CN115082788B - Air pressure center identification method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a method and a device for identifying an air pressure center, electronic equipment and a storage medium, wherein the method comprises the following steps: respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and other closed isobaric lines except the closed isobaric line; respectively determining the line type of each closed isobaric line according to the corresponding incidence relation of each closed isobaric line; and identifying a high pressure center and a low pressure center in the isobaric diagram based on each closed isobaric line, the association relation corresponding to each closed isobaric line and the line type. The method and the device can directly identify the high-voltage center and the low-voltage center on the basis of the topological structure of the isobars in the meteorological chart, and the identification result is more intuitive. The method has wide application range, original air pressure data, station air pressure data and grid point air pressure data can all be used for identifying the air pressure center, large-scale parallel calculation can be carried out, the speed is high, and the accuracy is high.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to an air pressure center identification method and device, electronic equipment and a storage medium.
Background
The air pressure center is formed by the difference of sea-land thermal properties and the movement of an air pressure belt and an air pressure belt along with seasons, and the air pressure center is provided with a high pressure center and a low pressure center. The accurate identification of the air pressure center is of great significance to weather forecast, weather analysis and the like.
In the related technology, the air pressure value monitored by each meteorological station is obtained, the air pressure center is identified based on the geographical coordinates and the air pressure value of each meteorological station and discrete data points, the calculation speed is low, and the accuracy is low.
Disclosure of Invention
The application provides a method and a device for identifying an air pressure center, electronic equipment and a storage medium, wherein a high-voltage center and a low-voltage center are identified based on a topological structure of an isobaric line, large-scale parallel calculation can be performed, and the method and the device are high in speed and high in accuracy.
An embodiment of a first aspect of the present application provides an air pressure center identification method, including:
respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and other closed isobaric lines except the closed isobaric line;
respectively determining the line type of each closed isobaric line according to the incidence relation corresponding to each closed isobaric line, wherein the line type comprises an independent isobaric line or a non-independent isobaric line;
and identifying a high-pressure center and a low-pressure center in the isobaric graph based on each closed isobaric line, the incidence relation corresponding to each closed isobaric line and the line type.
In some embodiments of the present application, the determining, according to the association relationship corresponding to each closed isobaric line, a line category of each closed isobaric line includes:
if the incidence relation corresponding to the first closed isobaric line indicates that at least one closed isobaric line is contained in the first closed isobaric line and the first closed isobaric line is not contained in other closed isobaric lines, determining that the line type of the first closed isobaric line is a dependent isobaric line;
if the incidence relation corresponding to the first closed isobaric line indicates that the first closed isobaric line does not contain other closed isobaric lines and the first closed isobaric line is not contained by other closed isobaric lines, determining that the line type of the first closed isobaric line is an independent isobaric line;
wherein the first closed isobaric line is any closed isobaric line in the isobaric line diagram.
In some embodiments of the present application, the identifying, based on each closed isobar, the association relationship corresponding to each closed isobar, and the line category, a high pressure center and a low pressure center in the isobar map includes:
for the dependent isobars, determining each closed isobar contained in a region enclosed by the dependent isobars according to the association relation corresponding to the dependent isobars; identifying a high-voltage center or a low-voltage center corresponding to the dependent isobars according to the dependent isobars and the closed isobars contained in the dependent isobars;
and for the independent isobars, identifying high-voltage centers or low-voltage centers corresponding to the independent isobars according to the station air pressure data and the independent isobars.
In some embodiments of the present application, the identifying, according to the dependent isobars and the closed isobars included in the dependent isobars, a high voltage center or a low voltage center corresponding to the dependent isobars includes:
determining the shortest closed isobars from all closed isobars contained in the dependent isobars;
obtaining the coordinate value of each pixel point in the image area surrounded by the shortest closed isobars;
calculating the coordinate of the central point of the image area surrounded by the shortest closed isobaric line according to the coordinate value of each pixel point;
and determining the air pressure center at the coordinate of the central point as a high-pressure center or a low-pressure center according to the size relationship between the air pressure value of the non-independent isobaric line and the air pressure value of the shortest closed isobaric line.
In some embodiments of the present application, the identifying, according to the station air pressure data and the independent isobars, a high pressure center or a low pressure center corresponding to the independent isobars includes:
obtaining the coordinate value of each pixel point in the image area surrounded by the independent isobars;
calculating the coordinates of the central point of the image area surrounded by the independent isobars according to the coordinate values of each pixel point;
determining the air pressure values of a preset number of stations which are positioned outside the independent isobaric line and have a distance with the independent isobaric line greater than or equal to a preset distance from the station air pressure data;
and determining the air pressure center at the coordinate of the central point as a high pressure center or a low pressure center according to the size relationship between the air pressure values of the independent isobars and the air pressure values of the preset number of stations.
In some embodiments of the present application, the separately determining an association relationship between each closed isobar in the isobar graph and the other closed isobars except for the closed isobars includes:
projecting a first closed isobaric line and a second closed isobaric line into a preset single-channel image, wherein the first closed isobaric line is any closed isobaric line in the isobaric line graph, and the second closed isobaric line is any closed isobaric line except the first closed isobaric line;
judging whether the second closed isobaric line is located in an image area surrounded by the first closed isobaric line;
and if so, determining that the association relationship between the first closed isobaric line and the second closed isobaric line is an inclusion relationship.
In some embodiments of the present application, the determining whether the second closed isobaric line is located in an image area surrounded by the first closed isobaric line includes:
determining the coordinates of a growth point according to the coordinate values of pixel points on the first closed isobaric line, wherein the growth point is located in an image area surrounded by the first closed isobaric line;
judging whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobar or not according to the coordinate of the growth point;
if not, taking the neighborhood coordinate point as a new growth point, returning to judge whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobaric line for cyclic execution or not until each pixel point in an image area surrounded by the first closed isobaric line is traversed;
and if all the pixel points on the second closed isobars are pixel points in the image area surrounded by the first closed isobars, determining that the association relationship between the first closed isobars and the second closed isobars is an inclusion relationship.
An embodiment of a second aspect of the present application provides an air pressure center identification apparatus, including:
the incidence relation determining module is used for respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and other closed isobaric lines except the closed isobaric line;
the line type determining module is used for respectively determining the line type of each closed isobaric line according to the incidence relation corresponding to each closed isobaric line, and the line type comprises independent isobaric lines or non-independent isobaric lines;
and the air pressure center identification module is used for identifying a high pressure center and a low pressure center in the isobar chart based on each closed isobar, the incidence relation corresponding to each closed isobar and the line type.
Embodiments of the third aspect of the present application provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of the first aspect.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, the program being executable by a processor to implement the method of the first aspect.
The technical scheme provided in the embodiment of the application at least has the following technical effects or advantages:
in the embodiment of the application, the containing and contained relation between the closed isobars is determined based on the topological structure of the isobars, and then the independent isobars and the non-independent isobars are classified from all the closed isobars. And respectively identifying the air pressure centers corresponding to the independent isobars and the air pressure centers corresponding to the non-independent isobars. The application can directly identify the high-voltage center and the low-voltage center on the basis of the isobars in the meteorological chart, and the identification result is more intuitive. The method is wide in application range, no matter the original air pressure data, the station air pressure data or the air pressure data of the grid points, the air pressure center can be identified by the method, the isobaric line can be subjected to large-scale parallel calculation, the calculation speed is high, and the accuracy is high.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings.
In the drawings:
fig. 1 is a flow chart illustrating a method for identifying an air pressure center according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a projection of a closed isobar into a preset single-channel image according to an embodiment of the present application;
FIG. 3 is a schematic diagram showing that pixel points in an image area surrounded by the closed isobars in FIG. 2 are filled as pixel values of the pixel points on the closed isobars;
fig. 4 is a schematic structural diagram illustrating an air pressure center identification apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 6 shows a schematic diagram of a storage medium provided in an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical terms or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
An air pressure center identification method, an air pressure center identification device, an electronic apparatus, and a storage medium according to embodiments of the present application are described below with reference to the accompanying drawings.
The embodiment of the application provides an air pressure center identification method, which is used for identifying coordinates of all air pressure centers in an isobaric line graph and identifying whether the air pressure center is a high-pressure center or a low-pressure center based on a topological structure of the isobaric line. The high-voltage center and the low-voltage center can be directly identified on the basis of isobars in the meteorological chart, and the identification result is more intuitive. The method is wide in application range, no matter the original air pressure data, the station air pressure data or the air pressure data of the grid points, the method can be used for identifying the air pressure center, the isobaric line can be subjected to large-scale parallel calculation, the calculation speed is high, and the accuracy is high.
The method may be implemented by means of a computer program and may be run on a barometric pressure center identification device. The computer program may be integrated into the application or may run as a separate tool-like application. The air pressure center identification device in the embodiment of the present application may be a terminal, including but not limited to: personal computers, tablet computers, handheld devices, vehicle-mounted devices, wearable devices, servers and other processing devices. The terminal may be called a different name in different networks, for example: user equipment, access terminal, subscriber unit, subscriber station, mobile station, remote terminal, mobile device, user terminal, wireless communication device, user agent or user equipment, cellular telephone, cordless telephone, personal Digital Assistant (PDA), terminal equipment in a 5G network or future evolution network, and the like.
Referring to fig. 1, the method specifically includes the following steps:
step 101: and respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and the other closed isobaric lines except the closed isobaric line.
The isobologram can be an isobologram in a meteorological chart, and station barometric data monitored by a plurality of meteorological stations can also be acquired, and the station data are projected to the map according to the longitude and latitude of the geographic position of each meteorological station, so that the isobologram is drawn. In other implementation manners, some meteorological graphs have grids divided according to longitude and latitude, the air pressure data of each grid point is recorded, the air pressure data of the grid points can be obtained from the meteorological data, and isobars are drawn in the map according to the air pressure data of the grid points. The specific process of drawing the isobars can be performed by adopting a traditional drawing mode, and the detailed description is omitted.
And for each isobaric line drawn, storing the air pressure value of the isobaric line and the longitude and latitude coordinates of each point on the isobaric line.
After the isobologram is displayed through the display, a user can see that the isobologram comprises closed isobolograms and unclosed isobolograms. And each isobar is stored in the computer device in the form of a set of coordinate points. The device is pre-configured with a preset threshold value, and the preset threshold value is used for distinguishing closed isobars from non-closed isobars. For each isobar in the isobar graph, two endpoint coordinates which are farthest away are determined from the coordinate point set of the isobars, and the distance between the two endpoint coordinates is calculated. And if the distance is smaller than the preset threshold value, determining the isobaric line as a closed isobaric line. Otherwise, determining the isobars as unclosed isobars.
All the closed isobars in the isobars are determined through the method, and then the incidence relation between each closed isobar and the other closed isobars except the closed isobars is determined through the method of the step. The association relationship may include a containment relationship, a contained relationship, or a no-association relationship.
Since the process of determining the association relationship for each closed isobar is the same, the first closed isobar is taken as an example in the embodiment of the present application to describe in detail. The first closed isobar is any closed isobar in the isobar graph.
Specifically, a first closed isobaric line and a second closed isobaric line are projected into a preset single-channel image, and the second closed isobaric line is any closed isobaric line except the first closed isobaric line. And judging whether the second closed isobaric line is positioned in an image area surrounded by the first closed isobaric line. If so, determining that the association relationship between the first closed isobaric line and the second closed isobaric line is an inclusion relationship.
The preset single-channel image can be a pure black image or a pure white image. The preset single-channel image may have a resolution of 500 × 500 or 600 × 600, etc. With first closed isobaric line through the china ink card support projection mode projection to predetermineeing on the single channel picture, the china ink card holds in the palm the projected characteristics for warp and weft project to the image on be vertically, moreover between warp and the warp and between weft and the weft all be parallel, this kind of projection mode makes the isobaric line only can stretch in the vertical direction, but excessive deformation can not appear, can not influence the topological structure between the isobaric line.
In this embodiment of the application, if it is pure black image to predetermine single channel image, then the pixel value of isobar line position after the projection is 255, and the pixel value of other positions is 0, can regard the upper left corner summit of predetermineeing single channel image as the original point, and the long limit of using predetermineeing single channel image is the x axle, uses the broadside as the y axle, and image coordinate original point and coordinate axis also can be other forms, enumerates here one by one. Fig. 2 shows a schematic diagram of a preset single-channel image.
After the first closed isobaric line is projected into a preset single-channel image, an image area surrounded by the first closed isobaric line is determined at first. The image area surrounded by the first closed isobars is determined by adopting a seed growing algorithm. Firstly, determining the coordinates of a growth point according to the coordinate values of pixel points on a first closed isobaric line, wherein the growth point is positioned in an image area surrounded by the first closed isobaric line.
In one implementation, a vertical coordinate of each pixel point on the first closing isobaric line is obtained, a maximum vertical coordinate y _ max and a minimum vertical coordinate y _ min are determined from the vertical coordinate of each pixel point, and y _ middle = (y _ max + y _ min)/2 is calculated. If the calculated y _ middle is not an integer, then the rounding is done down. Traversing each pixel point in the pixel row corresponding to the vertical coordinate y _ middle from left to right, judging whether the coordinate of the currently traversed pixel point is the coordinate of the pixel point on the first closed isobar, if so, stopping traversing, and recording the coordinate of the currently traversed pixel point as (x, y _ middle). And translating the obtained point (x, y _ middle) to the right by a preset number of pixel points to obtain the coordinate (x +3, y _middle) of the growing point.
Or traversing each pixel point in a pixel row corresponding to the y _ middle coordinate from right to left, stopping traversing when the current pixel point is the pixel point on the first closed isobar, and translating the coordinate of the current pixel point to the left by a preset number of pixel points to obtain the coordinate of the growth point (x-3, y_middle).
In other embodiments, the preset single-channel image is a pure black image, and the pixel point projected onto the first closed isobar on the preset single-channel image is white, in this case, when each pixel point in the pixel row corresponding to the traversal vertical coordinate y _ middle is reached, if the pixel value of the currently traversed pixel point is 255, it indicates that the pixel point is the pixel point on the first closed isobar, and at this time, the traversal is stopped, so as to obtain the coordinate (x, y _ middle).
And if the preset single-channel image is a pure white image, the pixel point projected on the first closed isobar on the preset single-channel image is black, under the condition, when each pixel point in the pixel row corresponding to the traversal vertical coordinate y _ middle is traversed, if the pixel value of the currently traversed pixel point is 0, the pixel point is indicated to be the pixel point on the first closed isobar, and the traversal is stopped at the moment, so that the coordinate (x, y _ middle) is obtained.
After the pixel points (x, y _ middle) on the first closed isobar are traversed, the pixel points are translated towards the image area enclosed by the first closed isobar by the preset number, so that the obtained growing points (x-3, y _ middle) are always in the image area enclosed by the first closed isobar.
And then judging whether the neighborhood coordinate point of the growing point is a pixel point on the first closed isobar or not according to the coordinate of the growing point. Specifically, starting from the growth point, a neighborhood coordinate point of the growth point is searched, and specifically, a 4 neighborhood coordinate point or an 8 neighborhood coordinate point of the growth point may be searched. And judging whether each neighborhood coordinate point of the growing point is a pixel point on the first closed isobar. One way, it may be determined whether the coordinates of the neighborhood coordinate points belong to a set of coordinate points of the first closed isobar, and if so, it is determined that the neighborhood coordinate points are pixel points on the first closed isobar. Otherwise, the neighborhood coordinate point is a pixel point in the image area enclosed by the first closed isobars. In another mode, whether the pixel value of the neighborhood coordinate point is the same as the pixel value of the pixel point on the first closed isobar can be judged, and if so, the neighborhood coordinate point is determined to be the pixel point on the first closed isobar. Otherwise, the neighborhood coordinate point is a pixel point in the image area enclosed by the first closed isobars.
And for the neighborhood coordinate point in the image area defined by the first closed isobaric line, taking the neighborhood coordinate point as a new growth point, returning to judge whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobaric line for executing circulation until each pixel point in the image area defined by the first closed isobaric line is traversed.
After each pixel point in the image area surrounded by the first closed isobars is determined in the above mode, the determined pixel value of each pixel point can be modified into the pixel value of the pixel point on the first closed isobars. For example, the pixel value of the pixel point on the closed isobar shown in fig. 2 is 255, and after each pixel point in the image region surrounded by the closed isobar is determined, the pixel value of each determined pixel point is modified from 0 to 255, and the modified pixel value is as shown in fig. 3.
The image area surrounded by the first closed isobars is determined through the method, then the second closed isobars are projected to the preset single-channel image in the same projection mode, and the second closed isobars are any closed isobars except the first closed isobars. And judging the relationship between the position of the second closed isobaric line and the position of the first closed isobaric line. Specifically, if all the pixel points on the second closed isobars are pixel points in the image area surrounded by the first closed isobars, it is determined that the association relationship between the first closed isobars and the second closed isobars is an inclusion relationship.
In one mode, if the coordinate values of all the pixel points on the second closed isobar are the coordinates in the image area surrounded by the first closed isobar, it is determined that the association relationship between the first closed isobar and the second closed isobar is an inclusion relationship. In another mode, if the pixel values of all the pixel points on the second closed isobar are the same as the pixel values of the pixel points in the image area surrounded by the first closed isobar, it is determined that the association relationship between the first closed isobar and the second closed isobar is an inclusion relationship. For example, the second closed isobars are projected to the preset single-channel diagram shown in fig. 3, and if the pixel values of the pixel points on the second closed isobars are also 255, it indicates that the second closed isobars are located in the image area surrounded by the first closed isobars.
After the incidence relation between the first closed isobaric line and the second closed isobaric line is determined through the mode, the included attribute of the second closed isobaric line can be marked. And for each other closed isobaric line except the first closed isobaric line and the second closed isobaric line, projecting the other closed isobaric lines into a preset single-channel image according to the mode, and determining whether each other closed isobaric line is located in an image area surrounded by the first closed isobaric line.
All the closed isobars contained in the first closed isobars can be determined through the method, the contained attribute can be marked for each closed isobar contained in the image area surrounded by the first closed isobars, and the set of all the closed isobars contained in the first closed isobars is stored.
The incidence relation between each closed isobaric line and other closed isobaric lines in the isobaric line graph is determined through the method, the incidence relation can include other closed isobaric lines for the closed isobaric lines, or the closed isobaric lines are included by other closed isobaric lines, or the closed isobaric lines do not include other closed isobaric lines and are not included by other closed isobaric lines.
Step 102: and respectively determining the line type of each closed isobaric line according to the corresponding incidence relation of each closed isobaric line, wherein the line type comprises an independent isobaric line or a non-independent isobaric line.
Since the process of determining the line type of each closed isobaric line is the same, the embodiment of the present application takes the first closed isobaric line as an example, and the first closed isobaric line is any closed isobaric line in an isobaric diagram.
Specifically, whether the first closed isobaric line contains other closed isobaric lines or not and whether the first closed isobaric line is contained by other closed isobaric lines or not are judged according to the incidence relation between the first closed isobaric line and each other closed isobaric line. And if the incidence relation corresponding to the first closed isobaric line indicates that the first closed isobaric line comprises at least one closed isobaric line and the first closed isobaric line is not contained by other closed isobaric lines, determining that the line type of the first closed isobaric line is the dependent isobaric line. Namely, the non-independent isobars are the closed isobars positioned at the outermost circle in a group of sequentially nested closed isobars.
And if the association relation corresponding to the first closed isobaric line is judged to indicate that the first closed isobaric line does not contain other closed isobaric lines, and is not contained by other closed isobaric lines, determining that the line type of the first closed isobaric line is the independent isobaric line. Namely, the independent isobars are closed isobars which have no containing and contained relation with other closed isobars.
Step 103: and identifying a high pressure center and a low pressure center in the isobaric diagram based on each closed isobaric line, the association relation corresponding to each closed isobaric line and the line type.
All closed isobars have air pressure centers, and the key is to identify the coordinates of the air pressure centers and identify whether the air pressure centers are high-pressure centers or low-pressure centers. The embodiment of the application identifies the non-independent isobars and the independent isobars in different modes respectively.
For the dependent isobars, determining all closed isobars contained in a region surrounded by the dependent isobars according to the corresponding incidence relation of the dependent isobars; and identifying a high-voltage center or a low-voltage center corresponding to the non-independent isobars according to the non-independent isobars and the closed isobars contained in the non-independent isobars.
According to the incidence relation between the dependent isobars and each other closed isobars, all closed isobars contained in the dependent isobars can be determined, and the shortest closed isobars are determined from all closed isobars contained in the dependent isobars. The shortest closed isobaric line is a closed isobaric line at the innermost layer in a group of sequentially nested closed isobaric lines contained in the dependent isobaric line.
The coordinate value of each pixel point in the image area surrounded by the shortest closed isobar is obtained, and the specific obtaining process is the same as the process of determining the coordinate value of each pixel point in the image area surrounded by the first closed isobar in step 102, and is not described herein again.
And calculating the coordinates of the central point of the image area surrounded by the shortest closed isobars according to the coordinate values of all pixel points in the image area surrounded by the shortest closed isobars. Specifically, an average value of a balance coordinate of each pixel point in an image area surrounded by the shortest closed isobars is calculated, and an average value of a vertical coordinate of each pixel point is calculated. And taking a coordinate formed by the average value of the equilibrium coordinates and the average value of the vertical coordinates as a central point coordinate of an image area surrounded by the shortest closed isobaric line, wherein the central point coordinate is an air pressure center.
And determining the air pressure center at the coordinate of the central point as a high-pressure center or a low-pressure center according to the size relationship between the air pressure value of the non-independent isobaric line and the air pressure value of the shortest closed isobaric line. Specifically, the magnitude relation between the air pressure value of the shortest closed isobar and the air pressure value of the dependent isobar is judged, if the air pressure value of the shortest closed isobar is greater than the air pressure value of the dependent isobar, the air pressure center at the coordinate of the central point is a high pressure center, and otherwise, the air pressure center is a low pressure center.
And for the independent isobars, identifying high-voltage centers or low-voltage centers corresponding to the independent isobars according to the station air pressure data and the independent isobars.
The coordinate value of each pixel point in the image area surrounded by the independent isobars is obtained, and the specific obtaining process is the same as the process of determining the coordinate value of each pixel point in the image area surrounded by the first closed isobars in step 102, and is not described herein again. And calculating the coordinates of the central point of the image area surrounded by the independent isobars according to the coordinate value of each pixel point, wherein the calculation process is the same as the calculation method of the coordinates of the central point under the condition of the non-independent isobars, and the description is omitted here.
And acquiring station air pressure data monitored by all meteorological stations at the corresponding time of the independent isobaric line, and projecting the station air pressure data to a preset single-channel image where the independent isobaric line is located in a mercator delivery mode. And determining the air pressure values of the stations which are positioned outside the independent isobaric line and have the distance with the independent isobaric line greater than or equal to the preset distance in the air pressure data of all the stations after projection.
The distance between the station pressure data and the independent isobar may be the minimum value of the longitude and latitude coordinates of the meteorological station corresponding to the station pressure data and the distances between all coordinate points on the independent isobar. Accordingly, the preset distance is a geographical distance. The distance between the station air pressure data and the independent isobaric line can also be the minimum value between the pixel distance of the station air pressure data in a preset single-channel image and the pixel distance of all pixel points on the independent isobaric line. Accordingly, the preset distance is a pixel distance, such as a distance of 10 pixels or a distance of 15 pixels. The predetermined number may be 5, 8, 10, etc.
And determining the air pressure center at the coordinate of the central point as a high pressure center or a low pressure center according to the size relationship between the air pressure values of the independent isobars and the air pressure values of the preset number of stations. Specifically, the relationship between the air pressure value of the independent isobar and the air pressure value of each station in the preset number of stations may be determined, and if the air pressure value of the independent isobar is greater than the air pressure values of at least M stations, the air pressure center at the coordinate of the central point in the independent isobar is determined to be the high pressure center. And if the air pressure value of the independent isobaric line is smaller than the air pressure values of at least M stations, determining the air pressure center at the coordinate position of the central point in the independent isobaric line as a low-pressure center. Wherein M is an integer greater than or equal to a predetermined number and less than or equal to the predetermined number. The set number may be 3, 4, or 5, etc.
The air pressure value of the stations with the preset number and the distance greater than or equal to the preset distance outside the independent isobaric line is used for identifying whether the air pressure center in the independent isobaric line is a high-pressure center or a low-pressure center, so that the influence of boundary deviation caused by smooth operation of the isobaric line in the process of drawing the isobaric line is avoided, and the accuracy of identifying the air pressure center in the independent isobaric line is improved.
In the embodiment of the application, the containing and contained relation between the closed isobars is determined based on the topological structure of the isobars, and then the independent isobars and the non-independent isobars are classified from all the closed isobars. And respectively identifying the air pressure centers corresponding to the independent isobars and the air pressure centers corresponding to the non-independent isobars. The application can directly identify the high-voltage center and the low-voltage center on the basis of the isobars in the meteorological chart, and the identification result is more intuitive. The method is wide in application range, no matter the original air pressure data, the station air pressure data or the air pressure data of the grid points, the method can be used for identifying the air pressure center, the isobaric line can be subjected to large-scale parallel calculation, the calculation speed is high, and the accuracy is high.
The embodiment of the application provides an air pressure center identification device, which is used for executing the air pressure center identification method provided by any one of the embodiments. As shown in fig. 4, the apparatus includes:
an association relation determining module 201, configured to determine an association relation between each closed isobar in the isobar graph and other closed isobars except for the closed isobars;
the line type determining module 202 is configured to determine a line type of each closed isobaric line according to an association relationship corresponding to each closed isobaric line, where the line type includes an independent isobaric line or a non-independent isobaric line;
and the air pressure center identification module 203 is used for identifying a high pressure center and a low pressure center in the isobaric graph based on each closed isobaric line, the association relation corresponding to each closed isobaric line and the line type.
The line type determining module 202 is configured to determine that a line type of the first closed isobaric line is a dependent isobaric line if an association relationship corresponding to the first closed isobaric line indicates that the first closed isobaric line includes at least one closed isobaric line and the first closed isobaric line is not included by other closed isobaric lines; if the incidence relation corresponding to the first closed isobaric line indicates that the first closed isobaric line does not contain other closed isobaric lines and the first closed isobaric line is not contained by other closed isobaric lines, determining the line type of the first closed isobaric line as an independent isobaric line; the first closed isobaric line is any one closed isobaric line in an isobaric diagram.
The air pressure center identification module 203 is used for determining each closed isobar contained in an area enclosed by the dependent isobars according to the corresponding incidence relation of the dependent isobars; identifying a high-voltage center or a low-voltage center corresponding to the non-independent isobars according to the non-independent isobars and the closed isobars contained in the non-independent isobars; and for the independent isobars, identifying high-voltage centers or low-voltage centers corresponding to the independent isobars according to the station air pressure data and the independent isobars.
The air pressure center identification module 203 is used for determining the shortest closed isobaric line from all closed isobaric lines contained in the dependent isobaric lines; obtaining the coordinate value of each pixel point in an image area surrounded by the shortest closed isobars; calculating the coordinate of the central point of an image area surrounded by the shortest closed isobars according to the coordinate value of each pixel point; and determining the air pressure center at the coordinate of the central point as a high-pressure center or a low-pressure center according to the size relationship between the air pressure value of the non-independent isobaric line and the air pressure value of the shortest closed isobaric line.
The air pressure center identification module 203 is used for acquiring coordinate values of each pixel point in an image area surrounded by the independent isobars; calculating the coordinates of the central point of the image area surrounded by the independent isobars according to the coordinate value of each pixel point; determining the air pressure values of a preset number of stations which are positioned outside the independent isobaric line and have a distance with the independent isobaric line greater than or equal to a preset distance from the station air pressure data; and determining the air pressure center at the coordinate of the central point as a high pressure center or a low pressure center according to the size relationship between the air pressure values of the independent isobars and the air pressure values of the preset number of stations.
The incidence relation determining module 201 is configured to project a first closed isobaric line and a second closed isobaric line into a preset single-channel image, where the first closed isobaric line is any closed isobaric line in an isobaric line diagram, and the second closed isobaric line is any closed isobaric line except the first closed isobaric line; judging whether the second closed isobars are located in an image area surrounded by the first closed isobars or not; if yes, determining that the association relationship between the first closed equal-voltage line and the second closed equal-voltage line is an inclusion relationship.
The incidence relation determining module 201 is used for determining the coordinates of the growth points according to the coordinate values of the pixel points on the first closed isobaric line, wherein the growth points are located in an image area defined by the first closed isobaric line; judging whether a neighborhood coordinate point of the growth point is a pixel point on the first closed isobar or not according to the coordinate of the growth point; if not, taking the neighborhood coordinate point as a new growth point, returning to judge whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobar for cyclic execution until each pixel point in an image area surrounded by the first closed isobar is traversed; and if all the pixel points on the second closed isobars are pixel points in the image area surrounded by the first closed isobars, determining that the association relationship between the first closed isobars and the second closed isobars is an inclusion relationship.
The air pressure center identification device provided by the above embodiment of the application and the air pressure center identification method provided by the embodiment of the application have the same beneficial effects as the method adopted, operated or realized by the stored application program.
The embodiment of the application also provides electronic equipment for executing the air pressure center identification method. Please refer to fig. 5, which illustrates a schematic diagram of an electronic device according to some embodiments of the present application. As shown in fig. 5, the electronic device 40 includes: a processor 400, a memory 401, a bus 402 and a communication interface 403, wherein the processor 400, the communication interface 403 and the memory 401 are connected through the bus 402; the memory 401 stores a computer program that can be executed on the processor 400, and the processor 400 executes the computer program to perform the air pressure center identification method provided in any one of the foregoing embodiments of the present application.
The Memory 401 may include a high-speed Random Access Memory (RAM) and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the apparatus and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The electronic device provided by the embodiment of the application and the air pressure center identification method provided by the embodiment of the application have the same inventive concept and have the same beneficial effects as the method adopted, operated or realized by the electronic device.
Referring to fig. 6, the computer readable storage medium is an optical disc 30, and a computer program (i.e., a program product) is stored thereon, and when being executed by a processor, the computer program executes the method for identifying an air pressure center according to any of the foregoing embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memories (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above embodiment of the present application and the air pressure center identification method provided by the embodiment of the present application have the same inventive concept and have the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer-readable storage medium.
It should be noted that:
in the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted to reflect the following schematic: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Moreover, those of skill in the art will understand that although some embodiments described herein include some but not other features included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An air pressure center identification method is characterized by comprising the following steps:
respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and other closed isobaric lines except the closed isobaric line;
respectively determining the line type of each closed isobaric line according to the incidence relation corresponding to each closed isobaric line, wherein the line type comprises an independent isobaric line or a non-independent isobaric line; the independent isobars are closed isobars which do not have a contained relation with other closed isobars, and the dependent isobars are closed isobars which are positioned at the outermost circle in a group of sequentially nested closed isobars;
and identifying a high-pressure center and a low-pressure center in the isobaric graph based on each closed isobaric line, the incidence relation corresponding to each closed isobaric line and the line type.
2. The method according to claim 1, wherein the determining the line category of each closed isobar according to the association relationship corresponding to each closed isobar comprises:
if the incidence relation corresponding to a first closed isobaric line indicates that the first closed isobaric line comprises at least one closed isobaric line and the first closed isobaric line is not contained by other closed isobaric lines, determining that the line type of the first closed isobaric line is a non-independent isobaric line;
if the incidence relation corresponding to the first closed isobaric line indicates that the first closed isobaric line does not contain other closed isobaric lines and the first closed isobaric line is not contained by other closed isobaric lines, determining that the line type of the first closed isobaric line is an independent isobaric line;
wherein the first closed isobaric line is any closed isobaric line in the isobaric line diagram.
3. The method of claim 1, wherein identifying high and low pressure centers in the isobaric graph based on each closed isobar, the association for each closed isobar, and the line class comprises:
for the dependent isobars, determining each closed isobar contained in a region enclosed by the dependent isobars according to the association relation corresponding to the dependent isobars; identifying a high-voltage center or a low-voltage center corresponding to the non-independent isobars according to the non-independent isobars and the closed isobars contained in the non-independent isobars;
and for the independent isobars, identifying high-voltage centers or low-voltage centers corresponding to the independent isobars according to the station air pressure data and the independent isobars.
4. The method of claim 3, wherein the identifying the high-voltage center or the low-voltage center corresponding to the dependent isobars according to the dependent isobars and the closed isobars included in the dependent isobars comprises:
determining the shortest closed isobars from all closed isobars contained in the dependent isobars;
obtaining the coordinate value of each pixel point in the image area surrounded by the shortest closed isobars;
calculating the coordinate of the central point of the image area surrounded by the shortest closed isobaric line according to the coordinate value of each pixel point;
and determining the air pressure center at the central point coordinate to be a high pressure center or a low pressure center according to the size relationship between the air pressure value of the non-independent isobaric line and the air pressure value of the shortest closed isobaric line.
5. The method of claim 3, wherein identifying the high-voltage center or the low-voltage center corresponding to the independent isobar according to the station pressure data and the independent isobar comprises:
obtaining the coordinate value of each pixel point in the image area surrounded by the independent isobars;
calculating the coordinates of the central point of the image area surrounded by the independent isobars according to the coordinate values of each pixel point;
determining the air pressure values of a preset number of stations which are positioned outside the independent isobaric line and have a distance with the independent isobaric line greater than or equal to a preset distance from the station air pressure data;
and determining the air pressure center at the coordinate of the central point as a high pressure center or a low pressure center according to the size relationship between the air pressure values of the independent isobars and the air pressure values of the preset number of stations.
6. The method of any of claims 1-5, wherein the separately determining the association between each closed isobar in the isobar plot and the remaining closed isobars other than itself comprises:
projecting a first closed isobaric line and a second closed isobaric line into a preset single-channel image, wherein the first closed isobaric line is any closed isobaric line in the isobaric line graph, and the second closed isobaric line is any closed isobaric line except the first closed isobaric line;
judging whether the second closed isobaric line is located in an image area surrounded by the first closed isobaric line;
and if so, determining that the association relationship between the first closed isobaric line and the second closed isobaric line is an inclusion relationship.
7. The method of claim 6, wherein said determining whether the second closed contour is within an image region enclosed by the first closed contour comprises:
determining the coordinates of a growth point according to the coordinate values of pixel points on the first closed isobaric line, wherein the growth point is located in an image area surrounded by the first closed isobaric line;
judging whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobar or not according to the coordinate of the growth point;
if not, taking the neighborhood coordinate point as a new growth point, returning to judge whether the neighborhood coordinate point of the growth point is a pixel point on the first closed isobaric line for cyclic execution or not until each pixel point in an image area surrounded by the first closed isobaric line is traversed;
and if all the pixel points on the second closed isobars are pixel points in the image area surrounded by the first closed isobars, determining that the association relationship between the first closed isobars and the second closed isobars is an inclusion relationship.
8. An air pressure center identification device, comprising:
the incidence relation determining module is used for respectively determining the incidence relation between each closed isobaric line in the isobaric line graph and other closed isobaric lines except the closed isobaric line;
the line type determining module is used for respectively determining the line type of each closed isobaric line according to the incidence relation corresponding to each closed isobaric line, and the line type comprises independent isobaric lines or non-independent isobaric lines; the independent isobars are closed isobars which do not have a contained relation with other closed isobars, and the dependent isobars are closed isobars which are positioned at the outermost circle in a group of sequentially nested closed isobars;
and the air pressure center identification module is used for identifying a high pressure center and a low pressure center in the isobaric chart based on each closed isobaric line, the incidence relation corresponding to each closed isobaric line and the line type.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor to implement the method according to any of claims 1-7.
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