Wind turbine generator blade damage detection method and device based on field effect

Abstract

The embodiment of the invention provides a wind turbine generator blade damage detection method and device based on a field effect, and relates to the technical field of wind power generation. The method comprises the steps that the current capacitance value of a target section is obtained, first conductive layers are arranged on the upper surface and the lower surface of the outer portion of a blade, second conductive layers are arranged on the top and the bottom of an inner cavity of the blade, the blade is divided into a plurality of sections, a sensor is arranged in each section, and the sensors are used for collecting the capacitance value of the corresponding section; comparing the current capacitance value with a reference capacitance value of the target section, and determining the deviation of the current capacitance value relative to the standard capacitance value; determining a capacitance deviation ratio of the target section according to the deviation, and comparing the capacitance deviation ratio with a preset deviation threshold value; and determining the damage type of the blade according to a comparison result. In this way, damage detection can be comprehensively carried out on the generator in real time, and the sensitivity of blade damage detection is greatly improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of wind power generation technology, and in particular to a method and device for detecting damage to wind turbine generator blades based on field effects. Background Art

[0002] With the increasing development of clean energy, wind power generation, as a typical green and pollution-free clean energy, has received increasing attention. Wind turbines are important equipment for wind power generation, integrating wind energy capture and energy conversion.

[0003] Generally, a wind turbine has a wind wheel that rotates under the action of wind, converting the kinetic energy of the wind into mechanical energy of the wind wheel shaft, which is connected to the generator to drive the generator rotor to rotate, thereby converting the mechanical energy into electrical energy.

[0004] At present, wind turbine blade damage detection mainly relies on regular manual inspection or the use of ultrasonic, thermal imaging and other technologies. These methods have the following problems: manual inspection is time-consuming and labor-intensive, and it is difficult to detect small internal damage in time; ultrasonic detection requires professional equipment and personnel, and cannot achieve real-time monitoring; thermal imaging technology is greatly affected by ambient temperature, and the detection accuracy of internal damage is limited; existing methods are difficult to achieve comprehensive and continuous monitoring of large blades; traditional detection methods are costly and difficult to be widely used in large-scale wind farms. Summary of the invention

[0005] In view of this, according to an embodiment of the present application, a field effect-based wind turbine generator blade damage detection solution is provided, which can perform real-time and comprehensive damage detection on the generator and greatly improve the sensitivity of blade damage detection.

[0006] In a first aspect of the present application, a method for detecting damage to a wind turbine generator blade based on field effect is provided. The method comprises:

[0007] Obtaining the current capacitance value of the target section, wherein the upper and lower surfaces of the outer portion of the blade are provided with a first conductive layer, the top and bottom of the inner cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of sections, each section is provided with a sensor, and the sensor is used to collect the capacitance value of the corresponding section;

[0008] Comparing the current capacitance value with a reference capacitance value of the target section to determine a deviation of the current capacitance value relative to the reference capacitance value;

[0009] determining a capacitance deviation ratio of a target section according to the deviation, and comparing the capacitance deviation ratio with a preset deviation threshold;

[0010] Determine the damage type of the blade based on the comparison results.

[0011] Furthermore, the first conductive layer is a silver-based conductive coating or a carbon nanotube composite coating coated on the outer surface of the blade.

[0012] Furthermore, the second conductive layer is a carbon fiber or metal grid conductive material embedded in the blade during the manufacturing process.

[0013] Furthermore, it also includes:

[0014] The capacitance of each section of the undamaged blade is detected in advance to obtain the reference capacitance corresponding to each section.

[0015] Further, the blade is divided into a solid section and a cavity section;

[0016] The solid section uses the first conductive layer to measure the current capacitance, and the cavity section uses the first conductive layer and the second conductive layer to measure the current capacitance respectively, and the damage of the corresponding section is determined by combining the measurement results.

[0017] Furthermore, the damage types of the blade include delamination and internal cracks, and different damage types correspond to different deviation thresholds.

[0018] Furthermore, it also includes:

[0019] A relationship model between ambient temperature and capacitance change percentage is established in advance according to environmental factors, and the method further includes correcting the current capacitance value according to the relationship model.

[0020] In a second aspect of the present application, a wind turbine generator blade damage detection device based on field effect is provided, the device comprising:

[0021] A capacitance acquisition module, used to acquire the current capacitance value of the target section, wherein the upper and lower surfaces of the outer surface of the blade are provided with a first conductive layer, the top and bottom of the internal cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of sections, each section is provided with a sensor, and the sensor is used to collect the capacitance value of the corresponding section;

[0022] A comparison module, used to compare the current capacitance value with the reference capacitance value of the target section to determine the deviation of the current capacitance value relative to the reference capacitance value; determine the capacitance deviation ratio of the target section according to the deviation, and compare the capacitance deviation ratio with a preset deviation threshold;

[0023] The damage type determination module is used to determine the damage type of the blade according to the comparison result.

[0024] In a third aspect of the present application, an electronic device is provided, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the method described above is implemented.

[0025] In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method according to the first aspect of the present application is implemented.

[0026] The field effect-based wind turbine generator blade damage detection method provided in the embodiment of the present application is provided with a first conductive layer on the upper and lower surfaces of the outer surface of the blade, and a second conductive layer is provided on the top and bottom of the internal cavity of the blade, and the blade is divided into multiple sections. A sensor is provided inside each section, and the sensor is used to collect the capacitance value of the corresponding section. By obtaining the current capacitance value of the target section, the current capacitance value is compared with the reference capacitance value of the target section to determine the deviation of the current capacitance value relative to the standard capacitance value, and the damage type of the blade is determined according to the deviation, so as to realize real-time and comprehensive damage detection of the generator and greatly improve the sensitivity of blade damage detection.

[0027] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0029] Figure 1 A diagram of the system architecture involved in the method provided in the embodiments of the present application.

[0030] Figure 2 is a flow chart of a wind turbine generator blade damage detection method based on field effect according to an embodiment of the present application;

[0031] Figure 3 is a block diagram of a wind turbine generator blade damage detection device based on field effect according to an embodiment of the present application;

[0032] Figure 4 is a structural schematic diagram of a first conductive layer in a wind turbine generator blade damage detection method based on field effect according to an embodiment of the present application;

[0033] Figure 5Schematic diagram of the structure of the second conductive layer in the wind turbine generator blade damage detection method based on field effect according to an embodiment of the present application;

[0034] Figure 6 It is a schematic diagram of the structure of a terminal device or a server suitable for implementing the embodiments of the present application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0036] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0037] Figure 1 An exemplary system architecture 100 is shown to which an embodiment of a wind turbine generator blade damage detection device based on field effect of the present application can be applied.

[0038] like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0039] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as model training applications, video recognition applications, web browser applications, social platform software, etc.

[0040] Terminal devices 101, 102, 103 can be hardware or software. When terminal devices 101, 102, 103 are hardware, they can be various electronic devices with display screens, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, Moving Picture Experts Group Audio Layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts Group Audio Layer 4) players, laptop computers and desktop computers, etc. When terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules (for example, multiple software or software modules used to provide distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

[0041] When the terminals 101, 102, and 103 are hardware, a video acquisition device may be installed thereon. The video acquisition device may be any device capable of acquiring video, such as a camera, a sensor, etc. A user may use the video acquisition device on the terminals 101, 102, and 103 to acquire video.

[0042] The server 105 may be a server that provides various services, such as a background server that processes the data displayed on the terminal devices 101, 102, and 103. The background server may analyze the received data and feed back the processing results (such as damage type) to the terminal device. The terminal devices 101, 102, and 103 may receive or process the data collected by the sensor in the embodiment of the present application.

[0043] It should be noted that the server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules (for example, multiple software or software modules for providing distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

[0044] It should be understood that Figure 1 The number of terminal devices, networks and servers in the above is only illustrative. According to the implementation requirements, there may be any number of terminal devices, networks and servers. In particular, when the target data does not need to be acquired remotely, the above system architecture may not include a network, but only include terminal devices or servers.

[0045] Figure 2FIG. 1 is a flow chart of a method for detecting damage to a wind turbine generator blade based on field effect according to an embodiment of the present application. The method may be performed by Figure 1 The wind turbine generator blade damage detection method based on field effect of this embodiment may include the following steps:

[0046] S201: Obtain the current capacitance value of the target segment, wherein the upper and lower surfaces of the outer portion of the blade are provided with a first conductive layer, the top and bottom of the internal cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of segments, a sensor is provided inside each segment, and the sensor is used to collect the capacitance value of the corresponding segment.

[0047] The method of this embodiment is used to detect damage to the blades of a wind turbine generator, and specifically, the damage is detected using the capacitance of the wind turbine generator blades themselves. During the detection process, it is necessary to obtain the current capacitance value of the target section of the wind turbine generator blades. Among them, the wind turbine generator blades in this embodiment are provided with a first conductive layer. Since the blades are flat structures, it is equivalent to providing a first conductive layer on the upper and lower surfaces of the outer surface of the blades to form electrodes. The material of the first conductive layer can be, for example, a silver-based conductive coating or a carbon nanotube composite coating. Specifically, spraying or brushing can be used to ensure uniformity, and it can be completed using existing coating equipment without investing in additional large equipment, thereby saving costs. During the coating process, an appropriate surface can be selected to establish an electric field without the need for full coating.

[0048] Carbon fiber or metal mesh conductive material is embedded in the interior of the wind turbine generator blade as the second conductive layer. Specifically, it can be embedded synchronously during the manufacturing process of the blade. It can be embedded by lamination or co-extrusion molding. In this way, it can be seamlessly integrated with the manufacturing process of the blade without significantly increasing the additional production time.

[0049] In addition, in order to more significantly measure the capacitance of the wind turbine generator blades, a capacitor plate can be simultaneously set at the positions of the first conductive layer and the second conductive layer. Specifically, the capacitor plate can be a flexible printed circuit board and can be installed by pasting or embedding.

[0050] By providing the first conductive layer and the second conductive layer, a capacitive field is successfully constructed on the wind turbine generator blade, and thus the capacitance of the wind turbine generator blade can be obtained.

[0051] like Figure 4 , which is a schematic structural diagram of the first conductive layer in the wind turbine generator blade damage detection method based on field effect; Figure 5It is a schematic diagram of the structure of the second conductive layer in the wind turbine generator blade damage detection method based on field effect. Figure 4 shows the distribution of electrodes, electric field lines, and capacitive sensors. Figure 5 The distribution of electrodes, electric field lines, and integrated sensors is shown.

[0052] S202: Compare the current capacitance value with the reference capacitance value of the target section to determine a deviation of the current capacitance value relative to the reference capacitance value.

[0053] Specifically, capacitance detection may be performed on each section of the undamaged blade in advance to obtain a reference capacitance corresponding to each section.

[0054] Since the wind turbine generator blades include a solid part and a hollow part, and the thickness and width of the cavity part are also inconsistent, it is necessary to test the capacitance of the blade in sections. At the same time, since the length of the blade is long, it is also necessary to test in sections. In an embodiment of the present application, the blade is divided into multiple sections, and each section is tested separately. The solid section uses the first conductive layer to measure the current capacitance, and the cavity section uses the first conductive layer and the second conductive layer to measure the current capacitance value respectively, and the damage of the corresponding section is determined by combining the measurement results.

[0055] The detection principle of the embodiment of the present application is: damage causes changes in the local dielectric constant, causing changes in capacitance. The dielectric constant of traditional glass fiber composite materials or carbon composite materials is quite different from that of air. Air will infiltrate into delamination or internal cracks, resulting in a significant change in the dielectric constant.

[0056] In some other embodiments, the measurement can also be performed by impedance analysis, the principle of which is that damage changes the impedance characteristics of the electrode network. In addition, the measurement can also be performed by electric field distribution imaging, the principle of which is that damage causes local electric field distortion.

[0057] After the current capacitance value is obtained, the current capacitance value may be compared with a pre-acquired reference capacitance.

[0058] S203: determining a capacitance deviation ratio of a target section according to the deviation, and comparing the capacitance deviation ratio with a preset deviation threshold.

[0059] In this embodiment, a typical large wind turbine blade with a blade length of 50 meters, an average chord length of 3 meters, and an average thickness of 0.3 meters is assumed, and the cavity structure gradually decreases from the root to 40 meters, the length of the solid part: L_solid = 10 meters (close to the tip of the blade), the root cavity thickness: d_hollow_root = 0.25 meters, the cavity thickness at 40 meters: d_hollow_tip = 0.05 meters, the relative dielectric constant of the composite material εr_composite = 4.5, the relative dielectric constant of air εr_air = 1.0, and the vacuum dielectric constant ε0 = 8.854×10^-12F / m.

[0060] Capacitance changes due to delamination (delamination) in the form of internal cavities, taking a medium-sized delamination (5m x 1m x2mm air gap) as an example:

[0061] Calculate the reference capacitance, segment equivalent calculation, divided into 5 segments, the solid part of 40-50m does not include the capacitance of the internal cavity configuration, assuming that the medium-sized delamination (5m x 1m x 2mm air gap) occurs in the second segment (8-16m):

[0062] The first section (0-8m): average cavity thickness d1 = 0.23m C1 = ε0*εr_air*(W*8) / d1 = 8.854×10^-12*1.0*(3*8) / 0.23≈0.92×10^-9F,

[0063] The second section (8-16m): average cavity thickness d2 = 0.19m C2 = 8.854×10^-12*1.0*(3*8) / 0.19≈1.12×10^-9F,

[0064] The third section (16-24m): average cavity thickness d3 = 0.15m C3 = 8.854×10^-12*1.0*(3*8) / 0.15≈1.42×10^-9F,

[0065] The fourth section (24-32m): average cavity thickness d4 = 0.11m C4 = 8.854×10^-12*1.0*(3*8) / 0.11≈1.93×10^-9F,

[0066] The fifth section (32-40m): average cavity thickness d5 = 0.07m C5 = 8.854×10^-12*1.0*(3*8) / 0.07≈3.04×10^-9F,

[0067] Total capacitance (in parallel) C_total = C1 + C2 + C3 + C4 + C5 ≈ 8.43 × 10^-9 F = 8.43 nF.

[0068] Calculate the new capacitance of the delamination area: C_delamination = 8.854×10^-12*1.0*(5*1) / (0.19-0.002)≈2.36×10^-10F.

[0069] Original delamination area capacitance: C_original_area = 1.12×10^-9*(51) / (83) = 2.33×10^-10F.

[0070] Calculate the total capacitance change: ΔC = C_delamination - C_original_area = 2.36×10^-10 - 2.33×10^-10 = 3×10^-12F.

[0071] Calculate the relative change: Relative change = |ΔC| / C_total*100% = (3×10^-12) / (8.43×10^-9)*100%≈0.036%.

[0072] Internal crack detection capability in the form of internal cavities, taking a medium crack (50cm long, 2mm wide) occurring in the third section (16-24m) as an example:

[0073] Reference capacitance: 8.43nF.

[0074] Capacitance of original crack area: C_original_crack = 1.42×10^-9*(0.5*0.002) / (8*3) = 5.92×10^-14F.

[0075] Capacitance of the area after the crack: C_crack = 8.854×10^-12*1.0*(0.5*0.002) / (0.15+0.0005)≈5.88×10^-14F (assuming that the crack increases the cavity thickness by 0.5mm).

[0076] Calculate the total capacitance change: ΔC = C_crack - C_original = 5.88×10^-14 - 5.92×10^-14 = -4×10^-16F.

[0077] Calculate the relative change: |ΔC| / C_cavity*100%=(4×10^-16) / (8.43×10^-9)*100%≈0.0000047%.

[0078] Capacitance changes caused by delamination of surface electrode configuration, taking medium delamination (5m x 1m, 2mm air gap) as an example:

[0079] Calculate the reference capacitance, segment equivalent calculation, divided into 6 sections, the 40-50m solid part does not include the capacitance of the internal cavity configuration, and the last section is a solid layer. Assume that a medium-sized delamination (5m x 1m x 2mm air gap) occurs in the second section (8-16m):

[0080] The first section (0-8m): average cavity thickness d1 = 0.23m; εr_eq1 = 0.3 / ((0.07 / 4.5)+(0.23 / 1.0))≈1.247; C1 = ε0*εr_eq1*(W*8) / d_total = 8.854×10^-12*1.247*(3*8) / 0.3≈0.88×10^-9F,

[0081] The second section (8-16m): average cavity thickness d2 = 0.19m; εr_eq2 = 0.3 / ((0.11 / 4.5)+(0.19 / 1.0))≈1.379; C2 = 8.854×10^-12*1.379*(3*8) / 0.3≈0.98×10^-9F,

[0082] The third section (16-24m): average cavity thickness d3 = 0.15m; εr_eq3 = 0.3 / ((0.15 / 4.5)+(0.15 / 1.0))≈1.552; C3 = 8.854×10^-12*1.552*(3*8) / 0.3≈1.10×10^-9F,

[0083] The fourth section (24-32m): average cavity thickness d4 = 0.11m; εr_eq4 = 0.3 / ((0.19 / 4.5)+(0.11 / 1.0))≈1.784; C4 = 8.854×10^-12*1.784*(3*8) / 0.3≈1.26×10^-9F,

[0084] The fifth section (32-40m): average cavity thickness d5 = 0.07mεr_eq5 = 0.3 / ((0.23 / 4.5)+(0.07 / 1.0))≈2.109C5 = 8.854×10^-12*2.109*(3*8) / 0.3≈1.49×10^-9F,

[0085] The sixth section (40-50m): C6 = ε0*εr_composite*(W*10) / d_total C6 = 8.854×10^-12*4.5*(3*10) / 0.3≈4.43×10^-9F,

[0086] Total capacitance (in parallel) C_total = C1 + C2 + C3 + C4 + C5 + C6 ≈ 10.14 × 10^-9F = 10.14nF.

[0087] Original delamination area capacitance: C_original_area = 0.98×10^-9*(51) / (83) = 2.04×10^-10F.

[0088] Capacitance of the region after delamination: εr_eq_delamination=0.3 / ((0.11 / 4.5)+(0.188 / 1.0)+(0.002 / 1.0))≈1.375C_delamination=8.854×10^-12*1.375*(5*1) / 0.3≈2.03×10^-10F.

[0089] Capacitance change: ΔC = C_delamination - C_original_area = 2.03×10^-10-2.04×10^-10 = -1×10^-12F.

[0090] Relative change: Relative change = |ΔC| / C_total*100% = (1×10^-12) / (10.14×10^-9)*100%≈0.0099%.

[0091] Internal crack detection capability, taking a medium crack (50cm long, 2mm wide) occurring in the third section (16-24m) as an example:

[0092] Reference capacitance: 10.14nF.

[0093] Original capacitance of crack area: C_original_crack = 1.10×10^-9*(0.5*0.002) / (8*3) = 4.58×10^-14F.

[0094] Assume that the crack increases the local cavity thickness by 0.5 mm: εr_eq_crack=0.3 / ((0.1505 / 4.5)+(0.1495 / 1.0))≈1.549C_crack=8.854×10^-12*1.549*(0.5*0.002) / 0.3≈4.57×10^-14F.

[0095] Calculate the total capacitance change: ΔC = C_crack - C_original_crack = 4.57×10^-14 - 4.58×10^-14 = -1×10^-16F.

[0096] Calculate the relative change: Relative change = |ΔC| / C_total*100% = (1×10^-16) / (10.14×10^-9)*100%≈0.00000099%.

[0097] After the capacitance deviation ratio is calculated, the capacitance deviation ratio may be compared with a preset deviation threshold.

[0098] S204: Determine the damage type of the blade according to the comparison result.

[0099] The blade damage type is determined according to the deviation threshold corresponding to the capacitance deviation ratio. The blade damage types include delamination and internal cracks. Different damage types have different deviation thresholds. For example, the deviation threshold of the delamination type is >0.01%, and the deviation threshold of the internal crack type is <0.01%.

[0100] According to the embodiments of the present application, the following technical effects are achieved:

[0101] High sensitivity: Can detect millimeter-level internal damage; high sensitivity for delamination detection, can produce 0.036% capacitance change for 5m x 1m x 2mm delamination, far superior to traditional visual inspection.

[0102] Full coverage: It can realize continuous monitoring of the entire blade without blind spots; it is suitable for large wind turbine blades up to 50 meters long, including the cavity and solid part, especially for the monitoring of large-blade wind turbines such as offshore wind power.

[0103] Real-time monitoring: Continuous field effect measurement with millisecond response time.

[0104] Non-intrusive: The detection process does not affect the structural integrity of the blade; it can be integrated or retrofitted during the blade manufacturing process without affecting the blade strength.

[0105] Strong adaptability: suitable for blades of various structures and sizes, with adjustable detection parameters (such as cavity thickness from 0.25m to 0.05m); suitable for blades of various materials (such as glass fiber composites, carbon composites) and sizes.

[0106] After system integration, it is more cost-effective: using common materials (such as conductive paint, carbon fiber) and simple manufacturing processes; low long-term operating costs, no need for frequent manual inspections; short payback time.

[0107] Predictive maintenance: Extending blade life through continuous monitoring and data analysis to predict potential failures is expected to extend blade service life by 15-20%.

[0108] Improved safety: timely detection of damage reduces the risk of blade failure by more than 80%.

[0109] Easy to implement: It uses common materials and processes, which is convenient for large-scale promotion. It can be seamlessly integrated with the blade manufacturing process without significantly increasing production time. The installation time can be controlled within 1-2 days, reducing wind turbine downtime.

[0110] Low maintenance requirements: The self-powered design and wireless transmission reduce the need for on-site maintenance, and only 1-2 routine inspections are expected each year.

[0111] In addition, as an optional embodiment of the present application, in the above embodiment, it can also include: establishing a relationship model between ambient temperature and capacitance change percentage according to environmental factors in advance, and the method also includes correcting the current capacitance value according to the relationship model.

[0112] For example, a temperature, humidity and capacitance relationship model can be established based on the ambient temperature and humidity to determine the percentage of capacitance change caused by each degree of temperature change. Then, in the actual measurement process, the temperature, humidity and capacitance relationship model can be used to first correct the measurement results, and then perform subsequent calculations to avoid false detection caused by the influence of ambient temperature and humidity.

[0113] In addition, in order to eliminate the systematic errors between different sensors, relative change rates rather than absolute values ​​can be used for comparison.

[0114] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0115] The above is an introduction to the method embodiment. The following is a further explanation of the scheme described in this application through an apparatus embodiment.

[0116] Figure 3 FIG. 4 is a block diagram of a wind turbine generator blade damage detection device based on field effect according to an embodiment of the present application, as shown in FIG. Figure 3 As shown, including:

[0117] The capacitance acquisition module 301 is used to acquire the current capacitance value of the target section, wherein the upper and lower surfaces of the outer surface of the blade are provided with a first conductive layer, the top and bottom of the inner cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of sections, each section is provided with a sensor, and the sensor is used to collect the capacitance value of the corresponding section;

[0118] A comparison module 302 is used to compare the current capacitance value with the reference capacitance value of the target section to determine the deviation of the current capacitance value relative to the reference capacitance value; determine the capacitance deviation ratio of the target section according to the deviation, and compare the capacitance deviation ratio with a preset deviation threshold;

[0119] The damage type determination module 303 is used to determine the damage type of the blade according to the comparison result.

[0120] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0121] Figure 6 A schematic diagram of the structure of a terminal device or server suitable for implementing an embodiment of the present application is shown.

[0122] like Figure 6 As shown, the terminal device or server includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 602 or the program loaded from the storage part 608 into the random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the terminal device or server are also stored. The CPU 601, ROM 602 and RAM 603 are connected to each other through a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0123] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.

[0124] In particular, according to an embodiment of the present application, the above method flow steps can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a machine-readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the central processing unit (CPU) 601, the above-mentioned functions defined in the system of the present application are executed.

[0125] It should be noted that the computer-readable medium shown in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0126] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of the code, and the aforementioned module, program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0127] The units or modules involved in the embodiments described in the present application may be implemented by software or hardware. The units or modules described may also be arranged in a processor. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.

[0128] As another aspect, the present application further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable storage medium stores one or more programs, and when the above programs are used by one or more processors to execute the method described in the present application.

[0129] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A wind turbine generator blade damage detection method based on field effect, characterized in that: include: Obtaining the current capacitance value of the target section, wherein the upper and lower surfaces of the outer portion of the blade are provided with a first conductive layer, the top and bottom of the inner cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of sections, each section is provided with a sensor, and the sensor is used to collect the capacitance value of the corresponding section; Comparing the current capacitance value with a reference capacitance value of the target section to determine a deviation of the current capacitance value relative to the reference capacitance value; determining a capacitance deviation ratio of a target section according to the deviation, and comparing the capacitance deviation ratio with a preset deviation threshold; Determine the damage type of the blade based on the comparison results.

2. The detection method according to claim 1, characterized in that: The first conductive layer is a silver-based conductive coating or a carbon nanotube composite coating coated on the outer surface of the blade.

3. The detection method according to claim 1, characterized in that: The second conductive layer is a conductive material embedded in carbon fiber or metal grid during the blade manufacturing process.

4. The detection method according to claim 1, characterized in that: Also includes: The capacitance of each section of the undamaged blade is detected in advance to obtain the reference capacitance corresponding to each section.

5. The detection method according to claim 4, characterized in that: Dividing the blade into a solid section and a cavity section; The solid section uses the first conductive layer to measure the current capacitance, and the cavity section uses the first conductive layer and the second conductive layer to measure the current capacitance respectively, and the damage of the corresponding section is determined by combining the measurement results.

6. The detection method according to claim 1, characterized in that: Blade damage types include delamination and internal cracks, and different damage types correspond to different deviation thresholds.

7. The detection method according to claim 1, characterized in that: Also includes: A relationship model between ambient temperature and capacitance change percentage is established in advance according to environmental factors, and the method further includes correcting the current capacitance value according to the relationship model.

8. A wind turbine generator blade damage detection device based on field effect, characterized in that: include: A capacitance acquisition module, used to acquire the current capacitance value of the target section, wherein the upper and lower surfaces of the outer surface of the blade are provided with a first conductive layer, the top and bottom of the internal cavity of the blade are provided with a second conductive layer, the blade is divided into a plurality of sections, each section is provided with a sensor, and the sensor is used to collect the capacitance value of the corresponding section; A comparison module, used to compare the current capacitance value with the reference capacitance value of the target section to determine the deviation of the current capacitance value relative to the reference capacitance value; determine the capacitance deviation ratio of the target section according to the deviation, and compare the capacitance deviation ratio with a preset deviation threshold; The damage type determination module is used to determine the damage type of the blade according to the comparison result.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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