Axial force analysis method, device and equipment of wind power bolt and storage medium

Abstract

The invention provides an axial force analysis method, device and equipment for a wind power bolt and a storage medium, and relates to the technical field of bolt detection and control, accurate calculation and dynamic adjustment of axial force are achieved by dividing environment load intervals and combining dynamic data of wave loads, and the stability of the wind power loads is considered while the stability of the wind power loads is improved. The dynamic change of the wave load is particularly concerned, and the fine tuning index is constructed by setting the division threshold value of the wave load and calculating the change coefficient, so that the real-time adjustment of the representative value of the axial force is realized, the accuracy and adaptability of the analysis of the axial force are improved, and the safety monitoring of the wind power bolt is more refined; and an axial force warning threshold value and an alarm strategy are introduced, so that the safety performance of the wind power bolt in a complex environment is further enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of bolt detection and control, and in particular to an axial force analysis method, device, equipment and storage medium for wind power bolts. Background Art

[0002] As an efficient and sustainable form of energy, offshore wind power technology is developing rapidly. Offshore wind turbines, especially their key components, wind power bolts, are subject to complex and changeable environmental loads, including wind loads and wave loads. The dynamic changes of these loads put forward higher requirements for the axial force analysis of wind power bolts. Traditional axial force analysis methods mainly rely on static load assumptions and simplified load models. These methods have obvious limitations when dealing with complex environmental loads. For example, existing technologies often ignore the dynamic characteristics of wave loads and their impact on axial force, resulting in insufficient accuracy and reliability of axial force analysis results. In addition, existing methods lack flexibility and adaptability in dealing with variable environmental loads, and cannot effectively reflect the changes in axial force in actual operation, thus affecting the safety monitoring and maintenance decisions of wind power bolts.

[0003] How to divide the wave load through the threshold and calculate the coefficient of variation to construct the corresponding fine-tuning index, so as to achieve real-time adjustment of the axial force representative value is one aspect that needs to be improved. How to introduce the axial force warning threshold and alarm strategy, and further set the alarm strategy for wind power bolts in complex environments is another progressive aspect that needs to be improved at present.

[0004] The above information disclosed in the above Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The object of the present invention is to provide an axial force analysis method, device, equipment and storage medium for wind power bolts to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The axial force analysis method of wind power bolts includes the following specific steps:

[0008] Step S1: Divide the environmental load on the wind power bolt into multiple intervals in order of size to form a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load;

[0009] Step S2: Calculate the axial force of the wind power bolt in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain a set of axial force representative values ​​{F1, F2, ..., F i , …, F n}, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval;

[0010] Step S3: In the i-th environmental load interval, under the premise of determining that the wind load is in a stable state, collect several different wave load data, and mark these data in sequence to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, where B i,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, B i,m represents the mth wave load value of the wind power bolt in the i-th environmental load interval, and m is an even number, B i,1 <B i,2 ,…,<B i,j ,…,<B i,m ;

[0011] Step S4: In the i-th environmental load interval, set B i,m / 2 is the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, and according to B i,m / 2 The wave load set is divided into low load sets {B i,1 , B i,2 , …, B i,m / 2} and high load set {B i,1+m / 2 , …, B i,m}, calculate the average variation between adjacent wave load values ​​in the low load set and the high load set respectively, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn.

[0012] Step S5: Analyze the first variation coefficient and the second variation coefficient to construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ;

[0013] Step S6: According to the design load and safety factor of the wind power bolt, determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max ,…,F i,max , …, F n,max}, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max It represents the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, the axial force warning threshold of the wind power bolt in the i-th environmental load interval is set as JZ i , and JZ i <F i,max ;

[0014] Step S7: Determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold to obtain the comparison and analysis results, and combine the comparison and analysis results with the fine-tuning index to generate the axial force status alarm strategy for the current wind turbine bolt in this range.

[0015] Furthermore, the fine-tuning index under the i-th environmental load interval is defined as Wt i , the specific formula is as follows:

[0016]

[0017] Among them, α is the weight coefficient of the low load set, 0.12≤α≤0.48, 1-α is the weight coefficient of the high load set, and α<1-α, γ is the attenuation coefficient of the exponential function, 0.08≤γ≤0.87;

[0018] Define the adjusted axial force representative value F ti The formula is as follows:

[0019] F ti =F i ×(1+Wt i )

[0020] Limit the value range of the fine-tuning index to (0, 1);

[0021] When the fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the changes between the low load set and the high load set are small, which leads to the adjustment range of the axial force representative value within 33%, reflecting that the influence of the wave load on the bolt axial force is within 10%;

[0022] When the fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the changes of low load set and high load set are moderate, which leads to the adjustment range of the representative value of axial force between 33% and 67%, reflecting that the influence of wave load on bolt axial force is between 10% and 20%;

[0023] When the fine-tuning index Wt i When the value is in the interval of (0.67, 1), it means that the changes in the low load set and the high load set are significant, which leads to the adjustment range of the representative value of the axial force being above 67%, reflecting that the influence of the wave load on the axial force of the bolt is more than 20%.

[0024] Furthermore, the warning threshold JZ i The steps to obtain it are as follows:

[0025] In the i-th environmental load interval, the design load F of the wind turbine bolt is obtained in advance design,i and safety factor SF i , to calculate the maximum allowable axial force F in each load range i,max , the calculation formula is as follows:

[0026]

[0027] Among them, F i,max is the maximum allowable axial force under the i-th environmental load range; F design,i is the wind turbine bolt design load under the i-th environmental load range; SF i is the safety factor under the i-th environmental load interval;

[0028] According to the calculated maximum allowable axial force set {F 1,max , F 2,max ,…,F i,max , …, F n,max}, set the warning threshold of each load interval, the specific formula is as follows:

[0029] JZ i =F i,max ×(1-δ)

[0030] Among them, δ is the warning coefficient, 0.05≤δ≤0.3;

[0031] When the fine-tuning index Wt i When the value is in the interval (0,0.33], δ∈[0.05,0.1];

[0032] When the fine-tuning index Wt i When the value is in the interval (0.33,0.67], δ∈(0.1,0.2];

[0033] When the fine-tuning index Wt i When the value is in the interval (0.67,1), δ∈(0.2,0.3].

[0034] Furthermore, by combining the comparison analysis results with the fine-tuning index, an axial force state alarm strategy for the current wind power bolt in the i-th environmental load interval is generated, specifically including:

[0035] 1) When F ti ≥JZ i hour:

[0036] Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value exceeds the warning threshold by less than 3%, and the influence of the wave load on the bolt axial force is less than 10%. The alarm strategy is to issue a low alarm, which requires increasing the current inspection frequency by 10%, and no immediate measures are required;

[0037] Fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the current axial force representative value exceeds the warning threshold by 3% to 10%, and the influence of wave load on the bolt axial force is between 10% and 20%. The alarm strategy is to issue a medium alarm, and the current inspection frequency needs to be increased by more than 25%;

[0038] Fine-tuning index Wt i When the value is in the interval (0.67,1), it means that the current axial force representative value exceeds the warning threshold by more than 10%, and the influence of the wave load on the bolt axial force is more than 20%. The alarm strategy is to issue a high alarm. Specifically, it is necessary to conduct a detailed inspection immediately and take emergency measures to prevent bolt failure. Emergency measures include immediate load reduction or replacement of bolts.

[0039] 2) When F ti <JZ i hour:

[0040] Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value is far below the warning threshold, the wave load has little impact, and the alarm strategy is no alarm;

[0041] Fine-tuning index Wt i When the value is in the range of (0.33, 0.67], it means that the current axial force representative value is lower than the warning threshold, but the wave load has a strong impact. The alarm strategy is to prompt the alarm. Specifically, the current inspection frequency needs to be increased by 5% to remind maintenance personnel to pay attention to the current axial force status and maintain regular monitoring; record and analyze the potential impact of wave loads on bolts so as to adjust the maintenance plan in time;

[0042] Fine-tuning index Wti When the value is in the interval of (0.67,1), it means that the current representative value of the axial force is close to the warning threshold, the influence of the wave load on the bolt axial force is more than 20%, and the alarm strategy is a low alarm, shortening the current inspection cycle by 15%, and preparing preventive measures.

[0043] A wind power bolt axial force analysis device, the device is used to perform a wind power bolt axial force analysis method, comprising:

[0044] Interval division module: used to divide the environmental load on the wind power bolt into multiple intervals in order of size, forming a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load;

[0045] Axial force calculation module: used to calculate the axial force of wind power bolts in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain the axial force representative value set {F1, F2, ..., F i , …, F n}, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval;

[0046] Wave load set building module: It is used to collect several different wave load data in the i-th environmental load interval, under the premise of ensuring that the wind load is in a stable state, and mark these data in sequence to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, where B i,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, B i,m represents the mth wave load value of the wind power bolt in the i-th environmental load interval, and m is an even number, B i,1 <B i,2 ,…,<B i,j ,…,<B i,m ;

[0047] Variation coefficient generation module: used to set B in the i-th environmental load interval i,m / 2 is the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, and according to B i,m / 2 The wave load set is divided into low load sets {Bi,1 , B i,2 , …, B i,m / 2} and high load set {B i,1+m / 2 , …, B i,m}, calculate the average variation between adjacent wave load values ​​in the low load set and the high load set respectively, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn.

[0048] Index generation module: used to analyze the first variation coefficient and the second variation coefficient and construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ;

[0049] Warning threshold generation module: used to determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max ,…,F i,max , …, F n,max}, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max Indicates the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, sets the axial force warning threshold of the wind power bolt in the i-th environmental load interval to JZi, and JZi<Fi,max;

[0050] Alarm strategy construction module: It is used to determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold, and obtain the comparison and analysis results. Combining the comparison and analysis results with the fine-tuning index, the axial force status alarm strategy of the current wind turbine bolt in this range is generated.

[0051] A device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the axial force analysis method of wind power bolts when executing the computer program.

[0052] A readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the axial force analysis method of the wind power bolt are implemented.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows: by dividing the environmental load intervals and combining the dynamic data of the wave load, the accurate calculation and dynamic adjustment of the axial force are achieved. While considering the stability of the wind load, special attention is paid to the dynamic changes of the wave load. By setting the division threshold of the wave load and the calculation change coefficient, a fine-tuning index is constructed, thereby realizing real-time adjustment of the representative value of the axial force, improving the accuracy and adaptability of the axial force analysis, and making the safety monitoring of wind power bolts more refined. In addition, the axial force warning threshold and alarm strategy are introduced to further enhance the safety performance of wind power bolts in complex environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0055] Figure 2 It is a system module block diagram of the present invention. DETAILED DESCRIPTION

[0056] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0057] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0058] Embodiment 1:

[0059] See also Figure 1 , the present invention provides a technical solution:

[0060] Axial force analysis method for wind power bolts, which is applied to wind power bolts of offshore wind turbines, includes the following specific steps:

[0061] Step S1: Divide the environmental load on the wind power bolt into multiple intervals in order of size to form a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load;

[0062] Step S2: Calculate the axial force of the wind power bolt in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain a set of axial force representative values ​​{F1, F2, ..., F i , …, F n}, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval;

[0063] Step S3: In the i-th environmental load interval, under the premise of determining that the wind load is in a stable state, collect several different wave load data, and mark these data in sequence to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, where B i,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, B i,m represents the mth wave load value of the wind power bolt in the i-th environmental load interval, and m is an even number, B i,1 <B i,2 ,…,<B i,j ,…,<B i,m ;

[0064] Step S4: In the i-th environmental load interval, set B i,m / 2 is the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, and according to B i,m / 2 The wave load set is divided into low load sets {B i,1 , B i,2 , …, B i,m / 2} and high load set {B i,1+m / 2 , …, B i,m}, calculate the average variation between adjacent wave load values ​​in the low load set and the high load set respectively, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn.

[0065] Step S5: Analyze the first variation coefficient and the second variation coefficient to construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ;

[0066] Step S6: According to the design load and safety factor of the wind power bolt, determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max ,…,F i,max , …, F n,max}, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max It represents the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, the axial force warning threshold of the wind power bolt in the i-th environmental load interval is set as JZ i , and JZ i <F i,max ;

[0067] Step S7: Determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold to obtain the comparison and analysis results, and combine the comparison and analysis results with the fine-tuning index to generate the axial force status alarm strategy for the current wind turbine bolt in this range.

[0068] To further illustrate, the steps for obtaining the load interval set {1, 2, ..., i, ..., n} are as follows:

[0069] 1) Install wind speed sensors, wind direction sensors, wave height sensors and wave period sensors in the surrounding environment of offshore wind turbines;

[0070] 2) Continuously collect data through sensors over a one-month period to record wind load data and wave load data;

[0071] For the calculation and acquisition of wind load data and wave load data, the following data preprocessing is performed:

[0072] Noise removal: Use moving average filtering or Kalman filtering to smooth the collected wind speed and direction data and remove noise;

[0073] Missing data filling: If there is missing data, use linear interpolation or other methods to fill it;

[0074] For wind load data, wind force calculation is performed based on wind speed and wind direction, combined with the geometric characteristics of the wind turbine and aerodynamic principles, and then the wind force component calculation is performed on the obtained wind force value to obtain wind load data;

[0075] For wave load data, according to the wave height and period, combined with the wave theory model, this embodiment is a linear wave theory, and the wave force is calculated using a formula. The wave force is calculated and decomposed into horizontal and vertical components. The specific component calculation is determined according to actual needs. The calculated wave force components are used as wave load data for storage and management, so as to be used for subsequent analysis;

[0076] 3) Transmitting the collected data to a central data storage unit for storage and management;

[0077] 4) Extract wind load and wave load data from the stored data;

[0078] Use moving average filtering or Kalman filtering to smooth the data and remove noise;

[0079] If there is missing data, linear interpolation method is used to fill it;

[0080] Normalize the data to the (0.1) interval for easy subsequent processing;

[0081] Calculate the mean μ and standard deviation σ:

[0082] Mean μ calculation:

[0083]

[0084] Calculation of standard deviation σ:

[0085]

[0086] Among them, N' is the total number of data, x i′ is the i′th environmental load data point, and x i′ The wind load and wave load data are integrated by weighted average method to obtain a comprehensive load data, in which the weight distribution of wind load and wave load is 6:4. Please refer to the following example for details:

[0087]

[0088] Among them, F i′ is the comprehensive load data, F wind,i′ is the average wind load of the i′th data point, F wave,i′ is the average value of wave load at the i′th data point;

[0089] Standard score calculation:

[0090]

[0091] According to the standard score Z i′ Divide the data into n intervals, and select the following method for division:

[0092] Z i′ Data in the range of [-1,1] are classified as an interval;

[0093] Z i′ The data in the range of [-2,-1] and [1,2] are each classified as an interval;

[0094] By analogy, the specific number of intervals n is determined by specific application requirements;

[0095] The divided intervals are numbered in sequence to form a load interval set {1, 2, ..., i, ..., n}; the numbering is performed in ascending order;

[0096] The representative value set of axial force {F1, F2, ..., F i , …, F n The generation steps are as follows:

[0097] Calculate wind and wave loads using the following formulas:

[0098]

[0099]

[0100] Among them, F wind,i is the average wind load in the i-th environmental load interval, ρ air is the air density, A blade is the frontal area of ​​the blade, v wind,i is the average wind speed in the ith environmental load interval, C d,wind is the wind resistance coefficient; F wave,i is the average wave load in the ith environmental load interval, ρ water is the water density, g is the acceleration due to gravity, H wave,i is the average wave height under the i-th environmental load interval;

[0101] Calculate the axial force using the following formula:

[0102] F i =F wind,i ·cos(θ wind,i )+F wave,i ·cos(θ wave,i )

[0103] Among them, F iis the axial force in the i-th environmental load interval, θ wind,i is the average angle between the wind direction and the bolt axis in the i-th environmental load interval, θ wave,i is the average angle between the wave direction and the bolt axis in the i-th environmental load interval;

[0104] Among them, F wind,i 、v wind,i 、F wave,i , H wave,i ,θ wind,i ,θ wave,i The value selection strategy of is to use the corresponding parameter average value under the current i-th environmental load interval;

[0105] The axial force calculated in each load interval is stored as a set of axial force representative values ​​{F1, F2, ..., F i , …, F n}.

[0106] Further explanation: for the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m}, the specific acquisition steps include:

[0107] In the i-th environmental load interval, high-precision wind speed and wind direction sensors are used to monitor wind load conditions in real time;

[0108] The threshold ranges of wind speed and wind direction in the current i-th environmental load interval are set respectively (the threshold ranges are determined by the expert group through experimental data). When the changes of wind speed and wind direction are within the set threshold ranges, the wind load is in a stable state. When the changes of wind speed and wind direction are not within the set threshold ranges, the collection of wave load data is suspended and the wind load condition is waited to return to a stable state.

[0109] Before collecting wave load data, the wind load condition is monitored for a period of time T1 to ensure that the wind load condition remains stable during the collection period. In this embodiment, T1 is 0.5 hours.

[0110] Under the premise of stable wind load conditions, wave sensors are used to collect wave load data m times in the i-th environmental load interval;

[0111] The collected wave load data are sequentially marked to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m};

[0112] Store and manage the sorted wave load data in a database;

[0113] The average variation between adjacent wave load values ​​in the low load set and the high load set are calculated respectively, and the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set are obtained in turn, specifically including:

[0114] Calculate the average change for the low load set:

[0115]

[0116] Where, ΔB low represents the average change of the low load set in the i-th environmental load interval, B i,j+1 , B i,j represents the low load set {B i,1 , B i,2 , …, B i,m / 2}adjacent wave load values ​​in ;

[0117] Compute the average change for the high load set:

[0118]

[0119] Where, ΔB high,i represents the average change of the corresponding high load set in the i-th environmental load interval, B i,j+1 , B i,j Represents a high load set {B i,1+m / 2 , …, B i,m}adjacent wave load values ​​in ;

[0120] According to the average change obtained above, calculate the coefficient of change of the low load set and the high load set:

[0121] Calculate the first coefficient of variation for the low load set:

[0122]

[0123] Among them, C low,i represents the first variation coefficient of the corresponding low load set in the i-th environmental load interval;

[0124] Calculate the second coefficient of variation for the high load set:

[0125]

[0126] Among them, C high,i Represents the second variation coefficient of the high load set in the i-th environmental load interval.

[0127] Further explanation: the fine-tuning index under the i-th environmental load interval is defined as Wt i , the specific formula is as follows:

[0128]

[0129] Among them, α is the weight coefficient of the low load set, 0.12≤α≤0.48, 1-α is the weight coefficient of the high load set, and α<1-α, γ is the attenuation coefficient of the exponential function, 0.08≤γ≤0.87;

[0130] Define the adjusted axial force representative value F ti The calculation formula is as follows:

[0131] F ti =F i ×(1+Wt i )

[0132] Limit the value range of the fine-tuning index to (0, 1);

[0133] When the fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the changes between the low load set and the high load set are small, which leads to the adjustment range of the axial force representative value within 33%, reflecting that the influence of the wave load on the bolt axial force is within 10%;

[0134] When the fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the changes of low load set and high load set are moderate, which leads to the adjustment range of the representative value of axial force between 33% and 67%, reflecting that the influence of wave load on bolt axial force is between 10% and 20%;

[0135] When the fine-tuning index Wt i When the value is in the interval of (0.67, 1), it means that the changes in the low load set and the high load set are significant, which leads to the adjustment range of the representative value of the axial force being above 67%, reflecting that the influence of the wave load on the axial force of the bolt is more than 20%.

[0136] Further explanation: the warning threshold JZ i The steps to obtain it are as follows:

[0137] In the i-th environmental load interval, the design load F of the wind turbine bolt is obtained in advance design,i and safety factor SF i , to calculate the maximum allowable axial force F in each load range i,max , the calculation formula is as follows:

[0138]

[0139] Among them, F i,max is the maximum allowable axial force under the i-th environmental load range; F design,iis the wind turbine bolt design load under the i-th environmental load range; SF i is the safety factor under the i-th environmental load interval;

[0140] Determine the safety factor SF i Here are the steps:

[0141] Check standards and specifications: Find the recommended safety factor range according to relevant standards and specifications for wind power equipment (such as IEC61400 wind farm design standard); assume that the safety factor range recommended by the standard is 1.5 to 2.5;

[0142] Material and environmental assessment: Evaluate the material properties (such as high-strength steel) and operating environment (such as the corrosive environment of offshore wind farms) used in wind power bolts; preliminarily determine the safety factor based on the experimental data of the material and the environmental impact; in this embodiment, based on the experimental data and the actual environment, the safety factor is preliminarily determined to be 2.0;

[0143] Load assessment: Consider the load conditions of wind power bolts in actual use, especially extreme load conditions; make adjustments based on load uncertainty; in this embodiment, considering the impact of extreme wind and waves, the safety factor is adjusted to 2.2;

[0144] Experience and expert review: The safety factor is further adjusted based on the historical operating data of wind power bolts and expert review opinions; in this embodiment, experts recommend using a safety factor of 2.1 in the current environment;

[0145] Final determination: Taking all the above into consideration, the final safety factor is determined to be 2.1;

[0146] Design load F design,i The steps for obtaining are the same as above and will not be repeated here;

[0147] According to the calculated maximum allowable axial force set {F 1,max , F 2,max ,…,F i,max , …, F n,max}, set the warning threshold of each load interval, the specific formula is as follows:

[0148] JZ i =F i,max ×(1-δ)

[0149] Among them, δ is the warning coefficient, 0.05≤δ≤0.3, and the specific value of δ is adjusted according to the experimental data and specific application scenarios of the expert group;

[0150] When the fine-tuning index Wt i When the value is in the interval (0,0.33], δ∈[0.05,0.1];

[0151] When the fine-tuning index Wt i When the value is in the interval (0.33,0.67], δ∈(0.1,0.2];

[0152] When the fine-tuning index Wt i When the value is in the interval (0.67,1), δ∈(0.2,0.3];

[0153] When Wt i When it increases by 10% (from 0.3 to 0.33), δ increases from 0.08 to 0.1, indicating that the warning threshold increases slightly, but it is still in the medium range;

[0154] When Wt i When it increases by 20% (from 0.5 to 0.6), δ increases from 0.15 to 0.18, indicating that the warning threshold increases significantly in the medium range, reflecting the impact of medium load changes;

[0155] When Wt i When it increases by 30% (from 0.7 to 1), δ increases from 0.2 to 0.3, indicating that the warning threshold increases significantly at high load changes, reflecting the great influence of load changes on axial force.

[0156] Further explanation: combining the comparison analysis results with the fine-tuning index, the axial force state alarm strategy of the current wind power bolt in this range is generated, including:

[0157] Define the environmental load interval where the current wind power bolt is located as the i-th environmental load interval;

[0158] 1) When F ti ≥JZ i hour:

[0159] Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value exceeds the warning threshold by less than 3%, and the influence of the wave load on the bolt axial force is less than 10%. The alarm strategy is to issue a low alarm, which requires increasing the current inspection frequency by 10%, and no immediate measures are required;

[0160] Fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the current axial force representative value exceeds the warning threshold by 3% to 10%, and the influence of wave load on the bolt axial force is between 10% and 20%. The alarm strategy is to issue a medium alarm, and the current inspection frequency needs to be increased by more than 25%;

[0161] Fine-tuning index Wt iWhen the value is in the interval (0.67,1), it means that the current axial force representative value exceeds the warning threshold by more than 10%, and the influence of the wave load on the bolt axial force is more than 20%. The alarm strategy is to issue a high alarm. Specifically, it is necessary to conduct a detailed inspection immediately and take emergency measures to prevent bolt failure. Emergency measures include immediate load reduction or replacement of bolts.

[0162] 2) When F ti <JZ i hour:

[0163] Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value is far below the warning threshold, the wave load has little impact, and the alarm strategy is no alarm;

[0164] Fine-tuning index Wt i When the value is in the range of (0.33, 0.67], it means that the current axial force representative value is lower than the warning threshold, but the wave load has a strong impact. The alarm strategy is to prompt the alarm. Specifically, the current inspection frequency needs to be increased by 5% to remind maintenance personnel to pay attention to the current axial force status and maintain regular monitoring; record and analyze the potential impact of wave loads on bolts so as to adjust the maintenance plan in time;

[0165] Fine-tuning index Wt i When the value is in the interval of (0.67,1), it means that the current axial force representative value is close to the warning threshold, and the influence of wave load on the bolt axial force is more than 20%.

[0166] The alert strategy is to low alert, shorten the current inspection cycle by 15%, and prepare preventive measures.

[0167] Embodiment 2:

[0168] Based on the first embodiment, a series of tests were conducted to verify the effectiveness and advantages of the wind power bolt axial force adjustment method. The test objects were typical wind turbines in wind farms, and bolts in different environmental load ranges were selected for testing. Before the test, the design load data and historical operation data of each bolt were first collected to determine the initial axial force value F i and the maximum permissible axial force F i,max ;

[0169] During the test, the axial force is monitored in real time by sensors installed on the bolts, and the fine-tuning index Wt is determined according to the changes in the external wave load of the offshore wind turbine. i ; The adjustment of the fine-tuning index for the representative value of the axial force is based on the real-time data of the wave load and is calculated by an algorithm; In the test, the fine-tuning index Wt i The value range of Wt is set to (0,1), and Wt is set to (0,1) according to the different degrees of wave load influence. iDivided into three intervals: (0,0.33], (0.33,0.67] and (0.67,1);

[0170] In each interval, according to formula F ti =F i ×(1+Wt i ) Calculate the adjusted axial force representative value F i ; At the same time, according to formula JZ i =F i,max ×(1-δ) calculates the warning threshold JZ i , where the value of δ is determined according to Wt i The different intervals of are set as [0.05,0.1], (0.1,0.2] and (0.2,0.3];

[0171] In the test, the adjusted axial force representative value F ti and the warning threshold JZ i Compare and adjust the index Wt according to the comparison results and fine-tuning index Wt i The value of generates the corresponding axial force status alarm strategy; the specific strategies include low alarm, medium alarm, high alarm, no alarm and prompt alarm, and each alarm strategy corresponds to different inspection frequencies and maintenance measures;

[0172] The test results show that by adjusting the fine-tuning index Wt i And calculate the adjusted axial force representative value F ti , which can effectively reflect the impact of wave load on the axial force of bolts, and take corresponding alarm strategies and maintenance measures according to different impact levels; this not only improves the safety and reliability of wind power bolts, but also optimizes maintenance plans and reduces unnecessary maintenance costs;

[0173] The experimental table is as follows:

[0174] Table 1

[0175]

[0176] Data Analysis:

[0177] From the data of bolt A, it can be seen that the fine-tuning index Wt i is 0.2, indicating that the wave load has little influence. The adjusted axial force F ti It is 120kN, slightly above the warning threshold of 108kN, which triggers a low alarm, indicating that the inspection frequency needs to be slightly increased, but no immediate action is required;

[0178] In the case of bolt B, the fine-tuning index Wt i0.5 means that the wave load has a moderate impact. The adjusted axial force is 150kN, which is significantly higher than the warning threshold of 96kN. A medium alarm is issued and the inspection frequency needs to be greatly increased.

[0179] Fine adjustment index Wt of bolt C i The value is 0.8, indicating that the wave load has a great influence. The adjusted axial force is 180 kN, which greatly exceeds the warning threshold of 84 kN, and a high alarm is issued, requiring immediate emergency measures to prevent bolt failure.

[0180] Fine adjustment index Wt of bolt D i The value is 0.1, indicating that the wave load has little influence. The adjusted axial force is 110 kN, which is far below the warning threshold of 114 kN, indicating that the bolt is in normal condition and there is no need to adjust the inspection frequency.

[0181] Fine-tuning index Wt of bolt E i The value is 0.4, indicating that the influence of wave load is moderate. The adjusted axial force is 140 kN, which exceeds the warning threshold of 102 kN. A warning alarm is issued, requiring a slight increase in the inspection frequency to pay attention to the change of axial force.

[0182] Fine adjustment index Wt of bolt F i The value is 0.7, indicating that the wave load has a significant impact. The adjusted axial force is 170 kN, which greatly exceeds the warning threshold of 88 kN, and a low alarm is issued, requiring a significant increase in the inspection frequency.

[0183] According to the comparison results between the adjusted axial force and the warning threshold, different levels of alarm strategies (no alarm, prompt alarm, low alarm, medium alarm, high alarm) are generated, and the inspection frequency and maintenance measures are adjusted accordingly, which improves the safety and maintenance efficiency of the bolts;

[0184] By quantitatively correlating the fine-tuning index with the impact of wave loads, accurate monitoring and dynamic adjustment of the bolt axial force state are achieved, avoiding over-maintenance or under-maintenance.

[0185] Embodiment three:

[0186] See also Figure 2 , an axial force analysis device for wind power bolts, the device is used to perform an axial force analysis method for wind power bolts, comprising:

[0187] Interval division module: used to divide the environmental load on the wind power bolt into multiple intervals in order of size, forming a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load;

[0188] Axial force calculation module: used to calculate the axial force of wind power bolts in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain the axial force representative value set {F1, F2, ..., F i , …, F n}, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval;

[0189] Wave load set building module: It is used to collect several different wave load data in the i-th environmental load interval, under the premise of ensuring that the wind load is in a stable state, and mark these data in sequence to form a wave load set {B i,1 , Bi,2, …, Bi,j, …, Bi,m}, where Bi,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, Bi,m represents the mth wave load value of the wind turbine bolt in the i-th environmental load interval, and m is an even number, Bi,1<Bi,2, …,<Bi,j, …,<Bi,m;

[0190] Variation coefficient generation module: used to set Bi,m / 2 as the wave load set {Bi,1, B i,2 ,…,B i,j , …, B i,m}, and according to B i,m / 2 The wave load set is divided into low load sets {B i,1 , B i,2 , …, B i,m / 2} and high load set {B i,1+m / 2 , …, B i,m}, calculate the average variation between adjacent wave load values ​​in the low load set and the high load set respectively, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn.

[0191] Index generation module: used to analyze the first variation coefficient and the second variation coefficient and construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ;

[0192] Warning threshold generation module: used to determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max,…,F i,max , …, F n,max}, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max It represents the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, the axial force warning threshold of the wind power bolt in the i-th environmental load interval is set as JZ i , and JZ i <F i,max ;

[0193] Alarm strategy construction module: It is used to determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold, and obtain the comparison and analysis results. Combining the comparison and analysis results with the fine-tuning index, the axial force status alarm strategy of the current wind turbine bolt in this range is generated.

[0194] A device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the axial force analysis method of wind power bolts when executing the computer program.

[0195] A readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the axial force analysis method of the wind power bolt are implemented.

[0196] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0197] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0198] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0199] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. Axial force analysis method for wind power bolts, which is applied to wind power bolts of offshore wind turbines and is characterized in that: The specific steps include: Step S1: Divide the environmental load on the wind power bolt into multiple intervals in order of size to form a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load; Step S2: Calculate the axial force of the wind power bolt in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain a set of axial force representative values ​​{F1, F2, ..., F i , …, F n }, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval; Step S3: In the i-th environmental load interval, under the premise of determining that the wind load is in a stable state, collect several different wave load data, and mark these data in sequence to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }, where B i,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, B i,m represents the mth wave load value of the wind power bolt in the i-th environmental load interval, and m is an even number, B i,1 <B i,2 ,…,<B i,j ,…,<B i,m ; Step S4: In the i-th environmental load interval, set B i,m / 2 is the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }, and according to B i,m / 2 The wave load set is divided into low load sets {B i,1 , B i,2 , …, B i,m / 2 } and high load set {B i,1+m / 2 , …, B i,m }, respectively calculate the average variation between adjacent wave load values ​​in the low load set and the high load set, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn; Step S5: Analyze the first variation coefficient and the second variation coefficient to construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ; Step S6: According to the design load and safety factor of the wind power bolt, determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max ,…,F i,max , …, F n,max }, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max It represents the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, the axial force warning threshold of the wind power bolt in the i-th environmental load interval is set as JZ i , and JZ i <F i,max ; Step S7: Determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold to obtain the comparison and analysis results, and combine the comparison and analysis results with the fine-tuning index to generate the axial force status alarm strategy for the current wind turbine bolt in this range.

2. The axial force analysis method of wind power bolts according to claim 1 is characterized in that: The axial force represents a value set {F1, F2, ..., F i , …, F n The generation steps are as follows: Calculate wind and wave loads using the following formulas: Among them, F wind,i is the average wind load in the i-th environmental load interval, ρ air is the air density, A blade is the frontal area of ​​the blade, v wind,i is the average wind speed in the ith environmental load interval, C d,wind is the wind resistance coefficient; F wave,i is the average wave load in the ith environmental load interval, ρ water is the water density, g is the acceleration due to gravity, H wave,i is the average wave height under the i-th environmental load interval; Calculate the axial force using the following formula: F i =F wind,i ·cos(θ wind,i )+F wave,i ·cos(θ wave,i ) Among them, F i is the representative value of the axial force under the i-th environmental load interval, θ wind,i is the average angle between the wind direction and the bolt axis in the i-th environmental load interval, θ wave,i is the average angle between the wave direction and the bolt axis in the i-th environmental load interval; The axial force calculated in each load interval is stored as a set of axial force representative values ​​{F1, F2, ..., F i , …, F n }.

3. The axial force analysis method of wind power bolts according to claim 2 is characterized in that: For the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }, the specific acquisition steps include: In the i-th environmental load interval, wind speed and direction sensors are used to monitor wind load conditions in real time; The threshold ranges of wind speed and wind direction in the current i-th environmental load interval are set respectively. When the changes of wind speed and wind direction are within the set threshold ranges, the wind load is in a stable state. When the changes of wind speed and wind direction are not within the set threshold ranges, the collection of wave load data is suspended and the wind load condition is waited to return to a stable state. Before collecting wave load data, the wind load conditions are monitored for a period of time T1 to ensure that the wind load conditions remain stable during the collection period; Under the premise of stable wind load conditions, use the wave sensor to collect m wave load data in the i-th environmental load interval, and it is necessary to ensure that m is an even number; The collected wave load data are sequentially marked to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }; The average variation between adjacent wave load values ​​in the low load set and the high load set are calculated respectively, and the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set are obtained in turn, which specifically include: Calculate the average change for the low load set: Where, ΔB low,i represents the average change of the low load set in the i-th environmental load interval, B i,j+1 , B i,j represents the low load set {B i,1 , B i,2 , …, B i,m / 2 }adjacent wave load values ​​in ; Compute the average change for the high load set: Where, ΔB high,i represents the average change of the corresponding high load set in the i-th environmental load interval, B i,j+1 , B i,j Represents a high load set {B i,1+m / 2 , …, B i,m }adjacent wave load values ​​in ; Calculate the first coefficient of variation for the low load set: Among them, C low,i represents the first variation coefficient of the corresponding low load set in the i-th environmental load interval; Calculate the second coefficient of variation for the high load set: Among them, C high,i Represents the second variation coefficient of the high load set in the i-th environmental load interval.

4. The axial force analysis method of wind power bolts according to claim 3 is characterized in that: The fine-tuning index under the i-th environmental load interval is defined as Wti, and the specific formula is as follows: Among them, α is the weight coefficient, 0.12≤α≤0.48, and α<1-α, γ is the attenuation coefficient of the exponential function, 0.08≤γ≤0.87; Define the adjusted axial force representative value F ti The calculation formula is as follows: F ti =F i ×(1+Wt i ) Limit the value range of the fine-tuning index to (0, 1); When the fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the changes between the low load set and the high load set are small, which leads to the adjustment range of the axial force representative value within 33%, reflecting that the influence of the wave load on the bolt axial force is within 10%; When the fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the changes of low load set and high load set are moderate, which leads to the adjustment range of the representative value of axial force between 33% and 67%, reflecting that the influence of wave load on bolt axial force is between 10% and 20%; When the fine-tuning index Wt i When the value is in the interval of (0.67, 1), it means that the changes in the low load set and the high load set are significant, which leads to the adjustment range of the representative value of the axial force being above 67%, reflecting that the influence of the wave load on the axial force of the bolt is more than 20%.

5. The axial force analysis method of wind power bolts according to claim 4 is characterized in that: The warning threshold JZ i The steps to obtain it are as follows: In the i-th environmental load interval, the design load F of the wind turbine bolt is obtained in advance design,i and safety factor SF i , to calculate the maximum allowable axial force F in each load range i,max , the calculation formula is as follows: Among them, F i,max is the maximum allowable axial force under the i-th environmental load range; F design,i is the wind turbine bolt design load under the i-th environmental load range; SF i is the safety factor under the i-th environmental load interval; According to the calculated maximum allowable axial force set {F 1,max , F 2,max ,…,F i,max , …, F n,max }, set the warning threshold of each load interval, the specific formula is as follows: JZ i =F i,max ×(1-δ) Among them, δ is the warning coefficient, 0.05≤δ≤0.3; When the fine-tuning index Wt i When the value is in the interval (0,0.33], δ∈[0.05,0.1]; When the fine-tuning index Wt i When the value is in the interval (0.33,0.67], δ∈(0.1,0.2]; When the fine-tuning index Wt i When the value is in the interval (0.67,1), δ∈(0.2,0.3].

6. The axial force analysis method of wind power bolts according to claim 5 is characterized in that: Combining the comparison analysis results with the fine-tuning index, an axial force status alarm strategy for the current wind power bolt in this range is generated, including: 1) When F ti ≥JZ i hour: Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value exceeds the warning threshold by less than 3%, and the influence of the wave load on the bolt axial force is less than 10%. The alarm strategy is to issue a low alarm, which requires increasing the current inspection frequency by 10%, and no immediate measures are required; Fine-tuning index Wt i When the value is in the interval of (0.33, 0.67], it means that the current axial force representative value exceeds the warning threshold by 3% to 10%, and the influence of wave load on the bolt axial force is between 10% and 20%. The alarm strategy is to issue a medium alarm, and the current inspection frequency needs to be increased by more than 25%; Fine-tuning index Wt i When the value is in the interval (0.67,1), it means that the current axial force representative value exceeds the warning threshold by more than 10%, and the influence of the wave load on the bolt axial force is more than 20%. The alarm strategy is to issue a high alarm. Specifically, it is necessary to conduct a detailed inspection immediately and take emergency measures to prevent bolt failure. Emergency measures include immediate load reduction or replacement of bolts. 2) When F ti <JZ i hour: Fine-tuning index Wt i When the value is in the interval of (0,0.33], it means that the current axial force representative value is far below the warning threshold, the wave load has little impact, and the alarm strategy is no alarm; Fine-tuning index Wt i When the value is in the range of (0.33, 0.67], it means that the current axial force representative value is lower than the warning threshold, but the wave load has a strong impact. The alarm strategy is to prompt the alarm. Specifically, the current inspection frequency needs to be increased by 5% to remind maintenance personnel to pay attention to the current axial force status and maintain regular monitoring; record and analyze the potential impact of wave loads on bolts so as to adjust the maintenance plan in time; Fine-tuning index Wt i When the value is in the interval of (0.67,1), it means that the current representative value of the axial force is close to the warning threshold, the influence of the wave load on the bolt axial force is more than 20%, and the alarm strategy is a low alarm, shortening the current inspection cycle by 15%, and preparing preventive measures.

7. An axial force analysis device for wind power bolts, characterized in that: The device is used to execute the axial force analysis method of wind power bolts according to any one of claims 1 to 6, comprising: Interval division module: used to divide the environmental load on the wind power bolt into multiple intervals in order of size, forming a load interval set {1, 2, ..., i, ..., n}, where i represents the i-th environmental load interval index, n represents the total number of environmental load intervals, and the environmental load includes wind load and wave load; Axial force calculation module: used to calculate the axial force of wind power bolts in each interval of the load interval set {1, 2, ..., i, ..., n}, and obtain the axial force representative value set {F1, F2, ..., F i , …, F n }, where F i It represents the representative value of the axial force of the wind power bolt in the i-th environmental load range, F n It represents the representative value of the axial force of the wind power bolt in the nth environmental load interval; Wave load set building module: It is used to collect several different wave load data in the i-th environmental load interval, under the premise of ensuring that the wind load is in a stable state, and mark these data in sequence to form a wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }, where B i,j represents the jth wave load value of the wind turbine bolt in the i-th environmental load interval, B i,m represents the mth wave load value of the wind power bolt in the i-th environmental load interval, and m is an even number, B i,1 <B i,2 ,…,<B i,j ,…,<B i,m ; Variation coefficient generation module: used to set B in the i-th environmental load interval i,m / 2 is the wave load set {B i,1 , B i,2 ,…,B i,j , …, B i,m }, and according to B i,m / 2 The wave load set is divided into low load sets {B i,1 , B i,2 , …, B i,m / 2 } and high load set {B i,1+m / 2 , …, B i,m }, calculate the average variation between adjacent wave load values ​​in the low load set and the high load set respectively, and obtain the first variation coefficient corresponding to the low load set and the second variation coefficient corresponding to the high load set in turn. Index generation module: used to analyze the first variation coefficient and the second variation coefficient and construct a fine-tuning index, which is used to adjust the axial force representative value F. i , and obtain the adjusted axial force representative value F ti ; Warning threshold generation module: used to determine the axial force representative value set {F1, F2, ..., F i , …, F n The maximum permissible axial force set corresponding to {F 1,max , F 2,max ,…,F i,max , …, F n,max }, where F i,max represents the maximum allowable axial force of the wind power bolt in the i-th environmental load range, F n,max It represents the maximum allowable axial force of the wind power bolt in the nth environmental load interval, and according to the maximum allowable axial force set, the axial force warning threshold of the wind power bolt in the i-th environmental load interval is set as JZ i , and JZ i <F i,max ; Alarm strategy construction module: It is used to determine the environmental load range in which the current wind turbine bolt is located, and determine the adjusted axial force representative value corresponding to this environmental load range, compare and analyze the adjusted axial force representative value with the corresponding axial force warning threshold, and obtain the comparison and analysis results. Combining the comparison and analysis results with the fine-tuning index, the axial force status alarm strategy of the current wind turbine bolt in this range is generated.

8. A device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the axial force analysis method for wind power bolts according to any one of claims 1 to 6 are implemented.

9. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the axial force analysis method for wind power bolts according to any one of claims 1 to 6 are implemented.

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