CN113421538A - Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium - Google Patents
Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium Download PDFInfo
- Publication number
- CN113421538A CN113421538A CN202110701471.5A CN202110701471A CN113421538A CN 113421538 A CN113421538 A CN 113421538A CN 202110701471 A CN202110701471 A CN 202110701471A CN 113421538 A CN113421538 A CN 113421538A
- Authority
- CN
- China
- Prior art keywords
- reduction system
- noise reduction
- noise
- active noise
- sound wave
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000004590 computer program Methods 0.000 claims description 17
- 238000003745 diagnosis Methods 0.000 claims 10
- 230000002159 abnormal effect Effects 0.000 description 16
- 239000013598 vector Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1783—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions
- G10K11/17833—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions by using a self-diagnostic function or a malfunction prevention function, e.g. detecting abnormal output levels
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17813—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1787—General system configurations
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The invention provides a fault judgment method of an active noise reduction system, a household appliance, an automobile, a computer device and a computer readable storage medium, wherein the fault judgment method of the active noise reduction system comprises the steps of acquiring a noise signal through a microphone, generating an inverse sound wave signal according to the noise signal and sending the inverse sound wave signal through a loudspeaker; generating a noise data set from the plurality of noise signals and a reverse acoustic data set from the plurality of reverse acoustic signals; acquiring noise signal characteristics of a noise data set and anti-phase sound wave signal characteristics of an anti-phase sound wave data set; and judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics. The household appliance, the automobile, the computer device and the computer readable storage medium can realize the fault judgment method. The invention judges the fault state according to the signal characteristics of the noise signal and the reverse-phase sound wave signal, and ensures the stability of the whole active noise reduction system.
Description
Technical Field
The invention relates to the technical field of active noise reduction control, in particular to a fault judgment method of an active noise reduction system, a household appliance, an automobile, a computer device and a computer readable storage medium.
Background
The active noise reduction technology is applied to the field of earphones, automobiles and household appliances. The active noise reduction system is composed of a microphone array, a loudspeaker array, an audio input/output module, a controller and other modules, and the basic working principle is that noise signals are obtained through the microphone array, inverted sound wave signals are generated through calculation according to the noise signals, and then the inverted sound wave signals are sent to a target sound field through the loudspeaker array to counteract the noise signals so as to achieve noise reduction.
In the prior art, each module in the active noise reduction system cannot be monitored in real time, and the noise reduction system can output abnormal sound or disperse due to the fact that any module has a problem.
Disclosure of Invention
The invention aims to provide a fault judgment method for an active noise reduction system, which avoids abnormal sound and ensures the stability of the active noise reduction system.
The invention also aims to provide a household appliance, an automobile, a computer device and a computer readable storage medium which can realize the active noise reduction system fault judgment method.
The active noise reduction system fault judgment method provided by the invention comprises the steps of acquiring a noise signal through a microphone, generating an inverse sound wave signal according to the noise signal and sending the inverse sound wave signal through a loudspeaker; generating a noise data set from the plurality of noise signals and a reverse acoustic data set from the plurality of reverse acoustic signals; acquiring noise signal characteristics of a noise data set and anti-phase sound wave signal characteristics of an anti-phase sound wave data set; and judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics.
According to the scheme, the acquisition module acquires noise signals of corresponding channels through a microphone, then stores a plurality of noise signal data which are acquired latest for each channel into corresponding memory vectors, simultaneously stores a plurality of reversed phase sound wave signals output by the controller into the memory vectors, judges whether the power supply of the microphone is abnormal or not, whether the work of the microphone is interfered to cause abnormal signal change or not, whether the reversed phase sound wave signals are abnormal to possibly cause distortion, abnormal sound or even divergence by analyzing the mean value, the amplitude, the variance, the variation trend and the like of a noise data group and/or a reversed phase sound wave data group, judges that a system is in a fault state if the system is in the fault state, and stops the microphone or the loudspeaker which has a problem according to the fault state, so that the normal work of the whole active noise reduction system is ensured.
Further, the microphones comprise a feedforward microphone and a feedback microphone; the step of acquiring a noise signal by a microphone comprises acquiring a feedforward noise signal by a feedforward microphone and acquiring a feedback noise signal by a feedback microphone; the noise data set includes a feedforward noise data set generated from a plurality of feedforward noise signals and a feedback noise data set generated from a plurality of feedback noise signals.
Therefore, the active noise reduction system is a mixed noise reduction system of feedforward and feedback, the feedforward microphone array is used for acquiring feedforward noise signals of a noise source sound field, the feedback microphone array is used for acquiring feedback noise signals of a target sound field, and the anti-phase sound wave signals are generated and adjusted by combining the feedforward noise signals and the feedback noise signals, so that the noise reduction effect can be further improved.
The method for judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps: and if the first change rate of the plurality of feedback noise signals in the feedback noise data set is greater than a first preset value and the second change rate of the plurality of reversed-phase sound wave signals in the reversed-phase sound wave data set is greater than a second preset value, determining that the active noise reduction system is in a first fault state.
In a further aspect, if the active noise reduction system is determined to be in the first failure state, the generation of the inverse acoustic wave signal is stopped.
As can be seen from the above, if the variation trend of the noise signal energy and the variation trend of the loudspeaker output signal capability are both increased significantly, it indicates that the active noise reduction system is about to diverge, and therefore, it is necessary to stop generating the inverse sound wave signal.
The method for judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps: and if the average value of the amplitudes of the noise signals in the noise data group exceeds a third preset value, determining that the active noise reduction system is in a second fault state.
In a further aspect, if it is determined that the active noise reduction system is in the second failure state, the microphone corresponding to the noisy data set is stopped.
Therefore, under the correct condition, the average value of the amplitudes of the plurality of noise signals changes near the reference value, and if the average value exceeds the preset threshold value, it is indicated that the power supply voltage of the corresponding microphone is abnormal, so that the microphone needs to be closed to avoid the problem, and the normal operation of the system is ensured.
The method for judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps: and if the amplitude of any noise signal in the noise data group exceeds a fourth preset value or the amplitude variance of a plurality of noise signals in the noise data group exceeds a fifth preset value, determining that the active noise reduction system is in a third fault state.
In a further aspect, if it is determined that the active noise reduction system is in a third failure state, the microphone corresponding to the noisy data set is stopped.
Therefore, when any one of the amplitude and the variance of the noise signal exceeds the preset index value, it can be determined that the working condition of the microphone is interfered and the signal change is abnormal, so that the microphone with the corresponding channel needs to be closed, and the overall active noise reduction effect is prevented from being damaged.
The method for judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps: and if the amplitude of any reverse sound wave signal in the reverse sound wave data set exceeds the working amplitude range of the loudspeaker, determining that the active noise reduction system is in a fourth fault state.
In a further aspect, if the active noise reduction system is determined to be in the fourth failure state, the operation of the speaker corresponding to the inverse sound wave data set is stopped.
As can be seen from the above, when the amplitude of the opposite-phase sound wave signal exceeds the preset value, the corresponding speaker needs to be stopped in order to avoid the distortion of the speaker or the generation of abnormal sound.
The household appliance provided by the invention comprises a microphone, a loudspeaker and a processor, wherein the processor is used for realizing the active noise reduction system fault judgment method when executing a computer program stored in a memory.
The automobile provided by the invention comprises a microphone, a loudspeaker and a processor, wherein the processor is used for realizing the active noise reduction system fault judgment method when executing a computer program stored in a memory.
The computer device provided by the invention comprises a processor, and the processor is used for realizing the active noise reduction system fault judgment method when executing a computer program stored in a memory.
The computer readable storage medium provided by the invention stores a computer program, and the computer program is executed by a processor to realize the fault judgment method of the active noise reduction system.
Drawings
Fig. 1 is a system block diagram of an active noise reduction system according to an embodiment of the present invention.
Fig. 2 is a flowchart of an embodiment of a method for determining a fault of an active noise reduction system according to the present invention.
Detailed Description
Embodiments of active noise reduction System
Referring to fig. 1, the active noise reduction system includes a feedforward microphone array 1, an acquisition module 2, a controller 3, a driving module 4, a speaker array 5, and a feedback microphone array 6, the feedforward microphone array 1 includes a plurality of feedforward microphones 11, the speaker array 5 includes a plurality of speakers 51, and the feedback microphone array 6 includes a plurality of feedback microphones 61.
The plurality of feedforward microphones 11 in the feedforward microphone array 1 are used to acquire a feedforward noise signal from a noise source.
The acquisition module 2 is configured to perform filtering and analog-to-digital conversion on the feedforward noise signal acquired by the feedforward microphone 11 and the feedback noise signal acquired by the feedback microphone 61.
The controller 3 may generate an inverse acoustic wave signal according to the noise information from the acquisition module 2.
The driving module 4 includes a digital-to-analog converter and a power amplifier, and the driving module 4 performs digital-to-analog conversion and power amplification on the inverse sound wave signal generated by the controller 3, so as to drive the speaker array 5.
The plurality of speakers 51 of the speaker array 5 are used to emit sound wave signals in opposite phases to a target sound field.
The plurality of feedback microphones 61 in the feedback microphone array 6 are used to collect feedback noise signals from the target sound field, and the controller 3 adjusts the amplitude and phase of the inverted sound wave signal in combination with the feedback noise signals, thereby generating a better noise reduction effect.
Method for judging fault of active noise reduction system
The controller of the active noise reduction system is provided with a processor, and the processor is used for realizing the fault judgment method of the active noise reduction system when executing the computer program stored in the memory.
Referring to fig. 1 and 2, after the active noise reduction system is powered on, the controller automatically initializes the internal programs, and first performs step S1 to collect feedforward noise signals from the noise source through the feedforward microphones 11 in the feedforward microphone array 1 and feedback noise signals from the target sound field through the feedback microphones 61 in the feedback microphone array 6 according to a preset sampling rate, and the system generates reverse-phase sound wave signals according to the collected feedforward noise signals and feedback noise signals and emits the reverse-phase sound wave signals through the loudspeakers 51 in the loudspeaker array 5.
The system then proceeds to step S2 to store the noise data set and the inverted acoustic wave data set. In step S2, the acquiring module 2 acquires each feedforward noise signal corresponding to the feedforward microphone 11 through the feedforward microphone 11, and the overfeedback noise signalAfter the microphone 61 collects each feedback noise signal corresponding to the feedback microphone 61, for each channel i, the L newly collected feedforward noise signals or feedback noise signals in the channel are stored in the corresponding memory vector bufxiBecomes a feedforward noise data set or a feedback noise data set. In step S2, the acquisition module 2 also stores the L inverse sound wave signals output by the controller 3 in the corresponding memory vector spki to form an inverse sound wave data set.
The system then performs step S3 to calculate the noise signal characteristic and the inverse acoustic wave signal characteristic. At each sampling instant, the calculator calculates the feedforward noise signal characteristic of the feedforward noise data set, the feedback noise signal characteristic of the feedback noise data set and the inverse sound wave signal characteristic of the inverse sound wave data set acquired by each channel i.
In this embodiment, the noise signal characteristics include a plurality of noise signals x in a noise data set (including a feedforward noise data set and a feedback noise data set)iAmplitude mean value U ofiAmplitude MPiSum amplitude variance σiThe noise signal characteristic further includes a first rate of change of a plurality of feedback noise signals in the feedback noise data set; the inverse acoustic wave signal characteristic includes amplitudes SP of a plurality of inverse acoustic wave signals in the inverse acoustic wave data setiAnd a second rate of change.
Wherein the first change rate refers to the change of the amplitude difference of a plurality of continuous feedback noise signals in the feedback noise data group, and the first change rate reflects the first change trend TX of the feedback noise data groupi(ii) a And the second change rate is the change of the amplitude difference of a plurality of continuous reverse phase acoustic wave signals in the reverse phase acoustic wave data set, and the second change rate is used for reflecting the second change trend TS of the reverse phase acoustic wave data seti. Then the system executes step S4 to determine whether the active noise reduction system is in a fault state according to the noise signal characteristics and the inverse sound wave signal characteristics and the following four criteria.
First, e.g. a plurality of noise signals x in a noisy data setiAverage value of amplitude of UiExceeds a threshold value Pi(third Preset value), corresponding descriptionAnd when the power supply voltage of the microphone is abnormal, determining that the microphone is in the second fault state at present, and stopping the feedforward microphone 11 or the feedback microphone 61 corresponding to the abnormal noise data set.
Second, e.g. amplitude MP of any noise signal in the noisy data setiExceeding a fourth predetermined value or a variance σ of the amplitudes of a plurality of noise signals in the noise data setiAnd if the working condition of the feedforward microphone 11 or the feedback microphone 61 corresponding to the noise data group is interfered and the signal change is abnormal, determining that the feedforward microphone 11 or the feedback microphone 61 is in the third fault state at present, and stopping the feedforward microphone 11 or the feedback microphone 61.
Third, the amplitude SP of any one of the inverted acoustic signals in the inverted acoustic data setiAnd exceeding the working amplitude range of the loudspeaker 51, determining that the active noise reduction system is in the fourth fault state, and stopping the corresponding loudspeaker 51 in order to avoid loudspeaker distortion or abnormal sound.
Fourthly, if the first change rate of the plurality of feedback noise signals in the feedback noise data group is larger than the first preset value and the second change rate of the plurality of reversed-phase sound wave signals in the reversed-phase sound wave data group is larger than the second preset value, the first change trend TX of the feedback noise data group is the same as the first change trendiAnd a second trend TS of the inverse acoustic data setiAnd meanwhile, the amplitude is obviously increased, the active noise reduction system is about to diverge, and the active noise reduction system is determined to be in the first fault state and stops generating the inverse sound wave signal.
When it is determined that the current state is in the fault state, the system performs step S5, and a fault code corresponding to the current fault state is displayed as a prompt on the display screen of the controller, thereby prompting the user.
Then the system executes step S6, the controller 3 stores the signal data corresponding to the fault channel i into FLASH, and the worker can transmit the corresponding data to the computer through the serial port communication interface for troubleshooting.
The active noise reduction system fault judgment method analyzes the mean value U of the noise data group and/or the inverse sound wave data groupiAmplitude (MP)i、SPi) Variance σiAnd becomeTrends of formation (TX)i、TSi) And judging whether the power supply of the microphone is abnormal or not, judging whether the work is interfered to cause signal change abnormity or not, judging whether the reverse sound wave signal is abnormal or not to possibly cause distortion, abnormal sound or even divergence, if so, judging that the system is in a fault state, and stopping the work of the microphone or the loudspeaker corresponding to a fault channel, thereby ensuring the normal work of the whole active noise reduction system and the stability of the system.
The invention also comprises a household appliance and an automobile which are provided with the active noise reduction system and can realize the fault judgment method of the active noise reduction system.
The computer device of the present invention may be a device including a processor, a memory, and the like, for example, a single chip microcomputer including a central processing unit and the like. And the processor is used for realizing the steps of the active noise reduction system fault judgment method when executing the computer program stored in the memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Computer-readable storage medium embodiments
The computer readable storage medium of the present invention may be any form of storage medium that can be read by a processor of a computer device, including but not limited to a non-volatile memory, a ferroelectric memory, and the like, and the computer readable storage medium has a computer program stored thereon, and when the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-mentioned active noise reduction system failure determination method can be implemented.
The computer program comprises computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Finally, it should be emphasized that the above-described preferred embodiments of the present invention are merely examples of implementations, rather than limitations, and that many variations and modifications of the invention are possible to those skilled in the art, without departing from the spirit and scope of the invention.
Claims (14)
1. The method for judging the fault of the active noise reduction system is characterized by comprising the following steps:
acquiring a noise signal through a microphone, generating an inverse sound wave signal according to the noise signal and sending the inverse sound wave signal through a loudspeaker;
generating a noise data set from a plurality of said noise signals and an anti-phase acoustic data set from a plurality of said anti-phase acoustic signals;
acquiring noise signal characteristics of the noise data set and anti-phase sound wave signal characteristics of the anti-phase sound wave data set;
and judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics.
2. The active noise reduction system fault diagnosis method according to claim 1, wherein:
the microphones comprise a feedforward microphone and a feedback microphone;
the step of acquiring a noise signal by a microphone comprises:
acquiring a feedforward noise signal through the feedforward microphone, and acquiring a feedback noise signal through the feedback microphone;
the noise data sets include feedforward noise data sets generated from a plurality of the feedforward noise signals and feedback noise data sets generated from a plurality of the feedback noise signals.
3. The active noise reduction system fault diagnosis method according to claim 2, wherein:
the step of judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps:
determining that the active noise reduction system is in a first failure state if any of the following conditions are met:
a first rate of change of a plurality of the feedback noise signals in the feedback noise data set is greater than a first preset value; or the second change rate of a plurality of the reversed-phase sound wave signals in the reversed-phase sound wave data group is larger than a second preset value.
4. The active noise reduction system fault diagnosis method according to claim 3, wherein:
and if the active noise reduction system is determined to be in the first fault state, stopping generating the reverse acoustic wave signal.
5. The active noise reduction system fault diagnosis method according to any one of claims 1 to 4, wherein:
the step of judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps:
and if the average value of the amplitudes of a plurality of noise signals in the noise data group exceeds a third preset value, determining that the active noise reduction system is in a second fault state.
6. The active noise reduction system fault diagnosis method according to claim 5, wherein:
and if the active noise reduction system is determined to be in the second fault state, stopping the microphone corresponding to the noise data group.
7. The active noise reduction system fault diagnosis method according to any one of claims 1 to 4, wherein:
the step of judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps:
and if the amplitude of any one noise signal in the noise data group exceeds a fourth preset value or the amplitude variance of a plurality of noise signals in the noise data group exceeds a fifth preset value, determining that the active noise reduction system is in a third fault state.
8. The active noise reduction system fault diagnosis method according to claim 7, wherein:
and if the active noise reduction system is determined to be in the third fault state, stopping the microphone corresponding to the noise data group.
9. The active noise reduction system fault diagnosis method according to any one of claims 1 to 4, wherein:
the step of judging whether the active noise reduction system is in a fault state or not according to the noise signal characteristics and/or the reversed-phase sound wave signal characteristics comprises the following steps:
and if the amplitude of any one of the reversed-phase sound wave signals in the reversed-phase sound wave data group exceeds the working amplitude range of the loudspeaker, determining that the active noise reduction system is in a fourth fault state.
10. The active noise reduction system fault diagnosis method according to claim 8, wherein:
and if the active noise reduction system is determined to be in the fourth fault state, stopping the loudspeaker corresponding to the inverse sound wave data group from working.
11. Domestic appliance, including microphone and speaker, its characterized in that: the household appliance comprises a processor for implementing the active noise reduction system failure determination method of any one of claims 1 to 10 when executing a computer program stored in a memory.
12. Car, including microphone and speaker, its characterized in that: the vehicle comprises a processor for implementing the active noise reduction system fault determination method according to any one of claims 1 to 10 when executing a computer program stored in a memory.
13. A computer device, characterized by: the computer arrangement comprises a processor for implementing the method of active noise reduction system fault determination according to any of claims 1 to 10 when executing a computer program stored in a memory.
14. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed by a processor implements the method of active noise reduction system fault diagnosis according to any of claims 1 to 10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110701471.5A CN113421538A (en) | 2021-06-23 | 2021-06-23 | Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110701471.5A CN113421538A (en) | 2021-06-23 | 2021-06-23 | Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113421538A true CN113421538A (en) | 2021-09-21 |
Family
ID=77716443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110701471.5A Pending CN113421538A (en) | 2021-06-23 | 2021-06-23 | Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113421538A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180308467A1 (en) * | 2017-04-20 | 2018-10-25 | Bose Corporation | Pressure adaptive active noise cancelling headphone system and method |
| CN110647871A (en) * | 2019-11-05 | 2020-01-03 | 燕山大学 | Rolling bearing fault diagnosis method and system based on time domain specific quantity enhancement |
| CN111681633A (en) * | 2020-05-18 | 2020-09-18 | 珠海格力电器股份有限公司 | Noise control device, electrical equipment and noise control method thereof |
| CN212342266U (en) * | 2020-09-08 | 2021-01-12 | 珠海格力电器股份有限公司 | Noise reduction device |
| CN112380767A (en) * | 2020-11-11 | 2021-02-19 | 山东大学 | Equipment fault diagnosis method and system based on improved generation countermeasure network |
| CN212785763U (en) * | 2020-06-30 | 2021-03-23 | 歌尔科技有限公司 | Noise reduction device and earphone |
-
2021
- 2021-06-23 CN CN202110701471.5A patent/CN113421538A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180308467A1 (en) * | 2017-04-20 | 2018-10-25 | Bose Corporation | Pressure adaptive active noise cancelling headphone system and method |
| CN110647871A (en) * | 2019-11-05 | 2020-01-03 | 燕山大学 | Rolling bearing fault diagnosis method and system based on time domain specific quantity enhancement |
| CN111681633A (en) * | 2020-05-18 | 2020-09-18 | 珠海格力电器股份有限公司 | Noise control device, electrical equipment and noise control method thereof |
| CN212785763U (en) * | 2020-06-30 | 2021-03-23 | 歌尔科技有限公司 | Noise reduction device and earphone |
| CN212342266U (en) * | 2020-09-08 | 2021-01-12 | 珠海格力电器股份有限公司 | Noise reduction device |
| CN112380767A (en) * | 2020-11-11 | 2021-02-19 | 山东大学 | Equipment fault diagnosis method and system based on improved generation countermeasure network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9813812B2 (en) | Method of controlling diaphragm excursion of electrodynamic loudspeakers | |
| US9485576B2 (en) | Control of a loudspeaker output | |
| US9955254B2 (en) | Systems and methods for preventing distortion due to supply-based modulation index changes in an audio playback system | |
| CN110178381A (en) | Loudspeaker protection offset supervision | |
| US20210044906A1 (en) | Methods and apparatuses for driving audio and ultrasonic signals from the same transducer | |
| JP6306713B2 (en) | Reproduction loudness adjustment method and apparatus | |
| US9531433B2 (en) | Echo cancellation methodology and assembly for electroacoustic communication apparatuses | |
| EP3010251A1 (en) | Audio system | |
| KR100765790B1 (en) | Method and apparatus for providing variable power in mobile device | |
| US10009685B2 (en) | Systems and methods for loudspeaker electrical identification with truncated non-causality | |
| CN105103220B (en) | Active noise reduction for motor vehicles | |
| CN103037289A (en) | Control of a loudspeaker output | |
| JP2004214843A (en) | Digital amplifier and gain adjustment method thereof | |
| TW201338567A (en) | Bass enhancement system and method thereof, and non-transitory physical electronic storage | |
| CN102685638B (en) | Method and apparatus for outputting audio signal | |
| US10149052B2 (en) | Electronic device and vibration information generation device | |
| EP3075171A1 (en) | Systems and methods for providing a wideband frequency response | |
| CN110731050B (en) | Controlling a noise transfer function of a signal path to reduce charge pump noise | |
| CN105812996A (en) | System and method for stereo widening | |
| CN113421538A (en) | Active noise reduction system fault judgment method, household appliance, automobile, computer device and computer readable storage medium | |
| JP2005109665A (en) | Load driver | |
| CN102576560B (en) | electronic audio device | |
| WO2020057656A1 (en) | Method, device and mobile terminal for collecting external sound wave based on sound output element | |
| WO2011034520A1 (en) | System and method for modifying an audio signal | |
| JP6875164B2 (en) | Signal processor and active noise canceling system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |