Tinned copper wire defect detection method and equipment

Abstract

The invention is suitable for the technical field of copper wire defect detection, and particularly relates to a tinned copper wire defect detection method and equipment, and the method comprises the steps: obtaining copper wire sound information and sound wave transmission speed; wherein the copper wire sound information is used for reflecting sound generated during transmission of the copper wire in the detection device; the sound wave transmission speed is used for reflecting the propagation speed of sound waves in the copper wire; acquiring a copper wire transmission speed; wherein the copper wire transmission speed is used for reflecting the transmission speed of the copper wire in the detection device; analyzing according to the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed to obtain a defect position and a defect size; and analyzing according to the defect position and the defect size to obtain a defect detection result. According to the tinned copper wire defect detection method provided by the invention, the detection parameters do not need to be adjusted according to different sizes of the tinned copper wire, so that the defect detection speed and the defect detection efficiency of the tinned copper wire are effectively improved.

Description

Technical Field

[0001] The present application belongs to the technical field of copper wire defect detection, and in particular, relates to a method and device for detecting defects in tinned copper wires. Background Art

[0002] Tinned copper wire defect detection refers to the detection of possible quality defects on the surface of tinned copper wire. Tinned copper wire defect detection can detect defects on the surface of tinned copper wire through computer vision detection. Computer vision detection can improve the quality and reliability of tinned copper wire.

[0003] In the related art, when performing computer vision inspection on tinned copper wire, it is usually necessary to adjust multiple inspection parameters according to the different sizes of the tinned copper wire. For example, contrast, brightness, and threshold, etc., need to be adjusted to different settings for thinner tinned copper wire and thicker tinned copper wire. Because cumbersome parameter adjustments are required during computer vision inspection, the inspection speed and efficiency of the tinned copper wire are reduced when detecting defects in the tinned copper wire. Summary of the invention

[0004] The embodiments of the present application provide a tinned copper wire defect detection method and device, which can improve the problem of decreased defect detection speed and reduced detection efficiency of tinned copper wires when detecting tinned copper wires of different sizes.

[0005] In a first aspect, an embodiment of the present application provides a method for detecting defects in a tinned copper wire, comprising:

[0006] Acquire the copper wire sound information and the sound wave transmission speed; wherein the copper wire sound information is used to reflect the sound generated by the copper wire during transmission in the detection device; and the sound wave transmission speed is used to reflect the propagation speed of the sound wave in the copper wire;

[0007] Acquire the copper wire transmission speed; wherein the copper wire transmission speed is used to reflect the transmission speed of the copper wire in the detection device;

[0008] Analyze the sound information of the copper wire, the sound wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size;

[0009] An analysis is performed based on the defect position and the defect size to obtain a defect detection result.

[0010] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0011] A tinned copper wire defect detection method provided in an embodiment of the present application first obtains copper wire sound information for reflecting the sound generated by the copper wire during transmission in a detection device and a sound wave transmission speed for reflecting the propagation speed of the sound wave in the copper wire. By obtaining the copper wire sound information and the sound wave transmission speed, basic detection data can be provided for tinned copper wire detection, which is convenient for subsequent step processing. Then, the copper wire transmission speed for reflecting the transmission speed of the copper wire in the detection device is obtained, and then the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed are analyzed to obtain the defect position and the defect size, and then the defect position and the defect size are analyzed to finally determine the defect detection result of the tinned copper wire.

[0012] This method can effectively detect defects in tinned copper wires of different sizes. By analyzing the sound generated by the copper wire during transmission and the transmission speed of the copper wire, relevant data on the defect positions and defect sizes of tinned copper wires of different sizes can be obtained without adjusting the detection parameters according to the different sizes of the tinned copper wire. The complexity of the defect detection steps of the tinned copper wire can be reduced, thereby effectively improving the defect detection speed and defect detection efficiency of the tinned copper wire.

[0013] In a possible implementation manner of the first aspect, the analyzing according to the copper wire sound information, the sound wave transmission speed, and the copper wire transmission speed to obtain the defect position and the defect size includes:

[0014] The copper wire sound information is processed to obtain a copper wire amplitude signal and a copper wire frequency signal; wherein the copper wire amplitude signal is used to reflect the intensity change of the sound generated by the copper wire in the time domain; and the copper wire frequency signal is used to reflect the energy distribution of the sound generated by the copper wire in the frequency domain;

[0015] Analyze the transmission speed of the copper wire to obtain air flow noise information; wherein the air flow noise information is used to reflect the noise generated by the air when the copper wire moves in the detection device;

[0016] The air flow noise information and the copper wire amplitude signal are analyzed to obtain a zero-crossing difference; wherein the zero-crossing difference is used to reflect the difference between the zero-crossing rate of the copper wire amplitude signal and the zero-crossing rate obtained after processing the air flow noise information and the copper wire amplitude signal, and the zero-crossing rate is used to reflect the frequency of the sound generated by the copper wire passing through the zero point in the time domain;

[0017] When the zero-crossing difference is not 0, based on the sound wave transmission speed, the copper wire frequency signal, the air flow noise information and the copper wire transmission speed are analyzed to obtain the defect position and defect size.

[0018] In a possible implementation manner of the first aspect, analyzing the air flow noise information and the copper wire amplitude signal to obtain a zero-crossing difference includes:

[0019] Processing the air flow noise information to obtain a noise amplitude signal; wherein the noise amplitude signal is used to reflect the intensity change of the noise generated by the air flow in the time domain;

[0020] The noise amplitude signal and the copper wire amplitude signal are analyzed to obtain a zero-crossing difference.

[0021] In a possible implementation manner of the first aspect, the analyzing the noise amplitude signal and the copper wire amplitude signal to obtain a zero-crossing difference includes:

[0022] Processing the copper wire amplitude signal to obtain a first amplitude zero-crossing rate; wherein the first amplitude zero-crossing rate is used to reflect the frequency of the copper wire amplitude signal crossing the zero point in the time domain;

[0023] The zero-crossing difference is obtained by analyzing the first amplitude zero-crossing rate, the noise amplitude signal and the copper wire amplitude signal.

[0024] In a possible implementation manner of the first aspect, the analyzing the first amplitude zero-crossing rate, the noise amplitude signal, and the copper wire amplitude signal to obtain a zero-crossing difference includes:

[0025] Subtract the copper wire amplitude signal from the noise amplitude signal to obtain a differential amplitude signal; wherein the differential amplitude signal is used to reflect the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted;

[0026] Processing the differential amplitude signal to obtain a second amplitude zero-crossing rate; wherein the second amplitude zero-crossing rate is used to reflect the frequency of the differential amplitude signal crossing the zero point in the time domain;

[0027] The zero-crossing difference is obtained by comparing the first amplitude zero-crossing rate with the second amplitude zero-crossing rate.

[0028] In a possible implementation manner of the first aspect, the obtaining of the defect position and defect size by analyzing the copper wire frequency signal, the air flow noise information, and the copper wire transmission speed based on the sound wave transmission speed includes:

[0029] Processing the air flow noise information to obtain a noise frequency signal; wherein the noise frequency signal is used to reflect the distribution of the noise generated by the air in the frequency domain when the copper wire moves in the detection device;

[0030] Subtract the copper wire frequency signal from the noise frequency signal to obtain a differential frequency signal; wherein the differential frequency signal is used to reflect the distribution of the copper wire frequency signal and the noise frequency signal in the frequency domain after the signal is subtracted;

[0031] The defect position and defect size are obtained by analyzing the differential frequency signal, the copper wire transmission speed and the sound wave transmission speed.

[0032] In a possible implementation manner of the first aspect, the analyzing according to the differential frequency signal, the copper wire transmission speed, and the acoustic wave transmission speed to obtain the defect position and the defect size includes:

[0033] Performing a fast Fourier transform on the differential frequency signal to draw a spectrum diagram; wherein the spectrum diagram is used to reflect the image of the differential frequency signal in the frequency domain;

[0034] The defect position and defect size are obtained by analyzing the frequency spectrum, the copper wire transmission speed and the sound wave transmission speed.

[0035] In a possible implementation manner of the first aspect, the analyzing according to the spectrum diagram, the acoustic wave transmission speed, and the copper wire transmission speed to obtain the defect position and the defect size includes:

[0036] Analyze and extract the spectrum graph to obtain the frequency bandwidth and time width of the abnormal energy distribution; wherein the frequency bandwidth is used to reflect the frequency range occupied by the abnormal energy distribution in the spectrum graph in the frequency domain; the time width is used to reflect the duration of the abnormal energy distribution in the spectrum graph;

[0037] Analyze according to the time width to obtain the defect position;

[0038] Analyze and process the time width and the copper wire transmission speed to obtain the width of the defect size;

[0039] The depth of the defect size is obtained by analyzing and processing the frequency bandwidth and the sound wave transmission speed.

[0040] In a possible implementation manner of the first aspect, the analyzing and processing according to the frequency bandwidth and the acoustic wave transmission speed to obtain the depth of the defect size includes:

[0041] Processing is performed according to the frequency bandwidth and the acoustic wave transmission speed to obtain a thickness difference; wherein the thickness difference is used to reflect the difference between the thickness of the defective part of the copper wire and the thickness of the normal part;

[0042] The depth of the defect size is obtained by analyzing the thickness difference.

[0043] In a second aspect, an embodiment of the present application provides a tinned copper wire defect detection system, comprising:

[0044] The first acquisition module is used to acquire the copper wire sound information and the sound wave transmission speed; wherein the copper wire sound information is used to reflect the sound generated by the copper wire during transmission in the detection device; and the sound wave transmission speed is used to reflect the propagation speed of the sound wave in the copper wire;

[0045] A second acquisition module is used to acquire the copper wire transmission speed; wherein the copper wire transmission speed is used to reflect the transmission speed of the copper wire in the detection device;

[0046] A first analysis module, configured to analyze the copper wire sound information, the sound wave transmission speed, and the copper wire transmission speed to obtain a defect position and a defect size;

[0047] The second analysis module is used to analyze the defect position and the defect size to obtain a defect detection result.

[0048] In a third aspect, an embodiment of the present application provides a tinned copper wire defect detection device, comprising: a detection device and a control device, the detection device being electrically connected to the control device, the control device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method described in any one of the first aspects above.

[0049] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the first aspects above is implemented.

[0050] In a fifth aspect, an embodiment of the present application provides a computer program. When the computer program is run on a tinned copper wire defect detection device, the tinned copper wire defect detection device performs the tinned copper wire defect detection method described in any one of the first aspects above.

[0051] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] 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 any creative work.

[0053] Figure 1 It is a schematic diagram of a process of a tinned copper wire defect detection method provided in an embodiment of the present application;

[0054] Figure 2 It is a schematic diagram of the implementation process of the tinned copper wire defect detection method provided in one embodiment of the present application;

[0055] Figure 3 It is a structural schematic diagram of a tinned copper wire defect detection system provided by an embodiment of the present application;

[0056] Figure 4 It is a structural schematic diagram of a control device of a tinned copper wire defect detection device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0057] 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.

[0058] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0059] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0060] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0061] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0062] 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.

[0063] In the related art, when performing computer vision inspection on tinned copper wire, it is usually necessary to adjust multiple inspection parameters according to the different sizes of the tinned copper wire. For example, contrast, brightness, and threshold, etc., need to be adjusted to different settings for thinner tinned copper wire and thicker tinned copper wire. Because cumbersome parameter adjustments are required during computer vision inspection, the inspection speed and efficiency of the tinned copper wire are reduced when detecting defects in the tinned copper wire.

[0064] To solve the above problems, the embodiments of the present application provide a tinned copper wire defect detection method and device.

[0065] In the method, firstly, copper wire sound information reflecting the sound generated by the copper wire in the transmission of the detection device and the sound wave transmission speed reflecting the propagation speed of the sound wave in the copper wire are obtained. By obtaining the copper wire sound information and the sound wave transmission speed, basic detection data can be provided for tinned copper wire detection, which is convenient for subsequent step processing. Then, the copper wire transmission speed reflecting the transmission speed of the copper wire in the detection device is obtained, and then the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed are analyzed to obtain the defect position and the defect size, and then the defect position and the defect size are analyzed to finally determine the defect detection result of the tinned copper wire.

[0066] The tinned copper wire defect detection method provided in the embodiment of the present application can be applied to a tinned copper wire defect detection device. At this time, the tinned copper wire defect detection device is the executor of the tinned copper wire defect detection method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the tinned copper wire defect detection device.

[0067] The tinned copper wire defect detection device includes a detection device and a control device, and the detection device is electrically connected to the control device. The detection device is used to detect defects of the tinned copper wire. The detection device includes a transmission device and a measuring device. The transmission device is used to transport the tinned copper wire to pass through the measuring device. The transmission device includes a wire-releasing mechanism, a winding mechanism, a conveying mechanism and a driving mechanism. The wire-releasing mechanism is used to release the tinned copper wire smoothly and orderly. The wire-releasing mechanism can be a vertical power wire-releasing machine, a double-axis power wire-releasing machine, a shaftless wire-releasing machine, etc. The winding mechanism is used to wind the tinned copper wire into a reel. The winding mechanism can be a single-axis winding mechanism, a double-axis winding mechanism, a multi-layer winding mechanism, etc. The conveying mechanism is used to guide the tinned copper wire to enter the winding mechanism along a predetermined path. The conveying mechanism can be a conveyor belt, a guide wheel, a guide ring, etc. The driving mechanism is used to provide power to the winding mechanism. The driving mechanism can be a battery, a generator or a DC power supply, etc. The measuring device is used to measure the detection parameters of the tinned copper wire in the transmission device. The measuring device includes a speed sensor and a sound sensor. The speed sensor is used to detect the speed of the copper wire in the transmission device. The speed sensor can be an electromagnetic speed sensor, a photoelectric speed sensor, an ultrasonic speed sensor, a laser speed sensor, etc. The sound sensor is used to detect the sound generated by the copper wire in the transmission mechanism during transmission. The sound sensor is mechanically connected to the transmission mechanism. The sound sensor can be set at the port of the transmission mechanism. The sound sensor can be a microphone sensor, an acoustic wave sensor, etc. The control device is used to supervise and control the detection process of the tinned copper wire.

[0068] For example, the control device can be a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a smart large screen, a smart TV, a handheld device with wireless communication function, a desktop computer, a handheld device with wireless communication function, a computer, a laptop computer, a handheld computing device, etc.

[0069] In order to better understand the tinned copper wire defect detection method provided in the embodiment of the present application, the specific implementation process of the tinned copper wire defect detection method provided in the embodiment of the present application is exemplarily introduced below.

[0070] Figure 1 and Figure 2 A schematic flow chart of the tinned copper wire defect detection method provided in the embodiment of the present application is shown. Figure 1 and Figure 2 , tinned copper wire defect detection methods include:

[0071] S100, obtaining copper wire sound information and sound wave transmission speed; wherein the copper wire sound information is used to reflect the sound generated by the copper wire during transmission in the detection device; and the sound wave transmission speed is used to reflect the propagation speed of the sound wave in the copper wire.

[0072] It is understandable that sound waves have different propagation speeds in different media. The sound wave transmission speed is the speed at which sound propagates in the medium of copper wire.

[0073] For example, the conveying mechanism can be detected by a sound sensor to obtain the sound information of the copper wire, and the sound information of the copper wire can also be obtained by detecting the tiny vibrations on the surface of the copper wire through the laser Doppler effect. The laser Doppler effect refers to the principle of the Doppler effect, using a laser speed sensor to measure the movement speed of the tiny vibrations on the surface of the copper wire, and then simulating the movement speed of the tiny vibrations on the surface of the copper wire to finally obtain the sound information of the copper wire. The Doppler effect refers to the phenomenon that when there is relative motion between the copper wire and the laser speed sensor, the frequency of the wave received by the laser speed sensor changes.

[0074] For example, the sound wave transmission speed can be obtained by manual input, or directly obtained through a sound propagation database. The sound propagation database refers to a database containing different propagation media and corresponding sound wave transmission speeds. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining, the collected data is sorted, classified and archived, useful information and rules are extracted, and the relevant data is saved in the database to form a sound propagation database. And so on, but not limited to this.

[0075] S200, obtaining a copper wire transmission speed; wherein the copper wire transmission speed is used to reflect a transmission speed of the copper wire in a detection device.

[0076] It can be understood that when performing defect detection on tinned copper wire, the tinned copper wire needs to enter the detection device at a preset speed and detect the tinned copper wire. The preset speed is the copper wire transmission speed. The speed sensor can be used to detect the speed of the tinned copper wire to obtain the copper wire transmission speed. The preset speed can be manually input; it can also be obtained from the speed database. The speed database refers to a database containing preset speeds corresponding to different copper wire sizes. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining, the collected data will be sorted, classified and archived, useful information and rules will be extracted, and the relevant data will be saved in the database to form a speed database. And so on, but not limited to this.

[0077] S300, analyzing the sound information of the copper wire, the sound wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size.

[0078] It can be understood that the defect position refers to the specific location of the defects (for example, scratches, depressions, cracks, etc.) that occur during the production and use of the tinned copper wire. The specific location can be represented by the axial length. The axial length refers to the length of the tinned copper wire from the end of the detection section. The detection section refers to the detection length of the detection device when detecting the tinned copper wire. The defect size refers to the width and depth of the defects (for example, scratches, depressions, cracks, etc.) that occur during the production and use of the tinned copper wire.

[0079] Exemplarily, the sound information of the copper wire can be processed to obtain the intensity change of the sound generated by the copper wire in the time domain and the distribution of the sound generated by the copper wire in the frequency domain, and then the transmission speed of the copper wire can be processed to obtain the noise generated by the air when the copper wire moves in the detection device, and then the noise generated by the air when the copper wire moves in the detection device and the intensity change of the sound generated by the copper wire in the time domain are processed to obtain the difference in the frequency of the sound generated by the copper wire passing through the zero point in the time domain for identifying the existence of defects in the tinned copper wire. When the difference is not 0, the defect position and defect size are obtained by analyzing the sound wave transmission speed, the distribution of the sound generated by the copper wire in the frequency domain, the noise generated by the air when the copper wire moves in the detection device, and the transmission speed of the copper wire.

[0080] Exemplarily, the defect position and defect size can also be obtained by training and establishing an analysis model. That is, the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed are input into the analysis model, and the analysis model then outputs the corresponding defect position and defect size. The training process of the analysis model can be performed by processing the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed, and the corresponding defect position and defect size as the training data set of the analysis model, and then the training data set of the analysis model is input into the analysis model for training and learning, and finally the analysis model is obtained.

[0081] In a possible implementation, in step S300, the defect position and defect size are obtained by analyzing the copper wire sound information, the sound wave transmission speed, and the copper wire transmission speed, including:

[0082] S310, processing the copper wire sound information to obtain a copper wire amplitude signal and a copper wire frequency signal; wherein the copper wire amplitude signal is used to reflect the intensity change of the sound generated by the copper wire in the time domain; the copper wire frequency signal is used to reflect the energy distribution of the sound generated by the copper wire in the frequency domain.

[0083] It can be understood that the time domain is composed of the time axis and the amplitude axis. The horizontal axis of the time domain represents time, and the vertical axis represents the amplitude of the sound generated by the copper wire, that is, the intensity of the sound generated by the copper wire. In the copper wire frequency signal, the horizontal axis of the frequency domain represents frequency, and the vertical axis represents the amplitude of the frequency component, that is, the energy distribution.

[0084] For example, the copper wire sound data can be feature extracted to obtain the copper wire amplitude signal from the copper wire sound information. The copper wire frequency signal can then be obtained by performing Fourier transform on the copper wire amplitude signal. Fourier transform is used to convert the sound signal from the time domain (or space domain) to the frequency domain.

[0085] S320, analyzing according to the copper wire transmission speed to obtain air flow noise information; wherein the air flow noise information is used to reflect the noise generated by the air when the copper wire moves in the detection device.

[0086] It can be understood that when the copper wire is transmitted in the transmission device, the air in the detection device will be driven, and finally the air flow noise will be generated in the detection device. The copper wire transmission speed corresponds to an air flow noise information. The air flow noise information and the copper wire transmission speed can be characterized by a noise waveform. The noise waveform refers to a graph in which the intensity of the air flow noise changes with the copper wire transmission speed. The air flow noise information can be represented by the intensity of the noise, that is, the decibel value. For example, if the copper wire transmission speed is 3m / s, 3.5m / s, 4m / s, 4.5m / s, 5m / s, the corresponding air flow noise information in the noise waveform is 3dB, 3.2dB, 3.3dB, 3.5dB, and 3.7dB respectively. When the copper wire transmission speed is 3m / s, the air flow noise information is 3dB, and so on.

[0087] Exemplarily, the air flow noise information corresponding to the copper wire transmission speed can be outputted through the sound simulation model. According to the copper wire transmission speed, a sound simulation model simulating the air flow noise information is established. That is, the copper wire transmission speed is input into the sound simulation model, and the air flow noise information generated when the detection device is operated is obtained through calculation and simulation. The simulation training process of the sound simulation model can be performed by using the data processed from the copper wire transmission speed and the corresponding air flow noise information as the simulation training data set of the sound simulation model, and then inputting the simulation training data set of the sound simulation model into the sound simulation model for simulation training learning, and finally obtaining the sound simulation model. According to the copper wire transmission speed input into the sound simulation model, the air flow noise information is obtained.

[0088] S330, analyzing the air flow noise information and the copper wire amplitude signal to obtain a zero-crossing difference; wherein the zero-crossing difference is used to reflect the difference between the zero-crossing rate of the copper wire amplitude signal and the zero-crossing rate obtained after processing the air flow noise information and the copper wire amplitude signal, and the zero-crossing rate is used to reflect the frequency of the sound generated by the copper wire crossing the zero point in the time domain.

[0089] It can be understood that the zero-crossing rate of the copper wire amplitude signal refers to the frequency of the copper wire amplitude signal crossing the zero point in the time domain. The intensity change of the noise generated by the air flow in the time domain can be obtained by processing the air flow noise information, and then the zero-crossing rate of the processed signal can be obtained by analyzing the intensity change of the noise generated by the air flow in the time domain and the signal after the copper wire amplitude signal is processed. Finally, the zero-crossing rate of the copper wire amplitude signal is compared with the zero-crossing rate of the processed signal to obtain the zero-crossing difference.

[0090] Exemplarily, a zero-crossing difference model can also be established to output a zero-crossing difference, that is, the air flow noise information and the copper wire amplitude signal are input into the zero-crossing difference model, and the zero-crossing difference is obtained by calculation and simulation. The simulation training process of the zero-crossing difference model can be performed by using the data processed by the air flow noise information, the copper wire amplitude signal and the corresponding zero-crossing difference as the simulation training data set of the zero-crossing difference model, and then inputting the simulation training data set of the zero-crossing difference model into the zero-crossing difference model for simulation training and learning, and finally obtaining the zero-crossing difference model. The zero-crossing difference is obtained according to the air flow noise information and the copper wire amplitude signal input into the zero-crossing difference model.

[0091] In a possible implementation, in step S330, the air flow noise information and the copper wire amplitude signal are analyzed to obtain the zero-crossing difference, including:

[0092] S331, processing the air flow noise information to obtain a noise amplitude signal; wherein the noise amplitude signal is used to reflect the intensity change of the noise generated by the air flow in the time domain.

[0093] It can be understood that the noise amplitude signal can be directly extracted from the air flow noise information by performing feature extraction on the noise generated by the air flow.

[0094] S332, analyzing the noise amplitude signal and the copper wire amplitude signal to obtain a zero-crossing difference.

[0095] Exemplarily, the copper wire amplitude signal can be processed to obtain the frequency reflecting the copper wire amplitude signal crossing the zero point in the time domain, and then the zero-crossing difference can be obtained based on the frequency reflecting the copper wire amplitude signal crossing the zero point in the time domain, the noise amplitude signal and the copper wire amplitude signal.

[0096] Exemplarily, the copper wire amplitude signal can be analyzed to obtain the copper wire zero-crossing time difference, and then the noise amplitude signal can be analyzed to obtain the noise zero-crossing time difference. Then, the copper wire zero-crossing time difference and the copper wire amplitude signal, and the noise zero-crossing time difference and the noise amplitude signal are analyzed separately to obtain the zero-crossing difference. The copper wire zero-crossing time difference refers to the time difference of the copper wire amplitude signal crossing from the negative semi-axis to the positive semi-axis or from the positive semi-axis to the negative semi-axis. The noise zero-crossing time difference refers to the time difference of the noise amplitude signal crossing from the negative semi-axis to the positive semi-axis or from the positive semi-axis to the negative semi-axis.

[0097] Such a setting can effectively analyze the air flow noise in the detection device, thereby extracting information about the air flow noise to provide relevant data for subsequent defect detection steps. By comparing the difference between the noise amplitude signal and the copper wire amplitude signal, the existence of defects in the tinned copper wire can be determined, thereby improving the defect detection efficiency of the tinned copper wire.

[0098] In a possible implementation, in step S332, analyzing the noise amplitude signal and the copper wire amplitude signal to obtain a zero-crossing difference includes:

[0099] S3321, process the copper wire amplitude signal to obtain a first amplitude zero-crossing rate; wherein the first amplitude zero-crossing rate is used to reflect the frequency of the copper wire amplitude signal crossing the zero point in the time domain.

[0100] Exemplarily, the copper wire amplitude signal is framed and calculated to obtain copper wire amplitude signals of multiple frames, and then the number of times the copper wire amplitude signal of each frame crosses the zero point in the time domain is calculated, and finally the number of times the copper wire amplitude signal of multiple frames crosses the zero point in the time domain is integrated to obtain the first amplitude zero-crossing rate. The first amplitude zero-crossing rate refers to the number of times the copper wire amplitude signal changes from positive to negative and from negative to positive.

[0101] S3322: Analyze the first amplitude zero-crossing rate, the noise amplitude signal, and the copper wire amplitude signal to obtain a zero-crossing difference.

[0102] Exemplarily, the copper wire amplitude signal can be subtracted from the noise amplitude signal to obtain a signal that reflects the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted. Then, the amplitude signal represented by the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted is analyzed to obtain the zero-crossing rate of the amplitude signal represented by the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted. Then, the zero-crossing difference is finally obtained by the difference between the first amplitude zero-crossing rate and the zero-crossing rate of the amplitude signal represented by the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted. Signal subtraction is scalar signal subtraction. Scalar signal subtraction refers to only simple numerical subtraction. The copper wire amplitude signal and the noise amplitude signal can be input through a differential amplifier for scalar signal subtraction to finally obtain a differential amplitude signal.

[0103] Exemplarily, the copper wire amplitude signal can be analyzed to obtain multiple times for reflecting the copper wire amplitude signal passing through zero in the time domain, and then the average calculation is performed based on the multiple times for reflecting the copper wire amplitude signal passing through zero in the time domain to obtain the average zero-crossing time of the copper wire, and then the copper wire amplitude signal and the copper wire average zero-crossing time are analyzed to obtain the frequency of the copper wire amplitude signal passing through zero in the time domain. Then, the noise amplitude signal is analyzed to obtain multiple times for reflecting the noise amplitude signal passing through zero in the time domain, and then the average calculation is performed based on the multiple times for reflecting the noise amplitude signal passing through zero in the time domain to obtain the average zero-crossing time of the noise, and then the noise amplitude signal and the noise average zero-crossing time are analyzed to obtain the frequency of the noise amplitude signal passing through zero in the time domain. The frequency of the copper wire amplitude signal passing through zero in the time domain is compared with the frequency of the noise amplitude signal passing through zero in the time domain to obtain the zero-crossing difference.

[0104] With such an arrangement, the copper wire amplitude signal can be monitored in real time. By using the first amplitude zero-crossing rate, the noise amplitude signal and the copper wire amplitude signal for processing, the change of tinned copper wire defects can be monitored in real time, thereby improving the stability and reliability of the tinned copper wire detection method.

[0105] In a possible implementation, in step S3322, analyzing the first amplitude zero-crossing rate, the noise amplitude signal, and the copper wire amplitude signal to obtain a zero-crossing difference includes:

[0106] S33221, subtract the copper wire amplitude signal from the noise amplitude signal to obtain a differential amplitude signal; wherein the differential amplitude signal is used to reflect the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted.

[0107] For example, the differential amplitude signal can be obtained by subtracting the copper wire amplitude signal from the noise amplitude signal point by point. Point by point subtraction is signal subtraction, which means subtracting the intensity data corresponding to the copper wire amplitude signal and the noise amplitude signal in each time frame. The copper wire amplitude signal and the noise amplitude signal can also be input through a differential amplifier to perform scalar signal subtraction to finally obtain a differential amplitude signal.

[0108] S33222, process the differential amplitude signal to obtain a second amplitude zero-crossing rate; wherein the second amplitude zero-crossing rate is used to reflect the frequency of the differential amplitude signal crossing the zero point in the time domain.

[0109] Exemplarily, the differential amplitude signal is divided into frames for calculation to obtain differential amplitude signals of multiple frames, and then the number of times the differential amplitude signal of each frame crosses the zero point in the time domain is calculated. Finally, the second amplitude zero-crossing rate is obtained by integrating the number of times the differential amplitude signals of multiple frames cross the zero point in the time domain.

[0110] S33223, compare the first amplitude zero-crossing rate with the second amplitude zero-crossing rate to obtain a zero-crossing difference.

[0111] It can be understood that the zero-crossing difference is the first amplitude zero-crossing rate minus the second amplitude zero-crossing rate. The zero-crossing difference can reflect whether there are defects in the tinned copper wire. The first amplitude zero-crossing rate is obtained by the sound generated when the copper wire is transported in the conveying mechanism. The second amplitude zero-crossing rate is obtained by subtracting the signal scalar from the sound generated when the copper wire is transported in the conveying mechanism and the noise generated by the air flow in the detection device. It can be understood that when there are defects in the tinned copper wire, there will be a difference between the first amplitude zero-crossing rate and the second amplitude zero-crossing rate, resulting in the zero-crossing difference not being 0, and when there are no defects in the tinned copper wire, there will be no difference between the first amplitude zero-crossing rate and the second amplitude zero-crossing rate, and finally the zero-crossing difference is 0. When the tinned copper wire surface has defects and is transmitted in the transmission device, the copper wire sound information generated is different from that when the tinned copper wire surface has no defects and is transmitted in the transmission device.

[0112] This arrangement can more accurately analyze the intensity change relationship between the noise amplitude signal and the copper wire amplitude signal. By analyzing the zero-crossing difference, the data complexity can be reduced, the data processing process can be accelerated, and the defect detection speed of the tinned copper wire can be accelerated.

[0113] S340, when the zero-crossing difference is not 0, based on the acoustic wave transmission speed, the copper wire frequency signal, the air flow noise information and the copper wire transmission speed are analyzed to obtain the defect position and defect size.

[0114] It can be understood that when the zero-crossing difference is 0, it means that there is no defect in the tinned copper wire, so the defect detection of the next section of the tinned copper wire can be carried out. The subsequent steps can be judged by the zero judgment of the zero-crossing difference, so as to optimize the defect detection steps of the tinned copper wire. Zero judgment refers to judging whether the data is 0.

[0115] And / or, when the zero-crossing difference is not 0, it indicates that the tinned copper wire has defects, and the next detection step is performed. The air flow noise information can be processed to obtain the distribution of the noise generated by the air in the frequency domain when the copper wire moves in the detection device, and then the copper wire frequency signal and the frequency signal representing the distribution of the noise generated by the air in the frequency domain when the copper wire moves in the detection device are subtracted to obtain a frequency signal that reflects the distribution of the copper wire frequency signal and the noise frequency signal in the frequency domain after the signal is subtracted. Finally, the frequency signal representing the distribution of the copper wire frequency signal and the noise frequency signal in the frequency domain after the signal is subtracted, the copper wire transmission speed and the sound wave transmission speed are analyzed to obtain the defect position and defect size.

[0116] With such a configuration, in the entire detection method, the existence of defects in the tinned copper wire is first determined by zero-crossing difference, which can help improve the detection efficiency of the detection method. When a large number of tinned copper wires need to be detected for defects, and there are non-defective parts on the tinned copper wires, zero-crossing difference is used first to determine the existence of defects in the tinned copper wires, which can eliminate a large number of useless detection steps and speed up the defect detection efficiency of the tinned copper wires.

[0117] In a possible implementation, in step S340, based on the acoustic wave transmission speed, the defect position and defect size are obtained by analyzing the copper wire frequency signal, air flow noise information and the copper wire transmission speed, including:

[0118] S341, processing the air flow noise information to obtain a noise frequency signal; wherein the noise frequency signal is used to reflect the distribution of the noise generated by the air in the frequency domain when the copper wire moves in the detection device.

[0119] Exemplarily, the air flow noise information can be first processed by data, and then converted into a noise frequency signal by using a short-time Fourier transform (STFT). Data processing refers to denoising the air flow noise information through a filter to remove abnormal noise (for example, abnormal noise may be caused by simulation errors of the sound simulation model, input errors of the copper wire transmission speed data, or other abnormal conditions), thereby ensuring the accuracy and availability of the air flow noise. Input errors of the copper wire transmission speed data may come from errors in sensors or measuring equipment, interference in data transmission, environmental factors, and the like. Short-time Fourier transform (STFT) refers to obtaining the time and frequency characteristics of the air flow noise information by segmenting the air flow noise information, and then dividing the air flow noise information into multiple short and relatively independent time segments, and then performing Fourier transform on each segment to obtain a noise frequency signal. Fourier transform refers to converting the air flow noise information from the time domain to the frequency domain.

[0120] S342, subtract the copper wire frequency signal from the noise frequency signal to obtain a differential frequency signal; wherein the differential frequency signal is used to reflect the distribution of the copper wire frequency signal in the frequency domain after the copper wire frequency signal and the noise frequency signal are subtracted.

[0121] For example, the differential frequency signal can be obtained by subtracting the copper wire frequency signal from the noise frequency signal point by point, or by subtracting the scalar signal between the copper wire frequency signal and the noise frequency signal through a differential amplifier input, and finally obtaining the differential frequency signal.

[0122] S343, analyzing the differential frequency signal, the copper wire transmission speed, and the sound wave transmission speed to obtain the defect position and defect size.

[0123] Exemplarily, the differential frequency signal can be processed to obtain a graph reflecting the differential frequency signal in the frequency domain, and then the defect position and defect size can be obtained by analyzing the graph reflecting the differential frequency signal in the frequency domain with the copper wire transmission speed and the sound wave transmission speed.

[0124] Exemplarily, the defect position and defect size can also be directly obtained by establishing a defect detection model, that is, the differential frequency signal, copper wire transmission speed and sound wave transmission speed are input into the defect detection model, and the defect position and defect size are obtained through calculation and simulation. The simulation training process of the defect detection model can be performed by processing the differential frequency signal, copper wire transmission speed, sound wave transmission speed and the corresponding defect position and defect size as the simulation training data set of the defect detection model, and then the simulation training data set of the defect detection model is input into the defect detection model for simulation training and learning, and finally the defect detection model is obtained. According to the differential frequency signal, copper wire transmission speed and sound wave transmission speed input into the defect detection model, the defect position and defect size are obtained.

[0125] With such a setting, by processing the air flow noise information, the corresponding noise frequency signal can be extracted, which can reflect the noise characteristics generated by the copper wire in the conveying mechanism due to air disturbance. By accurately identifying the noise frequency signal, a data basis can be provided for subsequent detection steps. Subtracting the copper wire frequency signal from the noise frequency signal can effectively reduce the interference of external noise on the signal, retain the effective components of the signal, help extract potential defect information inside the copper wire, improve the accuracy of defect detection, and significantly reduce the probability of misjudgment and missed detection of defects, making the defect detection results more reliable.

[0126] In a possible implementation, in step S343, the defect position and defect size are obtained by analyzing the differential frequency signal, the copper wire transmission speed, and the sound wave transmission speed, including:

[0127] S3431, perform fast Fourier transform on the differential frequency signal and draw a spectrum diagram; wherein the spectrum diagram is used to reflect the graph of the differential frequency signal in the frequency domain.

[0128] It can be understood that a spectrogram refers to a graph that can show the amplitude of a sound signal at different frequencies. The horizontal axis in the spectrogram represents frequency, and the vertical axis represents amplitude. Amplitude refers to the energy of the differential frequency signal in the frequency domain. The frequency and corresponding amplitude value in the differential frequency signal can be extracted by performing a fast Fourier transform on the differential frequency signal. Fast Fourier transform (FFT) refers to an efficient algorithm for calculating discrete Fourier transform (DFT). Discrete Fourier transform (DFT) refers to the conversion of discrete signals from the time domain to the frequency domain in signal processing and digital signal analysis.

[0129] S3432, based on the spectrum diagram, copper wire transmission speed and sound wave transmission speed, the defect location and defect size are obtained.

[0130] It can be understood that the energy distribution different from the preset energy distribution can be obtained by analyzing the spectrum diagram, and then the energy distribution different from the preset energy distribution can be extracted to obtain the frequency range occupied by the energy distribution different from the preset energy distribution in the frequency domain and the duration of each time frame corresponding to the energy distribution different from the preset energy distribution. According to the duration of each time frame corresponding to the energy distribution different from the preset energy distribution, the defect position can be obtained. Then, according to the duration of each time frame corresponding to the energy distribution different from the preset energy distribution and the frequency range occupied in the frequency domain corresponding to the energy distribution different from the preset energy distribution, the width of the defect size and the depth of the defect size can be obtained. The preset energy distribution refers to a preset energy distribution, which can be manually input by humans. The preset energy distribution can also be directly obtained through the energy distribution database. The energy distribution database refers to a database containing the energy distribution of the sound generated by the copper wire under different copper wire transmission speed conditions. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and previous experience. After obtaining, the collected data is sorted, classified and archived, useful information and rules are extracted, and the relevant data is saved in the database to form an energy distribution database.

[0131] Exemplarily, the defect position and defect size can also be directly obtained by establishing a defect model, that is, the frequency spectrum, copper wire transmission speed and sound wave transmission speed are input into the defect model, and the defect position and defect size are obtained through calculation and simulation. The simulation training process of the defect model can be performed by processing the frequency spectrum, copper wire transmission speed and sound wave transmission speed, and the corresponding defect position and defect size as the simulation training data set of the defect model, and then the simulation training data set of the defect model is input into the defect model for simulation training learning, and finally the defect model is obtained. The defect position and defect size are obtained according to the frequency spectrum, copper wire transmission speed and sound wave transmission speed input into the defect model.

[0132] With this setting, by performing fast Fourier transform on the differential frequency signal and analyzing the spectrum diagram, the accuracy and efficiency of tinned copper wire defect detection can be effectively improved, the defect position can be accurately located and the defect size can be determined, and the timeliness and reliability of defect detection can be significantly improved.

[0133] In a possible implementation, in step S3432, the defect position and defect size are obtained by analyzing the spectrum diagram, the acoustic wave transmission speed, and the copper wire transmission speed, including:

[0134] S34321, analyze and extract the spectrum graph to obtain the frequency bandwidth and time width of the abnormal energy distribution; wherein the frequency bandwidth is used to reflect the frequency range occupied by the abnormal energy distribution in the spectrum graph in the frequency domain; the time width is used to reflect the duration of the abnormal energy distribution in the spectrum graph.

[0135] It can be understood that the sound signal is composed of multiple waves of different frequencies, and waves of different frequencies have different sound wave intensities. The spectrum diagram can clearly show the frequencies and relative intensities of multiple waves of different frequencies. Abnormal energy distribution refers to energy peaks or valleys that are different from the preset energy distribution. The spectrum diagram can be compared and analyzed with the preset energy distribution diagram to obtain the abnormal energy distribution, and then the abnormal energy distribution and the spectrum diagram can be analyzed to obtain the frequency bandwidth of the abnormal energy distribution and the time width of the abnormal energy distribution.

[0136] S34322, analyze based on the time width to obtain the defect location.

[0137] It can be understood that when the copper wire is transported by the conveying mechanism, the time width of the abnormal energy distribution in the sound generated by the copper wire will change due to the different defect positions of the copper wire. The defect position corresponding to the tinned copper wire can be obtained by matching the time width with the preset time width set. The preset time width set refers to a set of pre-set time widths. The preset time width set contains multiple time widths, each time width corresponds to a defect position. The preset time width can be manually input manually, and the preset time width can be directly obtained from the time width database. The time width database refers to a database containing the time width corresponding to the energy distribution of the sound generated by the copper wire under different copper wire transmission speed conditions. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and previous experience. After obtaining, the collected data will be sorted, classified and archived, useful information and rules will be extracted, and the relevant data will be saved in the database to form a time width database.

[0138] For example, if the preset time width set is 0.2s, 0.5s, 0.75s, and 1s, the defect position corresponding to the time width in the preset time width set is 0.2s, the defect position corresponding to 0.5cm, 0.5s, the defect position corresponding to 1cm, 0.75s, the defect position corresponding to 1.3cm, and 1s, the defect position corresponding to 1.5cm. If the time width is 0.75s, the defect position is 1.3cm, the time width is 0.2s, and the defect position is 0.5cm. And so on.

[0139] S34323, analyzing and processing are performed based on the time width and the copper wire transmission speed to obtain the width of the defect size.

[0140] It can be understood that the duration of abnormal energy distribution in time is multiplied by the copper wire transmission speed to obtain the width of the defect size. The width refers to the length of the defect along the copper wire direction.

[0141] For example, if the time width is 0.2s and the copper wire transmission speed is 0.3m / s, the width of the defect size is 6cm. If the time width is 0.75s and the copper wire transmission speed is 0.4m / s, the width of the defect size is 3cm, and so on.

[0142] S34324, analyze and process based on the frequency bandwidth and sound wave transmission speed to obtain the depth of the defect size.

[0143] For example, the frequency bandwidth and the acoustic wave transmission speed can be processed to obtain the difference between the thickness of the defective part of the copper wire and the thickness of the normal part. Then, the depth of the defect size can be obtained by analyzing the thickness difference. The depth refers to the depth of the defect on the copper wire.

[0144] Exemplarily, the depth of the defect size can also be directly obtained by establishing a depth detection model, that is, inputting the frequency bandwidth and the sound wave transmission speed into the depth detection model, and obtaining the defect position and defect size through calculation and simulation. The simulation training process of the depth detection model can be performed by processing the frequency bandwidth, the sound wave transmission speed and the corresponding depth of the defect size as the simulation training data set of the depth detection model, and then inputting the simulation training data set of the depth detection model into the depth detection model for simulation training and learning, and finally obtaining the depth detection model. According to the frequency bandwidth and the sound wave transmission speed input into the depth detection model, the depth of the defect size is obtained.

[0145] With this setting, the defect location of the tinned copper wire can be more intuitively understood through the spectrum analysis, and potential defect problems can be more easily located. In addition, the analysis of the spectrum, the sound wave transmission speed, and the copper wire transmission speed can greatly improve the accuracy and reliability of defect detection of the tinned copper wire. Defects on the tinned copper wire can be efficiently and accurately identified and located, and a deeper understanding of the defects can be provided through multi-parameter analysis. This will significantly enhance the health monitoring capabilities of the detection device, reduce the risk of failure, and improve safety and economic benefits.

[0146] In a possible implementation, in step S34324, the depth of the defect size is obtained by analyzing and processing the frequency bandwidth and the acoustic wave transmission speed, including:

[0147] S343241, processing is performed according to the frequency bandwidth and the sound wave transmission speed to obtain the thickness difference; wherein the thickness difference is used to reflect the difference between the thickness of the defective part of the copper wire and the thickness of the normal part.

[0148] For example, the frequency bandwidth of the abnormal energy distribution can be compared with the frequency bandwidth of the preset energy distribution to obtain the frequency bandwidth difference, and then the data obtained by multiplying the frequency bandwidth difference by the sound wave transmission speed and the square of the center frequency bandwidth are used for ratio calculation to finally obtain the thickness difference. The formula for the thickness difference can be D=[c×(f1-f2)÷(f c ) 2 ], where D is the thickness difference, f1 is the frequency bandwidth of the abnormal energy distribution, f2 is the frequency bandwidth of the preset energy distribution, and f c Refers to the center frequency bandwidth. The frequency bandwidth difference is the difference between the frequency bandwidth of the abnormal energy distribution and the frequency bandwidth of the preset energy distribution. The center frequency bandwidth refers to the middle value of the frequency bandwidth in the spectrum. For example, if the frequency bandwidth range in the spectrum is 100Hz to 2100Hz, the center frequency bandwidth is 1100[(100Hz+2100Hz)÷2]Hz, and so on.

[0149] For example, if the frequency bandwidth of the abnormal energy distribution f1 is 200 Hz, the frequency bandwidth of the preset energy distribution is 100 Hz, the sound propagation speed is 10 m / s, and the center frequency bandwidth is 100 Hz, then the thickness difference is 0.1 [10 m / s × (200 Hz-100 Hz) ÷ (100 Hz × 100 Hz)] cm, and so on.

[0150] S343242, analyze based on the thickness difference and obtain the depth of the defect size.

[0151] It can be understood that due to the sound generated by the copper wire during transmission, the energy distribution shown by the defective part of the copper wire and the normal part of the copper wire in the spectrum diagram is different. By analyzing the thickness difference of the copper wire, the thickness difference of the copper wire can be determined as the depth of the defect size.

[0152] For example, if the thickness difference is 0.1 mm, the depth of the defect size is 0.1 mm. If the thickness difference is 2 mm, the depth of the defect size is 2 mm. And so on.

[0153] Such a setting effectively provides the relationship between the defect depth and thickness difference of the tinned copper wire by analyzing the relationship between the frequency bandwidth and the sound wave propagation speed, which significantly improves the accuracy and efficiency of tinned copper wire defect detection and improves the technical effect of the safety of the detection device.

[0154] S400, analyzing the defect position and defect size to obtain a defect detection result.

[0155] It can be understood that by analyzing the location and size of the defects, the defects can be accurately quantitatively analyzed, and the impact of the defects on the material or structure can be comprehensively evaluated, thereby obtaining accurate defect detection results.

[0156] For example, if the defect position is 10 cm and the defect size is (3 cm, 1 mm), the defect detection result is: "There is a defect at the defect position 10 cm from the end of the tinned copper wire distance detection section, and the defect size of the tinned copper wire is (3 cm, 1 mm)". If the defect position is 13 cm and the defect size is (3 cm, 1 mm), the defect detection result is: "There is a defect at the defect position 13 cm from the end of the tinned copper wire distance detection section, and the defect size of the tinned copper wire is (3 cm, 1 mm)". And so on.

[0157] With such a setting, when defect detection is performed on tinned copper wires of different sizes, the sound generated by the copper wire during transmission and the transmission speed of the copper wire are analyzed, so that relevant data on the defect positions and defect sizes of the tinned copper wires of different sizes can be obtained, without the need to adjust the detection parameters according to the different sizes of the tinned copper wire. The complexity of the defect detection steps of the tinned copper wire can be reduced, thereby effectively improving the defect detection speed and defect detection efficiency of the tinned copper wire.

[0158] 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.

[0159] Corresponding to the tinned copper wire defect detection method described in the above embodiment, the embodiment of the present application also provides a tinned copper wire defect detection system, and each module of the tinned copper wire defect detection system can implement each step of the tinned copper wire defect detection method. Figure 3 A structural block diagram of a tinned copper wire defect detection system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0160] Reference Figure 3 , tinned copper wire defect detection system includes:

[0161] The first acquisition module is used to obtain the copper wire sound information and the sound wave transmission speed; wherein the copper wire sound information is used to reflect the sound generated by the copper wire during transmission in the detection device; the sound wave transmission speed is used to reflect the propagation speed of the sound wave in the copper wire.

[0162] The second acquisition module is used to acquire the copper wire transmission speed; wherein the copper wire transmission speed is used to reflect the transmission speed of the copper wire in the detection device.

[0163] The first analysis module is used to analyze the sound information of the copper wire, the sound wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size.

[0164] The second analysis module is used to analyze the defect location and defect size to obtain the defect detection result.

[0165] It should be noted that the information interaction, execution process, etc. between the modules / units of the above-mentioned tinned copper wire defect detection system are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0166] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the tinned copper wire defect detection system is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0167] The embodiment of the present application also provides a tinned copper wire defect detection device, including a detection device and a control device, and the detection device is electrically connected to the control device. Figure 4 This is a schematic diagram of the structure of a control device 4 provided in an embodiment of the present application. Figure 4 As shown, the control device 4 of this embodiment includes: at least one processor 40 ( Figure 4 Only one is shown), at least one memory 41 ( Figure 4 Only one is shown in the figure) and a computer program 42 stored in the at least one memory 41 and executable on the at least one processor 40. When the processor 40 executes the computer program 42, the control device 4 implements the steps in any of the above-mentioned tinned copper wire defect detection method embodiments, or the control device 4 implements the functions of each module / unit in the above-mentioned system embodiments.

[0168] Exemplarily, the computer program 42 may be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 42 in the control device 4.

[0169] The control device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The control device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of the control device 4 and does not constitute a limitation on the control 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, buses, etc.

[0170] The processor 40 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 components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0171] In some embodiments, the memory 41 may be an internal storage unit of the control device 4, such as a hard disk or memory of the control device 4. In other embodiments, the memory 41 may also be an external storage device of the control device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the control device 4. The memory 41 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0172] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0173] An embodiment of the present application provides a computer program product. When the computer program product is run on a tinned copper wire defect detection device, the tinned copper wire defect detection device implements the steps in any of the above-mentioned method embodiments.

[0174] If the 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. According to this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which 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, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the tinned copper wire defect detection device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, RandomAccess Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0175] 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.

[0176] 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.

[0177] In the embodiments provided in the present application, it should be understood that the disclosed tinned copper wire defect detection system and equipment can be implemented in other ways. For example, the tinned copper wire defect detection system embodiment described above is only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0178] The units described 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.

[0179] The embodiments described above 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 aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such 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 method for detecting defects in tinned copper wire, characterized in that: include: Acquire the copper wire sound information and the sound wave transmission speed; wherein the copper wire sound information is used to reflect the sound generated by the copper wire during transmission in the detection device; and the sound wave transmission speed is used to reflect the propagation speed of the sound wave in the copper wire; Acquire the copper wire transmission speed; wherein the copper wire transmission speed is used to reflect the transmission speed of the copper wire in the detection device; Analyze the sound information of the copper wire, the sound wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size; An analysis is performed based on the defect position and the defect size to obtain a defect detection result.

2. The tinned copper wire defect detection method according to claim 1, characterized in that: The analyzing according to the copper wire sound information, the sound wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size includes: The copper wire sound information is processed to obtain a copper wire amplitude signal and a copper wire frequency signal; wherein the copper wire amplitude signal is used to reflect the intensity change of the sound generated by the copper wire in the time domain; and the copper wire frequency signal is used to reflect the energy distribution of the sound generated by the copper wire in the frequency domain; Analyze the transmission speed of the copper wire to obtain air flow noise information; wherein the air flow noise information is used to reflect the noise generated by the air when the copper wire moves in the detection device; The air flow noise information and the copper wire amplitude signal are analyzed to obtain a zero-crossing difference; wherein the zero-crossing difference is used to reflect the difference between the zero-crossing rate of the copper wire amplitude signal and the zero-crossing rate obtained after processing the air flow noise information and the copper wire amplitude signal, and the zero-crossing rate is used to reflect the frequency of the sound generated by the copper wire passing through the zero point in the time domain; When the zero-crossing difference is not 0, based on the sound wave transmission speed, the copper wire frequency signal, the air flow noise information and the copper wire transmission speed are analyzed to obtain the defect position and defect size.

3. The tinned copper wire defect detection method according to claim 2, characterized in that: The step of analyzing the air flow noise information and the copper wire amplitude signal to obtain a zero-crossing difference includes: Processing the air flow noise information to obtain a noise amplitude signal; wherein the noise amplitude signal is used to reflect the intensity change of the noise generated by the air flow in the time domain; The noise amplitude signal and the copper wire amplitude signal are analyzed to obtain a zero-crossing difference.

4. The tinned copper wire defect detection method according to claim 3, characterized in that: The step of analyzing the noise amplitude signal and the copper wire amplitude signal to obtain a zero-crossing difference comprises: Processing the copper wire amplitude signal to obtain a first amplitude zero-crossing rate; wherein the first amplitude zero-crossing rate is used to reflect the frequency of the copper wire amplitude signal crossing the zero point in the time domain; The zero-crossing difference is obtained by analyzing the first amplitude zero-crossing rate, the noise amplitude signal and the copper wire amplitude signal.

5. The tinned copper wire defect detection method according to claim 4, characterized in that: The step of analyzing the first amplitude zero-crossing rate, the noise amplitude signal, and the copper wire amplitude signal to obtain a zero-crossing difference includes: Subtract the copper wire amplitude signal from the noise amplitude signal to obtain a differential amplitude signal; wherein the differential amplitude signal is used to reflect the intensity change in the time domain after the copper wire amplitude signal and the noise amplitude signal are subtracted; Processing the differential amplitude signal to obtain a second amplitude zero-crossing rate; wherein the second amplitude zero-crossing rate is used to reflect the frequency of the differential amplitude signal crossing the zero point in the time domain; The zero-crossing difference is obtained by comparing the first amplitude zero-crossing rate with the second amplitude zero-crossing rate.

6. The tinned copper wire defect detection method according to claim 2, characterized in that: The method based on the sound wave transmission speed, analyzing the copper wire frequency signal, the air flow noise information and the copper wire transmission speed to obtain the defect position and defect size includes: Processing the air flow noise information to obtain a noise frequency signal; wherein the noise frequency signal is used to reflect the distribution of the noise generated by the air in the frequency domain when the copper wire moves in the detection device; Subtract the copper wire frequency signal from the noise frequency signal to obtain a differential frequency signal; wherein the differential frequency signal is used to reflect the distribution of the copper wire frequency signal and the noise frequency signal in the frequency domain after the signal is subtracted; The defect position and defect size are obtained by analyzing the differential frequency signal, the copper wire transmission speed and the sound wave transmission speed.

7. The tinned copper wire defect detection method according to claim 6, characterized in that: The step of analyzing the differential frequency signal, the copper wire transmission speed, and the acoustic wave transmission speed to obtain the defect position and defect size includes: Performing a fast Fourier transform on the differential frequency signal to draw a spectrum diagram; wherein the spectrum diagram is used to reflect the image of the differential frequency signal in the frequency domain; The defect position and defect size are obtained by analyzing the frequency spectrum, the copper wire transmission speed and the sound wave transmission speed.

8. The tinned copper wire defect detection method according to claim 7, characterized in that: The analyzing according to the spectrum diagram, the acoustic wave transmission speed and the copper wire transmission speed to obtain the defect position and defect size includes: Analyze and extract the spectrum to obtain the frequency bandwidth and time width of the abnormal energy distribution; wherein the frequency bandwidth is used to reflect the frequency range occupied by the abnormal energy distribution in the spectrum in the frequency domain; the time width is used to reflect the duration of the abnormal energy distribution in the spectrum; Analyze according to the time width to obtain the defect position; Analyze and process the time width and the copper wire transmission speed to obtain the width of the defect size; The depth of the defect size is obtained by analyzing and processing the frequency bandwidth and the sound wave transmission speed.

9. The tinned copper wire defect detection method according to claim 8, characterized in that: The analyzing and processing according to the frequency bandwidth and the acoustic wave transmission speed to obtain the depth of the defect size includes: Processing is performed according to the frequency bandwidth and the acoustic wave transmission speed to obtain a thickness difference; wherein the thickness difference is used to reflect the difference between the thickness of the defective part of the copper wire and the thickness of the normal part; The depth of the defect size is obtained by analyzing the thickness difference.

10. A tinned copper wire defect detection device, characterized in that: The invention comprises a detection device and a control device, wherein the detection device is electrically connected to the control device, the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method according to any one of claims 1 to 9 when executing the computer program.

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