Tower frequency optimization methods, electronic devices and storage media

Abstract

This application relates to the field of wind turbine technology and discloses a tower frequency optimization method, electronic equipment, and storage medium. In this application, tower structural parameters are generated based on tower design parameters, including the number of sections, the length of each section, and the diameter of each section. The wall thickness of each section is generated based on tower load, tower performance, constraints, and the diameter of each section. A first tower frequency is generated based on a preset frequency verification algorithm, the tower structural parameters, and the wall thickness of each section. The first tower frequency is then optimized based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency. This solution effectively solves the technical problems of low optimization efficiency and inaccurate frequency optimization results caused by reliance on manual experience in related technologies.

Description

Technical Field

[0001] This application relates to the field of wind turbine technology, and in particular to a tower frequency optimization method, electronic equipment, and storage medium. Background Technology

[0002] The tower of a wind turbine is the core structure that supports the nacelle and rotor. The natural frequency of the tower must avoid the rotor's rotational frequency to prevent resonance. During the tower design phase, it is usually required that the frequency deviate by more than 5% to achieve effective frequency avoidance.

[0003] Currently, wind turbine generators still widely use tapered steel towers. After determining the relevant structural parameters of the tower during the tower design process, the optimization of the tower's natural frequency mainly relies on adjusting the wall thickness distribution of each section. However, the relevant optimization methods heavily depend on the engineers' manual experience: typically, the wall thickness of each section is manually adjusted, and the frequency is repeatedly verified using finite element software or other calculation tools. This process is largely based on experience, and the manual iteration process is inefficient, time-consuming, and makes it difficult to systematically explore all possible wall thickness combinations, resulting in the obtained tower natural frequency not being the optimal solution.

[0004] In summary, the relevant tower frequency optimization technology suffers from low optimization efficiency and inaccurate optimization results due to its reliance on manual experience. Summary of the Invention

[0005] The purpose of this application is to provide a tower frequency optimization method, electronic device and storage medium, which can solve the technical problems of low optimization efficiency and insufficient accuracy of frequency optimization results caused by reliance on human experience in related technologies.

[0006] To address the aforementioned technical problems, embodiments of this application provide a tower frequency optimization method. The tower comprises at least one segment, and each segment comprises at least one section. The method includes: generating tower structural parameters based on tower design parameters; wherein the tower structural parameters include the number of sections, the length of each section, and the diameter of each section; generating the wall thickness of each section based on tower load, tower performance, constraints, and the diameter of each section; generating a first tower frequency based on a preset frequency verification algorithm, the tower structural parameters, and the wall thickness of each section; and optimizing the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency.

[0007] In this embodiment, the tower includes at least one section, and each section includes at least one segment. The tower frequency optimization method includes: generating tower structural parameters based on tower design parameters; wherein the tower structural parameters include the number of segments, the length of each segment, and the diameter of each segment; generating the wall thickness of each segment based on tower load, tower performance, constraints, and the diameter of each segment; generating a first tower frequency based on a preset frequency verification algorithm, tower structural parameters, and the wall thickness of each segment; and optimizing the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency. This scheme automatically generates the entire process of tower frequency optimization based on a preset algorithm flow, thereby improving the optimization efficiency of tower frequency. At the same time, it calculates the tower frequency based on the tower structural parameters and the wall thickness of each section, and then optimizes the tower frequency by comparing it with the resonant frequency range. This allows the tower frequency optimization process to explore all possible wall thickness combinations, thereby improving the accuracy of the output tower frequency. Therefore, this scheme can effectively solve the technical problems of low optimization efficiency and insufficient accuracy of frequency optimization results caused by the reliance on human experience in related technologies.

[0008] Furthermore, the step of generating the wall thickness of each cylinder section based on the tower load, tower performance, constraints, and the diameter of each cylinder section includes: for each cylinder section diameter, confirming whether the cylinder section to be verified meets the constraints based on a preset wall thickness of the cylinder section to be verified, the tower load, and the tower performance, wherein the cylinder section to be verified is generated based on the cylinder section diameter and the wall thickness of the cylinder section to be verified; if the cylinder section to be verified meets the constraints, then the wall thickness of the cylinder section to be verified is used as the cylinder section wall thickness; if the cylinder section to be verified does not meet the constraints, then the wall thickness of the cylinder section to be verified is recalculated based on the constraints.

[0009] Furthermore, in the frequency verification algorithm, f i Let E be the frequency of the first tower, E be the elastic modulus of the tower steel plate, ν be the Poisson's ratio of the tower steel plate, and F be the elastic modulus of the first tower. S h is the stiffness of the tower foundation. h h is the hub height. f The height of the tower foundation is in meters (m). RNA The weight of the machine head is ρ, the material density of the cylinder section is l. j Let j be the length of the j-th section. Let be the diameter of the top of the j-th section. Let t be the bottom diameter of the j-th section. ij Let be the wall thickness of the j-th section in the i-th iteration, j∈[1,n], and n be the number of sections; wherein, the frequency verification algorithm adopts the following expression.

[0010] .

[0011] In addition, the optimization of the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate the second tower frequency includes at least one of the following operations: when the first tower frequency is within the resonant frequency range, the wall thickness of each of the tower sections is adjusted, and the first tower frequency is recalculated based on the adjusted wall thickness of each of the tower sections; when the first tower frequency is not within the resonant frequency range, the first tower frequency is output as the second tower frequency.

[0012] In addition, the adjustment of the wall thickness of each cylinder section includes: adjusting the wall thickness of each target cylinder section based on a preset wall thickness differential interval, and generating each third tower frequency based on the wall thickness of other cylinder sections and the adjusted target cylinder section wall thickness; generating each frequency influence parameter based on each third tower frequency, the first tower frequency, the wall thickness differential interval, each cylinder length, the cylinder diameter, and the tower frequency iteration direction; processing each frequency influence parameter to generate a wall thickness adjustment ratio correction parameter; performing peak normalization processing on the wall thickness adjustment ratio correction parameter to generate the wall thickness adjustment ratio; and adjusting the wall thickness of each cylinder section according to the preset wall thickness adjustment interval, the wall thickness adjustment ratio, and the tower frequency iteration direction.

[0013] In addition, the generation of frequency influence parameters based on the third tower frequency, the first tower frequency, the wall thickness differential interval, the length of each section, the diameter of each section, and the tower frequency iteration direction includes: generating frequency influence parameter formulas based on preset frequency influence parameter formulas. And the frequency iteration direction of the tower, to generate each of the frequency influence parameters; wherein, in the formula of the frequency influence parameter, For each of the frequency-affecting parameters, f ij f is the frequency of the third tower. i The frequency of the first tower is... Let l be the differential interval of the wall thickness. j Let d be the length of each of the aforementioned sections. j Let be the diameter of the middle section of the j-th section.

[0014] In addition, the tower structure parameters also include the number of sections in each of the tower segments; the generation of the second tower frequency further includes: generating the weight of each tower segment based on the number of sections, the length, the diameter, and the wall thickness of each of the tower segments; when there are tower segments whose weights do not conform to the preset weight range, adjusting the length of each tower segment based on the weight range and the weight of each tower segment; and recalculating the first tower frequency based on the adjusted length of each tower segment.

[0015] In addition, the generation of the second tower frequency further includes at least one of the following operations: when the tower is a rigid tower, the second tower frequency is adjusted based on a preset moment of inertia, and the wall thickness of each section is adjusted based on preset manufacturing precision parameters; when the tower is a flexible tower, the tower strength is generated based on the wall thickness of each section, the tower load, and the tower performance, and a tower load reduction suggestion is generated based on the tower strength and the constraint conditions. Attached Figure Description

[0016] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0017] Figure 1 This is a schematic flowchart of a tower frequency optimization method according to an embodiment of this application.

[0018] Figure 2 This is a schematic flowchart of a tower frequency optimization method according to an embodiment of this application.

[0019] Figure 3 This is a schematic flowchart of a tower frequency optimization method according to an embodiment of this application.

[0020] Figure 4 This is a schematic flowchart of a tower frequency optimization method according to an embodiment of this application.

[0021] Figure 5 This is a schematic diagram showing the result of a tower frequency optimization method according to an embodiment of this application.

[0022] Figure 6 This is a schematic diagram showing the result of a tower frequency optimization method according to an embodiment of this application.

[0023] Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the various embodiments of this application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details have been provided in the various embodiments of this application to help readers better understand this application. However, the technical solutions claimed in this application can be implemented even without these technical details and various changes and modifications based on the following embodiments. The division of the various embodiments below is for the convenience of description and should not constitute any limitation on the specific implementation of this application. The various embodiments can be combined with and referenced by each other without contradiction.

[0025] In the description of this application, 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. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0026] In this embodiment, the tower includes at least one section, and each section includes at least one segment. The tower frequency optimization method includes: generating tower structural parameters based on tower design parameters; wherein the tower structural parameters include the number of segments, the length of each segment, and the diameter of each segment; generating the wall thickness of each segment based on tower load, tower performance, constraints, and the diameter of each segment; generating a first tower frequency based on a preset frequency verification algorithm, tower structural parameters, and the wall thickness of each segment; and optimizing the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency. This scheme automatically generates the entire process of tower frequency optimization based on a preset algorithm flow, thereby improving the optimization efficiency of tower frequency. At the same time, it calculates the tower frequency based on the tower structural parameters and the wall thickness of each section, and then optimizes the tower frequency by comparing it with the resonant frequency range. This allows the tower frequency optimization process to explore all possible wall thickness combinations, thereby improving the accuracy of the output tower frequency. Therefore, this scheme can effectively solve the technical problems of low optimization efficiency and insufficient accuracy of frequency optimization results caused by the reliance on human experience in related technologies.

[0027] The implementation details of the tower frequency optimization method according to the embodiments of this application are described below. The following implementation details are provided for ease of understanding and are not necessary for implementing this solution.

[0028] One embodiment of this application relates to a tower frequency optimization method, such as... Figure 1 As shown, the tower frequency optimization method in this embodiment includes steps 110 to 140, and the specific content and implementation details of each step are as follows.

[0029] In step 110, tower structural parameters are generated based on tower design parameters; wherein, tower structural parameters include the number of sections, the length of each section, and the diameter of each section.

[0030] Specifically, the wind turbine tower comprises multiple conical or straight sections connected sequentially from top to bottom. Each section includes upper and lower flanges and several conical or annular sections made of rolled and welded steel plates between the flanges. The sections are connected to each other and to the flanges by circumferential welding. The flanges can be L-shaped or T-shaped. The sections are connected by flanges and bolts. The number of sections and segments of the wind turbine tower must be greater than one.

[0031] Specifically, the tower design parameters include section design parameters and segment design parameters. The tower structural parameters mentioned in step 110 can be adopted as follows: Figure 2 The method shown includes: step 210, generating the number of cylinder segments, the length of each cylinder segment, and the diameter of each cylinder segment based on the cylinder segment design parameters; step 220, generating the number of cylinder sections and the length of each cylinder section based on the cylinder section design parameters and the length of each cylinder segment; and step 230, generating the diameter of each cylinder section based on the number of cylinder segments, the length of each cylinder segment, the diameter of each cylinder segment, the number of cylinder sections, and the length of each cylinder section.

[0032] Specifically, the design parameters for each section include hub height, foundation height, and maximum length of a single section. Hub height refers to the height of the wind turbine hub from the ground, foundation height refers to the height of the foundation platform at the bottom of the wind turbine, and maximum length of a single section refers to the maximum length of a single section of the tower. When generating the number of sections and the length of each section based on the design parameters, the actual height of the tower is first calculated using the hub height and foundation height. Then, the number of sections the tower needs to be divided into, the length of each section, and the diameter of each section are calculated by combining the maximum length of a single section and the actual height of the tower. That is, the number of sections, the length of each section, and the diameter of each section.

[0033] Specifically, the cylinder section design parameters can be the standard length of the cylinder section indicating the maximum length of the cylinder section. The number of cylinder sections required for a single cylinder section and the length of each cylinder section required for a single cylinder section can be calculated based on the length of the cylinder section corresponding to each cylinder segment. After the calculation of the number of cylinder sections and the length of each cylinder section corresponding to all cylinder segments is completed, the number of cylinder sections and the length of each cylinder section corresponding to each cylinder segment are combined to obtain the number of cylinder sections and the length of each cylinder section required for the entire tower.

[0034] Specifically, after obtaining the number of cylinder segments, the length of each cylinder segment, the diameter of each cylinder segment, the number of cylinder sections, and the length of each cylinder section, the corresponding diameter of each cylinder section can be generated using a preset tower diameter shape design method; alternatively, engineers can generate the corresponding diameter of each cylinder section by designing the diameter shape based on the above parameters. The generated diameter of each cylinder section is generated after considering factors in the production and transportation process, such as hoisting, logistics, and machine type. The generated diameter of each cylinder section can include the top diameter and the bottom diameter of the cylinder section.

[0035] In step 120, the wall thickness of each section is generated based on the tower load, tower performance, constraints, and diameter of each section.

[0036] Specifically, the wall thickness of each section mentioned in step 120 can be adopted as follows: Figure 3The method shown includes: step 310, for each cylinder section diameter, confirming whether the cylinder section to be verified meets the constraint conditions based on the preset cylinder section wall thickness, tower load, and tower performance, wherein the cylinder section to be verified is generated based on the cylinder section diameter and the cylinder section wall thickness; step 320, if the cylinder section to be verified meets the constraint conditions, then the cylinder section wall thickness is taken as the cylinder section wall thickness; step 330, if the cylinder section to be verified does not meet the constraint conditions, then the cylinder section wall thickness is recalculated based on the constraint conditions; wherein, either step 320 or step 330 is executed.

[0037] Specifically, the tower load includes the nose mass and tower wind load; tower performance includes steel plate material and fatigue rating; constraints include the diameter-to-wall-thickness ratio (d / t) limit and strength safety threshold. The nose mass refers to the sum of the masses of all components placed on the tower (such as the nacelle, hub, and blades); the tower wind load is calculated based on wind conditions and tower structure, and directly determines the required resistance of each section of the tower; the steel plate material determines the basic mechanical properties of the material, such as yield strength, tensile strength, and modulus of elasticity; and the fatigue rating refers to… The ability of tower materials to resist cyclic stress failure; the diameter-to-wall-thickness ratio d / t is a critical stability constraint. Even if the material strength is sufficient, if the wall thickness t is too small relative to the diameter d, the tower is prone to deformation. The d / t limit specifies the lower limit of the wall thickness, ensuring the overall stability of the tower structure; the strength safety threshold is a preset target strength based on design and project requirements during tower strength calculation, used to control wall thickness iteration. For example, if the set strength safety threshold is 1.1, and the strength value of the cylinder section is 0.9, then the strength of the cylinder section needs to be improved by increasing the wall thickness.

[0038] Specifically, the strength of the tower section includes ultimate strength, buckling strength, and fatigue strength. Ultimate strength ensures that the tower will not collapse under the worst conditions it may encounter during its life cycle, buckling strength prevents the tower from bending before reaching ultimate strength, and fatigue strength ensures that the tower will not be damaged by fatigue during its design life.

[0039] Specifically, the tower load, tower performance, and constraints are manually input into the software interface based on design requirements. After the tower load, tower performance, constraints, and diameter of each section are determined, the calculation process for the wall thickness corresponding to each section diameter includes: for each section diameter, a wall thickness to be verified is first preset; then, a section to be verified is generated based on the section diameter and the wall thickness; then, based on the wall thickness, tower load, and tower performance, the limit, buckling, and fatigue strength parameters, and the diameter-to-wall-thickness ratio d / t of the section to be verified are calculated to determine whether they meet the constraints; if they do not meet the constraints, the wall thickness of the section to be verified needs to be recalculated based on the constraints for iterative verification until the generated section to be verified meets the constraints; if they meet the preset constraints, the wall thickness of the section to be verified is taken as the wall thickness corresponding to the section diameter. After the wall thickness corresponding to each section diameter is calculated, the wall thickness of each section can be obtained.

[0040] Specifically, the constraints include a diameter-to-wall-thickness ratio (d / t) limit and a strength safety threshold. When recalculating the wall thickness of the section to be verified based on these constraints, for each section wall thickness requiring iteration, a new wall thickness is calculated based on the difference between the strength of the corresponding section and the strength safety threshold, along with the iteration interval. The calculated new wall thickness must also satisfy the diameter-to-wall-thickness ratio (d / t) limit. If the difference between the strength of the section and the strength safety threshold is negative, the new wall thickness is the original wall thickness plus the iterated wall thickness. If the difference between the strength of the section to be verified and the strength safety threshold is positive, then the new wall thickness of the section to be verified is the wall thickness of the section to be verified minus the iterated wall thickness. For example, with an iteration interval of 0.1, the current wall thickness of the section to be verified is 20, and the strength safety threshold is 1.1. If the calculated strength of the section to be verified is 0.9, then the calculated new wall thickness of the section to be verified is 20.1. If the strength of the section to be verified is 1.3, then the calculated new wall thickness of the section to be verified is 19.9. After obtaining the new wall thickness of the section to be verified, it is then determined whether the strength of the section corresponding to the new wall thickness meets the requirements.

[0041] In step 130, the first tower frequency is generated based on the preset frequency verification algorithm, tower structure parameters and wall thickness of each section.

[0042] Specifically, the frequency of the first tower section can be obtained by combining a frequency verification algorithm with relevant parameters; the frequency verification algorithm can be an engineering algorithm or a finite element method. In the frequency verification algorithm, f i Let E be the frequency of the first tower, E be the elastic modulus of the tower steel plate, ν be the Poisson's ratio of the tower steel plate, and F be the elastic modulus of the first tower. S h represents the rigidity of the foundation platform at the bottom of the wind turbine. h h is the hub height. fThe height of the foundation platform at the bottom of the wind turbine, in meters (m). RNA The weight of the machine head is ρ, the material density of the cylinder section is l. j Let j be the length of the j-th section. Let be the diameter of the top of the j-th section. Let t be the bottom diameter of the j-th section. ij Let be the wall thickness of the j-th section in the i-th iteration, j∈[1,n], where n is the number of sections. The frequency verification algorithm uses the following expression.

[0043] .

[0044] In step 140, the first tower frequency is optimized based on the first tower frequency and a preset resonant frequency range to generate the second tower frequency.

[0045] Specifically, the preset resonant frequency range is: , where f mp Let f be the frequency caused by the rotation of m impellers. mp =m×L p m is the total number of wind turbine rotors, L p R is the impeller rotation frequency; mp This is to avoid f mp The ratio range is set to a specific ratio value, typically R. mp The value usually needs to be greater than or equal to 5%, and the specific value can be set according to actual needs, as long as it can effectively avoid frequencies.

[0046] Specifically, the frequency of the second tower mentioned in step 140 can be adopted as follows: Figure 4 The method shown includes: step 410, determining whether the frequency of the first tower section is within the resonant frequency range; step 420, when the frequency of the first tower section is within the resonant frequency range, adjusting the wall thickness of each section and recalculating the frequency of the first tower section based on the adjusted wall thickness; step 430, when the frequency of the first tower section is not within the resonant frequency range, outputting the frequency of the first tower section as the frequency of the second tower section; wherein, either step 420 or step 430 is executed.

[0047] Specifically, Figure 5 The initial tower frequency and wall thickness of each section are shown. During the tower frequency optimization process, when the target tower is a rigid tower, the target frequency f is... target =f mp (1+R) mp The termination condition for tower frequency optimization is the first tower frequency f. i The frequency must be greater than the target frequency; when the tower target is a flexible tower, the target frequency f target =f mp(1-R) mp The termination condition for tower frequency optimization is the first tower frequency f. i The frequency must be less than the target frequency. Therefore, in the process of optimizing the tower frequency, it is first necessary to determine the current first tower frequency f. i Whether it is within the resonant frequency range; if it is within the resonant frequency range, it indicates that the first tower frequency f i The iteration termination condition has not been met. It is necessary to adjust the wall thickness of each cylinder section and recalculate the first tower frequency f based on the adjusted wall thickness of each cylinder section. i The first tower frequency f is recalculated and re-evaluated. i Whether it is within the resonant frequency range; if it is not within the resonant frequency range, it indicates that the first tower frequency f i The iteration termination condition has been met, and the current first tower frequency f can be set. i As the second tower frequency output; where the first tower frequency f i In this context, 'i' represents the iteration number; Figure 6 The results show the frequency of the first tower section and the wall thickness of each section after this step of iterative optimization.

[0048] Specifically, the process of adjusting the wall thickness of each section includes: setting differential intervals for wall thickness. In the tower, a single target section is selected from bottom to top. The wall thickness of the target section is adjusted using a differential interval of wall thickness, while the wall thicknesses of other sections remain unchanged. The adjusted wall thickness of the target section and the wall thicknesses of other sections are then used in the frequency verification algorithm to generate the third tower frequency f. ij Based on the third tower frequency f ij The first tower frequency f i Differential interval of wall thickness Length of each section l j and the diameter d of each cylinder section j Generate parameters affecting each frequency. Determine the frequency iteration direction of the tower and the influence parameters of each frequency. The process generates target frequency influence parameters; peak normalization is performed on the target frequency influence parameters to generate wall thickness adjustment ratios; and adjustments are made according to preset wall thickness adjustment intervals. Wall thickness adjustment ratio R ij The wall thickness of each section is adjusted according to the tower frequency iteration direction; after obtaining the latest wall thickness of each section, it is substituted into the previous frequency verification algorithm to obtain the recalculated first tower frequency f. i .

[0049] Specifically, the formula for the frequency influence parameter is: ,in, For the parameters affecting each frequency, f ij f is the frequency of the third tower.i The frequency of the first tower, For the differential interval of wall thickness, l j Let d be the length of each section. j Let be the diameter of the middle section of the j-th section; where is the frequency influence parameter. It can reflect the influence and sensitivity of different cylinder wall thickness variations on tower frequency. For numerical accuracy considerations, the differential interval of wall thickness is... The value can be 0.01 mm.

[0050] Specifically, the diameter of the middle section of the cylinder is calculated using the formula... Obtain, among which, Let be the diameter of the top of the j-th section. Let be the bottom diameter of the j-th section.

[0051] Specifically, when generating the frequency influence parameters of the tower by combining the frequency influence parameter formula and the tower frequency iteration direction, the tower frequency iteration direction can also be considered. When the tower frequency iteration direction is positive (the wall thickness increases with each iteration), it indicates that the tower target is a rigid tower, and the frequency influence parameter formula adopts the following form.

[0052]

[0053] Specifically, when generating the frequency influence parameters of the tower by combining the frequency influence parameter formula and the tower frequency iteration direction, the tower frequency iteration direction can also be considered. When the tower frequency iteration direction is negative (reducing the wall thickness with each iteration), it indicates that the tower target is a flexible tower, and the frequency influence parameter formula is: .

[0054] Specifically, after the frequency influence parameters of the tower are generated, these parameters are processed to generate wall thickness adjustment ratio correction parameters. Among them, the wall thickness adjustment ratio correction parameter is the maximum absolute value among the frequency influence parameters, that is: .

[0055] Specifically, once the wall thickness adjustment ratio correction parameters for each cylinder section are determined, peak normalization processing is performed on these parameters to generate the wall thickness adjustment ratio R. ij Peak normalization can be achieved using the formula... Description; where R ij To adjust the wall thickness ratio, Let j be the frequency influence parameter of the j-th section. The wall thickness adjustment ratio correction parameter for the j-th section.

[0056] Specifically, for rigid towers, when the following occurs When the frequency influence parameter corresponding to the cylinder section is 0, the wall thickness adjustment ratio corresponding to the cylinder section is also 0. This can eliminate cylinder sections where increasing the wall thickness will cause the frequency to drop, thereby ensuring that the adjustment always increases the frequency in a positive direction and avoiding the problem of insufficient strength that may be caused by trying to thin these parts. At the same time, because it has little impact on the overall weight, the optimization can be focused on key areas, further improving the efficiency of tower frequency optimization.

[0057] Specifically, when the tower frequency iteration direction is positive, it indicates that the tower target is a rigid tower, and in this case, it is necessary to adjust the formula according to the wall thickness. The wall thickness of each section of the rigid tower is adjusted. When the tower frequency iteration direction is negative, it indicates that the target tower is a flexible tower, and in this case, the wall thickness adjustment formula needs to be applied. The wall thickness of each section of the flexible tower is adjusted; among them, Let be the wall thickness of the j-th section during the (i+1)-th round of frequency iteration. Let be the wall thickness of the j-th section during the i-th round of frequency iteration. R is the wall thickness adjustment interval. ij This represents the wall thickness adjustment ratio; for numerical accuracy considerations, the wall thickness adjustment interval is... The value can be 0.01 mm.

[0058] Specifically, the method used in the section wall thickness adjustment process involves quantitatively analyzing the sensitivity of changes in the wall thickness of each section to the overall tower frequency, and then adjusting the wall thickness differentially and proportionally based on this sensitivity weight. This process transforms the traditional experience-based, blind, and uniform adjustment into a data-driven, precise, and targeted optimization. It achieves the most efficient frequency offset control with the minimum total wall thickness adjustment, thereby minimizing unnecessary material redundancy while ensuring frequency avoidance requirements, significantly optimizing the overall tower weight and manufacturing cost, and greatly improving the efficiency and accuracy of frequency optimization results.

[0059] Specifically, as mentioned earlier, the tower structure parameters also include the number of sections in each tower segment. After the first tower frequency meets the iteration termination condition, the first tower frequency that meets the iteration termination condition is output as the second tower frequency. Then, the weight of each tower segment can be calculated by combining the number of sections, length, diameter, and wall thickness of each section. It is also determined whether there are any sections in the tower that do not meet the preset weight range. If there are any sections that do not meet the preset weight range, the length of each section needs to be readjusted based on the weight range and the weight of each section. The recalculated length of each section is then substituted into the frequency verification algorithm to recalculate the first tower frequency and perform tower frequency optimization iteration. If the mass of each section meets the preset weight range, the second tower frequency can continue to be output.

[0060] Specifically, after generating the second tower frequency, this application can incorporate the logistics and hoisting constraints in actual engineering into the tower frequency optimization iteration process as constraints. This ensures that the optimal solution for the tower frequency and segment weight generated by automatic iteration is not only mathematical but also an engineering feasible solution that can be directly manufactured, transported, and installed, thus achieving a key leap from theoretical optimization to practical implementation.

[0061] Specifically, after the first tower frequency meets the iteration termination condition, the first tower frequency that meets the iteration termination condition is output as the second tower frequency. When the tower target is a rigid tower, the influence of rotational inertia on the tower frequency was not considered in the previous engineering calculations or finite element method calculations of the first tower frequency. Therefore, the second tower frequency needs to be adjusted based on the preset rotational inertia, and the wall thickness of each section needs to be adjusted based on the preset manufacturing accuracy parameters (i.e., steel plate manufacturing accuracy, which can be 0.1mm) to ensure that the output second tower frequency and the corresponding section wall thickness have both engineering manufacturability and reliability. At the same time, when the tower target is a flexible tower, since the section wall thickness is gradually reduced during the iteration process, the section strength may not be able to meet the original load after the iteration is completed. Therefore, the tower strength needs to be recalculated based on the section wall thickness, tower load and tower performance, and a tower load reduction suggestion is generated based on the recalculated tower strength and the strength safety threshold in the constraint conditions. This provides a clear and safe engineering implementation path for achieving tower weight reduction.

[0062] In this embodiment, the tower includes at least one section, and each section includes at least one segment. The tower frequency optimization method includes: generating tower structural parameters based on tower design parameters; wherein the tower structural parameters include the number of segments, the length of each segment, and the diameter of each segment; generating the wall thickness of each segment based on tower load, tower performance, constraints, and the diameter of each segment; generating a first tower frequency based on a preset frequency verification algorithm, tower structural parameters, and the wall thickness of each segment; and optimizing the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency. This scheme automatically generates the entire process of tower frequency optimization based on a preset algorithm flow, thereby improving the optimization efficiency of tower frequency. At the same time, it calculates the tower frequency based on the tower structural parameters and the wall thickness of each section, and then optimizes the tower frequency by comparing it with the resonant frequency range. This allows the tower frequency optimization process to explore all possible wall thickness combinations, thereby improving the accuracy of the output tower frequency. Therefore, this scheme can effectively solve the technical problems of low optimization efficiency and insufficient accuracy of frequency optimization results caused by the reliance on human experience in related technologies.

[0063] The steps described above are for clarity only. In practice, they can be combined into one step or some steps can be split into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this application. Adding insignificant modifications or introducing insignificant designs to the algorithm or process, but without changing the core design of the algorithm and process, are also within the scope of protection of this application.

[0064] Furthermore, the examples mentioned in the above embodiments can be freely combined, and any combination can be understood as an embodiment. The terms "embodiment" or "example" appearing in various locations in the specification do not necessarily refer to the same embodiment, nor are they independent or alternative embodiments mutually exclusive with other embodiments. Those skilled in the art will understand that the embodiments described herein can be combined with other embodiments.

[0065] Another embodiment of the present invention relates to an electronic device, such as... Figure 7 As shown, it includes at least one processor 710; and a memory 720 communicatively connected to at least one processor 710; wherein the memory 720 stores instructions executable by at least one processor 710, the instructions being executed by at least one processor 710 to enable at least one processor 710 to execute the above-described embodiments of the tower frequency optimization method.

[0066] The memory and processor are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors and memories. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits. A bus interface provides an interface between the bus and the transceiver. The transceiver can be a single component or multiple components, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor is transmitted over the wireless medium via an antenna, which further receives data and transmits it back to the processor.

[0067] The processor manages the bus and general processing, and also provides various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory is used to store data used by the processor during operation.

[0068] This application also relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the embodiments corresponding to the above-described tower frequency optimization method or tower shape design method.

[0069] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0070] Those skilled in the art will understand that the above embodiments are specific embodiments for implementing this application, and in practical applications, various changes can be made to them in form and detail without departing from the spirit and scope of this application.

Claims

1. A method for optimizing tower frequency, characterized in that, The tower comprises at least one section, and the section comprises at least one segment; the method includes: Tower structural parameters are generated based on tower design parameters; wherein, the tower structural parameters include the number of tower sections, the length of each tower section, and the diameter of each tower section; Based on the tower load, tower performance, constraints, and diameter of each section, the wall thickness of each section is generated; Based on the preset frequency verification algorithm, the tower structure parameters and the wall thickness of each section, a first tower frequency is generated. The first tower frequency is optimized based on the first tower frequency and a preset resonant frequency range to generate a second tower frequency.

2. The tower frequency optimization method according to claim 1, characterized in that, The process of generating the wall thickness of each section based on tower load, tower performance, constraints, and the diameter of each section includes: For each of the cylindrical sections, the constraint conditions are confirmed based on the preset wall thickness of the cylindrical section to be verified, the tower load, and the tower performance. The cylindrical section to be verified is generated based on the cylindrical section diameter and the wall thickness of the cylindrical section to be verified. If the cylinder section to be checked meets the constraint conditions, then the wall thickness of the cylinder section to be checked is taken as the cylinder section wall thickness; If the section to be checked does not meet the constraints, the wall thickness of the section to be checked is recalculated based on the constraints.

3. The tower frequency optimization method according to claim 1, characterized in that, The expression for the frequency verification algorithm is: In the frequency verification algorithm, f i Let E be the frequency of the first tower, E be the elastic modulus of the tower steel plate, ν be the Poisson's ratio of the tower steel plate, and F be the elastic modulus of the first tower. S h is the stiffness of the tower foundation. h h is the hub height. f The height of the tower foundation is in meters (m). RNA The weight of the machine head is ρ, the material density of the cylinder section is l. j Let j be the length of the j-th section. Let be the diameter of the top of the j-th section. Let t be the bottom diameter of the j-th section. ij Let be the wall thickness of the j-th section in the i-th iteration, where j∈[1,n] and n is the number of sections.

4. The tower frequency optimization method according to any one of claims 1-3, characterized in that, The step of optimizing the first tower frequency based on the first tower frequency and a preset resonant frequency range to generate the second tower frequency includes at least one of the following operations: When the frequency of the first tower section is within the resonant frequency range, the wall thickness of each section is adjusted, and the frequency of the first tower section is recalculated based on the adjusted wall thickness of each section. When the frequency of the first tower is not within the resonant frequency range, the frequency of the first tower is output as the frequency of the second tower.

5. The tower frequency optimization method according to claim 4, characterized in that, The adjustment of the wall thickness of each of the cylindrical sections includes: The wall thickness of each target cylinder section is individually adjusted based on the preset wall thickness differential interval, and the frequency of each third tower section is generated based on the wall thickness of other cylinder sections and the adjusted target cylinder section wall thickness. Based on the frequencies of the third tower sections, the frequencies of the first tower sections, the differential intervals of the wall thickness, the lengths of the sections, the diameters of the sections, and the frequency iteration direction of the tower sections, parameters affecting each frequency are generated. The frequency-affecting parameters are processed to generate wall thickness adjustment ratio correction parameters; The wall thickness adjustment ratio correction parameter is subjected to peak normalization processing to generate the wall thickness adjustment ratio. The wall thickness of each section is adjusted according to the preset wall thickness adjustment interval, the wall thickness adjustment ratio, and the tower frequency iteration direction.

6. The tower frequency optimization method according to claim 5, characterized in that, The generation of frequency influence parameters based on the third tower frequency, the first tower frequency, the wall thickness differential interval, the length of each tower section, the diameter of each tower section, and the tower frequency iteration direction includes: Based on the preset frequency influence parameter formula Based on the frequency iteration direction of the tower, generate each frequency influence parameter; Wherein, in the formula for the frequency influence parameter For each of the frequency-affecting parameters, f ij f is the frequency of the third tower. i The frequency of the first tower is... Let l be the differential interval of the wall thickness. j Let d be the length of each of the aforementioned sections. j Let be the diameter of the middle section of the j-th section.

7. The tower frequency optimization method according to any one of claims 1-3, characterized in that, The tower structure parameters also include the number of sections in each of the tower segments; the generation of the second tower frequency further includes: The weight of each cylinder segment is generated based on the number of cylinder sections, the length of each cylinder section, the diameter of each cylinder section, and the wall thickness of each cylinder section. When there is a segment whose weight does not conform to the preset weight range, the length of each segment is adjusted based on the weight range and the weight of each segment. The frequency of the first tower section is recalculated based on the adjusted lengths of each section.

8. The tower frequency optimization method according to any one of claims 1-3, characterized in that, The generation of the second tower frequency is followed by at least one of the following operations: When the tower is a rigid tower, the frequency of the second tower is adjusted based on a preset moment of inertia, and the wall thickness of each section is adjusted based on preset manufacturing precision parameters. When the tower is a flexible tower, the tower strength is generated based on the wall thickness of each section, the tower load, and the tower performance, and a tower load reduction suggestion is generated based on the tower strength and the constraint conditions.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the tower frequency optimization method as described in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the tower frequency optimization method as described in any one of claims 1 to 8.

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