CN114021504A - Urban typhoon track prediction method and device - Google Patents
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Abstract
The embodiment of the invention provides a method, a device and a storage device for predicting urban typhoon tracks, wherein the method comprises the following steps: acquiring wind parameters of typhoon and an initial position of the typhoon entering a target city; simulating the airflow motion of typhoon in the target city by utilizing wind parameters and an initial position based on a pre-established underlying surface model and a fluid mechanics model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images presenting typhoon positions and wind conditions in the underlying surface model; and recording the typhoon motion images at the plurality of continuous moments to form a predicted motion track of the typhoon in the target city. By predicting the movement track of the typhoon in the target city, the loss caused by the damage of the typhoon in the target city can be effectively reduced.
Description
Technical Field
The invention relates to the technical field of trajectory prediction, in particular to a method and a device for predicting urban typhoon trajectories.
Background
At present, the origin, path, wind power level, path time and the like of typhoon are mostly detected by the combination of early warning radar and ocean resource satellite. The future overall path of the typhoon is predicted by collecting satellite cloud pictures and various observation data and processing the data. In the field of meteorological research, there are many methods for forecasting the typhoon about to enter, but for forecasting the typhoon entering into the strong wind, the whole path of the typhoon above the entering city is simulated and predicted through detection of meteorological satellites, early warning radars and the like. After the typhoon enters the city, the research on how to perform continuous movement in the city is very little.
According to the data of the urban damage caused by typhoon in the past year, the moving track of the typhoon entering the city is predicted, the precaution can be effectively achieved in advance, and the economic loss and the casualty condition are reduced.
Disclosure of Invention
Therefore, the invention provides a method and a device for predicting a city typhoon track, aiming at solving the technical problem that the specific motion track of the typhoon entering the city cannot be predicted in the prior art.
According to a first aspect, an embodiment of the present invention provides a method for predicting an urban typhoon trajectory, which is characterized by including the following steps: acquiring wind power parameters of typhoon and an initial position of the typhoon entering a target city; simulating the airflow motion of the typhoon in the target city by utilizing the wind power parameters and the initial position based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images showing the typhoon positions and the wind conditions in the underlying surface model; and recording the typhoon motion images at the plurality of continuous moments to form a predicted motion track of the typhoon in the target city.
Optionally, the fluid mechanics model corresponds to the underlying model corresponding to the target city, and the underlying model is a high spatial resolution model.
Optionally, based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city, simulating the airflow movement of the typhoon in the target city by using the wind power parameter and the initial position to obtain simulated typhoon motion images at a plurality of continuous moments, including: predicting wind condition parameters of each building of the target city; inputting the wind condition parameters into the fluid mechanics model, and simulating to obtain the collision phenomenon of the airflow between the buildings; and analyzing the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
Optionally, the method for predicting the urban typhoon track further includes: acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments; and determining external energy introduced into the underlying model and the fluid mechanics model by using the simulation boundary value, and continuing to simulate the collision phenomenon of the airflow between the buildings.
Optionally, the recording the motion images of the typhoon at the plurality of consecutive time instants to form a predicted motion track of the typhoon in the target city includes: and acquiring a plurality of typhoon motion images with continuous time according to the selected duration and the acquisition period to generate a typhoon motion video for forecasting the motion trail of the typhoon.
According to a second aspect, an embodiment of the present invention provides an urban typhoon trajectory prediction apparatus, including: the acquisition module is used for acquiring the wind power parameters of the typhoon and the initial position of the typhoon entering a target city; the simulation module is used for simulating the airflow motion of the typhoon in the target city by utilizing the wind power parameters and the initial position based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images showing the typhoon positions and the wind conditions in the underlying surface model; and the recording module is used for recording the typhoon motion images at the continuous moments to form a predicted motion track of the typhoon in the target city.
Optionally, the simulation module further comprises: the parameter submodule is used for predicting the wind condition parameters of all buildings of the target city; the collision submodule is used for inputting the wind condition parameters into the fluid mechanics model and simulating to obtain the collision phenomenon of the airflow between the buildings; and the analysis submodule is used for analyzing and obtaining the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
Optionally, the collision sub-module further comprises: the boundary unit is used for acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments; and the introducing unit is used for determining external energy introduced into the underlying model and the fluid mechanics model by utilizing the simulation boundary value and continuing to simulate the collision phenomenon of the airflow between the buildings.
According to a third aspect, an embodiment of the present invention provides a computer device, including: the urban typhoon trajectory prediction method comprises a memory and a processor, wherein the memory and the processor are mutually connected in a communication mode, computer instructions are stored in the memory, and the processor executes the computer instructions so as to execute the urban typhoon trajectory prediction method.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing the computer to execute the above-mentioned city typhoon trajectory prediction method.
The technical scheme of the invention has the following advantages:
in the embodiment of the invention, the wind power parameters, the initial position and the like of the current typhoon about to enter the target city are obtained and used as input data. The input data is input into simulation software which contains pre-established underlying models and fluid mechanics models for the target city. And simulating the airflow movement, the typhoon position and the like of the typhoon in the target city according to the input data. And recording the typhoon motion image according to the simulation time length by simulating the acquired typhoon motion image, thereby acquiring the predicted motion track of the typhoon in the target city. By simulating and predicting the airflow movement and the typhoon position of the typhoon in the target city, the movement track of the typhoon entering the target city can be truly and visually reflected, and precautionary measures are taken in advance.
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 other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a method for predicting an urban typhoon track in embodiment 1 of the present invention;
fig. 2 is a schematic block diagram of a specific example of an urban typhoon trajectory prediction device in embodiment 2 of the present invention;
fig. 3 is a schematic structural diagram of a specific example of a computer device in embodiment 3 of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention provides a city typhoon track prediction method which can predict airflow movement, typhoon position and the like of typhoon after entering the interior of a target city. When the typhoon is about to enter the target city, the motion condition of the typhoon entering the target city is simulated according to the moving speed, the wind power, the initial position and the like of the target city. And recording the simulation result to form a predicted motion track, and effectively reducing the loss caused by the damage of typhoon in the target city by predicting the predicted motion track.
Example 1
The embodiment provides a method for predicting a typhoon track of an urban, which can be executed by equipment such as a server, and can realize the prediction of the typhoon track by constructing, calculating, outputting simulation data and the like of an underlying model and a fluid mechanics model through the equipment such as the server. Specifically, as shown in fig. 1, the method comprises the following steps:
step S101, obtaining a wind power parameter of typhoon and an initial position of the typhoon entering a target city.
Whenever the high-rise season of typhoon comes, with the accumulation of a large amount of water vapor at sea, a large amount of heat needs to be released when the sea surface air rises to pre-condense into water droplets. The low-layer water vapor close to the sea surface continuously rises, and the rising of the water vapor causes the air pressure of the low layer close to the sea surface to gradually fall. Under the action of the earth rotation, the air is continuously circulated and rotated, and finally the typhoon is formed. According to the cloud formation process, the cloud formation is also caused by the condensation of water vapor existing in the atmosphere. During the process of gathering a great deal of water vapor at sea, it is also the cloud that is slowly forming. Therefore, the typhoon can observe the water vapor temperature brightness/infrared cloud picture/visible light cloud picture and the like through a meteorological satellite at the initial stage of formation, and whether the typhoon is about to form or not is judged according to the characteristics of the typhoon formation. For example, typhoons can rapidly rotate around their own center in the atmosphere, and at the same time, they can continuously move forward, and have obvious air vortex.
When the meteorological satellite observes that typhoon is about to form, the airflow in the typhoon starts to continuously rotate and move under the action of the air pressure and the turning deviation force, and the continuous movement of the cloud is also accompanied in the process of typhoon forming and rotating and moving. Therefore, the moving track of the typhoon can be tracked in real time according to the satellite cloud pictures continuously shot by the meteorological satellite. The specific position formed by the typhoon can be observed through a meteorological satellite, and the landing information that the typhoon is about to enter a target city is predicted according to the moving track of the typhoon. The login information may include an initial position where the typhoon is about to enter the target city, a time when the typhoon is about to enter the target city, and the like. The initial position may include a specific position of the typhoon eye landing, a direction of the typhoon landing, a coverage area of the typhoon landing, and the like. The specific position of the typhoon landing can be recorded by referring to longitude and latitude methods, and the landing direction can be oriented by referring to a map azimuth, namely, the north is a setting method for orientation. For example, according to weather satellite prediction, typhoon will enter coastal city B of sea A from sea A, and sea A is in the south-facing direction of city B, when typhoon lands on city B, the landing direction is in the south-facing direction. The coverage surface for the typhoon landing can be that the area of a city covered by a target city for the typhoon landing is calculated by taking a typhoon eye as the center and a vortex formed by the typhoon as the diameter.
The moving speed of the typhoon, the wind speed of the typhoon and the like in the moving process of the typhoon can be observed and calculated through the meteorological satellite. The wind power parameter is a parameter that typhoon is about to enter a target city, and may include a moving speed, a wind speed, wind power and the like that typhoon is about to enter the target city, and the target city may be any city that typhoon is about to log in.
According to the initial position of the current typhoon about to enter the target city, the wind power parameter of the coming typhoon about to enter the target city can be monitored through the land meteorological station.
And S102, simulating the airflow motion of the typhoon in the target city by using the wind power parameters and the initial position based on the pre-established underlying surface model and the fluid mechanics model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images showing the typhoon positions and the wind conditions in the underlying surface model.
The underlying surface model of the target city is a pre-established target city model, and can be constructed by the method for establishing the underlying surface model provided in the invention creation under the name of 'a training method and a device for city wind condition simulation model' in the embodiment of the invention. Specifically, the relevant information of the target city can be obtained through the hyperspectral remote sensing satellite, and the relevant information can include all landform features of the lower atmosphere layer in the area where the target city is located, which are directly contacted with the earth surface, and also includes attribute features of materials, colors and the like of buildings. All detail characteristics of all buildings in the target city can be subjected to three-dimensional modeling through a three-dimensional reconstruction method, and a three-dimensional model is obtained. And combining the obtained three-dimensional model of the building with all the landform characteristics obtained by the hyperspectral remote sensing satellite and the attribute characteristics of the material, the color and the like of the building, thereby obtaining the underlying model with high spatial resolution.
The high spatial resolution underlying surface model includes all detail features of the building. All the detail characteristics of the buildings in the target city, including the roofs of the buildings, all the side surfaces of the buildings, the bottom end information of the buildings and the like, can acquire the images of the buildings and the internal orientation elements and the external orientation elements corresponding to the images of the buildings according to the multi-view oblique photogrammetry system; self-defining a three-dimensional template by adopting a semi-automatic point location measurement method based on the building image and the internal orientation element and the external orientation element corresponding to the building image; and constructing the building of the target city by adopting a semi-automatic point location measurement method based on the three-dimensional template. The constructed three-dimensional building model has abundant detail characteristics and more abundant spatial information.
The fluid mechanics model is actually a mathematical model established according to a differential equation of motion of the fluid. And establishing a fluid mechanics model according to wind power parameters of the typhoon about to enter the target city in the past year, the moving speed, wind power and wind speed of the typhoon in the past year in the target city, horizontal gradient force, pressure, turning deviation force and friction force of the typhoon in different positions in the target city in the past year, force possibly applied by any typhoon when moving in the target city, and the like. Through the established fluid mechanics model, the airflow movement of the typhoon can be calculated by inputting the information such as the wind power parameters of the typhoon about to enter the target city.
The target city underlying model and the fluid mechanics model are imported into simulation software including, but not limited to, CFD, VirtualFlow. Further, gridding the underlying model of the target city. The degree of fineness of the mesh can be divided according to the degree of fineness to be achieved. The purpose of gridding is that when typhoon airflow movement is simulated, the airflow movement of typhoon can be refined according to the grids, namely, when the typhoon moves in a target city, the airflow movement of tiles or wall surfaces and road surfaces of buildings at each position in the target city can be clearly analyzed.
Inputting the wind power parameters and the initial position of the typhoon about to enter the target city, specifically, the moving speed, the wind power, the specific position of typhoon eye landing, the direction of typhoon landing, the coverage area of typhoon landing and the like of the typhoon into simulation software together, and simulating the airflow movement of the typhoon in the target city. A plurality of consecutive moments of the typhoon motion picture can be simulated, the typhoon motion picture comprising an image of the air flow motion of the typhoon simulated in the underlying surface model, that is, an image of the wind condition. The typhoon moving picture also includes typhoon positions obtained by simulation in the underlying surface model, which may include wind eye positions or the like where typhoons move continuously in a target city. The plurality of consecutive times may be a preset analog duration. For example, when data is input, a time period of 5 minutes is set, and the continuous airflow movement and typhoon position of typhoon in the next continuous 5 minutes can be obtained through simulation.
And step S103, recording the typhoon motion images at the plurality of continuous moments to form a predicted motion track of the typhoon in the target city.
As described in step S102, the typhoon motion picture includes the image of the airflow movement of the typhoon simulated in the underlying surface model, that is, the image of the wind condition, and the typhoon motion picture also includes the typhoon position obtained by the simulation in the underlying surface model.
In the case of continuous simulation, that is, simulation at continuous time, there is a possibility that the simulation data is stuck and intermittently interrupted due to a large amount of simulation data. Therefore, the airflow movement and typhoon position of the typhoon at a plurality of continuous moments in the simulation duration need to be recorded periodically according to the forecasted required data. And splicing the recorded typhoon motion images according to the time sequence, and obtaining the predicted motion trail of the target city.
In this embodiment, the wind power parameter, the initial position, and the like of the current typhoon about to enter the target city are obtained as input data. The input data is input into simulation software which contains pre-established underlying models and fluid mechanics models for the target city. And simulating the airflow movement, the typhoon position and the like of the typhoon in the target city according to the input data. And recording the typhoon motion image according to the simulation time length by simulating the acquired typhoon motion image, thereby acquiring the predicted motion track of the typhoon in the target city. The method has the advantages that the method can truly and visually reflect the movement condition of the typhoon after entering the target city by simulating and predicting the airflow movement and the typhoon position of the typhoon in the target city, and can predict and prevent the typhoon in advance.
As an optional implementation manner, the method for predicting a typhoon trajectory in an urban area in the embodiment of the present invention is characterized in that the fluid mechanics model corresponds to the underlying model corresponding to the target city, and the underlying model is a high spatial resolution model.
The high spatial resolution underlying model not only includes all detail features of the building, but also includes all detail features of the target city. Particularly, abundant spectrum information in a target city acquired through a hyperspectral remote sensing satellite can be used for extracting fine landform characteristic information. The spectrum information is electromagnetic waves emitted by a hyperspectral remote sensing satellite, and light waves of different wave bands are formed by reflection of buildings, the ground, mountains and the like in a target city. There are visible light and infrared light according to the band division of the spectrum. According to the spectrum information, information such as any ground brick, rock lines, flower and grass shapes, building colors and the like in the target city can be obtained. Therefore, the size and the shape of the building constructed by the lower mat model with high spatial resolution, wall cracks, details of the joint of the ground and the building, trees, grass and other detailed information can be displayed visually.
In the embodiment, by constructing the lower cushion model with high spatial resolution, details of each place in the target city can be accurately displayed, and the movement condition of the air flow in the city can be more accurately reflected when the air flow movement is simulated.
As an optional implementation manner, in an embodiment of the present invention, based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city, the wind power parameter and the initial position are used to simulate the airflow movement of the typhoon in the target city, so as to obtain simulated typhoon motion images at a plurality of consecutive times, where the simulation includes: predicting wind condition parameters of each building of the target city; inputting the wind condition parameters into the fluid mechanics model, and simulating to obtain the collision phenomenon of the airflow between the buildings; and analyzing the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
Specifically, when the fluid mechanics model is constructed, a series of data such as wind parameters of typhoon about to enter the target city over the years, moving speed of typhoon over the years in the target city, wind power, wind speed and the like need to be acquired. The moving speed, wind power, and wind speed of the typhoon in the target city are referred to as wind condition parameters. The wind condition parameter can be the wind condition parameter of the past year or the wind condition parameter of the typhoon entering the target city.
And according to the wind power parameter of the current typhoon about to enter the target city, and by combining historical data, predicting the wind condition parameter of the current typhoon entering the target city. That is, the wind parameter is a moving speed, wind power, wind speed, and the like of the typhoon that is about to enter the target city but has not yet entered the target city, and the wind condition parameter is a moving speed, wind power, wind speed, and the like of the current typhoon in the target city, which is obtained by prediction.
After typhoon enters a target city, airflow can move ceaselessly and collide with buildings, mountains, obstacles and the like, and after collision, the airflow can change the movement direction and continue to flow continuously. The wind condition parameters of the typhoon entering the target city are input into the fluid mechanics model, and the collision phenomenon of the airflow between the buildings can be obtained through simulation on the basis of the underlying surface model.
After the air flow collides with each building, an image that can express the state and direction of the air flow, that is, an image of the movement of the air flow, and also an image of the wind conditions, can be generated. The state of the gas flow may include, among others, turbulence, molecular flow, etc.
In this embodiment, the wind condition parameters of the current typhoon entering the target city are predicted by combining the wind condition parameters of the typhoon in the target city over the years, and the predicted wind condition parameters are used as input data to simulate the flowing state and direction of the current typhoon, i.e., the airflow after the typhoon enters the target city and collides with buildings and the like. The phenomenon of collision with a building is considered, the possible condition that real typhoon flows in the city is restored, and the prediction accuracy is improved.
As an optional implementation manner, in the embodiment of the present invention, the method further includes: acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments; and determining external energy introduced into the underlying model and the fluid mechanics model by using the simulation boundary value, and continuing to simulate the collision phenomenon of the airflow between the buildings.
Specifically, the underlying model of the target city constructed in this embodiment is only a model of an area related to the target city, and is an external area for the adjacent boundary and areas other than the target city.
When the typhoon continues to flow inside the target city, the fluid gradually diffuses outwards until the fluid diffuses to the boundary of the target city. The simulation boundary value of the constructed underlying model of the target city can be obtained through simulation, and the simulation boundary value is the simulation boundary value at a plurality of continuous moments, namely the wind condition parameter of the typhoon moving to the boundary of the target city at a plurality of continuous moments. The external energy that can be introduced is determined on the basis of the acquired simulation limit values. For example, when typhoon moves inside the target city, at a certain time, the airflow flows to the boundary of the underlying surface model, and at this time, the wind speed, the wind power, and the like, that are the wind condition parameters, that reach the boundary of the underlying surface model. And determining the wind condition parameters of external energy to be introduced according to the acquired boundary wind condition parameters of the underlying surface model. In particular, if the wind speed at this moment is 5m/s, the external energy introduced can also be a wind speed of 5 m/s. The external energy is wind continuously flowing into the lower cushion surface model from the external area. After introduction, the phenomenon of collision of the air flow between buildings is continuously simulated.
In the implementation, the airflow is only simulated in the underlying surface model of the target city, and as time goes on, if no external energy is inrush, the typhoon in the target city gradually disappears, which is not consistent with the typhoon movement phenomenon in the real environment. Thus, the simulation of the air flow movement continues with the introduction of external energy, i.e. taking into account the external incoming wind.
As an optional implementation manner, in an embodiment of the present invention, the recording the motion images of the typhoon at the multiple consecutive time instants to form a predicted motion trajectory of the typhoon in the target city includes: and acquiring a plurality of typhoon motion images with continuous time according to the selected duration and the acquisition period to generate a typhoon motion video for forecasting the motion trail of the typhoon.
Specifically, according to the duration of the simulation typhoon motion image, the airflow motion and typhoon position of the typhoon in the simulation duration are periodically sampled. For example, it is preset that a typhoon moving image simulation is performed for 5 minutes continuously after a typhoon enters a target city, and due to the huge amount of simulation data in 5 minutes, a situation of stutter and intermittent intermittence may occur during continuous simulation, so that it is necessary to record one typhoon moving image every 2 seconds according to a video requirement, and it is only necessary to record 150 continuous typhoon moving images in 5 minutes to generate a typhoon moving video, and a predicted moving track of the target city can be obtained as well. The motion track is a track of the air flow motion at a plurality of continuous moments.
In the embodiment, the typhoon motion images at a plurality of continuous moments are reasonably selected according to the actual forecasting requirement, so that the data volume required in forecasting can be reduced, and meanwhile, the continuity of the motion track can be ensured.
Example 2
The present embodiment provides an urban typhoon trajectory prediction apparatus, which may be used to execute the urban typhoon trajectory prediction method in embodiment 1, and the apparatus may be attached to a server or other devices, and modules cooperate with each other, thereby implementing prediction of a typhoon trajectory. Specifically, as shown in fig. 2, the apparatus includes:
an obtaining module 201, configured to obtain a wind parameter of a typhoon and an initial position of the typhoon entering a target city;
the simulation module 202 is configured to simulate, based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city, airflow movement of the typhoon in the target city by using the wind power parameter and the initial position to obtain simulated typhoon motion images at multiple continuous moments, where the typhoon motion images are images showing the typhoon position and the wind condition in the underlying surface model;
and the recording module 203 is configured to record the typhoon motion images at the multiple consecutive moments to form a predicted motion track of the typhoon in the target city.
In this embodiment, the wind power parameter, the initial position, and the like of the current typhoon about to enter the target city are obtained as input data. The input data is input into simulation software which contains pre-established underlying models and fluid mechanics models for the target city. And simulating the airflow movement, the typhoon position and the like of the typhoon in the target city according to the input data. And recording the typhoon motion image according to the simulation time length by simulating the acquired typhoon motion image, thereby acquiring the predicted motion track of the typhoon in the target city. The method has the advantages that the method can truly and visually reflect the movement condition of the typhoon after entering the target city by simulating and predicting the airflow movement and the typhoon position of the typhoon in the target city, and can predict and prevent the typhoon in advance.
As an optional implementation manner, in an embodiment of the present invention, the simulation module further includes:
the parameter submodule is used for predicting the wind condition parameters of all buildings of the target city;
the collision submodule is used for inputting the wind condition parameters into the fluid mechanics model and simulating to obtain the collision phenomenon of the airflow between the buildings;
and the analysis submodule is used for analyzing and obtaining the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
In this embodiment, the wind condition parameters of the current typhoon entering the target city are predicted by combining the wind condition parameters of the typhoon in the target city over the years, and the predicted wind condition parameters are used as input data to simulate the flowing state and direction of the current typhoon, i.e., the airflow after the typhoon enters the target city and collides with buildings and the like. The phenomenon of collision with a building is considered, the possible condition that real typhoon flows in the city is restored, and the prediction accuracy is improved.
As an optional implementation manner, in an embodiment of the present invention, the collision submodule further includes:
the boundary unit is used for acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments;
and the introducing unit is used for determining external energy introduced into the underlying model and the fluid mechanics model by utilizing the simulation boundary value and continuing to simulate the collision phenomenon of the airflow between the buildings.
In the implementation, the airflow is only simulated in the underlying surface model of the target city, and as time goes on, if no external energy is inrush, the typhoon in the target city gradually disappears, which is not consistent with the typhoon movement phenomenon in the real environment. Thus, the simulation of the air flow movement continues with the introduction of external energy, i.e. taking into account the external incoming wind.
For the detailed description of the above device part, reference may be made to the above method embodiments, which are not described herein again.
Example 3
The present embodiment provides a computer device, as shown in fig. 3, the computer device includes a processor 301 and a memory 302, where the processor 301 and the memory 302 may be connected by a bus or by other means, and fig. 3 takes the example of connection by a bus as an example.
The memory 302 is a non-transitory computer readable storage medium, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the urban typhoon trajectory prediction method in the embodiment of the present invention. The processor 301 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 302, namely, implements the urban typhoon trajectory prediction method in the above method embodiment.
The memory 302 may further include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 301, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 302 may optionally include memory located remotely from the processor 301, which may be connected to the processor 301 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The memory 302 stores one or more modules that, when executed by the processor 301, perform the urban typhoon trajectory prediction method in the embodiment shown in fig. 1.
The details of the computer device can be understood with reference to the corresponding related descriptions and effects in the embodiment shown in fig. 1, and are not described herein again.
The embodiment of the invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions can execute the urban typhoon trajectory prediction method in any embodiment. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (10)
1. A city typhoon track prediction method is characterized by comprising the following steps:
acquiring wind power parameters of typhoon and an initial position of the typhoon entering a target city;
simulating the airflow motion of the typhoon in the target city by utilizing the wind power parameters and the initial position based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images showing the typhoon positions and the wind conditions in the underlying surface model;
and recording the typhoon motion images at the plurality of continuous moments to form a predicted motion track of the typhoon in the target city.
2. The method of predicting urban typhoon trajectories according to claim 1, characterized in that said fluid mechanics model corresponds to said underlying model corresponding to said target city, said underlying model being a high spatial resolution model.
3. The urban typhoon track prediction method according to claim 1, wherein the simulating the airflow motion of the typhoon in the target city by using the wind power parameters and the initial position based on the pre-established underlying surface model and the fluid mechanics model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments comprises:
predicting wind condition parameters of each building of the target city;
inputting the wind condition parameters into the fluid mechanics model, and simulating to obtain the collision phenomenon of the airflow between the buildings;
and analyzing the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
4. The urban typhoon trajectory prediction method according to claim 3, further comprising:
acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments;
and determining external energy introduced into the underlying model and the fluid mechanics model by using the simulation boundary value, and continuing to simulate the collision phenomenon of the airflow between the buildings.
5. The city typhoon track prediction method according to claim 1, wherein the recording of the typhoon motion pictures at the plurality of consecutive time instants to form the predicted motion track of the typhoon in the target city comprises:
and acquiring a plurality of typhoon motion images with continuous time according to the selected duration and the acquisition period to generate a typhoon motion video for forecasting the motion trail of the typhoon.
6. An urban typhoon trajectory prediction device, comprising:
the acquisition module is used for acquiring the wind power parameters of the typhoon and the initial position of the typhoon entering a target city;
the simulation module is used for simulating the airflow motion of the typhoon in the target city by utilizing the wind power parameters and the initial position based on a pre-established underlying surface model and a pre-established hydrodynamic model of the target city to obtain simulated typhoon motion images at a plurality of continuous moments, wherein the typhoon motion images are images showing the typhoon positions and the wind conditions in the underlying surface model;
and the recording module is used for recording the typhoon motion images at the continuous moments to form a predicted motion track of the typhoon in the target city.
7. The apparatus of claim 6, wherein the simulation module further comprises:
the parameter submodule is used for predicting the wind condition parameters of all buildings of the target city;
the collision submodule is used for inputting the wind condition parameters into the fluid mechanics model and simulating to obtain the collision phenomenon of the airflow between the buildings;
and the analysis submodule is used for analyzing and obtaining the flowing state and direction of the gas according to the simulated collision condition of the gas flow.
8. The apparatus of claim 7, wherein the collision sub-module further comprises:
the boundary unit is used for acquiring simulation boundary values of the plurality of continuous moments, wherein the simulation boundary values are wind condition parameters of the typhoon at the target city boundary at the plurality of continuous moments;
and the introducing unit is used for determining external energy introduced into the underlying model and the fluid mechanics model by utilizing the simulation boundary value and continuing to simulate the collision phenomenon of the airflow between the buildings.
9. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the city typhoon trajectory prediction method according to any one of claims 1 to 5.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the city typhoon trajectory prediction method according to any one of claims 1 to 5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116341287A (en) * | 2023-05-24 | 2023-06-27 | 自然资源部第二海洋研究所 | Track self-adaptive gridding processing method based on optimal typhoon track data |
| CN117610940A (en) * | 2024-01-18 | 2024-02-27 | 航天宏图信息技术股份有限公司 | Method, device, equipment and medium for evaluating risk of storm disaster |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116341287A (en) * | 2023-05-24 | 2023-06-27 | 自然资源部第二海洋研究所 | Track self-adaptive gridding processing method based on optimal typhoon track data |
| CN117610940A (en) * | 2024-01-18 | 2024-02-27 | 航天宏图信息技术股份有限公司 | Method, device, equipment and medium for evaluating risk of storm disaster |
| CN117610940B (en) * | 2024-01-18 | 2024-04-16 | 航天宏图信息技术股份有限公司 | Method, device, equipment and medium for evaluating risk of storm disaster |
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