CN117807518B - Automatic identification method, system and equipment for slot line or shear line on conventional weather diagram - Google Patents
Automatic identification method, system and equipment for slot line or shear line on conventional weather diagram Download PDFInfo
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Abstract
The invention discloses an automatic identification method, system and equipment for a slot line or a shear line on a conventional weather map, which relate to the technical field of weather forecast and comprise the following steps: receiving wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set; according to the wind direction of the abnormal point, searching points with wind shear around the abnormal point by taking the abnormal point as a center, and then interpolating the abnormal point and the points with wind shear by using an inverse distance weight interpolation method to obtain an interpolation point; searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points; and performing polyline fitting on the interpolation points, performing smoothing treatment, and if two or more inflection points appear, performing segmentation analysis and drawing to obtain one or more complete groove lines or shear lines.
Description
Technical Field
The invention relates to the technical field of weather forecast, in particular to a method, a system and equipment for automatically identifying a slot line or a shear line on a conventional weather map.
Background
The weather service analysis software platform-micaps system is the most main forecast service system for weather forecast of China weather departments. The weather map is an important tool for analyzing and forecasting weather of the current weather department, and a task important for the on-duty day is to modify and supplement the analysis of the live weather map at the latest moment on a screen, regardless of a short-term post or a forecaster of a short-term nearby post. At present, the platform still does not realize automatic identification of a weather system, a man-machine interaction mode is still adopted in daily business, and a forecaster manually analyzes the weather system. The forecaster needs to know the atmospheric movement condition in a large scale or even worldwide through weather diagrams in a short time, and know the atmospheric movement rule through a plurality of weather diagrams in succession, so as to infer the future change of the atmosphere. The forecaster needs to see about 200 weather diagrams every time the forecaster makes a weather forecast. Therefore, the automatic identification of the weather system is one of the key points and technical difficulties for improving the weather forecast service level.
Disclosure of Invention
In order to solve the above-mentioned shortcomings in the background art, the present invention aims to provide an automatic identification method, system and device for a slot line or a shear line on a conventional weather map, wherein the conventional weather map is called in micaps system, and 4 types of slot lines or shear lines are drawn according to the shear of wind direction.
In a first aspect, the object of the present invention can be achieved by the following technical solutions: the automatic identifying method of the slot line or the shear line on the conventional weather diagram comprises the following steps:
Receiving wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
according to the wind direction of the abnormal point, searching points with wind shear around the abnormal point as a center, and then interpolating the abnormal point and the points with wind shear by using a reverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
And performing polyline fitting on the interpolation points, performing smoothing treatment, and if two or more inflection points appear, performing segmentation analysis and drawing to obtain one or more complete groove lines or shear lines.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the wind direction related data is obtained through wind direction data based on high-altitude full-element mapping data in the MICAPS system, wherein the high-altitude full-element mapping data belongs to class 2 data.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the process of processing the wind direction related data comprises the following steps: extracting data of a station number, longitude, latitude and wind direction from high-altitude full-element map filling data in class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the stations comprise abnormal stations and stations with wind shear, and the abnormal stations comprise southwest wind stations, southeast wind stations and northeast wind stations.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: when the wind direction of the abnormal site is southwest wind, a process of obtaining a plurality of interpolation points is carried out:
The method comprises the steps that a southwest wind station A1 appears, the northwest wind station or northeast wind station appears on the northwest side and the north side of the A1 point is searched by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal site is southeast wind;
the method comprises the steps that a southeast wind station A2 appears, the northwest wind station or the northeast wind station appears on the west side and the south side of the A2 point is searched by taking the A2 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching a site with northwest wind or northeast wind at the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
and repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points.
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: when the wind direction of the abnormal station is northeast wind,
The northeast wind site A3 appears, the northeast wind site A3 is used as the center, the northeast wind site appears on the adjacent south side of the A3 point, and an interpolation point is obtained between the two measuring stations by using a reverse distance weight interpolation method;
Searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal station is southeast wind,
The method comprises the steps that a southeast wind station A4 with an abnormal station is detected, the southeast wind station A4 is used as a center, southeast wind stations with the southeast wind stations are found out on the adjacent southwest sides of the A4, and an interpolation point is obtained between the two stations by using a reverse distance weight interpolation method;
and searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southeast side of the site B4 by taking the point B4 as a center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method.
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the calculation process of the inverse distance weight interpolation method is as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y); z i is the measurement at (x, y) as the outlier; n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight.
In a second aspect, to achieve the above object, the present invention discloses an automatic recognition system for a slot line or a shear line on a conventional weather map, comprising:
The wind direction judging module is used for receiving the wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
The interpolation point calculation module is used for searching points with wind shear around the abnormal points serving as centers according to the wind directions of the abnormal points, and then interpolating the abnormal points and the points with wind shear by using an inverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
And the slot line or shear line fitting module is used for carrying out broken line fitting on a plurality of interpolation points, then carrying out smoothing treatment, carrying out sectional analysis if two or more inflection points appear, and drawing to obtain one or more complete slot lines or shear lines.
With reference to the second aspect, in certain implementations of the second aspect, the system further includes: the wind direction related data are obtained through wind direction data based on high-altitude full-element mapping data in a MICAPS system, wherein the high-altitude full-element mapping data belong to the type 2 data;
or the wind direction related data is processed in the wind direction judging module: extracting data of a zone station number, longitude, latitude and wind direction from class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N;
Or the internal site of the wind direction judging module comprises an abnormal site and a measuring station with wind shear, wherein the abnormal site comprises a southwest wind site, a southeast wind site and a northeast wind site;
preferably, when the wind direction of the abnormal site is southwest wind, the interpolation point calculation module obtains a plurality of interpolation points:
The method comprises the steps that a southwest wind station A1 appears, the northwest wind station or northeast wind station appears on the northwest side and the north side of the A1 point is searched by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal site is southeast wind;
the method comprises the steps that a southeast wind station A2 appears, the northwest wind station or the northeast wind station appears on the west side and the south side of the A2 point is searched by taking the A2 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching a site with northwest wind or northeast wind at the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
Preferably, when the wind direction of the abnormal station is northeast wind in the interpolation point calculation module,
The northeast wind site A3 is found, the site with northeast wind is found on the adjacent south side of the A3 point by taking the A3 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
Searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal station is southeast wind,
The method comprises the steps that a southeast wind station A4 of a north side station is found, a southeast wind station is found on the south side adjacent to the A4 point by taking the A4 point as the center, and an interpolation point is obtained between the two stations by using a reverse distance weight interpolation method;
searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southwest side adjacent to the site B4 by taking the point B4 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
Preferably, the calculation process of the inverse distance weight interpolation method in the interpolation point calculation module is as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y) as an interpolation point; z i is the measurement at (x, y) as the outlier; n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight.
In another aspect of the present invention, in order to achieve the above object, there is disclosed an apparatus comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method for automatically identifying a slot line or shear line on a conventional weather map as described above.
The invention has the beneficial effects that:
The invention comprises the following steps: (1) Time is saved for a forecaster when weather forecast is manufactured; (2) Providing reference or learning opportunities for new forecasters, students in school, weather lovers, etc. who will not be proficient in analyzing the weather system; (3) Preparing for the analysis of the following numerical forecasting products and the frontal surface analysis on the ground map; (4) The method lays a foundation for knowing the evolution of the system and grasping the spatial configuration structure of the system and finally grasping the atmospheric movement situation above the forecast area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to those skilled in the art that other drawings can be obtained according to these drawings without inventive effort;
FIG. 1 is a schematic flow chart of the method of the present invention;
FIG. 2 is a schematic of the workflow of the present invention;
FIG. 3 is a schematic diagram of a slot or shear line corresponding to a southwest wind anomaly site of the present invention;
FIG. 4 is a schematic diagram of a slot or shear line corresponding to a southeast wind anomaly site of the present invention;
FIG. 5 is a schematic diagram of a slot or shear line corresponding to an abnormal northeast wind station of the present invention;
FIG. 6 is a schematic diagram of a slot line or shear line corresponding to an abnormal southeast wind station according to the present invention;
FIG. 7 is a diagram of the expected outcome of the present invention;
fig. 8 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
The following description is made of the relevant terms related to the embodiments of the present application:
interpolation points: the continuous function is interpolated on the basis of discrete data such that the continuous curve passes through all given discrete data points. Interpolation is an important method of discrete function approximation, by which the approximation of a function at other points can be estimated from the value condition of the function at a limited number of points. Interpolation: for filling in gaps between pixels in image transformations.
MICAPS: MICAPS4 construction is an important task of modern construction of Chinese weather service, and is a basic and key work of modern weather service. The MICAPS4 version greatly improves the system performance and improves the working efficiency. Scientific researchers comprehensively utilize the rapid multidimensional data processing technology, the high-performance meteorological data visualization and rendering method, the multithread concurrent IO and pipeline instruction management, the client and buffering, space-time matching and other technologies to improve. The modified MICAPS4.6 realizes the intellectualization of the application of the forecaster, the intelligent analysis, the intelligent forecast reminding and the intelligent information association aiming at mass data, and simultaneously realizes the high-efficiency flexibility of the aspects of product generation, search application, collaborative work and the like.
And (3) fold line fitting: polyline fitting is a data point-based fitting method that constructs a polyline by connecting adjacent data points such that the error between the polyline and the data points is minimized. Polyline fitting is typically used to describe the trend of data over different time periods or spatial locations. In practical application, the polyline fitting can help us understand the change rule of the data, predict future trend, and perform tasks such as classification and clustering of the data.
As shown in fig. 1, the automatic identification method of the slot line or the shear line on the conventional weather map is characterized in that the method comprises the following steps:
Receiving wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
the method is characterized in that the abnormal points are searched from top to bottom and from west to east for the wind direction related processing data set by a tracking method;
wherein, the wind direction related data is obtained by wind direction data based on the 2 nd type data-high-altitude full-element map filling data in the MICAPS system;
Further, the process of processing the wind direction and wind force related data comprises the following steps: extracting data of a zone station number, longitude, latitude and wind direction from class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N;
according to the wind direction of the abnormal point, searching points with wind shear around the abnormal point as a center, and then interpolating the abnormal point and the points with wind shear by using a reverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
the site comprises an abnormal site and a measuring station with wind shear, wherein the abnormal site comprises a southwest wind site, a southeast wind site and a northeast wind site;
When the wind direction of the abnormal site is southwest wind, a process of obtaining a plurality of interpolation points is as follows:
The method comprises the steps that a southwest wind station A1 appears, the northwest wind station or northeast wind station appears on the northwest side and the north side of the A1 point is searched by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
Specifically, when the data is searched from north to south and from west to east for a first site with the wind direction value in the range of 180-270, namely 180 is less than or equal to A (x, y) <270, then taking the point A as the center, if the site with the wind direction value in the range of 270-360 or 0-90 appears on the west side and the north side of the site, calculating a first interpolation point by an inverse distance weighted interpolation method, and when the wind direction value of the west side and the north side of the point A is equal to 270, directly determining the interpolation point on the site without the interpolation method; then searching the next B point with the occurrence of 180-B (x, y) being less than or equal to 270 in the southwest direction or the eastern side of the site A, circulating the previous steps, searching a second interpolation point, and the like, and searching a plurality of interpolation points until southwest wind does not continuously appear in the southwest direction or the eastern side; and then carrying out polyline fitting on the interpolation points, and finally carrying out smoothing treatment to draw a complete groove line or shear line. If only one station has a wind direction value between 180-270, it is filtered out, regardless of the order system.
When the wind direction of the abnormal site is southeast wind;
The method comprises the steps that a southeast wind site A2 appears, a site with northwest wind or northeast wind appears on the west side and the south side of the A2 point is searched by taking the A2 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching sites with northwest wind or northeast wind on the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining an interpolation point between the two measuring sites by using a reverse distance weight interpolation method;
and repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points.
Specifically, when the wind direction value of a first site is found from north to south and from west to east to be within the range of 90-180, namely 90< A (x, y) is less than or equal to 180, then taking the point A as the center, and if the site of the wind direction within the range of 270-360 or 0-90 appears on the west side and the south side of the site, calculating a first interpolation point by an inverse distance weighted interpolation method; then searching the next point B with the occurrence of 90< B (x, y) less than or equal to 180 in the southwest direction or the southeast direction of the site, circulating the previous steps, searching a second interpolation point, and the like, and searching a plurality of interpolation points until southeast wind does not continuously appear in the southwest direction or the southeast direction; and then carrying out polyline fitting on the interpolation points, and finally carrying out smoothing treatment to draw a complete groove line or shear line. If only one station has a wind direction value between 90 and 180, it is filtered out, regardless of the order system.
When the wind direction of the abnormal station is northeast wind,
The northeast wind site A3 is found, the site with northeast wind is found on the adjacent south side of the A3 point by taking the A3 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
Searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
Specifically, when the wind direction value of a first site is found from north to south and from west to east to within the range of 0-90, namely 0<A (x, y) <90, then taking the point A as the center, if a site with the wind direction value within the range of 270-360 appears on the south side of the site, calculating a first interpolation point by an inverse distance weighted interpolation method, and when the wind direction value of the site at the south side of the point A is equal to 0, directly determining the interpolation point on the site without the interpolation method; then searching the next B point which appears 0<B (x, y) <90 on the east side of the station, cycling the previous steps to find a second interpolation point, and so on, and finding a plurality of interpolation points until the northeast wind does not appear continuously on the east station; and then carrying out polyline fitting on the interpolation points, and finally carrying out smoothing treatment to draw a complete groove line or shear line. If only one station has a wind direction value of 0-90, it is filtered out, regardless of the ordering system.
When the wind direction of the abnormal station is southeast wind,
The site A4 with southeast wind appears, the site with southeast wind appears is searched for on the adjacent south side of the A4 point by taking the A4 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southwest side adjacent to the site B4 by taking the point B4 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculating, and obtaining a plurality of interpolation points.
Specifically, searching an abnormal point A with the wind direction value of a first site within the range of 90-180 from north to south and from west to east, namely 90< A (x, y) <180, taking the point A as the center, if a site with the wind direction value within the range of 180-270 appears on the south side of the site, obtaining a first interpolation point between two measuring stations by an inverse distance weighted interpolation method, and directly determining the interpolation point on the site when the wind direction value of the south side measuring station of the point A is equal to 180 without using the interpolation method; then searching the next point B with the frequency of 90< B (x, y) <180 on the east side of the station, circulating the previous steps, searching a second interpolation point, and so on, and searching a plurality of interpolation points until southeast wind does not appear continuously on the east station; and then carrying out polyline fitting on the interpolation points, and finally carrying out smoothing treatment to draw a complete groove line or shear line. If only one station has a wind direction value of 90-180, it is filtered out, regardless of the ordering system.
The calculation process of the inverse distance weight interpolation method is as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y); z i is the measurement at (x, y); n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight, typically 1-2, and typically 2 at the time of calculation.
Where Zi is the outlier, f (x, y) is the interpolation point, and di is the distance of the outlier from its windshear station.
The inverse distance weighted interpolation method is mainly based on the first law of geography, and the value of the point to be interpolated is determined according to the reciprocal of the distance between the point to be interpolated and the sample point, namely, the farther the point to be interpolated is from the sample point, the smaller the influence is, and the larger the influence is otherwise.
And performing polyline fitting on the interpolation points, performing smoothing treatment, and if two or more inflection points appear, performing segmentation analysis and drawing to obtain one or more complete groove lines or shear lines.
Specifically, the following examples are provided to further illustrate the present invention: by means of inverse distance weighted interpolation, clustering, fitting, spline smoothing and other methods, automatic identification and drawing of slot lines or shear lines and shear lines on a conventional weather diagram in a MICAPS system are realized through programming by means of computer languages such as python, c++, and the like
Embodiment two: as shown in fig. 8, in combination with the second aspect, the present invention discloses an automatic recognition system for a slot line or a shear line on a conventional weather map, comprising:
The wind direction judging module is used for receiving the wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
The interpolation point calculation module is used for searching points with wind shear around the abnormal points serving as centers according to the wind directions of the abnormal points, and then interpolating the abnormal points and the points with wind shear by using an inverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
And the slot line or shear line fitting module is used for carrying out broken line fitting on a plurality of interpolation points, then carrying out smoothing treatment, carrying out sectional analysis if two or more inflection points appear, and drawing to obtain one or more complete slot lines or shear lines.
In certain implementations of the second aspect, the system further comprises: the wind direction related data in the wind direction judging module is obtained by wind direction data based on class 2 data-high-altitude full-element filling data in the MICAPS system;
or the wind direction related data is processed in the wind direction judging module: extracting data of a zone station number, longitude, latitude and wind direction from class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N;
Or the internal site of the wind direction judging module comprises an abnormal site and a measuring station with wind shear, wherein the abnormal site comprises a southwest wind site, a southeast wind site and a northeast wind site;
preferably, when the wind direction of the abnormal site is southwest wind, the interpolation point calculation module obtains a plurality of interpolation points:
The method comprises the steps that a southwest wind site A1 appears, a site with northwest wind or northeast wind appears is searched on the northwest side and the north side of the A1 point by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a next site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining an interpolation point between the two measuring sites by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal site is southeast wind;
The method comprises the steps that a southeast wind site A2 appears, a site with northwest wind or northeast wind appears on the west side and the south side of the A2 point is searched by taking the A2 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching sites with northwest wind or northeast wind on the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining an interpolation point between the two measuring sites by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
Preferably, when the wind direction of the abnormal station is northeast wind in the interpolation point calculation module,
The northeast wind site A3 is found, the site with northeast wind is found on the adjacent south side of the A3 point by taking the A3 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
Searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal station is southeast wind,
The site A4 with southeast wind appears, the site with southeast wind appears is searched for on the adjacent south side of the A4 point by taking the A4 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southwest side adjacent to the site B4 by taking the point B4 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
Preferably, the calculation process of the inverse distance weight interpolation method in the interpolation point calculation module is as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y); z i is the measurement at (x, y); n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight, typically 1-2, and typically 2 at the time of calculation.
Where Zi is the outlier, f (x, y) is the interpolation point, and di is the distance of the outlier from its windshear station.
Based on the same inventive concept, the present invention also provides a computer apparatus comprising: one or more processors, and memory for storing one or more computer programs; the program includes program instructions and the processor is configured to execute the program instructions stored in the memory. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processor, digital signal processor (DIGITAL SIGNAL Processor, DSP), application specific integrated circuit (Application SpecificIntegrated Circuit, ASIC), field-Programmable gate array (Field-Programmable GATEARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., that are the computational core and control core of the terminal for implementing one or more instructions, particularly for loading and executing one or more instructions within a computer storage medium to implement the methods described above.
It should be further noted that, based on the same inventive concept, the present invention also provides a computer storage medium having a computer program stored thereon, which when executed by a processor performs the above method. The storage media may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electrical, magnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing has shown and described the basic principles, principal features, and advantages of the present disclosure. It will be understood by those skilled in the art that the present disclosure is not limited to the embodiments described above, which have been described in the foregoing and description merely illustrates the principles of the disclosure, and that various changes and modifications may be made therein without departing from the spirit and scope of the disclosure, which is defined in the appended claims.
Claims (8)
1. The automatic recognition method of the slot line or the shear line on the conventional weather map is characterized by comprising the following steps of:
Receiving wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
According to the wind direction of the abnormal point, searching points with wind shear around the abnormal point as a center, and then interpolating the abnormal point and the points with wind shear by using a reverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
When the wind direction of the abnormal point is southwest wind, a process of obtaining a plurality of interpolation points is as follows:
The method comprises the steps that a southwest wind station A1 appears, the northwest wind station or the northeast wind station appears on the northwest side and the north side of the A1 point is searched by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining a next interpolation point by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal point is southeast wind;
The southeast wind station A2 appears, the northwest wind station or the northeast wind station is searched on the west side and the south side of the A2 by taking the point A2 as the center, and an interpolation point is obtained between the two stations by using a reverse distance weight interpolation method;
Searching a next site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching northwest wind or northeast wind sites on the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining a next interpolation point between two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal point is northeast wind,
The northeast wind site A3 is found, the site with northeast wind is found on the adjacent south side of the A3 point by taking the A3 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining a next interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
When the wind direction of the abnormal point is southeast wind,
The method comprises the steps that a southeast wind site A4 appears at an abnormal point, the site where southeast wind appears is searched for on the southwest side adjacent to the A4 point by taking the A4 point as a center, and an interpolation point is obtained between two measuring stations by using an inverse distance weight interpolation method;
Searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southwest side adjacent to the site B4 by taking the point B4 as a center, and obtaining a next interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
And performing polyline fitting on the interpolation points, performing smoothing treatment, and if two or more inflection points appear, performing segmentation analysis and drawing to obtain one or more complete groove lines or shear lines.
2. The automatic recognition method of a slot line or a shear line on a conventional weather map according to claim 1, wherein the wind direction related data is obtained by wind direction data based on high-altitude full-element map filling data in a MICAPS system, wherein the high-altitude full-element map filling data belongs to class 2 data.
3. The method for automatically identifying a slot line or shear line on a conventional weather map according to claim 1, wherein the process of processing wind direction related data comprises: extracting data of a zone station number, longitude, latitude and wind direction from class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N.
4. The method of claim 1, wherein the site comprises an outlier and a station with wind shear, the outlier comprising a southwest wind site, a southeast wind site and a northeast wind site.
5. The method for automatically identifying a slot line or a shear line on a conventional weather map according to claim 1, wherein the inverse distance weight interpolation method is calculated as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y) as an interpolation point; z i is the measurement at (x, y) as the outlier; n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight.
6. An automatic slot line or shear line identification system on a conventional weather map, comprising:
The wind direction judging module is used for receiving the wind direction related data, processing the wind direction related data to obtain a wind direction related processing data set, and searching abnormal points from top to bottom and from west to east for the wind direction related processing data set;
The interpolation point calculation module is used for searching points with wind shear around the abnormal points serving as centers according to the wind directions of the abnormal points, and then interpolating the abnormal points and the points with wind shear by using an inverse distance weight interpolation method to obtain an interpolation point;
Searching the next abnormal point in the east or southwest direction of the abnormal point, calculating by using an inverse distance weight interpolation method to obtain an interpolation point, and stopping calculating when the abnormal point does not appear any more to obtain a plurality of interpolation points;
When the wind direction of the abnormal point in the interpolation point calculation module is southwest wind, a process of obtaining a plurality of interpolation points is carried out:
The method comprises the steps that a southwest wind site A1 appears, a site with northwest wind or northeast wind appears is searched on the northwest side and the north side of the A1 point by taking the A1 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B1 with southwest wind in the southwest direction or in the eastern direction of the point A1, searching sites with northwest wind or northeast wind on the northwest side and the north side of the point B1 by taking the point B1 as the center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal point is southeast wind;
The method comprises the steps that a southeast wind station A2 appears, the northwest wind station or the northeast wind station appears on the west side and the south side of the A2 point is searched by taking the A2 point as the center, and an interpolation point is obtained between two measuring stations by using a reverse distance weight interpolation method;
Searching a site B2 with southeast wind in the southwest direction or the southeast direction of the point A2, searching a site with northwest wind or northeast wind at the west side and the south side of the point B2 by taking the point B2 as a center, and obtaining an interpolation point between the two measuring stations by using a reverse distance weight interpolation method;
repeating the steps until southwest wind does not continuously appear in southwest direction or eastern direction, stopping calculating, and obtaining a plurality of interpolation points;
when the wind direction of the abnormal point in the interpolation point calculation module is northeast wind,
The northeast wind site A3 is found, the site with northeast wind is found on the adjacent south side of the A3 point by taking the A3 point as the center, and an interpolation point is obtained between the two measuring stations by using an inverse distance weight interpolation method;
Searching a site B3 with northeast wind on the east side of the site A3, searching a site with northwest wind on the south side adjacent to the point B3 by taking the point B3 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until northeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
When the wind direction of the abnormal point is southeast wind,
The southeast wind site A4 with the abnormal point is found to be southeast wind site with the A4 point as the center on the adjacent south side of the A4 point, and an interpolation point is obtained between the two measuring stations by using a reverse distance weight interpolation method;
searching a site B4 with southeast wind on the eastern side of the site A4, searching a site with southeast wind on the southwest side adjacent to the site B4 by taking the point B4 as a center, and obtaining an interpolation point between two measuring stations by using a reverse distance weight interpolation method;
Repeating the steps until southeast wind does not appear continuously at the eastern side, stopping calculation, and obtaining a plurality of interpolation points;
And the slot line or shear line fitting module is used for carrying out broken line fitting on a plurality of interpolation points, then carrying out smoothing treatment, carrying out sectional analysis if two or more inflection points appear, and drawing to obtain one or more complete slot lines or shear lines.
7. The automatic recognition system of a slot line or a shear line on a conventional weather map according to claim 6, wherein the wind direction related data is obtained by wind direction data among high-altitude full-element map-filling data based on a MICAPS system, wherein the high-altitude full-element map-filling data belongs to class 2 data;
or the wind direction related data is processed in the wind direction judging module: extracting data of a zone station number, longitude, latitude and wind direction from class 2 data in a MICAPS system, wherein the extraction range is as follows: 60 0-1600E,100-700 N;
or the internal site of the wind direction judging module comprises abnormal points and a measuring station with wind shear, wherein the abnormal points comprise southwest wind sites, southeast wind sites and northeast wind sites;
the calculation process of the inverse distance weight interpolation method in the interpolation point calculation module is as follows:
Wherein f (x, y) is a predicted value at the coordinate point (x, y) as an interpolation point; z i is the measurement at (x, y) as the outlier; n is the number of sample points around the predicted point participating in the interpolation point; d i is the distance from the predicted point to each known sample point; where k is a weight.
8. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of automatically identifying a slot line or shear line on a conventional weather map as set forth in any one of claims 1-5.
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