A method and system for constructing a port infrastructure marine environmental disaster early warning platform

Abstract

The invention relates to the technical field of early warning platform construction, and discloses a method and system for constructing a port infrastructure marine environmental disaster early warning platform. The method comprises: obtaining the current time point, current position, current speed of a typhoon, air density at the height of the typhoon, and gravity acceleration; constructing a motion equation to calculate the speed of the typhoon at the next time point; calculating adjacent values ​​between the current time point and the next time point of the typhoon; updating the position and speed between the current time point and the next time point of the typhoon to obtain an updated position, an updated speed, and a typhoon path; calculating the typhoon wave height according to the typhoon path and the typhoon intensity; and by updating the typhoon path in real time, more accurately reflecting the actual movement of the typhoon, more capturing subtle changes in the typhoon path, realizing real-time monitoring, and providing strong data support for the construction of the early warning platform.

Description

Technical Field

[0001] The present invention relates to the technical field of early warning platform construction, and in particular to a method and system for constructing a port infrastructure marine environmental disaster early warning platform. Background Art

[0002] Marine environmental disasters such as typhoons, storm surges, and tsunamis may not only cause casualties, but also cause huge economic losses. Therefore, it is particularly important to establish an efficient and accurate marine environmental disaster early warning system.

[0003] At present, traditional marine environment monitoring systems mainly rely on data collection from fixed sites, such as weather stations on land, buoys in the ocean, etc. However, these traditional methods have certain limitations, such as the data collection points are relatively scattered, making it difficult to cover a wide sea area; data transmission may be delayed, which cannot meet the needs of real-time monitoring and leads to insufficient accuracy of early warning. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for constructing a port infrastructure marine environmental disaster early warning platform to realize the construction of the early warning platform.

[0005] The present invention provides a method for constructing a port infrastructure marine environmental disaster early warning platform, comprising:

[0006] Step 100, acquiring multi-source ocean environment data;

[0007] Step 200, fusing multi-source ocean environment data to obtain fused data;

[0008] Step 300, constructing a forecast model to obtain forecast data based on the fused data, and predicting the typhoon path based on the forecast data;

[0009] Predicting the typhoon path based on forecast data includes the following steps:

[0010] Step 310, obtaining the current time point, current position, current speed of the typhoon, air density at the height of the typhoon, and gravity acceleration according to the fused data;

[0011] Step 320, obtaining pressure gradient force and Coriolis force according to the forecast data;

[0012] Step 330, constructing a motion equation based on the pressure gradient force, Coriolis force, air density, and gravitational acceleration to calculate the speed of the typhoon at the next time point;

[0013] Step 340, calculating the adjacent values ​​between the current time point and the next time point of the typhoon according to the current time point, current position, current speed, air density, and gravity acceleration of the typhoon; the time step between the current time point and the next time point of the typhoon is h;

[0014] Step 350, updating the position and speed between the current time point and the next time point of the typhoon occurrence according to the adjacent values ​​to obtain an updated position and an updated speed;

[0015] Step 360, obtaining a typhoon path according to the location where the typhoon occurs and multiple updated locations;

[0016] Step 400, calculating the typhoon wave height according to the typhoon path;

[0017] Step 500, obtaining an ocean dynamic environment status data set according to the typhoon wave height, and sending the ocean dynamic environment status data set to a cloud server for real-time monitoring and early warning of the ocean environment.

[0018] Furthermore, the motion equation is:

[0019] ;

[0020] In the formula, represents the rate of change of typhoon speed over time, represents the air density, represents the Coriolis force acceleration, g represents the acceleration due to gravity, Represents the pressure gradient force.

[0021] Furthermore, calculating the adjacent values ​​between the current time point and the next time point of the typhoon refers to calculating the adjacent values ​​at the current time point and current position, the next time point and its corresponding position, and the time point and position at half the time step.

[0022] Furthermore, the calculation formula of the adjacent value is:

[0023] ;

[0024] ;

[0025] ;

[0026] In the formula, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the typhoon at the end of the full time step Time point and The velocity change of position, f represents the Coriolis force acceleration, h represents the time step, and g represents the gravitational acceleration.

[0027] Furthermore, the calculation formulas for the update speed and update position are:

[0028] ;

[0029] ;

[0030] ;

[0031] In the formula, Represents the update speed, Represents the current position, Represents the current position speed, Represents the updated position, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the typhoon at the end of the full time step Time point and The velocity change of the position, X represents the component of the velocity change in the X direction, and Y represents the component of the velocity change in the Y direction.

[0032] Furthermore, the calculation of typhoon wave height includes the following steps:

[0033] Step 410, obtaining the speed of each location on the typhoon path;

[0034] Step 420, determining the duration of the speed according to the speed of step 410;

[0035] Step 430, obtaining the typhoon wave height according to the speed at each location and the duration of the speed.

[0036] Further, step 410, obtaining the speed of each position of the typhoon path includes:

[0037] Step 411, obtaining the maximum speed and obtaining each position of the typhoon path and the current position of the typhoon, calculating the relative displacement of each position of the typhoon path and the current position of the typhoon, and obtaining the distance at which the maximum speed occurs according to the maximum speed;

[0038] Step 412, determining the wind speed diffusion coefficient according to the relative distance;

[0039] Step 413, calculating the speed of each position on the typhoon path according to the maximum speed, the distance at which the maximum speed occurs, the relative displacement, and the wind speed diffusion coefficient.

[0040] The present invention also provides a port infrastructure marine environmental disaster early warning platform construction system, including the following modules:

[0041] Multi-source ocean environment data acquisition module: used to acquire multi-source ocean environment data;

[0042] Fusion module: connected with the multi-source ocean environment data acquisition module, used to fuse the multi-source ocean environment data to obtain fused data;

[0043] Typhoon path prediction module: connected with the fusion module, used to build a forecast model based on the fusion data, obtain forecast data, and predict the typhoon path based on the forecast data;

[0044] Typhoon wave height calculation module: connected to the typhoon path prediction module, used to obtain the typhoon intensity according to the typhoon path, and calculate the typhoon wave height according to the typhoon path and typhoon intensity;

[0045] Real-time monitoring and early warning module: connected to the typhoon wave height calculation module, used to obtain the ocean dynamic environment status data set according to the typhoon wave height, and send the ocean dynamic environment status data set to the cloud server for real-time monitoring and early warning of the ocean environment.

[0046] The embodiments of the present invention have the following technical effects:

[0047] The present invention calculates the speed at the next time point through the motion equation, the updated position and the updated speed obtained by the adjacent values ​​between the current time point and the next time point, thereby obtaining the typhoon path. By updating the typhoon path in real time, the actual movement of the typhoon can be more accurately reflected, and the subtle changes in the typhoon path can be better captured to achieve real-time monitoring, providing strong data support for the construction of the early warning platform, significantly improving the performance of the marine environmental disaster early warning platform, and contributing to reducing disaster losses and protecting people's lives and property. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 It is a flow chart of a method for constructing a port infrastructure marine environmental disaster early warning platform provided by an embodiment of the present invention;

[0050] Figure 2 It is a structural schematic diagram of a method for constructing a port infrastructure marine environmental disaster early warning platform provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0052] Figure 1 This is a flow chart of a method for constructing a port infrastructure marine environmental disaster early warning platform provided by an embodiment of the present invention. Figure 1 , specifically including:

[0053] Step 100, acquiring multi-source ocean environment data.

[0054] Multi-source ocean environmental data mainly include: sea surface temperature, sea surface height, sea surface wind speed, etc. obtained through satellite detection, wind speed, wind direction, air pressure, humidity, etc. recorded by land and sea meteorological stations, real-time data provided by buoys deployed in the ocean: salinity, ocean currents, etc., and ocean environmental data reported by the automatic ship identification system.

[0055] Step 200, fusing multi-source ocean environment data to obtain fused data.

[0056] The data from various sources in step 100 are fused through multi-source data assimilation technology to obtain fused data.

[0057] Multi-source data assimilation technology is a relatively mature fusion technology. Before data fusion, it is necessary to perform pre-processing operations such as cleaning, standardization, and filling missing values ​​on the data, and then perform time synchronization and spatial registration operations. Finally, the satellite detection data and ocean buoy data are fused through the Kalman filter. Based on the Bayesian theorem, the weather station data is fused with the propagation automatic identification system data, and the above four types of data are fused using the integrated learning method to obtain fused data.

[0058] Step 300, construct a forecast model based on the fused data, obtain forecast data, and predict the typhoon path based on the forecast data.

[0059] The forecast model is a model that can simulate the ocean dynamic environment such as waves and storm surges in typical port areas, and realize the full forecast of important typhoons and typhoon waves along the coast of China. The forecast model is preferably the WRF model, which is a mature technology that can nest grids of different resolutions to obtain time series data including variables such as wind speed, air pressure, and temperature.

[0060] Predicting the typhoon path based on forecast data includes the following steps:

[0061] Step 310, obtaining the current time point, current position, current speed of the typhoon, air density at the height of the typhoon and gravity acceleration based on the fused data.

[0062] Step 320, obtaining the pressure gradient force and the Coriolis force according to the forecast data.

[0063] First, the air pressure in the time series is combined into the air pressure field, and the pressure gradient force is obtained according to the gradient of the air pressure field:

[0064] ;

[0065] ;

[0066] represents the gradient, P represents the pressure field, (x, y) represents the location of the pressure field, and F grad Represents the pressure gradient force.

[0067] When predicting the typhoon path, the Coriolis force will cause the typhoon path to shift, and this shift needs to be taken into account in the forecast model to improve the accuracy of the forecast.

[0068] Coriolis force The Earth's rotation angular velocity vector and the current speed of the typhoon get:

[0069] ;

[0070] Step 330, constructing a motion equation based on the pressure gradient force, Coriolis force, air density, and gravitational acceleration to calculate the speed of the typhoon at the next time point;

[0071] The equation of motion is:

[0072] ;

[0073] In the formula, represents the rate of change of typhoon speed over time, represents the air density, represents the Coriolis force acceleration, g represents the acceleration due to gravity, Represents the pressure gradient force.

[0074] Step 340, calculating the adjacent values ​​between the current time point of the typhoon and the next time point according to the current time point of the typhoon, the current position, the current speed, the air density, and the gravity acceleration; the time step between the current time point of the typhoon and the next time point is h;

[0075] Adjacent values ​​refer to the status of the intermediate time points inserted between the current time point and the next time point. The purpose of this is to improve the accuracy of the calculation, especially when the time step is large, inserting the intermediate point can better capture the details of the changes in the typhoon path.

[0076] Specifically, calculating the adjacent values ​​between the current time point and the next time point of a typhoon refers to calculating the adjacent values ​​at the current time point and current position, the next time point and its corresponding position, and the time point and position at half the time step.

[0077] The calculation formula of the adjacent value is:

[0078] ;

[0079] ;

[0080] ;

[0081] In the formula, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the typhoon at the end of the full time step Time point and The velocity change of position, f represents the Coriolis force acceleration, h represents the time step, and g represents the gravitational acceleration.

[0082] Step 350, updating the position and speed between the current time point and the next time point of the typhoon occurrence according to the adjacent values ​​to obtain an updated position and an updated speed;

[0083] The calculation formulas for the update speed and update position are:

[0084] ;

[0085] ;

[0086] ;

[0087] In the formula, Represents the update speed, Represents the current position, Represents the current position speed, Represents the updated position, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the typhoon at the end of the full time step Time point and The velocity change of the position, X represents the component of the velocity change in the X direction, and Y represents the component of the velocity change in the Y direction. Represents the current position.

[0088] The updated position and updated speed calculated in this step refer to the position information and speed information corresponding to adjacent values. In this way, we can know the position information and speed information corresponding to the intermediate time point inserted between the current time point and the next time point of the typhoon, so as to describe the state changes of the typhoon in more detail, improve the accuracy of the forecast, and more accurately reflect the dynamic behavior of the typhoon between two time points.

[0089] Step 360, obtaining the typhoon path according to the current position of the typhoon and multiple updated positions.

[0090] At the complete time step, the current position and each updated position are connected to form the typhoon path.

[0091] Step 400, calculating the typhoon wave height according to the typhoon path.

[0092] The calculation of typhoon wave height includes the following steps:

[0093] Step 410, obtaining the speed of each location on the typhoon path;

[0094] Typhoon events with similar intensity or similar paths are selected from multi-source ocean environment data, and the average value of the maximum wind speed during the typhoon time is used as the maximum speed of this embodiment.

[0095] Step 411, obtain the maximum speed and obtain each position of the typhoon path and the current position of the typhoon, calculate the relative displacement of each position of the typhoon path and the current position of the typhoon, and obtain the distance at which the maximum speed occurs according to the maximum speed.

[0096] The distance at which the maximum speed occurs refers to the distance between the location of the maximum speed in the multi-source ocean environment data and the center of the typhoon, specifically refers to the typical distance at which the maximum speed occurs. By way of example, the average value of the distances at which the maximum speed occurs in the multi-source ocean environment data is taken as the typical distance.

[0097] Step 412, determining the wind speed diffusion coefficient according to the relative distance;

[0098] Setting a larger wind speed diffusion coefficient indicates that the wind speed distribution is wider, that is, the wind speed decays slowly as the distance increases. This means that at a relatively far relative distance, the wind speed remains at a relatively high level; setting a smaller wind speed diffusion coefficient indicates that the wind speed distribution is narrower, that is, the wind speed decays rapidly as the distance increases. This means that the wind speed decreases rapidly at a relatively far distance. This embodiment sets the wind speed diffusion coefficient based on the above principle and the size of the relative distance.

[0099] Step 413, calculating the speed of each position on the typhoon path according to the maximum speed, the distance at which the maximum speed occurs, the relative displacement, and the wind speed diffusion coefficient.

[0100] ;

[0101] represents the speed at a distance r from the center of the typhoon, represents the maximum speed, r 0 is the distance at which the maximum speed occurs, is the wind speed diffusion coefficient.

[0102] Step 420, obtaining the duration of the speed;

[0103] By analyzing the multi-source ocean environment data, it is found that when a typhoon occurs, the longest duration of the wind speed is used as the duration of this embodiment.

[0104] Step 430, obtaining the typhoon wave height according to the speed at each location and the duration of the speed.

[0105] ;

[0106] represents the typhoon wave height at the sth position, represents the speed at the sth position, T represents the duration, and a, b, c represent the empirical coefficients.

[0107] The empirical coefficient can be predicted by the model. Specifically, the historical wind speed, historical duration, and historical typhoon wave height are used as the model training set to initialize the empirical coefficient, define the loss function, and use the gradient descent method to minimize the loss function. When the gradient approaches zero or reaches the predetermined maximum number of iterations, the training is stopped to obtain the optimized empirical coefficient.

[0108] Step 500, obtaining an ocean dynamic environment status data set according to the typhoon wave height, and sending the ocean dynamic environment status data set to a cloud server for real-time monitoring and early warning of the ocean environment.

[0109] Through the above steps, this embodiment has obtained the typhoon wave height, speed, and duration, and integrated them into a complete ocean dynamic environment status data set, which is sent to the cloud server for real-time monitoring and early warning.

[0110] like Figure 2 As shown, this embodiment also provides a port infrastructure marine environmental disaster early warning platform construction system, including the following modules:

[0111] Multi-source ocean environment data acquisition module: used to acquire multi-source ocean environment data;

[0112] Fusion module: connected with the multi-source ocean environment data acquisition module, used to fuse the multi-source ocean environment data to obtain fused data;

[0113] Typhoon path prediction module: connected with the fusion module, used to build a forecast model based on the fusion data, obtain forecast data, and predict the typhoon path based on the forecast data;

[0114] Typhoon wave height calculation module: connected to the typhoon path prediction module, used to obtain the typhoon intensity according to the typhoon path, and calculate the typhoon wave height according to the typhoon path and typhoon intensity;

[0115] Real-time monitoring and early warning module: connected to the typhoon wave height calculation module, used to obtain the ocean dynamic environment status data set according to the typhoon wave height, and send the ocean dynamic environment status data set to the cloud server for real-time monitoring and early warning of the ocean environment.

[0116] This embodiment also provides an electronic device, including one or more processors and a memory.

[0117] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 500 to perform desired functions.

[0118] The memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may run the program instructions to implement a method for constructing a port infrastructure marine environmental disaster warning platform in any embodiment of the present application described above and / or other desired functions. Various contents such as initial external parameters, thresholds, etc. may also be stored in the computer-readable storage medium.

[0119] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown). The input device may include, for example, a keyboard, a mouse, etc. The output device may output various information to the outside, including early warning information, braking force, etc. The output device may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0120] In addition, the electronic device may further include any other appropriate components according to specific application scenarios.

[0121] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of a method for constructing a port infrastructure marine environmental disaster warning platform provided in any embodiment of the present application.

[0122] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0123] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of a method for constructing a port infrastructure marine environment disaster warning platform provided in any embodiment of the present application.

[0124] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0125] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0126] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an adjacent medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a port infrastructure marine environmental disaster early warning platform, characterized in that: include: Step 100, acquiring multi-source ocean environment data; Step 200, fusing multi-source ocean environment data to obtain fused data; Step 300, constructing a forecast model based on the fused data, acquiring forecast data, and predicting the typhoon path based on the forecast data; Predicting the typhoon path based on forecast data includes the following steps: Step 310, obtaining the current time point, current position, current speed of the typhoon, air density at the height of the typhoon, and gravity acceleration according to the fused data; Step 320, obtaining pressure gradient force and Coriolis force according to the forecast data; Step 330, constructing a motion equation based on the pressure gradient force, Coriolis force, air density, and gravitational acceleration to calculate the speed of the typhoon at the next time point; Step 340, calculating the adjacent values ​​between the current time point and the next time point of the typhoon according to the current time point, current position, current speed, air density, and gravity acceleration of the typhoon; the time step between the current time point and the next time point of the typhoon is h; Adjacent values ​​refer to the states of the intermediate time points inserted between the current time point and the next time point; Step 350, updating the position and speed between the current time point and the next time point of the typhoon occurrence according to the adjacent values ​​to obtain an updated position and an updated speed; Step 360, obtaining a typhoon path according to the location where the typhoon occurs and multiple updated locations; Step 400, calculating the typhoon wave height according to the typhoon path; Step 500, according to the typhoon wave height, obtain the ocean dynamic environment status data set, and send the ocean dynamic environment status data set to the cloud server for real-time monitoring and early warning of the ocean environment.

2. A method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 1, characterized in that: The equation of motion is: ； In the formula, represents the rate of change of typhoon speed over time, represents the air density, stands for Coriolis acceleration, g stands for gravitational acceleration, Represents the pressure gradient force.

3. The method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 1, characterized in that: Calculating the adjacent values ​​between the current time point and the next time point of a typhoon refers to calculating the adjacent values ​​at the current time point and current position, the next time point and its corresponding position, and the time point and position at half the time step.

4. A method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 2, characterized in that: The calculation formula of the adjacent value is: ； ； ； In the formula, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the value at the end of a full time step. Time point and The velocity change of position, f represents the Coriolis acceleration, h represents the time step, and g represents the gravitational acceleration.

5. The method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 1, characterized in that: The calculation formulas for the update speed and update position are: ； ； ； In the formula, Represents the update speed, Represents the current position, Represents the current position speed, Represents the updated position, Represents the typhoon at the current time point and current location The speed change, Represents the typhoon at half of the time step Time point and The velocity change of position, Represents the typhoon at the end of the full time step Time point and The velocity change of the position, X represents the component of the velocity change in the X direction, and Y represents the component of the velocity change in the Y direction.

6. The method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 1, characterized in that: The calculation of typhoon wave height includes the following steps: Step 410, obtaining the speed of each location on the typhoon path; Step 420, determining the duration of the speed according to the speed of step 410; Step 430, obtaining the typhoon wave height according to the speed at each location and the duration of the speed.

7. A method for constructing a port infrastructure marine environmental disaster early warning platform according to claim 6, characterized in that: Step 410, obtaining the speed of each position on the typhoon path, includes: Step 411, obtaining the maximum speed and obtaining each position of the typhoon path and the current position of the typhoon, calculating the relative displacement of each position of the typhoon path and the current position of the typhoon, and obtaining the distance at which the maximum speed occurs according to the maximum speed; Step 412, determining the wind speed diffusion coefficient according to the relative distance; Step 413, calculating the speed of each position on the typhoon path according to the maximum speed, the distance at which the maximum speed occurs, the relative displacement, and the wind speed diffusion coefficient.

8. A port infrastructure marine environment disaster early warning platform construction system, used to execute a port infrastructure marine environment disaster early warning platform construction method as described in any one of claims 1 to 7, characterized in that: Includes the following modules: Multi-source ocean environment data acquisition module: used to acquire multi-source ocean environment data; Fusion module: connected with the multi-source ocean environment data acquisition module, used to fuse the multi-source ocean environment data to obtain fused data; Typhoon path prediction module: connected with the fusion module, used to build a forecast model based on the fusion data, obtain forecast data, and predict the typhoon path based on the forecast data; Typhoon wave height calculation module: connected to the typhoon path prediction module, used to obtain the typhoon intensity according to the typhoon path, and calculate the typhoon wave height according to the typhoon path and typhoon intensity; Real-time monitoring and early warning module: connected to the typhoon wave height calculation module, used to obtain the ocean dynamic environment status data set according to the typhoon wave height, and send the ocean dynamic environment status data set to the cloud server for real-time monitoring and early warning of the ocean environment.

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