CN117687125A

CN117687125A - Method, processor, device and storage medium for constructing icing grid point data set

Info

Publication number: CN117687125A
Application number: CN202311698833.5A
Authority: CN
Inventors: 王磊; 李波; 冯涛; 李丽; 唐洁; 简洲; 徐勋建; 怀晓伟; 康文军
Original assignee: Hunan Disaster Prevention Technology Co ltd; State Grid Corp of China SGCC; State Grid Hunan Electric Power Co Ltd
Current assignee: Hunan Disaster Prevention Technology Co ltd; State Grid Corp of China SGCC; State Grid Hunan Electric Power Co Ltd
Priority date: 2023-12-11
Filing date: 2023-12-11
Publication date: 2024-03-12

Abstract

The application relates to the technical field of power grid weather forecast, in particular to a method, a processor, a device and a storage medium for constructing an icing grid point data set. The method comprises the following steps: acquiring terrain elevation data, historical meteorological data, historical ground temperature data and historical icing data in a target area; determining an observation grid distance according to the number of the historical meteorological data to obtain an observation network; performing horizontal interpolation processing on the historical meteorological data and the historical ground temperature data to determine grid meteorological data and grid ground temperature data of each grid point in an observation network; for each grid point, determining icing values of the grid points corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid point, the grid meteorological data and the grid ground temperature data; determining a plurality of icing observation positions in a target area; and determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

Description

Method, processor, device and storage medium for constructing icing grid point data set

Technical Field

The application relates to the technical field of power grid weather forecast, in particular to a method, a processor, a device and a storage medium for constructing an icing grid point data set.

Background

Ice coating of a power transmission line is a phenomenon that water in the cloud, mist or air collides with the surface of a ground lead of the power transmission line and freezes at 0 ℃ or lower. Various hazards may be brought to the transmission line when it is severely iced, including damage to towers, line tripping, severe sagging of conductors, etc.

The historical icing data set is obtained on the premise of developing icing rule analysis and icing prediction. At present, the icing observation mainly comprises a manual line inspection observation mode, a tension sensor monitoring mode, a picture identification mode and the like, but the cost is relatively high, the monitoring mode is carried out at a single point, the icing condition of an important icing point and an easily icing point is favorable to be mastered, and a large-scale icing rule cannot be mastered.

Disclosure of Invention

An object of an embodiment of the present application is to provide a method, a processor, an apparatus and a storage medium for constructing an icing grid data set that provides a large amount of icing data.

To achieve the above object, an embodiment of the present application provides a method for constructing an icing grid point data set, including:

Acquiring terrain elevation data, historical meteorological data, historical ground temperature data and historical icing data in a target area;

determining an observation grid distance according to the number of the historical meteorological data, and dividing a target area according to the observation grid distance to obtain an observation network, wherein the observation network comprises a plurality of grid points;

performing horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network to determine grid meteorological data and grid ground temperature data of each grid point in the observation network;

determining the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data;

for each grid point in the observation network, determining icing values of the grid points corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid points, the grid meteorological data and the grid ground temperature data;

determining a plurality of icing observation positions in a target area;

for each icing observation position, determining a grid point closest to the icing observation position in the observation network as a grid point to be updated;

And determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

In the embodiment of the present application, for each grid point in the observation network, determining, according to the existence of the inverse temperature of the grid point, the grid meteorological data, and the grid ground temperature data, the icing value of the grid point corresponding to the historical meteorological data and the historical ground temperature data includes: for each grid point in the observation network, determining the icing value of the grid point under the condition that the grid point is determined to have no reverse temperature; and under the condition that the grid point has the reverse temperature, acquiring the grid ground temperature at the grid point, and determining the icing condition of the grid point according to the grid ground temperature.

In the embodiment of the application, determining the icing condition of the grid points according to the grid ground temperature comprises: determining that the grid points are not covered with ice under the condition that the grid points are determined to have inverse temperature and the grid ground temperature of the grid points is not in a preset range; and under the condition that the grid point has the inverse temperature and the grid ground temperature of the grid point is in a preset range, determining ice coating values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the grid meteorological data and the grid ground temperature data.

In the embodiment of the present application, determining the existence of the inverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data includes: determining, for each grid point, a terrain elevation of the grid point from the terrain elevation data; determining, for each grid point, an altitude temperature corresponding to the terrain elevation from grid meteorological data for the grid point; for each grid point, determining that a grid point has an inverse temperature if a difference between grid ground temperature data of the grid point and an altitude temperature of the grid point is greater than a first preset value; for each grid point, determining that there is no inverse temperature at the grid point if a difference between grid ground temperature data at the grid point and an altitude temperature at the grid point is less than a first preset value.

In the embodiment of the application, performing horizontal interpolation processing on historical meteorological data and historical ground temperature data in an observation network to determine grid meteorological data and grid ground temperature data of each grid point in the observation network includes: determining the longitude and latitude coordinates and the influence radius of the historical meteorological data or the historical ground temperature data according to each historical meteorological data or the historical ground temperature data; determining, for each grid point, grid longitude and latitude coordinates of the grid point; for each historical meteorological data or historical ground temperature data, determining grid meteorological data and grid ground temperature of each grid point according to the longitude and latitude coordinates and the influence radius of the data and the grid longitude and latitude coordinates of each grid point.

In the embodiment of the present application, horizontal interpolation is performed by the formula (1):

wherein,Z ₀ representing the reconstructed parameter estimate, Z, by horizontal interpolation _i As the original value of the parameter, p is a constant; d (D) _i Is the distance X _o And Y _o For longitude and latitude coordinates of the defined grid point, X _i And Y _i Is the latitude and longitude coordinates of the grid points of the original elements.

In an embodiment of the present application, determining an observation grid distance according to the number of historical meteorological data, and dividing a target area according to the observation grid distance to obtain an observation network includes: when the historical meteorological data is larger than the second preset value, determining that the grid resolution is a third preset value, and setting a corresponding observation grid distance according to the grid resolution; and under the condition that the historical meteorological data is in the first threshold range, determining the grid resolution as a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution.

A second aspect of the present application provides a processor configured to perform the construction of the unique constant fingers of the icing grid data set of any of the above.

A third aspect of the present application provides an apparatus for constructing an icing grid data set, the apparatus comprising:

the acquisition module is used for acquiring terrain elevation data, historical meteorological data, historical ground temperature data and historical icing data in the target area;

The observation network determining module is used for determining an observation grid distance according to the number of the historical meteorological data and dividing a target area according to the observation grid distance to obtain an observation network, wherein the observation network comprises a plurality of grid points;

the grid point data determining module is used for carrying out horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network so as to determine grid meteorological data and grid ground temperature data of each grid point in the observation network; determining the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data; for each grid point in the observation network, determining icing values of the grid points corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid points, the grid meteorological data and the grid ground temperature data;

the observation position determining module is used for determining a plurality of icing observation positions in the target area;

the data updating module is used for determining a grid point closest to the icing observation position in the observation network as a grid point to be updated according to each icing observation position; and determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

In this embodiment of the present application, the grid point data determining module, configured to determine, for each grid point in the observation network, an icing value of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to an inverse temperature existence condition of the grid point, the grid meteorological data, and the grid ground temperature data, includes: for each grid point in the observation network, determining the icing value of the grid point under the condition that the grid point is determined to have no reverse temperature; and under the condition that the grid point has the reverse temperature, acquiring the grid ground temperature at the grid point, and determining the icing condition of the grid point according to the grid ground temperature.

In an embodiment of the present application, the grid point data determining module, configured to determine an icing condition of a grid point according to a grid ground temperature, includes: determining that the grid points are not covered with ice under the condition that the grid points are determined to have inverse temperature and the grid ground temperature of the grid points is not in a preset range; and under the condition that the grid point has the inverse temperature and the grid ground temperature of the grid point is in a preset range, determining ice coating values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the grid meteorological data and the grid ground temperature data.

In an embodiment of the present application, the grid point data determining module is configured to determine, according to terrain elevation data of an area where an observation network is located, grid meteorological data of each grid point, and grid ground temperature data, an existence condition of an inverse temperature of each grid point in the observation network, including: determining, for each grid point, a terrain elevation of the grid point from the terrain elevation data; determining, for each grid point, an altitude temperature corresponding to the terrain elevation from grid meteorological data for the grid point; for each grid point, determining that a grid point has an inverse temperature if a difference between grid ground temperature data of the grid point and an altitude temperature of the grid point is greater than a first preset value; for each grid point, determining that there is no inverse temperature at the grid point if a difference between grid ground temperature data at the grid point and an altitude temperature at the grid point is less than a first preset value.

In an embodiment of the present application, the grid point data determining module, configured to perform a horizontal interpolation process on historical weather data and historical ground temperature data in an observation network, to determine grid weather data and grid ground temperature data of each grid point in the observation network includes: determining the longitude and latitude coordinates and the influence radius of the historical meteorological data or the historical ground temperature data according to each historical meteorological data or the historical ground temperature data; determining, for each grid point, grid longitude and latitude coordinates of the grid point; for each historical meteorological data or historical ground temperature data, determining grid meteorological data and grid ground temperature of each grid point according to the longitude and latitude coordinates and the influence radius of the data and the grid longitude and latitude coordinates of each grid point.

In the embodiment of the present application, the grid point data determining module is further configured to: horizontal interpolation is performed by the formula (1):

In an embodiment of the present application, the observation network determining module, configured to determine an observation grid distance according to a number of historical meteorological data, and divide a target area according to the observation grid distance to obtain an observation network includes: when the historical meteorological data is larger than the second preset value, determining that the grid resolution is a third preset value, and setting a corresponding observation grid distance according to the grid resolution; and under the condition that the historical meteorological data is in the first threshold range, determining the grid resolution as a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution.

A fourth aspect of the present application provides a machine-readable storage medium having stored thereon instructions for causing a machine to perform a method of constructing an icing grid data set according to any of the above.

According to the technical scheme, basic data is provided for line icing analysis by establishing the gridding data, so that rule analysis and prediction model research and development are performed in advance, and equipment property loss is reduced.

Additional features and advantages of embodiments of the present application will be set forth in the detailed description that follows.

Drawings

The accompanying drawings are included to provide a further understanding of embodiments of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and together with the description serve to explain, without limitation, the embodiments of the present application. In the drawings:

FIG. 1 schematically illustrates a flow chart of a method of constructing an icing grid data set according to an embodiment of the present application;

FIG. 2 schematically illustrates a structural schematic of an apparatus for constructing an icing grid data set according to an embodiment of the present application;

fig. 3 schematically shows an internal structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific implementations described herein are only for illustrating and explaining the embodiments of the present application, and are not intended to limit the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.

It should be noted that, in the embodiment of the present application, directional indications (such as up, down, left, right, front, and rear … …) are referred to, and the directional indications are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be regarded as not exist and not within the protection scope of the present application.

Fig. 1 schematically illustrates a flowchart of a method of constructing an icing grid data set according to an embodiment of the present application, as shown in fig. 1, comprising the steps of:

Step 101, obtaining terrain elevation data, historical meteorological data, historical ground temperature data and historical icing data in a target area;

102, determining an observation grid distance according to the number of historical meteorological data, and dividing a target area according to the observation grid distance to obtain an observation network, wherein the observation network comprises a plurality of grid points;

step 103, performing horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network to determine grid meteorological data and grid ground temperature data of each grid point in the observation network;

104, determining the existence condition of the inverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data;

step 105, determining ice coating values of grid points corresponding to historical meteorological data and historical ground temperature data according to the existence condition of inverse temperature of the grid points, the grid meteorological data and the grid ground temperature data aiming at each grid point in the observation network;

step 106, determining a plurality of icing observation positions in the target area;

step 107, determining, for each icing observation position, a grid point closest to the icing observation position in the observation network as a grid point to be updated;

Step 108, determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

The processor may select an area to be constructed of the ice sheet data set according to data input by the user, and determine the area as a target area. The processor may obtain terrain elevation data, historical meteorological data, historical ground temperature data, and historical icing data within the target area. After the processor acquires the historical meteorological data, an observation grid distance can be determined according to the number of the historical meteorological data, and the target area is divided according to the determined observation grid distance, so that an observation network aiming at the target area is obtained, wherein the observation network comprises a plurality of grid points. The processor can perform horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network, so that the historical meteorological data and the historical ground temperature data in the observation network are reconstructed to obtain grid meteorological data and grid ground temperature data at each grid point in the observation network.

The processor may determine that there is an inverse temperature at each grid point within the observation network, that is, determine whether there is an inverse temperature at each grid point of the observation network, based on terrain elevation data of an area where the observation network is located (i.e., terrain elevation data within the target area), grid meteorological data for each grid point of the observation network, and grid ground temperature data. After determining the existence of the inverse temperature of each grid point in the observation network, the processor may determine, for each grid point in the observation network, an icing value at the grid point corresponding to the historical meteorological data and the historical ground temperature data based on the existence of the inverse temperature of the grid point, the grid meteorological data, and the grid ground temperature data. For example, assuming that the processor acquires historical weather data and historical ground temperature for each day of the past year, the processor may determine the icing value for the grid point from the historical weather data and the historical ground temperature for each day.

The processor can determine a plurality of icing observation positions in the target area, the icing observation positions can accurately observe actual icing values of the observation positions, and the processor can determine a grid point closest to the icing observation positions in an observation network as a grid point to be updated according to each icing observation position. The processor may acquire historical icing data observed by the plurality of icing observation positions, and determine an icing value of a grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated. That is, the processor may screen out, for each grid point in the observation network, the grid point corresponding to the icing observation position according to the plurality of icing observation positions in the target area after determining the icing value of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the existence of the inverse temperature of the grid point, the grid meteorological data and the grid ground temperature data, and replace the icing value of the corresponding grid point with the historical icing data detected by the icing observation position.

In one embodiment, for each grid point within the observation network, determining icing values for the grid point corresponding to historical meteorological data and historical ground temperature data from the grid point's inverse temperature presence, grid meteorological data, and grid ground temperature data comprises: for each grid point in the observation network, determining the icing value of the grid point under the condition that the grid point is determined to have no reverse temperature; and under the condition that the grid point has the reverse temperature, acquiring the grid ground temperature at the grid point, and determining the icing condition of the grid point according to the grid ground temperature.

For each grid point within the observation network, the processor may determine a reverse temperature presence of each grid point within the observation network from terrain elevation data of an area in which the observation network is located, grid meteorological data for each grid point, and grid ground temperature data. The temperature in the atmosphere generally decreases with increasing altitude (i.e. the temperature decreases toward higher altitude), and the temperature of the temperature inversion layer increases with increasing altitude, so that the calculation of the temperature inversion layer mainly takes into consideration the vertical decreasing rate of the temperature. For each grid point within the observation grid, the processor may obtain an altitude for that grid point and determine a temperature value at an altitude corresponding to the altitude from the altitude for that grid point, e.g., assuming the processor determines that the altitude for that grid point is 200 meters, the processor may obtain a temperature value at an altitude of 800 meters. The processor may determine a temperature value at a corresponding altitude from the grid meteorological data for the grid point, thereby determining whether there is an inverse temperature for the grid point based on a difference between the grid ground temperature data at the grid point and the temperature value at the altitude corresponding to the grid point. In the case that the difference between the two is smaller than zero, the processor can determine that the grid point has no inverse temperature, and at the moment, the processor can determine that the grid point is not easy to be covered, so that the icing value of the grid point is not determined. In the case where the difference between the two is greater than zero, the processor may determine that there is an inverse temperature at the grid point, and the processor may determine the icing condition of the grid point based on the grid ground temperature at the grid point.

In one embodiment, determining icing conditions for grid points based on grid ground temperature includes: determining that the grid points are not covered with ice under the condition that the grid points are determined to have inverse temperature and the grid ground temperature of the grid points is not in a preset range; and under the condition that the grid point has the inverse temperature and the grid ground temperature of the grid point is in a preset range, determining ice coating values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the grid meteorological data and the grid ground temperature data.

For each grid point in the observation network, the processor can detect the grid ground temperature at the grid point under the condition that the grid point is determined to have the reverse temperature, judge whether the grid ground temperature at the grid point is in a preset range, and under the condition that the processor determines that the grid ground temperature at the grid point is not in the preset range, the processor can determine that the icing condition does not occur at the grid point, so that the icing value at the grid point can not be calculated subsequently. In the case where the processor determines that the grid floor temperature at the grid point is within the preset range, the processor may determine icing values at the grid point corresponding to the historical meteorological data and the historical floor temperature data from the grid meteorological data and the grid floor temperature data at the grid point.

In one embodiment, determining the presence of an inverse temperature for each grid point within the observation network based on terrain elevation data, grid meteorological data for each grid point, and grid ground temperature data for an area within the observation network comprises: determining, for each grid point, a terrain elevation of the grid point from the terrain elevation data; determining, for each grid point, an altitude temperature corresponding to the terrain elevation from grid meteorological data for the grid point; for each grid point, determining that a grid point has an inverse temperature if a difference between grid ground temperature data of the grid point and an altitude temperature of the grid point is greater than a first preset value; for each grid point, determining that there is no inverse temperature at the grid point if a difference between grid ground temperature data at the grid point and an altitude temperature at the grid point is less than a first preset value.

The temperature in the atmosphere generally decreases with increasing altitude (i.e. the temperature decreases toward higher altitude), and the temperature of the temperature inversion layer increases with increasing altitude, so that the calculation of the temperature inversion layer mainly takes into consideration the vertical decreasing rate of the temperature. The processor can acquire the terrain elevation data of the area where the observation network is located, and determine the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data, the grid meteorological data of each grid point and the grid ground temperature data. For each grid point, the processor may determine the terrain elevation at the grid point from the terrain elevation data and determine, from the grid meteorological data at the grid point, the elevation temperature corresponding to the terrain elevation at the grid point. For example, assuming that the processor determines from the terrain elevation data that the terrain elevation of the grid point is 200 meters, the processor may determine from the grid meteorological data at the grid point that the elevation temperature at 800 meters is at an elevation temperature corresponding to the 200 meters terrain elevation according to a vertical rate of decrease in temperature. After determining the altitude temperature at the grid point, the processor may acquire grid ground temperature data at the grid point, the processor may set a first preset value according to data input by a user, and determine whether a difference between the grid ground temperature data at the grid point and the altitude temperature of the grid point is smaller than the first preset value, in case it is determined that the difference between the grid ground temperature data at the grid point and the altitude temperature of the grid point is larger than the first preset value, the processor may determine that the grid point has an inverse temperature, and in case it is determined that the difference between the grid ground temperature data at the grid point and the altitude temperature of the grid point is smaller than the first preset value, the processor may determine that the grid point does not have an inverse temperature. For example, assuming that the first preset value is 0, for each grid point, the processor may determine that there is an inverse temperature for the grid point if the difference between the grid floor temperature data for the grid point and the altitude temperature for the grid point is greater than 0. In the case where the difference between the grid ground temperature data of the grid point and the altitude temperature of the grid point is less than 0, the processor may determine that the grid point does not have a reverse temperature.

In one embodiment, horizontally interpolating historical meteorological data and historical ground temperature data within an observation network to determine grid meteorological data and grid ground temperature data for each grid point within the observation network comprises: determining the longitude and latitude coordinates and the influence radius of the historical meteorological data or the historical ground temperature data according to each historical meteorological data or the historical ground temperature data; determining, for each grid point, grid longitude and latitude coordinates of the grid point; for each historical meteorological data or historical ground temperature data, determining grid meteorological data and grid ground temperature of each grid point according to the longitude and latitude coordinates and the influence radius of the data and the grid longitude and latitude coordinates of each grid point.

In one embodiment, the horizontal interpolation is performed by equation (1):

After the processor acquires the historical meteorological data and the historical ground temperature data in the target area, the processor can determine longitude and latitude coordinates and an influence radius of the historical meteorological data or the historical ground temperature data for each historical meteorological data or each historical ground temperature data, and the processor can acquire the longitude and latitude coordinates of each grid point for each grid point in the observation network. For each historical meteorological data or each historical ground temperature data, the processor can determine the longitude and latitude coordinates and the radius of influence and the like according to each data Longitude and latitude coordinates of each grid point pass formula (1)The horizontally interpolated grid data values are determined. Wherein (1)>Z ₀ Representing the reconstructed parameter estimate, Z, by horizontal interpolation _i As the original value of the parameter, p is a constant; d (D) _i Is the distance X _o And Y _o For longitude and latitude coordinates of the defined grid point, X _i And Y _i Is the latitude and longitude coordinates of the grid points of the original elements. Wherein the processor may set P to 2 and n to 4.

In one embodiment, determining an observation grid distance from the number of historical meteorological data and partitioning the target area by the observation grid distance to obtain an observation network comprises: when the historical meteorological data is larger than the second preset value, determining that the grid resolution is a third preset value, and setting a corresponding observation grid distance according to the grid resolution; and under the condition that the historical meteorological data is in the first threshold range, determining the grid resolution as a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution.

After the processor acquires the historical meteorological data, the grid distance of the observation network can be determined according to the number of the historical meteorological data, and the target area is divided according to the observation grid distance so as to obtain the observation network corresponding to the target area. When the historical meteorological data is larger than the second preset value, the processor can determine that the grid resolution is a third preset value, and set a corresponding observation grid distance according to the grid resolution; and under the condition that the historical meteorological data is in the first threshold range, determining the grid resolution as a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution. For example, assuming that the processor sets the second preset value to 5.5 ten thousand, the first threshold range to 2300 to 2500, the third preset value to 3 km, and the fourth preset value to 25 km, that is, when the processor determines that the number of historical meteorological data is 5.5 ten thousand or more, the grid resolution may be set to 3 km, wherein the longitude and latitude range of the 3 km grid is 70 to 140 ° E,20 to 60 ° E, and thus the processor may set the observation grid distance to 0.03 °. In the event that the processor determines that the number of historical meteorological data is between 2300 and 2500, the processor may set the grid resolution to 25 kilometers, where the latitude and longitude range of the 25 kilometer grid is 70-140 ° E,20-60 ° E, and the processor may set the observation grid distance to 0.25 °.

In one embodiment, a processor is provided that is configured to perform the method of constructing an icing grid point dataset of any of the above.

The processor may select an area to be constructed of the ice sheet data set according to data input by the user, and determine the area as a target area. The processor may obtain terrain elevation data, historical meteorological data, historical ground temperature data, and historical icing data within the target area. After the processor acquires the historical meteorological data, an observation grid distance can be determined according to the number of the historical meteorological data, and the target area is divided according to the determined observation grid distance, so that an observation network aiming at the target area is obtained, wherein the observation network comprises a plurality of grid points.

After the processor acquires the historical meteorological data and the historical ground temperature data in the target area, the processor can determine longitude and latitude coordinates and an influence radius of the historical meteorological data or the historical ground temperature data according to each historical meteorological data or each historical ground temperature data, and the processor can also acquire longitude and latitude coordinates of each grid point in the observation network. For each historical weather data or each historical ground temperature data, the processor may determine grid weather data and grid ground temperature data at each grid point within the observation network from the latitude and longitude coordinates of each data, the radius of influence, and the latitude and longitude coordinates of each grid point.

The temperature in the atmosphere generally decreases with increasing altitude (i.e. the temperature decreases toward higher altitude), and the temperature of the temperature inversion layer increases with increasing altitude, so that the calculation of the temperature inversion layer mainly takes into consideration the vertical decreasing rate of the temperature. The processor can acquire the terrain elevation data of the area where the observation network is located, and determine the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data, the grid meteorological data of each grid point and the grid ground temperature data. For each grid point, the processor may determine the terrain elevation at the grid point from the terrain elevation data and determine, from the grid meteorological data at the grid point, the elevation temperature corresponding to the terrain elevation at the grid point. For example, assuming that the processor determines from the terrain elevation data that the terrain elevation of the grid point is 200 meters, the processor may determine from the grid meteorological data at the grid point that the elevation temperature at 800 meters is at an elevation temperature corresponding to the 200 meters terrain elevation according to a vertical rate of decrease in temperature. After determining the altitude temperature at the grid point, the processor may acquire grid ground temperature data at the grid point, the processor may set a first preset value according to data input by a user, and determine whether a difference between the grid ground temperature data at the grid point and the altitude temperature of the grid point is smaller than the first preset value, for example, if the first preset value is set to 0, the processor may determine that the grid point has no inverse temperature if the difference between the grid ground temperature data at the grid point and the altitude temperature at the grid point is smaller than 0, and at this time, the processor may determine that the grid point is not prone to ice coating, so that the ice coating value of the grid point is not determined. The processor may determine that there is a reverse temperature at the grid point and determine an icing condition of the grid point from the grid ground temperature at the grid point in the event that the difference between the grid ground temperature data of the grid point and the altitude temperature of the grid point is greater than 0.

After determining the icing value corresponding to each grid point of the observation network, the processor can determine a plurality of icing observation positions in the target area, the icing observation positions can accurately observe the actual icing value of the observation position, and for each icing observation position, the processor can determine the grid point closest to the icing observation position in the observation network as the grid point to be updated. The processor may acquire historical icing data observed by the plurality of icing observation positions, and determine an icing value of a grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated. That is, the processor may screen out, for each grid point in the observation network, the grid point corresponding to the icing observation position according to the plurality of icing observation positions in the target area after determining the icing value of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the existence of the inverse temperature of the grid point, the grid meteorological data and the grid ground temperature data, and replace the icing value of the corresponding grid point with the historical icing data detected by the icing observation position.

A schematic structural diagram of an apparatus 200 for constructing an icing grid data set is schematically shown in fig. 2, the apparatus comprising:

an acquisition module 201, configured to acquire terrain elevation data, historical meteorological data, historical ground temperature data, and historical icing data in a target area;

an observation network determining module 202, configured to determine an observation grid distance according to the number of historical meteorological data, and divide a target area according to the observation grid distance to obtain an observation network, where the observation network includes a plurality of grid points;

a grid point data determining module 203, configured to perform horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network, so as to determine grid meteorological data and grid ground temperature data of each grid point in the observation network; determining the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data; for each grid point in the observation network, determining icing values of the grid points corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid points, the grid meteorological data and the grid ground temperature data;

An observation position determining module 204 configured to determine a plurality of ice-coating observation positions within the target area;

a data updating module 205, configured to determine, for each icing observation position, a grid point closest to the icing observation position in the observation network as a grid point to be updated; and determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

In one embodiment, as shown in the apparatus 200 for constructing an ice coating grid data set in fig. 2, the grid point data determining module 203 is configured to determine, for each grid point in the observation network, an ice coating value of the grid point corresponding to the historical weather data and the historical ground temperature data according to an existence of an inverse temperature of the grid point, the grid weather data, and the grid ground temperature data, where the determining includes: for each grid point in the observation network, determining the icing value of the grid point under the condition that the grid point is determined to have no reverse temperature; and under the condition that the grid point has the reverse temperature, acquiring the grid ground temperature at the grid point, and determining the icing condition of the grid point according to the grid ground temperature.

In one embodiment, the apparatus 200 for constructing an ice sheet data set as shown in fig. 2, the grid point data determining module 203, for determining an ice sheet condition of a grid point according to a grid ground temperature, includes: determining that the grid points are not covered with ice under the condition that the grid points are determined to have inverse temperature and the grid ground temperature of the grid points is not in a preset range; and under the condition that the grid point has the inverse temperature and the grid ground temperature of the grid point is in a preset range, determining ice coating values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the grid meteorological data and the grid ground temperature data.

In one embodiment, as shown in the apparatus 200 for constructing an ice-covered grid data set in fig. 2, the grid point data determining module 203 is configured to determine, according to the terrain elevation data of the area where the observation network is located, grid meteorological data of each grid point, and grid ground temperature data, a reverse temperature existence condition of each grid point in the observation network includes: determining, for each grid point, a terrain elevation of the grid point from the terrain elevation data; determining, for each grid point, an altitude temperature corresponding to the terrain elevation from grid meteorological data for the grid point; for each grid point, determining that a grid point has an inverse temperature if a difference between grid ground temperature data of the grid point and an altitude temperature of the grid point is greater than a first preset value; for each grid point, determining that there is no inverse temperature at the grid point if a difference between grid ground temperature data at the grid point and an altitude temperature at the grid point is less than a first preset value.

In one embodiment, the apparatus 200 for constructing an ice sheet data set as shown in fig. 2, the grid point data determining module 203 for performing a horizontal interpolation process on the historical meteorological data and the historical ground temperature data in the observation network to determine grid meteorological data and grid ground temperature data of each grid point in the observation network includes: determining the longitude and latitude coordinates and the influence radius of the historical meteorological data or the historical ground temperature data according to each historical meteorological data or the historical ground temperature data; determining, for each grid point, grid longitude and latitude coordinates of the grid point; for each historical meteorological data or historical ground temperature data, determining grid meteorological data and grid ground temperature of each grid point according to the longitude and latitude coordinates and the influence radius of the data and the grid longitude and latitude coordinates of each grid point.

In one embodiment, the apparatus 200 for constructing an ice-covered grid data set as shown in fig. 2, the grid point data determining module 203 is further configured to: horizontal interpolation is performed by the formula (1):

In one embodiment, the apparatus 200 for constructing an ice sheet data set as shown in fig. 2, the observation network determining module 202 for determining an observation grid distance according to the number of historical meteorological data, and dividing the target area according to the observation grid distance to obtain an observation network includes: when the historical meteorological data is larger than the second preset value, determining that the grid resolution is a third preset value, and setting a corresponding observation grid distance according to the grid resolution; and under the condition that the historical meteorological data is in the first threshold range, determining the grid resolution as a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution.

Embodiments of the present application also provide a machine-readable storage medium having stored thereon instructions for causing a machine to perform the above-described method of constructing a data set of icing grid points.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 3. The computer device includes a processor a01, a network interface a02, a memory (not shown) and a database (not shown) connected by a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes internal memory a03 and nonvolatile storage medium a04. The nonvolatile storage medium a04 stores an operating system B01, a computer program B02, and a database (not shown in the figure). The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a04. The database of the computer device may be used to store data related to weather data and the like. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program B02, when executed by the processor a01, implements a method of constructing an ice coating grid point dataset.

FIG. 1 is a flow diagram of a method of constructing an ice coating grid point dataset in one embodiment. It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly stated herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of other steps or sub-steps of other steps.

The embodiment of the application provides equipment, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the following steps: acquiring terrain elevation data, historical meteorological data, historical ground temperature data and historical icing data in a target area; determining an observation grid distance according to the number of the historical meteorological data, and dividing a target area according to the observation grid distance to obtain an observation network, wherein the observation network comprises a plurality of grid points; performing horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network to determine grid meteorological data and grid ground temperature data of each grid point in the observation network; determining the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data; for each grid point in the observation network, determining icing values of the grid points corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid points, the grid meteorological data and the grid ground temperature data; determining a plurality of icing observation positions in a target area; for each icing observation position, determining a grid point closest to the icing observation position in the observation network as a grid point to be updated; and determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

In one embodiment, the horizontal interpolation is performed by equation (1):

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.

Claims

1. A method of constructing an icing grid data set, the method comprising:

determining an observation grid distance according to the number of the historical meteorological data, and dividing the target area according to the observation grid distance to obtain an observation network, wherein the observation network comprises a plurality of grid points;

For each grid point in an observation network, determining icing values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid point, grid meteorological data and grid ground temperature data;

determining a plurality of icing observation positions in the target area;

2. The method of constructing an icing grid point dataset according to claim 1 wherein determining, for each grid point within an observation network, an icing value for the grid point corresponding to the historical meteorological data and the historical ground temperature data from the grid ground temperature data, grid meteorological data, and inverted temperature presence of the grid point comprises:

for each grid point in an observation network, if the grid point is determined to have no reverse temperature, determining the icing value of the grid point;

And under the condition that the grid point has the reverse temperature, acquiring the grid ground temperature at the grid point, and determining the icing condition of the grid point according to the grid ground temperature.

3. The method of constructing an icing grid point dataset of claim 2 wherein determining an icing condition for the grid point from the grid ground temperature comprises:

determining that ice coating condition does not occur on the grid points under the condition that the grid points are determined to have inverse temperature and the grid ground temperature of the grid points is not in a preset range;

and under the condition that the grid point has inverse temperature and the grid ground temperature of the grid point is in the preset range, determining ice covering values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the grid meteorological data and the grid ground temperature data.

4. The method of constructing an icing grid data set according to claim 1, wherein said determining the existence of an inverse temperature for each grid point within said observation network based on terrain elevation data, grid meteorological data for each grid point, and grid ground temperature data for an area in which said observation network is located comprises:

Determining, for each grid point, a terrain elevation of the grid point from the terrain elevation data;

determining, for each grid point, an altitude temperature corresponding to the terrain elevation from grid meteorological data for the grid point;

for each grid point, determining that an inverse temperature exists for the grid point if a difference between grid ground temperature data for the grid point and an altitude temperature for the grid point is greater than a first preset value;

for each grid point, determining that there is no inverse temperature for the grid point if a difference between grid ground temperature data for the grid point and an altitude temperature for the grid point is less than the first preset value.

5. The method of constructing an icing grid data set according to claim 1, wherein said horizontally interpolating historical meteorological data and historical ground temperature data within said observation network to determine grid meteorological data and grid ground temperature data for each grid point within said observation network comprises:

determining data longitude and latitude coordinates and an influence radius of the historical meteorological data or the historical ground temperature data aiming at each historical meteorological data or the historical ground temperature data;

Determining, for each grid point, grid longitude and latitude coordinates of the grid point;

and determining grid meteorological data and grid ground temperature of each grid point according to the longitude and latitude coordinates of the data and the influence radius and the grid longitude and latitude coordinates of each grid point aiming at each historical meteorological data or historical ground temperature data.

6. The method of constructing an icing grid data set according to claim 1 or 5 further comprising horizontal interpolation by equation (1):

7. The method of constructing an icing grid point dataset of claim 1 wherein determining an observation grid distance from the number of historical meteorological data and partitioning the target area by the observation grid distance to obtain an observation network comprises:

when the historical meteorological data is larger than a second preset value, determining that the grid resolution is a third preset value, and setting a corresponding observation grid distance according to the grid resolution;

And when the historical meteorological data is in the first threshold range, determining that the grid resolution is a fourth preset value, and setting a corresponding observation grid distance according to the grid resolution.

8. A processor configured to perform the method of constructing a data set of icing grid points of any of claims 1 to 7.

9. An apparatus for constructing an ice coating grid point dataset, the apparatus comprising:

an observation network determining module, configured to determine an observation mesh distance according to the number of historical meteorological data, and divide the target area according to the observation mesh distance to obtain an observation network, where the observation network includes a plurality of grid points;

the grid point data determining module is used for carrying out horizontal interpolation processing on the historical meteorological data and the historical ground temperature data in the observation network so as to determine grid meteorological data and grid ground temperature data of each grid point in the observation network; determining the existence condition of the reverse temperature of each grid point in the observation network according to the terrain elevation data of the area where the observation network is located, the grid meteorological data of each grid point and the grid ground temperature data; for each grid point in an observation network, determining icing values of the grid point corresponding to the historical meteorological data and the historical ground temperature data according to the existence condition of the inverse temperature of the grid point, grid meteorological data and grid ground temperature data;

the data updating module is used for determining a grid point closest to the icing observation position in the observation network as a grid point to be updated aiming at each icing observation position; and determining the icing value of the grid point to be updated as historical icing data of the icing observation position corresponding to the grid point to be updated.

10. The apparatus for constructing an icing grid point data set according to claim 9, wherein the grid point data determination module for determining, for each grid point within an observation network, an icing value of the grid point corresponding to the historical meteorological data and the historical ground temperature data from a counter temperature presence condition of the grid point, grid meteorological data, and grid ground temperature data comprises:

11. The apparatus for constructing an icing grid point data set according to claim 10 wherein said grid point data determination module for determining an icing condition for said grid point from said grid ground temperature comprises:

12. The apparatus for constructing an icing grid data set according to claim 9, wherein the grid point data determination module for determining a reverse temperature presence condition of each grid point within the observation network from terrain elevation data of an area where the observation network is located, grid meteorological data of each grid point, and grid ground temperature data comprises:

13. The apparatus for constructing an icing grid data set according to claim 9, wherein said grid point data determination module for horizontally interpolating historical meteorological data and historical ground temperature data within said observation network to determine grid meteorological data and grid ground temperature data for each grid point within said observation network comprises: determining data longitude and latitude coordinates and an influence radius of the historical meteorological data or the historical ground temperature data aiming at each historical meteorological data or the historical ground temperature data;

14. The apparatus for constructing an icing grid data set according to claim 9 wherein said grid data determination module is further for: horizontal interpolation is performed by the formula (1):

15. The apparatus for constructing an icing grid point dataset according to claim 9 wherein the observation network determination module for determining an observation grid distance from the number of historical meteorological data and partitioning the target area by the observation grid distance to obtain an observation network comprises:

16. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the method of constructing a icing grid data set according to any of claims 1 to 7.