Land wind turbine foundation structure damage identification method and system

Abstract

The invention discloses a land wind turbine foundation structure damage identification method and system, and the method comprises the steps: obtaining monitoring data obtained after a monitoring sensor monitors the preset position of a wind turbine under the actual operation condition of the wind turbine without foundation structure damage; obtaining detection data obtained after the fan with the damaged basic structure is detected; establishing a simulation analysis model according to the design parameters of the fan main body structure; utilizing detection data and the simulation analysis model to obtain basic structure damage identification models of different levels; carrying out calculation by utilizing the basic structure damage identification models of different levels, and respectively obtaining monitoring index calculation values of preset positions under different levels of damage conditions; and comparing the monitoring data of the preset position with the monitoring index calculation values of the preset position under different levels of damage conditions, and identifying the damage level of the wind turbine foundation structure. According to the method, the damage problem of the basic structure of the fan can be effectively identified, and an effective reference is provided for intelligent operation and maintenance of a wind power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of onshore wind turbines, and particularly to a method and system for identifying damage to the foundation structure of an onshore wind turbine. Background Art

[0002] In recent years, damage problems in the concrete foundation structures of onshore wind turbines (hereinafter referred to as "wind turbines") have been successively exposed on a large scale. Different levels of damage to the foundation structure may cause serious consequences such as abnormal shaking of the tower barrel, uplift and subsidence of the tower barrel, breakage of the tower barrel, and collapse of the foundation. Damage to the foundation structure of a wind turbine is a major hidden danger to the safe and stable operation of a wind farm.

[0003] Currently, in the operation and maintenance stage of a wind farm, the health status of the foundation structure is mainly judged through on-site visual inspection. However, since damage to the foundation structure of a wind turbine first occurs internally, there are no obvious phenomena on the surface of the foundation in the initial and middle stages of damage, which is unobservable. It is difficult to detect damage to the foundation structure through visual inspection, and there is also a lack of effective means to identify damage to the foundation structure of a wind turbine. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and system for identifying damage to the foundation structure of an onshore wind turbine in view of at least one defect existing in the related technologies mentioned in the above background art: it is difficult to detect damage to the foundation structure of an onshore wind turbine through visual inspection, and there is also a lack of effective means to identify damage to the foundation structure of an onshore wind turbine.

[0005] The technical solution adopted by the present invention to solve its technical problems is to construct a method for identifying damage to the foundation structure of an onshore wind turbine, the method comprising the following steps:

[0006] Under the actual operating conditions of an onshore wind turbine without damage to the foundation structure, obtain the monitoring data obtained by monitoring sensors for preset positions of the onshore wind turbine;

[0007] Obtain the detection data obtained by detecting an onshore wind turbine with damage to the foundation structure;

[0008] Establish a simulation analysis model according to the design parameters of the main structure of the onshore wind turbine;

[0009] Using the detection data and the simulation analysis model, obtain damage identification models for different levels of the foundation structure;

[0010] Use the damage identification models for different levels of the foundation structure to calculate, and respectively obtain the calculated values of the monitoring indicators for preset positions under different levels of damage;

[0011] Compare the monitoring data of the preset positions with the calculated values of the monitoring indicators for the preset positions under different levels of damage to identify the damage level of the foundation structure of the onshore wind turbine.

[0012] In some embodiments, the monitoring data obtained after the monitoring sensor monitors the preset positions of the onshore wind turbine includes:

[0013] Obtain the monitoring data obtained after the inclination sensor and the vibration sensor monitor the foundation ring of the onshore wind turbine;

[0014] Obtain the monitoring data obtained after the stress sensor monitors the contact edge between the tower barrel and the foundation of the onshore wind turbine.

[0015] In some embodiments, a simulation analysis model is established according to the design parameters of the main structure of the onshore wind turbine, and then it further includes:

[0016] Calculate the equivalent loads generated by the nacelle, blades of the onshore wind turbine and different wind speeds on the main structure of the onshore wind turbine, and add the equivalent loads generated on the main structure of the onshore wind turbine to the simulation analysis model.

[0017] In some embodiments, the method further includes:

[0018] Modify the simulation analysis model according to the monitoring data to obtain a modified simulation analysis model.

[0019] In some embodiments, modifying the simulation analysis model according to the monitoring data to obtain a modified simulation analysis model includes:

[0020] Using the sensitivity analysis method, combined with the monitoring data, perform parametric modification on the simulation analysis model to obtain a modified simulation analysis model.

[0021] In some embodiments, using the detection data and the simulation analysis model to obtain structure damage identification models of different levels, including:

[0022] Use the detection data to obtain the damage locations and damage ranges of the foundation structure of the onshore wind turbine, and continue to add different levels of structural damage to the damage locations and damage ranges of the foundation structure in the simulation analysis model to obtain structure damage identification models of different levels of the foundation structure.

[0023] In some embodiments, compare the monitoring data of the preset positions with the calculated values of the monitoring indicators at the preset positions under different levels of damage to identify the damage level of the foundation structure of the onshore wind turbine, including:

[0024] Perform data cleaning and analysis calculation on the monitoring data of the preset positions to obtain the measured monitoring values, and compare them with the calculated values of the monitoring indicators at the preset positions under different levels of damage to identify the damage level of the foundation structure of the onshore wind turbine.

[0025] In some embodiments, the method further includes:

[0026] If the measured value of the preset position exceeds the calculated value of the monitoring index, the early warning determination process is entered.

[0027] In some embodiments, the early warning determination process includes:

[0028] Within a preset time, if the number of times the measured value of the same preset position exceeds the calculated value of the monitoring index at the same level is greater than or equal to the first threshold, an alarm is issued according to the corresponding level;

[0029] Within a preset time, if the number of times the measured values of different preset positions exceed the calculated value of the monitoring index at the same level is greater than or equal to the second threshold, an alarm is issued according to the highest level that appears;

[0030] Within a preset time, if the number of times the measured value of the same preset position exceeds the calculated value of the monitoring index is greater than or equal to the third threshold and the level increases, an alarm is issued according to the highest level that appears;

[0031] Within a preset time, if the number of times the measured values of different preset positions exceed the calculated value of the monitoring index is greater than or equal to the fourth threshold and the level increases, an alarm is issued according to the highest level that appears.

[0032] The present invention also constructs a land wind turbine foundation structure damage identification system, including:

[0033] Monitoring sensors;

[0034] One or more processors;

[0035] A storage device for storing one or more programs, which when executed by one or more processors, cause the one or more processors to implement the land wind turbine foundation structure damage identification method as described in any one of the above.

[0036] By implementing the present invention, the following beneficial effects are achieved:

[0037] The present invention mainly aims at the problem of damage to the foundation structure of land wind turbines. By combining monitoring data, detection data, and simulation analysis models, it can comprehensively, effectively, and timely identify the problem of damage to the foundation structure of land wind turbines, provide an effective reference for the intelligent operation and maintenance of wind farms, so that wind farms can take effective countermeasures, reduce the power generation losses caused by shutdown treatment or unit collapse due to foundation structure damage, reduce long-term maintenance costs, and improve the operation safety of units and the production efficiency of power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the drawings and embodiments. In the drawings:

[0039] Figure 1The flowchart of an embodiment in the method for identifying the damage of the onshore wind turbine foundation structure of the present invention is shown;

[0040] Figure 2 The flowchart of the early warning determination link in an embodiment of the method for identifying the damage of the onshore wind turbine foundation structure of the present invention is shown. Detailed implementation manners

[0041] For a clearer understanding of the technical features, objectives, and effects of the present invention, the detailed implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0042] It should be noted that the flowcharts shown in the drawings are only illustrative descriptions, and do not necessarily include all the contents and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined. Therefore, the actual execution order may be changed according to the actual situation.

[0043] The block diagrams shown in the drawings are only functional entities, and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0044] As Figure 1 shown, some embodiments of the present invention disclose a method for identifying the damage of the onshore wind turbine foundation structure, and the method includes the following steps:

[0045] Under the actual operating conditions of the onshore wind turbine without foundation structure damage, obtain the monitoring data (i.e., real-time data) obtained by the monitoring sensor monitoring the preset position of the onshore wind turbine;

[0046] Obtain the detection data obtained by detecting the onshore wind turbine with foundation structure damage. It can be understood that onshore wind turbines with different levels (slight, moderate, severe) of foundation structure damage can be selected;

[0047] Establish a simulation analysis model according to the design parameters of the onshore wind turbine main structure;

[0048] Utilize the detection data and the simulation analysis model to obtain the foundation structure damage identification models of different levels;

[0049] Use the foundation structure damage identification models of different levels for calculation, and respectively obtain the calculated values of the monitoring indicators at the preset position under different levels of damage, that is, as the alarm thresholds for monitoring the structural damage;

[0050] Compare the monitoring data at the preset location with the calculated values of the monitoring indicators at the preset location under different levels of damage to identify the damage level of the onshore wind turbine foundation structure.

[0051] This embodiment mainly focuses on the damage problem of the onshore wind turbine foundation structure. By combining monitoring data, detection data, and simulation analysis models, it can comprehensively, effectively, and timely identify the damage problem of the onshore wind turbine foundation structure, provide an effective reference for the intelligent operation and maintenance of the wind farm, so that the wind farm can take effective countermeasures to reduce the power generation losses caused by downtime treatment or unit collapse due to foundation structure damage, reduce long-term maintenance costs, and improve the operation safety of the unit and the production efficiency of the power plant.

[0052] In some embodiments, obtain the monitoring data obtained by the monitoring sensor monitoring the preset location of the onshore wind turbine, including:

[0053] Obtain the monitoring data obtained by the inclination sensor and the vibration sensor monitoring the foundation ring of the onshore wind turbine;

[0054] Obtain the monitoring data obtained by the stress sensor monitoring the contact edge between the tower barrel and the foundation of the onshore wind turbine.

[0055] Specifically, select an onshore wind turbine without foundation structure damage (i.e., the foundation structure is in good condition), install an inclination sensor and a vibration sensor at the foundation ring (specifically, 0.5 m above the flange of the foundation ring), and install a stress sensor at the contact edge between the tower barrel and the foundation. In some embodiments, a wind speed sensor is also installed outside the nacelle platform at the top of the tower barrel.

[0056] It should be noted here that the main structure of the onshore wind turbine includes a foundation, a foundation ring, and a tower barrel. The foundation is a large and heavy concrete structure block located on the ground, which is used to support the entire onshore wind turbine and the forces it receives. The foundation ring is a steel part embedded in the foundation concrete. It is a transition member connecting the foundation and the tower barrel and is also a key member connecting the steel tower barrel and the foundation. The tower barrel plays a role in supporting the nacelle, blades, etc., and adjusts the height to make the onshore wind turbine operate in the optimal wind energy resource area.

[0057] In some embodiments, the simulation analysis model is a simulation analysis model of a finite element structure. Establish a simulation analysis model according to the design parameters of the main structure of the onshore wind turbine, and then it also includes:

[0058] Calculate the equivalent loads generated by the nacelle, blades of the onshore wind turbine, and different wind speeds on the main structure of the onshore wind turbine, and add the equivalent loads generated on the main structure of the onshore wind turbine to the simulation analysis model. Among them, the wind speed can be obtained by the wind speed sensor.

[0059] In some embodiments, the method further includes:

[0060] Modify the simulation analysis model according to the monitoring data to obtain a modified simulation analysis model, so that it can more accurately reflect the actual operating state of the onshore wind turbine.

[0061] In some embodiments, modifying the simulation analysis model according to the monitoring data to obtain a modified simulation analysis model specifically includes:

[0062] Using the sensitivity analysis method and combining with the monitoring data, perform parametric modification on the simulation analysis model to obtain a modified simulation analysis model, which is more consistent with the actual wind turbine state.

[0063] In some embodiments, using the sensitivity analysis method and combining with the monitoring data, perform parametric modification on the simulation analysis model to obtain a modified simulation analysis model specifically includes:

[0064] Construct an objective function with the mean square deviation of the actually measured tilt angle, vibration characteristics and stress and the corresponding parameters in the simulation analysis model, and modify the tower stiffness and elastic modulus parameters, as well as the foundation elastic modulus parameters according to the objective function to obtain a modified simulation analysis model, so that its simulation calculation results are closer to the actual response of the wind turbine.

[0065] In some embodiments, using the detection data and the simulation analysis model (specifically the modified simulation analysis model), obtain different levels of foundation structure damage identification models, specifically including:

[0066] Use the detection data to obtain the damage location and damage range of the onshore wind turbine foundation structure, and continue to add different levels of structural damage to the damage location and damage range of the foundation structure in the simulation analysis model (specifically the modified simulation analysis model) to obtain different levels of foundation structure damage identification models, which can provide inputs for the accurate identification of the wind turbine foundation structure damage and its level.

[0067] Specifically, use the ANSYS birth and death element command stream to continue to add different levels (slight, moderate, severe) of structural damage to the damage location and damage range of the foundation structure in the simulation analysis model (specifically the modified simulation analysis model).

[0068] ANSYS birth and death elements can be used to simulate some special working conditions. Use the detection data to obtain the damage location and damage range of the onshore wind turbine foundation structure. Use the ANSYS command stream program to multiply the relevant unit parameter matrix in the simulation analysis model (specifically the modified simulation analysis model) by a factor, and the factor value can be adjusted through the ESTIF command to make the unit parameter value approximately zero, so that it does not produce any effect on the load, which is equivalent to "killing" the unit. Through the birth and death elements, the structural response of the onshore wind turbine foundation with damage during operation can be more accurately simulated.

[0069] In some embodiments, the calculated values of the monitoring indicators include tilt angle values, vibration characteristics, and stress values.

[0070] In some embodiments, the monitoring data at a preset position is compared with the calculated values of the monitoring indicators at the preset position under different levels of damage to identify the damage level of the onshore wind turbine foundation structure. Specifically, it includes:

[0071] Clean and analyze the monitoring data at the preset position to obtain the measured monitoring values, and compare them with the calculated values of the monitoring indicators at the preset position under different levels of damage to identify the damage level of the onshore wind turbine foundation structure.

[0072] In some embodiments, the method further includes: if the monitoring data (specifically, the measured monitoring values) at the preset position exceeds the calculated value of the monitoring indicator, enter the early warning determination link, which can send an early warning message to the wind farm in advance.

[0073] In some embodiments, in order to reduce the false alarm rate and improve the recognition accuracy, the early warning determination link includes:

[0074] Within a preset time, if the number of times the measured monitoring value at the same preset position exceeds the calculated value of the monitoring indicator at the same level is greater than or equal to the first threshold, alarm according to the corresponding level;

[0075] Within a preset time, if the number of times the measured monitoring values at different preset positions exceed the calculated value of the monitoring indicator at the same level is greater than or equal to the second threshold, alarm according to the highest level that appears;

[0076] Within a preset time, if the number of times the measured monitoring value at the same preset position exceeds the calculated value of the monitoring indicator is greater than or equal to the third threshold and the level increases, alarm according to the highest level that appears;

[0077] Within a preset time, if the number of times the measured monitoring values at different preset positions exceed the calculated value of the monitoring indicator is greater than or equal to the fourth threshold and the level increases, alarm according to the highest level that appears.

[0078] Among them, the second threshold is the same as the third threshold, both being half of the first threshold, and the fourth threshold is one-fourth of the first threshold.

[0079] Specifically, as Figure 2 shown, when the measured monitoring value at the preset position exceeds the calculated value of the monitoring indicator, start timing t and calculate the number of times n, and determine whether the exceeded time t is less than or equal to the preset time T;

[0080] If the exceeded time t is greater than the preset time T, do not alarm and the early warning determination link ends;

[0081] If the time exceeded t is less than or equal to the preset time T, it is judged whether the number of times exceeded n is greater than or equal to the first threshold N;

[0082] If the number of times exceeded n is greater than or equal to the first threshold N, an alarm is given according to the corresponding level, and the early warning determination link ends;

[0083] If the number of times exceeded n is less than the first threshold N, it is judged whether the measured values of the monitoring at different preset positions exceed the calculated values of the monitoring indicators;

[0084] If the measured values of the monitoring at different preset positions exceed the calculated values of the monitoring indicators, it is judged whether the level has been improved. If the level has been improved, it is judged whether the number of times exceeded n is greater than or equal to one-fourth of the first threshold N; if the level has not been improved, that is, at the same level, it is judged whether the number of times exceeded n is greater than or equal to one-half of the first threshold N;

[0085] If it is judged that the measured values of the monitoring at different preset positions do not exceed the calculated values of the monitoring indicators, it is judged whether the level has been improved. If the level has been improved, it is judged whether the number of times exceeded n is greater than or equal to one-half of the first threshold N; if the level has not been improved, that is, at the same level, the timing t and the calculation times n are restarted;

[0086] If the number of times exceeded n is greater than or equal to one-fourth of the first threshold N or the number of times exceeded n is greater than or equal to one-half of the first threshold N, an alarm is given according to the highest level that appears, and the early warning determination link ends;

[0087] If the number of times exceeded n is less than one-fourth of the first threshold N or it is judged that the number of times exceeded n is less than one-half of the first threshold N, the timing t and the calculation times n are restarted.

[0088] The present invention also discloses a land wind turbine foundation structure damage identification system, including: monitoring sensors, one or more processors, and a storage device. The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the land wind turbine foundation structure damage identification method as described in any one of the above embodiments, which will not be elaborated here.

[0089] By implementing the present invention, the following beneficial effects are achieved:

[0090] The present invention mainly aims at the problem of the foundation structure damage of land wind turbines. By combining monitoring data, detection data, and a simulation analysis model, the problem of the foundation structure damage of land wind turbines can be comprehensively, effectively, and timely identified, providing an effective reference for the intelligent operation and maintenance of wind farms, so that wind farms can take effective countermeasures to reduce the power generation losses caused by downtime treatment or unit collapse due to foundation structure damage, reduce long-term maintenance costs, and improve the operation safety of the units and the production efficiency of the power station.

[0091] It can be understood that the above embodiments only represent some implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, the above embodiments or technical features can be freely combined, and several deformations and improvements can also be made. These all belong to the protection scope of the present invention, that is, the embodiments described in "in some embodiments" can be freely combined with any of the above or below embodiments. Therefore, all equivalent transformations and modifications made to the scope of the claims of the present invention shall fall within the scope covered by the claims of the present invention.

Claims

1. A method for identifying structural damage of a land wind turbine foundation, characterized in that: The method comprises the following steps: Under actual operating conditions of a land wind turbine without foundation structure damage, monitoring data obtained after a monitoring sensor monitors a preset position of the land wind turbine; Obtaining test data from onshore wind turbines with structural damage; Establish a simulation analysis model based on the design parameters of the main structure of the onshore wind turbine; Using the test data and simulation analysis model, we can obtain different levels of infrastructure damage identification models; Using different levels of infrastructure damage identification models to perform calculations, the calculated values ​​of monitoring indicators at preset locations under different levels of damage are obtained; The monitoring data at the preset location is compared with the calculated values ​​of the monitoring indicators at the preset location under different levels of damage to identify the damage level of the onshore wind turbine foundation structure.

2. The onshore wind turbine foundation structure damage identification method according to claim 1, characterized in that: The monitoring data obtained after the monitoring sensor monitors the preset position of the onshore wind turbine includes: Acquire monitoring data obtained by using inclination sensors and vibration sensors to monitor the foundation ring of the onshore wind turbine; The monitoring data obtained by obtaining stress sensors after monitoring the tower and foundation contact edge of the onshore wind turbine.

3. The onshore wind turbine foundation structure damage identification method according to claim 1, characterized in that: A simulation analysis model is established based on the design parameters of the main structure of the onshore wind turbine, which also includes: Calculate the equivalent loads on the main structure of the land wind turbine caused by the nacelle, blades and different wind speeds, and add the equivalent loads on the main structure of the land wind turbine into the simulation analysis model.

4. The onshore wind turbine foundation structure damage identification method according to claim 1, characterized in that: The method further includes: The simulation analysis model is modified according to the monitoring data to obtain a modified simulation analysis model.

5. The onshore wind turbine foundation structure damage identification method according to claim 4, characterized in that: The simulation analysis model is modified according to the monitoring data to obtain a modified simulation analysis model, including: By using the sensitivity analysis method and combining the monitoring data, the simulation analysis model is parameter-corrected to obtain the corrected simulation analysis model.

6. The onshore wind turbine foundation structure damage identification method according to claim 1, characterized in that: Using the test data and simulation analysis model, different levels of structural damage identification models are obtained, including: The detection data is used to obtain the damaged location and damage range of the onshore wind turbine foundation structure, and different levels of structural damage are then added to the damaged location and damage range of the foundation structure in the simulation analysis model to obtain foundation structure damage identification models of different levels.

7. The onshore wind turbine foundation structure damage identification method according to claim 1, characterized in that: Compare the monitoring data at the preset location with the calculated values ​​of the monitoring indicators at the preset location under different levels of damage to identify the damage level of the onshore wind turbine foundation structure, including: The monitoring data at the preset locations are cleaned, analyzed and calculated to obtain the actual monitoring values, which are then compared with the calculated values ​​of the monitoring indicators at the preset locations under different levels of damage to identify the damage level of the onshore wind turbine foundation structure.

8. The onshore wind turbine foundation structure damage identification method according to claim 7, characterized in that: The method further includes: If the actual monitoring value at the preset location exceeds the calculated value of the monitoring index, the early warning judgment stage will be entered.

9. The onshore wind turbine foundation structure damage identification method according to claim 8, characterized in that: The early warning determination phase includes: Within the preset time, if the number of times the monitored measured value at the same preset location exceeds the calculated value of the monitoring indicator at the same level is greater than or equal to the first threshold, an alarm is issued according to the corresponding level; Within the preset time, if the number of times the monitored measured values ​​at different preset locations exceed the calculated values ​​of the monitoring indicators at the same level is greater than or equal to the second threshold, an alarm is issued according to the highest level that occurs; Within the preset time, if the number of times the monitored measured value at the same preset location exceeds the calculated value of the monitoring index is greater than or equal to the third threshold, and the level is increased, an alarm is issued according to the highest level that occurs; Within the preset time, if the number of times the actual monitoring values ​​at different preset locations exceed the calculated values ​​of the monitoring indicators is greater than or equal to the fourth threshold, and the level is increased, an alarm is issued according to the highest level that occurs.

10. A land wind turbine foundation structure damage identification system, characterized in that: include: Monitoring sensors; one or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, enables the one or more processors to implement the method for identifying damage to a land wind turbine foundation structure as described in any one of claims 1 to 9.

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