A wind turbine tower condition monitoring method and modular assembly structure
Real-time deformation monitoring is carried out through modular assembly structure and displacement monitor, and the fatigue analysis model is established and updated in combination with historical fatigue data, which solves the problem of real-time fatigue damage monitoring of wind power towers, achieving more accurate maintenance time reference and improvement of tower stability.
Patent Information
- Application Number
- CN202411547145.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-04-15
- Estimated Expiration
- 2044-11-01
AI Technical Summary
The prior art is difficult to achieve real-time and accurate fatigue damage monitoring of wind power towers, resulting in uncertain maintenance time and affecting the stability and service life of towers.
The modular assembly structure and displacement monitor are used for real-time deformation monitoring, and the initial fatigue analysis model is established based on historical fatigue data, and the model is updated through real-time deformation data to form real-time fatigue analysis results for the target tower.
Real-time and accurate fatigue damage monitoring of wind power towers is achieved, providing more accurate maintenance reference time, extending the service life of the towers and improving stability.
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Figure CN119222115B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wind turbine tower status monitoring, and in particular to a wind turbine tower status monitoring method and a modular assembly structure. Background Art
[0002] The wind turbine tower is the tower pole of wind power generation. It mainly plays a supporting role in the wind turbine generator set and absorbs the vibration of the unit. The installation of wind turbine tower is very strict to ensure that it can play a stable supporting role. Therefore, there are strict regulations on the verticality, roundness, flatness and quality of welds of the tower installation. Of course, the modular assembly of wind turbine tower can also greatly improve the efficiency of installation. At the same time, modular assembly has a great influence on controlling the stress of the tower.
[0003] Since the wind turbine tower supports the unit to generate wind power, it will be affected by wind during use, and the working mode of the impeller forms regular vibrations which are then transmitted to the tower, causing the tower to be subjected to cyclic loads for a long time. Therefore, the most likely stability problem of the wind turbine tower is fatigue damage. It is necessary to monitor the fatigue damage of the tower in real time to carry out reasonable maintenance in advance. At present, there are many ways and methods for status monitoring of tower fatigue damage, but most of them are to extract cyclic loads for analysis, and cannot be combined with the target tower for real-time analysis, so the results obtained are relatively rough. For maintenance work, accurate maintenance time is not tight, which can ensure the full use of the tower and effectively avoid the premature loss of stability.
[0004] Therefore, it is an urgent problem to design a condition monitoring method and modular assembly structure for wind turbine towers, and to conduct real-time fatigue analysis on the target tower by collecting the historical fatigue data of the tower, so as to provide a more reasonable and accurate maintenance reference time for the modularly assembled tower. Summary of the invention
[0005] The purpose of the present invention is to provide a modular assembly structure of a wind turbine tower, which facilitates the transportation and installation of the tower through a modular segmented barrel design, greatly improves the installation and transportation efficiency, and reduces the cost of production. The displacement monitor is used to monitor the deformation of the target tower in real time, thereby providing real-time and accurate deformation data. The database can provide a sufficient big data basis for analysis, thereby ensuring the accuracy and rationality of the initial fatigue analysis model formed. The state monitoring and analysis unit carries out a reasonable fatigue analysis of the target tower based on the real-time deformation data collected by the displacement monitor and the historical fatigue data provided by the database, forming a more accurate and reasonable fatigue analysis result, thereby providing an accurate reference for maintenance, which is an important material basis for realizing targeted structural maintenance analysis of the target tower.
[0006] The purpose of the present invention is also to provide a condition monitoring method for a wind turbine tower, which extracts reasonable and effective basic cycle load information for a target tower based on historical fatigue data of towers of the same type, and then establishes a preliminary fatigue analysis model to obtain a reliable fatigue analysis basic model and data. At the same time, for the target tower, the real-time deformation of the target tower is extracted, and the deformation boundary where deformation and fatigue damage occur on the tower is analyzed in combination with historical fatigue data, and then the fatigue analysis model of the tower is updated according to the actual deformation information of the target tower, forming a real-time fatigue analysis model for the target tower, obtaining a more accurate fatigue maintenance reference time, and fully ensuring effective and timely maintenance of the tower.
[0007] In a first aspect, the present invention provides a modular assembly structure of a wind turbine tower, including a segmented cylinder module, wherein different segmented cylinder modules are welded and assembled in sequence to form a tower; a displacement monitor, which is arranged at different monitoring points of the tower and is used to obtain deformation data of different monitoring points; a historical database unit, which is arranged in the tower and is used to store historical fatigue data of towers of the same type; a state monitoring and analysis unit, which is used to obtain historical fatigue data in a historical database, establish an initial fatigue model of the tower, collect deformation data of the displacement monitor, perform deformation analysis in combination with the historical fatigue data, form real-time deformation analysis result data, and perform maintenance analysis based on the real-time deformation analysis result data and in combination with the initial fatigue model of the tower to form target maintenance data.
[0008] In the present invention, the system facilitates the transportation and installation of the tower through a modular segmented barrel design, greatly improves the installation and transportation efficiency, and reduces the cost of production. The displacement monitor is used to monitor the deformation of the target tower in real time, thereby providing real-time and accurate deformation data. The database can provide a sufficient big data basis for analysis, thereby ensuring the accuracy and rationality of the initial fatigue analysis model formed. The state monitoring and analysis unit carries out a reasonable fatigue analysis of the target tower based on the real-time deformation data collected by the displacement monitor and the historical fatigue data provided by the database, forming a more accurate and reasonable fatigue analysis result, thereby providing an accurate reference for maintenance, which is an important material basis for realizing targeted structural maintenance analysis of the target tower.
[0009] As a possible implementation, the displacement monitors are arranged at two ends of different segmented cylinder modules, and different displacement monitors on the same end are located on the same horizontal plane.
[0010] In the present invention, the displacement monitor is set at both ends of the segmented cylinder module, which can accurately measure the deformation of different cylinder modules. Considering that the welding position between different cylinder modules is the position where the most severe deformation occurs, it is set nearby to accurately obtain deformation data.
[0011] As a possible implementation, positioning holes are evenly spaced on one end surface of the segmented cylinder module, and positioning pins are evenly spaced on the other end surface, and adjacent segmented cylinders are positioned and assembled through the positioning holes and positioning pins.
[0012] In the present invention, the positioning holes and positioning pins are used to quickly realize positioning and assembly while also being able to effectively transmit vibrations, so that the assembled tower is subjected to stress as a whole.
[0013] In a second aspect, the present invention provides a condition monitoring method for a wind turbine tower, comprising acquiring historical fatigue data of towers of the same type and establishing an initial fatigue model of the tower based on the historical fatigue data; collecting real-time deformation data of a target tower and performing deformation analysis based on the historical fatigue data to form real-time deformation analysis result data; performing maintenance analysis based on the real-time deformation analysis result data and in combination with the initial fatigue model of the tower to form target maintenance data.
[0014] In the present invention, the method extracts reasonable and effective basic cycle load information for the target tower based on the historical fatigue data of the same type of towers, and then establishes a preliminary fatigue analysis model to obtain a reliable fatigue analysis basic model and data. At the same time, for the target tower, the real-time deformation of the target tower is extracted, and the deformation boundary of the deformation and fatigue damage occurring on the tower is analyzed in combination with the historical fatigue data, and then the fatigue analysis model of the tower is updated according to the actual deformation information of the target tower, forming a real-time fatigue analysis model for the target tower, obtaining a more accurate fatigue maintenance reference time, and fully ensuring the effective and timely maintenance of the tower.
[0015] As a possible implementation method, historical fatigue data of towers of the same type are obtained, and an initial fatigue model of the tower is established based on the historical fatigue data, including: for the historical fatigue data, fatigue vibration data of different towers are extracted and compared and analyzed based on time to determine the initial effective vibration frequency, including: for the historical fatigue data, vibration frequency data of the tower with fatigue damage is extracted based on the time dimension sequence during use to form fatigue tower vibration frequency data; based on the fatigue tower vibration frequency data, the frequency value with the longest time proportion of the vibration frequency of different towers during the entire tower use period is determined; based on the frequency values with the longest time proportion corresponding to different towers, the amplitude is compared to determine the frequency value with the largest time proportion, and it is marked as the initial effective vibration frequency; based on the initial effective vibration frequency, an initial fatigue analysis model is established, and initial fatigue effective data is determined; an impact analysis based on non-vibration time is performed on the initial fatigue analysis model to determine the effective static time data.
[0016] In the present invention, historical fatigue data is used to establish a reasonable initial fatigue analysis model. First of all, the big data obtained should be the fatigue data of the tower that is at least the same in the basic three-dimensional model. After all, different structural models will lead to very different fatigue analysis results. After all, fatigue damage is also affected by the structural form. Secondly, the fundamental reason for the fatigue of the tower is that the tower is affected by the cyclic load, and the long-term effect causes fatigue damage, so the source of the fatigue of the tower needs to be clear. It should be noted here that the cyclic load that causes the fatigue of the tower must first reach a certain level. This level can refer to the frequency, amplitude and duration of the cyclic load. For the tower, its main cyclic load comes from the vibration generated by the impeller and the unit when working, and the external environment such as wind, on the one hand, because the influence of wind on the tower is transmitted through the impeller, on the other hand, the wind in nature does not show obvious periodicity, and the influence of wind in different directions will also be reflected in the deformation amount, and the present application takes into account the influence of deformation when analyzing the fatigue analysis model, so here only considers the influence of the cyclic load formed by the periodic vibration of the impeller and the unit on the tower. Of course, it is understandable that the long-term effect of cyclic loads will cause fatigue in the tower. The load amount of cyclic loads is an important factor. At the same time, in actual situations, this vibration is not continuous. There will be a static time when the impeller and the unit are not generating electricity. Although this static time is not affected by the cyclic load, it makes the cyclic load discontinuous and affects the continuous impact of the cyclic load, which needs to be reasonably considered. The determination of the initial effective vibration frequency takes into account the acquisition under big data, and it is necessary to determine the most obvious vibration parameters that have a high impact on fatigue. It is understandable that under big data, although the tower with fatigue damage will have vibrations of different parameter amounts during the entire use process, the longest effect is the most effective after all. At the same time, considering the effect of vibration amplitude on fatigue, after extracting the vibration frequency with the largest proportion of the duration under different towers, the greater the amplitude, the greater the effect on the fatigue of the tower. Therefore, the vibration frequency with the largest vibration amplitude is used as the final initial effective vibration frequency, so that the vibration parameter input of the established initial fatigue analysis model is more reasonable and effective, ensuring the rationality and effectiveness of the analysis results.
[0017] As a possible implementation method, an initial fatigue analysis model is established according to the initial effective vibration frequency, and initial fatigue effective data is determined, including: obtaining a tower model, and establishing an initial fatigue analysis model with the initial effective vibration frequency as vibration input; performing full-time fatigue vibration analysis on the initial fatigue analysis model based on the initial effective vibration frequency to determine the initial fatigue occurrence time T0 of fatigue damage to the tower model; determining the initial equivalent fatigue accumulation W0 of fatigue damage to the initial fatigue analysis model under full-time vibration at the initial effective vibration frequency according to the initial fatigue occurrence time T0 and the vibration function G0 of the initial effective vibration frequency, wherein:
[0018] In the present invention, fatigue damage refers to the accumulation of damage to the material after the tower is vibrated. Considering that this damage accumulation is caused by cyclic loads, damage analysis based on fatigue models can measure the conditions for fatigue damage by establishing a fatigue accumulation amount. This fatigue accumulation amount can be measured by accumulating the vibration amount under the entire full-duration vibration during which fatigue occurs. This reasonable quantification of fatigue damage is conducive to a more accurate fatigue accumulation analysis of the target tower combined with the actual vibration conditions, and to determining a more accurate maintenance reference time.
[0019] As a possible implementation method, an impact analysis based on non-vibration duration is performed on the initial model of fatigue analysis to determine effective static duration data, including: setting a time period step, determining different time points on the initial fatigue occurrence duration T0 in sequence with the time period step, and marking them as static duration insertion time points n; for different static duration insertion time points n, gradually increasing the insertion time in the vibration input of the initial model of fatigue analysis until the inserted time affects the initial fatigue occurrence duration T0, and then determining the minimum duration that affects the initial fatigue occurrence duration T0 as the minimum effective static duration corresponding to the static duration insertion time point. And the static time fatigue effect on the initial fatigue occurrence time T0 in: α n Indicates the fatigue static duration influencing factor corresponding to different static duration insertion time points, is the total duration of the static duration insertion corresponding to the time point n, and
[0020] In the present invention, the input parameters established by the initial model of fatigue analysis are vibration parameters under full duration, that is, the duration of fatigue damage caused by the continuous vibration of the tower model. In actual situations, the vibration is not continuous and will stop because of non-operation. This stop causes discontinuity of vibration, so it is necessary to consider the influence of this static state on fatigue damage. Here, the influence of the static duration on fatigue damage when the vibration is not connected is analyzed by selecting the time period step as the time analysis point. It can be understood that at any time point, a shorter static duration will not have a substantial impact on fatigue, so when the static duration is inserted at each time point, it is necessary to continuously increase the static duration to find the minimum limit point that affects fatigue damage. At the same time, the static duration of different time points has different effects on the continuity of the vibration, and this effect is also reflected in the duration of fatigue damage. Therefore, it is necessary to establish the influence relationship between the static duration at the time point and the duration of fatigue damage. This influence relationship is expressed more directly and obviously by establishing a relationship between the amount of static duration and the total static duration.
[0021] As a possible implementation method, real-time deformation data of the target tower is collected, and deformation analysis is performed based on historical fatigue data to form real-time deformation analysis result data, including: for historical fatigue data, deformation data of different monitoring points of a tower that has fatigue damage during use are extracted to form fatigue tower deformation monitoring data; based on fatigue tower data, deformation data of different monitoring points of a tower that has not fatigue damage during use are extracted to form normal tower deformation monitoring data; based on the fatigue tower deformation monitoring data and the normal tower deformation monitoring data, corresponding allowable deformation variable information at different monitoring points of the target tower is determined; for the real-time deformation variables of different monitoring points on the target tower, the allowable deformation variable information at the corresponding monitoring point position is extracted, and the following comparative analysis is performed: if the real-time deformation variable does not exceed the corresponding allowable deformation variable information, a normal deformation result is formed; if the real-time deformation variable exceeds the corresponding allowable deformation variable information, a deformation maintenance result is formed.
[0022] In the present invention, after obtaining the initial fatigue model, it is necessary to conduct a reasonable fatigue analysis on the target tower based on the initial fatigue model. In order to make the analysis targeted, it is necessary to input personalized parameters into the fatigue model. The most important parameter affecting fatigue damage is the material performance, which can be more intuitively expressed by whether plastic deformation occurs. Therefore, it is very important to monitor the actual deformation of the target tower, and it is also necessary to consider whether the deformation develops to have a strong impact on fatigue damage. This impact can be accurately and reasonably judged through historical fatigue data, that is, a certain degree of inelastic deformation may not have a significant effect on fatigue damage, and it will have a significant impact only when it reaches a certain value. Defining the allowable amount can more accurately update the input of the initial fatigue model.
[0023] As a possible implementation method, maintenance analysis is performed based on the real-time deformation analysis result data in combination with the initial fatigue model of the tower to form target maintenance data, including: when the real-time deformation analysis results are all normal deformation results, the material of the tower model in the initial fatigue model of the tower is updated according to the real-time deformation amounts at different monitoring points to form a real-time fatigue model of the tower; based on the real-time fatigue model of the tower, real-time maintenance analysis is performed to form real-time maintenance information; when there is a deformation maintenance result in the real-time deformation analysis result, maintenance information after deformation maintenance is performed on the monitoring point whose real-time deformation amount exceeds the corresponding allowable deformation amount information is obtained, and the tower model in the initial fatigue model of the tower is updated in combination with the real-time deformation amounts of other monitoring points to form a real-time fatigue model of the tower; real-time maintenance analysis is performed based on the real-time fatigue model of the tower to form real-time maintenance information.
[0024] In the present invention, for different deformation conditions, the target tower needs to be maintained. If the deformation is within the allowable normal range, there is no need to consider deformation maintenance. If the deformation exceeds the allowable value range, deformation maintenance is required, and maintenance will have an impact on the structural model of the target tower. Therefore, it is necessary to consider the impact of this maintenance on the adjustment and update of the initial fatigue model to ensure the rationality and accuracy of fatigue analysis.
[0025] As a possible implementation method, real-time maintenance analysis is performed based on the real-time fatigue model of the tower to form real-time maintenance information, including: for the target tower, determining the real-time vibration duration of the entire real-time use time from the time of commissioning to the current time point; dividing the real-time vibration duration into time period steps, and determining the time point at which the static duration in each time period step exceeds the corresponding minimum effective static duration, and recording the corresponding real-time effective total static duration. k represents the number of different time period steps under the real-time vibration duration; according to the initial equivalent fatigue accumulation W0 and the number of times the tower real-time fatigue model is updated m, the following real-time equivalent fatigue accumulation formula is established: Among them, T m It represents the total vibration duration from the fatigue model update to the next update before the current time point, G m-1 Represents the vibration function input after the fatigue model is updated for the mth time; According to the real-time equivalent fatigue accumulation formula, the total duration of real-time fatigue occurrence T is determined occur ,in: Among them, when k = n, α k =α n , Set the fatigue maintenance factor β and calculate the total fatigue duration T according to the real-time fatigue occur And the total operating time T of the target tower work , make the following analysis and judgment: If T work <T occur *β, then the normal information is used; if T work ≥T occur *β, fatigue maintenance information is formed and the analysis results of the tower real-time fatigue model are input.
[0026] In the present invention, after the fatigue analysis model is updated based on the real-time deformation data, it is very important to determine the duration of fatigue damage occurrence. It can be understood that during the use of the target tower, the initial state is close to the initial fatigue model, and only the actual static time needs to be inserted. As of the current use time of the target tower, the deformation and static time of the use time that has occurred are determined. In this way, on the one hand, the fatigue analysis model can be updated based on the change data monitored by the deformation variable, and the time before and after the update of the analysis model can be determined. On the other hand, the static time can also be determined. It should be noted here that the relationship between the static time and the occurrence time of fatigue damage established for the static time is for the initial model, so the influence of the static time actually obtained on the occurrence time of fatigue damage should also be obtained from the fatigue occurrence time of the initial model. On the other hand, the static time is based on the time insertion point when extracting the relationship. It can be considered that the influence of the static time on the occurrence time of fatigue damage is the same in the time offset allowed before and after the time point. Therefore, the relationship between the static time at the time point and the occurrence time of fatigue damage covers the time period of the next insertion time point, that is, the static time generated in the time period between this insertion time point and the next insertion time point has the same influence on the occurrence time of fatigue damage. At the same time, in order to avoid the static time at different time points in the same time period, the time period step can be adjusted according to the actual situation. The fatigue accumulation is used to determine the duration of fatigue damage to the target tower, so that all analyses are unified, and because the accumulation is the analysis result of the model obtained by big data analysis, the actual fatigue occurrence duration is accurate and reasonable. Of course, the maintenance duration must be shorter than the fatigue damage duration, so the fatigue maintenance factor can be used to adaptively determine the maintenance duration, thereby ensuring more reasonable maintenance operations.
[0027] The beneficial effects of a wind power tower condition monitoring method and a modular assembly structure provided by the present invention are as follows:
[0028] This method extracts reasonable and effective basic cycle load information for the target tower based on the historical fatigue data of the same type of towers, and then establishes a preliminary fatigue analysis model to obtain a reliable fatigue analysis basic model and data. At the same time, for the target tower, the real-time deformation of the target tower is extracted, and the deformation boundary of deformation and fatigue damage occurring on the tower is analyzed in combination with the historical fatigue data, and then the fatigue analysis model of the tower is updated according to the actual deformation information of the target tower, forming a real-time fatigue analysis model for the target tower, obtaining a more accurate fatigue maintenance reference time, and fully ensuring the effective and timely maintenance of the tower.
[0029] The modular segmented barrel design of this structure facilitates the transportation and installation of the tower, greatly improves the installation and transportation efficiency, and reduces the cost of production. The displacement monitor is used to monitor the deformation of the target tower in real time, thereby providing real-time and accurate deformation data. The database can provide a sufficient big data foundation for analysis, thereby ensuring the accuracy and rationality of the initial fatigue analysis model formed. The state monitoring and analysis unit carries out reasonable fatigue analysis of the target tower based on the real-time deformation data collected by the displacement monitor and the historical fatigue data provided by the database, forming a more accurate and reasonable fatigue analysis result, thereby providing an accurate reference for maintenance, which is an important material basis for achieving targeted structural maintenance analysis of the target tower. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments of the present invention are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.
[0031] Figure 1 A step diagram of a method for monitoring the status of a wind turbine tower provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0032] The technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings in the embodiments of the present invention.
[0033] The wind turbine tower is the tower pole of wind power generation. It mainly plays a supporting role in the wind turbine generator set and absorbs the vibration of the unit. The installation of wind turbine tower is very strict to ensure that it can play a stable supporting role. Therefore, there are strict regulations on the verticality, roundness, flatness and quality of welds of the tower installation. Of course, the modular assembly of wind turbine tower can also greatly improve the efficiency of installation. At the same time, modular assembly has a great influence on controlling the stress of the tower.
[0034] Since the wind turbine tower supports the unit to generate wind power, it will be affected by wind during use, and the working mode of the impeller forms regular vibrations which are then transmitted to the tower, causing the tower to be subjected to cyclic loads for a long time. Therefore, the most likely stability problem of the wind turbine tower is fatigue damage. It is necessary to monitor the fatigue damage of the tower in real time to carry out reasonable maintenance in advance. At present, there are many ways and methods for status monitoring of tower fatigue damage, but most of them are to extract cyclic loads for analysis, and cannot be combined with the target tower for real-time analysis, so the results obtained are relatively rough. For maintenance work, accurate maintenance time is not tight, which can ensure the full use of the tower and effectively avoid the premature loss of stability.
[0035] refer to Figure 1 The embodiment of the present invention provides a condition monitoring method for a wind turbine tower. The method extracts reasonable and effective basic cycle load information for a target tower based on historical fatigue data of towers of the same type, and then establishes a preliminary fatigue analysis model to obtain a reliable fatigue analysis basic model and data. At the same time, for the target tower, the real-time deformation of the target tower is extracted, and the deformation boundary where deformation and fatigue damage occur on the tower is analyzed in combination with the historical fatigue data, and then the fatigue analysis model of the tower is updated according to the actual deformation information of the target tower, forming a real-time fatigue analysis model for the target tower, obtaining a more accurate fatigue maintenance reference time, and fully ensuring effective and timely maintenance of the tower.
[0036] The condition monitoring method of a wind turbine tower specifically includes the following steps:
[0037] S1: Obtain historical fatigue data of the same type of towers and establish an initial fatigue model of the tower based on the historical fatigue data.
[0038] Obtain historical fatigue data of the same type of towers, and establish an initial fatigue model of the tower based on the historical fatigue data, including: for the historical fatigue data, extract the fatigue vibration data of different towers and conduct a comparative analysis based on the time dimension to determine the initial effective vibration frequency, including: for the historical fatigue data, extract the vibration frequency data of the tower that has fatigue damage during use based on the time dimension sequence to form the fatigue tower vibration frequency data; based on the fatigue tower vibration frequency data, determine the frequency value with the longest time proportion of the vibration frequency of different towers during the entire tower use period; based on the frequency values with the longest time proportion corresponding to different towers, perform a numerical comparison of the amplitude to determine the frequency value with the largest time proportion, and mark it as the initial effective vibration frequency; based on the initial effective vibration frequency, establish an initial fatigue analysis model and determine the initial fatigue effective data; perform an impact analysis based on the non-vibration time on the initial fatigue analysis model to determine the effective static time data.
[0039] Using historical fatigue data to establish a reasonable initial fatigue analysis model, the first big data to be obtained should be the fatigue data of the tower that is at least the same in the basic three-dimensional model. After all, different structural models will lead to very different fatigue analysis results. After all, fatigue damage is also affected by the structural form. Secondly, the fundamental reason for the fatigue of the tower is that the tower is affected by the cyclic load, and the long-term effect causes fatigue damage, so the source of the fatigue of the tower needs to be clear. It should be noted here that the cyclic load that causes the fatigue of the tower must first reach a certain level. This level can refer to the frequency, amplitude and duration of the cyclic load. For the tower, its main cyclic load comes from the vibration generated by the impeller and the unit when working, and the external environment such as wind, on the one hand, because the influence of wind on the tower is transmitted through the impeller, on the other hand, the wind in nature does not show obvious periodicity, and the influence of wind in different directions will also be reflected in the deformation. When analyzing the fatigue analysis model, this application takes into account the influence of deformation, so here only considers the influence of the cyclic load formed by the periodic vibration of the impeller and the unit on the tower. Of course, it is understandable that the long-term effect of cyclic loads will cause fatigue in the tower. The load amount of cyclic loads is an important factor. At the same time, in actual situations, this vibration is not continuous. There will be a static time when the impeller and the unit are not generating electricity. Although this static time is not affected by the cyclic load, it makes the cyclic load discontinuous and affects the continuous impact of the cyclic load, which needs to be reasonably considered. The determination of the initial effective vibration frequency takes into account the acquisition under big data, and it is necessary to determine the most obvious vibration parameters that have a high impact on fatigue. It is understandable that under big data, although the tower with fatigue damage will have vibrations of different parameter amounts during the entire use process, the longest effect is the most effective after all. At the same time, considering the effect of vibration amplitude on fatigue, after extracting the vibration frequency with the largest proportion of the duration under different towers, the greater the amplitude, the greater the effect on the fatigue of the tower. Therefore, the vibration frequency with the largest vibration amplitude is used as the final initial effective vibration frequency, so that the vibration parameter input of the established initial fatigue analysis model is more reasonable and effective, ensuring the rationality and effectiveness of the analysis results.
[0040] According to the initial effective vibration frequency, an initial fatigue analysis model is established, and initial fatigue effective data is determined, including: obtaining a tower model, and establishing an initial fatigue analysis model with the initial effective vibration frequency as vibration input; performing full-time fatigue vibration analysis on the initial fatigue analysis model based on the initial effective vibration frequency, and determining the initial fatigue occurrence time T0 of fatigue damage to the tower model; according to the initial fatigue occurrence time T0 and the vibration function G0 of the initial effective vibration frequency, determining the initial equivalent fatigue accumulation W0 of fatigue damage to the initial fatigue analysis model under full-time vibration at the initial effective vibration frequency, wherein:
[0041] Fatigue damage refers to the accumulation of damage to the material after the tower is vibrated. Considering that this damage accumulation is caused by cyclic loads, damage analysis based on fatigue models can measure the conditions for fatigue damage by establishing a fatigue accumulation amount. This fatigue accumulation amount can be measured by accumulating the vibration amount under the entire full-duration vibration during which fatigue occurs. This reasonable quantification of fatigue damage is conducive to a more accurate fatigue accumulation analysis of the target tower combined with the actual vibration conditions, and to determining a more accurate maintenance reference time.
[0042] An impact analysis based on non-vibration duration is performed on the initial model of fatigue analysis to determine effective static duration data, including: setting a time period step, determining different time points on the initial fatigue occurrence duration T0 in sequence with the time period step, and marking them as static duration insertion time points n; for different static duration insertion time points n, gradually increasing the insertion time in the vibration input of the initial model of fatigue analysis until the inserted time affects the initial fatigue occurrence duration T0, and then determining the minimum duration that affects the initial fatigue occurrence duration T0 as the minimum effective static duration corresponding to the static duration insertion time point And the static time fatigue effect on the initial fatigue occurrence time T0 in: α n Indicates the fatigue static duration influencing factor corresponding to different static duration insertion time points, is the total duration of the static duration insertion corresponding to the time point n, and
[0043] The input parameters of the initial fatigue analysis model are the vibration parameters under the full duration, that is, the duration of fatigue damage caused by the continuous vibration of the tower model. In actual situations, the vibration is not continuous and will stop due to non-operation. This stop causes the discontinuity of vibration, so it is necessary to consider the influence of this static state on fatigue damage. Here, the influence of the static duration on fatigue damage when the vibration is not connected is analyzed by selecting the time period step as the time analysis point. It can be understood that at any time point, a shorter static duration will not have a substantial impact on fatigue. Therefore, when inserting the static duration at each time point, it is necessary to continuously increase the static duration to find the minimum limit point that affects fatigue damage. At the same time, the static duration at different time points has different effects on the continuity of the vibration, and this effect is also reflected in the duration of fatigue damage. Therefore, it is necessary to establish the influence relationship between the static duration at the time point and the duration of fatigue damage. This influence relationship is more directly and obviously expressed by the ratio of the amount of static duration to the total static duration.
[0044] S2: Collect the real-time deformation data of the target tower, and perform deformation analysis based on historical fatigue data to form real-time deformation analysis result data.
[0045] The real-time deformation data of the target tower is collected, and deformation analysis is performed based on historical fatigue data to form real-time deformation analysis result data, including: for historical fatigue data, deformation data of different monitoring points of a tower that has fatigue damage during use are extracted to form fatigue tower deformation monitoring data; based on fatigue tower data, deformation data of different monitoring points of a tower that has not fatigue damage during use are extracted to form normal tower deformation monitoring data; based on fatigue tower deformation monitoring data and normal tower deformation monitoring data, corresponding allowable deformation variable information at different monitoring points of the target tower is determined; for the real-time deformation variables of different monitoring points on the target tower, the allowable deformation variable information at the corresponding monitoring point position is extracted to perform the following comparative analysis: if the real-time deformation variable does not exceed the corresponding allowable deformation variable information, a normal deformation result is formed; if the real-time deformation variable exceeds the corresponding allowable deformation variable information, a deformation maintenance result is formed.
[0046] After obtaining the initial fatigue model, it is necessary to conduct a reasonable fatigue analysis on the target tower based on the initial fatigue model. To make the analysis targeted, it is necessary to input personalized parameters into the fatigue model. The most important parameter affecting fatigue damage is the material performance, which can be more intuitively expressed by whether plastic deformation occurs. Therefore, it is very important to monitor the actual deformation of the target tower, and it is also necessary to consider whether the deformation develops to have a strong impact on fatigue damage. This impact can be accurately and reasonably judged through historical fatigue data, that is, a certain degree of inelastic deformation may not have a significant effect on fatigue damage, and it will have a significant impact only when it reaches a certain value. Defining the allowable amount can more accurately update the input of the initial fatigue model.
[0047] S3: Perform maintenance analysis based on the real-time deformation analysis result data and the initial fatigue model of the tower to form target maintenance data.
[0048] According to the real-time deformation analysis result data, maintenance analysis is performed in combination with the initial fatigue model of the tower to form target maintenance data, including: when the real-time deformation analysis results are all normal deformation results, the material of the tower model in the initial fatigue model of the tower is updated according to the real-time deformation amount at different monitoring points to form a real-time fatigue model of the tower; according to the real-time fatigue model of the tower, real-time maintenance analysis is performed to form real-time maintenance information; when there is a deformation maintenance result in the real-time deformation analysis result, the maintenance information after deformation maintenance is obtained for the monitoring point whose real-time deformation amount exceeds the corresponding allowable deformation amount information, and the tower model in the initial fatigue model of the tower is updated in combination with the real-time deformation amount of other monitoring points to form a real-time fatigue model of the tower; according to the real-time fatigue model of the tower, real-time maintenance analysis is performed to form real-time maintenance information.
[0049] The target tower needs to be maintained in terms of deformation. If the deformation is within the normal allowable range, there is no need to consider deformation maintenance. If the deformation exceeds the allowable range, deformation maintenance is required, and maintenance will have an impact on the structural model of the target tower. Therefore, it is necessary to consider the impact of this maintenance on the adjustment and update of the initial fatigue model to ensure the rationality and accuracy of fatigue analysis.
[0050] According to the real-time fatigue model of the tower, real-time maintenance analysis is carried out to form real-time maintenance information, including: for the target tower, the real-time vibration duration of the entire real-time use time from the time of commissioning to the current time point is determined; the real-time vibration duration is divided into time periods and steps, and the time point at which the static duration in each time period step exceeds the corresponding minimum effective static duration is determined, and the corresponding real-time effective total static duration is recorded. k represents the number of different time period steps under the real-time vibration duration; according to the initial equivalent fatigue accumulation W0 and the number of times the tower real-time fatigue model is updated m, the following real-time equivalent fatigue accumulation formula is established: Among them, T m It represents the total vibration duration from the fatigue model update to the next update before the current time point, G m-1 Represents the vibration function input after the fatigue model is updated for the mth time; According to the real-time equivalent fatigue accumulation formula, the total duration of real-time fatigue occurrence T is determined occur ,in: Among them, when k = n, α k =α n , Set the fatigue maintenance factor β and calculate the total fatigue duration T according to the real-time fatigue occur And the total operating time T of the target tower work , make the following analysis and judgment: If T work <T occur *β, then the normal information is used; if T work ≥T occur *β, fatigue maintenance information is formed and the analysis results of the tower real-time fatigue model are input.
[0051] After updating the fatigue analysis model based on real-time deformation data, it is very important to determine the duration of fatigue damage. It can be understood that during the use of the target tower, the initial state is close to the initial fatigue model, and only the actual static time needs to be inserted. As of the current use time of the target tower, the deformation and static time of the use time that has occurred are determined. In this way, on the one hand, the fatigue analysis model can be updated based on the change data monitored by the deformation variable, and the time before and after the update of the analysis model can be determined. On the other hand, the static time can also be determined. It should be noted here that the relationship between the static time and the occurrence time of fatigue damage established for the static time is for the initial model, so the influence of the static time actually obtained on the occurrence time of fatigue damage should also be obtained from the fatigue occurrence time of the initial model. On the other hand, the static time is based on the time insertion point when extracting the relationship. It can be considered that the influence of the static time on the occurrence time of fatigue damage is the same in the time offset allowed before and after the time point. Therefore, the relationship between the static time at the time point and the occurrence time of fatigue damage covers the time period of the next insertion time point, that is, the static time generated in the time period between this insertion time point and the next insertion time point has the same influence on the occurrence time of fatigue damage. At the same time, in order to avoid the static time at different time points in the same time period, the time period step can be adjusted according to the actual situation. The fatigue accumulation is used to determine the duration of fatigue damage to the target tower, so that all analyses are unified, and because the accumulation is the analysis result of the model obtained by big data analysis, the actual fatigue occurrence duration is accurate and reasonable. Of course, the maintenance duration must be shorter than the fatigue damage duration, so the fatigue maintenance factor can be used to adaptively determine the maintenance duration, thereby ensuring more reasonable maintenance operations.
[0052] The present invention also provides a modular assembly structure of a wind turbine tower, which includes: a segmented cylinder module, different segmented cylinder modules are welded and assembled in sequence to form a tower; a displacement monitor, the displacement monitor is arranged at different monitoring points of the target tower, and is used to obtain deformation data of different monitoring points; a historical database, which is used to store historical fatigue data of towers of the same type; a state monitoring and analysis unit, which is used to obtain historical fatigue data in the historical database, establish an initial fatigue model of the tower, collect deformation data of the displacement monitor, perform deformation analysis in combination with the historical fatigue data, form real-time deformation analysis result data, and perform maintenance analysis based on the real-time deformation analysis result data and in combination with the initial fatigue model of the tower, to form target maintenance data.
[0053] The modular segmented barrel design of this structure facilitates the transportation and installation of the tower, greatly improves the installation and transportation efficiency, and reduces the cost of production. The displacement monitor is used to monitor the deformation of the target tower in real time, thereby providing real-time and accurate deformation data. The database can provide a sufficient big data foundation for analysis, thereby ensuring the accuracy and rationality of the initial fatigue analysis model formed. The state monitoring and analysis unit carries out reasonable fatigue analysis of the target tower based on the real-time deformation data collected by the displacement monitor and the historical fatigue data provided by the database, forming a more accurate and reasonable fatigue analysis result, thereby providing an accurate reference for maintenance, which is an important material basis for achieving targeted structural maintenance analysis of the target tower.
[0054] In summary, the wind turbine tower state monitoring method and modular assembly structure provided by the embodiments of the present invention have the following beneficial effects:
[0055] This method extracts reasonable and effective basic cycle load information for the target tower based on the historical fatigue data of the same type of towers, and then establishes a preliminary fatigue analysis model to obtain a reliable fatigue analysis basic model and data. At the same time, for the target tower, the real-time deformation of the target tower is extracted, and the deformation boundary of deformation and fatigue damage occurring on the tower is analyzed in combination with the historical fatigue data, and then the fatigue analysis model of the tower is updated according to the actual deformation information of the target tower, forming a real-time fatigue analysis model for the target tower, obtaining a more accurate fatigue maintenance reference time, and fully ensuring the effective and timely maintenance of the tower.
[0056] The modular segmented barrel design of this structure facilitates the transportation and installation of the tower, greatly improves the installation and transportation efficiency, and reduces the cost of production. The displacement monitor is used to monitor the deformation of the target tower in real time, thereby providing real-time and accurate deformation data. The database can provide a sufficient big data foundation for analysis, thereby ensuring the accuracy and rationality of the initial fatigue analysis model formed. The state monitoring and analysis unit carries out reasonable fatigue analysis of the target tower based on the real-time deformation data collected by the displacement monitor and the historical fatigue data provided by the database, forming a more accurate and reasonable fatigue analysis result, thereby providing an accurate reference for maintenance, which is an important material basis for achieving targeted structural maintenance analysis of the target tower.
[0057] In the embodiments of the present application, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved by means of the arrangement order of each piece of information agreed in advance (for example, specified by the protocol), thereby reducing the indication overhead to a certain extent. At the same time, the common parts of each piece of information can also be identified and indicated uniformly to reduce the indication overhead caused by indicating the same information separately.
[0058] In addition, the specific indication method may also be various existing indication methods, such as but not limited to the above-mentioned indication methods and various combinations thereof. The specific details of the various indication methods can refer to the prior art and will not be repeated herein. As can be seen from the above, for example, when it is necessary to indicate multiple information of the same type, different indication methods may be used for different information. In the specific implementation process, the desired indication method can be selected according to specific needs. The embodiment of the present application does not limit the selected indication method. In this way, the indication method involved in the embodiment of the present application should be understood to cover various methods that can enable the party to be indicated to obtain the information to be indicated.
[0059] It should be understood that the information to be indicated can be sent as a whole, or divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different. The specific sending method is not limited in the embodiment of the present application. Among them, the sending period and / or sending time of these sub-information can be pre-defined, for example, pre-defined according to a protocol, or can be configured by the sending end device by sending configuration information to the receiving end device.
[0060] "Pre-definition" or "pre-configuration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device, and the embodiments of the present application do not limit the specific implementation method. Among them, "saving" can mean saving in one or more memories. The one or more memories can be set separately or integrated in an encoder or decoder, a processor, or a communication device. The one or more memories can also be partially set separately and partially integrated in a decoder, a processor, or a communication device. The type of memory can be any form of storage medium, which is not limited by the embodiments of the present application.
[0061] The "protocol" involved in the embodiments of the present application may refer to a protocol family in the communication field, a standard protocol with a similar protocol family frame structure, or a related protocol used in future communication systems, and the embodiments of the present application do not make specific limitations on this.
[0062] In the embodiments of the present application, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will make corresponding processing under certain objective circumstances. It does not limit the time, nor does it require the device to have a judgment action when implementing it, nor does it mean that there are other limitations.
[0063] In the description of the embodiments of the present application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the embodiments of the present application is only a description of the association relationship of the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. In addition, in the description of the embodiments of the present application, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or its similar expression refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple. In addition, in order to facilitate the clear description of the technical solution of the embodiments of the present application, in the embodiments of the present application, the words "first" and "second" are used to distinguish the same or similar items with basically the same functions and effects. Those skilled in the art will appreciate that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference. At the same time, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.
[0064] It should be understood that the processor in the embodiment of the present application may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.
[0065] It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DRRAM).
[0066] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.
[0067] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.
[0068] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.
[0069] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0070] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0071] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0072] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0073] 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, that is, they 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.
[0074] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0075] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.
[0076] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present 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. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
Claims
1. A method for monitoring the status of a wind turbine tower, characterized in that: include: Acquire historical fatigue data of the same type of towers, and establish an initial fatigue model of the tower based on the historical fatigue data; Collecting real-time deformation data of the target tower, and performing deformation analysis based on the historical fatigue data to form real-time deformation analysis result data; Perform maintenance analysis based on the real-time deformation analysis result data and in combination with the initial fatigue model of the tower to form target maintenance data; The process of obtaining historical fatigue data of the same type of towers and establishing an initial fatigue model of the towers according to the historical fatigue data includes: Extracting the vibration frequency data of the tower that has suffered fatigue damage during use based on the time dimension sequence from the historical fatigue data to form the vibration frequency data of the fatigue tower; According to the fatigue tower vibration frequency data, determine the frequency value of the vibration frequency of different towers that accounts for the longest time during the entire tower service period; According to the frequency values with the longest time proportion corresponding to different towers, the amplitude value is compared to determine the frequency value with the largest time proportion, and marked as the initial effective vibration frequency; According to the initial effective vibration frequency, an initial fatigue analysis model is established, and initial fatigue effective data is determined; Performing an impact analysis based on the non-vibration duration on the initial fatigue analysis model to determine effective static duration data; According to the initial effective vibration frequency, an initial fatigue analysis model is established, and initial fatigue effective data is determined, including: Acquire a tower model, and establish the initial fatigue analysis model using the initial effective vibration frequency as vibration input; Performing a full-duration fatigue vibration analysis on the fatigue analysis initial model based on the initial effective vibration frequency to determine the initial fatigue occurrence time T0 at which fatigue damage occurs to the tower model; According to the initial fatigue occurrence time T0 and the vibration function G0 of the initial effective vibration frequency, the initial equivalent fatigue accumulation W0 of the fatigue analysis initial model for full-duration vibration fatigue damage at the initial effective vibration frequency is determined, wherein: The initial fatigue analysis model is subjected to an impact analysis based on the non-vibration duration to determine effective static duration data, including: Setting a time period step, determining different time points on the initial fatigue occurrence duration T0 in sequence with the time period step, and marking them as static duration insertion time points n; For different static time insertion time points n, the insertion time is gradually increased in the vibration input of the initial fatigue analysis model until the insertion time affects the initial fatigue occurrence time T0, and the minimum time affecting the initial fatigue occurrence time T0 is determined as the minimum effective static time corresponding to the static time insertion time point And the static time fatigue influence amount of the static time on the initial fatigue occurrence time T0 in: α n represents the fatigue static duration influencing factor corresponding to different static duration insertion time points, is the total duration corresponding to the insertion of the static duration at the time point n, and 2. The method for monitoring the status of a wind turbine tower according to claim 1, characterized in that: The real-time deformation data of the target tower is collected, and deformation analysis is performed according to the historical fatigue data to form real-time deformation analysis result data, including: Extracting deformation data of different monitoring points of a fatigue damaged tower during use from the historical fatigue data to form fatigue tower deformation monitoring data; Extracting deformation data of different monitoring points of a tower that has not suffered fatigue damage when fatigue damage occurs during use according to the fatigue tower data, to form normal tower deformation monitoring data; Determining the allowable deformation amount information corresponding to different monitoring points of the target tower according to the fatigue tower deformation monitoring data and the normal tower deformation monitoring data; For the real-time deformation of different monitoring points on the target tower, extract the allowable deformation information at the corresponding monitoring point position and perform the following comparative analysis: If the real-time deformation amount does not exceed the corresponding allowable deformation amount information, a normal deformation result is formed; If the real-time deformation amount exceeds the corresponding allowable deformation amount information, a deformation maintenance result is formed.
3. The method for monitoring the status of a wind turbine tower according to claim 2, characterized in that: The maintenance analysis is performed based on the real-time deformation analysis result data and combined with the initial fatigue model of the tower to form target maintenance data, including: When the real-time deformation analysis results are all the normal deformation results, the material of the tower model in the tower initial fatigue model is updated according to the real-time deformation amounts at different monitoring points to form a tower real-time fatigue model; Performing real-time maintenance analysis based on the tower real-time fatigue model to generate real-time maintenance information; When the real-time deformation analysis result contains the deformation maintenance result, the maintenance information after the deformation maintenance is performed on the monitoring point where the real-time deformation amount exceeds the corresponding allowable deformation amount information is obtained, and the tower model in the tower initial fatigue model is updated in combination with the real-time deformation amount of other monitoring points to form a tower real-time fatigue model; According to the tower real-time fatigue model, real-time maintenance analysis is performed to form real-time maintenance information.
4. The method for monitoring the status of a wind turbine tower according to claim 3, characterized in that: The real-time maintenance analysis is performed according to the real-time fatigue model of the tower to form real-time maintenance information, including: For the target tower, determining the real-time vibration duration of the entire real-time use duration from the time of being put into use to the current time point; The real-time vibration duration is divided into the time period steps, and the time point at which the static duration occurring in each time period step exceeds the corresponding minimum effective static duration is determined, and the corresponding real-time effective total static duration is recorded. k represents the number of different time period steps under the real-time vibration duration; According to the initial equivalent fatigue accumulation W0, and in combination with the number of times m that the tower real-time fatigue model is updated, the following real-time equivalent fatigue accumulation formula is established: Among them, T m It represents the total vibration duration from the fatigue model update to the next update before the current time point, G m-1 represents the vibration function input after the fatigue model is updated for the mth time; According to the real-time equivalent fatigue accumulation formula, the total duration of real-time fatigue occurrence T is determined occur ,in: Among them, when k = n, α k =α n , Set the fatigue maintenance factor β, and according to the total duration T of real-time fatigue occurrence occur And the total operating time T of the target tower work , make the following analysis and judgment: If T work <T occur *β, then the normal information is used; If T work ≥T occur *β, fatigue maintenance information is formed and the analysis results of the tower real-time fatigue model are input.
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