Blade defect detection method based on ultrasonic infrared thermal imaging and electronic equipment
By combining ultrasonic and infrared thermal imaging technology in fan blade detection, the problem of low accuracy in fan blade defect detection is solved, achieving higher detection accuracy and simplicity of operation.
Patent Information
- Application Number
- CN202411972291.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-03-18
AI Technical Summary
In the prior art, the accuracy of defect detection of fan blades is low, resulting in misjudgment and misjudgment of detection, resulting in economic losses.
The blade defect detection method based on ultrasonic infrared thermal imaging is adopted, and the ultrasonic excitation signal is sent to the transducer through an ultrasonic generator. The infrared thermal imager collects defective thermal signals and structural edge thermal signals. The electronic equipment eliminates structural edge thermal signals and determines the defect type of the blade based on the defective thermal signals.
It improves the accuracy of fan blade defect detection, reduces the experience requirements for the inspectors, and has strong ease of use and practicality.
Smart Images
Figure CN119643700A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of wind turbine blade detection, and in particular to a blade defect detection method and electronic equipment based on ultrasonic infrared thermal imaging. Background Art
[0002] Among all the components of wind turbines, blades are one of the few composite materials. Because they need to have toughness, strength, light weight, and low cost, they are usually made of glass fiber. If defects are not discovered in time during the manufacturing or subsequent operation of the blades, they will break and cause the tower to collapse, seriously endangering the safe operation of the wind turbines in the wind power plant.
[0003] Conventional blade inspection methods are visual inspection combined with ultrasonic inspection. Since the ultrasonic inspection process is relatively complicated and has high requirements for operators, it is easy to cause misjudgment and missed judgment when the inspectors are inexperienced, resulting in unnecessary economic losses.
[0004] In the prior art, the accuracy of defect detection of fan blades is low. Therefore, how to improve the accuracy of defect detection of fan blades has become a problem to be solved. Summary of the invention
[0005] The purpose of this application is to provide a blade defect detection method based on ultrasonic infrared thermal imaging, which can solve the problem of low accuracy of defect detection of fan blades in the prior art.
[0006] In a first aspect, an embodiment of the present application provides a blade defect detection method based on ultrasonic infrared thermal imaging, which is implemented according to a blade defect detection system based on ultrasonic infrared thermal imaging. The method includes: Based on the ultrasonic generator, an ultrasonic excitation signal is sent to the transducer; Based on the transducer, the ultrasonic excitation signal is transmitted to the actual blade to be detected corresponding to the blade to be detected after the gridding process, and the actual blade to be detected is ultrasonically excited; Based on the infrared thermal imager, the defect heat signal and structure edge heat signal generated when the ultrasonic excitation is applied to the actual blade to be inspected are collected, and the defect heat signal and structure edge heat signal are sent to the electronic equipment; Based on the electronic equipment, the defect thermal signal and the structure edge thermal signal are received, the structure edge thermal signal is eliminated, and the defect type of the blade is determined according to the defect thermal signal.
[0007] In a possible implementation of the first aspect, the system includes: An ultrasonic generator, used for sending an ultrasonic excitation signal to the transducer; A transducer is used to transmit an ultrasonic excitation signal to an actual blade to be detected corresponding to the blade to be detected after gridding processing, and ultrasonically excite the actual blade to be detected; The infrared thermal imager collects the defect heat signal and structure edge heat signal generated when the actual blade to be inspected is ultrasonically excited, and sends the defect heat signal and structure edge heat signal to the electronic equipment; The electronic device is used to receive the defect thermal signal and the structure edge thermal signal, remove the structure edge thermal signal, and determine the defect type of the blade according to the defect thermal signal.
[0008] In a possible implementation manner of the first aspect, the transducer is connected to any position of the actual blade to be detected through a coupling agent.
[0009] In a possible implementation manner of the first aspect, the method further includes: Based on the electronic equipment, the blades to be detected are gridded according to the material and specification of the blades to be detected to obtain the blades to be detected after the gridding process.
[0010] In a possible implementation manner of the first aspect, the defect types include: point defects and surface defects; and determining the defect type of the blade according to the defect thermal signal includes: If the defect heat signal is a point signal, the excitation time of the actual blade to be detected is extended; According to the diffusion area of the defect heat signal after the excitation time is extended, the defect type of the blade is determined to be a point defect or a surface defect.
[0011] In a possible implementation of the first aspect, determining the defect type of the blade as a point defect or a surface defect according to the diffusion area of the defect heat signal after the excitation time is extended includes: If the diffusion area of the defect heat signal after the extended excitation time is smaller than the preset threshold, the defect type of the blade is determined to be a point defect; If the diffusion area of the defect heat signal after the excitation time is extended is greater than or equal to a preset threshold, it is determined that the defect type of the blade is a surface defect.
[0012] In a possible implementation manner of the first aspect, the method further includes: Adjust the ultrasonic excitation signal parameters to control the defect detection effect.
[0013] In a possible implementation manner of the first aspect, the ultrasonic excitation signal parameters include: signal frequency and pulse time, and the pulse time determines the signal amplitude and waveform; adjusting the ultrasonic excitation signal parameters to control the defect detection effect includes: When the defect detection effect does not meet expectations, increase the signal frequency; When the increased signal frequency reaches the upper limit, if the defect detection effect does not meet expectations, the pulse time is increased until the defect thermal signal appears with the expected effect within a preset time range.
[0014] In a second aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the blade defect detection method based on ultrasonic infrared thermal imaging according to any one of the first aspects described above is implemented.
[0015] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the blade defect detection method based on ultrasonic infrared thermal imaging according to any one of the first aspects above.
[0016] In a fourth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes any one of the blade defect detection methods based on ultrasonic infrared thermal imaging in the first aspect.
[0017] The present application scheme is based on an ultrasonic generator, which sends an ultrasonic excitation signal to a transducer; based on the transducer, the ultrasonic excitation signal is transmitted to the actual blade to be inspected corresponding to the blade to be inspected after gridding processing, and the actual blade to be inspected is ultrasonically excited; based on an infrared thermal imager, the defect heat signal and the structure edge heat signal generated when the actual blade to be inspected is ultrasonically excited are collected, and the defect heat signal and the structure edge heat signal are sent to the electronic device; based on the electronic device, the defect heat signal and the structure edge heat signal are received, the structure edge heat signal is eliminated, and the defect type of the blade is determined according to the defect heat signal.
[0018] The present application scheme can improve the accuracy of defect detection of wind turbine blades and has strong ease of use and practicality.
[0019] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0021] Figure 1 It is a schematic diagram of the steps of a blade defect detection method based on ultrasonic infrared thermal imaging provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a blade defect detection system based on ultrasonic infrared thermal imaging provided in an embodiment of the present application; Figure 3 is a thermal imaging schematic diagram of a crack provided in an embodiment of the present application; Figure 4 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0022] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.
[0023] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or photovoltaic components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, photovoltaic components and / or combinations thereof.
[0024] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.
[0025] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0026] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.
[0027] In addition, in the description of the present application, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.
[0028] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0029] Among all the components of wind turbines, blades are one of the few composite materials. Because they need to have toughness, strength, light weight, and low cost, they are usually made of glass fiber. If defects are not discovered in time during the manufacturing or subsequent operation of the blades, they will break and cause the tower to collapse, seriously endangering the safe operation of the wind turbines in the wind power plant.
[0030] Conventional blade inspection methods are visual inspection combined with ultrasonic inspection. Since the ultrasonic inspection process is relatively complicated and has high requirements for operators, it is easy to cause misjudgment and missed judgment when the inspectors are inexperienced, resulting in unnecessary economic losses.
[0031] In the prior art, the accuracy of defect detection of fan blades is low. Therefore, how to improve the accuracy of defect detection of fan blades has become a problem to be solved.
[0032] In response to the above defects, an embodiment of the present application provides a blade defect detection method based on ultrasonic infrared thermal imaging, which is based on an ultrasonic generator to send an ultrasonic excitation signal to a transducer; based on the transducer, the ultrasonic excitation signal is transmitted to the actual blade to be inspected corresponding to the blade to be inspected after gridding processing, and the actual blade to be inspected is ultrasonically excited; based on an infrared thermal imager, the defect thermal signal and the structural edge thermal signal generated when the actual blade to be inspected is ultrasonically excited are collected, and the defect thermal signal and the structural edge thermal signal are sent to an electronic device; based on the electronic device, the defect thermal signal and the structural edge thermal signal are received, the structural edge thermal signal is eliminated, and the defect type of the blade is determined according to the defect thermal signal.
[0033] The present application scheme can improve the accuracy of defect detection of wind turbine blades and has strong ease of use and practicality.
[0034] The specific process implemented by this application is introduced below through specific embodiments.
[0035] See also Figure 1 , Figure 1Schematic diagram of the steps of the blade defect detection method based on ultrasonic infrared thermal imaging provided in the embodiment of the present application. The method is implemented according to the blade defect detection system based on ultrasonic infrared thermal imaging. The structural schematic diagram of the blade defect detection system based on ultrasonic infrared thermal imaging is as follows Figure 2 As shown, the system includes: an ultrasonic generator, a transducer, an infrared thermal imager (infrared collector) and electronic equipment (such as a computer or other computing equipment).
[0036] The ultrasonic generator is used to send an ultrasonic excitation signal to the transducer. The transducer is used to transmit the ultrasonic excitation signal to the actual blade to be detected corresponding to the blade to be detected after the gridding process, and ultrasonically excite the actual blade to be detected.
[0037] The infrared thermal imager collects the defect heat signal and structure edge heat signal generated when the actual blade to be inspected is ultrasonically excited, and sends the defect heat signal and structure edge heat signal to the electronic device. The electronic device is used to receive the defect heat signal and structure edge heat signal, remove the structure edge heat signal, and determine the defect type of the blade according to the defect heat signal.
[0038] The defect of the blade may be a crack, and the thermal imaging diagram of the crack is as follows: Figure 3 shown.
[0039] It should be noted that ultrasound propagates in an object through interface coupling. When encountering damage such as cracks and delamination, contact and collision occur between the two interfaces of the medium damage under the excitation of ultrasound, and the friction between the particles converts the mechanical energy generated by ultrasound into heat energy. Figure 3 As shown in the figure, when there is a defect in the inspected blade, the temperature field at the defective part will change significantly.
[0040] In some embodiments, a suitable transducer and infrared thermal imager are selected according to the spatial size of the blade to be tested. If the blade has not been installed, it can be tested by hand-held mode. If the blade is installed, the detection is achieved by installing a clamping device on a drone.
[0041] According to one embodiment of the present application, the transducer is connected to any position of the actual blade to be tested through a coupling agent. The front end of the ultrasonic transducer is dipped in the coupling agent to ensure a good excitation effect. The transducer is first placed in the middle of the grid for testing. After the test is completed, the front end of the transducer is dipped in the coupling agent again and then tested at any other defect-free part of the grid to avoid the phenomenon that the defect in the part is not detected due to the contact part of the transducer being blocked.
[0042] In some embodiments, the inspector selects a low-frequency, short-pulse ultrasonic signal according to the material of the inspected component in the program and converts it into a suitable electrical signal through an ultrasonic generator and then outputs it through a transducer. A coupling agent should be applied between the transducer and the inspected component to ensure good transmission of the sound wave, and the infrared detector is placed in the inspected range to collect signals and transmit them to the computer.
[0043] In the analysis program, the defective infrared signals are captured and marked according to the big data training mode, and the ultrasonic signal output is cut off. When the blade is installed, the transducer and infrared collector can be operated using a drone plug-in.
[0044] According to one implementation of the present application, Figure 1 As shown, the method may include the following steps: S101, based on the ultrasonic generator, sending an ultrasonic excitation signal to the transducer.
[0045] Among them, the ultrasonic excitation signal is short pulse (50~200 ms), low frequency (20~40 kHz) ultrasonic wave.
[0046] According to one embodiment of the present application, the method further includes: Based on electronic equipment, according to the material and specifications of the blades to be inspected, the blades to be inspected are gridded to obtain the blades to be inspected after gridding, thereby improving the defect detection rate and achieving the best defect detection rate. According to the gridding results, an infrared thermal imager (collector) is placed in the current inspected area.
[0047] S102, based on the transducer, transmitting the ultrasonic excitation signal to the actual blade to be detected corresponding to the blade to be detected after the gridding processing, and performing ultrasonic excitation on the actual blade to be detected.
[0048] S103, based on the infrared thermal imager, collecting the defect thermal signal and the structure edge thermal signal generated when the actual blade to be inspected is ultrasonically excited, and sending the defect thermal signal and the structure edge thermal signal to the electronic device.
[0049] S104, based on the electronic device, receiving the defect thermal signal and the structure edge thermal signal, removing the structure edge thermal signal, and determining the defect type of the blade according to the defect thermal signal.
[0050] According to an embodiment of the present application, the defect types include: point defects and surface defects. Determining the defect type of the blade according to the defect heat signal includes: If the defect heat signal is a point signal, the excitation time of the actual blade to be detected is extended; According to the diffusion area of the defect heat signal after the excitation time is extended, the defect type of the blade is determined to be a point defect or a surface defect.
[0051] According to an implementation of the present application, determining the defect type of the blade as a point defect or a surface defect according to the diffusion area of the defect heat signal after the excitation time is extended includes: If the diffusion area of the defective thermal signal after the extended excitation time is less than the preset threshold, the defect type of the blade is determined to be a point defect; if the diffusion area of the defective thermal signal after the extended excitation time is greater than or equal to the preset threshold, the defect type of the blade is determined to be a surface defect.
[0052] In some embodiments, the signal is collected by an infrared thermal imager and observed on the screen, and attention should be paid to distinguishing the difference between the defect heat signal and the structure edge heat signal. Generally speaking, the structure edge heat signal is consistent with the edge of the inspected component, and the defect heat signal tends to be scattered and of varying lengths. When a point defect signal is found, the excitation time can be appropriately extended, and the defect can be determined to be a point defect or an area defect based on the diffusion area of the heat signal. That is, after the time is extended, if the center temperature increases significantly and the heat signal area does not increase significantly, the defect is a point defect. If the center temperature increases with the expansion of the area, then there is an area defect (such as cracks, delamination, etc.) in this part.
[0053] In some embodiments, during the operation, the inspector applies an ultrasonic excitation signal to the blade to be inspected. The ultrasonic wave propagates in the object through interface coupling. When encountering damage such as cracks and delamination, contact and collision occur between the two interfaces of the medium damage under the excitation of the ultrasonic wave, and the friction between the particles converts the mechanical energy generated by the ultrasonic wave into heat energy, thereby significantly increasing the temperature of the damaged area and the adjacent area. An infrared thermal imager is used to observe and record the changes in the surface temperature field of the inspected blade.
[0054] If there is a significant change in the surface temperature field of the inspected blade locally, that is, the temperature rises, then there is a defect in that part; if the overall temperature field is evenly distributed, it proves that there is no obvious defect in the inspected area of the blade.
[0055] According to an embodiment of the present application, the method further includes: adjusting ultrasonic excitation signal parameters to control defect detection effects.
[0056] According to an embodiment of the present application, the ultrasonic excitation signal parameters include: signal frequency and pulse time, and the pulse time determines the signal amplitude and waveform. Adjusting the ultrasonic excitation signal parameters to control the defect detection effect includes: When the defect detection effect does not meet expectations, the signal frequency is increased. When the increased signal frequency reaches the upper limit, if the defect detection effect does not meet expectations, the pulse time is increased until the defect thermal signal appears with the expected effect within the preset time range.
[0057] In some embodiments, the appropriate sound velocity and frequency are selected according to the material of the component to be inspected (e.g. 80m / s and 25kHz for glass fiber). When the defect signal excitation effect is weak, the signal frequency can be increased first (adjusted in units of 1kHz). When the frequency is close to the upper limit (40kHz), if the excitation effect is still not obvious, the pulse time can be increased (corresponding to the waveform and amplitude related parameters, adjusted in units of 10ms) until the defect signal appears quickly within 1~2s and is relatively clear.
[0058] The blade defect detection method based on ultrasonic infrared thermal imaging provided in the embodiment of the present application is based on an ultrasonic generator to send an ultrasonic excitation signal to a transducer; based on the transducer, the ultrasonic excitation signal is transmitted to the actual blade to be detected corresponding to the blade to be detected after gridding processing, and the actual blade to be detected is ultrasonically excited; based on an infrared thermal imager, the defect thermal signal and the structure edge thermal signal generated when the actual blade to be detected is ultrasonically excited are collected, and the defect thermal signal and the structure edge thermal signal are sent to an electronic device; based on the electronic device, the defect thermal signal and the structure edge thermal signal are received, the structure edge thermal signal is eliminated, and the defect type of the blade is determined according to the defect thermal signal.
[0059] The present application scheme can improve the accuracy of defect detection of wind turbine blades and has strong ease of use and practicality.
[0060] The present application scheme applies an ultrasonic excitation signal to the blade to be inspected in the wind direction, and the ultrasonic wave propagates in the object through interface coupling. When encountering damage such as cracks and delamination, contact and collision occur between the two interfaces of the medium damage under the excitation of the ultrasonic wave, and the friction between the particles converts the mechanical energy generated by the ultrasonic wave into thermal energy, thereby significantly increasing the temperature of the damaged area and the adjacent area. An infrared thermal imager is used to observe and record the changes in the surface temperature field of the inspected blade to determine whether the blade has defects. The present application scheme is easy to operate and reduces the requirements for inspection personnel.
[0061] Compared with other non-destructive testing technologies, the present application scheme has significant advantages: the detection speed is fast, and the existence of defects can generally be observed in the thermal image within 1 to 2 seconds after the start of thermal excitation; the temperature rise phenomenon caused by thermal excitation only occurs at the location where the defect exists, so the contrast between the defect and the surrounding area in the infrared thermal image is high and the detection safety is relatively high; the detection effect is relatively easy to control, and the detection effect can be controlled by adjusting the ultrasonic excitation signal parameters.
[0062] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0063] Figure 4Schematic diagram of the structure of the electronic device 4 provided in the embodiment of the present application. Figure 4 As shown, the electronic device 4 of this embodiment includes: at least one processor 401 ( Figure 4 Only one is shown in the figure), a memory 403, and a computer program 402 stored in the memory 403 and executable on at least one processor 401, wherein the processor 401 implements the steps in the above method embodiment when executing the computer program 402.
[0064] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a mobile phone. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 403. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation on the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.
[0065] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware photovoltaic modules, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0066] In some embodiments, the memory 403 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. In other embodiments, the memory 403 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital card (SecureDigital, SD), a flash card (Flash Card), etc. equipped on the electronic device 4. Further, the memory 403 may also include both an internal storage unit of the electronic device 4 and an external storage device. The memory 403 is used to store an operating system, an application program, a boot loader (Boot Loader), data, and other programs, such as program codes of a computer program, etc. The memory 403 may also be used to temporarily store data that has been output or is to be output.
[0067] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, when the present application implements all or part of the processes in the above-mentioned embodiment method, it can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps applied to the method embodiment. Among them, the computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may at least include: any entity or device that can carry the computer program code to the computing device / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, such as USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable storage media cannot be electric carrier signals and telecommunication signals.
[0068] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.
[0069] An embodiment of the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the steps in the above-mentioned method embodiments.
[0070] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0071] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0072] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. The device / electronic device embodiments described above are merely schematic, and the division of the above modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or photovoltaic components can be combined or integrated into another system, and some features can be ignored and not executed. Another point is that the indirect coupling, direct coupling or communication connection between each other shown or discussed can be an indirect coupling, direct coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0073] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0074] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A blade defect detection method based on ultrasonic infrared thermal imaging, characterized in that: According to the blade defect detection system based on ultrasonic infrared thermal imaging, the method includes: Based on the ultrasonic generator, an ultrasonic excitation signal is sent to the transducer; Based on the transducer, the ultrasonic excitation signal is transmitted to the actual blade to be detected corresponding to the blade to be detected after the gridding process, and the actual blade to be detected is ultrasonically excited; Based on the infrared thermal imager, the defect thermal signal and the structure edge thermal signal generated when the actual blade to be inspected is ultrasonically excited are collected, and the defect thermal signal and the structure edge thermal signal are sent to the electronic device; Based on the electronic device, the defect thermal signal and the structure edge thermal signal are received, the structure edge thermal signal is removed, and the defect type of the blade is determined according to the defect thermal signal.
2. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 1 is characterized in that: The system comprises: The ultrasonic generator is used to send an ultrasonic excitation signal to the transducer; The transducer is used to transmit the ultrasonic excitation signal to the actual blade to be detected corresponding to the blade to be detected after the gridding process, and perform ultrasonic excitation on the actual blade to be detected; The infrared thermal imager collects defect heat signals and structure edge heat signals generated when ultrasonic excitation is applied to the actual blade to be inspected, and sends the defect heat signals and structure edge heat signals to the electronic device; The electronic device is used to receive the defect thermal signal and the structure edge thermal signal, remove the structure edge thermal signal, and determine the defect type of the blade according to the defect thermal signal.
3. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 2 is characterized in that: The transducer is connected to any position of the actual blade to be detected through a coupling agent.
4. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 1 is characterized in that: The method further comprises: Based on the electronic device, the blades to be detected are gridded according to the material and specifications of the blades to be detected to obtain the blades to be detected after gridding.
5. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 1 is characterized in that: The defect types include: point defects and surface defects; determining the defect type of the blade according to the defect thermal signal includes: If the defective thermal signal is a point signal, then the excitation time of the actual blade to be detected is prolonged; According to the diffusion area of the defect heat signal after the excitation time is extended, it is determined that the defect type of the blade is a point defect or a surface defect.
6. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 5 is characterized in that: Determining the defect type of the blade as a point defect or a surface defect according to the diffusion area of the defect heat signal after the excitation time is extended includes: If the diffusion area of the defect heat signal after the excitation time is extended is smaller than a preset threshold, it is determined that the defect type of the blade is the point defect; If the diffusion area of the defect heat signal after the excitation time is extended is greater than or equal to a preset threshold, it is determined that the defect type of the blade is the surface defect.
7. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 1 is characterized in that: The method further comprises: Adjust the ultrasonic excitation signal parameters to control the defect detection effect.
8. The blade defect detection method based on ultrasonic infrared thermal imaging according to claim 7 is characterized in that: The ultrasonic excitation signal parameters include: signal frequency and pulse time, and the pulse time determines the signal amplitude and waveform; adjusting the ultrasonic excitation signal parameters to control the defect detection effect includes: When the defect detection effect does not meet expectations, increasing the signal frequency; When the increased signal frequency reaches the upper limit, if the defect detection effect does not meet expectations, the pulse time is increased until the defect thermal signal appears with expected effects within a preset time range.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the blade defect detection method based on ultrasonic infrared thermal imaging described in any one of claims 1 to 8 is implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the blade defect detection method based on ultrasonic infrared thermal imaging described in any one of claims 1 to 8 is implemented.