Typhoon path prediction method and device, equipment, storage medium and program product
By constructing a prediction grid of the typhoon path prediction area and calculating the minimum pressure position, and generating the prediction path based on actual geographical parameters, the problem of low accuracy in the prediction of existing typhoon paths is solved, and higher forecast accuracy is achieved.
Patent Information
- Application Number
- CN202411929984.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-22
AI Technical Summary
Only conventional influencing factors are considered in the existing typhoon path forecast, resulting in an offset from the forecast path and the actual path, and the accuracy is not high.
By obtaining the preset horizontal resolution of the typhoon path prediction area, a prediction grid is built; the reference geographical parameters, actual geographical parameters and typhoon forecast pressure of the sea and land area are obtained, the lowest pressure position is calculated, and the prediction path is generated.
The accuracy of typhoon path forecasting is improved, and the thermal conditions of the typhoon path prediction area is more accurately reflected by considering actual geographical parameters.
Smart Images
Figure CN119861428A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of typhoon path prediction, and in particular to a typhoon path prediction method, device, equipment, storage medium and program product. Background Art
[0002] With the development of typhoon path forecasting technology, it is now possible to predict the typhoon’s landing path relatively accurately when a typhoon disaster occurs.
[0003] The factors affecting the typhoon path considered in conventional forecasts can be mainly divided into two aspects: external forcing and internal thermal and dynamic effects of the typhoon. External forcing mainly includes large-scale guiding airflow, β effect, adjacent weather systems, and terrain factors. Among them, large-scale circulation has always been considered an important factor affecting the typhoon path, and the guiding airflow is the average of the large-scale circulation around the typhoon. β effect refers to the effect caused by the change of the earth's rotational force with latitude, which is one of the reasons why the typhoon's moving direction deviates from the guiding airflow. The interaction between adjacent weather systems and typhoons will also affect the typhoon's moving direction. The interaction between two typhoons often causes typhoons to have abnormal paths. The specific interaction process is related to the typhoon structure. The influence of terrain factors on typhoon movement mainly includes the dynamic effect of terrain height and underlying surface friction. The internal thermal and dynamic effects that affect typhoon movement mainly include the asymmetry of convection inside the typhoon and the influence of the mesoscale convection system inside the typhoon.
[0004] However, the current typhoon path forecast only takes into account conventional influencing factors, which results in an offset between the predicted typhoon path and the actual path, and the accuracy of the typhoon path forecast is not high. Summary of the invention
[0005] Based on this, it is necessary to provide a typhoon path prediction method, device, equipment, storage medium and program product that can improve the accuracy of typhoon path forecasting in response to the above technical problems.
[0006] In a first aspect, the present application provides a typhoon path prediction method, the method comprising:
[0007] Acquire a preset horizontal resolution of a typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution;
[0008] Obtaining reference geographic parameters of all sea and land areas in the prediction grid, actual geographic parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period;
[0009] Based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure, the lowest air pressure position at different times in the prediction grid is calculated;
[0010] Based on the minimum air pressure positions at different times, a typhoon forecast path with a preset horizontal resolution within a forecast time period is generated.
[0011] In one embodiment, the calculating the lowest air pressure position at different times in the prediction grid based on the reference geographical parameter, the actual geographical parameter and the typhoon forecast air pressure includes:
[0012] Performing numerical substitution on the reference geographical parameters according to the actual geographical parameters to obtain the revised geographical parameters of all sea and land areas in the prediction grid;
[0013] The typhoon forecast air pressure at different times is calculated based on the corrected geographic parameters of all sea and land areas in the forecast grid, and the lowest air pressure position at different times in the forecast grid is extracted.
[0014] In one of the embodiments, if the preset horizontal resolution includes a first horizontal resolution and a second horizontal resolution; the first horizontal resolution is greater than the second horizontal resolution;
[0015] Based on the first horizontal resolution, a first prediction grid of the typhoon path prediction area is constructed; based on the second horizontal resolution, a second prediction grid of the typhoon path prediction area is constructed; the second prediction grid includes the typhoon path prediction area and the second prediction grid is nested in the first prediction grid.
[0016] In one embodiment, the obtaining of reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period includes:
[0017] Acquire first reference geographic parameters of all sea and land areas in the first prediction grid and first typhoon forecast pressures of the first prediction grid at different times within a prediction time period;
[0018] The second reference geographic parameters of all sea and land areas in the second prediction grid, the second typhoon forecast pressure of the second prediction grid at different times within the prediction time period, and the actual geographic parameters of the typhoon path prediction area in the second prediction grid are obtained.
[0019] In one embodiment, the calculating the lowest air pressure position at different times in the prediction grid based on the reference geographical parameter, the actual geographical parameter and the typhoon forecast air pressure includes:
[0020] Calculating the first typhoon forecast air pressure at different times according to the first reference geographic parameters of all sea and land areas in the first prediction grid to obtain the first lowest air pressure position at different times in the first prediction grid;
[0021] The second reference geographical parameters are numerically replaced according to the actual geographical parameters of the typhoon path prediction area in the second prediction grid to obtain second corrected geographical parameters of all sea and land areas in the second prediction grid; the second typhoon forecast air pressure at different times is calculated according to the second corrected geographical parameters of all sea and land areas in the second prediction grid to obtain the second lowest air pressure position at different times in the second prediction grid.
[0022] In one embodiment, generating a typhoon prediction path of a preset horizontal resolution within a prediction time period based on the lowest air pressure position at different times includes:
[0023] Generate a first typhoon forecast path with a first preset horizontal resolution within a forecast time period according to the first minimum air pressure position at different times in the first forecast grid;
[0024] A second typhoon prediction path with a second preset horizontal resolution within the prediction time period is generated according to the second lowest air pressure position at different times in the second prediction grid; wherein the first typhoon prediction path overlaps with the second typhoon prediction path.
[0025] In a second aspect, the present application also provides a typhoon path prediction device, the device comprising:
[0026] A grid construction module, used to obtain a preset horizontal resolution of a typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution;
[0027] A data acquisition module, used to acquire reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period;
[0028] An air pressure calculation module, configured to calculate the lowest air pressure position at different times in the prediction grid based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure;
[0029] The path generation module is used to generate a typhoon prediction path with a preset horizontal resolution within a prediction time period based on the minimum air pressure position at different times.
[0030] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps corresponding to the method described in the first aspect above.
[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps corresponding to the method described in the first aspect above are implemented.
[0032] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps corresponding to the method described in the first aspect above.
[0033] The above-mentioned typhoon path prediction method, device, equipment, storage medium and program product obtain a preset horizontal resolution of the typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution; obtain reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area and typhoon forecast pressure at different times within the prediction time period; calculate the lowest pressure position at different times in the prediction grid based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast pressure; generate a typhoon prediction path with a preset horizontal resolution within the prediction time period based on the lowest pressure position at different times, thereby realizing typhoon path prediction based on the actual geographical parameters of the typhoon path prediction area and improving the accuracy of typhoon path forecast within the prediction area. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0035] Figure 1 A diagram showing an application environment of a typhoon path prediction method in an embodiment;
[0036] Figure 2 A schematic diagram of a flow chart of a typhoon path prediction method in one embodiment;
[0037] Figure 3 A schematic diagram of a flow chart of a step of calculating the lowest air pressure position at different times in the prediction grid in one embodiment;
[0038] Figure 4 is a structural block diagram of a typhoon path prediction device in one embodiment;
[0039] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0040] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0041] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.
[0042] The typhoon path prediction method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.
[0043] On the server 104, a preset horizontal resolution of a typhoon path prediction area is obtained, and a prediction grid of the typhoon path prediction area is constructed based on the preset horizontal resolution; reference geographic parameters of all land and sea areas in the prediction grid, actual geographic parameters of the typhoon path prediction area, and typhoon forecast pressures at different times within a prediction time period are obtained; based on the reference geographic parameters, the actual geographic parameters, and the typhoon forecast pressure, the lowest pressure position at different times in the prediction grid is calculated; based on the lowest pressure position at different times, a typhoon prediction path of the preset horizontal resolution within the prediction time period is generated.
[0044] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. The server 104 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.
[0045] In an exemplary embodiment, Figure 2 As shown in FIG. 1 , a typhoon path prediction method is provided, and the method is applied to Figure 1 The server side in is taken as an example to illustrate, including the following steps 201 to 204.
[0046] in:
[0047] Step 201: Obtain a preset horizontal resolution of a typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution.
[0048] Step 202, obtaining reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period.
[0049] Specifically, based on the above background technology, the inventors found that in addition to being affected by the conventional influencing factors in the above background technology, the typhoon path also has a tendency to move to areas that are more conducive to its strengthening. In recent years, due to urban development in some areas, conditions such as vegetation coverage, surface and stratum atmospheric temperature have changed, causing changes in thermal conditions in the region. When the rate of temperature rise in a certain area is significantly higher than other surrounding areas, it is likely to attract more typhoons to land locally, causing changes in the direction of the typhoon forecast path. Therefore, in addition to obtaining the reference geographic parameters of all sea and land areas in the prediction grid and the typhoon forecast pressure at different times in the prediction time period, it is also necessary to obtain the actual geographic parameters of the typhoon path prediction area, which can more truly reflect the actual thermal conditions of the typhoon path prediction area.
[0050] Step 203, based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast pressure, calculate the lowest air pressure position at different times in the prediction grid.
[0051] Specifically, the reference geographic parameters include reference values of the typhoon path prediction area. The actual geographic parameters of the typhoon path prediction area are used to modify the corresponding reference values in the reference geographic parameters so that the geographic parameters in the prediction grid are closer to the actual ones. Then, based on the typhoon forecast pressure, the lowest air pressure position at different times in the prediction grid is calculated.
[0052] Step 204: Based on the minimum air pressure positions at different times, a typhoon forecast path with a preset horizontal resolution within a forecast time period is generated.
[0053] Specifically, the lowest air pressure positions in the grid at each moment are connected together in chronological order to obtain the typhoon prediction path with a preset horizontal resolution within the prediction time period.
[0054] In the above-mentioned typhoon path prediction method, by obtaining a preset horizontal resolution of the typhoon path prediction area, a prediction grid of the typhoon path prediction area is constructed based on the preset horizontal resolution; the reference geographical parameters of all sea and land areas in the prediction grid, the actual geographical parameters of the typhoon path prediction area and the typhoon forecast air pressure at different times within the prediction time period are obtained; based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure, the lowest air pressure position at different times in the prediction grid is calculated; based on the lowest air pressure position at different times, a typhoon prediction path of the preset horizontal resolution within the prediction time period is generated, thereby realizing typhoon path prediction based on the actual geographical parameters of the typhoon path prediction area and improving the accuracy of typhoon path forecast within the prediction area.
[0055] In an exemplary embodiment, Figure 3 As shown, step 203 calculates the lowest air pressure position at different times in the prediction grid based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure, specifically including steps 301 to 302. Wherein:
[0056] Step 301: numerically replace the reference geographical parameters according to the actual geographical parameters to obtain the revised geographical parameters of all sea and land areas in the prediction grid.
[0057] The actual geographic parameters include underlying surface parameters such as vegetation, land utilization rate, albedo, and surface temperature. The reference geographic parameters are the geographic parameter values of all land and sea areas in the prediction grid matched from the database according to user settings after the prediction grid is constructed. The corresponding parts of the reference geographic parameters are replaced with numerical values according to the actual geographic parameters to obtain the corrected geographic parameters of all land and sea areas in the prediction grid.
[0058] Step 302, calculating the typhoon forecast pressure at different times according to the corrected geographic parameters of all sea and land areas in the forecast grid, and extracting the lowest pressure position at different times in the forecast grid.
[0059] Specifically, the typhoon forecast pressure at different times is calculated according to the corrected geographic parameters, and the lowest pressure position at different times in the forecast grid is extracted. The lowest pressure position at each time is a unique value, and the lowest pressure positions at different times are connected in chronological order to obtain the typhoon forecast path with a preset horizontal resolution within the forecast time period.
[0060] In this embodiment, the actual geographical parameters of the typhoon path prediction area are used to replace the corresponding parameter values in the reference geographical parameters, so as to improve the matching degree between the data used for prediction and the actual geographical conditions, thereby achieving the best quality of typhoon path forecast.
[0061] In one of the embodiments, if the path prediction results of multiple horizontal resolutions are included when performing typhoon path prediction, for example, if the preset horizontal resolution includes a first horizontal resolution and a second horizontal resolution, a first prediction grid of the typhoon path prediction area is constructed based on the first horizontal resolution; and a second prediction grid of the typhoon path prediction area is constructed based on the second horizontal resolution. The second prediction grid includes the typhoon path prediction area and the second prediction grid is nested in the first prediction grid, and the first horizontal resolution is greater than the second horizontal resolution.
[0062] Furthermore, the first reference geographical parameters of all sea and land areas in the first prediction grid and the first typhoon forecast pressure of the first prediction grid at different times within the prediction time period are obtained; the second reference geographical parameters of all sea and land areas in the second prediction grid, the second typhoon forecast pressure of the second prediction grid at different times within the prediction time period and the actual geographical parameters of the typhoon path prediction area in the second prediction grid are obtained.
[0063] Furthermore, the first typhoon forecast pressure at different times is calculated based on the first reference geographical parameters of all sea and land areas in the first forecast grid to obtain the first lowest pressure position at different times in the first forecast grid. The second reference geographical parameters are numerically replaced based on the actual geographical parameters of the typhoon path forecast area in the second forecast grid to obtain the second corrected geographical parameters of all sea and land areas in the second forecast grid; the second typhoon forecast pressure at different times is calculated based on the second corrected geographical parameters of all sea and land areas in the second forecast grid to obtain the second lowest pressure position at different times in the second forecast grid.
[0064] It should be noted that, due to the nested relationship between the first prediction grid and the second prediction grid, and the typhoon path prediction area is located in the second prediction grid, only the first minimum air pressure position at different times in the second prediction grid is retained. And because the first prediction grid and the second prediction grid are both path predictions for the typhoon path prediction area, the first minimum air pressure position and the second minimum air pressure position at each moment are actually the same position, but the horizontal resolution of the position point data is different.
[0065] Finally, according to the first lowest air pressure position at different times in the first prediction grid, a first typhoon prediction path with a first preset horizontal resolution within the prediction time period is generated. According to the second lowest air pressure position at different times in the second prediction grid, a second typhoon prediction path with a second preset horizontal resolution within the prediction time period is generated. The first typhoon prediction path overlaps with the second typhoon prediction path.
[0066] In this embodiment, prediction grids of different sizes are constructed according to the different horizontal resolutions that need to be predicted in the typhoon path prediction area, and only the actual geographic parameters are replaced for the prediction grid with the smallest horizontal resolution, thereby achieving high-quality prediction of typhoon paths with different horizontal resolutions.
[0067] In a preferred embodiment, a typhoon path prediction method is provided, wherein the typhoon path prediction area is the Pearl River Delta region, and specifically includes the following contents:
[0068] Step 1: Set the first horizontal resolution of the Pearl River Delta region to 24 km and the second horizontal resolution to 8 km, and construct the first prediction grid and the second prediction grid of the Pearl River Delta region respectively.
[0069] Step 2: Set the first reference geographic parameters of the first prediction grid and the second reference geographic parameters of the second prediction grid.
[0070] Step 3: Obtain the first typhoon forecast pressure of the first forecast grid at different times in the forecast time period. Obtain the second typhoon forecast pressure of the second forecast grid at different times in the forecast time period and the actual geographical parameters of the Pearl River Delta region in the second forecast grid.
[0071] Step 4: Calculate the first typhoon forecast pressure at different times according to the first reference geographic parameters of all sea and land areas in the first forecast grid to obtain the first minimum pressure position at different times in the first forecast grid. Replace the second reference geographic parameters with the actual geographic parameters of the typhoon path forecast area in the second forecast grid to obtain the second corrected geographic parameters of all sea and land areas in the second forecast grid; calculate the second typhoon forecast pressure at different times according to the second corrected geographic parameters of all sea and land areas in the second forecast grid to obtain the second minimum pressure position at different times in the second forecast grid.
[0072] Step 5: Generate a first typhoon forecast path of a first preset horizontal resolution within the forecast period according to the first lowest air pressure position at different times in the first forecast grid. Generate a second typhoon forecast path of a second preset horizontal resolution within the forecast period according to the second lowest air pressure position at different times in the second forecast grid. The first typhoon forecast path overlaps with the second typhoon forecast path.
[0073] In this preferred embodiment, by modifying the underlying surface parameters such as vegetation, land utilization rate, albedo, and surface temperature in the Pearl River Delta region, it is made closer to the actual thermal conditions in the Pearl River Delta, ultimately improving the accuracy of typhoon path forecasts landing in South China.
[0074] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0075] Based on the same inventive concept, the embodiment of the present application also provides a typhoon path prediction device for implementing the typhoon path prediction method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more typhoon path prediction device embodiments provided below can refer to the limitations of the typhoon path prediction method above, and will not be repeated here.
[0076] In an exemplary embodiment, Figure 4 As shown, a typhoon path prediction device is provided, comprising: a grid construction module 501, a data acquisition module 502, an air pressure calculation module 503 and a path generation module 504, wherein:
[0077] The grid construction module 501 is used to obtain a preset horizontal resolution of the typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution.
[0078] The data acquisition module 502 is used to obtain the reference geographical parameters of all sea and land areas in the prediction grid, the actual geographical parameters of the typhoon path prediction area, and the typhoon forecast pressure at different times within the prediction time period.
[0079] The air pressure calculation module 503 is used to calculate the lowest air pressure position at different times in the prediction grid based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure.
[0080] The path generation module 504 is used to generate a typhoon prediction path with a preset horizontal resolution within a prediction time period based on the minimum air pressure position at different times.
[0081] In one of the embodiments, the air pressure calculation module 503 is also used to: numerically replace the reference geographical parameters according to the actual geographical parameters to obtain the corrected geographical parameters of all sea and land areas in the prediction grid; calculate the typhoon forecast air pressure at different times according to the corrected geographical parameters of all sea and land areas in the prediction grid, and extract the lowest air pressure position at different times in the prediction grid.
[0082] In one of the embodiments, if the preset horizontal resolution includes a first horizontal resolution and a second horizontal resolution; the first horizontal resolution is greater than the second horizontal resolution; then based on the first horizontal resolution, a first prediction grid of the typhoon path prediction area is constructed; based on the second horizontal resolution, a second prediction grid of the typhoon path prediction area is constructed; the second prediction grid includes the typhoon path prediction area and the second prediction grid is nested in the first prediction grid.
[0083] In one embodiment, the data acquisition module 502 is also used to: obtain the first reference geographic parameters of all sea and land areas in the first prediction grid, and the first typhoon forecast air pressure of the first prediction grid at different times within the prediction time period; obtain the second reference geographic parameters of all sea and land areas in the second prediction grid, the second typhoon forecast air pressure of the second prediction grid at different times within the prediction time period, and the actual geographic parameters of the typhoon path prediction area in the second prediction grid.
[0084] In one embodiment, the air pressure calculation module 503 is also used to: calculate the first typhoon forecast air pressure at different times according to the first reference geographical parameters of all sea and land areas in the first prediction grid, and obtain the first minimum air pressure position at different times in the first prediction grid; numerically replace the second reference geographical parameters according to the actual geographical parameters of the typhoon path prediction area in the second prediction grid, and obtain the second corrected geographical parameters of all sea and land areas in the second prediction grid; calculate the second typhoon forecast air pressure at different times according to the second corrected geographical parameters of all sea and land areas in the second prediction grid, and obtain the second minimum air pressure position at different times in the second prediction grid.
[0085] In one embodiment, the path generation module 504 is also used to: generate a first typhoon prediction path with a first preset horizontal resolution within a prediction time period based on the first lowest air pressure position at different times in the first prediction grid; generate a second typhoon prediction path with a second preset horizontal resolution within the prediction time period based on the second lowest air pressure position at different times in the second prediction grid; wherein the first typhoon prediction path overlaps with the second typhoon prediction path.
[0086] Each module in the above-mentioned typhoon path prediction device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.
[0087] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store reference geographic parameter data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a typhoon path prediction method is implemented.
[0088] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0089] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps corresponding to the typhoon path prediction method described in the above embodiments are implemented.
[0090] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps corresponding to the typhoon path prediction method described in the above embodiments are implemented.
[0091] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps corresponding to the typhoon path prediction method described in the above embodiments.
[0092] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0093] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0094] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A typhoon path prediction method, characterized in that: The method comprises: Acquire a preset horizontal resolution of a typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution; Obtaining reference geographic parameters of all sea and land areas in the prediction grid, actual geographic parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period; Based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure, the lowest air pressure position at different times in the prediction grid is calculated; Based on the minimum air pressure positions at different times, a typhoon forecast path with a preset horizontal resolution within a forecast time period is generated.
2. The typhoon path prediction method according to claim 1, characterized in that: The step of calculating the lowest air pressure position at different times in the prediction grid based on the reference geographical parameter, the actual geographical parameter and the typhoon forecast air pressure includes: Performing numerical substitution on the reference geographical parameters according to the actual geographical parameters to obtain the revised geographical parameters of all sea and land areas in the prediction grid; The typhoon forecast air pressure at different times is calculated based on the corrected geographic parameters of all sea and land areas in the forecast grid, and the lowest air pressure position at different times in the forecast grid is extracted.
3. The typhoon path prediction method according to claim 1, characterized in that: If the preset horizontal resolution includes a first horizontal resolution and a second horizontal resolution; the first horizontal resolution is greater than the second horizontal resolution; then constructing a first prediction grid for the typhoon path prediction area based on the first horizontal resolution; Based on the second horizontal resolution, construct a second prediction grid for the typhoon path prediction area; The second prediction grid includes the typhoon path prediction area and the second prediction grid is nested in the first prediction grid.
4. The typhoon path prediction method according to claim 3, characterized in that: The obtaining of reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period includes: Acquire first reference geographic parameters of all sea and land areas in the first prediction grid and first typhoon forecast pressures of the first prediction grid at different times within a prediction time period; The second reference geographic parameters of all sea and land areas in the second prediction grid, the second typhoon forecast pressure of the second prediction grid at different times within the prediction time period, and the actual geographic parameters of the typhoon path prediction area in the second prediction grid are obtained.
5. The typhoon path prediction method according to claim 4, characterized in that: The step of calculating the lowest air pressure position at different times in the prediction grid based on the reference geographical parameter, the actual geographical parameter and the typhoon forecast air pressure includes: Calculating the first typhoon forecast air pressure at different times according to the first reference geographic parameters of all sea and land areas in the first prediction grid to obtain the first lowest air pressure position at different times in the first prediction grid; The second reference geographical parameters are numerically replaced according to the actual geographical parameters of the typhoon path prediction area in the second prediction grid to obtain second corrected geographical parameters of all sea and land areas in the second prediction grid; the second typhoon forecast air pressure at different times is calculated according to the second corrected geographical parameters of all sea and land areas in the second prediction grid to obtain the second lowest air pressure position at different times in the second prediction grid.
6. The typhoon path prediction method according to claim 5, characterized in that: The generating of a typhoon prediction path of a preset horizontal resolution within a prediction time period based on the lowest air pressure position at different times includes: Generate a first typhoon forecast path with a first preset horizontal resolution within a forecast time period according to the first minimum air pressure position at different times in the first forecast grid; A second typhoon prediction path with a second preset horizontal resolution within the prediction time period is generated according to the second lowest air pressure position at different times in the second prediction grid; wherein the first typhoon prediction path overlaps with the second typhoon prediction path.
7. A typhoon path prediction device, characterized in that: The device comprises: A grid construction module, used to obtain a preset horizontal resolution of a typhoon path prediction area, and construct a prediction grid of the typhoon path prediction area based on the preset horizontal resolution; A data acquisition module, used to acquire reference geographical parameters of all sea and land areas in the prediction grid, actual geographical parameters of the typhoon path prediction area, and typhoon forecast pressure at different times within the prediction time period; An air pressure calculation module, configured to calculate the lowest air pressure position at different times in the prediction grid based on the reference geographical parameters, the actual geographical parameters and the typhoon forecast air pressure; The path generation module is used to generate a typhoon prediction path with a preset horizontal resolution within a prediction time period based on the minimum air pressure position at different times.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.