CN110850414A - Rainfall early warning method and device - Google Patents
Rainfall early warning method and device Download PDFInfo
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- CN110850414A CN110850414A CN201911175630.1A CN201911175630A CN110850414A CN 110850414 A CN110850414 A CN 110850414A CN 201911175630 A CN201911175630 A CN 201911175630A CN 110850414 A CN110850414 A CN 110850414A
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Abstract
The embodiment of the invention provides a rainfall early warning method and a rainfall early warning device, wherein the method comprises the following steps: acquiring dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area; distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area; and determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area. According to the rainfall early warning method and device provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a rainfall early warning method and device.
Background
Radar maps are graphical methods of displaying multivariate data in the form of two-dimensional plots of three or more quantitative variables represented on axes from the same point. It is also called a network map, spider map, star map, spider web map, irregular polygon, and the like. It is equivalent to a parallel coordinate graph with the axes arranged radially. In the weather industry, weather radar maps are capable of showing the current condition and trend of the weather.
However, the current weather radar map only marks and displays weather conditions in the whole area, and cannot analyze and predict the weather conditions of a specific area.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a rainfall early warning method and device.
In a first aspect, an embodiment of the present invention provides a rainfall early warning method, including:
acquiring dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area;
distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
and determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area.
Further, the distributing the lattice data in the longitude and latitude geographic map corresponding to the target area includes:
determining a locking location point of the target area;
determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
and arranging dot matrix data on the longitude and latitude geographical map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of the dot matrix data.
Further, the determining rainfall early warning values of grid areas in the longitude and latitude geographical map according to the radar dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of the grid areas include:
determining dot matrix data in each grid area;
determining an echo mean value according to the radar echo intensity of the dot matrix data, and configuring the echo mean value as a rainfall early warning value corresponding to the grid area;
and comparing the rainfall early warning value with each preset threshold range, determining rainfall marks corresponding to each grid area, and configuring the rainfall marks of each grid area as rainfall early warning information of the target area.
Further, the arranging the dot matrix data on the longitude and latitude geographic map of the target area according to the projection relationship between the locking position point and the release point, and the position information and the direction information of each dot matrix data includes:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
In a second aspect, an embodiment of the present invention provides a rainfall early warning device, including:
the acquisition module is used for acquiring the dot matrix data of the radar map and the longitude and latitude geographic map corresponding to the target area;
the distribution module is used for distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
and the early warning module is used for determining rainfall early warning values of all grid areas in the longitude and latitude geographic map according to the dot matrix data and determining rainfall early warning information of the target area according to the rainfall early warning values of all the grid areas.
Further, the distribution module includes:
a locking unit for determining a locking location point of the target area;
the screening unit is used for determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
and the distribution unit is used for distributing dot matrix data on the longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of each dot matrix data.
Further, the early warning module is specifically configured to:
determining dot matrix data in each grid area;
determining an echo mean value according to the radar echo intensity of the dot matrix data, and configuring the echo mean value as a rainfall early warning value corresponding to the grid area;
and comparing the rainfall early warning value with each preset threshold range, determining rainfall marks corresponding to each grid area, and configuring the rainfall marks of each grid area as rainfall early warning information of the target area.
Further, the distribution unit is specifically configured to:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
In a third aspect, an embodiment of the present invention is an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the rainfall early warning method.
In a fourth aspect, embodiments of the present invention provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned rainfall early warning method.
According to the rainfall early warning method and device provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flowchart of a rainfall early warning method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a rainfall early warning method according to another embodiment of the present invention;
FIG. 3 is a flowchart illustrating a rainfall early warning method according to another embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a rainfall early warning device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Radar maps are graphical methods of displaying multivariate data in the form of two-dimensional plots of three or more quantitative variables represented on axes from the same point. It is also called a network map, spider map, star map, spider web map, irregular polygon, and the like. It is equivalent to a parallel coordinate graph with the axes arranged radially. In the weather industry, weather radar maps are capable of showing the current condition and trend of the weather.
However, the current weather radar map only marks and displays weather conditions in the whole area, and cannot analyze and predict the weather conditions of a specific area.
Fig. 1 is a schematic flow chart illustrating a rainfall early warning method according to an embodiment of the present invention, and referring to fig. 1, the method includes:
s11, acquiring dot matrix data of the radar map and a longitude and latitude geographic map corresponding to the target area;
s12, distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
s13, determining rainfall early warning values of grid areas in the longitude and latitude geographical map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of the grid areas.
With reference to step S11, it should be noted that, in the embodiment of the present invention, the radar map for weather is weather information detected by the weather radar transmitting microwave signals, and then the echo image is displayed on the display. In fact, the radar chart is formed by combining the dot matrix data sets. For this purpose, the lattice data of the radar map needs to be retrieved from the weather station. Here, the specific size of the dot matrix data of the large area is determined according to the size of the drop area to be predicted, and in general, the area corresponding to the obtained dot matrix data is much larger than the drop area to be predicted.
In the embodiment of the present invention, the landing area to be predicted is the target area mentioned in the embodiment of the present invention.
In the embodiment of the invention, the longitude and latitude geographic map corresponding to the target area needs to be acquired. The geographical map acquired by the satellite positioning system can be directly acquired.
For step S12, it should be noted that, in the embodiment of the present invention, in order to implement early warning of rainfall in the target area, the dot matrix data corresponding to the target area needs to be distributed in the longitude and latitude geographic map corresponding to the target area, that is, the dot matrix data is projected onto the longitude and latitude geographic map. The longitude and latitude geographic map is uniformly divided by longitude lines and latitude lines to form a grid area. Therefore, the lattice data can be concentrated in each grid area of the target area, so that the subsequent analysis of the lattice data is facilitated, and the aim of early warning rainfall in the target area can be actually fulfilled.
With respect to step S13, it should be noted that, in the embodiment of the present invention, the data information corresponding to each point in the dot matrix data in the radar map includes location information, direction information, and radar echo intensity, and is not limited to the mentioned information types. And determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to all the dot matrix data distributed (falling) in the target area, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area.
According to the rainfall early warning method provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Fig. 2 is a schematic flow chart illustrating a rainfall early warning method according to an embodiment of the present invention, and referring to fig. 2, the method includes:
s21, acquiring dot matrix data of the radar map and a longitude and latitude geographic map corresponding to the target area;
s22, determining a locking position point of the target area, determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point, and arranging dot matrix numbers on a longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point, and the position information and the direction information of each dot matrix data;
s23, determining rainfall early warning values of grid areas in the longitude and latitude geographical map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of the grid areas.
Regarding step S21, the step is basically the same as step S11 of the above embodiment, and is not described again here.
With reference to step S22, it should be noted that, in the embodiment of the present invention, in order to distribute the dot matrix data corresponding to the target area in the longitude and latitude map corresponding to the target area, that is, complete the projection of the dot matrix data onto the longitude and latitude map. Therefore, it is necessary to find a lock position point in the target area, which corresponds to the reference point. Such as a location point within school a. The lock location point has an actual coordinate value. Therefore, the drop point corresponding to the locking position point in the dot matrix data can be determined according to the position information of the dot matrix data. The drop point is a certain data point in all the dot matrix data.
And establishing a projection relation between the locking position point and the drop point, namely, placing the drop point above the locking position point. Due to the position information and the direction information of each dot matrix data, the position and the direction of each dot matrix data can be obtained, and the dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area.
In a further embodiment of the method of this embodiment, the position information and the direction information of each dot matrix data may be used to determine a vector diagram of the dot matrix data, and the dot matrix data may be arranged on the longitude and latitude map of the target area according to the vector diagram and according to the projection relationship between the locking position point and the drop point.
Regarding step S23, the step is basically the same as step S13 of the above embodiment, and is not described again here.
According to the rainfall early warning method provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Fig. 3 is a schematic flow chart illustrating a rainfall early warning method according to an embodiment of the present invention, and referring to fig. 3, the method includes:
s31, acquiring dot matrix data of the radar map and a longitude and latitude geographic map corresponding to the target area;
s32, determining a locking position point of the target area, determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point, and arranging dot matrix numbers on a longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point, and the position information and the direction information of each dot matrix data;
s33, determining lattice data in each grid area, determining an echo mean value according to radar echo intensity of the lattice data, configuring the echo mean value as a rainfall early warning value corresponding to the grid area, comparing the rainfall early warning value with each preset threshold range, determining a rainfall identifier corresponding to each grid area, and configuring the rainfall identifier of each grid area as rainfall early warning information of the target area.
Regarding step S31, the step is basically the same as step S11 of the above embodiment, and is not described again here.
Regarding step S32, the step is basically the same as step S22 of the above embodiment, and is not described again here.
For step S33, it should be noted that, in the embodiment of the present invention, the dot matrix data covered in each grid region are counted, and the radar echo intensities of the dot matrix data are averaged to obtain an average value, so that the average value is the rainfall warning value corresponding to the corresponding grid region. And then comparing the rainfall early warning value with each preset threshold range to determine rainfall identification corresponding to each grid area. The preset threshold range represents different rainfall conditions, and each rainfall condition corresponds to a rainfall identifier. And combining the rainfall marks of all the grid areas together to serve as rainfall early warning information of the target area.
In addition, in the embodiment of the invention, the dot matrix data is collected at preset time intervals (for example, 5 minutes), and then the processing of the steps is performed to obtain the rainfall early warning information of the target area. Thus, the data is processed for a plurality of times, and the real-time rainfall condition on the target area can be known.
According to the rainfall early warning method provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Fig. 4 is a schematic structural diagram of a rainfall warning device according to an embodiment of the present invention, and referring to fig. 4, the device includes an obtaining module 41, a distribution module 42, and a warning module 43, where:
the acquisition module 41 is configured to acquire dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area;
the distribution module 42 is configured to distribute the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
and the early warning module 43 is configured to determine a rainfall early warning value of each grid area in the longitude and latitude geographical map according to the dot matrix data, and determine rainfall early warning information of the target area according to the rainfall early warning value of each grid area.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
According to the rainfall early warning device provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the weather related work is provided.
An embodiment of the present invention provides a rainfall early warning device, including: obtain module, distribution module and early warning module, wherein:
the acquisition module is used for acquiring the dot matrix data of the radar map and the longitude and latitude geographic map corresponding to the target area;
the distribution module includes:
a locking unit for determining a locking location point of the target area;
the screening unit is used for determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
the distribution unit is used for distributing dot matrix data on the longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of each dot matrix data;
wherein the distribution unit is specifically configured to:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
And the early warning module is used for determining rainfall early warning values of all grid areas in the longitude and latitude geographic map according to the dot matrix data and determining rainfall early warning information of the target area according to the rainfall early warning values of all the grid areas.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
According to the rainfall early warning device provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
An embodiment of the present invention provides a rainfall early warning device, including: obtain module, distribution module and early warning module, wherein:
the acquisition module is used for acquiring the dot matrix data of the radar map and the longitude and latitude geographic map corresponding to the target area;
the distribution module includes:
a locking unit for determining a locking location point of the target area;
the screening unit is used for determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
the distribution unit is used for distributing dot matrix data on the longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of each dot matrix data;
wherein the distribution unit is specifically configured to:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
The early warning module is used for determining dot matrix data in each grid area; determining an echo mean value according to the radar echo intensity of the dot matrix data, and configuring the echo mean value as a rainfall early warning value corresponding to the grid area; and comparing the rainfall early warning value with each preset threshold range, determining rainfall marks corresponding to each grid area, and configuring the rainfall marks of each grid area as rainfall early warning information of the target area.
Since the principle of the apparatus according to the embodiment of the present invention is the same as that of the method according to the above embodiment, further details are not described herein for further explanation.
It should be noted that, in the embodiment of the present invention, the relevant functional module may be implemented by a hardware processor (hardware processor).
According to the rainfall early warning device provided by the embodiment of the invention, the radar dot matrix data are distributed in the longitude and latitude geographic map corresponding to the target area, and the rainfall early warning of each grid area in the longitude and latitude geographic map is carried out according to the dot matrix data, so that the rainfall early warning of the target area is realized, the falling area analysis and prediction of the weather condition of the specific area are realized, the real-time prediction query is provided, and the service is provided for the weather related work.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)51, a communication Interface (communication Interface)52, a memory (memory)53 and a communication bus 54, wherein the processor 51, the communication Interface 52 and the memory 53 complete communication with each other through the communication bus 54. The processor 51 may call logic instructions in the memory 53 to perform the following method: acquiring dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area; distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area; and determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area.
In addition, the logic instructions in the memory 53 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the method provided in the foregoing embodiments when executed by a processor, and the method includes: acquiring dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area; distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area; and determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A rainfall early warning method is characterized by comprising the following steps:
acquiring dot matrix data of a radar map and a longitude and latitude geographic map corresponding to a target area;
distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
and determining rainfall early warning values of each grid area in the longitude and latitude geographic map according to the dot matrix data, and determining rainfall early warning information of the target area according to the rainfall early warning values of each grid area.
2. The rainfall early warning method according to claim 1, wherein the distributing the lattice data in the longitude and latitude geographic map corresponding to the target area comprises:
determining a locking location point of the target area;
determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
and arranging dot matrix data on the longitude and latitude geographical map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of the dot matrix data.
3. The rainfall early warning method according to claim 2, wherein the determining of the rainfall early warning value of each grid region in the longitude and latitude geographic map according to the radar dot matrix data and the determining of the rainfall early warning information of the target region according to the rainfall early warning value of each grid region comprise:
determining dot matrix data in each grid area;
determining an echo mean value according to the radar echo intensity of the dot matrix data, and configuring the echo mean value as a rainfall early warning value corresponding to the grid area;
and comparing the rainfall early warning value with each preset threshold range, determining rainfall marks corresponding to each grid area, and configuring the rainfall marks of each grid area as rainfall early warning information of the target area.
4. The rainfall early warning method according to claim 2, wherein the arranging of the dot matrix data on the longitude and latitude geographical map of the target area according to the projection relationship between the locking position point and the release point, and the position information and the direction information of each dot matrix data comprises:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
5. A rainfall early warning device, its characterized in that includes:
the acquisition module is used for acquiring the dot matrix data of the radar map and the longitude and latitude geographic map corresponding to the target area;
the distribution module is used for distributing the dot matrix data in a longitude and latitude geographic map corresponding to the target area;
and the early warning module is used for determining rainfall early warning values of all grid areas in the longitude and latitude geographic map according to the dot matrix data and determining rainfall early warning information of the target area according to the rainfall early warning values of all the grid areas.
6. The rainfall early warning device of claim 5, wherein the distribution module comprises:
a locking unit for determining a locking location point of the target area;
the screening unit is used for determining a release point corresponding to the locking position point in the dot matrix data according to the locking position point;
and the distribution unit is used for distributing dot matrix data on the longitude and latitude geographic map of the target area according to the projection relation between the locking position point and the release point and the position information and the direction information of each dot matrix data.
7. The rainfall early warning device of claim 6, wherein the early warning module is specifically configured to:
determining dot matrix data in each grid area;
determining an echo mean value according to the radar echo intensity of the dot matrix data, and configuring the echo mean value as a rainfall early warning value corresponding to the grid area;
and comparing the rainfall early warning value with each preset threshold range, determining rainfall marks corresponding to each grid area, and configuring the rainfall marks of each grid area as rainfall early warning information of the target area.
8. The rainfall early warning device of claim 2, wherein the distribution unit is specifically configured to:
determining a vector diagram of the dot matrix data according to the position information and the direction information of the dot matrix data;
and arranging dot matrix data on the longitude and latitude geographic map of the target area according to the vector diagram and the projection relation between the locking position point and the release point.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the rainfall early warning method according to any one of claims 1 to 4 when executing the program.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the rainfall early warning method according to any one of claims 1 to 4.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201583656U (en) * | 2009-04-16 | 2010-09-15 | 福州四创软件开发有限公司 | Radar early-warning device based on GIS |
KR20170083375A (en) * | 2016-01-08 | 2017-07-18 | 한국도로공사 | Method for predicting black ice using image of weather radar |
CN107656256A (en) * | 2017-11-02 | 2018-02-02 | 广州积雨云科技有限公司 | Utilize the method for radar data recognition and tracking heavy rain |
CN109782375A (en) * | 2019-01-07 | 2019-05-21 | 华东交通大学 | Precipitation intensity estimating and measuring method and system based on big data |
CN109799550A (en) * | 2019-03-20 | 2019-05-24 | 北京百度网讯科技有限公司 | Method and apparatus for predicting rainfall intensity |
CN110045441A (en) * | 2019-06-04 | 2019-07-23 | 北京航天宏图信息技术股份有限公司 | Synoptic analysis method and device based on radar echo map |
JP2019138737A (en) * | 2018-02-08 | 2019-08-22 | 国立研究開発法人防災科学技術研究所 | Thunder risk determination device |
CN110208807A (en) * | 2019-06-14 | 2019-09-06 | 哈尔滨工程大学 | A kind of raininess grade inversion method based on marine radar image detection region otherness parameter |
-
2019
- 2019-11-26 CN CN201911175630.1A patent/CN110850414A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201583656U (en) * | 2009-04-16 | 2010-09-15 | 福州四创软件开发有限公司 | Radar early-warning device based on GIS |
KR20170083375A (en) * | 2016-01-08 | 2017-07-18 | 한국도로공사 | Method for predicting black ice using image of weather radar |
CN107656256A (en) * | 2017-11-02 | 2018-02-02 | 广州积雨云科技有限公司 | Utilize the method for radar data recognition and tracking heavy rain |
JP2019138737A (en) * | 2018-02-08 | 2019-08-22 | 国立研究開発法人防災科学技術研究所 | Thunder risk determination device |
CN109782375A (en) * | 2019-01-07 | 2019-05-21 | 华东交通大学 | Precipitation intensity estimating and measuring method and system based on big data |
CN109799550A (en) * | 2019-03-20 | 2019-05-24 | 北京百度网讯科技有限公司 | Method and apparatus for predicting rainfall intensity |
CN110045441A (en) * | 2019-06-04 | 2019-07-23 | 北京航天宏图信息技术股份有限公司 | Synoptic analysis method and device based on radar echo map |
CN110208807A (en) * | 2019-06-14 | 2019-09-06 | 哈尔滨工程大学 | A kind of raininess grade inversion method based on marine radar image detection region otherness parameter |
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