Fan blade flaw detection method, device and medium

Abstract

The invention discloses a fan blade flaw detection method, a fan blade flaw detection device and a medium. The method comprises the following steps: acquiring size data of a fan blade; transmitting ultrasonic waves to the fan blade at a certain detection position according to a preset scanning route, and receiving ultrasonic echoes of the fan blade; determining whether the fan blade is damaged or not according to the ultrasonic waves and the ultrasonic echoes; if yes, the damage type is determined according to the ultrasonic echo, and the damage position is determined according to the detection position and the size data; and continuously transmitting the ultrasonic waves to the fan blade at the next detection position according to the preset scanning route. Complete automatic flaw detection can be completed, the risk of serious damage to the fan blade is greatly reduced, and the safety of fan operators and fan equipment is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of wind power equipment, and more particularly to a method, apparatus, and medium for detecting flaws in wind turbine blades. Background Technology

[0002] The blades, a key component of wind turbine generators, are subjected to immense mechanical stress and environmental erosion due to long-term exposure to harsh natural environments. Therefore, blade inspection and maintenance are crucial for ensuring the normal and reliable operation of wind turbine generators. However, the currently prevalent manual visual inspection method cannot inspect the blade tips, and the inspection quality is affected by the skill level of personnel and the amount of time available. It also cannot accurately identify internal damage and defects on the blades. Furthermore, the blade space is limited, and the working environment presents risks of oxygen deficiency and even toxicity. Blade inspections typically require multiple people, are time-consuming, and involve significant risks. Summary of the Invention

[0003] This invention aims to solve at least one of the technical problems existing in the prior art. To this end, this invention proposes a method for detecting flaws in wind turbine blades, which can complete the entire automatic flaw detection process, greatly reducing the risk of serious damage to wind turbine blades and ensuring the safety of wind turbine operators and equipment.

[0004] The present invention also proposes an apparatus and a medium for the above-mentioned wind turbine blade flaw detection method.

[0005] A method for detecting flaws in wind turbine blades according to a first aspect of the present invention, applied to wind turbine blades, includes: Obtain the dimensional data of the wind turbine blades; The ultrasonic waves are emitted towards the wind turbine blades at a certain detection position along a preset scanning route, and the ultrasonic echoes from the wind turbine blades are received. The presence of damage to the wind turbine blades is determined based on the ultrasonic waves and the ultrasonic echoes. If so, the damage type is determined based on the ultrasonic echo, and the damage location is determined based on the detection location and the size data; ultrasonic waves are then emitted towards the wind turbine blade at the next detection location along a preset scanning route.

[0006] According to an embodiment of the present invention, a method for detecting flaws in wind turbine blades has at least the following beneficial effects: The present invention first scans the wind turbine blades using a preset scanning route, and determines the damage status of the wind turbine blades based on the scanning results, i.e., the ultrasonic echo. If damage is determined, the damage type is determined based on the ultrasonic echo, and the damage location is determined based on the current detection position, thereby completing a complete automatic flaw detection. This facilitates timely early warning and emergency operations, greatly reduces the risk of serious damage to wind turbine blades, and ensures the safety of wind turbine operators and wind turbine equipment.

[0007] According to some embodiments of the present invention, the step of emitting ultrasonic waves at a certain detection position along a preset scanning route and receiving the ultrasonic echoes from the wind turbine blades includes: A coordinate system is established with the center of the central circle at the root of the wind turbine blade as the origin; Starting from the root of the wind turbine blade, ultrasonic waves are emitted towards the blade tip along the centerline of the wind turbine blade, maintaining a preset distance and height in the vertical direction.

[0008] According to some embodiments of the present invention, determining whether the wind turbine blades are damaged based on the ultrasonic waves and the ultrasonic echoes includes: Determine whether the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is less than a preset peak height threshold. If not, then the fan blade is determined to be damaged; if so, then there is no damage.

[0009] According to some embodiments of the present invention, determining whether the wind turbine blades are damaged based on the ultrasonic waves and the ultrasonic echoes further includes: After determining that the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is not less than a preset peak height threshold, the ultrasonic echo is filtered and the waveform duration of the ultrasonic echo is determined. If the difference between the duration of the ultrasonic wave waveform and the duration of the ultrasonic echo waveform is less than a preset time difference threshold, then the wind turbine blade is determined to be undamaged; otherwise, damage exists.

[0010] According to some embodiments of the present invention, it further includes: After determining that the wind turbine blades are damaged, the longitudinal wave velocity of the ultrasonic echo in the wind turbine blades is determined based on the density of the wind turbine blades and the Young's modulus of the wind turbine blades. The distance height is determined as the peak height of the ultrasonic wave; The peak height of the ultrasonic echo is determined based on the wavelength duration of the ultrasonic echo, the longitudinal wave velocity, and the distance altitude.

[0011] According to some embodiments of the present invention, determining the damage type based on the ultrasonic echo includes: After confirming that the wind turbine blade is damaged, a first ultrasonic wave and a second ultrasonic wave are emitted again at the detection location towards the wind turbine blade, and a first ultrasonic echo corresponding to the first ultrasonic wave and a second ultrasonic echo corresponding to the second ultrasonic wave are received respectively; wherein, the ultrasonic wave with the first emission frequency is the first ultrasonic echo, and the ultrasonic wave with the second emission frequency is the second ultrasonic wave. The peak height of the first ultrasonic echo and the peak height of the second ultrasonic echo are determined respectively. The damage type is determined based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo.

[0012] According to some embodiments of the present invention, determining the damage type based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo includes: The ratios of the peak heights of the ultrasonic echo, the first ultrasonic echo, and the second ultrasonic echo to their respective emission frequencies are determined; the ratios include: an initial ratio, a first ratio, and a second ratio. If the initial ratio is greater than the first ratio and less than the second ratio, the damage type is determined to be blade swelling damage; if both the first ratio and the second ratio are greater than the initial ratio, the damage type is determined to be blade breakage damage.

[0013] According to some embodiments of the present invention, it further includes: Determine the first detection position corresponding to the initial determination that the wind turbine blade has damage, and the second detection position corresponding to the last determination that the wind turbine blade has damage; Based on the first detection location and the second detection location, the damage surface area and volume corresponding to the first detection location and the second detection location are obtained; The degree of damage is determined based on the surface area and volume of the damage.

[0014] A wind turbine blade flaw detection apparatus according to a second aspect of the present invention, used to perform a wind turbine blade flaw detection method according to any one of the first aspects, comprising: Blade ultrasonic module, ultrasonic echo receiving module, echo signal processing module, blade damage assessment module; The blade ultrasonic module is used to emit ultrasonic waves at a certain detection position along a preset scanning route; The ultrasonic echo receiving module is used to receive the ultrasonic echoes from the wind turbine blades. The echo signal processing module is connected to the blade ultrasonic module, the ultrasonic echo receiving module, and the blade damage assessment module, respectively, and is used to acquire the dimensional data of the wind turbine blade; and to determine whether the wind turbine blade is damaged based on the ultrasonic waves and the ultrasonic echoes. The blade damage assessment module is used to determine the damage type based on the ultrasonic echo and to determine the damage location based on the detection location and the size data.

[0015] According to a third aspect of the present invention, a storage medium stores computer-executable instructions for performing the method as described in any one of the first aspects.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims, and drawings. Attached Figure Description

[0017] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.

[0018] Figure 1 This is a flowchart of a wind turbine blade flaw detection method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of step S200 in a wind turbine blade flaw detection method provided in another embodiment of the present invention; Figure 3 This is a schematic diagram of step S200 in a wind turbine blade flaw detection method provided in another embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0020] It should be understood that in the description of the embodiments of the present invention, "multiple" (or "amounts") means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. If "first," "second," etc., are used in the description, they are only for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0021] like Figure 1 As shown, this embodiment of the invention provides a method for detecting flaws in wind turbine blades, applied to wind turbine blades, including: Step S100: Obtain the size data of the wind turbine blades; Step S200: Emit ultrasonic waves at a certain detection position along a preset scanning route and receive the ultrasonic echoes from the wind turbine blades. Step S300: Determine whether there is damage to the wind turbine blades based on ultrasonic waves and ultrasonic echoes; If so, proceed to step S400: determine the damage type based on the ultrasonic echo, and determine the damage location based on the detection location and size data; continue to emit ultrasonic waves to the wind turbine blades at the next detection location along the preset scanning route; If not, continue to emit ultrasonic waves at the next detection position along the preset scanning route.

[0022] This invention first scans the wind turbine blades using a preset scanning route. Based on the scanning results, i.e., the ultrasonic echo, the damage status of the wind turbine blades is determined. If damage is found, the damage type is determined based on the ultrasonic echo, and the damage location is determined based on the current detection position. This completes the automatic flaw detection process, which facilitates timely early warning and emergency operations, greatly reducing the risk of serious damage to the wind turbine blades and ensuring the safety of wind turbine operators and equipment.

[0023] It is easy to understand that this method is executed in real time after scanning a scanned surface, rather than performing flaw detection after the scan is completed.

[0024] In one embodiment, in step S100, the dimensional data of the wind turbine blades include: length, width, thickness, density, and Young's modulus.

[0025] like Figure 2 As shown, in one embodiment, in step S200, transmitting ultrasonic waves at a certain detection position along a preset scanning route and receiving the ultrasonic echoes from the wind turbine blades includes: Establish a coordinate system with the center of the central circle at the root of the wind turbine blade as the origin; Starting from the root of the wind turbine blade, ultrasonic waves are emitted along the centerline of the wind turbine blade towards the blade tip, maintaining a preset distance and height between the ultrasonic waves and the wind turbine blade in the vertical direction.

[0026] like Figure 3 As shown, in one embodiment, the scanning route refers to scanning along the dotted line in the figure, where the detection position is any point on the scanning route; the scanning device emits ultrasonic waves along the scanning route to the wind turbine blades, and the loop line on the blades in the figure is actually the scanning surface of the wind turbine blades scanned by the scanning device.

[0027] In one embodiment, in step S300, determining whether there is damage to the wind turbine blades based on ultrasonic waves and ultrasonic echoes includes: Determine whether the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is less than a preset peak height threshold. If not, then the fan blade is determined to be damaged; if so, then there is no damage.

[0028] In one embodiment, in step S300, determining whether there is damage to the wind turbine blades based on ultrasonic waves and ultrasonic echoes further includes: After determining that the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is not less than a preset peak height threshold, the ultrasonic echo is filtered and the waveform duration of the ultrasonic echo is determined. Determine whether the difference between the duration of the ultrasonic wave waveform and the duration of the ultrasonic echo waveform is less than a preset time difference threshold. If so, it is determined that there is no damage to the fan blades; otherwise, there is damage.

[0029] In one embodiment, the method further includes: After confirming that the wind turbine blades are damaged, the longitudinal wave velocity of the ultrasonic echo in the wind turbine blades is determined based on the density and Young's modulus of the wind turbine blades. The distance height is defined as the peak height of the ultrasonic wave; The peak height of the ultrasonic echo is determined based on the wavelength duration, longitudinal wave velocity, and distance altitude of the ultrasonic echo.

[0030] It is easy to understand that the peak height of the ultrasonic wave and the peak height of the ultrasonic echo determined in the above embodiments are only roughly determined whether the two are approximately equal, and a preliminary judgment is made that damage exists; while in this embodiment, the accurate values ​​of the peak height of the ultrasonic wave and the peak height of the ultrasonic echo are determined, laying the foundation for subsequent determination of the damage type.

[0031] In one embodiment, the longitudinal wave velocity of the ultrasonic echo in the wind turbine blade The specific expression is as follows:

[0032] Where E is the Young's modulus measured before the wind turbine blades are inspected. The density of the wind turbine blades; peak height of ultrasonic echo The specific expression is as follows: =

[0033] in, For longitudinal wave velocity, The duration of the ultrasonic echo. This represents the distance and height.

[0034] In one embodiment, determining the damage type based on the ultrasonic echo in step S400 includes: After confirming that the wind turbine blades are damaged, a first ultrasonic wave and a second ultrasonic wave are emitted again at the detection location towards the wind turbine blades, and a first ultrasonic echo corresponding to the first ultrasonic wave and a second ultrasonic echo corresponding to the second ultrasonic wave are received respectively; wherein, the ultrasonic wave with the first emission frequency is the first ultrasonic echo, and the ultrasonic wave with the second emission frequency is the second ultrasonic wave. The peak heights of the first and second ultrasonic echoes were determined respectively. The type of damage is determined based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo.

[0035] It should be noted that when defects exist on the blade, the transmission frequency of the ultrasonic flaw detector should be adjusted to... and And the damaged areas of the blades were re-inspected; among them, = , = C is a preset constant. The emission frequency for the initial ultrasonic wave emission; The steps and methods for determining the peak height of the first and second ultrasonic echoes are similar to those described above for determining the peak height of the ultrasonic echoes.

[0036] In one embodiment, determining the damage type based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo includes: The ratios of the peak heights of the ultrasonic echo, the first ultrasonic echo, and the second ultrasonic echo to their respective ultrasonic emission frequencies are determined. The ratios include: an initial ratio, a first ratio, and a second ratio. If the initial ratio is greater than the first ratio and less than the second ratio, the damage type is determined to be blade swelling damage; if both the first ratio and the second ratio are greater than the initial ratio, the damage type is determined to be blade breakage damage.

[0037] It should be noted that the expression for the initial ratio is as follows: = ,in, The initial ratio, This is the emission frequency of the ultrasound wave. The peak height of the ultrasonic echo; The expression for the first ratio is as follows: = ,in, The first ratio, The emission frequency of the first ultrasonic wave. The peak height of the first ultrasonic echo; The expression for the second ratio is as follows: = ,,in, The second ratio, This is the emission frequency of the second ultrasonic wave. The peak height of the second ultrasonic echo; This is the ratio of the wave peak to the emission frequency of the ultrasonic flaw detector on the blade. This is the ratio of wave crest height to frequency when the blade is defect-free. and This is the ratio of wave crest height to frequency when the blade has defects; and , The values ​​are compared separately, if < and < If so, the blade defect type is determined to be a blade swelling defect; if > and If so, the blade defect type is determined to be a blade breakage defect.

[0038] In one embodiment, the method further includes: Determine the first detection location corresponding to the initial determination of damage to the wind turbine blades, and the second detection location corresponding to the final determination of damage to the wind turbine blades; Based on the first detection position and the second detection position, the damage surface area and volume corresponding to the first detection position and the second detection position are obtained; The degree of damage is determined based on the surface area and volume of the damage.

[0039] It is easy to understand that the detection and flaw detection between the first detection position and the second detection position is also to determine whether there is damage to the wind turbine blades.

[0040] In one embodiment, the coordinates of the first trigger of the blade defect alarm, i.e., the first detection position, are ( , , The final coordinates that trigger the blade defect alarm, i.e., the second detection location, are ( , , Then, the surface area S and volume V of the blade defect can be calculated, as follows: The formula for calculating the surface area of ​​blade defects is: =( - )×( - ); The formula for calculating the volume of blade defects is: =( - )×( - )×( - ).

[0041] In one embodiment, determining the degree of damage based on the damaged surface area and volume includes: If the damage type is leaf swelling damage, 0 < S < 15 or 0 < V < 60 If it is determined to be general damage, maintenance personnel should be reminded to strengthen the observation of blade operation; if 15 ≤S<30 Or 60 ≤V<120 If it is determined to be severely damaged, the blade deload operation strategy will be automatically executed. If 30 ≤S or 120 If the value is less than or equal to V, it is determined to be an emergency damage, and the unit blade shutdown strategy is automatically executed. If the damage type is blade breakage, 0 < S < 10 Or 0 < V < 40 If so, it is determined to be general damage. Maintenance personnel are reminded to strengthen observation of blade operation. If 10 ≤S<20 Or 40 ≤V<80 If it is determined to be severely damaged, the blade deload operation strategy will be automatically executed. If 20 ≤S or 80 If the value is less than or equal to V, it is determined to be an emergency damage, and the unit blade shutdown strategy will be automatically executed.

[0042] This invention also provides a wind turbine blade flaw detection device for performing the above-described wind turbine blade flaw detection method, comprising: Blade ultrasonic module, ultrasonic echo receiving module, echo signal processing module, blade damage assessment module; The blade ultrasonic module is used to emit ultrasonic waves at a certain detection position along a preset scanning path to the wind turbine blade; An ultrasonic echo receiving module is used to receive ultrasonic echoes from wind turbine blades. The echo signal processing module is connected to the blade ultrasonic module, the ultrasonic echo receiving module, and the blade damage assessment module, respectively, to acquire the dimensional data of the wind turbine blades; and to determine whether there is damage to the wind turbine blades based on the ultrasonic waves and ultrasonic echoes. The blade damage assessment module is used to determine the damage type based on ultrasonic echoes and to determine the damage location based on the detection location and size data.

[0043] In one embodiment, a wind turbine blade flaw detection device further includes a power supply module for supplying power to each module.

[0044] This invention also provides a wind turbine blade flaw detection system, comprising: A wind turbine blade flaw detection device is used to perform the aforementioned wind turbine blade flaw detection method.

[0045] This invention also provides a storage medium storing computer-executable instructions for performing the above-described methods.

[0046] In one embodiment, the storage medium stores computer-executable instructions that are executed by one or more control processors.

[0047] The embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0048] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0049] This document describes embodiments of the invention, including preferred embodiments known to the inventors for carrying out the invention. Variations of these embodiments will become apparent to those skilled in the art upon reading the foregoing description. The inventors encourage those skilled in the art to adopt such variations as appropriate, and the inventors intend to practice embodiments of the invention in ways other than those specifically described herein. Therefore, the scope of the invention includes all modifications and equivalents of the subject matter set forth in the appended claims, as permitted by applicable law. Furthermore, the scope of the invention covers any combination of the foregoing elements in all possible variations thereof, unless otherwise indicated herein or otherwise clearly contradicted by the context.

Claims

1. A method for detecting flaws in wind turbine blades, applied to wind turbine blades, characterized in that, include: Obtain the dimensional data of the wind turbine blades; The ultrasonic wave is emitted towards the wind turbine blade at a certain detection position along a preset scanning route, and the ultrasonic echo from the wind turbine blade is received. The presence of damage to the wind turbine blades is determined based on the ultrasonic waves and the ultrasonic echoes. If so, the damage type is determined based on the ultrasonic echo, and the damage location is determined based on the detection location and the size data; ultrasonic waves are then emitted towards the wind turbine blade at the next detection location along a preset scanning route.

2. The method for detecting flaws in wind turbine blades according to claim 1, characterized in that, The step of emitting ultrasonic waves at a certain detection position along a preset scanning route and receiving the ultrasonic echoes from the wind turbine blades includes: A coordinate system is established with the center of the central circle at the root of the wind turbine blade as the origin; Starting from the root of the wind turbine blade, ultrasonic waves are emitted towards the blade tip along the centerline of the wind turbine blade, maintaining a preset distance and height in the vertical direction.

3. The method for detecting flaws in wind turbine blades according to claim 1, characterized in that, The step of determining whether the wind turbine blades are damaged based on the ultrasonic waves and the ultrasonic echoes includes: Determine whether the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is less than a preset peak height threshold. If not, then the fan blade is determined to be damaged; if so, then there is no damage.

4. The method for detecting flaws in wind turbine blades according to claim 3, characterized in that, The method of determining whether the wind turbine blades are damaged based on the ultrasonic waves and the ultrasonic echoes also includes: After determining that the difference between the peak height of the ultrasonic wave and the peak height of the ultrasonic echo is not less than a preset peak height threshold, the ultrasonic echo is filtered and the waveform duration of the ultrasonic echo is determined. If the difference between the duration of the ultrasonic wave waveform and the duration of the ultrasonic echo waveform is less than a preset time difference threshold, then the wind turbine blade is determined to be undamaged; otherwise, damage exists.

5. The method for detecting flaws in wind turbine blades according to claim 4, characterized in that, Also includes: After determining that the wind turbine blades are damaged, the longitudinal wave velocity of the ultrasonic echo in the wind turbine blades is determined based on the density of the wind turbine blades and the Young's modulus of the wind turbine blades. The distance height is determined as the peak height of the ultrasonic wave; The peak height of the ultrasonic echo is determined based on the wavelength duration of the ultrasonic echo, the longitudinal wave velocity, and the distance altitude.

6. The method for detecting flaws in wind turbine blades according to claim 4, characterized in that, The determination of the damage type based on the ultrasonic echo includes: After confirming that the wind turbine blade is damaged, a first ultrasonic wave and a second ultrasonic wave are emitted again at the detection location towards the wind turbine blade, and a first ultrasonic echo corresponding to the first ultrasonic wave and a second ultrasonic echo corresponding to the second ultrasonic wave are received respectively; wherein, the ultrasonic wave with the first emission frequency is the first ultrasonic echo, and the ultrasonic wave with the second emission frequency is the second ultrasonic wave. The peak height of the first ultrasonic echo and the peak height of the second ultrasonic echo are determined respectively. The damage type is determined based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo.

7. A method for detecting flaws in wind turbine blades according to claim 6, characterized in that, Determining the damage type based on the peak height of the ultrasonic echo, the peak height of the first ultrasonic echo, and the peak height of the second ultrasonic echo includes: The ratios of the peak heights of the ultrasonic echo, the first ultrasonic echo, and the second ultrasonic echo to their respective emission frequencies are determined; the ratios include: an initial ratio, a first ratio, and a second ratio. If the initial ratio is greater than the first ratio and less than the second ratio, the damage type is determined to be blade swelling damage; if both the first ratio and the second ratio are greater than the initial ratio, the damage type is determined to be blade breakage damage.

8. The method for detecting flaws in wind turbine blades according to claim 1, characterized in that, Also includes: Determine the first detection position corresponding to the initial determination that the wind turbine blade has damage, and the second detection position corresponding to the last determination that the wind turbine blade has damage; Based on the first detection location and the second detection location, the damage surface area and volume corresponding to the first detection location and the second detection location are obtained; The degree of damage is determined based on the surface area and volume of the damage.

9. A flaw detection device for wind turbine blades, characterized in that, For performing the method as described in any one of claims 1 to 8, comprising: Blade ultrasonic module, ultrasonic echo receiving module, echo signal processing module, blade damage assessment module; The blade ultrasonic module is used to emit ultrasonic waves at a certain detection position along a preset scanning route; The ultrasonic echo receiving module is used to receive the ultrasonic echoes from the wind turbine blades. The echo signal processing module is connected to the blade ultrasonic module, the ultrasonic echo receiving module, and the blade damage assessment module, respectively, and is used to acquire the dimensional data of the wind turbine blade; and to determine whether the wind turbine blade is damaged based on the ultrasonic waves and the ultrasonic echoes. The blade damage assessment module is used to determine the damage type based on the ultrasonic echo and to determine the damage location based on the detection location and the size data.

10. A storage medium, characterized in that, The device stores computer-executable instructions for performing the method as described in any one of claims 1 to 8.

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