Tower deterioration diagnosis method and tower deterioration diagnosis system for wind power generation facility

The method and system for diagnosing wind turbine tower deterioration through video analysis and vibration characteristic calculation address the challenge of assessing tower condition, facilitating timely repairs and reducing collapse risks.

JP2025102556APending Publication Date: 2025-07-08KK TOSHIBA +1
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
JP2023220077
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-26
Publication Date
2025-07-08

AI Technical Summary

Technical Problem

Existing wind power generation facilities face challenges in diagnosing tower deterioration, which can lead to collapse accidents due to excessive loads during strong winds or material fatigue, necessitating an effective method for assessing tower condition.

Method used

A method and system for diagnosing tower deterioration involving video shooting, image analysis to calculate displacement waveforms, and calculating vibration characteristics to determine the tower's condition, including natural frequency and mode analysis for accurate diagnosis.

Benefits of technology

Enables easy and accurate diagnosis of tower deterioration, allowing for timely repair planning and reducing the risk of collapse by identifying deterioration points and tracking secular changes in natural frequency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2025102556000001_ABST
    Figure 2025102556000001_ABST
Patent Text Reader

Abstract

To provide a tower deterioration diagnosis method for a wind power generation facility that can easily diagnose a deterioration state of a tower.SOLUTION: A tower deterioration diagnosis method for a wind power generation facility comprises: a photographing step of taking a moving image of a tower; a waveform calculation step of performing an image analysis of the moving image, and calculating a displacement waveform of the tower; a characteristic calculation step of calculating a vibration characteristic of the tower from the displacement waveform; and a diagnosis step of diagnosing a deterioration of the tower on the basis of the vibration characteristic.SELECTED DRAWING: Figure 1
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] Embodiments of the present invention relate to a method for diagnosing tower deterioration of a wind power generation facility and a tower deterioration diagnosis system.

Background Art

[0002] A wind power generation facility can generate electricity by rotating a windmill including a plurality of windmill blades with wind energy. The windmill is rotatably provided in a nacelle, and the nacelle is supported by a tower that extends vertically and elongately.

[0003] Several cases of tower collapse accidents of such wind power generation facilities have been reported. In many cases, it is caused by the loss of power during strong winds and becoming uncontrollable, resulting in an excessive load acting on the tower. However, there are also cases where cracks occurred at the welded parts and progressed over time. In recent years, due to the increasing number of wind power generation facilities, there is also a concern that tower collapse accidents will increase in the future.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] Embodiments are made in consideration of such points, and an object is to provide a method for diagnosing tower deterioration of a wind power generation facility and a tower deterioration diagnosis system that can easily diagnose the deterioration status of a tower.

Means for Solving the Problems

[0006] The tower deterioration diagnosis method for a wind power generation facility according to the embodiment includes a shooting step of shooting a video of the tower, a waveform calculation step of performing image analysis of the video and calculating a displacement waveform of the tower, a characteristic calculation step of calculating vibration characteristics of the tower from the displacement waveform, and a diagnosis step of diagnosing deterioration of the tower based on the vibration characteristics.

[0007] The tower deterioration diagnosis system for a wind power generation facility according to the embodiment includes a shooting unit that shoots a video of the tower, a waveform calculation unit that performs image analysis of the video and calculates a displacement waveform of the tower, a characteristic calculation unit that calculates vibration characteristics of the tower from the displacement waveform, and a diagnosis unit that diagnoses deterioration of the tower based on the vibration characteristics.

Effect of the Invention

[0008] According to the embodiment, the deterioration status of the tower can be easily diagnosed.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Embodiments for Carrying Out the Invention

[0010] Hereinafter, with reference to the drawings, a tower deterioration diagnosis system and a tower deterioration diagnosis method for a wind power generation facility according to the present embodiment will be described.

[0011] With reference to FIG. 1, a wind power generation facility 1 to which a tower deterioration diagnosis system 10 according to the present embodiment is applied will be described. The wind power generation facility 1 is installed on the ground.

[0012] As shown in FIG. 1, the wind power generation facility 1 includes a tower 2 extending vertically and slenderly, a nacelle 3 supported by the tower 2, and a rotor 4 rotatably provided on the nacelle 3. A generator (not shown) is connected to the rotor 4, and power generation is performed by the rotation of the rotor 4. The nacelle 3 is configured to be rotatable within a plane perpendicular to the longitudinal axis of the tower 2. The rotor 4 is composed of a hub 5 and a plurality of wind turbine blades 6 supported by the hub 5. The number of the wind turbine blades 6 is arbitrary.

[0013] Next, the tower deterioration diagnosis system 10 according to the present embodiment will be described with reference to FIG. 2. The tower deterioration diagnosis system 10 is a system for diagnosing the deterioration of the tower 2 of the wind power generation facility 1.

[0014] The tower deterioration diagnosis system 10 includes a camera 11 and a tower deterioration diagnosis device 20.

[0015] The camera 11 is an example of an imaging unit. The camera 11 can capture a moving image of the tower 2 and create moving image data. The camera 11 may be configured separately from the tower deterioration diagnosis device 20 and may be portable.

[0016] The tower deterioration diagnosis device 20 may include a communication unit 21, a storage unit 22, a waveform calculation unit 23, a characteristic calculation unit 24, a diagnosis unit 28, and a display unit 32. The tower deterioration diagnosis device 20 may be configured by, for example, a portable terminal such as a personal computer or a tablet.

[0017] The communication unit 21 is configured to be communicable with the above-described camera 11. For example, when the camera 11 is wired to the tower deterioration diagnosis device 20, the communication unit 21 may be configured to be able to receive video data created by the camera 11. Alternatively, the communication unit 21 may be capable of wireless communication with the camera 11.

[0018] The storage unit 22 stores arbitrary information. For example, the storage unit 22 may store the video data of the camera 11 received by the communication unit 21. Further, the storage unit 22 may store various information such as a displacement waveform, a natural frequency, a natural frequency threshold value, a natural vibration mode, a normalized natural vibration mode, a mode difference threshold value, and a diagnosis result, which will be described later.

[0019] The waveform calculation unit 23 performs image analysis of the video captured by the camera 11 and calculates the displacement waveform of the tower 2 as shown in FIG. 3. The displacement waveform shows the time change of the amplitude. The displacement waveform may be a waveform showing the amplitudes along two orthogonal directions in the horizontal plane. In FIG. 3, as an example, the amplitude in the x direction in the horizontal plane is shown by a solid line, and the amplitude in the y direction is shown by a broken line.

[0020] The position of the displacement waveform calculated by the waveform calculation unit 23 is arbitrary. For example, one target point (for example, P shown in FIG. 1) may be set at the upper part of the tower 2, and the displacement waveform at this target point may be calculated. The target point is set on the outer surface of the tower 2. Alternatively, a plurality of target points P1 to P may be set at different height positions in the tower 2, and the displacement waveforms at each of the target points P1 to P may be calculated. n ) and the displacement waveform at this target point may be calculated. The target point is set on the outer surface of the tower 2. Alternatively, a plurality of target points P1 to P different from each other in height positions in the tower 2 n are set, and the displacement waveforms at each of the target points P1 to P n may be calculated. The plurality of target points P1 to P nmay be arranged along the outer surface of the tower 2 and in the vertical direction. The number of target points P1 to P n will be described later.

[0021] The characteristic calculation unit 24 calculates the vibration characteristics of the tower 2 from the displacement waveform. The characteristic calculation unit 24 may include a natural frequency calculation unit 25, a natural vibration mode calculation unit 26, and a mode normalization unit 27.

[0022] The natural frequency calculation unit 25 calculates the natural frequency of the tower 2 from the displacement waveform. More specifically, the natural frequency calculation unit 25 performs a Fourier transform on the displacement waveform to calculate a spectrum, and calculates the natural frequency existing in the spectrum. The amplitude used for calculating the natural frequency may be the amplitude in the x direction shown in FIG. 3, or the amplitude in the y direction, and is arbitrary. The spectrum shows the relationship between the frequency and the amplitude, and the frequency at which the amplitude reaches a peak is calculated as the natural frequency. When there are a plurality of peaks, the frequency at which the peak with the largest amplitude is reached, or the peak closest to the assumed natural frequency may be calculated as the natural frequency. The natural frequency may be calculated from the displacement waveform at any target points P1 to P n . For example, in the waveform calculation unit 23, the natural frequency may be calculated from the displacement waveform at the target point P n located at the highest position.

[0023] The natural vibration mode calculation unit 26 calculates the natural vibration mode of the tower 2 based on the natural frequency. An example of the natural vibration mode is shown by a solid line in FIG. 4(a). As shown in FIG. 4(b), the natural vibration mode calculation unit 26 calculates the amplitude at the natural frequency (hereinafter referred to as the natural frequency amplitude x n ) for each of the target points P1 to P k . More specifically, the natural vibration mode calculation unit 26 calculates a spectrum by performing a Fourier transform on the displacement waveform for each of the target points P1 to P n . The amplitude corresponding to the natural frequency in this spectrum is calculated as the natural frequency amplitude x k .

[0024] To the extent that the accuracy of the deterioration diagnosis based on the natural vibration mode can be maintained, the number of target points P1 to P n may be set. That is, when the number of target points P1 to P n is small, the accuracy of the natural vibration mode may decrease, and the accuracy of the deterioration diagnosis based on the natural vibration mode may decrease. Therefore, while taking into account the desired accuracy of the deterioration diagnosis, the number of target points P1 to P n may be set.

[0025] The natural vibration mode calculation unit 26 calculates the normal natural vibration mode of the tower 2 based on the normal natural frequency. The normal natural frequency may be the natural vibration frequency of the tower 2 in the normal state, or the natural vibration frequency of the tower 2 at the time of design. An example of the normal natural vibration mode is shown by the broken line in FIG. 4(a). As shown in FIG. 4(b), the natural vibration mode calculation unit 26, in the same manner as the natural vibration frequency amplitude x k , for each of the target points P1 to P n , calculates the amplitude at the normal natural frequency (hereinafter referred to as the normal natural frequency amplitude a k ). The normal natural frequency and the displacement waveforms for each of the target points P1 to P n in the normal state may be stored in the storage unit 22.

[0026] The mode normalization unit 27 normalizes the natural vibration mode to calculate a normalized natural vibration mode as shown by the solid line in FIG. 5(a). For example, as shown in FIG. 5(b), the mode normalization unit 27 normalizes the natural vibration frequency amplitude x n at each of the target points P1 to P k so that the maximum natural vibration frequency amplitude x max becomes 1, and obtains a normalized natural vibration frequency amplitude x n '. In the first vibration mode, the natural vibration frequency amplitude can be maximized at the target point P k located at the highest position, but in the second vibration mode or the third vibration mode, etc., it can be maximized at a target point other than the target point P k . n In the second or third vibration mode, etc., it can be maximized at a target point other than the target point P n .

[0027] The mode normalization unit 27 normalizes the normal eigenmodes to calculate the normalized normal eigenmodes as shown by the dashed line in Fig. 5(a). For example, as shown in Fig. 5(b), the mode normalization unit 27 normalizes the normal eigenfrequency amplitudes a n at each target point P1 to P k such that the maximum normal eigenfrequency amplitude a max is set to 1, and normalizes the normal eigenfrequency amplitudes a n at each target point P1 to P k to obtain the normalized normal eigenfrequency amplitude a k '. In the primary vibration mode, the normal eigenfrequency amplitude can also be maximum at the target point P n located at the highest position. However, in the secondary vibration mode or the tertiary vibration mode, etc., it can be maximum at target points other than the target point P n .

[0028] The diagnosis unit 28 diagnoses the deterioration of the tower 2 based on the vibration characteristics obtained as described above. The diagnosis unit 28 may include a frequency diagnosis unit 29, a mode diagnosis unit 30, and a deterioration position estimation unit 31.

[0029] The frequency diagnosis unit 29 diagnoses the deterioration of the tower 2 based on whether the natural frequency calculated by the natural frequency calculation unit 25 is equal to or less than a natural frequency threshold value (see Fig. 6). Generally, the natural frequency of the tower 2 has a tendency to decrease over time as shown in Fig. 6. Therefore, a permissible natural frequency threshold value is set, and when the natural frequency obtained as described above is equal to or less than the natural frequency threshold value, it is diagnosed that the tower 2 is deteriorated. Fig. 6 shows the natural frequencies calculated in the past. The past natural frequencies may be stored in the storage unit 22.

[0030] The mode diagnosis unit 30 diagnoses the deterioration of the tower 2 based on whether the root mean square of the difference between the normalized eigenmode and the normalized normal eigenmode exceeds a mode difference threshold value. More specifically, the mode diagnosis unit 30 calculates, for each target point P1 to P n the normalized eigenfrequency amplitude x k' and the square root of the sum of the squares of the difference from the normalized normal natural frequency amplitude a k Based on whether the square root of the sum of the squares of the difference from 'exceeds the mode difference threshold, the deterioration of Tower 2 is diagnosed.

[0031] More specifically, the normalized natural frequency amplitude x k ' and the normalized normal natural frequency amplitude a k The square root of the sum of the squares of the difference T from' is expressed by the following formula.

Equation

Equation

[0032] When the square root of the sum of the squares T calculated by the above formula exceeds the mode difference threshold, the mode diagnosis unit 30 diagnoses that Tower 2 is deteriorated.

[0033] The deterioration position estimation unit 31 estimates the position of the deterioration point of Tower 2 based on the difference between the amplitude change rate at each target point P1 to P n based on the normalized natural vibration mode and the corresponding target points P1 to P n based on the amplitude change rate at the normal natural vibration mode. The amplitude change rate means the change rate in the height direction of the amplitude at the target points P1 to P n More specifically, if the height of each target point P1 to P n is h k then the amplitude change rate based on the normalized natural vibration mode is calculated by the following formula.

Equation

[0034] The amplitude change rate based on the normal natural vibration mode is calculated by the following formula.

Equation

[0035] The target point at which the difference between the rate of change of amplitude calculated by Equation (2) and the rate of change of amplitude calculated by Equation (3) changes abruptly corresponds to the deterioration point of Tower 2. For example, the target point with the largest difference between the rate of change of amplitude calculated by Equation (2) and the rate of change of amplitude calculated by Equation (3) may be estimated as the deterioration point of Tower 2. Alternatively, the target point with the largest rate of change of the difference between the rate of change of amplitude calculated by Equation (2) and the rate of change of amplitude calculated by Equation (3) may be estimated as the deterioration point of Tower 2.

[0036] The waveform calculation unit 23, the characteristic calculation unit 24, and the diagnosis unit 28 described above may be configured as one processing unit. Each function of the processing unit may be realized, for example, by executing a computer program. This program may be stored in the storage unit 22, or may be installed from a recording medium (not shown).

[0037] The display unit 32 displays the diagnosis result of Tower 2 obtained by the diagnosis unit 28 described above. More specifically, the display unit 32 may display the result of diagnosing whether the natural frequency is less than or equal to the natural frequency threshold value. For example, a graph of the natural frequency shown in FIG. 6 may be displayed on the display unit 32. In this case, the natural frequencies calculated in the past may also be displayed. The display unit 32 may display the result of diagnosing whether the square root of the sum of squares of the difference between the normalized natural vibration mode and the normalized normal natural vibration mode exceeds the mode difference threshold value. For example, a graph of the normalized natural vibration mode shown in FIG. 5(a) may be displayed. The display unit 32 may display the deterioration point of Tower 2 estimated by the deterioration position estimation unit 31. The display unit 32 may be a display.

[0038] Next, the operation of the present embodiment having such a configuration will be described. Here, the tower deterioration diagnosis method of the wind power generation facility 1 will be described with reference to FIG. 7.

[0039] First, as the photographing step S1, using the camera 11, a video of the tower 2 of the wind power generation facility 1 is photographed. For example, the camera 11 is installed at a position where the entire tower 2 is within the field of view, and the video is photographed for a predetermined time. The camera 11 may be installed near the tower 2 when shooting the video, or may be constantly installed on the wind power generation facility 1. During the video shooting, the wind power generation facility 1 may be operating or may be stopped. The camera 11 may change the yaw angle of the nacelle 3 according to the wind direction during the video shooting in order to photograph the video of the tower 2. In this case, the video of the tower 2 when the yaw angle changes can be photographed. Also, the video may be photographed at a timing when vibration is likely to occur in the tower 2, such as during strong winds or when the wind speed changes greatly. After the video shooting is completed, the camera 11 is connected to the tower degradation diagnosis device 20, and the video data created by the camera 11 is transmitted to the communication unit 21.

[0040] Subsequently, as the waveform calculation step S2, image analysis of the video is performed to calculate the displacement waveform of the tower 2 (see FIG. 3). Here, a plurality of target points P1 to P located at different height positions in the tower 2 n The displacement waveform at is calculated.

[0041] Next, as the characteristic calculation steps S3 to S5, the vibration characteristics of the tower 2 are calculated from the displacement waveform. The characteristic calculation steps S3 to S5 according to the present embodiment include a natural frequency calculation step S3, a natural vibration mode calculation step S4, and a mode normalization step S5.

[0042] First, as the natural frequency calculation step S3, the natural frequency of the tower 2 is calculated from the displacement waveform. Typically, the natural frequency may be calculated from the displacement waveform at the target point P located at the highest position n .

[0043] Subsequently, as the natural vibration mode calculation step S4, the natural vibration mode of the tower 2 is calculated based on the natural frequency calculated in the natural frequency calculation step S3. More specifically, for each of the target points P1 to P n The natural frequency amplitude x k(see Fig. 4(b)) is calculated. Natural vibration frequency amplitude x k With the horizontal axis being the natural vibration frequency amplitude x n and the vertical axis being the height position of the target points P1 to P

[0044] In the natural vibration mode calculation step S4, the normal natural vibration mode of the tower 2 is calculated based on the normal natural vibration frequency. Natural vibration frequency amplitude x k In the same way as above, as shown in Fig. 4(b), the normal natural vibration frequency amplitude a k is obtained. With the horizontal axis being the normal natural vibration frequency amplitude a k and the vertical axis being the height position of the target points P1 to P n a graph is shown by the dashed line in Fig. 4(a).

[0045] Next, as the mode normalization step S5, the natural vibration mode is normalized to calculate the normalized natural vibration mode. More specifically, the natural vibration frequency amplitude x k shown in Fig. 4(b) is divided by the natural vibration frequency amplitude x max with the largest amplitude, and the normalized natural vibration frequency amplitude x k ’ shown in Fig. 5(b) is obtained. With the horizontal axis being the normalized natural vibration frequency amplitude x k ’ and the vertical axis being the height position of the target points P1 to P n a graph is shown by the solid line in Fig. 5(a).

[0046] In the mode normalization step S5, the normal natural vibration mode is also normalized to calculate the normalized normal natural vibration mode. In the same way as the natural vibration frequency amplitude x k the normalized normal natural vibration frequency amplitude a k ’ shown in Fig. 5(b) is obtained. With the horizontal axis being the normalized normal natural vibration frequency amplitude a k ’ and the vertical axis being the height position of the target points P1 to P n a graph is shown by the dashed line in Fig. 5(a).

[0047] After the characteristic calculation steps S3 to S5, the diagnosis steps S6 to S8 are performed. The diagnosis steps S6 to S8 according to the present embodiment include a frequency diagnosis step S6, a mode diagnosis step S7, and a deterioration position estimation step S8.

[0048] In the frequency diagnosis step S6, the deterioration of the tower 2 is diagnosed based on whether the natural frequency calculated in the natural frequency calculation step S3 is equal to or less than a natural frequency threshold value (see FIG. 6). If the natural frequency is equal to or less than the natural frequency threshold value, it is diagnosed that the tower 2 is deteriorated.

[0049] In the mode diagnosis step S7, the deterioration of the tower 2 is diagnosed based on whether the root mean square of the sum of the squares of the differences between the normalized natural vibration mode and the normalized normal natural vibration mode exceeds a mode difference threshold value. More specifically, at each target point P1 to P n the root mean square T of the sum of the squares of the differences between the normalized natural frequency amplitude x k ’ and the normalized normal natural frequency amplitude a k ’ is calculated by the above-described formula (1). It is determined whether this root mean square T exceeds the mode difference threshold value. If the root mean square T exceeds the mode difference threshold value, it is diagnosed that the tower 2 is deteriorated.

[0050] In the deterioration position estimation step S8, the position of the deterioration point of the tower 2 is estimated based on the difference between the amplitude change rate at each target point P1 to P n based on the natural vibration mode and the amplitude change rate based on the normal natural vibration mode.

[0051] After the diagnosis steps S6 to S8, a display step S9 is performed. In the display step S9, the diagnosis result of the tower 2 obtained by the diagnosis steps S6 to S8 is displayed.

[0052] As described above, according to the present embodiment, the displacement waveform of the tower 2 is calculated by performing image analysis on the moving image of the tower 2, and the vibration characteristics of the tower 2 are calculated from the displacement waveform. Based on this vibration characteristic, the deterioration of the tower 2 is diagnosed. Thereby, the deterioration state of the tower 2 can be easily diagnosed.

[0053] Also, according to this embodiment, as vibration characteristics, the natural frequency of the tower 2 is calculated from the displacement waveform. By this, the secular change of the natural frequency can be obtained, and based on the change of the natural frequency, the deterioration of the tower 2 can be diagnosed. Therefore, the accuracy of the deterioration diagnosis can be improved.

[0054] Also, according to this embodiment, the deterioration of the tower 2 is diagnosed based on whether the natural frequency is less than or equal to the natural frequency threshold value. By this, when the natural frequency drops below the natural frequency threshold value, it can be diagnosed that the tower 2 is deteriorated. Therefore, the accuracy of the deterioration diagnosis can be improved.

[0055] Also, according to this embodiment, as vibration characteristics, the natural vibration mode of the tower 2 is calculated based on the natural frequency. By this, not only the secular change of the natural frequency but also based on the natural vibration mode, the deterioration of the tower 2 can be diagnosed. Therefore, the accuracy of the deterioration diagnosis can be improved.

[0056] Also, according to this embodiment, the deterioration of the tower 2 is diagnosed based on whether the root mean square of the sum of the squares of the difference between the normalized natural vibration mode and the normal natural vibration mode exceeds the mode difference threshold value. By this, when the root mean square exceeds the mode difference threshold value, it can be diagnosed that the tower 2 is deteriorated. Therefore, the accuracy of the deterioration diagnosis can be improved.

[0057] Also, according to this embodiment, for each target point P1 to P n the position of the deterioration point of the tower 2 is estimated based on the difference between the amplitude change rate based on the natural vibration mode and the amplitude change rate based on the normal natural vibration mode. By this, the position of the deterioration point of the tower 2 can be easily grasped. Therefore, it is possible to quickly proceed to the repair plan and repair work of the tower 2.

[0058] Further, according to the present embodiment, the diagnosis result of the tower 2 is displayed. As a result, the diagnosis result of the deterioration of the tower 2 can be easily and quickly confirmed. Therefore, when it is diagnosed that the tower 2 is deteriorated, it is possible to quickly proceed to the repair plan and repair work of the tower 2, etc.

[0059] In addition, in the above-described present embodiment, an example has been described in which the diagnosis unit 28 includes a frequency diagnosis unit 29 that diagnoses the deterioration of the tower 2 based on whether the natural frequency is equal to or less than the natural frequency threshold value. However, the present embodiment is not limited to this. Any diagnosis method using the natural frequency can be used as long as the deterioration of the tower 2 can be diagnosed.

[0060] In addition, in the above-described present embodiment, an example has been described in which the diagnosis unit 28 includes a mode diagnosis unit 30 that diagnoses the deterioration of the tower 2 based on the normalized natural vibration mode and the normalized normal natural vibration mode. However, the present embodiment is not limited to this. Any diagnosis method using the natural vibration mode can be used as long as the deterioration of the tower 2 can be diagnosed.

[0061] In addition, in the above-described present embodiment, an example has been described in which the natural vibration mode calculation unit 26 calculates the normal natural vibration mode of the tower 2 based on the normal natural frequency, and the mode normalization unit 27 normalizes the normal natural vibration mode. However, the present embodiment is not limited to this. For example, the normalized normal natural frequency amplitude a k ' may be stored in the storage unit 22 in advance. In this case, the mode diagnosis unit 30 may perform the deterioration diagnosis of the tower 2 using the normalized normal natural frequency amplitude a k ' stored in the storage unit 22.

[0062] According to the above-described embodiment, the deterioration state of the tower 2 can be easily diagnosed.

[0063] Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalent scope thereof. Also, of course, within the scope of the gist of the present invention, it is possible to appropriately combine these embodiments partially.

Explanation of Signs

[0064] 1: Wind power generation equipment, 2: Tower, 10: Tower deterioration diagnosis system, 11: Camera, 23: Waveform calculation unit, 24: Characteristic calculation unit, 25: Natural frequency calculation unit, 26: Natural vibration mode calculation unit, 27: Mode normalization unit, 28: Diagnosis unit, 29: Frequency diagnosis unit, 30: Mode diagnosis unit, 31: Deterioration position estimation unit, 32: Display unit

Claims

1. A method for diagnosing tower degradation of a wind power generation facility, comprising: a photographing step of photographing a video of the tower; a waveform calculation step of performing image analysis on the video and calculating a displacement waveform of the tower; a characteristic calculation step of calculating vibration characteristics of the tower from the displacement waveform; a diagnosis step of diagnosing degradation of the tower based on the vibration characteristics; A method for diagnosing tower degradation of a wind power generation facility, comprising the above steps.

2. The characteristic calculation step includes a natural frequency calculation step of calculating a natural frequency of the tower from the displacement waveform, The method for diagnosing tower degradation of a wind power generation facility according to Claim 1.

3. The diagnosis step includes a frequency diagnosis step of diagnosing degradation of the tower based on whether the natural frequency is less than or equal to a natural frequency threshold value, The method for diagnosing tower degradation of a wind power generation facility according to Claim 2.

4. The characteristic calculation step includes a natural vibration mode calculation step of calculating a natural vibration mode of the tower based on the natural frequency, The method for diagnosing tower degradation of a wind power generation facility according to Claim 2 or 3.

5. The characteristic calculation step includes a mode normalization step of normalizing the natural vibration mode to calculate a normalized natural vibration mode, A plurality of target points are set at different height positions in the tower, The diagnosis step includes a mode diagnosis step of diagnosing degradation of the tower based on whether the root mean square of the sum of the squares of the differences between the amplitudes at each of the target points based on the normalized natural vibration mode and the amplitudes at the corresponding target points based on the normal natural vibration mode exceeds a mode difference threshold value. The method for diagnosing tower degradation of a wind power generation facility according to Claim 4.

6. The characteristic calculation step includes a mode normalization step of normalizing the natural vibration mode to calculate a normalized natural vibration mode, A plurality of target points are set at different height positions in the tower, The diagnosis step includes a degradation position estimation step of estimating the position of a degradation point of the tower based on the difference between the amplitude change rate at each of the target points based on the normalized natural vibration mode and the amplitude change rate at the corresponding target points based on the normal natural vibration mode. The method for diagnosing tower degradation of a wind power generation facility according to Claim 4.

7. Further comprising a display step of displaying the diagnosis result of the tower obtained by the diagnosis step The method for diagnosing tower deterioration of a wind power generation facility according to claim 1 or 2.

8. A tower deterioration diagnosis system for a wind power generation facility, a photographing unit that photographs a video of the tower, a waveform calculation unit that performs image analysis of the video and calculates a displacement waveform of the tower, a characteristic calculation unit that calculates vibration characteristics of the tower from the displacement waveform, a diagnosis unit that diagnoses deterioration of the tower based on the vibration characteristics, and a tower deterioration diagnosis system for a wind power generation facility comprising the same.

Citation Information

Patent Citations

  • Device, method and program for diagnosing fault of windmill

    JP2023072586A

  • Remaining life assessment device and method, wind power generation system

    JP6524336B2