Information reconstruction method for structural parameter identification of wind power mixed tower, electronic equipment and storage medium

Abstract

The invention discloses an information reconstruction method for wind power mixed tower structure parameter identification, electronic equipment and a storage medium, and belongs to the technical field of wind power mixed tower structure monitoring and identification. In order to improve the monitoring accuracy of the wind power mixed tower structure, the method comprises the following steps: establishing a finite element model of the wind power mixed tower structure according to a drawing and field data, and establishing a state equation of a discretization linear structure system; establishing an observation equation by taking the acceleration signal as an observed quantity; based on the observation equation, external loads, including seismic oscillation and wind load, of the wind power mixed tower structure system are recognized, then the recognized external loads of the wind power mixed tower structure system act on the constructed finite element model of the wind power mixed tower structure, a structure reaction equation is obtained, and reconstruction observation data are obtained through calculation; and identifying the structural parameters of the wind power mixed tower based on a least square method. The whole operation process is convenient and high in precision.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power hybrid tower structure monitoring and identification, and in particular relates to an information reconstruction method, electronic equipment and storage medium for wind power hybrid tower structure parameter identification. Background Art

[0002] Hybrid towers above 140 meters will become the mainstream choice for developing low-wind-speed wind farms in my country due to their height advantages, good economy and stable support. The current problem with the application of hybrid tower structures is that there is a lot of structural test information and it is difficult to unify the sampling frequency. There is no unified test data standard to support the evaluation of structural bearing capacity and life expectancy through observation data. The completed hybrid tower projects involve test information such as acceleration, inclination, settlement, and strain. The sampling frequencies of various parameter tests vary greatly, making it difficult to unify them for structural parameter identification. The above factors bring great difficulties to the defect analysis and damage identification of the hybrid tower structure system. Therefore, it is urgent to develop a test information fusion algorithm for the tower in actual engineering to provide guarantees for the operation and maintenance of the structural system. Summary of the invention

[0003] The problem to be solved by the present invention is to improve the accuracy of wind power hybrid tower structure monitoring, and propose an information reconstruction method, electronic equipment and storage medium for wind power hybrid tower structure parameter identification.

[0004] To achieve the above object, the present invention is implemented through the following technical solutions:

[0005] An information reconstruction method for wind power hybrid tower structural parameter identification comprises the following steps:

[0006] S1. Establish a finite element model of the wind turbine hybrid tower structure based on drawings and field data, and establish the state equation of the discretized linear structural system;

[0007] S2. Taking the acceleration signal as the observed quantity, establish the observation equation;

[0008] S3. Based on the observation equation obtained in step S2, the external loads of the wind power hybrid tower structure system are identified, including earthquake motion and wind loads, and then the identified external loads of the wind power hybrid tower structure system are applied to the constructed finite element model of the wind power hybrid tower structure to obtain the structural response equation, and then the reconstructed observation data are calculated;

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

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

[0011] The expression of the state equation of the established discretized linear structural system is:

[0012]

[0013] Among them, z(j+1) represents the state quantity of the j+1th recursive step, A Disc represents the time-discrete system matrix, B Disc represents the time-discrete system input matrix, M represents the mass matrix of the structural system, G represents the position of inertial force, L represents the position of external contact excitation, and F is the external load of the wind turbine hybrid tower structure system. represents the ground acceleration, w(j) represents the noise of the j-th recursive step;

[0014] The expression of the state quantity z is:

[0015]

[0016] Where x represents the displacement of the structural system, Indicates the speed of the structural system;

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

[0018]

[0019] Among them, C represents the damping matrix, K represents the stiffness matrix;

[0020] B Disc The system input matrix B C Discrete, B C The expression is:

[0021]

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

[0023]

[0024] Among them, y represents the observed quantity, R represents the observation position 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 representing the displacement, Ra Represents the acceleration observation matrix, R v The observation matrix represents the velocity. When the displacement and velocity are not observed, the corresponding matrix elements are 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 expression:

[0029]

[0030] Among them, y(j) represents the observation value of the j-th recursive step, k represents the total time step 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 the ground acceleration is obtained through the IoT sensor system, the expression of the external load of the wind turbine hybrid tower structure system is:

[0033]

[0034] Among them, H L represents the Hessian matrix corresponding to the load F, Y represents the column vector formed by the observation value, H G Represents the Hessian matrix corresponding to the earthquake action;

[0035]

[0036] Among them, L S represents the diagonal matrix composed of L;

[0037]

[0038] Among them, G S represents the diagonal matrix composed of earthquake actions, H0 represents the Hessian matrix of the first time step, H0 and D are equal;

[0039]

[0040] S3.3. Considering the structural response caused by the dual effects of external contact load and ground motion, the structural response equation is:

[0041]

[0042] Use L-curve regularization to solve F and transform F and ground motion The finite element model of the wind turbine hybrid tower structure is applied to obtain the structural reconstruction response data with full degrees of freedom as the reconstruction observation data.

[0043] An electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of an information reconstruction method for wind power hybrid tower structural parameter identification are implemented.

[0044] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the information reconstruction method for wind power hybrid tower structural parameter identification.

[0045] Beneficial effects of the present invention:

[0046] The information reconstruction method for wind power hybrid tower structural parameter identification described in the present invention provides a full structural response reconstruction method for incomplete engineering structure testing. The overall operation process of the present invention is convenient and highly accurate. On the basis of ensuring that the acceleration signal is correct and stable, other signals can be resampled and reconstructed, and then used as observation data for structural parameter identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 The present invention is a flowchart of an information reconstruction method for wind power hybrid tower structural parameter identification. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the specific embodiments described are only part of the embodiments of the present invention, rather than all of the specific embodiments. The components of the specific embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations, and the present invention can also have other embodiments.

[0049] Therefore, the following detailed description of the specific embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents the selected specific embodiments of the present invention. Based on the specific embodiments of the present invention, all other specific embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0050] In order to further understand the content, features and effects of the present invention, the following specific implementation modes are given as examples and described in detail with reference to the accompanying drawings:

[0051] Embodiment 1:

[0052] An information reconstruction method for wind power hybrid tower structural parameter identification comprises the following steps:

[0053] S1. Establish a finite element model of the wind turbine hybrid tower structure based on drawings and field data, and establish the state equation of the discretized linear structural system;

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

[0055] The expression of the state equation of the established discretized linear structural system is:

[0056]

[0057] Among them, z(j+1) represents the state quantity of the j+1th recursive step, A Disc represents the time-discrete system matrix, B Disc represents the time-discrete system input matrix, M represents the mass matrix of the structural system, G represents the position of inertial force, L represents the position of external contact excitation, and F is the external load of the wind turbine hybrid tower structure system. represents the ground acceleration, w(j) represents the noise of the j-th recursive step;

[0058] The expression of the state quantity z is:

[0059]

[0060] Where x represents the displacement of the structural system, Indicates the speed of the structural system;

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

[0062]

[0063] Among them, C represents the damping matrix, K represents the stiffness matrix;

[0064] B Disc The system input matrix B C Discrete, B C The expression is:

[0065]

[0066] S2. Taking the acceleration signal as the observed quantity, establish the observation equation;

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

[0068]

[0069] Among them, y represents the observed quantity, R represents the observation position 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 representing the displacement, R a Represents the acceleration observation matrix, R v The observation matrix represents the velocity. When the displacement and velocity are not observed, the corresponding matrix elements are 0.

[0072] S3. Based on the observation equation obtained in step S2, the external loads of the wind power hybrid tower structure system are identified, including earthquake motion and wind loads, and then the identified external loads of the wind power hybrid tower structure system are applied to the constructed finite element model of the wind power hybrid tower structure to obtain the structural response equation, and then the reconstructed observation data are calculated;

[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 expression:

[0075]

[0076] Among them, y(j) represents the observation value of the j-th recursive step, k represents the total time step 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 the ground acceleration is obtained through the IoT sensor system, the expression of the external load of the wind turbine hybrid tower structure system is:

[0079]

[0080] Among them, H L represents the Hessian matrix corresponding to the load F, Y represents the column vector formed by the observation value, H G Represents the Hessian matrix corresponding to the earthquake action;

[0081]

[0082] Among them, L S represents the diagonal matrix composed of L;

[0083]

[0084] Among them, G S represents the diagonal matrix composed of earthquake actions, H0 represents the Hessian matrix of the first time step, H0 and D are equal;

[0085]

[0086] S3.3. Considering the structural response caused by the dual effects of external contact load and ground motion, the structural response equation is:

[0087]

[0088] Use L-curve regularization to solve F and transform F and ground motion The finite element model of the wind turbine hybrid tower structure is applied to obtain the structural reconstruction response data with full degrees of freedom as the reconstruction observation data.

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

[0090] Embodiment 2:

[0091] An electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of an information reconstruction method for wind power hybrid tower structural parameter identification described in Example 1 are implemented.

[0092] The computer device of the present invention may be a device including a processor and a memory, such as a single chip microcomputer including a central processing unit. Furthermore, the processor is used to implement the steps of the above-mentioned recommendation method based on CREO software that can modify the recommendation data driven by the relationship when executing the computer program stored in the memory.

[0093] The processor may be a central processing unit (CPU), 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, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0094] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0095] Embodiment 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, an information reconstruction method for wind power hybrid tower structural parameter identification as described in any one of claims 1 to 4 is implemented.

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

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

[0099] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0100] Although the present application has been described above with reference to specific embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present application. In particular, as long as there is no structural conflict, the various features in the specific embodiments disclosed in the present application may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present 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 wind power hybrid tower structural parameter identification, characterized in that: The steps include: S1. Establish a finite element model of the wind turbine hybrid tower structure based on drawings and field data, and establish the state equation of the discretized linear structural system; S2. Taking the acceleration signal as the observed quantity, establish the observation equation; S3. Based on the observation equation obtained in step S2, the external loads of the wind power hybrid tower structure system are identified, including earthquake motion and wind loads, and then the identified external loads of the wind power hybrid tower structure system are applied to the constructed finite element model of the wind power hybrid tower structure to obtain the structural response equation, and then the reconstructed observation data are calculated; S4. Using the reconstructed observation data obtained in step S3, the structural parameters of the wind turbine hybrid tower are identified based on the least squares method.

2. The information reconstruction method for wind power hybrid tower structural parameter identification according to claim 1 is characterized in that: The drawings and on-site data in step S1 include geometric dimensions, steel structure specifications, elastic modulus, concrete grade and elastic modulus of the wind power tower structure; The expression of the state equation of the established discretized linear structural system is: Among them, z(j+1) represents the state quantity of the j+1th recursive step, A Disc represents the time-discrete system matrix, B Disc represents the time-discrete system input matrix, M represents the mass matrix of the structural system, G represents the position of inertial force, L represents the position of external contact excitation, and F is the external load of the wind turbine hybrid tower structure system. represents the ground acceleration, w(j) represents the noise of the j-th recursive step; The expression of the state quantity z is: Where x represents the displacement of the structural system, Indicates the speed of the structural system; A Disc From the system matrix A C Discrete, A C The expression is: Among them, C represents the damping matrix, K represents the stiffness matrix; B Disc The system input matrix B C Discrete, B C The expression is:

3. The information reconstruction method for wind power hybrid tower structural parameter identification according to claim 2 is characterized in that: The expression of the observation equation of step S2 is: Among them, y represents the observed quantity, R represents the observation position matrix, and D represents the coefficient matrix; R=[R d -R a M -1 K R v -R a M -1 C] Among them, R d The observation matrix representing the displacement, R a Represents the acceleration observation matrix, R v The observation matrix represents the velocity. When the displacement and velocity are not observed, the corresponding matrix elements are 0.

4. The information reconstruction method for wind power hybrid tower structural parameter identification according to claim 3 is 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 expression: Among them, y(j) represents the observation value of the j-th recursive step, k represents the total time step from the first step to the current step, and H k represents the Hessian matrix; H k =R(A Disc ) k-1 B S3.

2. If the ground acceleration is obtained through the IoT sensor system, the expression of the external load of the wind turbine hybrid tower structure system is: Among them, H L represents the Hessian matrix corresponding to the load F, Y represents the column vector formed by the observation value, H G Represents the Hessian matrix corresponding to the earthquake action; Among them, L S represents the diagonal matrix composed of L; Among them, G S represents the diagonal matrix composed of earthquake actions, H0 represents the Hessian matrix of the first time step, H0 and D are equal; S3.

3. Considering the structural response caused by the dual effects of external contact load and ground motion, the structural response equation is: Use L-curve regularization to solve F and transform F and ground motion The finite element model of the wind turbine hybrid tower structure is applied to obtain the structural reconstruction response data with full degrees of freedom as the reconstruction observation data.

5. An electronic device, characterized in that: It comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of an information reconstruction method for wind power hybrid tower structure parameter identification as described in any one of claims 1 to 4 when executing the computer program.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, an information reconstruction method for wind power hybrid tower structural parameter identification as described in any one of claims 1 to 4 is implemented.

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