CN113658292A - Method, device and equipment for generating meteorological data color spot pattern and storage medium - Google Patents
Method, device and equipment for generating meteorological data color spot pattern and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of artificial intelligence, and discloses a meteorological data speckle pattern generation method, which comprises the following steps: determining an interpolation range based on the meteorological station position information; drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid; carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data; and performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data. The method and the device can improve the accuracy of generating the color spot map of the meteorological data.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a device for generating a meteorological data speckle pattern, electronic equipment and a computer-readable storage medium.
Background
The arrangement of the meteorological stations is also unevenly distributed for areas with high complexity of terrain and topography, for example, in mountainous areas and areas with sparse population, the meteorological stations are fewer, and in areas with high population density, the meteorological stations are more. Therefore, the whole meteorological data collected by the meteorological site is scattered. As is known, the temperature decreases with the rise of the altitude, and the temperature decreases by 0.6 ℃ with the rise of the altitude of 100 meters, so that the values of a plurality of meteorological elements are greatly influenced by the terrain, and the values of the meteorological elements at different heights in the same area are different.
At present, most of meteorological speckled maps drawn in meteorology are generated by using lattice point data interpolated from scattered point data of meteorological stations, the influence of elevation data on meteorological element values is not considered, in addition, the accuracy of the speckled maps directly formed by interpolating data is low, the meteorological changes of actual areas cannot be truly reflected, the colors of the speckled maps cannot be defined by self, and the speckled maps are realized by modifying codes by professionals, so that the method is time-consuming, labor-consuming and low in flexibility.
It can be known that the accuracy of the meteorological data generated by directly interpolating the meteorological site data is low, the resolution of the color spot map image generated based on the interpolated data is low, the flexibility is poor, and the high-quality display requirement and the user experience cannot be met.
Disclosure of Invention
The invention provides a meteorological data speckle pattern generation method and device, electronic equipment and a computer readable storage medium, and mainly aims to improve the accuracy of meteorological data speckle pattern generation.
In order to achieve the above object, the invention provides a method for generating a color spot map of meteorological data, comprising:
determining an interpolation range based on the meteorological station position information;
drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid;
carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data;
and performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data.
In addition, an optional technical solution is that the determining an interpolation range based on the weather station location information includes:
acquiring a meteorological data target area to be subjected to color spot graph drawing;
acquiring position information of all meteorological sites in the target area, wherein the position information comprises longitude and latitude information corresponding to the meteorological sites;
and determining the interpolation range based on the maximum longitude and latitude point and the minimum longitude and latitude point in the position information of all the meteorological sites.
In addition, an optional technical solution is that, the drawing a weather grid based on the interpolation range and the latitude and longitude information of the weather site, and obtaining the grid data of each grid point of the weather grid includes:
drawing a meteorological grid in the interpolation range, and enabling all meteorological sites to be respectively positioned on different grid points of the meteorological grid;
acquiring longitude, latitude, altitude and meteorological element data of each grid point of the meteorological grid, wherein the meteorological element data of the grid points without the meteorological site can be set to be preset fixed values;
and combining to form the grid point data of the grid points based on the longitude, latitude, altitude and meteorological element data of the grid points.
In addition, an optional technical solution is that the drawing a meteorological grid within the interpolation range includes:
selecting a target point from the longitude and latitude information of the meteorological site as an origin of a display screen;
converting the longitude and latitude of the original point into radian, and determining the intermediate quantity of the distance between the X axis and the Y axis where the original point is located;
determining the geographic distance between the known meteorological station and the origin based on the intermediate quantity and the longitude and latitude of the known meteorological station except the origin;
determining a grid location of the known weather station on the display screen based on the geographic distance.
In addition, an optional technical solution is that, performing interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data, including:
performing data assembly on the mesh point data to obtain assembly data corresponding to the mesh point data;
and carrying out interpolation calculation on the assembly data to obtain interpolation data corresponding to the assembly data.
In addition, an optional technical solution is that, performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data includes:
preprocessing the interpolation data to obtain processed target data;
and performing color filling on grid points where the target data are located based on the target data and the filling rule to generate the color spot picture.
In addition, an optional technical solution is that, after generating the mottle picture corresponding to the interpolation data, the method further includes:
reading a preset terrain boundary file, and setting the format of the terrain boundary file as geojson so that the arcgis can judge the graphic range corresponding to the file;
customizing the map grade, and converting pixel points on the color spot picture into longitude and latitude;
judging whether the longitude and latitude points after the pixel point conversion are in the terrain boundary file or not by using the arcgis, if so, not processing, and if not, filling the color of the pixel point corresponding to the longitude and latitude points into a custom color;
and cutting all the longitude and latitude points filled with the colors to determine the display picture, and feeding the display picture back to the front-end display screen for display.
In order to solve the above problem, the present invention further provides a meteorological data speckle pattern generation apparatus, including:
an interpolation range determination unit for determining an interpolation range based on the weather station position information;
the grid data acquisition unit is used for drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid;
an interpolation data acquisition unit, configured to perform interpolation calculation on the mesh point data, and acquire interpolation data corresponding to the mesh point data;
and the color spot image generating unit is used for carrying out color filling on the basis of the interpolation data and a preset filling rule so as to generate a color spot image corresponding to the interpolation data.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the meteorological data color spot pattern generation method.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for generating a color spot map of meteorological data.
The embodiment of the invention determines the interpolation range based on the position information of the meteorological station; drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological site, and acquiring grid point data of each grid point of the meteorological grid; carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data; carry out the color based on interpolation data and predetermined filling rule and fill to generate the color spot picture that corresponds with interpolation data, not only can improve meteorological data's the degree of accuracy, can also improve the drawing precision of color spot picture, very big improvement meteorological display effect and user's visual sensation.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for generating a color spot map of meteorological data according to an embodiment of the present invention;
FIG. 2 is a block diagram of a weather data speckle pattern generating apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an internal structure of an electronic device for implementing a method for generating a color spot map of meteorological data according to an embodiment of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems that the accuracy of the meteorological data generated by directly interpolating the meteorological station data is low, the resolution of a color spot image generated based on the interpolated data is low, the flexibility is poor, the high-quality display requirement cannot be met, the user experience cannot be met and the like, the invention provides the meteorological data color spot image generation method.
It should be noted that, in the following embodiments, the related data, for example, the mesh point data, the difference data, etc., may be acquired and processed based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
Specifically, as an example, refer to fig. 1, which is a schematic flow chart of a method for generating a color spot map of meteorological data according to an embodiment of the present invention. The method may be performed by an apparatus, which may be implemented by software and/or hardware.
In this embodiment, the method for generating a color spot map of meteorological data includes:
s100: an interpolation range is determined based on the weather station location information.
S200: and drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring the grid point data of each grid point of the meteorological grid.
S300: and carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data.
S400: and performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data.
In the step S100, if the latitude and longitude range of the drawing area of the speckle pattern is predetermined (the user can set it by himself), the minimum longitude, the minimum latitude, the maximum longitude, and the maximum latitude of the latitude and longitude range can be directly set in the range of the target area, and if the latitude and longitude range is not predetermined, the final interpolation range can be determined according to the location information of the weather station.
The interpolation range mainly refers to an area range in which a color spot map needs to be generated, and the interpolation range can be a country, a province and a city or an area in which a related color spot map needs to be generated.
It is emphasized that, in order to further ensure the privacy and security of the interpolated data, the interpolated data may also be stored in a node of a blockchain.
As an example, the step S100 may further include the steps of:
s110: acquiring a meteorological data target area to be subjected to color spot graph drawing;
s120: acquiring position information of all meteorological sites in the target area, wherein the position information comprises longitude and latitude information corresponding to the meteorological sites;
s130: and determining the interpolation range based on the maximum longitude and latitude point and the minimum longitude and latitude point in the position information.
The maximum longitude and latitude points and the minimum longitude and latitude points are used as two diagonal points of the rectangular area, so that a rectangular area can be determined, and the interpolation range can be set to be slightly larger than the rectangular area corresponding to the maximum longitude and latitude points and the minimum longitude and latitude points, so that the edge area of a subsequent color spot image in other processing processes such as cutting cannot be lost.
In the step S200, the drawing a weather grid based on the interpolation range and the latitude and longitude information of the weather station, and acquiring the grid data of each grid point of the weather grid may further include:
s210: drawing a meteorological grid in the interpolation range, and enabling all meteorological sites to be respectively positioned on different grid points of the meteorological grid;
s220: acquiring longitude, latitude, altitude and meteorological element data of each grid point of the meteorological grid, wherein the meteorological element data of the grid points without the meteorological site can be set as a preset fixed value;
s230: and combining to form the grid point data of the grid points based on the longitude, latitude, altitude and meteorological element data of the grid points.
Specifically, in the process of drawing the grid according to the interpolation range and the latitude and longitude information of the meteorological sites, which is actually a process of converting latitude and longitude into pixel points, the accuracy of the grid is related to the distance between two meteorological sites with the minimum distance, wherein, in order to ensure that all the meteorological sites in the interpolation range are positioned on the grid points of the meteorological grid, the grid length of the meteorological grid, namely the minimum side length of the grid, needs to be determined according to the distance between the two meteorological sites with the minimum distance, the minimum side length of the grid is not an actual distance parameter, and the meteorological grid with equal proportional scaling can be formed by converting the actual length with a certain proportion, the length of the lowest side of the grid is smaller, namely the meteorological grid is denser, the accuracy of drawing the later-stage color spot pattern is higher, but the corresponding data volume is larger, which can be specifically set according to an application scene or a requirement, there is no particular limitation in the present invention.
Specifically, the preset fixed value may be set as required, and may be set to 0 by default. For example, the grid point data of the grid points where no weather site is set includes the longitude, latitude, altitude, and 0 of the corresponding grid point, and the grid point data of the grid points where the weather site is set includes the longitude, latitude, altitude of the corresponding grid point and the weather element data of the corresponding weather site.
As a specific example, the weather grid drawing method in step S210 may include:
s211: selecting a target point from the longitude and latitude information of the meteorological site as an origin of a display screen;
s212: converting the longitude and latitude of the original point into radian, and determining the intermediate quantity of the distance between the X axis and the Y axis where the original point is located;
s213: determining the geographic distance between the known meteorological station and the origin based on the intermediate quantity and the longitude and latitude of the known meteorological station except the origin;
s214: determining a grid location of the known weather station on the display screen based on the geographic distance.
In the process of drawing the meteorological grid data, that is, in the process of drawing a grid or converting longitude and latitude into pixel points, a target point (for example, a maximum value of latitude and a minimum value point of longitude are used as an origin of screen display) can be selected from the longitude and latitude of the meteorological site as an origin; then, converting the longitude and latitude of the meteorological station into radian, and determining the intermediate quantity of the distance between the horizontal axis and the longitudinal axis; and then calculating the geographic distance between the known longitude and latitude points and the X axis and the Y axis of the origin (the step comprises the steps of converting the known longitude and latitude points into radians, then determining the geographic distance between the known point and the origin on the basis of the radians and the X axis and the Y axis), when the geographic distance between all the points and the origin is determined, determining the pixel point position (the position of a grid point) displayed on a screen according to the corresponding geographic distance, and after the grid positions of all the longitude and latitude points are determined, finishing the drawing of the grid.
In step S300 of the present invention, performing interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data, may further include:
s310: and performing data assembly on the mesh point data to obtain assembly data corresponding to the mesh point data.
The method mainly comprises the steps of splicing the mesh point data into a structure or a form required by rear-end interpolation operation according to a preset rule, and feeding back the assembled data to the rear end so that the rear end can directly perform data operation processing. The front-end data assembly is the prior art in the field, and can be performed in various ways such as MYSQL and the like, and specifically, the web site data can be assembled into a corresponding format or structure and the like according to the requirements of the back-end in processing the data.
S320: and carrying out interpolation calculation on the assembly data to obtain interpolation data corresponding to the assembly data.
When the assembly data is subjected to interpolation calculation, the terrain of the position of the station can be determined according to the longitude and latitude of the corresponding meteorological station, the interpolation calculation is further realized based on the arcgis, the interpolation data after the interpolation calculation also comprises the corresponding longitude, latitude, height and meteorological element data, the transition between two data for drawing the speckled pattern is smaller as the distance between two adjacent interpolation data is smaller, the accuracy is higher, and the visual embodiment effect is better.
As a specific example, the interpolation calculation of the assembly data according to the present invention can be performed by using the following interpolation formula:
where yc represents interpolated data after interpolation, x represents an observation value of meteorological element data in the grid data, w represents a weight of a grid point adjacent to the observation value x, and f (Δ x, w, Δ h) represents a degree of influence of elevation on a change in the observation value of the adjacent grid point.
For example, the following effects also exist for different meteorological elements:
aiming at the air pressure change:
for temperature changes:
where p represents the gas pressure, t represents the temperature, h represents the height, and Δ h represents the amount of change in the height.
Through carrying out interpolation processing to the mesh data, on the one hand when meteorological element data volume at the meteorological website is less, the accessible interpolation increases data volume to promote the drawing effect of color spot picture, on the other hand, when predicting the meteorological element data in certain region, accessible interpolation algorithm calculates the meteorological element data of interpolation point, also can promote the precision of color spot picture.
It should be noted that, as a specific example only, in the process of interpolating the mesh point data, the interpolation method further includes an inverse distance weighted interpolation method, a kriging interpolation method, a lagrange interpolation method, and the like, where the basic principle of the inverse distance weighted interpolation method is to distribute a series of discrete points on a plane, know the position coordinates (xi, yi) and the attribute values zi (i ═ 1, 2, …), where P (x, y) is any mesh point, and find the P point attribute value through distance weighted interpolation according to the attribute values of the surrounding discrete points. The distance weighted interpolation method integrates the advantages of the adjacent point method of the Thiessen polygon and the gradient method of the multiple regression method, and the exact or smooth interpolation can be carried out on the assumption that the attribute value of the P point is the distance weighted average value of all data points in the local neighborhood.
In addition, the kriging interpolation method mainly considers the variation distribution of spatial attributes at spatial positions, determines a distance range influencing a value to be interpolated, and then estimates the attribute value of the point to be interpolated by using sampling points in the range.
For the step S400 of the present invention, the performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data may further include:
s410: and preprocessing the interpolation data to obtain processed target data.
The preprocessing of the interpolation data can comprise smoothing the interpolation data, eliminating abnormal values, standardizing and the like, and the preprocessing of the interpolation data can remove abnormal data in the data, enable two adjacent target data to be in smooth transition and further ensure the drawing precision of the color spot picture.
S420: and performing color filling on grid points where the target data are located based on the target data and the filling rule to generate the color spot picture.
It should be noted that, the color filling of the grid points where the target data is located based on the target data and the filling rule may further include:
1. setting a color configuration table, wherein the color configuration table comprises a threshold value group and colors corresponding to each meteorological element data;
wherein, the color configuration table can be set as shown in the following table 1:
| serial number | Field(s) | Name of field | Type (B) |
| 1 | Id | Main key | Integer |
| 2 | minValue | Minimum value of threshold | Double |
| 3 | maxValue | Maximum value of threshold | Double |
| 4 | Color_R | Color R | Integer |
| 5 | Color_G | Color G | Integer |
| 6 | Color_B | Color B | Integer |
TABLE 1
2. Calling colors in the threshold value group corresponding to the vertical direction in the color configuration table according to the numerical value of meteorological element data in the target data;
3. and performing color filling on grid points corresponding to meteorological element data in the target data based on the colors to generate the color spot picture.
The meteorological element data can comprise various meteorological elements such as temperature, precipitation, air pressure, humidity, wind speed and visibility, each meteorological element corresponds to one color spot graph in the process of drawing the color spot picture, and the specific threshold value set and the color can be flexibly adjusted according to requirements. For example, when the precipitation is used as a meteorological element to perform the color spot diagram drawing, the values of the color configuration table in the application process can be as shown in the following table 2:
| precipitation x in target data | Set of thresholds | Color RGB |
| 1 | 0＜X＜＝2 | 255 255 150 |
| 4 | 2＜X＜＝4 | 255 255 50 |
| 5 | 4＜X＜＝6 | 255 200 50 |
| 7 | 6＜X＜＝8 | 255 150 50 |
| 10 | 8＜X＜＝10 | 255 100 50 |
TABLE 2
The threshold value group can be determined according to meteorological element data in the target data, and then the color value at the meteorological element data point can be determined according to the color corresponding to the threshold value group. In addition, the range of the threshold group can be set to other interval forms besides two values in the above table, the more the threshold group is divided, the higher the accuracy of the corresponding color spot map is, the larger the calculation amount is, and the range can be specifically set according to the application scene and the requirement.
For example, when setting the color configuration table, the threshold accuracy level can be set according to the threshold range of the input color patch pattern, the threshold range is divided into a plurality of continuous threshold value groups according to the accuracy level, a corresponding filling color is set for each threshold value group, the color configuration table is stored in the database, meanwhile, a parameter modification interface corresponding to the color configuration table can be provided, the color configuration of the color patch pattern can be conveniently adjusted in the application process, when a background draws the color patch picture according to target data, the corresponding color can be automatically read directly based on the color configuration table, the speed is high, the flexibility is strong, and the method is applicable to the color patch drawing process of various meteorological elements.
In addition, the method for generating a color patch image of meteorological data according to the present invention may further include, after generating the color patch image corresponding to the interpolation data:
s500: and cutting the color spot picture by utilizing the terrain boundary file to obtain a display picture on a display screen. The step S500 may further include:
s510: reading a preset terrain boundary file, and setting the format of the terrain boundary file as geojson so that the arcgis can judge the graphic range corresponding to the file;
s520: customizing the map grade, and converting pixel points on the color spot picture into longitude and latitude;
s530: judging whether the longitude and latitude points after the pixel point conversion are in the terrain boundary file or not by using the arcgis, if so, not processing, and if not, filling the color of the pixel point corresponding to the longitude and latitude points into a custom color;
s540: and cutting all the longitude and latitude points filled with the colors to determine the display picture, and feeding the display picture back to the front-end display screen for display.
By using the meteorological data color spot diagram generation method, not only can the elevation data be added into the interpolation method for the scattered point interpolation of the meteorological data into the grid point data, the influence of the area of longitude and latitude and the altitude height on each meteorological element be judged, the accuracy of data interpolation is effectively improved, the color configuration table can be flexibly set, the meteorological color spot diagram is drawn by using the meteorological element data after interpolation and the preset filling rule, the accuracy of the color spot diagram is higher, and the display effect of the meteorological data and the visual experience of a client can be greatly improved.
FIG. 2 is a functional block diagram of the meteorological data mottle map generating apparatus according to the present invention.
The device 200 for generating a color spot pattern of meteorological data can be installed in an electronic device. According to the implemented functions, the meteorological data mottle map generation device may include an interpolation range determination unit 210, a mesh data acquisition unit 220, an interpolation data acquisition unit 230 and a mottle map generation unit 240, which may also be referred to as a module, and refers to a series of computer program segments that can be executed by a processor of an electronic device and can perform fixed functions, and are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
an interpolation range determination unit 210 for determining an interpolation range based on the weather station location information;
a mesh point data obtaining unit 220, configured to draw a weather grid based on the interpolation range and the latitude and longitude information of the weather station, and obtain mesh point data of each mesh point of the weather grid;
an interpolation data obtaining unit 230, configured to perform interpolation calculation on the mesh point data, and obtain interpolation data corresponding to the mesh point data;
a color patch image generating unit 240, configured to perform color filling based on the interpolation data and a preset filling rule to generate a color patch image corresponding to the interpolation data.
It is emphasized that, in order to further ensure the privacy and security of the interpolated data, the interpolated data may also be stored in a node of a blockchain.
In detail, in the interpolation range determining unit 210, if the latitude and longitude range of the drawing area of the speckle pattern is predetermined (the user can set it by himself), the minimum longitude, the minimum latitude, the maximum longitude, and the maximum latitude of the latitude and longitude range can be directly placed in the range of the target area, and if the latitude and longitude range is not predetermined, the final interpolation range can be determined according to the location information of the weather station.
The interpolation range mainly refers to an area range in which a color spot map needs to be generated, and the interpolation range can be a country, a province and a city or an area in which a related color spot map needs to be generated.
As an example, the interpolation range determination unit 210 may further include:
the target area determining subunit is used for acquiring a meteorological data target area to be subjected to color spot map drawing;
the station information determining subunit is used for acquiring the position information of all weather stations in the target area, wherein the position information comprises longitude and latitude information corresponding to the weather stations;
and the interpolation range determining subunit is used for determining the interpolation range based on the maximum longitude and latitude point and the minimum longitude and latitude point in the position information.
The maximum longitude and latitude points and the minimum longitude and latitude points are used as two diagonal points of the rectangular area, so that a rectangular area can be determined, and the interpolation range can be set to be slightly larger than the rectangular area corresponding to the maximum longitude and latitude points and the minimum longitude and latitude points, so that the edge area of a subsequent color spot image in other processing processes such as cutting cannot be lost.
The above-mentioned mesh data obtaining unit 220 may further include a weather grid drawing unit, which is used for drawing a weather grid. More specifically, the weather grid drawing unit may include:
the origin selecting unit is used for selecting a target point from the longitude and latitude information of the meteorological site as the origin of the display screen;
the intermediate quantity determining unit is used for converting the longitude and latitude of the original point into radian and determining the intermediate quantity of the distance between the X axis and the Y axis where the original point is located;
the geographic distance determining unit is used for determining the geographic distance between the known meteorological station and the origin based on the intermediate quantity and the longitude and latitude of the known meteorological station except the origin;
a grid position determination unit for determining the grid position of the known weather station on the display screen based on the geographic distance.
In the process of drawing the meteorological grid data by the meteorological grid drawing unit, that is, in the process of drawing the grid or converting the longitude and latitude into the pixel point, a target point (for example, a maximum value of the latitude and a minimum value point of the longitude are used as an origin of screen display) can be selected from the longitude and latitude of the meteorological site as an origin; then, converting the longitude and latitude of the meteorological station into radian, and determining the intermediate quantity of the distance between the horizontal axis and the longitudinal axis; and then calculating the geographic distance between the known longitude and latitude points and the X axis and the Y axis of the origin (the step comprises the steps of converting the known longitude and latitude points into radians, then determining the geographic distance between the known point and the origin on the basis of the radians and the X axis and the Y axis), when the geographic distance between all the points and the origin is determined, determining the pixel point position (the position of a grid point) displayed on a screen according to the corresponding geographic distance, and after the grid positions of all the longitude and latitude points are determined, finishing the drawing of the grid.
In the interpolation data obtaining unit 230 of the present invention, performing interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data may further include:
and the assembly data acquisition subunit is used for carrying out data assembly on the mesh point data and acquiring assembly data corresponding to the mesh point data.
The method mainly comprises the steps of splicing the mesh point data into a structure or a form required by rear-end interpolation operation according to a preset rule, and feeding back the assembled data to the rear end so that the rear end can directly perform data operation processing. The front-end data assembly is the prior art in the field, and can be performed in various ways such as MYSQL and the like, and specifically, the web site data can be assembled into a corresponding format or structure and the like according to the requirements of the back-end in processing the data.
And the interpolation data acquisition subunit is used for carrying out interpolation calculation on the assembly data to acquire interpolation data corresponding to the assembly data.
When the assembly data is subjected to interpolation calculation, the terrain of the position of the station can be determined according to the longitude and latitude of the corresponding meteorological station, the interpolation calculation is further realized based on the arcgis, the interpolation data after the interpolation calculation also comprises the corresponding longitude, latitude, height and meteorological element data, the transition between two data for drawing the speckled pattern is smaller as the distance between two adjacent interpolation data is smaller, the accuracy is higher, and the visual embodiment effect is better.
As a specific example, the interpolation calculation of the assembly data according to the present invention can be performed by using the following interpolation formula:
where yc represents interpolated data after interpolation, x represents an observation value of meteorological element data in the grid data, w represents a weight of a grid point adjacent to the observation value x, and f (Δ x, w, Δ h) represents a degree of influence of elevation on a change in the observation value of the adjacent grid point.
For example, the following effects also exist for different meteorological elements:
aiming at the air pressure change:
for temperature changes:
where p represents the gas pressure, t represents the temperature, h represents the height, and Δ h represents the amount of change in the height.
Through carrying out interpolation processing to the mesh data, on the one hand when meteorological element data volume at the meteorological website is less, the accessible interpolation increases data volume to promote the drawing effect of color spot picture, on the other hand, when predicting the meteorological element data in certain region, accessible interpolation algorithm calculates the meteorological element data of interpolation point, also can promote the precision of color spot picture.
It should be noted that, as a specific example only, in the process of interpolating the mesh point data, the interpolation method further includes an inverse distance weighted interpolation method, a kriging interpolation method, a lagrange interpolation method, and the like, where the basic principle of the inverse distance weighted interpolation method is to distribute a series of discrete points on a plane, know the position coordinates (xi, yi) and the attribute values zi (i ═ 1, 2, …), where P (x, y) is any mesh point, and find the P point attribute value through distance weighted interpolation according to the attribute values of the surrounding discrete points. The distance weighted interpolation method integrates the advantages of the adjacent point method of the Thiessen polygon and the gradient method of the multiple regression method, and the exact or smooth interpolation can be carried out on the assumption that the attribute value of the P point is the distance weighted average value of all data points in the local neighborhood.
In addition, the kriging interpolation method mainly considers the variation distribution of spatial attributes at spatial positions, determines a distance range influencing a value to be interpolated, and then estimates the attribute value of the point to be interpolated by using sampling points in the range.
For the aforementioned color patch pattern generating unit 240 of the present invention, the performing color filling based on the interpolation data and a preset filling rule to generate a color patch picture corresponding to the interpolation data may further include:
and the target data acquisition subunit is used for preprocessing the interpolation data and acquiring the processed target data.
The preprocessing of the interpolation data can comprise smoothing the interpolation data, eliminating abnormal values, standardizing and the like, and the preprocessing of the interpolation data can remove abnormal data in the data, enable two adjacent target data to be in smooth transition and further ensure the drawing precision of the color spot picture.
And the color spot picture generation subunit is used for performing color filling on grid points where the target data are located based on the target data and the filling rule so as to generate the color spot picture.
It should be noted that, the color filling of the grid points where the target data is located based on the target data and the filling rule may further include:
a color arrangement table setting unit for setting a color arrangement table including a threshold group and a color corresponding to each meteorological element data;
the color calling unit is used for calling colors in a threshold value group corresponding to the numerical value in the color configuration table according to the numerical value of the meteorological element data in the target data;
and the color spot picture generation unit is used for performing color filling on grid points corresponding to the meteorological element data in the target data based on the colors so as to generate the color spot picture.
The meteorological element data can comprise various meteorological elements such as temperature, precipitation, air pressure, humidity, wind speed and visibility, each meteorological element corresponds to one color spot graph in the process of drawing the color spot picture, and the specific threshold value set and the color can be flexibly adjusted according to requirements.
The threshold value group can be determined according to meteorological element data in the target data, and then the color value at the meteorological element data point can be determined according to the color corresponding to the threshold value group. In addition, the range of the threshold group can be set to other interval forms besides two values in the above table, the more the threshold group is divided, the higher the accuracy of the corresponding color spot map is, the larger the calculation amount is, and the range can be specifically set according to the application scene and the requirement.
For example, when setting the color configuration table, the threshold accuracy level can be set according to the threshold range of the input color patch pattern, the threshold range is divided into a plurality of continuous threshold value groups according to the accuracy level, a corresponding filling color is set for each threshold value group, the color configuration table is stored in the database, meanwhile, a parameter modification interface corresponding to the color configuration table can be provided, the color configuration of the color patch pattern can be conveniently adjusted in the application process, when a background draws the color patch picture according to target data, the corresponding color can be automatically read directly based on the color configuration table, the speed is high, the flexibility is strong, and the method is applicable to the color patch drawing process of various meteorological elements.
In addition, after the color spot picture corresponding to the interpolation data is generated, a cropping display unit may be further included, configured to crop the color spot picture by using a terrain boundary file, so as to obtain a display picture on a display screen.
Specifically, the cutting display unit may further include: the device comprises a terrain boundary file reading subunit, a graphic processing subunit and a graphic processing unit, wherein the terrain boundary file reading subunit is used for reading a preset terrain boundary file and setting the format of the terrain boundary file to be geojson so that the arcgis can judge the graphic range corresponding to the file;
the longitude and latitude transformation unit is used for customizing the map grade and transforming pixel points on the color spot picture into longitude and latitude;
the judging and color filling subunit is used for judging whether the longitude and latitude points converted by the pixel points are in the terrain boundary file by using the arcgis, if so, processing is not carried out, and if not, the color of the pixel points corresponding to the longitude and latitude points is filled into a custom color;
and the display subunit is used for cutting all the longitude and latitude points filled with the colors to determine the display picture, and feeding the display picture back to the front-end display screen for display.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a method for generating a color patch map of meteorological data according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11 and a bus, and may further comprise a computer program, such as a meteorological data mottle map generation program 12, stored in the memory 11 and operable on the processor 10.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of a weather data mottle pattern generation program, but also to temporarily store data that has been output or is to be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (such as a weather data mottle map generation program) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 3 only shows an electronic device with components, it will be understood by a person skilled in the art that the structure shown in fig. 2 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The weather data mottle map generation program 12 stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, can implement:
determining an interpolation range based on the meteorological station position information;
drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid;
carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data;
and performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data.
In addition, an optional technical solution is that the determining an interpolation range based on the weather station location information includes:
acquiring a meteorological data target area to be subjected to color spot graph drawing;
acquiring position information of all meteorological sites in the target area, wherein the position information comprises longitude and latitude information corresponding to the meteorological sites;
and determining the interpolation range based on the maximum longitude and latitude point and the minimum longitude and latitude point in the position information of all the meteorological sites.
In addition, an optional technical solution is that, the drawing a weather grid based on the interpolation range and the latitude and longitude information of the weather site, and obtaining the grid data of each grid point of the weather grid includes:
drawing a meteorological grid in the interpolation range, and enabling all meteorological sites to be respectively positioned on different grid points of the meteorological grid;
acquiring longitude, latitude, altitude and meteorological element data of each grid point of the meteorological grid, wherein the meteorological element data of the grid points without the meteorological site can be set to be preset fixed values;
and combining to form the grid point data of the grid points based on the longitude, latitude, altitude and meteorological element data of the grid points.
In addition, an optional technical solution is that the drawing a meteorological grid within the interpolation range includes:
selecting a target point from the longitude and latitude information of the meteorological site as an origin of a display screen;
converting the longitude and latitude of the original point into radian, and determining the intermediate quantity of the distance between the X axis and the Y axis where the original point is located;
determining the geographic distance between the known meteorological station and the origin based on the intermediate quantity and the longitude and latitude of the known meteorological station except the origin;
determining a grid location of the known weather station on the display screen based on the geographic distance.
In addition, an optional technical solution is that, performing interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data, including:
performing data assembly on the mesh point data to obtain assembly data corresponding to the mesh point data;
and carrying out interpolation calculation on the assembly data to obtain interpolation data corresponding to the assembly data.
In addition, an optional technical solution is that, performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data includes:
preprocessing the interpolation data to obtain processed target data;
and performing color filling on grid points where the target data are located based on the target data and the filling rule to generate the color spot picture.
In addition, an optional technical solution is that, after generating the mottle picture corresponding to the interpolation data, the method further includes:
reading a preset terrain boundary file, and setting the format of the terrain boundary file as geojson so that the arcgis can judge the graphic range corresponding to the file;
customizing the map grade, and converting pixel points on the color spot picture into longitude and latitude;
judging whether the longitude and latitude points after the pixel point conversion are in the terrain boundary file or not by using the arcgis, if so, not processing, and if not, filling the color of the pixel point corresponding to the longitude and latitude points into a custom color;
and cutting all the longitude and latitude points filled with the colors to determine the display picture, and feeding the display picture back to the front-end display screen for display.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiment corresponding to fig. 1, which is not described herein again. It is emphasized that, in order to further ensure the privacy and security of the interpolated data, the interpolated data may also be stored in a node of a blockchain.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for generating a meteorological data color spot map is characterized by comprising the following steps:
determining an interpolation range based on the meteorological station position information;
drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid;
carrying out interpolation calculation on the mesh point data to obtain interpolation data corresponding to the mesh point data;
and performing color filling based on the interpolation data and a preset filling rule to generate a color spot picture corresponding to the interpolation data.
2. The method for generating a weather data stain map of claim 1, wherein determining the interpolation range based on the weather station location information comprises:
acquiring a meteorological data target area to be subjected to color spot graph drawing;
acquiring position information of all meteorological sites in the target area, wherein the position information comprises longitude and latitude information corresponding to the meteorological sites;
and determining the interpolation range based on the maximum longitude and latitude point and the minimum longitude and latitude point in the position information of all the meteorological sites.
3. The method for generating a color spot map of weather data as claimed in claim 1, wherein the step of drawing a weather grid based on the interpolation range and the latitude and longitude information of the weather station and obtaining the dot data of each grid point of the weather grid comprises:
drawing a meteorological grid in the interpolation range, and enabling all meteorological sites to be respectively positioned on different grid points of the meteorological grid;
acquiring longitude, latitude, altitude and meteorological element data of each grid point of the meteorological grid, wherein the meteorological element data of the grid points without the meteorological site can be set to be preset fixed values;
and combining to form the grid point data of the grid points based on the longitude, latitude, altitude and meteorological element data of the grid points.
4. The weather-data speckle pattern generation method of claim 3, wherein the drawing a weather grid within the interpolation range comprises:
selecting a target point from the longitude and latitude information of the meteorological site as an origin of a display screen;
converting the longitude and latitude of the original point into radian, and determining the intermediate quantity of the distance between the X axis and the Y axis where the original point is located;
determining the geographic distance between the known meteorological station and the origin based on the intermediate quantity and the longitude and latitude of the known meteorological station except the origin;
determining a grid location of the known weather station on the display screen based on the geographic distance.
5. The method for generating a meteorological data mottle map according to any one of claims 1 to 4, wherein the performing interpolation calculation on the mesh data to obtain interpolation data corresponding to the mesh data comprises:
performing data assembly on the mesh point data to obtain assembly data corresponding to the mesh point data;
and carrying out interpolation calculation on the assembly data to obtain interpolation data corresponding to the assembly data.
6. The method for generating a color spot map based on meteorological data as claimed in any one of claims 1 to 4, wherein the color filling based on the interpolated data and a preset filling rule to generate the color spot picture corresponding to the interpolated data comprises:
preprocessing the interpolation data to obtain processed target data;
and performing color filling on grid points where the target data are located based on the target data and the filling rule to generate the color spot picture.
7. The method for generating a stain map of meteorological data according to any one of claims 1 to 4, further comprising, after generating the stain picture corresponding to the interpolated data:
reading a preset terrain boundary file, and setting the format of the terrain boundary file as geojson so that the arcgis can judge the graphic range corresponding to the file;
customizing the map grade, and converting pixel points on the color spot picture into longitude and latitude;
judging whether the longitude and latitude points after the pixel point conversion are in the terrain boundary file or not by using the arcgis, if so, not processing, and if not, filling the color of the pixel point corresponding to the longitude and latitude points into a custom color;
and cutting all the longitude and latitude points filled with the colors to determine the display picture, and feeding the display picture back to the front-end display screen for display.
8. A weather data speckle pattern generation apparatus, comprising:
an interpolation range determination unit for determining an interpolation range based on the weather station position information;
the grid data acquisition unit is used for drawing a meteorological grid based on the interpolation range and the latitude and longitude information of the meteorological station, and acquiring grid data of each grid point of the meteorological grid;
an interpolation data acquisition unit, configured to perform interpolation calculation on the mesh point data, and acquire interpolation data corresponding to the mesh point data;
and the color spot image generating unit is used for carrying out color filling on the basis of the interpolation data and a preset filling rule so as to generate a color spot image corresponding to the interpolation data.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of generating a weather data stain map as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for generating a color patch map from meteorological data as claimed in any one of claims 1 to 7.
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