A typhoon arrival time prediction method, device and electronic equipment

Abstract

The present invention discloses a typhoon arrival time prediction method, device and electronic device, the method comprising: obtaining the real-time center position and wind circle radius information of the target typhoon; calculating the typhoon fullness of each wind circle of the target typhoon based on the wind circle radius information; and calculating the predicted time of each wind circle arriving at a wind farm by combining the typhoon fullness and the real-time center position of each wind circle. The technical solution provided by the present invention introduces the typhoon fullness characterizing the typhoon intensity into the distance / speed time algorithm, and calculates the predicted time of each wind circle arriving at a wind farm by combining the typhoon fullness and the real-time center position of each wind circle, which not only realizes the time prediction of each wind circle arriving at a wind farm respectively, but also improves the accuracy of the predicted time of each wind circle arriving at a wind farm.

Description

Technical Field

[0001] The present invention relates to the field of typhoon prediction, and in particular to a typhoon arrival time prediction method, device and electronic equipment. Background Art

[0002] Research and technology on typhoon statistics, forecasting and warning have made many important progress and applications at home and abroad, but no consideration has been given to how to make full use of the huge wind energy resources brought by typhoons, thereby improving the efficiency of offshore wind power generation, and how to minimize the impact time of typhoons on offshore wind power stations during transit and landing. For example: the wind speed range of the typhoon level 8 wind circle defined by my country's meteorological department has not yet reached the cut-out wind speed of the wind turbine, and the wind turbine can still maintain efficient power generation within its influence range, while the range of the level 10 wind circle has certain dangers and needs to be warned. During the offshore wind power generation process and the typhoon transit or landing process, if the typhoon wind speed impact range can be effectively predicted in the time period of the level 8-10 wind circle, it can be shut down in time before the arrival of the level 10 wind circle, and the power generation efficiency can be improved when the level 8 wind circle arrives, thereby generating considerable power generation benefits. The existing technology for predicting the arrival time of typhoons usually directly calculates the ratio of the center distance (the distance between the typhoon center and the wind farm) and the typhoon moving speed, and cannot accurately obtain the arrival time corresponding to different wind circles. Summary of the invention

[0003] In view of this, the embodiments of the present invention provide a typhoon arrival time prediction method, device and electronic device, thereby improving the accuracy of the predicted time for typhoon wind circles of various levels to arrive at a wind farm.

[0004] According to the first aspect, an embodiment of the present invention provides a typhoon arrival time prediction method, the method comprising: obtaining the real-time center position and wind circle radius information of the target typhoon; calculating the typhoon fullness of each wind circle of the target typhoon based on the wind circle radius information; and calculating the predicted time for each wind circle to arrive at the wind farm by combining the typhoon fullness of each wind circle and the real-time center position.

[0005] Optionally, before calculating the typhoon fullness of each level of wind circle of the target typhoon based on the wind circle radius information, the method also includes: drawing the best path of the target typhoon based on the real-time center position, and determining the influence range of the target typhoon through the best path and the wind circle radius information; judging whether the wind farm falls within the influence range, and if the wind farm falls within the influence range, executing the step of calculating the typhoon fullness of each level of wind circle of the target typhoon based on the wind circle radius information.

[0006] Optionally, the calculation of the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information includes: extracting the outer wind speed and the typhoon center wind speed of the current wind circle from the wind circle radius information; and calculating the typhoon fullness of the current wind circle based on the ratio of the outer wind speed of the current wind circle to the typhoon center wind speed.

[0007] Optionally, the predicted time for the wind circles at each level to reach the wind farm is calculated by combining the typhoon fullness of the wind circles at each level and the real-time center position, including: extracting the current wind circle radius of the current wind circle from the wind circle radius information; determining the moving distance based on the difference between the center distance and the current wind circle radius, the center distance being the distance between the typhoon center and the wind farm determined by the real-time center position; calculating the typhoon moving speed according to the real-time center position; and calculating the predicted time for the current wind circle to reach the wind farm by the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed.

[0008] Optionally, the predicted time for the current wind circle to reach the wind farm is calculated by using the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed, including: calculating the product of the typhoon fullness of the current wind circle and the typhoon moving speed to obtain an optimized moving speed; calculating the ratio of the moving distance and the optimized moving speed, and using the obtained ratio as the predicted time for the current wind circle to reach the wind farm.

[0009] Optionally, before calculating the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information, the method further includes: performing outlier analysis on the acquired real-time center position and the wind circle radius information to eliminate mutation data therein.

[0010] Optionally, the method also includes: displaying the predicted time for the current wind circles at each level to arrive at the wind farm, and returning to the step of obtaining the real-time center position and wind circle radius information of the target typhoon to perform the next round of prediction; when generating new predicted time for the wind circles at each level to arrive at the wind farm, using the new predicted time for the wind circles at each level to arrive at the wind farm to replace the current predicted time for the wind circles at each level to arrive at the wind farm.

[0011] According to the second aspect, an embodiment of the present invention provides a typhoon arrival time prediction device, which includes: a data acquisition module, used to obtain the real-time center position and wind circle radius information of the target typhoon; a fullness calculation module, used to calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information; a joint prediction module, used to calculate the predicted time of arrival of each level of wind circles at the wind farm by combining the typhoon fullness of each level of wind circles and the real-time center position.

[0012] According to the third aspect, an embodiment of the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method described in the first aspect or any optional implementation manner of the first aspect by executing the computer instructions.

[0013] According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method described in the first aspect or any optional implementation manner of the first aspect.

[0014] The technical solution provided by this application has the following advantages:

[0015] The technical solution provided by the present application first obtains the real-time center position and wind circle radius information of the target typhoon, and then calculates the typhoon fullness of each wind circle of the target typhoon based on the radii of each wind circle at each level in the wind circle radius information or the wind speed corresponding to the radii of each wind circle at each level; finally, the typhoon fullness that characterizes the typhoon intensity is introduced into the distance / speed time algorithm, and the typhoon fullness and real-time center position of each wind circle are combined to calculate the predicted time for each wind circle to arrive at the wind farm, which not only realizes the time prediction for each wind circle to arrive at the wind farm, but also improves the accuracy of the predicted time for each wind circle to arrive at the wind farm.

[0016] In addition, when calculating the typhoon fullness of each level of wind circle, the embodiment of the present invention is based on the ratio of the wind speed corresponding to each level of wind circle to the wind speed at the center of the typhoon, thereby improving the accuracy of the typhoon fullness. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the present invention in any way. In the accompanying drawings:

[0018] Figure 1 A schematic diagram showing the steps of a method for predicting typhoon arrival time in one embodiment of the present invention is shown;

[0019] Figure 2 A schematic diagram showing a typhoon moving path in one embodiment of the present invention is shown;

[0020] Figure 3 A schematic structural diagram of a typhoon arrival time prediction device in one embodiment of the present invention is shown;

[0021] Figure 4 A schematic structural diagram of an electronic device in one embodiment of the present invention is shown. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 and Figure 2 In one embodiment, a typhoon arrival time prediction method comprises the following steps:

[0024] Step S101: Obtain the real-time center position and wind circle radius information of the target typhoon.

[0025] Step S102: Calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information.

[0026] Step S103: Calculate the predicted time for each level of wind circle to reach the wind farm by combining the typhoon fullness and real-time center position of each level of wind circle.

[0027] Specifically, a typhoon arrival time prediction method for an offshore wind farm proposed in an embodiment of the present invention is based on a full study and analysis of the climate characteristics of typhoons landing on the coast of my country, and is aimed at the power generation efficiency and operation and maintenance of offshore wind farms. It not only considers the impact of wind disasters before the typhoon passes or lands, but also fully considers the considerable potential wind energy resources brought by the typhoon, and the impact of factors such as the spatial distribution of the typhoon's speed, intensity and wind circle radius on the typhoon warning. First, the center position of the wind farm is clarified, including the central longitude and latitude of the wind farm. Then, the real-time center position and wind circle radius information of the target typhoon are obtained. The real-time center position and wind circle radius information of the target typhoon can be downloaded from a public website. The real-time center position specifically includes the real-time center longitude and latitude of the typhoon, and the wind circle radius information specifically includes the radius size of each level of wind circle and the wind speed value corresponding to each level of wind circle. Taking the 8-level wind circle, the 10-level wind circle and the 12-level wind circle as examples, the radius of the 8-level wind circle is R8 with a wind speed of 17m / s, the radius of the 10-level wind circle is R10 with a wind speed of 25m / s, and the radius of the 12-level wind circle is R12 with a wind speed of 32m / s. Typhoon fullness is an indicator proposed in 2018 for characterizing the intensity of a typhoon. The concept of typhoon fullness is defined as "the width of the ring formed between the outer wind circle and the inner core, and the proportion of the outer wind circle". The larger this proportion, the stronger the typhoon. Based on this, the embodiment of the present invention calculates the typhoon fullness of wind circles at all levels through the acquired wind circle radius information, and introduces the typhoon fullness of wind circles at all levels into the time prediction algorithm. When the typhoon intensity is greater and the scale is larger, the disaster impact of the typhoon may also be greater, which has a certain impact on the moving speed of the typhoon (the moving speed of the typhoon refers to the theoretical average speed of the typhoon from one location to another). The stronger the typhoon, the shorter the remaining warning time. The typhoon richness is used to optimize the time prediction algorithm, and then the predicted time for wind circles at all levels to reach the wind farm is calculated, which improves the accuracy of the predicted time for wind circles at all levels to reach the wind farm.

[0028] Specifically, in one embodiment, before the above step S102, the following steps are also included:

[0029] Step 1: Draw the optimal path of the target typhoon based on the real-time center position, and determine the impact range of the target typhoon through the optimal path and wind circle radius information.

[0030] Step 2: Determine whether the wind farm falls within the influence range. If the wind farm falls within the influence range, calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information.

[0031] Specifically, before making a time prediction, the movement trend of the typhoon is obtained based on the real-time center position of the target typhoon, so as to draw the best path for the target typhoon. Then, the radius information of the wind circle is combined on the best path to determine the total impact range that the path can expand to. It is determined whether the longitude and latitude coordinates of the wind farm fall within the impact range. If it falls within the impact range, the arrival time of each level of wind circle is predicted, otherwise no prediction is made to improve the efficiency of the time prediction algorithm.

[0032] Specifically, in one embodiment, the above step S102 specifically includes the following steps:

[0033] Step 3: Extract the outer wind speed of the current wind circle and the typhoon center wind speed from the wind circle radius information.

[0034] Step 4: Calculate the typhoon fullness of the current wind circle based on the ratio of the outer wind speed of the current wind circle to the wind speed at the center of the typhoon.

[0035] Specifically, the concept of each level of wind circle is actually defined by the peripheral wind speed of each level of wind circle. For example, the wind speed of a level 8 wind circle is 34 km / h. No matter how the radius length changes, the position that meets the wind speed condition can be regarded as a level 8 wind circle. Therefore, in this embodiment, the range of the wind circle is characterized by the peripheral wind speed corresponding to each wind circle, and the typhoon fullness of each level of wind circle is calculated based on the ratio of the wind speed of the wind circle and the wind speed of the typhoon center, instead of directly using the radius length to calculate the range of the wind circle, so it is more in line with the definition and more accurate than the calculation method using the radius length.

[0036] In this embodiment, the expression for calculating the typhoon richness is as follows:

[0037]

[0038] In the formula, 1, 0.65 and -1.16 have no clear physical meanings. The above parameters are determined by statistical analysis of linear fitting of all typhoons in history. R is a constant, i.e. the peripheral wind speed of each level of wind circle; V max is the typhoon intensity, which is the maximum wind speed in the typhoon center.

[0039] Specifically, in one embodiment, the above step S103 specifically includes the following steps:

[0040] Step 5: Extract the current wind circle radius of the current wind circle from the wind circle radius information.

[0041] Step 6: Determine the moving distance based on the difference between the center distance and the current wind circle radius. The center distance is the distance between the typhoon center and the wind farm determined by the real-time center position.

[0042] Step 7: Calculate the typhoon moving speed based on the real-time center position.

[0043] Step 8: Calculate the predicted time for the current wind circle to reach the wind farm based on the moving distance, the typhoon richness of the current wind circle and the typhoon moving speed.

[0044] Specifically, in this embodiment, before calculating the predicted time for the wind circles at various levels to arrive at the wind farm, the distance between the edge of the wind circles at various levels and the wind farm position is first determined, that is, the moving distance that the wind circles at various levels need to move is determined. This embodiment extracts the specific values ​​of the radii of the wind circles at various levels from the wind circle radius information, such as R8, R10, and R12, and then calculates the difference between the center distance (center distance = the distance between the wind farm coordinates and the typhoon center coordinates) and the radii of the wind circles at various levels, and thus obtains the distance between the edge of the wind circles at various levels and the wind farm position. Then, based on the downloaded multiple real-time center positions and the time interval between the implementation center positions, the average speed of the typhoon movement can be calculated as the moving speed of the typhoon movement. Finally, the typhoon mobility is optimized using the typhoon fullness, and then a more accurate predicted time for the wind circles at various levels to arrive at the wind farm is calculated based on the algorithm of "distance / optimized speed = time".

[0045] Specifically, in this embodiment, the method for optimizing the typhoon moving speed by the typhoon fullness of each wind circle is to directly calculate the product of the typhoon fullness of each wind circle and the typhoon moving speed. Based on this, the formula for calculating the predicted time of each wind circle reaching the wind farm is as follows:

[0046]

[0047] Where, T is the warning time (h); D is the center distance calculated in real time (km); R is the radius of the wind circle; V R is a constant, the wind speed outside the wind circle; V max is the typhoon intensity, that is, the maximum wind speed in the typhoon center (km / h); Vs is the typhoon moving speed.

[0048] Based on the above steps 5 to 8, the typhoon movement speed, the maximum wind speed in the center and the distance to a single offshore wind power station are organically combined, and the distances calculated from wind circles of different wind force levels to a single offshore wind power station are also different accordingly. The smaller the distance, the greater the impact of the typhoon on the wind power station. The faster the typhoon moves, the shorter the warning time affected by the radius range of wind circles at all levels. Finally, the calculation of the warning time also incorporates the power function relationship between the typhoon's fullness and intensity, in order to reflect the connection between typhoons of different intensities and their own scales, thereby optimizing the movement speed of the typhoon.

[0049] Specifically, in one embodiment, before the above step S102, the following steps are also included:

[0050] Step 9: Perform outlier analysis on the acquired real-time center position and wind circle radius information to eliminate the sudden change data.

[0051] Specifically, in this embodiment, outlier analysis is also performed on the data in the downloaded real-time center position and wind circle radius information, and according to the trend of the data, data with larger mutations in adjacent data are found. For example, the difference between a certain data and adjacent data exceeds a preset threshold, and the mutation data is then eliminated to further improve the accuracy of subsequent typhoon arrival time predictions.

[0052] Specifically, in one embodiment, a typhoon arrival time prediction method provided by an embodiment of the present invention further includes the following steps:

[0053] Step 10: Display the predicted time for the current wind circles of each level to reach the wind farm, and return to the step of obtaining the real-time center position and wind circle radius information of the target typhoon for the next round of prediction.

[0054] Step 11: When a new predicted time for each level of wind circle to arrive at the wind farm is generated, the new predicted time for each level of wind circle to arrive at the wind farm is used to replace the current predicted time for each level of wind circle to arrive at the wind farm.

[0055] Specifically, in this embodiment, after calculating the predicted time for the current wind circles at all levels to arrive at the wind farm, the current electronic device immediately enters the next round of prediction. To avoid changes in the predicted time due to the uncertainty of the typhoon, the arrival time of the typhoon wind circles at all levels is corrected in real time, and the corrected value is sent to the display platform for display. On the one hand, meteorological personnel can obtain the forecast data in a timely manner, and on the other hand, the control system of the wind farm can adjust the control strategy of the wind farm shutdown in time according to the latest forecast time, realize accurate shutdown and accurate startup, and achieve the maximum efficiency of wind energy generation under the premise of ensuring safety.

[0056] Through the above steps, the technical solution provided by the present application first obtains the real-time center position and wind circle radius information of the target typhoon, and then calculates the typhoon fullness of each wind circle of the target typhoon based on the radii of each wind circle at each level in the wind circle radius information or the wind speed corresponding to the radii of each wind circle at each level; finally, the typhoon fullness that characterizes the typhoon intensity is introduced into the distance / speed time algorithm, and the typhoon fullness and real-time center position of each wind circle are combined to calculate the predicted time for each wind circle to arrive at the wind farm, which not only realizes the time prediction of each wind circle arriving at the wind farm, but also improves the accuracy of the predicted time for each wind circle to arrive at the wind farm. In addition, when calculating the typhoon fullness of each wind circle, the embodiment of the present invention is based on the ratio of the wind speed corresponding to each wind circle and the wind speed at the center of the typhoon, thereby improving the accuracy of the typhoon fullness.

[0057] like Figure 3As shown, this embodiment also provides a typhoon arrival time prediction device, the device comprising:

[0058] The data acquisition module 101 is used to acquire the real-time center position and wind circle radius information of the target typhoon. For details, please refer to the relevant description of step S101 in the above method embodiment, which will not be repeated here.

[0059] The fullness calculation module 102 is used to calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information. For details, please refer to the relevant description of step S102 in the above method embodiment, which will not be repeated here.

[0060] The joint prediction module 103 is used to calculate the predicted time of wind circles at all levels arriving at the wind farm by combining the typhoon fullness and real-time center position of wind circles at all levels. For details, please refer to the relevant description of step S103 in the above method embodiment, which will not be repeated here.

[0061] The typhoon arrival time prediction device provided in the embodiment of the present invention is used to execute the typhoon arrival time prediction method provided in the above embodiment. Its implementation method and principle are the same. For details, please refer to the relevant description of the above method embodiment and will not be repeated here.

[0062] Through the collaborative cooperation of the above-mentioned components, the technical solution provided by the present application first obtains the real-time center position and wind circle radius information of the target typhoon, and then calculates the typhoon fullness of each wind circle of the target typhoon based on the wind circle radius of each level or the wind speed corresponding to the wind circle radius of each level in the wind circle radius information; finally, the typhoon fullness that characterizes the typhoon intensity is introduced into the distance / speed time algorithm, and the typhoon fullness and real-time center position of each wind circle are combined to calculate the predicted time for each wind circle to arrive at the wind farm, which not only realizes the time prediction of each wind circle arriving at the wind farm, but also improves the accuracy of the predicted time for each wind circle to arrive at the wind farm. In addition, when calculating the typhoon fullness of each wind circle, the embodiment of the present invention is based on the ratio of the wind speed corresponding to each wind circle and the wind speed at the center of the typhoon, thereby improving the accuracy of the typhoon fullness.

[0063] Figure 4 An electronic device according to an embodiment of the present invention is shown, the device includes a processor 901 and a memory 902, which can be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0064] The processor 901 may be a central processing unit (CPU). The processor 901 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0065] The memory 902 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the methods in the above method embodiments. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 902, that is, implementing the methods in the above method embodiments.

[0066] The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor 901, etc. In addition, the memory 902 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 902 may optionally include a memory remotely arranged relative to the processor 901, and these remote memories may be connected to the processor 901 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0067] One or more modules are stored in the memory 902 , and when executed by the processor 901 , the method in the above method embodiment is executed.

[0068] The specific details of the above electronic device can be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and will not be repeated here.

[0069] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the implemented program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0070] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A typhoon arrival time prediction method, characterized in that: The method comprises: Obtain the real-time center position and wind circle radius information of the target typhoon; Calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information; Calculate the predicted time for each level of wind circle to reach the wind farm by combining the typhoon fullness of each level of wind circle and the real-time center position; The method of calculating the predicted time for each level of wind circle to reach the wind farm by combining the typhoon fullness of each level of wind circle and the real-time center position includes: extracting the current wind circle radius of the current wind circle from the wind circle radius information; determining the moving distance based on the difference between the center distance and the current wind circle radius, wherein the center distance is the distance between the typhoon center and the wind farm determined by the real-time center position; calculating the typhoon moving speed according to the real-time center position; calculating the predicted time for the current wind circle to reach the wind farm by the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed; the method of calculating the predicted time for the current wind circle to reach the wind farm by the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed includes: calculating the product of the typhoon fullness of the current wind circle and the typhoon moving speed to obtain the optimized moving speed; calculating the ratio of the moving distance to the optimized moving speed, and using the obtained ratio as the predicted time for the current wind circle to reach the wind farm.

2. The method according to claim 1, characterized in that: Before calculating the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information, the method further includes: Draw the best path of the target typhoon based on the real-time center position, and determine the influence range of the target typhoon through the best path and the wind circle radius information; It is determined whether the wind farm falls within the influence range. If the wind farm falls within the influence range, the step of calculating the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information is performed.

3. The method according to claim 1, characterized in that The calculating the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information includes: Extracting the peripheral wind speed of the current wind circle and the typhoon center wind speed from the wind circle radius information; The typhoon fullness of the current wind circle is calculated based on the ratio of the outer wind speed of the current wind circle to the typhoon center wind speed.

4. The method according to claim 1, characterized in that: Before calculating the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information, the method further includes: An outlier analysis is performed on the acquired real-time center position and wind circle radius information to eliminate sudden change data.

5. The method according to claim 1, characterized in that The method further comprises: Display the predicted time for the current wind circles of each level to reach the wind farm, and return to the step of obtaining the real-time center position and wind circle radius information of the target typhoon to perform the next round of prediction; When a new predicted time for each level of wind circles to arrive at the wind farm is generated, the new predicted time for each level of wind circles to arrive at the wind farm is used to replace the current predicted time for each level of wind circles to arrive at the wind farm.

6. A typhoon arrival time prediction device, characterized in that: The device comprises: A data acquisition module is used to obtain the real-time center position and wind circle radius information of the target typhoon; A fullness calculation module, used to calculate the typhoon fullness of each level of wind circles of the target typhoon based on the wind circle radius information; A joint prediction module, used for calculating the predicted time of each wind circle arriving at the wind farm by combining the typhoon fullness of each wind circle and the real-time center position; the calculation of the predicted time of each wind circle arriving at the wind farm by combining the typhoon fullness of each wind circle and the real-time center position comprises: extracting the current wind circle radius of the current wind circle from the wind circle radius information; determining the moving distance based on the difference between the center distance and the current wind circle radius, the center distance being the distance between the typhoon center and the wind farm determined by the real-time center position; and determining the moving distance based on the difference between the center distance and the current wind circle radius. Calculate the moving speed of the typhoon; calculate the predicted time for the current wind circle to reach the wind farm through the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed; the calculation of the predicted time for the current wind circle to reach the wind farm through the moving distance, the typhoon fullness of the current wind circle and the typhoon moving speed includes: calculating the product of the typhoon fullness of the current wind circle and the typhoon moving speed to obtain an optimized moving speed; calculating the ratio of the moving distance and the optimized moving speed, and using the obtained ratio as the predicted time for the current wind circle to reach the wind farm.

7. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 5 by executing the computer instructions.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 5.

Images