An information reconstruction method for parameter identification of a wind power hybrid tower structure, an electronic device and a storage medium

Abstract

The application discloses an information reconstruction method for parameter identification of a wind power mixed tower structure, an electronic device and a storage medium, and belongs to the technical field of wind power mixed tower structure monitoring and identification. In order to improve the accuracy of wind power mixed tower structure monitoring, the application comprises the following steps: a finite element model of the wind power mixed tower structure is established according to drawings and field data, and a state equation of a discretized linear structure system is established; an acceleration signal is taken as an observation quantity, and an observation equation is established; external loads of the wind power mixed tower structure system, including seismic waves and wind loads, are identified based on the observation equation; then the identified external loads of the wind power mixed tower structure system are applied to the finite element model of the wind power mixed tower structure, a structure response equation is obtained, and then reconstructed observation data are calculated; and finally, the wind power mixed tower structure parameters are identified based on the least square method. The overall operation process of the application is convenient and high in precision.

Description

Technical Field

[0001] This invention belongs to the field of wind power hybrid tower structure monitoring and identification technology, specifically relating to an information reconstruction method, electronic device and storage medium for identifying wind power hybrid tower structure parameters. Background Technology

[0002] Hybrid towers exceeding 140 meters in height, with their advantages in height, economic efficiency, and stable support, are becoming the mainstream choice for developing low-wind-speed wind farms in my country. Currently, the application of hybrid tower structures faces challenges due to the vast amount of structural testing data and the difficulty in standardizing sampling frequencies. There is a lack of unified testing data standards to support the evaluation of structural load-bearing capacity and expected lifespan based on observational data. Existing hybrid tower projects involve testing data such as acceleration, tilt angle, settlement, and strain, with significant differences in sampling frequencies for each parameter, making it difficult to unify their use for structural parameter identification. These factors pose significant difficulties for defect analysis and damage identification in hybrid tower structural systems. Therefore, in practical engineering, there is an urgent need to develop and research testing information fusion algorithms for tower sections to provide assurance for the operation and maintenance of structural systems. Summary of the Invention

[0003] The problem to be solved by this invention is to improve the accuracy of monitoring wind power hybrid tower structures. It proposes an information reconstruction method, electronic equipment and storage medium for identifying wind power hybrid tower structure parameters.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] An information reconstruction method for identifying structural parameters of wind turbine hybrid towers includes the following steps:

[0006] S1. Based on drawings and on-site data, establish a finite element model of the wind power hybrid tower structure and establish the state equation of the discretized linear structural system;

[0007] S2. Using the acceleration signal as the observation, establish the observation equation;

[0008] S3. Based on the observation equations obtained in step S2, identify the external loads of the wind power hybrid tower structure system, including ground motion and wind loads. Then, apply the identified external loads of the wind power hybrid tower structure system to the finite element model of the constructed wind power hybrid tower structure to obtain the structural response equations. Finally, calculate the reconstructed observation data.

[0009] S4. Using the reconstructed observation data obtained in step S3, identify the structural parameters of the wind power hybrid tower based on the least squares method.

[0010] Furthermore, the drawings and site data in step S1 include the geometric dimensions, steel structure specifications, elastic modulus, concrete grade, and elastic modulus of the wind power hybrid tower structure.

[0011] The expression for the state equation of the discretized linear structure system is as follows:

[0012]

[0013] Where z(j+1) represents the state variable of the (j+1)th recursive step, A Disc B represents the system matrix in time discrete order. Disc Let M represent the system input matrix in discrete time, G represent the mass matrix of the structural system, L represent the location of the inertial force, F represent the location of the external contact excitation, and F represent the external load on the wind turbine hybrid tower structure. Let w(j) represent the ground acceleration, and w(j) represent the noise at the j-th recursive step.

[0014] The expression for the state variable z is:

[0015]

[0016] Where x represents the displacement of the structural system. Indicates the velocity of the structural system;

[0017] A Disc From system matrix A C Discretized, A C The expression is:

[0018]

[0019] Where C represents the damping matrix and K represents the stiffness matrix;

[0020] B Disc Input matrix B from the system C Discretely obtained, B C The expression is:

[0021]

[0022] Furthermore, the expression for the observation equation in step S2 is:

[0023]

[0024] Where y represents the observations, R represents the observation location matrix, and D represents the coefficient matrix;

[0025] R = [R d -R a M -1 KR v -R a M -1 C]

[0026] Among them, R d The observation matrix R represents the displacement.a The observation matrix representing acceleration, R v The observation matrix represents velocity; when displacement and velocity are not observed, the corresponding matrix elements are set to 0.

[0027] Furthermore, the specific implementation method of step S3 includes the following steps:

[0028] S3.1. Discretize the observation equation obtained in step S2 to obtain the following expression:

[0029]

[0030] Where y(j) represents the observations at the j-th recursive step, k represents the total time steps from the first step to the current step, and H k Represents the Hessian matrix;

[0031] H k =R(A Disc ) k-1 B

[0032] S3.2. If ground acceleration is obtained through an IoT sensing system, then the expression for the external load of the wind turbine hybrid tower structure is:

[0033]

[0034] Among them, H L Let H represent the Hessian matrix corresponding to the load F, Y represent the column vector formed by the observations, and H represent the Hessian matrix corresponding to the load F. G This represents the Hessian matrix corresponding to the seismic action.

[0035]

[0036] Among them, L S Represents a diagonal matrix composed of L;

[0037]

[0038] Among them, G S Let H0 represent the diagonal matrix composed of seismic forces, and let H0 represent the Hessian matrix of the first time step. H0 and D are equal.

[0039]

[0040] S3.3. Considering the combined effects of external contact loads and seismic motion on the structure, the structural response equation is obtained as follows:

[0041]

[0042] Solving for F using L-curve regularization, and then combining F with the ground motion... A finite element model of a wind turbine hybrid tower structure was applied to obtain structural reconstruction response data with all degrees of freedom, which was used as reconstruction observation data.

[0043] An electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the information reconstruction method for identifying structural parameters of wind power hybrid towers.

[0044] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned information reconstruction method for identifying structural parameters of wind power hybrid towers.

[0045] The beneficial effects of this invention are:

[0046] The present invention provides an information reconstruction method for identifying structural parameters of wind power hybrid towers, offering a full structural response reconstruction method for incomplete engineering structural testing. The overall operation of the present invention is convenient and highly accurate. While ensuring the accuracy and stability of the acceleration signal, other signals can be resampled and reconstructed, and then used as observation data for structural parameter identification. Attached Figure Description

[0047] Figure 1 This is a flowchart of an information reconstruction method for identifying structural parameters of a hybrid wind power tower, as described in this invention. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described specific embodiments are merely a part of the embodiments of the invention, and not all of them. The components of the specific embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations, and the invention may also have other embodiments.

[0049] Therefore, the following detailed description of specific embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected specific embodiments of the invention. All other specific embodiments obtained by those skilled in the art based on these specific embodiments without inventive effort are within the scope of protection of this invention.

[0050] To further understand the invention's content, features, and effects, the following specific embodiments are provided, along with detailed descriptions in conjunction with the accompanying drawings:

[0051] Example 1:

[0052] An information reconstruction method for identifying structural parameters of wind turbine hybrid towers includes the following steps:

[0053] S1. Based on drawings and on-site data, establish a finite element model of the wind power hybrid tower structure and establish the state equation of the discretized linear structural system;

[0054] Furthermore, the drawings and site data in step S1 include the geometric dimensions, steel structure specifications, elastic modulus, concrete grade, and elastic modulus of the wind power hybrid tower structure.

[0055] The expression for the state equation of the discretized linear structure system is as follows:

[0056]

[0057] Where z(j+1) represents the state variable of the (j+1)th recursive step, A Disc B represents the system matrix in time discrete order. Disc Let M represent the system input matrix in discrete time, G represent the mass matrix of the structural system, L represent the location of the inertial force, F represent the location of the external contact excitation, and F represent the external load on the wind turbine hybrid tower structure. Let w(j) represent the ground acceleration, and w(j) represent the noise at the j-th recursive step.

[0058] The expression for the state variable z is:

[0059]

[0060] Where x represents the displacement of the structural system. Indicates the velocity of the structural system;

[0061] A Disc From system matrix A C Discretized, A C The expression is:

[0062]

[0063] Where C represents the damping matrix and K represents the stiffness matrix;

[0064] B Disc Input matrix B from the system C Discretely obtained, B C The expression is:

[0065]

[0066] S2. Using the acceleration signal as the observation, establish the observation equation;

[0067] Furthermore, the expression for the observation equation in step S2 is:

[0068]

[0069] Where y represents the observations, R represents the observation location matrix, and D represents the coefficient matrix;

[0070] R = [R d -R a M -1 KR v -R a M -1 C]

[0071] Among them, R d The observation matrix R represents the displacement. a The observation matrix representing acceleration, R v The observation matrix represents velocity; when displacement and velocity are not observed, the corresponding matrix elements are set to 0.

[0072] S3. Based on the observation equations obtained in step S2, identify the external loads of the wind power hybrid tower structure system, including ground motion and wind loads. Then, apply the identified external loads of the wind power hybrid tower structure system to the finite element model of the constructed wind power hybrid tower structure to obtain the structural response equations. Finally, calculate the reconstructed observation data.

[0073] Furthermore, the specific implementation method of step S3 includes the following steps:

[0074] S3.1. Discretize the observation equation obtained in step S2 to obtain the following expression:

[0075]

[0076] Where y(j) represents the observations at the j-th recursive step, k represents the total time steps from the first step to the current step, and H k Represents the Hessian matrix;

[0077] H k =R(A Disc ) k-1 B

[0078] S3.2. If ground acceleration is obtained through an IoT sensing system, then the expression for the external load of the wind turbine hybrid tower structure is:

[0079]

[0080] Among them, H L Let H represent the Hessian matrix corresponding to the load F, Y represent the column vector formed by the observations, and H represent the Hessian matrix corresponding to the load F. G This represents the Hessian matrix corresponding to the seismic action.

[0081]

[0082] Among them, L S Represents a diagonal matrix composed of L;

[0083]

[0084] Among them, G S Let H0 represent the diagonal matrix composed of seismic forces, and let H0 represent the Hessian matrix of the first time step. H0 and D are equal.

[0085]

[0086] S3.3. Considering the combined effects of external contact loads and seismic motion on the structure, the structural response equation is obtained as follows:

[0087]

[0088] Solving for F using L-curve regularization, and then combining F with the ground motion... A finite element model of a wind turbine hybrid tower structure was applied to obtain structural reconstruction response data with all degrees of freedom, which was used as reconstruction observation data.

[0089] S4. Using the reconstructed observation data obtained in step S3, identify the structural parameters of the wind power hybrid tower based on the least squares method.

[0090] Example 2:

[0091] An electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the information reconstruction method for identifying structural parameters of a wind power hybrid tower as described in Embodiment 1.

[0092] The computer device of the present invention may include a processor and a memory, such as a microcontroller containing a central processing unit. Furthermore, when the processor executes the computer program stored in the memory, it implements the steps of the aforementioned recommendation method for modifyable relationship-driven recommendation data based on CREO software.

[0093] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0094] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function (such as sound playback, image playback, etc.); the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0095] Example 3:

[0096] A computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements an information reconstruction method for identifying structural parameters of a wind power hybrid tower.

[0097] The computer-readable storage medium of the present invention can be any form of storage medium that can be read by the processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. The computer-readable storage medium stores a computer program. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-described modeling method for modifyable relation-driven modeling data based on CREO software can be implemented.

[0098] The computer program includes computer program code, which may be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0099] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0100] Although this application has been described above with reference to specific embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of this application. In particular, as long as there is no structural conflict, the features in the specific embodiments disclosed in this application can be combined with each other in any way. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, this application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. An information reconstruction method for identifying structural parameters of wind power hybrid towers, characterized in that, Includes the following steps: S1. Based on the drawings and on-site data, establish a finite element model of the wind power hybrid tower structure and establish the state equation of the discretized linear structural system; S2. Using the acceleration signal as the observation, establish the observation equation; S3. Based on the observation equations obtained in step S2, identify the external loads of the wind power hybrid tower structure system, including ground motion and wind loads. Then, apply the identified external loads of the wind power hybrid tower structure system to the finite element model of the constructed wind power hybrid tower structure to obtain the structural response equations. Finally, calculate the reconstructed observation data. The specific implementation method of step S3 includes the following steps: S3.

1. Discretize the observation equation obtained in step S2; S3.

2. If ground acceleration is obtained through an IoT sensing system, then the expression for the external load of the wind power hybrid tower structure is: ； in, This represents the Hessian matrix corresponding to the load F. This represents the column vector formed by the observations. This represents the Hessian matrix corresponding to the seismic action, where L represents the location of the external contact excitation. Indicates ground acceleration; ； in, H1 represents the diagonal matrix formed by L; H1 represents the Hessian matrix at the first time step. N-1 H represents the Hessian matrix at time step N-1. N-2 Represents the Hessian matrix at the (N-2)th time step; ； ； in, H0 represents the diagonal matrix composed of seismic forces, and H0 represents the Hessian matrix at time step 0. ； Where M represents the mass matrix of the structural system, and G represents the location of the inertial force; S3.

3. Considering the combined effects of external contact loads and seismic motion on the structure, the structural response equation is obtained as follows: ； Solving for F using L-curve regularization, and then combining F with the seismic motion H G A finite element model of a wind turbine hybrid tower structure was applied to obtain structural reconstruction response data with full degrees of freedom, which was used as reconstruction observation data. S4. Using the reconstructed observation data obtained in step S3, identify the structural parameters of the wind turbine hybrid tower based on the least squares method.

2. The information reconstruction method for identifying structural parameters of wind power hybrid towers according to claim 1, characterized in that, The drawings and site data in step S1 include the geometric dimensions, steel structure specifications, elastic modulus, concrete grade, and elastic modulus of the wind power hybrid tower structure; The expression for the state equation of the discretized linear structure system is as follows: ； in, This represents the state variable at the (j+1)th recursive step. The system matrix represents the time-discrete system matrix. Let M represent the system input matrix in discrete time, G represent the mass matrix of the structural system, L represent the location of the inertial force, F represent the location of the external contact excitation, and F represent the external load on the wind turbine hybrid tower structure. Let w(j) represent the ground acceleration, and w(j) represent the noise at the j-th recursive step. This represents the state variable of the j-th recursive step; This represents the external load of the wind power hybrid tower structure system at the j-th recursive step; state variables The expression is: ； Where x represents the displacement of the structural system. Indicates the velocity of the structural system; From the system matrix Discretized The expression is: ； Where C represents the damping matrix and K represents the stiffness matrix; Input matrix from the system Discretized The expression is: 。 3. The information reconstruction method for identifying structural parameters of wind power hybrid towers according to claim 2, characterized in that, The expression for the observation equation in step S2 is: ； Where y represents the observed quantity, D represents the observation position matrix, and D represents the coefficient matrix; ； in, The observation matrix representing displacement, The observation matrix representing acceleration, The observation matrix represents velocity; when displacement and velocity are not observed, the corresponding matrix elements are set to 0.

4. The information reconstruction method for identifying structural parameters of wind power hybrid towers according to claim 3, characterized in that, The specific implementation method of step S3 includes the following steps: S3.

1. Discretize the observation equation obtained in step S2 to obtain the following expression: ； in, Let k represent the observations at the j-th recursive step, and k represent the total time steps from the first step to the current step. This represents the Hessian matrix corresponding to the load change of the observation pair at time step k; Represents the external load of the wind power hybrid tower structure system at the jk-th recursive step; C 。 5. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the information reconstruction method for identifying structural parameters of a wind power hybrid tower as described in any one of claims 1-4.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the information reconstruction method for identifying structural parameters of wind power hybrid towers as described in any one of claims 1-4.

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