CN115687805A - Meteorological data query method and system based on position - Google Patents

Meteorological data query method and system based on position Download PDF

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CN115687805A
CN115687805A CN202211713233.7A CN202211713233A CN115687805A CN 115687805 A CN115687805 A CN 115687805A CN 202211713233 A CN202211713233 A CN 202211713233A CN 115687805 A CN115687805 A CN 115687805A
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weather
meteorological
target
grid
distance
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CN115687805B (en
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李显风
袁正国
邓卫华
周雪莹
杨立苑
胡丽丽
刘喆玥
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Jiangxi Meteorological Information Center Jiangxi Meteorological Training Center Jiangxi Rural Economic Information Center
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Jiangxi Meteorological Information Center Jiangxi Meteorological Training Center Jiangxi Rural Economic Information Center
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Abstract

The invention provides a position-based meteorological data query method and a system, the method establishes a meteorological grid map on a target area map by acquiring the target area map and using the preset grid size, wherein the meteorological grid map consists of grid points, each grid point corresponds to a meteorological value, after the meteorological query position is acquired, the meteorological query position is mapped in the meteorological grid map to determine the corresponding target grid point, then according to the meteorological query position, whether a meteorological site with a distance smaller than the preset distance exists is judged, if so, the spatial distance between each meteorological site and the meteorological query position is acquired, the target meteorological site and the target meteorological value corresponding to the target meteorological site are determined according to the spatial distance, the target meteorological value is provided for a user, and if not, the meteorological value corresponding to the target grid point is provided for the user, so that the accurate extraction of the meteorological information at any geographic position is realized.

Description

Meteorological data query method and system based on position
Technical Field
The invention belongs to the technical field of meteorological data query, and particularly relates to a meteorological data query method and system based on positions.
Background
With the development of observation and forecast technologies, weather forecast services are converted from traditional site and qualitative description forecast into digital and intelligent grid forecast, so that a series of intelligent grid live and forecast products are formed, and the products are widely applied to services such as weather monitoring and forecast. However, because of large data volume and high frequency of products, the products are not enough to be applied in meteorological services due to the lack of corresponding support service systems.
Social public and water conservancy, traffic, tourism and other industries have very vigorous demands for refined meteorological data products, and a service mode based on site observation data and forecast data cannot meet the demands. In order to meet the requirements of social public and industries such as water conservancy, traffic, tourism and the like on the refinement and individuation of meteorological data products, technologies such as multi-source meteorological data fusion processing, multi-mode product correction processing, radar extrapolation and the like are generally adopted to generate high-resolution gridding live and gridding forecast products. The data products are written into a meteorological big data cloud platform for storage management, and a uniform data service interface is provided for shared access.
At present, although a large number of gridding meteorological products are provided, and meteorological data of each grid point are acquired by means of detection technologies such as meteorological satellites, accuracy of the meteorological data still needs to be improved, and meteorological data acquired by meteorological stations have high accuracy but are limited by a coverage range, and if the number of the meteorological stations is increased, operation cost is increased. Therefore, a method for querying weather data is needed, which can accurately extract weather information at any geographic location without additionally adding weather stations.
Disclosure of Invention
Based on this, the embodiment of the invention provides a method and a system for meteorological data query based on a position, aiming at solving the problem that accurate extraction of meteorological information of any geographic position cannot be realized in the prior art.
The first aspect of the embodiments of the present invention provides a method for querying weather data based on location, where the method includes:
acquiring a target area map, and establishing a meteorological grid map in a preset grid size according to the target area map, wherein the meteorological grid map consists of grid points, and each grid point corresponds to an weather value;
acquiring a weather inquiry position, and mapping in the weather grid map according to the weather inquiry position to determine a corresponding target grid point;
judging whether a meteorological station point with a distance smaller than a preset distance exists or not according to the meteorological inquiry position;
if yes, obtaining the spatial distance between each weather station and the weather inquiry position, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value for a user.
And if not, providing the meteorological value corresponding to the target grid point for the user.
Further, the step of obtaining a weather inquiry position and mapping in the weather grid map according to the weather inquiry position to determine a corresponding target grid point includes:
acquiring the target longitude and latitude of the meteorological inquiry position, the initial longitude and latitude of the meteorological grid map and the preset grid size;
and calculating the target grid points according to the target longitude and latitude, the starting longitude and latitude and the preset grid size.
Further, in the step of calculating the target grid point according to the target longitude and latitude, the starting longitude and latitude and the preset grid size, a formula for calculating the target grid point is as follows:
Figure 893778DEST_PATH_IMAGE001
wherein the target longitude and latitude is (x, y), x represents the target longitude, y represents the target latitude, and the starting longitude and latitude is (x, y) min ,y min ),x min Expressed as the starting longitude, y min Expressed as a starting latitude, GS expressed as a preset grid size, the target grid point is (G) i ,G j )。
Further, the step of determining whether there is a weather station less than a preset distance according to the weather inquiry position includes:
step 1.1, acquiring the longitude and latitude of all weather stations in the weather grid map, determining four extreme value longitudes and latitudes positioned in the weather grid map, calculating the size of a transverse shaft and the size of a longitudinal shaft according to the four extreme value longitudes and latitudes, judging whether the size of the transverse shaft is larger than or equal to the size of the longitudinal shaft or not, and if so, executing step 1.2;
step 1.2, determining first longitude and latitude with the longitude at a middle position in the longitudes and latitudes of all meteorological sites in the meteorological grid graph, and establishing longitudinal lines by taking the first longitude and latitude as a reference, wherein the longitudinal lines are used for dividing the meteorological grid graph to obtain a first meteorological grid graph;
step 1.3, in each first meteorological grid subgraph, determining a second longitude and latitude of which the latitude is in the middle position, and establishing a transverse line by taking the second longitude and latitude as a reference, wherein the transverse line is used for dividing the first meteorological grid subgraph to obtain a second meteorological grid subgraph;
and step 1.4, the division mode from the step 1.2 to the step 1.3 is circulated until the weather grid graph is divided into a plurality of target weather grid subgraphs, and the number of weather sites in the target weather grid subgraphs is one at most.
Further, the step of determining whether there is a weather station with a distance smaller than a preset distance according to the weather inquiry position includes:
step 2.1, acquiring the weather inquiry position, and determining a target weather grid subgraph where the weather inquiry position is located;
step 2.2, judging whether a meteorological site exists in a target meteorological grid subgraph where the meteorological query position is located, if so, executing step 2.3, and if not, executing step 2.4;
step 2.3, calculating a first distance between the weather inquiry position and a weather station existing in the target weather grid subgraph, and then executing step 2.4;
step 2.4, sequentially acquiring first weather stations on a first longitudinal line and a first transverse line in the target weather grid sub-graph, respectively calculating second distances between the first weather stations and the weather inquiry position, judging whether the second distances are smaller than the preset distance, if so, outputting the spatial distances between the weather stations meeting the requirements and the weather inquiry position, and executing step 2.5, otherwise, executing step 2.7;
step 2.5, determining an intersection point of the first longitudinal line and the first transverse line, obtaining a second longitudinal line and a second transverse line which are adjacent to the intersection point, determining second meteorological stations which are positioned on the second longitudinal line, the second transverse line and an area enclosed by the second longitudinal line and the second transverse line, calculating a third distance between each second meteorological station and the meteorological query position, and judging whether the third distance is smaller than the preset distance, if so, outputting a spatial distance between each meteorological station and the meteorological query position meeting the requirement, and executing step 2.6, and if not, executing step 2.7;
step 2.6, circulating the expansion mode of the step 2.5, and searching weather stations with the distance smaller than the preset distance;
and 2.7, outputting the spatial distance between each meteorological site meeting the requirement and the meteorological inquiry position.
Further, in the step of calculating the first distance between the weather inquiry position and the weather station existing in the target weather grid sub-graph, the calculation formula of the first distance is as follows:
Figure 237868DEST_PATH_IMAGE002
wherein Px represents the longitude of the weather query location, py represents the latitude of the weather query location, sx represents the longitude of the weather station existing in the target weather grid subgraph, sy represents the latitude of the weather station existing in the target weather grid subgraph, and D represents the first distance.
Further, the step of obtaining the spatial distance between each weather station and the weather inquiry position, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value to the user includes:
acquiring the number of meteorological stations less than a preset distance, and judging whether the number is only one;
when only one weather station is judged, determining the corresponding weather station as the target weather station;
when the number is not only one, acquiring the spatial distance between each weather station meeting the requirement and the weather inquiry position, sequencing the spatial distances from small to large, and determining a first distance value and a second distance value, wherein the first distance value is the distance value between the weather inquiry position and the nearest weather station, and the second distance value is the distance value between the weather inquiry position and other weather stations except the nearest weather station;
judging whether the difference value between the first distance value and each second distance value is larger than a preset value or not;
if so, determining the meteorological site corresponding to the first distance value as the target meteorological site;
if not, acquiring a meteorological value acquired by the target meteorological station corresponding to the second distance value when the difference value is less than or equal to a preset value, and calculating the target meteorological value according to each spatial distance and the corresponding meteorological value.
A second aspect of an embodiment of the present invention provides a location-based weather data query system, including:
the meteorological grid map establishing module is used for acquiring a target area map and establishing a meteorological grid map according to the target area map in a preset grid size, wherein the meteorological grid map consists of grid points, and each grid point corresponds to an meteorological value;
the target grid point determining module is used for acquiring a weather query position and mapping the weather grid map according to the weather query position to determine a corresponding target grid point;
the first judgment module is used for judging whether a meteorological station less than a preset distance exists according to the meteorological query position;
and the first providing module is used for acquiring the spatial distance between each weather station and the weather inquiry position when weather stations with the distance smaller than the preset distance are judged to exist, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value for a user.
And the second providing module is used for providing the meteorological value corresponding to the target grid point to the user when judging that no meteorological site less than the preset distance exists.
A third aspect of embodiments of the present invention provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the location-based weather data query method provided in the first aspect.
A fourth aspect of the embodiments of the present invention provides a weather data query device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the location-based weather data query method provided in the first aspect when executing the program.
The embodiment of the invention provides a method and a system for inquiring meteorological data based on position, which has the following beneficial effects:
by acquiring a target area map and establishing a meteorological grid map on the target area map according to preset grid sizes, wherein the meteorological grid map consists of grid points, and each grid point corresponds to a meteorological value, the meteorological query position can be acquired due to the refinement of the meteorological grid, the meteorological query position is mapped in the meteorological grid map to determine the corresponding target grid point, then whether a meteorological site with a distance less than a preset distance exists or not is judged according to the meteorological query position, if yes, the meteorological query position is indicated to be covered by the meteorological site, the meteorological information can be fed back more accurately, the spatial distance between each meteorological site and the meteorological query position is acquired, the target meteorological site and the target meteorological value corresponding to the target meteorological site are determined according to the spatial distance, the target meteorological value is provided for a user, if not, the meteorological query position is indicated to be not covered by the meteorological site, the meteorological value corresponding to the target grid point is provided for the user, the accurate extraction of the meteorological information of any geographical position is realized, and the requirements of high-sensitivity industries such as society, water conservancy, meteorological and traffic, and the service of refined and the personalized and public data service are met.
Drawings
FIG. 1 is a flowchart illustrating an implementation of a method for querying weather data based on location according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a weather station network provided by a first embodiment of the present invention;
FIG. 3 is a block diagram illustrating a location-based weather data query system according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a location-based weather data query device according to a third embodiment of the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully hereinafter with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, fig. 1 shows a location-based meteorological data query method according to a first embodiment of the present invention, which specifically includes steps S01 to S05.
Step S01, acquiring a target area map, and establishing a meteorological grid map in a preset grid size according to the target area map, wherein the meteorological grid map consists of grid points, and each grid point corresponds to an meteorological value.
Specifically, a target area map, that is, a map of a certain city or a certain monitored area is obtained, the map may be a satellite map, a meteorological grid map is established according to a preset grid size, for example, according to longitude and latitude, the preset grid size is 0.01 °, the map may be understood as a square, the area covered by the square is 1km × 1km, and finally the meteorological grid map is composed of a plurality of grid points.
And S02, acquiring a weather query position, and mapping in the weather grid map according to the weather query position to determine a corresponding target grid point.
It should be noted that, the target longitude and latitude of the weather query position, the initial longitude and latitude of the weather grid map and the preset grid size are obtained, and the target grid points are calculated according to the target longitude and latitude, the initial longitude and latitude and the preset grid size, so as to map the weather query position in the weather grid map, wherein the calculation formula of the target grid points is as follows:
Figure 213914DEST_PATH_IMAGE003
wherein [ 2 ], [ 2 ]]For the rounding operator, the target longitude and latitude is (x, y), x is the target longitude, y is the target latitude, and the starting longitude and latitude is (x, y) min ,y min ),x min Expressed as the starting longitude, y min Expressed as a starting latitude, GS expressed as a preset grid size, the target grid point is (G) i ,G j )。
In addition, the user can also determine any meteorological data at any time of the meteorological inquiry position by retrieving the element time and the element code, and can understand that the element time can be accurate to the hour, namely the hour of a certain day of a certain month of a certain year, the element code can be the air temperature, the air temperature value of the hour of the certain day of the certain month of the certain year can be inquired by combining the element time, and similarly, any meteorological data at any time of the position in the future can also be inquired by a gridding forecast product.
And S03, judging whether a weather station less than a preset distance exists or not according to the weather inquiry position, if so, executing the step S04, and if not, executing the step S05.
In this embodiment, first, a weather site network diagram needs to be established around weather sites in a weather grid diagram to improve the efficiency of subsequently searching for corresponding weather sites according to weather query positions, please refer to fig. 2, where fig. 2 shows a schematic diagram of a weather site network provided in a first embodiment of the present invention, and the establishment process specifically includes:
step 1.1, acquiring the longitude and latitude of all weather stations in the weather grid map, determining four extreme value longitudes and latitudes positioned in the weather grid map, calculating the size of a transverse shaft and the size of a longitudinal shaft according to the four extreme value longitudes and latitudes, judging whether the size of the transverse shaft is larger than or equal to the size of the longitudinal shaft or not, and if so, executing step 1.2;
it should be noted that, knowing the longitude and latitude of all weather sites in the weather grid map, it is possible to determine the four extreme value longitude and latitude of the longitude maximum, the longitude minimum, the latitude maximum and the latitude minimum in all weather sites, where the horizontal axis is the difference between the longitude maximum and the longitude minimum and the vertical axis is the difference between the latitude maximum and the latitude minimum, compare the two differences, and when the horizontal axis is greater than or equal to the vertical axis, establish the vertical lines first and then establish the horizontal lines, and divide the weather grid map in this way alternately, when the horizontal axis is smaller than the vertical axis, establish the horizontal lines first and then establish the vertical lines, and divide the weather grid map in this way alternately.
Step 1.2, determining a first longitude and latitude with the longitude at a middle position in the longitude and latitude of all meteorological sites in the meteorological grid graph, and establishing a longitudinal line by taking the first longitude and latitude as a reference, wherein the longitudinal line is used for dividing the meteorological grid graph to obtain a first meteorological grid graph;
step 1.3, in each first meteorological grid sub-graph, determining a second longitude and latitude of which the latitude is in the middle position, and establishing a transverse line by taking the second longitude and latitude as a reference, wherein the transverse line is used for dividing the first meteorological grid sub-graph to obtain a second meteorological grid sub-graph;
in step 1.2 and step 1.3, the vertical lines and the horizontal lines are set to divide the number of weather stations in the weather grid graph equally, and it can be understood that the number of weather stations in the two divided areas differs by 1 at most, and in addition, the vertical lines and the horizontal lines pass through one weather station at most.
And step 1.4, the division modes from the step 1.2 to the step 1.3 are circulated until the weather grid map is divided into a plurality of target weather grid sub-maps, the number of weather stations in the target weather grid sub-maps is at most one, and specifically, the weather grid map is divided into a plurality of target weather grid sub-maps by adopting a mode of continuously dividing the weather stations by longitudinal lines and transverse lines.
Further, in order to determine whether a weather station less than a preset distance exists near the weather inquiry position, the following steps are adopted for searching:
step 2.1, acquiring a weather inquiry position, and determining a target weather grid subgraph where the weather inquiry position is located, wherein the weather inquiry position is a longitude and latitude value, the precision of the weather inquiry position can be determined according to actual conditions, and the precision is specifically smaller than the precision of the preset grid size;
step 2.2, judging whether a weather station exists in the target weather grid subgraph in which the weather query position is located, wherein the corresponding weather station in each target weather grid subgraph can be determined while establishing a weather station network graph, when the weather station exists in the target weather grid subgraph in which the weather query position is located, the step 2.3 is executed, and when the weather station does not exist in the target weather grid subgraph in which the weather query position is located, the step 2.4 is executed;
step 2.3, calculating a first distance between the weather inquiry position and a weather station existing in the target weather grid subgraph, and then executing step 2.4, wherein the calculation formula of the first distance is as follows:
Figure 161141DEST_PATH_IMAGE002
wherein Px represents the longitude of the weather query location, py represents the latitude of the weather query location, sx represents the longitude of the weather station existing in the target weather grid subgraph, sy represents the latitude of the weather station existing in the target weather grid subgraph, and D represents the first distance, and it can be understood that the distance between the two points can be calculated by the above formula;
step 2.4, sequentially acquiring first meteorological stations positioned on a first longitudinal line and a first transverse line in the target meteorological grid subgraph, respectively calculating second distances between the first meteorological stations and the meteorological query position, judging whether the second distances are smaller than a preset distance, if so, outputting the spatial distances between the meteorological stations and the meteorological query position meeting the requirements, and executing step 2.5, otherwise, executing step 2.7;
it should be noted that, because the target weather grid sub-graph is formed by enclosing the longitudinal lines and the transverse lines, and each longitudinal line and each transverse line includes a weather station, first weather stations on the first longitudinal line and the first transverse line closest to the weather inquiry position are obtained first, and second distances between the first weather stations and the weather inquiry position are calculated respectively, when each second distance is smaller than the preset distance, the description needs to be extended outwards to search for the weather stations.
Step 2.5, determining the intersection point of the first longitudinal line and the first transverse line, acquiring a second longitudinal line and a second transverse line which are adjacent to each other by the intersection point, determining second meteorological stations which are positioned on the second longitudinal line, on the second transverse line and in an area enclosed by the second longitudinal line and the second transverse line, calculating a third distance between each second meteorological station and a meteorological query position, and judging whether the third distance is smaller than a preset distance, if so, outputting the spatial distance between each meteorological station and the meteorological query position meeting the requirement, and executing step 2.6, and if not, executing step 2.7;
it can be understood that by searching for weather stations meeting the requirements in the extending direction of the first longitudinal line and the first transverse line, weather stations smaller than the preset distance can be quickly determined.
Step 2.6, circulating the expansion mode of the step 2.5, and searching weather stations with the distance smaller than the preset distance;
and 2.7, outputting the spatial distance between each meteorological site and the meteorological query position meeting the requirements.
And S04, acquiring the spatial distance between each weather station and the weather inquiry position, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value for a user.
Specifically, the number of weather stations smaller than a preset distance is obtained, whether the number is only one or not is judged, and when the number is only one, the corresponding weather station is determined as a target weather station; when the number is judged to be not only one, acquiring the spatial distance between each weather station and the weather inquiry position, which meets the requirement, sequencing the spatial distances from small to large, and determining a first distance value and a second distance value, wherein the first distance value is the distance value between the weather inquiry position and the nearest weather station, the second distance value is the distance value between the weather inquiry position and other weather stations except the nearest weather station, judging whether the difference value between the first distance value and each second distance value is greater than a preset value, and if so, determining the weather station corresponding to the first distance value as a target weather station; if not, acquiring a meteorological value acquired by the target meteorological station corresponding to the second distance value when the difference value is less than or equal to the preset value, and calculating a target meteorological value according to each spatial distance and the corresponding meteorological value, wherein a calculation formula can be expressed as:
Figure 539033DEST_PATH_IMAGE004
wherein T is expressed as a target weather value, i is equal to [1, n ]]N is expressed as the number of weather stations less than a preset distance,
Figure 811883DEST_PATH_IMAGE005
expressed as the weight coefficient, T, of the ith weather site i Representing the weather value collected for the ith target weather station, p is the default value, in this embodiment, p =2,h i The spatial distance between the ith weather station and the weather query position is expressed, and it should be noted that the weight coefficient is determined according to the size of the distance value, and the larger the distance value is, the smaller the weight coefficient is.
And step S05, providing the meteorological value corresponding to the target grid point to a user.
In the embodiment, the whole process is based on the cloud and modular design to carry out query service, meanwhile, the development specification of a meteorological big data cloud platform is followed, the real-time scheduling operation of the method is realized by the registration and deployment of a unified processing flow line, and when it is judged that no meteorological site smaller than a preset distance exists nearby the meteorological query position, it is indicated that no meteorological site covers the meteorological query position, and the meteorological value corresponding to the target grid point is provided for a user.
In summary, in the location-based meteorological data query method in the above embodiment of the present invention, a meteorological grid map is established on a target area map by obtaining a target area map and using a preset grid size, wherein the meteorological grid map is composed of grid points, and each grid point corresponds to a meteorological value, and due to the refinement of the meteorological grid, a meteorological query location can be obtained and mapped in the meteorological grid map to determine a corresponding target grid point, and then according to the meteorological query location, it is determined whether a meteorological site smaller than a preset distance exists, if so, it is determined that the meteorological query location is covered by the meteorological site, and meteorological information can be fed back more accurately, a spatial distance between each meteorological site and the meteorological query location is obtained, a target meteorological site and a target meteorological value corresponding to the target meteorological site are determined according to the spatial distance, and the target meteorological value is provided to a user, and if not, it is determined that the meteorological query location is not covered by the meteorological site, the meteorological value corresponding to the target grid point is provided to the user, so that accurate extraction of meteorological information at any geographical location is achieved, and requirements of highly sensitive tourism personalized meteorological data, such as social and water conservation, transportation, and water conservancy industry, and the refined meteorological service are satisfied.
Example two
Referring to fig. 3, fig. 3 is a block diagram illustrating a location-based weather data query system 200 according to a second embodiment of the present invention, wherein the location-based weather data query system 200 includes: a meteorological grid map establishing module 21, a target grid point determining module 22, a first judging module 23, a first providing module 24 and a second providing module 25, wherein:
the meteorological grid map establishing module 21 is configured to obtain a target area map, and establish a meteorological grid map in a preset grid size according to the target area map, where the meteorological grid map is composed of grid points, and each grid point corresponds to an meteorological value;
a target grid point determining module 22, configured to obtain a weather inquiry position, and map the weather grid map according to the weather inquiry position to determine a corresponding target grid point;
the first judging module 23 is configured to judge whether a weather station less than a preset distance exists according to the weather inquiry position;
the first providing module 24 is configured to, when it is determined that there is a weather station that is shorter than a preset distance, obtain a spatial distance between each weather station and the weather querying location, determine a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and provide the target weather value to a user.
And a second providing module 25, configured to provide the weather value corresponding to the target grid point to the user when it is determined that there is no weather station that is less than the preset distance.
Further, in some optional embodiments of the present invention, the target grid point determining module 22 includes:
the first acquisition unit is used for acquiring the target longitude and latitude of the meteorological inquiry position, the initial longitude and latitude of the meteorological grid map and the preset grid size;
a first calculating unit, configured to calculate the target grid point according to the target longitude and latitude, the starting longitude and latitude, and the preset grid size, where a formula for calculating the target grid point is as follows:
Figure 212908DEST_PATH_IMAGE001
wherein the target longitude and latitude is (x, y), x represents the target longitude, y represents the target latitude, and the starting longitude and latitude is (x, y) min ,y min ),x min Expressed as the starting longitude, y min Expressed as a starting latitude, GS expressed as a preset grid size, the target grid point is (G) i ,G j )。
Further, in some optional embodiments of the present invention, the location-based weather data query system 200 further comprises:
the second judgment module is used for acquiring the longitude and latitude of all weather stations in the weather grid map, determining the longitude and latitude of four extreme values positioned in the weather grid map, calculating the size of a transverse shaft and the size of a longitudinal shaft according to the longitude and latitude of the four extreme values, and judging whether the size of the transverse shaft is larger than or equal to the size of the longitudinal shaft or not;
the first dividing module is used for determining a first longitude and latitude of which the longitude is at the middle position in the longitude and latitude of all weather stations in the weather grid graph when the size of the transverse axis is judged to be larger than or equal to the size of the longitudinal axis, and establishing a longitudinal line by taking the first longitude and latitude as a reference, wherein the longitudinal line is used for dividing the weather grid graph to obtain a first weather grid graph;
the second dividing module is used for determining a second longitude and latitude of the latitude at the middle position in each first meteorological grid sub-graph, and establishing a transverse line by taking the second longitude and latitude as a reference, wherein the transverse line is used for dividing the first meteorological grid sub-graph to obtain a second meteorological grid sub-graph;
and the circulation module is used for circulating the division mode from the first division module to the second division module until the weather grid graph is divided into a plurality of target weather grid subgraphs, and the number of weather sites in the target weather grid subgraphs is one at most.
Further, in some optional embodiments of the present invention, the first determining module 23 includes:
the target weather grid subgraph determining unit is used for acquiring the weather query position and determining the target weather grid subgraph where the weather query position is located;
the first judgment unit is used for judging whether a weather site exists in the target weather grid subgraph where the weather inquiry position is located;
a second calculating unit, configured to calculate a first distance between the weather query location and a weather station in the target weather grid sub-graph when it is determined that the weather station exists in the target weather grid sub-graph in which the weather query location is located, where a calculation formula of the first distance is:
Figure 229406DEST_PATH_IMAGE002
wherein Px represents the longitude of the weather query position, py represents the latitude of the weather query position, sx represents the longitude of the weather station existing in the target weather grid subgraph, sy represents the latitude of the weather station existing in the target weather grid subgraph, and D represents the first distance;
a second judging unit, configured to, when it is judged that no weather station exists in a target weather grid sub-graph in which the weather inquiry position is located, sequentially acquire first weather stations located on a first longitudinal line and a first transverse line in the target weather grid sub-graph, respectively calculate second distances between the first weather stations and the weather inquiry position, judge whether each of the second distances is smaller than the preset distance, if yes, output a spatial distance between each of the weather stations and the weather inquiry position that meets a requirement, and execute a third judging unit;
a third judging unit, configured to, when it is judged that each of the second distances is smaller than the preset distance, determine an intersection point of the first longitudinal line and the first transverse line, acquire a second longitudinal line and a second transverse line adjacent to the intersection point, determine a second weather station located on the second longitudinal line, the second transverse line, and an area surrounded by the second longitudinal line and the second transverse line, calculate a third distance between each of the second weather stations and the weather inquiry position, and judge whether the third distance is smaller than the preset distance, if yes, output a spatial distance between each of the weather stations and the weather inquiry position that meets the requirement, and execute a circulation unit;
the circulating unit is used for circulating the expansion mode of the third judging unit and searching weather stations with the distance less than the preset distance;
and the output unit is used for outputting the spatial distance between each weather station and the weather inquiry position, which meets the requirement, when the second distance is judged to be not less than the preset distance.
Further, in some optional embodiments of the present invention, the first providing module 24 includes:
the fourth judging unit is used for acquiring the number of the meteorological stations less than the preset distance and judging whether the number is only one;
the first target weather station determining unit is used for determining the corresponding weather station as the target weather station when the number is only one;
the distance value determining unit is used for acquiring the spatial distance between each weather station meeting the requirements and the weather inquiry position when judging that the number is not only one, sequencing the spatial distances from small to large, and determining a first distance value and a second distance value, wherein the first distance value is the distance value between the weather inquiry position and the nearest weather station, and the second distance value is the distance value between the weather inquiry position and other weather stations except the nearest weather station;
a fifth judging unit, configured to judge whether differences between the first distance value and each of the second distance values are greater than a preset value;
the second target meteorological site determining unit is used for determining the meteorological site corresponding to the first distance value as the target meteorological site when the difference value between the first distance value and the second distance value is larger than a preset value;
and the target meteorological value calculating unit is used for acquiring a meteorological value acquired by a target meteorological station corresponding to the second distance value when the difference value between the first distance value and the second distance value is not greater than a preset value, and calculating the target meteorological value according to each spatial distance and the corresponding meteorological value.
EXAMPLE III
Referring to fig. 4, the location-based weather data query device according to a third embodiment of the present invention includes a memory 20, a processor 10, and a computer program 30 stored in the memory and executable on the processor, wherein the processor 10 executes the computer program 30 to implement the location-based weather data query method as described above.
The processor 10 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip in some embodiments, and is used for executing program codes stored in the memory 20 or Processing data, such as executing an access restriction program.
The memory 20 includes at least one type of readable storage medium including flash memory, hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 20 may in some embodiments be an internal storage unit of the location-based weather data query device, such as a hard disk of the location-based weather data query device. The memory 20 may also be an external storage device of the location-based weather data query device in other embodiments, such as a plug-in hard disk provided on the location-based weather data query device, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so on. Further, the memory 20 may also include both an internal storage unit and an external storage device for the location-based weather data query device. The memory 20 may be used not only to store application software and various types of data for the location-based weather data query device, but also to temporarily store data that has been output or is to be output.
It should be noted that the configuration shown in FIG. 4 does not constitute a limitation of the location-based weather data query device, and in other embodiments, the location-based weather data query device may include fewer or more components than shown, or some components may be combined, or a different arrangement of components.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the location-based meteorological data query method as described above.
Those of skill in the art will understand that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be viewed as implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above examples only show several embodiments of the present invention, and the description thereof is specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for querying weather data based on location, the method comprising:
acquiring a target area map, and establishing a meteorological grid map in a preset grid size according to the target area map, wherein the meteorological grid map consists of grid points, and each grid point corresponds to an meteorological value;
acquiring a weather inquiry position, and mapping in the weather grid map according to the weather inquiry position to determine a corresponding target grid point;
judging whether a meteorological station less than a preset distance exists according to the meteorological query position;
if yes, obtaining the spatial distance between each weather station and the weather query position, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value for a user;
and if not, providing the meteorological value corresponding to the target grid point for the user.
2. The weather data query method based on location as claimed in claim 1, wherein the step of obtaining a weather query location and mapping in the weather grid map to determine corresponding target grid points according to the weather query location comprises:
acquiring the target longitude and latitude of the meteorological inquiry position, the initial longitude and latitude of the meteorological grid map and the preset grid size;
and calculating the target grid points according to the target longitude and latitude, the starting longitude and latitude and the preset grid size.
3. The method for querying the meteorological data based on the position according to claim 2, wherein in the step of calculating the target grid point according to the target longitude and latitude, the starting longitude and latitude and the preset grid size, a formula for calculating the target grid point is as follows:
Figure 873539DEST_PATH_IMAGE001
wherein the target longitude and latitude is (x, y), x represents the target longitude, y represents the target latitude, and the starting longitude and latitude is (x, y) min ,y min ),x min Expressed as the starting longitude, y min Expressed as a starting latitude, GS expressed as a preset grid size, the target grid point is (G) i ,G j )。
4. The weather data query method based on location according to claim 3, wherein the step of determining whether there is a weather station with a distance less than a predetermined distance according to the weather query location comprises:
step 1.1, acquiring the longitude and latitude of all weather stations in the weather grid map, determining the longitude and latitude of four extreme values positioned in the weather grid map, calculating the size of a transverse shaft and the size of a longitudinal shaft according to the longitude and latitude of the four extreme values, judging whether the size of the transverse shaft is larger than or equal to the size of the longitudinal shaft or not, and if so, executing step 1.2;
step 1.2, determining a first longitude and latitude with the longitude at a middle position in the longitude and latitude of all meteorological sites in the meteorological grid graph, and establishing a longitudinal line by taking the first longitude and latitude as a reference, wherein the longitudinal line is used for dividing the meteorological grid graph to obtain a first meteorological grid graph;
step 1.3, in each first meteorological grid subgraph, determining a second longitude and latitude of which the latitude is in the middle position, and establishing a transverse line by taking the second longitude and latitude as a reference, wherein the transverse line is used for dividing the first meteorological grid subgraph to obtain a second meteorological grid subgraph;
step 1.4, the division modes from the step 1.2 to the step 1.3 are circulated until the weather grid graph is divided into a plurality of target weather grid subgraphs, and the maximum number of weather sites in the target weather grid subgraphs is one.
5. The weather data query method based on location according to claim 4, wherein the step of determining whether there is a weather station with a distance less than a preset distance according to the weather query location comprises:
step 2.1, acquiring the weather inquiry position, and determining a target weather grid subgraph where the weather inquiry position is located;
step 2.2, judging whether a meteorological site exists in a target meteorological grid subgraph where the meteorological query position is located, if so, executing step 2.3, and if not, executing step 2.4;
step 2.3, calculating a first distance between the weather inquiry position and a weather station existing in the target weather grid subgraph, and then executing step 2.4;
step 2.4, sequentially acquiring first weather stations on a first longitudinal line and a first transverse line in the target weather grid sub-graph, respectively calculating second distances between the first weather stations and the weather inquiry position, judging whether the second distances are smaller than the preset distance, if so, outputting the spatial distances between the weather stations meeting the requirements and the weather inquiry position, and executing step 2.5, otherwise, executing step 2.7;
step 2.5, determining an intersection point of the first longitudinal line and the first transverse line, obtaining a second longitudinal line and a second transverse line which are adjacent to the intersection point, determining second meteorological stations which are positioned on the second longitudinal line, the second transverse line and an area enclosed by the second longitudinal line and the second transverse line, calculating a third distance between each second meteorological station and the meteorological query position, and judging whether the third distance is smaller than the preset distance, if so, outputting a spatial distance between each meteorological station and the meteorological query position meeting the requirement, and executing step 2.6, and if not, executing step 2.7;
step 2.6, circulating the expansion mode of the step 2.5, and searching weather stations with the distance less than the preset distance;
and 2.7, outputting the spatial distance between each meteorological site meeting the requirement and the meteorological inquiry position.
6. The weather data query method based on location as claimed in claim 5, wherein in the step of calculating the first distance between the weather query location and the weather station existing in the target weather grid sub-graph, the calculation formula of the first distance is:
Figure 751496DEST_PATH_IMAGE002
wherein Px is the longitude of the weather inquiry position, py is the latitude of the weather inquiry position, sx is the longitude of the weather station existing in the target weather grid sub-graph, sy is the latitude of the weather station existing in the target weather grid sub-graph, and D is the first distance.
7. The weather data query method as claimed in claim 6, wherein the step of obtaining the spatial distance between each weather station and the weather query location, determining a target weather station and a target weather value corresponding to the target weather station according to the spatial distance, and providing the target weather value to the user comprises:
acquiring the number of meteorological stations less than a preset distance, and judging whether the number is only one;
when only one weather station is judged, determining the corresponding weather station as the target weather station;
when the number is judged to be not only one, acquiring the spatial distance between each weather station meeting the requirements and the weather inquiry position, sequencing the spatial distances from small to large, and determining a first distance value and a second distance value, wherein the first distance value is the distance value between the weather inquiry position and the nearest weather station, and the second distance value is the distance value between the weather inquiry position and other weather stations except the nearest weather station;
judging whether the difference value between the first distance value and each second distance value is larger than a preset value or not;
if so, determining the meteorological site corresponding to the first distance value as the target meteorological site;
if not, acquiring a meteorological value acquired by the target meteorological station corresponding to the second distance value when the difference value is less than or equal to a preset value, and calculating the target meteorological value according to each spatial distance and the corresponding meteorological value.
8. A location-based weather data query system, the system comprising:
the meteorological grid map establishing module is used for acquiring a target area map and establishing a meteorological grid map according to the target area map in a preset grid size, wherein the meteorological grid map consists of grid points, and each grid point corresponds to an meteorological value;
the target grid point determining module is used for acquiring a weather query position and mapping the weather grid map according to the weather query position to determine a corresponding target grid point;
the first judgment module is used for judging whether a meteorological station less than a preset distance exists according to the meteorological query position;
the first providing module is used for acquiring the spatial distance between each meteorological station and the meteorological query position when the meteorological station with the distance smaller than the preset distance is judged to exist, determining a target meteorological station and a target meteorological value corresponding to the target meteorological station according to the spatial distance, and providing the target meteorological value for a user;
and the second providing module is used for providing the meteorological value corresponding to the target grid point to the user when judging that no meteorological site less than the preset distance exists.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the location-based meteorological data querying method according to any one of claims 1 to 7.
10. A location-based meteorological data querying device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor when executing the program implementing the location-based meteorological data querying method according to any one of claims 1 to 7.
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