CN108375806A - The acquisition methods and device of weather-map - Google Patents

Abstract

The application discloses a method and device for obtaining a weather map. The method includes: collecting a collection of meteorological information, wherein the collection of meteorological information includes multiple types of data, wherein the multiple types of data at least include: satellite data, radar networking data and weather forecast data; Types of data are converted into corresponding weather images according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images; a preset algorithm is used to display the weather image set to obtain a dynamic weather map. Through the present application, the problem in the related art that it is difficult to convert various collected meteorological data into a high-resolution dynamic weather map is solved.

Description

Method and device for obtaining weather map

technical field

The present application relates to the field of meteorological data processing, in particular, to a method and device for obtaining a weather map.

Background technique

In order to achieve precise positioning, coordination and fusion analysis of meteorological information and detailed power grid equipment information, spatially very fine meteorological information is required. At present, the general spatial resolution of the numerical forecast of the meteorological department is about 3km, and the resolution of radar observation data The rate is generally 1 km, but the radar observation data can only provide real-time observations and cannot provide forecasting capabilities. Therefore, it is necessary to combine radar observations with numerical forecasting, and convert large-scale, low-resolution forecast information into small-scale, high-resolution information. Combining such information with power grid equipment information is the core technology for whether the grid meteorological information platform can play an important role in actual business.

The above-mentioned small-scale and high-resolution meteorological data are often provided in grid form. WebGIS is currently a very widely used geographic information display technology. Displaying a large amount of dynamically changing grid information on webGIS is an important aspect of power grid platform construction. key. At present, there are many mature webgis technologies used to display a large amount of grid data, but these technologies are generally oriented to static data, such as high-precision terrain elevation data, complex 3D building models, etc. After these data are displayed on webgis, It exists as a static model and does not require real-time updates and redrawing. However, for gridded meteorological data with high frequency changes, the data needs to be re-rendered every 10 minutes. More importantly, in practical application scenarios, users need to quickly browse and play refined gridded weather data at different times It also needs to analyze the meteorological data around a certain power grid equipment in real time, which greatly exceeds the functional design of webgis for a large number of grid point data in the traditional sense.

Aiming at the problem that it is difficult to convert the collected meteorological data into a high-resolution dynamic weather map in related technologies, no effective solution has been proposed so far.

Contents of the invention

The main purpose of the present application is to provide a method and device for obtaining a weather map, so as to solve the problem in the related art that it is difficult to convert various collected weather data into a high-resolution dynamic weather map.

In order to achieve the above object, according to one aspect of the present application, a method for acquiring a weather map is provided. The method includes:

Collecting a collection of meteorological information, wherein the collection of meteorological information includes multiple types of data, wherein the multiple types of data at least include: satellite data, radar networking data and weather forecast data;

converting each type of data in the weather information set into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images;

A preset algorithm is used to display a set of weather images to obtain a dynamic weather map.

Further, using a preset algorithm to display the weather image set to obtain a dynamic weather map includes: performing full-scale display of the weather images in the weather image set to obtain a dynamic weather map.

Further, after displaying the weather images in the weather image collection in full to obtain the dynamic weather map, the method further includes: performing anti-aliasing processing on the dynamic weather map.

Further, after using a preset algorithm to display the set of weather images to obtain a dynamic weather map, the method further includes:

Determine the target position on the dynamic weather map;

Determine the target range according to the target position;

Obtain the color corresponding to the target position on the dynamic weather map;

Obtain meteorological data within the target range according to the color corresponding to the target position.

In order to achieve the above purpose, according to another aspect of the present application, a device for obtaining a weather map is provided. The unit includes:

The collection unit is used to collect a collection of meteorological information, wherein the collection of meteorological information includes multiple types of data, wherein the multiple types of data include at least: satellite data, radar networking data and weather forecast data;

The conversion unit converts each type of data in the weather information set into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images;

The display unit is used to display a collection of weather images by using a preset algorithm to obtain a dynamic weather map.

Further, the display unit includes a full-image display module, which is used for full-image display of the weather images in the weather image collection to obtain a dynamic weather map.

Further, the display unit also includes an anti-aliasing module for performing anti-aliasing processing on the dynamic weather map.

Further, the device also includes:

Target setting module: used to determine the target position on the dynamic weather map after displaying the set of weather images using a preset algorithm to obtain the dynamic weather map;

Range setting module: used to determine the target range according to the target position;

Matching module: used to obtain the color corresponding to the target position on the dynamic weather map;

Acquisition module: Acquire meteorological data within the target range according to the color corresponding to the target position.

In order to achieve the above object, according to another aspect of the present application, a storage medium is provided, and the storage medium includes a stored program, wherein the program executes any method for acquiring a weather map described above.

In order to achieve the above object, according to another aspect of the present application, a processor is provided, and the processor is used to run a program, wherein, when the program is running, any method for acquiring a weather map described above is executed.

Through this application, the following steps are adopted: collecting a collection of weather information, wherein the collection of weather information includes multiple types of data, wherein the multiple types of data include at least: satellite data, radar networking data and weather forecast data ; each type of data in the weather information set is converted into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes a variety of weather images; the weather image is displayed using a preset algorithm The image collection is used to obtain a dynamic weather map, which solves the problem that it is difficult to convert various collected meteorological data into a high-resolution dynamic weather map in related technologies. Furthermore, the effect of converting various meteorological data collected into a high-resolution dynamic weather map is achieved.

Description of drawings

The drawings constituting a part of the application are used to provide further understanding of the application, and the schematic embodiments and descriptions of the application are used to explain the application, and do not constitute an improper limitation to the application. In the attached picture:

Fig. 1 is a flowchart of a method for obtaining a weather map according to an embodiment of the present application; and

Fig. 2 is a schematic diagram of an apparatus for acquiring a weather map provided according to an embodiment of the present application.

Detailed ways

It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for the embodiments of the application described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

For ease of description, some nouns or terms involved in the embodiments of the present application are described below:

Anti-aliasing processing: Anti-aliasing processing is a technology used in digital signal processing to eliminate aliasing caused by representing high-resolution signals in low-resolution. It is usually used in digital photography, computer graphics and digital sound effects etc.

Below in conjunction with preferred implementation steps the present invention is described, Fig. 1 is the flow chart of the acquisition method of weather map according to the embodiment of the present invention, as shown in Fig. 1, this method comprises the following steps:

Step S101, collecting a set of weather information, wherein the set of weather information includes multiple types of data, wherein the multiple types of data include at least: satellite data, radar networking data, and weather forecast data;

For example, the satellite data is the live cloud top data collected by the satellite, the radar data is the water vapor live data collected by the radar, and the meteorological forecast data is the numerical model data, which is the meteorological data such as temperature, precipitation, humidity and wind force obtained by calculation and synthesis. Table 1 shows the attributes of satellite data, radar data and meteorological forecast data. It is necessary to quickly display these high-precision gridded meteorological data on webgis.

Table 1

serial number data name spatial resolution update frequency Data Dimension Size 1 satellite data 2.5km x 2.5km 15 minutes (2100, 2100) 2 Radar Networking Data 1km x 1km 6 minutes (800,800,20) 3 weather forecast data 1km x 1km 10 minutes (12, 500, 500, 34)

Therefore, how to display such dense (spatial and temporal) gridded data on webgis, and requires functions such as fast switching and infinite zooming?

Step S102, converting each type of data in the weather information set into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images;

Step S103, using a preset algorithm to display the set of weather images to obtain a dynamic weather map.

Optionally, in the method for obtaining a weather map provided in the embodiment of the present application, using a preset algorithm to display a set of weather images to obtain a dynamic weather map includes: performing full-scale display of the weather images in the weather image set to obtain a dynamic weather map .

For example, this application collects meteorological images on the front end of the server and displays high-definition full images according to the projection technology of webgis, which is different from the tile image cutting technology used by general webgis. The background batch produces a series of 256* images according to the zoom level. The 256-pixel small picture adopts full-image display. Compared with the tile image cutting technology, the efficiency is greatly improved, and when the image is displayed on the front end, it can be quickly switched and played, and there will be no asynchronous problems caused by tile image switching. , making the user experience better.

Although displaying a full image on webgis has the above obvious advantages, there is pixel loss in the zooming process of ordinary pictures, especially in the process of zooming in, there will be obvious "sawtooth" phenomenon.

Optionally, in the method for obtaining the weather map provided in the embodiment of the present application, the weather images in the weather image collection are displayed in full, and after the dynamic weather map is obtained, the method further includes: performing anti-aliasing processing on the dynamic weather map .

For example, in order to solve the "sawtooth" phenomenon, on the webgis framework of leaflet, the function is extended, and a canvas layer is added. Canvas is a graphics display technology based on html5, which itself has the image "anti-aliasing" function. This application will The combination of canvas and leaflet realizes the infinite zoom function of the full weather map.

In order to better realize the integration and analysis between location information and weather information, richer interaction and analysis capabilities are also needed. The interactive analysis between data is a long time-consuming and high-CPU work, which is generally handed over to the server for background execution. , and then back to the user frontend. Especially for the large-capacity meteorological data in this application, the computing resource consumption and time consumption generated by this background calculation are very large, which will inevitably cause operation delays, and thus will bring poor user operating experience.

Optionally, in the method for obtaining a weather map provided in the embodiment of the present application, after displaying the set of weather images using a preset algorithm to obtain a dynamic weather map, the method further includes: determining the target position on the dynamic weather map; Determine the target range according to the target position; obtain the color corresponding to the target position on the dynamic weather map; obtain the meteorological data within the target range according to the color corresponding to the target position.

For example, detailed power grid equipment information can be superimposed on a dynamic weather map. Users need to know the weather information of a certain grid equipment and its surrounding specific range, that is, lock the grid equipment. The location coordinates of , corresponding to a point on the dynamic weather map, which corresponds to a specific color value, since the color value and the original information of the meteorological data have formed a one-to-one mapping relationship through the color scale, we can quickly obtain the specific location, and we can get The meteorological information of this point and its surroundings will enable the interaction and analysis of meteorological data and other data.

The method for obtaining a weather map provided in an embodiment of the present application is to collect a set of weather information, wherein the set of weather information includes multiple types of data, wherein the multiple types of data include at least: satellite data, radar networking Data and meteorological forecast data; each type of data in the meteorological information set is converted into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images; preset The algorithm displays the set of meteorological images to obtain a dynamic weather map, which solves the problem in related technologies that it is difficult to convert various collected meteorological data into a high-resolution dynamic weather map. Furthermore, the effect of converting various meteorological data collected into a high-resolution dynamic weather map is achieved.

It should be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical order is shown in the flowcharts, in some cases, The steps shown or described may be performed in an order different than here.

The embodiment of the present application also provides a device for obtaining a weather map. It should be noted that the device for obtaining a weather map in the embodiment of the present application can be used to implement the method for obtaining a weather map provided in the embodiment of the present application. The apparatus for acquiring a weather map provided by the embodiment of the present application is introduced below.

Fig. 2 is a schematic diagram of an apparatus for obtaining a weather map according to an embodiment of the present application. As shown in Figure 2, the device includes:

The collection unit 10 is configured to collect a collection of meteorological information, wherein the collection of meteorological information includes multiple types of data, wherein the multiple types of data include at least: satellite data, radar networking data and weather forecast data;

The conversion unit 20 converts each type of data in the weather information set into a corresponding weather image according to the color scale to obtain a weather image set, wherein the weather image set includes multiple weather images;

The display unit 30 is configured to use a preset algorithm to display a set of weather images to obtain a dynamic weather map.

The acquisition device of the weather map provided in the embodiment of the present application collects the weather information set through the acquisition unit 10, and the conversion unit 20 converts each type of data in the weather information set into a corresponding weather image according to the color scale to obtain the weather image set and display The unit 30 uses a preset algorithm to display a set of weather images to obtain a dynamic weather map, which solves the problem in the related technology that it is difficult to convert the collected weather data into a high-resolution dynamic weather map, and then achieves the goal of combining the collected weather data into a high-resolution dynamic weather map. The effect of data conversion into high-resolution dynamic weather maps.

Optionally, in the apparatus for acquiring a weather map provided in the embodiment of the present application, the display unit includes a full-image display module, configured to display the weather images in the weather image collection in full-scale to obtain a dynamic weather map.

Optionally, in the apparatus for acquiring a weather map provided in the embodiment of the present application, the display unit further includes an anti-aliasing module, configured to perform anti-aliasing processing on the dynamic weather map.

Optionally, in the device for obtaining a weather map provided in the embodiment of the present application, the device further includes: a target setting module, configured to display the set of weather images by using a preset algorithm to obtain a dynamic weather map, The target position is determined on the dynamic weather map; the range setting module is used to determine the target range according to the target position; the matching module is used to obtain the color corresponding to the target position on the dynamic weather map; the acquisition module is based on The color corresponding to the target position acquires meteorological data within the target range.

An embodiment of the present invention provides a storage medium on which a program is stored, and when the program is executed by a processor, the method for obtaining the weather map is realized.

An embodiment of the present invention provides a processor, and the processor is used to run a program, wherein the method for obtaining the weather map is executed when the program is running.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

It should also be noted that the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes Other elements not expressly listed, or elements inherent in the process, method, commodity, or apparatus are also included. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

The above are only examples of the present application, and are not intended to limit the present application. For those skilled in the art, various modifications and changes may occur in this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims (10)

1. a kind of acquisition methods of weather-map, which is characterized in that include the following steps：

Acquire weather information set, wherein the weather information set includes a plurality of types of data, wherein the multiple types The data of type include at least：Satellite data, radar network composite data and meteorological prediction data；

Each type of data in the weather information set are converted into corresponding meteorological image according to color scale, obtain gas As image collection, wherein the meteorological image set includes a variety of meteorological images；

The meteorological image set is shown using preset algorithm, obtains dynamic weather-map.

2. according to the method described in claim 1, it is characterized in that, show the meteorological image set using preset algorithm, obtain Include to dynamic weather-map：Full figure is carried out to the meteorological image in the meteorological image set to show, obtains the dynamic gas As map.

3. according to the method described in claim 2, it is characterized in that, being carried out to the meteorological image in the meteorological image set complete Figure shows that after obtaining the dynamic weather-map, the method further includes：The dynamic weather-map is carried out at reverse sawtooth Reason.

4. according to the method described in claim 1, it is characterized in that, showing the meteorological image set using preset algorithm, After obtaining dynamic weather-map, the method further includes：

Target location is determined on the dynamic weather-map；

Target zone is determined according to the target location；

The corresponding color in the target location is obtained on the dynamic weather-map；

The meteorological data in the target zone is obtained according to the corresponding color in the target location.

5. a kind of acquisition device of weather-map, which is characterized in that including：

Collecting unit, for acquiring weather information set, wherein the weather information set includes a plurality of types of data, In, a plurality of types of data include at least：Satellite data, radar network composite data and meteorological prediction data；

Each type of data in the weather information set are converted to corresponding meteorological chart by converting unit according to color scale Picture obtains meteorological image set, wherein the meteorological image set includes a variety of meteorological images；

Display unit obtains dynamic weather-map for showing the meteorological image set using preset algorithm.

6. device according to claim 5, which is characterized in that the display unit includes full figure display module, for pair Meteorological image in the meteorological image set carries out full figure and shows, obtains the dynamic weather-map.

7. device according to claim 6, which is characterized in that the display unit further includes reverse sawtooth module, for pair The dynamic weather-map carries out reverse sawtooth processing.

8. device according to claim 5, which is characterized in that described device further includes：

Goal setting module, for showing the meteorological image set using preset algorithm, after obtaining dynamic weather-map, Target location is determined on the dynamic weather-map；

Range setting module, for determining target zone according to the target location；

Matching module, for obtaining the corresponding color in the target location on the dynamic weather-map；

Acquisition module, for obtaining the meteorological data in the target zone according to the corresponding color in the target location.

9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution Profit requires the acquisition methods of the weather-map described in any one of 1 to 4.

10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run Profit requires the acquisition methods of the weather-map described in any one of 1 to 4.