Blade damage monitoring method, monitoring device and monitoring system

Abstract

The invention provides a blade damage monitoring method, monitoring device and monitoring system. The blade damage monitoring method comprises the steps that a blade damage signal collected by an acoustic emission sensor is acquired, and blade damage starting time and a blade damage initial area are determined based on the blade damage signal; controlling a camera to collect image data of the blade damage initial area so as to obtain blade damage information of the blade damage initial area; and determining a blade damage state based on the blade damage starting time and the blade damage information. According to the blade damage monitoring method, monitoring device and monitoring system, whether the blade is damaged and needs to be maintained or not can be accurately and visually determined in the blade structure testing process.

Description

Technical Field

[0001] The present disclosure relates to the field of wind power generation, and more specifically, to a blade damage monitoring method, a monitoring device and a monitoring system. Background Art

[0002] Blades are important components in wind power generation systems. The health of blades affects their performance and service life. Damaged blades need to be repaired, and repairing blades will increase the operating costs of wind farms. On the other hand, catastrophic blade failure will cause great economic losses to wind farms.

[0003] At present, blade damage monitoring mainly includes audio, video (image), acoustic emission and other technical means. Such technical means mainly focus on determining whether there is damage on the blades in service and the damage location of the blades. A few technical means can be used to determine the type of blade damage. However, the existing technical means cannot evaluate the impact of monitoring blade damage on the stability of the blade structure.

[0004] The main factors causing blade damage are unreasonable blade design and production process. Both of these unreasonable aspects can be reflected through blade structure testing. The blade damage data during the test can provide data support for subsequent blade optimization, thereby reducing the risk of catastrophic failure of blades at the front end of the blade life cycle. Summary of the invention

[0005] The purpose of the embodiments of the present disclosure is to provide a blade damage monitoring method, a monitoring device and a monitoring system, which can accurately and intuitively determine whether the blade is damaged and needs maintenance during the blade structure test.

[0006] In a general aspect, a blade damage monitoring method is provided, the blade damage monitoring method comprising: acquiring a blade damage signal collected by an acoustic emission sensor, and determining a blade damage start time and an initial blade damage area based on the blade damage signal; controlling a camera to collect image data of the blade damage initial area to obtain blade damage information of the blade damage initial area; and determining a blade damage status based on the blade damage start time and the blade damage information.

[0007] Optionally, the acoustic emission sensor and the camera are arranged corresponding to a predetermined blade weak area.

[0008] Optionally, the blade weak area includes a plurality of blade weak areas, and each blade weak area is correspondingly arranged with at least one acoustic emission sensor and at least one camera.

[0009] Optionally, the blade weak area includes the leading and trailing edges of the blade and the starting position of the blade web.

[0010] Optionally, the step of determining the blade damage status based on the blade damage start time and the blade damage information includes: determining the blade damage extension area based on the blade damage information; determining the blade damage extension rate based on the blade damage start time and the blade damage information; determining the blade damage status based on the blade damage extension area and the blade damage extension rate.

[0011] Optionally, the blade damage information includes damage length and damage width, wherein the step of determining the blade damage extension area based on the blade damage information includes: calculating the product of the damage length and the damage width as the blade damage extension area.

[0012] Optionally, based on the blade damage start time and the blade damage information, the step of determining the blade damage expansion rate includes: calculating the quotient of the damage length and a first time length as the damage length expansion rate, and / or calculating the quotient of the damage width and the first time length as the damage width expansion rate; calculating the quotient of the blade damage expansion area and the first time length as the damage area expansion rate, wherein the first time length is the time length between the blade damage start time and the current time.

[0013] Optionally, based on the blade damage extension area and the blade damage extension rate, the step of determining the blade damage status includes: in response to the blade damage extension area, the damage length extension rate and / or the damage width extension rate, and the damage area extension rate satisfying a first preset condition, determining that the blade damage status is that the blade is operating normally; in response to the blade damage extension area satisfying a second preset condition, determining that the blade damage status is that the blade requires maintenance.

[0014] Optionally, the blade damage initial area is included in a predetermined blade weak area, and the blade weak area includes a plurality of blade weak areas, wherein the first preset condition and the second preset condition are set differently for different blade weak areas.

[0015] In another general aspect, a blade damage monitoring device is provided, comprising: an initial information determination unit, configured to obtain a blade damage signal collected by an acoustic emission sensor, and determine a blade damage start time and an initial blade damage area based on the blade damage signal; a blade damage information acquisition unit, configured to control a camera to collect image data of the blade damage initial area to obtain blade damage information of the blade damage initial area; and a blade damage status determination unit, configured to determine a blade damage status based on the blade damage start time and the blade damage information.

[0016] In another general aspect, a computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a processor, the blade damage monitoring method as described above is implemented.

[0017] In another general aspect, a computing device is provided, the computing device comprising: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, the blade damage monitoring method as described above is implemented.

[0018] In another general aspect, a blade damage monitoring system is provided, comprising: an acoustic emitter; a camera; and a control terminal, configured to: obtain a blade damage signal collected by an acoustic emission sensor, and determine a blade damage start time and an initial blade damage area based on the blade damage signal; control the camera to collect image data of the blade damage initial area to obtain blade damage information of the blade damage initial area; and determine a blade damage status based on the blade damage start time and the blade damage information.

[0019] Optionally, the acoustic emission sensor and the camera are arranged corresponding to a predetermined blade weak area.

[0020] Optionally, the blade weak area includes a plurality of blade weak areas, and each blade weak area is correspondingly arranged with at least one acoustic emission sensor and at least one camera.

[0021] According to the blade damage monitoring method, monitoring device and monitoring system of the embodiments of the present disclosure, by combining acoustic emission detection and impact detection, it is possible to accurately and intuitively show the entire process of blade damage initiation and development during blade structure testing, grasp the expansion speed and expansion area range of different types of blade damage, and evaluate the impact of damage on blade structural stability based on the damage development status. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and other objects and features of the present disclosure will become more apparent from the following description in conjunction with the accompanying drawings.

[0023] Figure 1 is a schematic diagram showing a blade damage monitoring system 10 according to an embodiment of the present disclosure;

[0024] Figure 2 is a flow chart showing a blade damage monitoring method according to an embodiment of the present disclosure;

[0025] Figure 3 is a block diagram showing a blade damage monitoring device according to an embodiment of the present disclosure;

[0026] Figure 4is a block diagram illustrating a computing device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] The following specific embodiments are provided to help the reader obtain a comprehensive understanding of the methods, devices and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications and equivalents of the methods, devices and / or systems described herein will be clear. For example, the order of operations described herein is only an example and is not limited to those orders set forth herein, but can be changed as will be clear after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, for greater clarity and simplicity, the description of features known in the art may be omitted.

[0028] The features described herein can be implemented in different forms and should not be construed as being limited to the examples described herein. Rather, the examples described herein have been provided to illustrate only some of the many possible ways to implement the methods, devices, and / or systems described herein, which will be clear after understanding the disclosure of the present application.

[0029] As used herein, the term "and / or" includes any one of the associated listed items and any combination of any two or more.

[0030] Although terms such as "first", "second", and "third" may be used herein to describe various members, components, regions, layers, or portions, these members, components, regions, layers, or portions should not be limited by these terms. Instead, these terms are only used to distinguish one member, component, region, layer, or portion from another member, component, region, layer, or portion. Therefore, without departing from the teachings of the examples described herein, the first member, first component, first region, first layer, or first portion referred to in the examples may also be referred to as the second member, second component, second region, second layer, or second portion.

[0031] In the specification, when an element (such as a layer, a region or a substrate) is described as being “on”, “connected to” or “coupled to” another element, the element may be directly “on”, “connected to” or “coupled to” another element, or one or more other elements may be present therebetween. Conversely, when an element is described as being “directly on”, “directly connected to” or “directly coupled to” another element, there may be no other elements present therebetween.

[0032] The terms used herein are only used to describe various examples and are not intended to limit the disclosure. Unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. The terms "comprise", "include" and "have" indicate the presence of the described features, quantities, operations, components, elements and / or combinations thereof, but do not exclude the presence or addition of one or more other features, quantities, operations, components, elements and / or combinations thereof.

[0033] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as those generally understood by a person of ordinary skill in the art to which the present disclosure belongs after understanding the present disclosure. Unless explicitly defined as such herein, terms (such as those defined in a general dictionary) should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and should not be interpreted in an idealized or overly formal manner.

[0034] Furthermore, in the description of examples, when it is considered that a detailed description of a well-known related structure or function would cause vague interpretation of the present disclosure, such a detailed description will be omitted.

[0035] Figure 1 is a schematic diagram showing a blade damage monitoring system 10 according to an embodiment of the present disclosure.

[0036] Reference Figure 1 The blade damage monitoring system 10 can monitor the blade damage status during the blade structure test, and may include a camera 101, an acoustic emission sensor 201 and a control terminal 300. The control terminal 300 may be, for example, a computer, a server, an intelligent mobile terminal, etc., and may be set up away from the monitoring site (for example, in a remote control center), but the present disclosure is not limited thereto. The control terminal 300 may acquire a blade damage signal acquired by the acoustic emission sensor, and determine the blade damage start time and the blade damage initial area based on the blade damage signal. Thereafter, the control terminal 300 may control the camera to acquire image data of the blade damage initial area to obtain blade damage information of the blade damage initial area. Finally, the control terminal 300 may determine the blade damage status based on the blade damage start time and the blade damage information. This will be referred to later. Figure 2 The operation of the blade damage monitoring system 10 is described in detail.

[0037] The camera 101 and the acoustic emission sensor 201 may be arranged corresponding to a predetermined blade weak area. Specifically, during blade design, the blade weak area may be predetermined using various existing methods. In this way, during or before the blade structure test, the camera 101 and the acoustic emission sensor 201 may be arranged corresponding to the blade weak area. For example, the camera 101 may be arranged to be able to collect (i.e., photograph) image data of the blade weak area, and the acoustic emission sensor 201 may be arranged to be able to collect blade damage signals from the blade weak area by an acoustic emission method.

[0038] According to an embodiment of the present disclosure, the blade weak area may include multiple blade weak areas, and each blade weak area is correspondingly arranged with at least one acoustic emission sensor 201 and at least one camera 101. Optionally, the camera 101 may send the collected image data to the control terminal 300 through the image data acquisition server 102, and the control terminal 300 may send a control instruction to the camera 101 through the image data acquisition server 102; the acoustic emission sensor 201 may send the collected blade damage signal to the control terminal 300 through the acoustic emission data acquisition server 202, and the control terminal 300 may send a control instruction to the acoustic emission sensor 201 through the acoustic emission data acquisition server 202. The camera 101 may form an image monitoring system 100 with the image data acquisition server 102, and the acoustic emission sensor 201 may form an acoustic emission monitoring system 200 with the acoustic emission data acquisition server 202. The connection between the camera 101, the image data acquisition server 102 and the control terminal 300 can be a wired connection or a and / or a wireless connection, and the connection between the acoustic emission sensor 201, the acoustic emission data acquisition server 202 and the control terminal 300 can also be a wired connection or a and / or a wireless connection, which is not limited in the present disclosure.

[0039] like Figure 1 As shown, the blade damage monitoring system 10 may selectively include a plurality of image monitoring systems 100 and a plurality of emission monitoring systems 200, wherein the image data acquisition server 102 and the acoustic emission data acquisition server 202 are also arranged corresponding to the predetermined blade weak area. For example, the image data acquisition server 102 may be arranged adjacent to the camera 101, and the acoustic emission data acquisition server 202 may be arranged adjacent to the acoustic emission sensor 201. Optionally, the camera 101 may directly communicate with the control terminal 300 without the image data acquisition server 102, and the acoustic emission sensor 201 may also directly communicate with the control terminal 300 without the acoustic emission data acquisition server 202.

[0040] Figure 2 FIG. 1 is a flow chart showing a blade damage monitoring method according to an embodiment of the present disclosure. Figure 2The blade damage monitoring method shown can be performed as follows Figure 1 The control terminal 300 is shown to execute, but the present disclosure is not limited thereto.

[0041] Reference Figure 2 In step S201, a blade damage signal collected by an acoustic emission sensor may be obtained, and the blade damage start time and the blade damage initial area may be determined based on the blade damage signal. As described above, the acoustic emission sensor may collect a blade damage signal from the blade by an acoustic emission method, and the control terminal may use various existing methods to determine whether there is blade damage from the blade damage signal, and determine the blade damage area (i.e., the blade damage initial area) when there is blade damage, so a detailed description thereof is omitted here. On the other hand, when the control terminal determines from the blade damage signal that there is blade damage, the control terminal may record the moment when the blade damage is determined to be present as the blade damage start time.

[0042] In step S202, the camera may be controlled to collect image data of the initial area of ​​blade damage to obtain blade damage information of the initial area of ​​blade damage. Here, after the initial area of ​​blade damage is determined, the camera may be controlled to capture image data of the initial area of ​​blade damage, and various existing image processing methods may be used to determine the blade damage information of the initial area of ​​blade damage from the captured image data, so a detailed description thereof is omitted here.

[0043] According to an embodiment of the present disclosure, the acoustic emission sensor and the camera may be arranged corresponding to a predetermined blade weak area. As described above, during blade design, various existing methods may be used to predetermine the blade weak area, which will not be described in detail here. The camera may be arranged to be able to collect (i.e., photograph) image data of the blade weak area, and the acoustic emission sensor may be arranged to be able to collect blade damage signals from the blade weak area by means of an acoustic emission method. In addition, the blade weak area includes, for example, the leading and trailing edges of the blade and the starting position of the blade web, but the present disclosure is not limited thereto. Here, the blade web starting position refers to the C-shaped opening of the web. By arranging the acoustic emission sensors and the camera corresponding to the blade weak area, the number of acoustic emission sensors and cameras required for blade damage monitoring can be reduced, thereby reducing the amount of data processing and the cost of software and hardware.

[0044] Furthermore, the blade weak area may include multiple blade weak areas, and each blade weak area is correspondingly arranged with at least one acoustic emission sensor and at least one camera. When multiple acoustic emission sensors are correspondingly arranged for each blade weak area, the accuracy of determining the initial area of ​​blade damage can be improved, and when multiple cameras are correspondingly arranged for each blade weak area, the accuracy of obtaining blade damage information can be improved. Various existing methods can be used to process blade damage signals collected from multiple acoustic emission sensors and image data collected from multiple cameras, so their detailed description is omitted here.

[0045] In step S203 , the blade damage state may be determined based on the blade damage start time and the blade damage information.

[0046] According to an embodiment of the present disclosure, in step S203, the blade damage extension area can be first determined based on the blade damage information, and then the blade damage extension rate can be determined based on the blade damage start time and the blade damage information. Finally, the blade damage state can be determined based on the blade damage extension area and the blade damage extension rate.

[0047] Specifically, the blade damage information may include the damage length (L) and the damage width (W). Therefore, the product of the damage length L and the damage width W may be calculated as the blade damage extension area (A), that is, A=L×W. On the other hand, the quotient of the damage length L and the first time length (T) may be calculated as the damage length extension rate (V L ), and / or calculate the quotient of the damage width W and the first time length T as the damage width expansion rate (V W In addition, the quotient of the blade damage expansion area A and the first time length T can be calculated as the damage area expansion rate (V A ). That is, V L =L / T, V W =W / T,V A =A / T. Here, the first time length T is the time length between the blade damage start time and the current time.

[0048] Furthermore, if the blade damage extension area A and the damage length extension rate V L and / or damage width extension rate V W , and the damage area expansion rate V A If the first preset condition is met, it can be determined that the blade damage state is normal operation of the blade. Alternatively, if the blade damage extension area A meets the second preset condition, it can be determined that the blade damage state is that the blade needs maintenance. L and the damage width extension rate V W The damage extension rate V is not very large, and only the blade damage extension area A can be used to determine whether the blade damage is very serious. On the other hand, even if the damage length extension rate V L and the damage width extension rate V W Both are large, but as long as the blade damage extension area A is small, the blade can still operate normally. Therefore, when determining whether the blade damage state is that the blade needs maintenance, only the blade damage extension area A is determined.

[0049] As described above, the blade weak area includes a plurality of blade weak areas, and the blade damage initial area is included in the blade weak area. For different blade weak areas, the first preset condition and the second preset condition may be set differently. For example, when the blade weak area is the leading and trailing edges of the blade, the first preset condition may be A≤0.02m 2 , V L and / or V W ≤0.005m / h, V A ≤0.00005m 2 / h; when the blade weak area is the starting position of the blade web, the first preset condition may be A≤0.01m 2 , V L and / or V W ≤0.002m / h, V A ≤0.00001m 2 / h. When the blade weak area is the leading and trailing edges of the blade, the second preset condition may be A>0.02m 2 ; When the blade weak area is the starting position of the blade web, the second preset condition can be A>0.01m 2 .

[0050] According to the blade damage monitoring method of the embodiment of the present disclosure, the blade damage status can be identified during the blade structure test process, thereby establishing an accurate, intuitive and complete blade damage information database to provide data support for subsequent blade damage research. On the other hand, according to the blade damage monitoring method of the embodiment of the present disclosure, the blade production process and design problems can be exposed during the blade structure test process, thereby guiding the optimization of mass-produced blades before mass production, reducing the probability of blade damage, and significantly reducing the subsequent operation and maintenance costs.

[0051] Figure 3 FIG. 1 is a block diagram showing a blade damage monitoring device according to an embodiment of the present disclosure. Figure 2 The blade damage monitoring device shown can be implemented as follows Figure 1 The control terminal 300 is shown, but the present disclosure is not limited thereto.

[0052] Reference Figure 3 The blade damage monitoring device 30 may include an initial information determination unit 31, a blade damage information acquisition unit 32, and a blade damage state determination unit 33. The initial information determination unit 31 may acquire a blade damage signal acquired by an acoustic emission sensor, and determine the blade damage start time and the blade damage initial area based on the blade damage signal. The blade damage information acquisition unit 32 may control the camera to acquire image data of the blade damage initial area to acquire blade damage information of the blade damage initial area. The blade damage state determination unit 33 may determine the blade damage state based on the blade damage start time and the blade damage information.

[0053] As described above, the acoustic emission sensor and the camera may be arranged corresponding to a predetermined blade weak area. The blade weak area may include a plurality of blade weak areas, each blade weak area being correspondingly arranged with at least one acoustic emission sensor and at least one camera. For example, the blade weak area may include the leading and trailing edges of the blade and the starting position of the blade web, but the present disclosure is not limited thereto.

[0054] According to an embodiment of the present disclosure, the blade damage state determination unit 33 may first determine the blade damage extension area according to the blade damage information; then determine the blade damage extension rate according to the blade damage start time and the blade damage information; and finally determine the blade damage state based on the blade damage extension area and the blade damage extension rate. For example, the blade damage information may include the damage length and the damage width. In this case, the blade damage state determination unit 33 may calculate the product of the damage length and the damage width as the blade damage extension area.

[0055] Alternatively, the blade damage state determination unit 33 may calculate the quotient of the damage length and the first time length as the damage length expansion rate, and / or calculate the quotient of the damage width and the first time length as the damage width expansion rate. In addition, the blade damage state determination unit 33 may calculate the quotient of the blade damage expansion area and the first time length as the damage area expansion rate. Here, the first time length is the time length between the blade damage start time and the current time.

[0056] Alternatively, in response to the blade damage expansion area, the damage length expansion rate and / or the damage width expansion rate, and the damage area expansion rate satisfying the first preset condition, the blade damage state determination unit 33 may determine that the blade damage state is normal operation of the blade. In response to the blade damage expansion area satisfying the second preset condition, the blade damage state determination unit 33 may determine that the blade damage state is that the blade needs maintenance. As described above, the blade damage initial area is included in the predetermined blade weak area, and the blade weak area includes a plurality of blade weak areas, and the first preset condition and the second preset condition may be set differently for different blade weak areas.

[0057] Figure 4 is a block diagram showing a computing device according to an embodiment of the present disclosure. The computing device may be implemented as follows Figure 1 The control terminal 300 is shown, but the present disclosure is not limited thereto.

[0058] Reference Figure 4According to an embodiment of the present disclosure, the computing device 400 may include a processor 410 and a memory 420. The processor 410 may include (but not limited to) a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field programmable gate array (FPGA), a system on a chip (SoC), a microprocessor, an application specific integrated circuit (ASIC), etc. The memory 420 stores a computer program to be executed by the processor 410. The memory 420 includes a high-speed random access memory and / or a non-volatile computer-readable storage medium. When the processor 410 executes the computer program stored in the memory 420, the blade damage monitoring method as described above may be implemented.

[0059] Alternatively, the computing device 400 may communicate with other electronic devices in a wired / wireless communication manner.

[0060] The blade damage monitoring method according to the embodiment of the present disclosure may be written as a computer program and stored on a computer-readable storage medium. When the computer program is executed by a processor, the blade damage monitoring method as described above may be implemented. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disk storage, hard disk drive (HDD), solid state drive (SSD), card storage (such as, multimedia card, secure digital (SD) card or extreme digital (XD) card), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk and any other device, any other device is configured to store computer program and any associated data, data files and data structures in a non-transitory manner and provide the computer program and any associated data, data files and data structures to a processor or computer so that the processor or computer can execute the computer program. In one example, the computer program and any associated data, data files and data structures are distributed on a networked computer system so that the computer program and any associated data, data files and data structures are stored, accessed and executed in a distributed manner by one or more processors or computers.

[0061] According to the blade damage monitoring method, monitoring device and monitoring system of the embodiments of the present disclosure, by combining acoustic emission detection and impact detection, it is possible to accurately and intuitively show the entire process of blade damage initiation and development during blade structure testing, grasp the expansion speed and expansion area range of different types of blade damage, and evaluate the impact of damage on blade structural stability based on the damage development status.

[0062] Although some embodiments of the present disclosure have been shown and described, it will be appreciated by those skilled in the art that modifications may be made to the embodiments without departing from the principles and spirit of the present disclosure, the scope of which is defined by the claims and their equivalents.

Claims

1. A blade damage monitoring method, It is characterized in that The blade damage monitoring method comprises: Acquire a blade damage signal collected by an acoustic emission sensor, and determine the blade damage start time and the blade damage initial area based on the blade damage signal; Controlling the camera to collect image data of the initial area of ​​blade damage to obtain blade damage information of the initial area of ​​blade damage; The blade damage state is determined based on the blade damage start time and the blade damage information.

2. The blade damage monitoring method according to claim 1, It is characterized in that The acoustic emission sensor and the camera are arranged corresponding to a predetermined blade weak area.

3. The blade damage monitoring method according to claim 2, It is characterized in that The blade weak area includes a plurality of blade weak areas, and each blade weak area is correspondingly arranged with at least one of the acoustic emission sensors and at least one of the cameras.

4. The blade damage monitoring method according to claim 2, It is characterized in that The blade weak area includes the leading and trailing edges of the blade and the starting position of the blade web.

5. The blade damage monitoring method according to claim 1, It is characterized in that The step of determining the blade damage state based on the blade damage start time and the blade damage information comprises: Determining the blade damage extension area according to the blade damage information; Determine the blade damage expansion rate according to the blade damage start time and the blade damage information; The blade damage state is determined based on the blade damage extension area and the blade damage extension rate.

6. The blade damage monitoring method according to claim 5, It is characterized in that The blade damage information includes damage length and damage width. Wherein, the step of determining the blade damage extension area according to the blade damage information includes: calculating the product of the damage length and the damage width as the blade damage extension area.

7. The blade damage monitoring method according to claim 6, It is characterized in that The step of determining the blade damage extension rate according to the blade damage start time and the blade damage information comprises: Calculating the quotient of the damage length and the first duration as the damage length expansion rate, and / or calculating the quotient of the damage width and the first duration as the damage width expansion rate; Calculate the quotient of the blade damage expansion area and the first time length as the damage area expansion rate, The first duration is the time length between the start time of the blade damage and the current time.

8. The blade damage monitoring method according to claim 7, It is characterized in that The step of determining the blade damage state based on the blade damage extension area and the blade damage extension rate comprises: In response to the blade damage expansion area, the damage length expansion rate and / or the damage width expansion rate, and the damage region expansion rate satisfying a first preset condition, determining that the blade damage state is a normal operation of the blade; In response to the blade damage extension area satisfying a second preset condition, it is determined that the blade damage state is that the blade needs maintenance.

9. The blade damage monitoring method according to claim 8, It is characterized in that The blade damage initiation area is included in a predetermined blade weak area, and the blade weak area includes a plurality of blade weak areas, Wherein, the first preset condition and the second preset condition are set differently for different blade weak areas.

10. A blade damage monitoring device, It is characterized in that The blade damage monitoring device comprises: The initial information determination unit is configured to: obtain a blade damage signal collected by an acoustic emission sensor, and determine a blade damage start time and a blade damage initial area based on the blade damage signal; The blade damage information acquisition unit is configured to: control the camera to collect image data of the blade damage initial area to obtain blade damage information of the blade damage initial area; The blade damage state determination unit is configured to determine the blade damage state based on the blade damage start time and the blade damage information.

11. A computer-readable storage medium storing a computer program, It is characterized in that When the computer program is executed by a processor, the blade damage monitoring method according to any one of claims 1 to 9 is implemented.

12. A computing device, It is characterized in that The computing device comprises: Processor; and A memory storing a computer program, which, when executed by a processor, implements the blade damage monitoring method according to any one of claims 1 to 9.

13. A blade damage monitoring system, It is characterized in that The blade damage monitoring system comprises: Acoustic emission sensors; Camera; The control terminal is configured to: obtain a blade damage signal collected by an acoustic emission sensor, and determine the blade damage start time and the blade damage initial area based on the blade damage signal; control the camera to collect image data of the blade damage initial area to obtain blade damage information of the blade damage initial area; determine the blade damage state based on the blade damage start time and the blade damage information.

14. The blade damage monitoring system according to claim 13, It is characterized in that The acoustic emission sensor and the camera are arranged corresponding to a predetermined blade weak area.

15. The blade damage monitoring system according to claim 14, It is characterized in that The blade weak area includes a plurality of blade weak areas, and each blade weak area is correspondingly arranged with at least one of the acoustic emission sensors and at least one of the cameras.

Images