A modeling method, system and electronic device for a wind farm of a radar system

Abstract

This application proposes a modeling method, system, and electronic equipment for wind farms in radar systems. The method includes obtaining wind turbine coordinates, wind turbine dimensions, wind direction, and radar system coordinates; based on the wind turbine coordinates and dimensions, performing initial state modeling for each radiating structure of the wind turbine to obtain an initial state model; setting a roll angle, and optimizing the initial state model of the blades based on the roll angle to obtain a corresponding rotation model; obtaining a yaw angle based on the wind turbine coordinates, wind direction, and radar system coordinates, and optimizing the rotation model of the blades based on the yaw angle to obtain a corresponding target model; obtaining a wind turbine model based on the target model of the blades, the tower, and the initial state model of the nacelle, and thus obtaining a wind farm model, to accurately model the exterior of the wind turbine in the wind farm relative to the radar system.

Description

Technical Field

[0001] This application relates to the field of wind farm modeling technology, and in particular to a wind farm modeling method, system and electronic equipment for radar systems. Background Technology

[0002] In current research, modeling of wind turbines and wind farms is mostly accomplished using relevant software toolkits. The most commonly used tool is the SimWindFarm toolkit, which aims to provide a rapid modeling tool for wind turbines and wake simulation. This toolkit focuses on modeling the internal parameters and structure of wind farms and can be used for wind farm layout design, wake animation, fatigue analysis, turbine power curve simulation, grid operation, and other functions. By using SimWindFarm, researchers can better understand the operation of wind farms, thereby improving power generation efficiency and reducing costs. However, the SimWindFarm toolkit has complex parameter settings, and the ultimate load is hard-coded, requiring a high level of professional knowledge and experience from users.

[0003] Wind energy, as a renewable and clean energy source, has seen rapid market growth alongside global economic development, with domestic wind farm construction reaching a fever pitch. However, the advancement and rapid development of wind power generation can interfere with nearby radar and communication systems, particularly air defense radar and air traffic control. These adverse effects are caused by the massive scale of wind farms and the rotation of their blades, which can obscure targets of radar interest to a certain extent.

[0004] Since radar detects targets by utilizing the scattering of electromagnetic waves, thus determining their spatial location, investigations into the impact of wind farms on radar system performance focus primarily on modeling the external structure of wind turbines, neglecting the setting of their internal parameters. Therefore, to more accurately determine the impact of wind farms on radar system performance, it is necessary to determine the relative position of the wind turbine's radiating structure to the radar system. This necessitates modeling the external structure of the wind turbine within the wind farm relative to the radar system, and accurate modeling is crucial. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a modeling method for wind farms in radar systems, so as to accurately model the exterior of wind turbines in wind farms relative to radar systems.

[0007] The second objective of this application is to propose a modeling system for wind farms used in radar systems.

[0008] The third objective of this application is to propose an electronic device.

[0009] The fourth objective of this application is to provide a computer-readable storage medium.

[0010] To achieve the above objectives, the first aspect of this application proposes a modeling method for wind farms used in radar systems. The wind farm includes multiple wind turbines, and each wind turbine includes three types of radiating structures: tower, blades, and nacelle. The modeling method includes the following steps:

[0011] Obtain the coordinates of the wind turbine, the size of the wind turbine, the wind direction, and the coordinates of the radar system;

[0012] Based on the wind turbine coordinates and dimensions, an initial state model is obtained by modeling the initial state of each radial structure of the wind turbine.

[0013] Set the roll angle, and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model;

[0014] The yaw angle is obtained based on the wind turbine coordinates, the wind direction, and the radar system coordinates. The rotation model of the blade is optimized based on the yaw angle to obtain the corresponding target model.

[0015] Based on the target model of the blades and the initial state models of the tower and nacelle, a wind turbine model is obtained, and then a wind farm model is obtained.

[0016] In the method of the first aspect of this application, the initial state modeling of each radial structure of the wind turbine to obtain an initial state model includes: dividing each radial structure of the wind turbine into corresponding multiple elements; and performing initial state modeling of each element of each radial structure based on the wind turbine coordinates and wind turbine dimensions to obtain an initial state model of the corresponding radial structure.

[0017] In the method of the first aspect of this application, the division is performed by dividing the material equally using a segmentation method.

[0018] In the method of the first aspect of this application, the initial state model of the blade is obtained by initial state modeling, including: setting an inclination angle, wherein the inclination angle is the angle between the blade and the vertical direction; and initial state modeling of the blade is obtained based on the inclination angle, the wind turbine coordinates and the wind turbine dimensions.

[0019] In the method of the first aspect of this application, obtaining the yaw angle based on the wind turbine coordinates, the wind direction, and the radar system coordinates includes: obtaining a vector pointing from the wind turbine to the radar based on the wind turbine coordinates and the radar system coordinates; obtaining a wind vector based on the wind direction; and obtaining the yaw angle based on the vector pointing from the wind turbine to the radar and the wind vector.

[0020] In the method of the first aspect of this application, the step of optimizing the rotation model of the blade based on the yaw angle to obtain the corresponding target model includes: determining the yaw rotation transformation matrix based on the yaw angle; and obtaining the target model of the blade based on the yaw rotation transformation matrix and the rotation model.

[0021] The method in the first aspect of this application further includes: optimizing the initial state model of the nacelle based on the yaw angle to obtain a target model of the nacelle; and obtaining a wind turbine model based on the target model of the blade, the initial state model of the tower, and the target model of the nacelle.

[0022] To achieve the above objectives, a second aspect of this application proposes a modeling system for wind farms used in radar systems. The wind farm includes multiple wind turbines, each wind turbine comprising three radiating structures: a tower, blades, and a nacelle. The modeling system includes:

[0023] The acquisition module is used to acquire wind turbine coordinates, wind turbine dimensions, wind direction, and radar system coordinates.

[0024] The modeling module is used to perform initial state modeling for each radial structure of the wind turbine based on the wind turbine coordinates and wind turbine dimensions to obtain an initial state model.

[0025] The first model optimization module is used to set the roll angle and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model.

[0026] The second model optimization module is used to obtain the yaw angle based on the wind turbine coordinates, the wind direction and the radar system coordinates, and optimize the blade rotation model based on the yaw angle to obtain the corresponding target model.

[0027] The wind farm model determination module is used to obtain a wind turbine model based on the target model of the blades and the initial state models of the tower and nacelle, and then obtain a wind farm model.

[0028] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method proposed in the first aspect of this application.

[0029] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, are used to implement the method proposed in the first aspect of this application.

[0030] This application provides a modeling method, system, electronic equipment, and storage medium for wind farms used in radar systems. Combining wind turbine coordinates, wind turbine dimensions, wind direction, and radar system coordinates, it performs initial state modeling for the three radiating structures of the wind turbine: tower, blades, and nacelle. The initial state model of the blades is then optimized using roll and yaw angles to obtain the corresponding target model, ultimately yielding both a wind turbine model and a wind farm model. This simplifies the modeling process while accurately obtaining the position of each radiating structure relative to the radar system, achieving accurate external modeling of the wind turbine within the wind farm. This improves the accuracy of subsequent analyses of the wind farm's impact on the radar system's ability to detect target objects.

[0031] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0032] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0033] Figure 1 A flowchart illustrating a method for modeling wind farms for radar systems, provided in an embodiment of this application;

[0034] Figure 2 A schematic diagram illustrating the tilt angle, roll angle, and yaw angle provided in the embodiments of this application;

[0035] Figure 3 This is a schematic diagram of the initial state model of the wind turbine provided in the embodiments of this application;

[0036] Figure 4 This is a schematic diagram illustrating the relationship between wind direction and yaw angle provided in an embodiment of this application.

[0037] Figure 5 This is a coordinate transformation diagram of the rotation matrix provided in the embodiments of this application;

[0038] Figure 6 A schematic diagram of a target model of a rotating wind turbine provided in an embodiment of this application;

[0039] Figure 7A side view of a 5×5 wind farm model provided in an embodiment of this application;

[0040] Figure 8 A top view of a 5×5 wind farm model provided in an embodiment of this application;

[0041] Figure 9 This is a block diagram of a wind farm modeling system for a radar system provided in an embodiment of this application. Detailed Implementation

[0042] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0043] The following describes a method and system for modeling wind farms for radar systems according to embodiments of this application, with reference to the accompanying drawings.

[0044] This application provides a method for modeling wind farms for radar systems, to accurately model the exterior of wind turbines in the wind farm relative to the radar system.

[0045] In this application, the wind farm includes multiple wind turbines, and each wind turbine includes three types of radial structures: tower, blades, and nacelle.

[0046] Figure 1 This is a flowchart illustrating a method for modeling wind farms for radar systems, provided in an embodiment of this application.

[0047] like Figure 1 As shown, the method for modeling wind farms for radar systems includes the following steps:

[0048] Step S101: Obtain the coordinates of the wind turbine, the size of the wind turbine, the wind direction, and the coordinates of the radar system.

[0049] In step S101, the wind turbine coordinates can be represented by the tower coordinates.

[0050] In step S101, the dimensions of a wind turbine generally include the nacelle length, tower height, and blade length.

[0051] In step S101, the radar coordinates can be represented as (Rx, Ry, Rz).

[0052] Step S102: Based on the wind turbine coordinates and dimensions, initial state modeling is performed on each of the wind turbine's radial structures to obtain the initial state model.

[0053] In step S102, since a wind turbine includes three types of radial structures: tower, blades, and nacelle, initial state modeling of the tower, blades, and nacelle of the wind turbine can yield the corresponding initial state model.

[0054] Considering the actual wind load and blade bending, and to ensure sufficient space between the blade and the tower during rotation to prevent collisions, a tilt angle is added when modeling the blade. Therefore, initial state modeling of the blade is performed, including: setting the tilt angle, which is the angle between the blade and the vertical direction; and based on the tilt angle, wind turbine coordinates, and wind turbine dimensions, initial state modeling of the blade is obtained. The tilt angle can be set according to actual requirements.

[0055] Figure 2 This is a schematic diagram illustrating the tilt angle, roll angle, and yaw angle provided in an embodiment of this application. The tower is aligned with the z-axis of the xyz coordinate system. Figure 2 The left image is a 3D schematic diagram of the bank angle, roll angle, and yaw angle. Figure 2 The right figure is a planar diagram showing the tilt angle along the y-axis. For example... Figure 2 As shown, when a blade rotates to the xz plane, the angle between that blade and the vertical direction is the tilt angle. The yaw angle changes when the blade rotates around the z-axis, and the roll angle changes when the blade rotates around the x-axis.

[0056] In step S102, in order to more accurately determine the relative position of the wind turbine's radiating structure to the radar system and to model it more accurately, this application performs initial state modeling for each radiating structure of the wind turbine to obtain an initial state model, including: dividing each radiating structure of the wind turbine into multiple corresponding elements; and performing initial state modeling for each element of each radiating structure based on the wind turbine coordinates and the wind turbine size to obtain an initial state model of the corresponding radiating structure.

[0057] In step S102, the division is performed by equal partitioning. Based on the size of the wind turbine, the number of components in each radiating structure can be determined after equal partitioning.

[0058] In step S102, when performing initial state modeling, the projection of the position coordinates of each component in three-dimensional space onto the x-axis, y-axis, and x-axis is determined based on the wind turbine coordinates and wind turbine dimensions, so as to model the corresponding radial structure.

[0059] In step S102, each element is considered as a target point for the radar.

[0060] The initial state of the wind turbine is defined as the state when one blade of the wind turbine is placed in the xz plane. Figure 3 This is a schematic diagram of the initial state model of the wind turbine provided in an embodiment of this application. Figure 3 The figure shown is the initial state model diagram of the wind turbine obtained after initial state modeling of each radial structure of the wind turbine.

[0061] Step S103: Set the roll angle and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model.

[0062] In step S103, considering that the rotation of the wind turbine blades is related to the roll angle, this step introduces the roll angle into the initial state model of the blades to realize the rotation of the wind turbine. The position change of each target point in the three-dimensional coordinate system is derived from trigonometric functions, thus enabling more accurate modeling of the blades.

[0063] The roll angle rotation will keep the coordinates of a point on the x-axis unchanged, while the projections on the y- and z-axis will change. This is because each blade replaces the position of the previous blade after rotating 120° (see...). Figure 2 Therefore, in the modeling, it is assumed that the rotation range of each blade is 0 to 120°. After the blade rotates around the rotation axis by a certain angle, the coordinates of each target point (i.e., each component) constituting the blade in three-dimensional space can be expressed by the following formula:

[0064] The k-th target point B1 of blade 1, k The coordinates in three-dimensional space satisfy:

[0065]

[0066] The kth target point B of blade 2 2, Coordinates in three-dimensional space satisfy:

[0067]

[0068] The kth target point B of blade 3 3, The coordinates in three-dimensional space satisfy:

[0069]

[0070] In the formula, L is the nacelle length, H is the tower height, k represents the kth target point on each blade, tilt is the blade tilt angle, and roll is the roll angle.

[0071] In step S103, the rotation model of the blade is obtained based on the coordinates of each target point of the three blades in three-dimensional space.

[0072] Step S104: Obtain the yaw angle based on the wind turbine coordinates, wind direction and radar system coordinates, and optimize the blade rotation model based on the yaw angle to obtain the corresponding target model.

[0073] In step S104, it is also considered that the rotation of the wind turbine blades is related to the yaw angle. Therefore, this step introduces the yaw angle into the blade rotation model for modeling, in order to further realize the rotation of the wind turbine.

[0074] In step S104, considering that the wind turbine will face the wind direction, the yaw angle of the wind turbine rotation is related to the wind direction. Furthermore, the coordinates of points on the z-axis remain unchanged during yaw rotation; therefore, the yaw angle analysis in this step can be performed on the xy plane. Figure 4 This is a schematic diagram illustrating the relationship between wind direction and yaw angle provided in an embodiment of this application, as shown below. Figure 4 As shown, the radar is located at the origin of the xy plane, with the y-axis pointing due north. This represents the vector pointing from the wind turbine to the radar. Represents wind vector, and The angle between the two points is the yaw angle, and the wind direction is the angle between the wind direction and due north.

[0075] Specifically, in step S104, the yaw angle is obtained based on the wind turbine coordinates, wind direction, and radar system coordinates, including: obtaining the vector pointing from the wind turbine to the radar based on the wind turbine coordinates and radar system coordinates; obtaining the wind vector based on the wind direction; and obtaining the yaw angle based on the vector pointing from the wind turbine to the radar and the wind vector.

[0076] The yaw angle satisfies:

[0077]

[0078] In the formula, Represents wind vector, This represents the vector pointing from the wind turbine to the radar. The value of the wind vector. Let be the value of the vector pointing from the wind turbine to the radar, and let the radar's coordinates in the xy plane be (R). x ,R y The coordinates of the wind turbine are (W... x W y Then we have:

[0079]

[0080]

[0081] Wherein, wind direction is the angle between the wind direction and due north.

[0082] In step S104, the rotation model of the blade is optimized based on the yaw angle to obtain the corresponding target model, including: determining the yaw rotation transformation matrix based on the yaw angle; and obtaining the target model of the blade based on the yaw rotation transformation matrix and the rotation model.

[0083] Specifically, the rotation of the yaw angle is achieved using the Euler angle rotation matrix formula. Figure 5 This is a coordinate transformation diagram of the rotation matrix provided in an embodiment of this application. Figure 5 As shown, point B represents any component of the wind turbine. Figure 5 This diagram describes the coordinate representation of component B in different coordinate systems. The black coordinate system in the diagram is called the M coordinate system, and the purple coordinate system is defined as the N coordinate system. The N coordinate system rotates about the z-axis in the M coordinate system with a specific yaw angle. Figure 5 The transformation of the coordinates of point B in the two coordinate systems can be represented in matrix form, as shown in the following equation:

[0084]

[0085] In the formula, This is the transformation matrix (yaw rotation transformation matrix) required to transform the coordinates of point B from the rotated coordinate system N to the original coordinate system M. Using this transformation matrix to transform the rotation model obtained in step S103 yields the target model of the blade. This target model is the wind turbine modeling result after the blade has undergone a certain roll angle and a certain yaw angle in the initial state model.

[0086] Taking a roll angle of 60° and a yaw angle of 120° as an example, Figure 6 This is a schematic diagram of a target model of a rotated wind turbine provided in an embodiment of this application. The modeling result of the wind turbine after a roll angle of 60° and a yaw angle of 120°, relative to the initial state, is as follows. Figure 6 As shown.

[0087] Step S105: Based on the target model of the blades, the initial state models of the tower and the nacelle, a wind turbine model is obtained, and then a wind farm model is obtained.

[0088] In step S105, the tower is not affected by any angle, so the initial state model of the tower is the final target model of the tower.

[0089] In step S105, the nacelle is affected by the yaw angle. If the effect is small, the initial state model of the nacelle is also the final target model of the nacelle. Then, the wind turbine model is obtained based on the target model of the blade, the tower and the initial state model of the nacelle.

[0090] In step S105, if the nacelle is greatly affected by the yaw angle, the method further includes: optimizing the initial state model of the nacelle based on the yaw angle to obtain the target model of the nacelle, and then obtaining the wind turbine model based on the target model of the blade, the initial state model of the tower, and the target model of the nacelle.

[0091] In step S105, the spacing between wind turbines in the wind farm and the coordinates of the geographical location of each wind turbine are obtained. Since each wind turbine in the wind farm rotates in the same way, the wind farm modeling can be achieved by simply translating the individual wind turbine models obtained in this application on the XY plane and moving them to the coordinates of the corresponding wind turbine.

[0092] Figure 7 A side view of a 5×5 wind farm model provided in an embodiment of this application; Figure 8 This is a top view of a 5×5 wind farm model provided in an embodiment of this application. Figure 7 and Figure 8 The images show a side view and a top view of a 5×5 wind farm model with a wind direction of 120°. Figure 7 and Figure 8 For illustrative purposes only, the number and location of wind turbines in a wind farm are not limited to this. Furthermore, the wind farm can be either an onshore or offshore wind farm.

[0093] To achieve the above embodiments, this application also proposes a modeling system for wind farms used in radar systems. The wind farm includes multiple wind turbines, and each wind turbine includes three types of radiating structures: tower, blades, and nacelle.

[0094] Figure 9 This is a block diagram of a wind farm modeling system for a radar system provided in an embodiment of this application.

[0095] like Figure 9 As shown, the wind farm modeling system for radar systems includes an acquisition module 11, a modeling module 12, a first model optimization module 13, a second model optimization module 14, and a wind farm model determination module 15, wherein:

[0096] Module 11 is used to acquire the coordinates of the wind turbine, the size of the wind turbine, the wind direction, and the coordinates of the radar system.

[0097] Modeling module 12 is used to perform initial state modeling for each radial structure of the wind turbine based on the wind turbine coordinates and wind turbine dimensions to obtain the initial state model.

[0098] The first model optimization module 13 is used to set the roll angle and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model.

[0099] The second model optimization module 14 is used to obtain the yaw angle based on the wind turbine coordinates, wind direction and radar system coordinates, and optimize the blade rotation model based on the yaw angle to obtain the corresponding target model.

[0100] The wind farm model determination module 15 is used to obtain a wind turbine model based on the target model of the blades, the initial state model of the tower and the nacelle, and then obtain a wind farm model.

[0101] Furthermore, in one possible implementation of this application embodiment, the modeling module 12 is specifically used for: dividing each radial structure of the wind turbine into corresponding multiple elements; and performing initial state modeling for each element of each radial structure based on the wind turbine coordinates and wind turbine dimensions to obtain the initial state model of the corresponding radial structure.

[0102] Furthermore, in one possible implementation of this application embodiment, the modeling module 12 performs equal division by a segmentation method when segmenting.

[0103] Furthermore, in one possible implementation of this application embodiment, the modeling module 12 is specifically used to: set an inclination angle, which is the angle between the blade and the vertical direction; and perform initial state modeling on the blade based on the inclination angle, wind turbine coordinates, and wind turbine dimensions to obtain an initial state model of the blade.

[0104] Furthermore, in one possible implementation of this application embodiment, the second model optimization module 14 is specifically used for: obtaining the vector pointing from the wind turbine to the radar based on the wind turbine coordinates and the radar system coordinates; obtaining the wind vector based on the wind direction; and obtaining the yaw angle based on the vector pointing from the wind turbine to the radar and the wind vector.

[0105] Furthermore, in one possible implementation of this application embodiment, the second model optimization module 14 is specifically used for: determining the yaw rotation transformation matrix based on the yaw angle; and obtaining the target model of the blade based on the yaw rotation transformation matrix and the rotation model.

[0106] Furthermore, in one possible implementation of this application embodiment, the second model optimization module 14 is further used to optimize the initial state model of the nacelle based on the yaw angle to obtain the target model of the nacelle; the wind farm model determination module 15 is further used to obtain the wind turbine model based on the target model of the blade, the initial state model of the tower and the target model of the nacelle.

[0107] It should be noted that the foregoing explanation of the wind farm modeling embodiment for radar systems also applies to the wind farm modeling system for radar systems in this embodiment, and will not be repeated here.

[0108] In this embodiment, by combining the wind turbine coordinates, wind turbine dimensions, wind direction, and radar system coordinates, an initial state model is obtained by modeling the three radial structures of the wind turbine: the tower, blades, and nacelle. The initial state model of the blades is then optimized using roll and yaw angles to obtain the corresponding target model, thereby yielding the wind turbine model and the wind farm model. This simplifies the modeling process while accurately obtaining the position of each radial structure relative to the radar system, achieving accurate modeling of the external structure of the wind turbine within the wind farm. This improves the accuracy of subsequent analyses of the wind farm's influence on the radar system's ability to detect target objects.

[0109] The specific technical effects of this application are as follows:

[0110] 1) Considering the complex shape of actual wind turbines and the difficulty in accurately calculating their electromagnetic scattering, this invention simplifies the modeling of wind turbines to save on model building costs and time. The simplified wind turbine model is obtained by combining the segmentation method, trigonometric relationships, and Euler rotation matrices. Furthermore, by defining the rotation angle, a research model of the wind turbine under specific conditions in a radar detection system can be provided.

[0111] 2) The parameters involved in this model are simple to set, the modeling method is applicable to a variety of coding languages, it has strong universality, and it does not require high professional level and experience from users in the relevant field.

[0112] 3) Modeling can be done in Matlab source scripts. The modeling of wind turbines and wind farms starts from the most basic design and is suitable for simulation of various terrain environments, wind farm scale and number of wind farms. The model has high flexibility and convenience.

[0113] To implement the above embodiments, this application also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0114] To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0115] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0116] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0117] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.

[0118] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.

[0119] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0120] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0121] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0122] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0123] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0124] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0125] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0126] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for modeling a wind farm for a radar system, characterized in that, A wind farm comprises multiple wind turbines, each of which has three radial structures: tower, blades, and nacelle. The modeling method includes the following steps: Obtain the coordinates of the wind turbine, the size of the wind turbine, the wind direction, and the coordinates of the radar system; Based on the wind turbine coordinates and dimensions, an initial state model is obtained by modeling the initial state of each radial structure of the wind turbine. Set the roll angle, and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model; The yaw angle is obtained based on the wind turbine coordinates, the wind direction, and the radar system coordinates. The rotation model of the blade is optimized based on the yaw angle to obtain the corresponding target model. Based on the target model of the blades and the initial state models of the tower and nacelle, a wind turbine model is obtained, and then a wind farm model is obtained.

2. The wind farm modeling method for radar systems according to claim 1, characterized in that, The initial state model is obtained by modeling the initial state of each radial structure of the wind turbine, including: The various radial structures of the wind turbine are divided into multiple corresponding components. Based on the wind turbine coordinates and dimensions, initial state modeling is performed for each component of each radial structure to obtain the corresponding initial state model of the radial structure.

3. The method for modeling wind farms for radar systems according to claim 2, characterized in that, When performing segmentation, the data is divided equally using a segmentation method.

4. The method for modeling a wind farm for a radar system according to claim 1, characterized in that, The initial state model of the blade is obtained by modeling the initial state of the blade, including: Set the tilt angle, which is the angle between the blade and the vertical direction; Based on the tilt angle, the wind turbine coordinates, and the wind turbine dimensions, the initial state model of the blade is obtained by initial state modeling.

5. The method for modeling wind farms for radar systems according to claim 1, characterized in that, The process of obtaining the yaw angle based on the wind turbine coordinates, the wind direction, and the radar system coordinates includes: The vector pointing from the wind turbine to the radar is obtained based on the coordinates of the wind turbine and the radar system. The wind vector is obtained based on the wind direction; The yaw angle is obtained based on the vector of the wind turbine pointing radar and the wind vector.

6. The method for modeling wind farms for radar systems according to claim 5, characterized in that, The rotation model based on the yaw angle optimization of the blades yields the corresponding target model, including: Determine the yaw rotation transformation matrix based on the yaw angle; The target model of the blade is obtained based on the yaw rotation transformation matrix and the rotation model.

7. The method for modeling wind farms for radar systems according to claim 1, characterized in that, Also includes: The target model of the cabin is obtained by optimizing the initial state model of the cabin based on the yaw angle. A wind turbine model is obtained based on the target model of the blades, the initial state model of the tower, and the target model of the nacelle.

8. A modeling system for wind farms used in radar systems, characterized in that, A wind farm comprises multiple wind turbines, each with three radial structures: tower, blades, and nacelle. The modeling system includes: The acquisition module is used to acquire wind turbine coordinates, wind turbine dimensions, wind direction, and radar system coordinates. The modeling module is used to perform initial state modeling for each radial structure of the wind turbine based on the wind turbine coordinates and wind turbine dimensions to obtain an initial state model. The first model optimization module is used to set the roll angle and optimize the initial state model of the blade based on the roll angle to obtain the corresponding rotation model. The second model optimization module is used to obtain the yaw angle based on the wind turbine coordinates, the wind direction and the radar system coordinates, and optimize the blade rotation model based on the yaw angle to obtain the corresponding target model. The wind farm model determination module is used to obtain a wind turbine model based on the target model of the blades and the initial state models of the tower and nacelle, and then obtain a wind farm model.

9. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

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