Fault diagnosis equipment, method and device

Abstract

This application discloses a fault diagnosis device, method, and apparatus. The fault diagnosis device includes: a stethoscope for acquiring target audio; an ID detection module connected to the stethoscope for determining the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the audio frequency and the audio ID type; an audio adaptive switching circuit connected to the ID detection module for receiving the ID type of the target audio transmitted by the ID detection module and determining the signal sampling circuit corresponding to the ID type; a signal sampling circuit connected to the audio adaptive switching circuit for sampling the target audio using sampling parameters corresponding to the ID type of the target audio to obtain sampled data; and an audio algorithm processing module connected to the signal sampling circuit for receiving the sampled data transmitted by the signal sampling circuit and identifying the sampled data using a pre-set algorithm library matching the ID type to determine the fault of the target device.

Description

Technical Field

[0001] This application belongs to the field of fault diagnosis, and specifically relates to a fault diagnosis device, method and apparatus. Background Technology

[0002] In related technologies, audio-based monitoring methods are typically used to identify industrial equipment faults through audio detection. Specifically, these methods usually involve deploying multiple Internet Protocol (IP) microphones as needed, connecting them to a microphone gateway. The gateway performs audio preprocessing and assigns identification (ID) signals, which are then transferred to a dedicated server via a switch for audio recognition algorithm processing and alarm generation. However, audio monitoring systems are only used as supplementary monitoring when video monitoring is limited. They only support detection within the range of human hearing and cannot effectively identify common industrial equipment faults outside this frequency range (such as transformer partial discharge), resulting in poor usability. Summary of the Invention

[0003] This application provides a fault diagnosis device, method, and apparatus that can solve the problem in related technologies that it is impossible to identify faults in all devices that generate audio in various frequency bands.

[0004] In a first aspect, embodiments of this application provide a fault diagnosis device, comprising: a stethoscope for acquiring target audio, wherein the target audio is one of an audio frequency corresponding to the human hearing threshold band, an audio frequency corresponding to an ultrasound band, and an audio frequency corresponding to a low-frequency band, wherein the low-frequency band is a frequency band other than the human hearing threshold band and the ultrasound band; an ID detection module connected to the stethoscope, for determining the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the frequency of the audio and the ID type of the audio, wherein the ID type of the audio corresponding to the human hearing threshold band is an ultrasound broadband type, the ID type of the audio corresponding to the ultrasound band is an acoustic emission type, and the ID type of the audio corresponding to the low-frequency band is a bone conduction type; and an audio adaptive switching circuit, connected to the stethoscope. The system is connected to the ID detection module and is used to receive the ID type of the target audio transmitted by the ID detection module and determine the signal sampling circuit corresponding to the ID type. The signal sampling circuit is connected to the audio adaptive switching circuit and is used to sample the target audio using sampling parameters corresponding to the ID type of the target audio to obtain sampling data. The sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters, and filtering frequency band. The audio algorithm processing module is connected to the signal sampling circuit and is used to receive the sampling data transmitted by the signal sampling circuit and identify the sampling data using a preset algorithm library that matches the ID type to determine the fault of the target device. The target device is the device that generates the target audio.

[0005] Secondly, embodiments of this application provide a fault diagnosis method, the method comprising: acquiring a target audio, wherein the target audio is one of an audio corresponding to the human hearing threshold frequency band, an audio corresponding to an ultrasonic frequency band, and an audio corresponding to a low-frequency band, wherein the low-frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasonic frequency band; determining the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the frequency of the audio and the audio identifier ID type, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is an ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is an acoustic emission type, and the ID type of the audio corresponding to the low-frequency band is a bone conduction type; and determining a fault of a target device based on the ID type of the target audio, wherein the target device is the device that generates the target audio.

[0006] Thirdly, embodiments of this application provide a fault diagnosis device, which includes: a acquisition module for acquiring target audio, wherein the target audio is one of audio corresponding to the human hearing threshold frequency band, audio corresponding to the ultrasound frequency band, and audio corresponding to the low frequency band, wherein the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band; a first determination module for determining the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the frequency of the audio and the ID type of the audio identifier, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is an ultrasound broadband type, the ID type of the audio corresponding to the ultrasound frequency band is an acoustic emission type, and the ID type of the audio corresponding to the low frequency band is a bone conduction type; and a second determination module for determining a fault of a target device based on the ID type of the target audio, wherein the target device is the device that generates the target audio.

[0007] In this embodiment, a stethoscope is used to collect target audio, wherein the target audio is one of the following: audio corresponding to the human hearing threshold frequency band, audio corresponding to the ultrasound frequency band, and audio corresponding to the low-frequency band. The low-frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band. An ID detection module, connected to the stethoscope, is used to determine the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the audio frequency and the audio ID type. The ID type of the audio corresponding to the human hearing threshold frequency band is an ultrasound broadband type, the ID type of the audio corresponding to the ultrasound frequency band is a acoustic emission type, and the ID type of the audio corresponding to the low-frequency band is a bone conduction type. An audio adaptive switching circuit, connected to the ID detection module, is used to receive the ID type of the target audio transmitted by the ID detection module and determine the ID type of the target audio. The signal sampling circuit corresponding to type D; the signal sampling circuit, connected to the audio adaptive switching circuit, is used to sample the target audio using sampling parameters corresponding to the ID type of the target audio to obtain sampling data, wherein the sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters, and filtering frequency band; the audio algorithm processing module, connected to the signal sampling circuit, is used to receive the sampling data transmitted by the signal sampling circuit, and to identify the sampling data using a preset algorithm library matching the ID type to determine the fault of the target device, wherein the target device is the device that generates the target audio, thereby enabling the identification of faults in all devices that generate audio in various frequency bands, thus solving the problem in related technologies that it is impossible to identify faults in all devices that generate audio in various frequency bands. Attached Figure Description

[0008] Figure 1 This is a schematic diagram of the structure of a fault diagnosis device provided in an embodiment of this application;

[0009] Figure 2 This is a schematic diagram of the structure of a selection circuit for a signal sampling circuit provided in an embodiment of this application;

[0010] Figure 3 This is a schematic diagram of the structure of a stethoscope provided in an embodiment of this application;

[0011] Figure 4 This is a schematic diagram of an amplifier circuit provided in an embodiment of this application;

[0012] Figure 5 This is a schematic diagram of a single-ended to differential circuit provided in an embodiment of this application;

[0013] Figure 6 This is a schematic diagram of another fault diagnosis device provided in an embodiment of this application;

[0014] Figure 7 This is a schematic diagram of the structure of an audio interface protection circuit provided in an embodiment of this application;

[0015] Figure 8 This is a schematic diagram of a signal sampling circuit provided in an embodiment of this application;

[0016] Figure 9 This is a schematic diagram of the structure of an adaptive analog switch provided in an embodiment of this application;

[0017] Figure 10 This is a schematic diagram of the structure of an audio codec module provided in an embodiment of this application;

[0018] Figure 11 This is a schematic diagram of a differential-to-single-ended converter provided in an embodiment of this application;

[0019] Figure 12 This is a schematic diagram of the structure of an ID detection module provided in an embodiment of this application;

[0020] Figure 13 This is a schematic diagram of the structure of an ID resistance circuit provided in an embodiment of this application;

[0021] Figure 14 This is a schematic diagram of an interface voltage divider circuit provided in an embodiment of this application;

[0022] Figure 15 This is a schematic diagram of the structure of an ADC interface circuit provided in an embodiment of this application;

[0023] Figure 16 This is a schematic diagram of the structure of a high-speed ADC module circuit provided in an embodiment of this application;

[0024] Figure 17 This is a schematic flowchart of a fault diagnosis method provided in an embodiment of this application;

[0025] Figure 18 This is a schematic diagram of the structure of another fault diagnosis device provided in the embodiments of this application;

[0026] Figure 19 This is a schematic diagram of the fault diagnosis device in an embodiment of this application;

[0027] Figure 20 This is a schematic diagram of the structure of an electronic device according to another embodiment of this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0030] Specifically, in related technologies, to identify industrial equipment faults through audio, audio-based monitoring methods are typically used to determine the faults. This usually involves deploying multiple IP microphones as needed and connecting them to a microphone gateway. The gateway performs audio preprocessing and ID assignment, and then a switch transfers the audio signal to a dedicated server for audio recognition algorithm processing and alarm generation. However, audio monitoring systems are only used as auxiliary monitoring when video monitoring is limited. They only support detection within the range of human hearing and cannot effectively identify common industrial equipment faults outside this frequency range (such as transformer partial discharge), resulting in poor usability.

[0031] To address this, this application utilizes a stethoscope to acquire target audio, wherein the target audio is one of the following: audio corresponding to the human hearing threshold frequency band, audio corresponding to the ultrasound frequency band, and audio corresponding to the low-frequency band. The low-frequency band refers to a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band. An ID detection module, connected to the stethoscope, is used to determine the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between the audio frequency and the audio ID type. Specifically, the ID type for the audio corresponding to the human hearing threshold frequency band is ultrasound broadband type, the ID type for the audio corresponding to the ultrasound frequency band is acoustic emission type, and the ID type for the audio corresponding to the low-frequency band is bone conduction type. An audio adaptive switching circuit, connected to the ID detection module, is used to receive the ID type of the target audio transmitted by the ID detection module and determine the ID. A signal sampling circuit corresponding to the target audio type is provided. This signal sampling circuit, connected to the audio adaptive switching circuit, is used to sample the target audio using sampling parameters corresponding to the target audio's ID type to obtain sampled data. The sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters, and filtering frequency band. An audio algorithm processing module, connected to the signal sampling circuit, is used to receive the sampled data transmitted by the signal sampling circuit and identify the sampled data using a preset algorithm library matching the ID type to determine the fault of the target device. The target device is the device that generates the target audio. This allows for the identification of faults in all devices generating audio across various frequency bands, thereby solving the problem in related technologies where it is impossible to identify faults in all devices generating audio across various frequency bands.

[0032] The following description, in conjunction with the accompanying drawings, details a fault diagnosis device, method, and apparatus provided in this application through specific embodiments and application scenarios.

[0033] Figure 1 This is a schematic diagram of the structure of a fault diagnosis device provided in an embodiment of this application. The fault diagnosis device 100 includes a stethoscope 110, an ID detection module 120, an audio adaptive switching circuit 130, a signal sampling circuit 140, and an audio algorithm processing module 150.

[0034] A stethoscope 110 is used to collect target audio, wherein the target audio is one of the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasound frequency band, and the audio corresponding to the low frequency band, wherein the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band.

[0035] ID detection module 120, connected to stethoscope 110, is used to determine the ID type of the target audio based on the frequency of the target audio and the correspondence between the frequency of the audio and the ID type of the audio in a preset manner. The ID type of the audio corresponding to the human hearing threshold frequency band is ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is acoustic emission type, and the ID type of the audio corresponding to the low frequency band is bone conduction type.

[0036] The audio adaptive switching circuit 130 is connected to the ID detection module 120 and is used to receive the ID type of the target audio transmitted by the ID detection module 120 and determine the signal sampling circuit 140 corresponding to the ID type.

[0037] The signal sampling circuit 140 is connected to the audio adaptive switching circuit 130 and is used to sample the target audio by means of sampling parameters corresponding to the ID type of the target audio to obtain sampling data. The sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters and filtering frequency band.

[0038] The audio algorithm processing module 150 is connected to the signal sampling circuit 140 and is used to receive the sampling data transmitted by the signal sampling circuit 140, and to identify the sampling data through a preset algorithm library that matches the ID type to determine the fault of the target device, wherein the target device is the device that generates the target audio.

[0039] Specifically, the stethoscope 110 can be any device used for audio acquisition, such as various audio sensors. Furthermore, for different audio frequencies, such as the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasonic frequency band, and the audio corresponding to the low frequency band, audio sensors for acquiring audio at different frequencies can be used.

[0040] Understandably, the stethoscope 110 may also include various devices for processing the acquired audio to output the final target audio.

[0041] Specifically, the ID detection module 120 can be any circuit module capable of determining the ID type of the target audio. The ID detection module 120 is connected to the stethoscope 110, and can receive the target audio transmitted by the stethoscope 110 and determine the ID type of the target audio.

[0042] It is understandable that the number of signal sampling circuits 140 can correspond to the number of ID types, thereby enabling the target audio to be sampled through the signal sampling circuit corresponding to the ID type of the target audio.

[0043] Specifically, the sampling parameters of the signal sampling circuit 140 can be determined and adjusted by the system on chip (SOC).

[0044] Specifically, the audio adaptive switching circuit 130 may include general-purpose input / output (GPIO) ports. The number of GPIO ports can be set by relevant technicians according to specific needs. The output value of these GPIO ports can control the sampling circuit corresponding to the ID type of the target audio input for sampling. For example, the audio adaptive switching circuit 130 may include... Figure 2 The signal sampling circuit shown can use the four outputs of LINEIN_DET1 to LINEIN_DET4 corresponding to the four GPIO ports (GPIO1-B0-GPIO1-B3) as input signals to control the signal sampling circuit corresponding to the ID type of the target audio input.

[0045] Specifically, the SOC chip can be used as the control chip for GPIO. The SOC chip can determine the signal sampling circuit corresponding to the target audio by controlling the output value of GPIO (i.e., GPIO1-B0 to GPIO1-B3).

[0046] Specifically, the aforementioned preset algorithm library may include an audio sample library corresponding to each ID type and an algorithm corresponding to each ID type. The audio sample library can store the sampled target audio corresponding to each ID type. The algorithm corresponding to each ID type can be used to calibrate the normality or abnormality of the target audio corresponding to each ID type in the stored audio sample library, and perform voiceprint analysis and edge inference on it, thereby realizing the detection of faults in the device that generates the target audio.

[0047] It should be noted that the aforementioned SOC chip can be used to allocate a preset algorithm library that matches the ID type, and then the sampled data can be used for fault identification through this algorithm library.

[0048] Thus, the stethoscope 110 is used to collect target audio, wherein the target audio is one of the following: audio corresponding to the human hearing threshold frequency band, audio corresponding to the ultrasound frequency band, and audio corresponding to the low-frequency band. The low-frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band. The ID detection module 120, connected to the stethoscope 110, is used to determine the ID type of the target audio based on the frequency of the target audio and the pre-set correspondence between the audio frequency and the audio ID type. The ID type of the audio corresponding to the human hearing threshold frequency band is ultrasound broadband type, the ID type of the audio corresponding to the ultrasound frequency band is acoustic emission type, and the ID type of the audio corresponding to the low-frequency band is bone conduction type. The audio adaptive switching circuit 130, connected to the ID detection module 120, is used to receive the ID type of the target audio transmitted by the ID detection module 120 and determine the ID type. A corresponding signal sampling circuit 140 is provided; the signal sampling circuit 140 is connected to the audio adaptive switching circuit 130, and is used to sample the target audio through sampling parameters corresponding to the ID type of the target audio to obtain sampling data, wherein the sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters and filtering frequency band; an audio algorithm processing module 150 is connected to the signal sampling circuit 140, and is used to receive the sampling data transmitted by the signal sampling circuit, and to identify the sampling data through a preset algorithm library matching the ID type to determine the fault of the target device, wherein the target device is the device that generates the target audio, thereby enabling the identification of faults of all devices that generate audio in each frequency band range, and thus solving the problem in related technologies that it is impossible to identify faults of all devices that generate audio in each frequency band range.

[0049] In one alternative implementation, such as Figure 3 As shown, the stethoscope 110 includes: an audio acquisition module 111 for acquiring audio to be processed; an amplification circuit 112 connected to the audio acquisition module 111 for amplifying the acquired audio to be processed; and a filtering circuit 113 connected to the amplification circuit 112 and the ID detection module 120 respectively for filtering the audio to be processed so that the filtered audio to be processed is within the frequency band corresponding to the target audio, determining the filtered audio to be processed as the target audio, and sending it to the ID detection module 120.

[0050] Specifically, the audio acquisition module 111 can be a microphone (MIC). Different types of MICs can be selected to acquire audio at different frequencies. For example, for low-frequency audio, a MIC with a core component being a single-axis accelerometer (Voice Pick-Up Sensor, VPU) using piezoelectric material technology can be used; for audio corresponding to the human hearing threshold frequency range, an ultrasonic broadband MIC based on MicroElectromechanical System (MEMS) technology can be used; for audio corresponding to the ultrasonic frequency range, a MIC with a core component being a broadband or resonant acoustic emission sensor can be used. Since the MIC has no sound inlet, it is suitable for extreme noise environments.

[0051] It should be noted that the bandwidth of the VPU needs to support the pickup of low-frequency vibration acoustic signals below 4kHz, and the sensitivity needs to be above -30dBV / g; the bandwidth of the MEMS-based ultrasonic broadband MIC needs to be 100Hz~80kHz, the sensitivity needs to be above -42dBV / Pa, and the pickup distance needs to be greater than 1 meter; the bandwidth of the broadband or resonant acoustic emission sensor needs to be 20kHz~200kHz, and the pickup distance needs to be greater than 1 meter.

[0052] Specifically, amplifier circuit 112 can be an inverse proportional amplifier circuit composed of an operational amplifier and resistors. For example, as Figure 4 As shown, amplifier circuit 112 can be an inverse proportional amplifier circuit composed of UA1A, RA2, and RA4.

[0053] Specifically, the filter circuit 113 can be a low-pass filter composed of a preset capacitor and a preset resistor.

[0054] Optional, such as Figure 3 As shown, the stethoscope 110 may also include a single-ended to differential circuit 114, which can be connected to the amplifier circuit 112 and the filter circuit 113 respectively, to convert the amplified audio signal to be processed into a differential analog signal output, thereby ensuring that the audio signal can improve its anti-interference performance during long-distance cable transmission. For example, as Figure 5 As shown, a single-ended to differential circuit 114 can be formed by an emitter follower circuit composed of operational amplifier UA2A and an inverting amplifier circuit composed of operational amplifier UA2B, R3, and R28. It is understood that the amplification factor of the aforementioned inverting amplifier circuit is -1.

[0055] As a concrete example, for instance, Figure 4As shown, the signal MIC to be processed, acquired by the audio acquisition module 111, is input to the negative terminal of the operational amplifier UA1A. After amplification by the inverse proportional amplifier circuit composed of UA1A, RA2, and RA4, the amplified value MIC_IN is output from port 1 of the operational amplifier. It can be understood that the value of MIC_IN is a multiple of the resistance value of RA2 or RA4 of the signal MIC to be processed.

[0056] Furthermore, such as Figure 5 As shown, the MIC_IN signal is input into the emitter follower circuit composed of UA2A. The signal output through UA2A PIN1 is MIC_IN+, which is the positive differential audio signal. Further, the signal output from UA2A PIN1 enters the negative terminal of operational amplifier UA2B, is amplified by the inverting amplifier circuit composed of UA2B, R3, and R28, and outputs through UA2B PIN7 as MIC_IN- (also known as -MIC_IN), which is the negative differential audio signal. In summary, the acquired signal to be processed can be converted into analog differential signals MIC_IN+ and MIC_IN- for output.

[0057] Furthermore, such as Figure 5 As shown, before the output audio differential positive signal MIC_IN+, and after the UA2A PIN1 outputs the differential signal, the signal output from the UA2A PIN1 can be input to a low-pass filter (such as filter circuit 1131) composed of capacitor C166 and resistor RA58. The signal output from this filter can be used as the audio differential positive signal MIC_IN+, where the cutoff frequency of the low-pass filter is 1 / (2π·RA58·C166); similarly, as... Figure 5 As shown, before the output audio differential negative signal MIC_IN-, after the UA2B PIN7 outputs the differential signal, the signal output by the UA2B PIN7 can be input to a low-pass filter (such as filter circuit 1132) composed of capacitor C1 and resistor RA57, and the signal output by the filter can be used as the audio differential negative signal MIC_IN-, where the cutoff frequency of the low-pass filter is 1 / (2π·RA57·C1).

[0058] In this way, the audio to be processed at the required frequency can be obtained, and the audio to be processed can be amplified by the amplifier circuit 112 for processing. Furthermore, the amplified audio to be processed can be filtered so that the acquired signal to be processed is within the frequency range corresponding to the target audio.

[0059] In one alternative implementation, such as Figure 6As shown, the fault diagnosis device further includes an audio interface protection circuit 160, which is connected to the stethoscope 110 and the audio adaptive switching circuit 130 respectively, and is used to control the amplitude of the target audio within the preset sampling amplitude range of the signal sampling circuit 140.

[0060] It is understood that the audio interface protection circuit 160 described above can be any circuit that can control the amplitude of the target audio within the preset sampling amplitude range of the signal sampling circuit 140.

[0061] As a concrete example, such as Figure 7 The diagram shows the audio interface protection circuit 160. The two target audio signals MIC_IN+ and MIC_INN- output from the stethoscope 110 can be input as MIC_INP and MIC_INN signals to the protection devices TVS3 and TVS4 in the audio interface protection circuit 160, respectively. They then pass through the first low-pass filter module (composed of RA196 and CA185, with a cutoff frequency of 1MHz) and the second low-pass filter module (composed of RA198 and CA188, also with a cutoff frequency of 1MHz) in the audio interface protection circuit 160. Furthermore, MIC_IN... The P and MIC_1N signals are respectively input to the input terminals INL and INR of the differential operational amplifier UA10 in the audio interface protection circuit 160. The amplification gain of the operational amplifier OUTL can be determined by the value of RA189 / (RA196+RA197), and the amplification gain of the operational amplifier OUTR can be determined by the value of RA188 / (RA192+RA198). Thus, the amplitude of the two input target audio signals MIC_IN+ and MIC_1N- can be adjusted by the above amplification gains, and the amplitude of the target audio can be controlled within the preset sampling amplitude range of the matched signal sampling circuit 140.

[0062] In one alternative implementation, such as Figure 8 As shown, the signal sampling circuit 140 includes:

[0063] The high-speed analog-to-digital converter (ADC) module circuit 141 is connected to the audio adaptive switching circuit 130 and the audio algorithm processing module 150 respectively, and is used to sample the target audio corresponding to the acoustic emission type and send the sampled data to the audio algorithm processing module 150.

[0064] The audio codec module 142 is connected to the audio adaptive switching circuit 130 and the audio algorithm processing module 150 respectively, and is used to sample the target audio corresponding to the bone conduction type or the ultrasound broadband type, and send the sampled data to the audio algorithm processing module 150.

[0065] Optionally, in this implementation, the audio adaptive switching circuit 130 may further include an adaptive analog switch for selecting the high-speed ADC module circuit 141 or the audio codec module 142 as the signal sampling circuit 140. The selection of the signal sampling circuit 140 by the adaptive analog switch can be controlled by any one of the LINEIN_DET1 to LINEIN_DET4 corresponding to the GPIO ports GPIO1-B0-GPIO1-B3 in the audio adaptive switching circuit 130.

[0066] As a concrete example, for instance, Figure 9 As shown, the analog differential signals AMIC_1N and AMIC_1P output by the audio interface protection circuit 160 enter the adaptive analog switches COM1 and COM2 respectively. When LINEIN_DET1 triggers and controls the analog switches COM1 and COM2 to be selected with NO1 and NO2 respectively, the target audio signal enters the high-speed ADC module circuit 141 for sampling; when LINEIN_DET1 triggers and controls the adaptive analog switches COM1 and COM2 to be selected with NC1 and NC2 respectively, the target audio signal enters the audio codec module 142 for sampling.

[0067] Specifically, the SOC chip can communicate with the audio codec module 142 via the control I2S interface to adjust the sampling gain, digital filtering band, and sampling frequency of the audio codec module 142.

[0068] Specifically, the SOC chip can communicate with the high-speed ADC module circuit 141 through the control SPI interface to adjust the sampling gain, polling sampling mode and sampling frequency of the high-speed ADC module circuit 141.

[0069] As a concrete example, for instance, Figure 10 The image shows the audio codec module 142. In this module, the AMIC_1P and AMIC_1N signals pass through the DC blocking capacitors CA21 and CA22 and then enter the analog audio inputs AINA+ and AINA- of UA2.

[0070] As a concrete example, for instance, Figure 16 The circuit shown is the high-speed ADC module 141.

[0071] Optionally, a differential-to-single-ended circuit can be connected before the high-speed ADC module circuit 141 to solve the differential signal delay problem existing in the high-speed ADC module circuit 141.

[0072] As a concrete example, for instance, Figure 11The above differential-to-single-ended circuit is shown. Differential audio signals AMIC_1P and AMIC_1N can enter the differential-to-single-ended circuit after passing through DC blocking capacitors CA47 and CA48. AMIC_1P outputs MIC1 through an inverting amplifier circuit composed of operational amplifier U132A, with an amplification factor of RP30 / RP27. AMIC_1N is grounded through RP29. Furthermore, MIC1 can be output to the input signal terminal of the high-speed ADC module circuit 141 (e.g., ...). Figure 16 (The MIC_1 terminal shown).

[0073] In this way, the corresponding signal sampling circuit can be selected for sampling the target audio of each ID type, and then the sampled data can be analyzed more effectively through the preset algorithm library corresponding to different ID types.

[0074] In one alternative implementation, such as Figure 12 As shown, the ID detection module 120 includes:

[0075] ID value determination circuit 121 is connected to the stethoscope 110 and is used to determine the ID voltage value corresponding to the target audio.

[0076] ID type determination circuit 122 is connected to ID value determination circuit 121 and audio adaptive switching circuit 130 respectively, and is used to determine the ID type corresponding to the ID voltage value according to the correspondence between the ID voltage value range and the ID type.

[0077] As a concrete example, the ID value determination circuit 121 may include, for instance, the following: Figure 13 The ID resistance circuit shown and as follows Figure 14 The interface voltage divider circuit shown inputs various target audio signals into their corresponding ID resistance circuits. For example, the target audio signal corresponding to bone conduction is input into the ID resistance circuit corresponding to RID1, the target audio signal corresponding to broadband ultrasound is input into the ID resistance circuit corresponding to RID2, and the target audio signal corresponding to acoustic emission is input into the ID resistance circuit corresponding to RID3. Furthermore, the preliminary voltage division value output from the ID resistance circuit can be output to... Figure 14 In the interface voltage divider circuit, channels 1-4 yield the voltage divider values ​​V for the four channels. ID_REF1 ~V ID_REF4 .

[0078] As a concrete example, for instance, the ID type determination circuit 122 can be as follows: Figure 15 The ADC interface circuit shown can detect the interfaces SARADC_VIN1 to SARADC_VIN4 of this interface circuit (i.e., SARADC). Figure 14The voltage divider values ​​V of the four channels ID_REF1 ~V ID_REF4 It converts this into a digital signal, and further, the ADC interface circuit can calculate the average voltage division value V of the four channels. LINE IN1 Furthermore, the average voltage distribution value can be compared with the preset range corresponding to each ID type to determine the ID type of the target audio. For example, if V LINE IN1 =1.65V±3% is for bone conduction models, V LINEIN1 =2.2V±3% is the ultrasonic broadband version, V LINE IN1 =1.98V±3% is for acoustic emission, which can determine the ID type of the target audio.

[0079] Specifically, the ADC interface circuit can be controlled by the SOC chip.

[0080] This allows for the specific determination of the ID type of the target audio.

[0081] Figure 17 This invention illustrates a fault diagnosis method provided by an embodiment of the present invention. The method is applied to a fault diagnosis device and includes the following steps:

[0082] Step 1701: Acquire the target audio.

[0083] The target audio is one of the following: the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasonic frequency band, and the audio corresponding to the low frequency band. The low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasonic frequency band.

[0084] Specifically, a stethoscope can be used to collect audio data corresponding to the human ear's hearing threshold frequency band, the ultrasound frequency band, and the low-frequency band.

[0085] Step 1702: Determine the ID type of the target audio based on the frequency of the target audio and the pre-set correspondence between the audio frequency and the audio identifier ID type.

[0086] The ID type of the audio corresponding to the human hearing threshold frequency band is ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is acoustic emission type, and the ID type of the audio corresponding to the low frequency band is bone conduction type.

[0087] Specifically, the ID type of the target audio can be determined through an ID detection circuit.

[0088] Step 1703: Determine the fault of the target device based on the ID type of the target audio.

[0089] The target device is the device that generates the target audio.

[0090] Specifically, the signal sampling circuit of the target audio can be determined based on the ID type of the target audio. Then, the target audio can be sampled using the sampling parameters corresponding to the ID type through the signal sampling circuit to obtain sampling data. The audio algorithm processing module can then match the sampling data to the preset algorithm library corresponding to the ID type for identification, thereby identifying the fault of the device that generated the target audio.

[0091] Thus, by acquiring target audio, which is one of the following: audio corresponding to the human hearing threshold frequency band, audio corresponding to the ultrasound frequency band, and audio corresponding to the low-frequency band, wherein the low-frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band; based on the frequency of the target audio and the pre-set correspondence between the frequency of the audio and the audio identifier ID type, the ID type of the target audio is determined, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is acoustic emission type, the ID type of the audio corresponding to the ultrasound frequency band is ultrasound broadband type, and the ID type of the audio corresponding to the low-frequency band is bone conduction type; according to the ID type of the target audio, the fault of the target device is determined, wherein the target device is the device that generates the target audio, thereby enabling the identification of faults in all devices that generate audio within the frequency band range.

[0092] In one optional implementation, acquiring the target audio includes: acquiring the audio to be processed and amplifying the audio to be processed by a preset factor; filtering the amplified audio to be processed so that the audio to be processed is within a preset frequency band corresponding to the target audio; and determining the filtered audio to be processed as the target audio.

[0093] Specifically, the audio can be collected by microphones corresponding to the audio frequencies corresponding to the human hearing threshold, the ultrasonic frequency band, and the low-frequency band, respectively, thereby acquiring the audio to be processed. Furthermore, the audio to be processed can be amplified by a preset factor using an amplification circuit. Further still, the audio to be processed can be filtered by a filtering circuit so that the audio to be processed is within a preset frequency band corresponding to the target audio to be acquired, thereby determining the filtered audio to be processed as the target audio.

[0094] For example, if the acquired audio to be processed is the audio corresponding to the human hearing threshold frequency band, a filtering circuit can be used to ensure that the acquired audio to be processed is within the frequency band corresponding to the audio corresponding to the human hearing threshold frequency band.

[0095] In this way, the target audio that needs to be identified for fault identification can be collected.

[0096] In one optional implementation, determining the ID type of the target audio based on the frequency of the target audio and a pre-set correspondence between audio frequencies and audio identifier ID types includes:

[0097] Determine the ID voltage value corresponding to the target audio; determine the ID voltage value range to which the ID voltage value belongs; determine the ID type corresponding to the target audio based on the ID voltage value range to which the ID voltage value belongs and the pre-set correspondence between the ID voltage value range and the ID type.

[0098] Specifically, the ID voltage value corresponding to the target audio can be determined by the ID value determination circuit, and then the ID voltage value range can be determined by the preset ID voltage value range corresponding to each ID type; based on this, the ID type corresponding to the target audio can be determined.

[0099] In this way, the ID type corresponding to the target audio can be determined, and then a signal sampling circuit and a fault identification algorithm can be assigned to the target audio based on the ID type.

[0100] The specific steps of a particular embodiment of this application are described below, wherein this embodiment can be achieved through... Figure 18 The fault diagnosis equipment shown is used for this purpose.

[0101] Step 1: Acquire the target audio.

[0102] Specifically, the audio to be processed in the environment can be collected by the sensors in the stethoscope and output as a single-ended analog signal. The analog signals output by the acoustic emission ID type, the ultrasound broadband ID type, and the bone conduction ID type are AMIC_S, AMIC_U, and AMIC_B, respectively. Further, the audio to be processed is amplified by the operational amplifier circuit to provide gain, and then the amplified audio to be processed is filtered so that the filtered audio to be processed is within the frequency range corresponding to each of the above-mentioned ID types. Thus, the filtered audio to be processed can be identified as the target audio.

[0103] It should be noted that, as Figure 18 As shown, the sensor, operational amplifier circuit, and filter circuit (which can be an RC filter circuit) in the acoustic emission ID type stethoscope can form an acoustic emission audio preprocessing circuit 1801; the sensor, operational amplifier circuit, and filter circuit in the ultrasonic broadband ID type stethoscope can form an ultrasonic broadband audio preprocessing circuit 1802; and the sensor, operational amplifier circuit, and filter circuit in the bone conduction ID type stethoscope can form a bone conduction audio preprocessing circuit 1803.

[0104] Optional, further, such as Figure 18As shown, the target audio can be converted into a differential analog signal AMIC(N&P) output and transmitted to the audio interface protection circuit 160 via a shielded cable.

[0105] Step 2: Determine the ID type of the target audio.

[0106] Specifically, the signal output by the stethoscope can be used to determine the ID voltage value corresponding to the target audio through the ID value determination circuit 121. Then, the ID voltage value can be connected to the ADC port controlled by the SOC chip, and the A / D module in the ADC port converts the ID voltage value into a digital voltage value. Then, by determining the preset ID voltage value range corresponding to each ID type in which the digital voltage value falls, the ID type of the digital voltage value can be determined, and the ID type can be determined as the ID type of the target audio.

[0107] Step 3: Identify faults in the target audio.

[0108] Specifically, the SOC chip can output V through the GPIO port. LINE DET The adaptive analog switch 1804 in the audio adaptive switching circuit is enabled. For example, when the ID type of the target audio is acoustic emission type, analog switches COM1 and NO1 can be turned on, and the analog differential signal converted from the target signal can be input into the high-speed ADC module circuit 141 for sampling. When the ID type of the target audio is bone conduction type or ultrasound broadband type, analog switches COM1 and NC1 can be turned on, and the analog differential signal converted from the target signal can be input into the audio codec module 142 for sampling.

[0109] Optionally, the SOC chip can also configure important parameters such as sampling rate, gain, channel selection modes, and cut-off frequency of the high-speed ADC module circuit 141 or audio codec module 142 via SPI and I2S interfaces, respectively.

[0110] Furthermore, the sampled signals can be processed by the audio algorithm processing module. The audio algorithm processing module can assign the sampled signals to their corresponding preset algorithm sample library (e.g., the sampled signals corresponding to the target audio of acoustic emission type can be assigned to the acoustic emission algorithm sample library, the sampled signals corresponding to the target audio of bone conduction type can be assigned to the bone conduction algorithm sample library, and the sampled signals corresponding to the target audio of ultrasound broadband type can be assigned to the ultrasound broadband algorithm sample library). Then, fault identification can be performed through the preset algorithm sample library.

[0111] It should be noted that the fault diagnosis method provided in this application embodiment can be executed by a fault diagnosis device, or a control module in the fault diagnosis device for executing a fault diagnosis method. This application embodiment uses a fault diagnosis device executing a fault diagnosis method as an example to illustrate the fault diagnosis device provided in this application embodiment.

[0112] Figure 19 This is a schematic diagram of the structure of a fault diagnosis device according to an embodiment of the present invention. Figure 19 As shown, a fault diagnosis device 1900 includes: a data acquisition module 1910, a first determination module 1920, and a second determination module 1930.

[0113] The acquisition module 1910 is used to acquire target audio, wherein the target audio is one of the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasonic frequency band, and the audio corresponding to the low frequency band, and the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasonic frequency band.

[0114] The first determining module 1920 is used to determine the ID type of the target audio based on the frequency of the target audio and the correspondence between the frequency of the audio and the ID type of the audio identifier, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is the ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is the acoustic emission type, and the ID type of the audio corresponding to the low frequency band is the bone conduction type.

[0115] The second determining module 1930 is used to determine the fault of the target device based on the ID type of the target audio, wherein the target device is the device that generates the target audio.

[0116] In one implementation, the first determining module 1920 is specifically used to: determine the ID voltage value corresponding to the target audio; determine the ID voltage value range to which the ID voltage value belongs; and determine the ID type corresponding to the target audio based on the ID voltage value range to which the ID voltage value belongs and the pre-set correspondence between the ID voltage value range and the ID type.

[0117] The fault diagnosis device in this application embodiment can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network-attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not impose specific limitations.

[0118] One of the fault diagnosis devices in this application embodiment can be a device with an operating system. The operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit the specific operating system.

[0119] The fault diagnosis device provided in this application embodiment can achieve... Figure 17 and Figure 18 The various processes implemented in the method embodiments are not described in detail here to avoid repetition.

[0120] Optional, such as Figure 20 As shown, this application embodiment also provides an electronic device 2000, including a processor 2001, a memory 2002, and a program or instructions stored in the memory 2002 and executable on the processor 2001. When the program or instructions are executed by the processor 2001, they implement the various processes of the above method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0121] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0122] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described fault diagnosis method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0123] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0124] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described fault diagnosis method embodiment and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0125] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0126] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0127] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0128] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A fault diagnosis device, characterized in that, include: A stethoscope is used to collect target audio, wherein the target audio is one of the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasound frequency band, and the audio corresponding to the low frequency band, wherein the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasound frequency band. An ID detection module, connected to the stethoscope, is used to determine the ID type of the target audio based on the frequency of the target audio and the correspondence between the frequency of the audio and the ID type of the audio in a preset manner. The ID type of the audio corresponding to the human hearing threshold frequency band is the ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is the acoustic emission type, and the ID type of the audio corresponding to the low frequency band is the bone conduction type. An audio adaptive switching circuit, connected to the identifier ID detection module, is used to receive the ID type of the target audio transmitted by the identifier ID detection module and determine the signal sampling circuit corresponding to the ID type; The signal sampling circuit is connected to the audio adaptive switching circuit and is used to sample the target audio by means of sampling parameters corresponding to the ID type of the target audio to obtain sampling data. The sampling parameters include at least one of sampling rate, gain, sampling channel selection parameters and filtering frequency band. An audio algorithm processing module, connected to the signal sampling circuit, is used to receive the sampling data transmitted by the signal sampling circuit, and to identify the sampling data through a preset algorithm library that matches the ID type to determine the fault of the target device, wherein the target device is the device that generates the target audio.

2. The fault diagnosis device according to claim 1, characterized in that, The identifier ID detection module includes: An ID value determination circuit, connected to the stethoscope, is used to determine the ID voltage value corresponding to the target audio. The ID type determination circuit is connected to the ID value determination circuit and the audio adaptive switching circuit, respectively, and is used to determine the ID type corresponding to the ID voltage value according to the correspondence between the ID voltage value range and the ID type.

3. A fault diagnosis method, applied to the fault diagnosis equipment according to claim 1 or 2, characterized in that, include: Collect target audio, wherein the target audio is one of the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasonic frequency band, and the audio corresponding to the low frequency band, wherein the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasonic frequency band; Based on the frequency of the target audio and the pre-set correspondence between the frequency of the audio and the ID type of the audio, the ID type of the target audio is determined, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is the ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is the acoustic emission type, and the ID type of the audio corresponding to the low frequency band is the bone conduction type. Based on the ID type of the target audio, the fault of the target device is determined, wherein the target device is the device that generated the target audio.

4. The fault diagnosis method according to claim 3, characterized in that, The determination of the ID type of the target audio based on the correspondence between the frequency of the target audio and a pre-set audio frequency and the audio identifier ID type includes: Determine the ID voltage value corresponding to the target audio; Determine the range of ID voltage values ​​to which the ID voltage value belongs; The ID type corresponding to the target audio is determined based on the ID voltage value range to which the ID voltage value belongs and the pre-set correspondence between the ID voltage value range and the ID type.

5. A fault diagnosis device, characterized in that, The fault diagnosis device according to claim 1 or 2 includes: The acquisition module is used to acquire target audio, wherein the target audio is one of the audio corresponding to the human hearing threshold frequency band, the audio corresponding to the ultrasonic frequency band, and the audio corresponding to the low frequency band, and the low frequency band is a frequency band other than the human hearing threshold frequency band and the ultrasonic frequency band; The first determining module is used to determine the ID type of the target audio based on the frequency of the target audio and the correspondence between the frequency of the audio and the ID type of the audio identifier in a preset manner, wherein the ID type of the audio corresponding to the human hearing threshold frequency band is the ultrasonic broadband type, the ID type of the audio corresponding to the ultrasonic frequency band is the acoustic emission type, and the ID type of the audio corresponding to the low frequency band is the bone conduction type. The second determining module is used to determine the fault of the target device based on the ID type of the target audio, wherein the target device is the device that generated the target audio.

6. The fault diagnosis device according to claim 5, characterized in that, The first determining module is specifically used for: Determine the ID voltage value corresponding to the target audio; Determine the range of ID voltage values ​​to which the ID voltage value belongs; The ID type corresponding to the target audio is determined based on the ID voltage value range to which the ID voltage value belongs and the pre-set correspondence between the ID voltage value range and the ID type.

Images