecting the type of image represented by the metafile selected in the metafile selection item. The items selected in the presentation type 312 item include contour, shade, time series, and the like. You can choose from a variety of other presentation types.

Period (313), Longitude (314), Level (Altitude: 315) The selection items are the period (year / month / day / hour ~ year / month / day / hour) subject to climate data processing, and the location of geographical location. This item selects the altitude of the geographic location.

Interval 316 selection refers to the sampling interval in the selection of the geographic location.

The color chart 317 selection is an item for selecting a background screen of a screen on which an image file is displayed or a color / monochrome of the screen.

GS automatic generation unit 320 is configured to include an option analysis unit 321, and an automated script operation unit 322.

The option analyzer 321 functions to analyze the option based on the option value selected by the option selector 310. That is, the metafile type 311, the expression type 312, the period 313, the latitude and longitude 314, the altitude (level: 315), the interval 316, and the color chart 317 of the option selector 310. When a selection for displaying an image file is made through an item or the like, a value selected from each item of the option selector 310 is input to the option analyzer 321. Then, the option analysis unit 321 performs an analysis operation according to the input value thus input, generates an option value and inputs it to the automated script operation unit 322.

The automation script operation unit 322 generates an automation script file GS based on the option value input through the option analysis unit 321, and inputs the generated automation script file to the scientific visualization processing unit 330.

The scientific visualization processor 330 includes a meta file generator 331, an analyzer 332, a file loader 333, an interface 334, and a screen processor 335.

The meta file generator 331 generates a meta file by using a grip (GRIB) file input from the GS automatic generator 320. In this case, the information included in the meta file includes at least one of a grip file location, an index file location, a period, variables such as temperature, precipitation, and altitude, and a duration value.

The analyzer 332 analyzes the metafile generated by the metafile generator 331 and generates a result file based on the analysis result of the metafile.

The file loader 333 loads an image file according to the result file generated by the analyzer 332.

The interface unit 334 allows input and output of signals between the meta file generator 331, the analyzer 332, and the file loader 333. Here, input and output of a signal to the file loader 333 of the interface unit 334 may be performed by a command method or a batch mode. In this embodiment, the input and output methods of the signal to and from the file loader 333 of the interface unit 334 are performed by the collective input method in the batch mode.

The screen processor 335 of the scientific visualization processor 330 may output an image file loaded by the file loader 333 on the screen. The screen processor 335 includes an input unit, an image format selection unit, an image file adjusting unit, and a screen output unit. The input unit functions to input an image file loaded by the file loader 333 of the scientific visualization processor 330. The image format selector may select an image format (GIF, JPEG, PNG, PS, etc.) including a size and a background color according to an image file input through the input unit. The image file adjusting unit converts the image file according to the image format selected by the image format selecting unit. The screen output unit 335a outputs an image file adjusted by the image file adjusting unit to the screen. That is, the user may visually check the climate data at various points through the image file output through the screen output unit 335a.

The screen processor may further include a point selector for selecting a point of an image output through the screen output unit 335a to enlarge and reduce an image of the selected point. In this case, the point selected by the point selector is changed to the latitude and longitude, and the changed latitude and longitude are stored and used in the scientific visualization processor 330, and the enlargement and reduction of the image made through the point selector is input to the scientific visualization processor 330. The screen may be output based on the calculated value.

FIG. 3 is a flowchart illustrating an operation sequence of the climate data visualization server according to FIG. 2. Referring to this, a process of automatically generating and displaying an image file in the climate data visualization server 300 will be described.

First, the option selection unit 310 of the climate data visualization server 300 selects the display option through the expression type 312 (S110, S120). 4 is a diagram illustrating a screen displayed for selecting an expression option in an expression type 312 item. In addition, after selecting the display option, the climate prediction metadata is created through the selection item of the option selection unit 310. Here, the climate prediction metadata includes the metafile type 311, the period 313, the latitude and longitude 314, the level (elevation: 315), the interval 316, and the culture chart 317 selected by the option selector 310. ), And the like. 5 is a diagram illustrating a display screen of the option selector 310 for creating climate prediction metadata.

Then, when the climate prediction metadata is created as described above, the GS automatic generation unit 320 generates the GS (S130.). The scientific visualization processor 330 creates a metafile for processing the climate and weather data (S140, S150). ). In FIG. 5, the lower right drawing illustrates an automated script file automatically generated by climate prediction metadata, and the left drawing shows meta data for processing climate and weather data generated by a scientific visualization processor based on the generated automated script file. An example of a file.

FIG. 6 is a view illustrating a process in which an image file is generated (S160 and S170) in the automatic image file generator 340 in FIG. 3, and FIG. 7 is a view illustrating a GIF file automatically generated in FIG. 3. The generation unit 340 generates a GIF file from meta files for processing climate and weather data, and the generated GIF file is displayed through the screen processing unit 335 (S180).

By the above configuration, the user can easily process and visually display the climate data through the climate data visualization server 300 to obtain the desired climate data very easily.

In addition, since the climate data visualization server 300 automatically generates script files used for the climate data processing software based on the collected climate prediction data and automatically generates graphic meta information resources, the processing of climate prediction data You can easily process and acquire climate forecasts even if you do not have expertise in programming languages and software.

In the above, the features of the present invention have been described through preferred embodiments of the present invention, but the scope of rights given by the present invention should not be limited thereto but should be determined by the appended claims, without departing from the scope of the claims. Various modifications and adaptations can be made by those skilled in the art.

100: climate data database 200: climate data storage management
210: History Manager 220: Auth Manager
300: climate data visualization unit 310: option selection unit
311: metafile selection 312: display type selection
313: period selection 314: latitude and longitude selection
315: Select level (altitude) 316: Select interval
317: color chart selection 320: GS automatic generation unit
321: option analysis unit 322: automated script control unit
330: Scientific visualization processor 331: Meta file generator
332: analysis unit 333: file loader
334: the interface unit 335: the screen processing unit
340: Automatic image file generation unit

Claims (10)

Climate data database where climate data is stored,
A climate data storage management unit for storing collected climate data in the climate data database or accessing climate data stored in the climate data database;
Climate data visualization that receives climate data from the climate data database accessed through the climate data storage management unit and includes image display software for visualizing the climate data, and outputs an image file from the received climate data for display. A presentation system for the visualization of climate data, comprising wealth. The method of claim 1, wherein the climate data visualization unit,
An option selector to select the display options for climate data,
GS automatic generation unit for automatically generating a batch mode by displaying the display options of the climate data selected in the option selection unit,
A scientific visualization processor including the image display software and converting climate data received from the GS automatic generation unit into a file for generating an image file;
And an image file automatic generation unit for receiving the converted file of the scientific visualization processing unit and automatically generating the image file as an image file. The method of claim 2,
The option selection unit may include at least one of a metafile selection, a display type selection, a period selection, a latitude and longitude selection, an altitude selection, an interval selection, and a color chart selection. The method of claim 3, wherein
The presentation type selection item includes a contour, a shade, a time series, and a presentation system for visualization of climate data. The method of claim 2,
The GS automatic generation unit, an option analysis unit for analyzing the option based on the option value selected by the option selection unit and an automated script operation unit for generating an automation script file based on the options analyzed by the option analysis unit to send to the scientific visualization processing unit Display system for the visualization of the climate data comprising a. The method of claim 2, wherein the scientific visualization processing unit,
A meta file generator for generating a meta file using a grip (GRIB) file input from the GS automatic generation unit;
An analyzer for analyzing the meta file generated by the meta file generator to generate a result file;
A file loader for loading an image file according to the result file generated by the analysis unit;
An interface unit for inputting and outputting signals between the metafile generator, the analyzer, and the file loader;
And a screen processing unit for outputting the image file loaded by the file loader on a screen. The method according to claim 6,
Input and output of the signal between the interface unit and the file loader is a command system or a display mode for the visualization of the climate data, characterized in that the method by the batch mode. The method of claim 7, wherein
The information included in the meta file includes at least one of a GRIB file location, an index file location, a period, temperature, precipitation, and altitude, variables (level, altitude), and duration value. Presentation system for visualization of climate data. The method of claim 6, wherein the screen processing unit,
An input unit to which the image file is input,
An image format selection unit for selecting an image format including a size and a background color according to the image file input through the input unit;
An image file adjusting unit for converting an image file according to the image format selected by the image format selecting unit;
And a screen output unit configured to output an image file adjusted by the image file adjusting unit to a screen. The method of claim 6 or 9,
The screen processing unit may further include a point selector that selects a point of an image output to the screen output unit to enlarge and reduce an image of the selected point, and the point selected by the point selector is changed to latitude and longitude. The changed latitude and longitude are stored and used in the scientific visualization processor, and the enlargement and reduction of the image is output to the screen output unit based on the calculated value input to the scientific visualization processor. Display system.
KR1020100004862A 2010-01-19 2010-01-19 Display system for visualizing of weather information KR20110085205A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101538936B1 (en) * 2013-11-07 2015-07-24 재단법인 한국형수치예보모델개발사업단 Visualization method of entire grid data of numerical weather prediction model having ultra-high grid resolution by magnification mode and hardware device performing the same
US9681287B2 (en) 2013-01-31 2017-06-13 Samsung Electronics Co., Ltd. Method for providing information in system including electronic device and information providing server, and electronic device thereof
KR102094716B1 (en) * 2019-08-22 2020-03-30 (주)비엔티 Multi-Platform Visualization System Utilizing Marine Big Data

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9681287B2 (en) 2013-01-31 2017-06-13 Samsung Electronics Co., Ltd. Method for providing information in system including electronic device and information providing server, and electronic device thereof
KR101538936B1 (en) * 2013-11-07 2015-07-24 재단법인 한국형수치예보모델개발사업단 Visualization method of entire grid data of numerical weather prediction model having ultra-high grid resolution by magnification mode and hardware device performing the same
KR102094716B1 (en) * 2019-08-22 2020-03-30 (주)비엔티 Multi-Platform Visualization System Utilizing Marine Big Data

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