CN116989884A - Abnormal sound detection method, electronic device and storage medium - Google Patents
Abnormal sound detection method, electronic device and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
Abstract
The embodiment of the application provides a method for detecting abnormal sound, which comprises the following steps: responding to a different sound detection instruction of a user, creating a target scene, and recording under the target scene to obtain audio data to be detected; and comparing the audio data to be detected with the comparison audio of the target scene, and if the noise parameter of the audio data to be detected is determined not to fall into the parameter range of the noise parameter of the comparison audio of the target scene, judging that the first electronic equipment has abnormal noise. Through the abnormal sound detection method, when the user considers that the first electronic equipment has abnormal sound faults, the user can detect the abnormal sound faults through autonomous operation, and when the fact that the first electronic equipment has abnormal sound faults is confirmed, the user can carry out inspection and sale of the first electronic equipment, after-sale staff can carry out preliminary understanding on the first electronic equipment with the faults according to the abnormal sound detection results, and therefore a great amount of time is saved for fault investigation.
Description
Technical Field
The present application relates to the field of noise detection technologies, and in particular, to a method for detecting abnormal noise, an electronic device, and a storage medium.
Background
In the process that a user uses the electronic equipment, noise which can be heard by human ears possibly appears in component devices (such as a fan, a loudspeaker, a rotating shaft and the like) of the electronic equipment, the subjective judgment of the user cannot give a relatively accurate detection result to the generated noise, namely, the user cannot determine whether the noise emitted by the electronic equipment is abnormal noise through human ear hearing, if the user considers that the electronic equipment is faulty, after-sales personnel need to check possible fault points one by one when the electronic equipment is checked after the electronic equipment is sent out, corresponding noise-generating reference data cannot be provided for the after-sales personnel, and time and labor cost are needed for checking.
Disclosure of Invention
According to the abnormal sound detection method, the electronic equipment and the storage medium, when an electronic equipment user considers that the abnormal sound fault exists in the electronic equipment, the abnormal sound fault of the electronic equipment is detected in response to a user instruction so as to determine the health state of the electronic equipment.
In a first aspect, an embodiment of the present application provides a method for detecting abnormal sound, which is applied to a first electronic device, including: responding to a different sound detection instruction of a user, creating a target scene, and recording under the target scene to obtain audio data to be detected; and analyzing and comparing the audio data to be detected with the comparison audio of the target scene, and if the noise data of the audio data to be detected is determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, judging that the first electronic equipment has abnormal noise. According to the method, a user can detect the abnormal sound fault of the electronic equipment through autonomous operation, and when the fact that the abnormal sound fault exists in the electronic equipment is confirmed, the user can carry out after-sale inspection on the electronic equipment, after-sale staff can primarily know the fault electronic equipment according to the abnormal sound detection result, and a great amount of time is saved for fault detection.
Further, the target scene includes: responding to the abnormal sound detection instruction of the user, creating a target scene, and recording under the target scene to obtain audio data to be detected comprises the following steps: responding to a fan abnormal sound detection instruction of a user, controlling a fan of the first electronic equipment to rotate in a plurality of gears, and controlling a microphone of the first electronic equipment to record first audio data to be detected in the process of rotating the fan in each gear; the gears correspond to various rotating speeds of the fan. The fan of the first electronic equipment is controlled to rotate in a plurality of gears, first audio data to be detected in the process of rotating the fan in each gear are collected, analysis and comparison can be carried out on the collected first audio data to be detected, and whether abnormal noise exists when the fan works in each gear is determined.
Further, responding to the abnormal sound detection instruction of the user, creating a target scene, and recording under the target scene to obtain audio data to be detected comprises: responding to a speaker abnormal sound detection instruction of a user, controlling the first electronic equipment to play a set sound file, and controlling a microphone of the first electronic equipment to record in the process of playing the set sound file by the first electronic equipment and obtain second audio data to be detected; wherein the setting sound file includes a video file or an audio file. And playing the set sound file by controlling a loudspeaker of the first electronic equipment, and collecting second audio data to be detected in the process of playing the sound by the loudspeaker. The setting sound file may be a memory pre-stored in the first electronic device, or the setting sound file may be downloaded from the cloud. In some embodiments, the volume level may also be adjusted during the playback of the set sound file at the speaker, and the volume level of the volume adjustment process may be recorded. And then the collected second audio data to be detected can be analyzed and compared to determine whether abnormal noise exists in the working process of the loudspeaker.
Further, responding to the abnormal sound detection instruction of the user, creating a target scene, and recording under the target scene to obtain audio data to be detected comprises: responding to an equipment target hardware abnormal sound detection instruction of a user, controlling the first electronic equipment to play a guide video, guiding the user to operate target hardware of the first electronic equipment within a set time, and controlling a microphone of the first electronic equipment to record within the set time and obtain third audio data to be detected; wherein operating the target hardware of the first electronic device comprises: rotating the rotating shaft of the first electronic device, knocking the keyboard of the first electronic device or clicking the touch pad of the first electronic device.
Further, in response to the abnormal sound detection instruction of the user, the method further comprises the steps of: identifying a foreign sound detection instruction of a user; if the abnormal sound detection instruction of the user is identified as the abnormal sound detection instruction of the non-power mode change, executing the process of responding to the abnormal sound detection instruction of the user, creating a target scene, and recording under the target scene to obtain the audio data to be detected. The manner in which the user initiates the abnormal sound detection program includes, but is not limited to, the user initiating the abnormal sound detection program by clicking a corresponding control on the first electronic device interface or the user controlling the first electronic device by voice.
Further, the noise data includes one or more of the following parameters: noise loudness, number of peaks after fast fourier transform, and effective bandwidth after fast fourier transform; analyzing and comparing the audio data to be detected with the comparison audio of the target scene, and determining that the noise data of the audio data to be detected does not fall into the parameter range of the noise data of the comparison audio of the target scene, wherein the determining that the first electronic device has abnormal noise comprises: performing fast Fourier transform on the audio data to be detected and obtaining frequency spectrum characteristic data of the audio data to be detected; determining noise data of the audio data to be detected according to the frequency spectrum characteristic data of the audio data to be detected; and if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, determining that the first electronic equipment has abnormal noise.
Further, after determining that the first electronic device has abnormal noise, the method further includes: determining that the abnormal noise is steady-state noise or transient noise according to the frequency spectrum characteristic data of the audio data to be detected; if the abnormal noise is determined to be steady-state noise, triggering an audio output device of the first electronic equipment to perform corresponding noise reduction processing; and if the abnormal noise is determined to be transient noise, displaying prompt information for prompting a user to repair the first electronic equipment after the first electronic equipment is subjected to inspection and sale on a display interface of the first electronic equipment.
In a second aspect, an embodiment of the present application further provides a method for detecting abnormal sound, where the method is applied to a first electronic device, the first electronic device is communicatively connected to a second electronic device, and the second electronic device has at least a recording function, and the method includes: responding to a power mode change abnormal sound detection instruction of a user, sending a recording request to the second electronic equipment and controlling the first electronic equipment to change the power mode so that the second electronic equipment can record sound based on the recording request to obtain fourth audio data to be detected and transmit the fourth audio data to the first electronic equipment, wherein controlling the first electronic equipment to change the power mode comprises controlling the first electronic equipment to be powered off, restarted or dormant and awakened; receiving fourth audio data to be detected transmitted by the second electronic equipment; and analyzing and comparing the fourth to-be-detected audio data with the comparison audio of the power mode changing scene, and if the noise data of the fourth to-be-detected audio data does not fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, judging that the first electronic equipment has abnormal noise in the power mode changing scene. By the method, a user can send an abnormal sound detection instruction to the first electronic device to start the abnormal sound detection program when the user wants to determine whether the first electronic device has abnormal noise in a power mode changing scene, and the mode of starting the abnormal sound detection program comprises, but is not limited to, the mode that the user clicks a corresponding control on an interface of the first electronic device or the mode that the user controls the first electronic device to start the abnormal sound detection program through voice. Because the first electronic equipment needs to change the power mode and cannot record, the second electronic equipment needs to assist in operation, and the first electronic equipment is in communication connection with the second electronic equipment. Because the recording operation involves the privacy of the user, in order to improve the privacy security of the user, the second electronic device and the first electronic device are mutually trusted devices, and the first electronic device and the second electronic device are the same login account. And then after the second electronic device collects the fourth audio data to be detected of the first electronic device in the power mode changing scene, the fourth audio data to be detected of the first electronic device is analyzed and compared, and whether the first electronic device has abnormal noise in the power mode changing scene is determined.
Further, before sending a recording request to the second electronic device and controlling the first electronic device to change the power mode in response to the power mode change abnormal sound detection instruction of the user, the method further comprises: identifying a foreign sound detection instruction of a user;
and if the abnormal sound detection instruction of the user is identified as the power mode change abnormal sound detection instruction, executing a process of responding to the power mode change abnormal sound detection instruction of the user, sending a recording request to the second electronic equipment, controlling the first electronic equipment to change the power mode so as to enable the second electronic equipment to record based on the recording request to obtain fourth audio data to be detected, and transmitting the fourth audio data to be detected to the first electronic equipment.
Further, the noise data includes one or more of the following parameters: noise loudness, number of peaks after fast fourier transform, and effective bandwidth after fast fourier transform; analyzing and comparing the fourth to-be-detected audio data with the comparison audio of the power mode changing scene, and if the noise data of the fourth to-be-detected audio data does not fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, judging that abnormal noise exists in the first electronic equipment under the power mode changing scene: performing fast Fourier transform on the fourth audio data to be detected and obtaining frequency spectrum characteristic data of the fourth audio data to be detected; determining noise data of the fourth audio data to be detected according to the frequency spectrum characteristic data of the fourth audio data to be detected; and if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, determining that the first electronic equipment has abnormal noise.
Further, after determining that the first electronic device has abnormal noise, the method further includes: determining that the abnormal noise is steady-state noise or transient noise according to the frequency spectrum characteristic data of the audio data to be detected; if the abnormal noise is determined to be steady-state noise, triggering an audio output device of the first electronic equipment to perform corresponding noise reduction processing; and if the abnormal noise is determined to be transient noise, displaying prompt information for prompting a user to repair the first electronic equipment after the first electronic equipment is subjected to inspection and sale on a display interface of the first electronic equipment.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory, where the memory is configured to store at least one instruction, and the instruction is loaded and executed by the processor to implement the method for detecting abnormal sounds provided in the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the method for detecting abnormal sounds provided in the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application;
fig. 2 is a schematic diagram of an abnormal sound type of an electronic device according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for detecting abnormal sounds according to still another embodiment of the present application;
fig. 4 is a schematic diagram of a scenario of abnormal sound detection according to still another embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Fig. 1 shows a schematic configuration of an electronic device 100.
The electronic device 100 may include a processor 110, an internal memory 121, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, and a display 194.
It should be understood that the illustrated structure of the embodiment of the present application does not constitute a specific limitation on the electronic device 100. In other embodiments of the application, electronic device 100 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
The processor 110 may include one or more processing units, such as: the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.
The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.
A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.
The charge management module 140 is configured to receive a charge input from a charger. The charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charge management module 140 may be through a charging input of a wired charger. In some wireless charging embodiments, the charge management module 140 may receive wireless charging input through a wireless charging coil of the electronic device 100. The charging management module 140 may also supply power to the electronic device through the power management module 141 while charging the battery 142.
The power management module 141 is used for connecting the battery 142, and the charge management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charge management module 140 and provides power to the processor 110, the internal memory 121, the display 194, the wireless communication module 160, and the like. The power management module 141 may also be configured to monitor battery capacity, battery cycle number, battery health (leakage, impedance) and other parameters. In other embodiments, the power management module 141 may also be provided in the processor 110. In other embodiments, the power management module 141 and the charge management module 140 may be disposed in the same device.
The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, a modem processor, a baseband processor, and the like.
The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 100 may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.
The mobile communication module 150 may provide a solution for wireless communication including 2G/3G/4G/5G, etc., applied to the electronic device 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (low noise amplifier, LNA), etc. The mobile communication module 150 may receive electromagnetic waves from the antenna 1, perform processes such as filtering, amplifying, and the like on the received electromagnetic waves, and transmit the processed electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be provided in the same device as at least some of the modules of the processor 110.
The modem processor may include a modulator and a demodulator. The modulator is used for modulating the low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low frequency baseband signal to the baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs sound signals through an audio device (not limited to the speaker 170A, the receiver 170B, etc.), or displays images or video through the display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be provided in the same device as the mobile communication module 150 or other functional module, independent of the processor 110.
The wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wireless fidelity (wireless fidelity, wi-Fi) network), bluetooth (BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field wireless communication technology (near field communication, NFC), infrared technology (IR), etc., as applied to the electronic device 100. The wireless communication module 160 may be one or more devices that integrate at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, modulates the electromagnetic wave signals, filters the electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 2.
In some embodiments, antenna 1 and mobile communication module 150 of electronic device 100 are coupled, and antenna 2 and wireless communication module 160 are coupled, such that electronic device 100 may communicate with a network and other devices through wireless communication techniques. The wireless communication techniques may include the Global System for Mobile communications (global system for mobile communications, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC, FM, and/or IR techniques, among others. The GNSS may include a global satellite positioning system (global positioning system, GPS), a global navigation satellite system (global navigation satellite system, GLONASS), a beidou satellite navigation system (beidou navigation satellite system, BDS), a quasi zenith satellite system (quasi-zenith satellite system, QZSS) and/or a satellite based augmentation system (satellite based augmentation systems, SBAS).
The electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or change display information.
The display screen 194 is used to display images, videos, and the like. The display 194 includes a display panel. The display panel may employ a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED) or an active-matrix organic light-emitting diode (matrix organic light emitting diode), a flexible light-emitting diode (flex), a mini, a Micro led, a Micro-OLED, a quantum dot light-emitting diode (quantum dot light emitting diodes, QLED), or the like. In some embodiments, the electronic device 100 may include 1 or N display screens 194, N being a positive integer greater than 1.
The internal memory 121 may be used to store computer executable program code including instructions. The internal memory 121 may include a storage program area and a storage data area. The storage program area may store an application program (such as a sound playing function, an image playing function, etc.) required for at least one function of the operating system, etc. The storage data area may store data created during use of the electronic device 100 (e.g., audio data, phonebook, etc.), and so on. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (universal flash storage, UFS), and the like. The processor 110 performs various functional applications of the electronic device 100 and data processing by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor.
The electronic device 100 may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playing, recording, etc.
The audio module 170 is used to convert digital audio information into an analog audio signal output and also to convert an analog audio input into a digital audio signal. The audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be disposed in the processor 110, or a portion of the functional modules of the audio module 170 may be disposed in the processor 110.
The speaker 170A, also referred to as a "horn," is used to convert audio electrical signals into sound signals. The electronic device 100 may listen to music, or to hands-free conversations, through the speaker 170A.
A receiver 170B, also referred to as a "earpiece", is used to convert the audio electrical signal into a sound signal. When electronic device 100 is answering a telephone call or voice message, voice may be received by placing receiver 170B in close proximity to the human ear.
Microphone 170C, also referred to as a "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or transmitting voice information, the user can sound near the microphone 170C through the mouth, inputting a sound signal to the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, and may implement a noise reduction function in addition to collecting sound signals. In other embodiments, the electronic device 100 may also be provided with three, four, or more microphones 170C to enable collection of sound signals, noise reduction, identification of sound sources, directional recording functions, etc.
In the use process of the electronic device 100, if abnormal sound occurs, the use experience of the user is affected, and fig. 2 is a schematic diagram of the type of abnormal sound of the electronic device according to an embodiment of the present application, as shown in fig. 2, the abnormal sound of the electronic device 100 may include abnormal sound of a fan, abnormal sound of a motherboard, abnormal sound of a keyboard, abnormal sound of a speaker (not shown in the figure), and abnormal sound of a rotating shaft. Note that the type of abnormal sound shown in fig. 2 is merely an example, and other abnormal sounds of the electronic device 100 are not shown in the drawing. If the user uses the electronic device 100 and if the electronic device 100 is noisy, the user cannot hear whether the noise is abnormal noise according to the human ear, and if the user considers that the electronic device 100 is faulty, after-sales personnel need to check possible fault points one by one, and cannot provide corresponding noise-generating reference data for the after-sales personnel, and time and labor cost are required for checking.
In order to overcome the technical problems described above, an embodiment of the present application provides an abnormal sound detection method, by which, when an electronic device user considers that an abnormal sound fault exists in an electronic device 100, an abnormal sound fault of the electronic device 100 is detected in response to a user instruction to determine a health state of the electronic device 100, by which the user can perform abnormal sound fault detection on the electronic device 100 through autonomous operation, and when it is determined that the electronic device 100 does exist an abnormal sound fault, after the user sends the electronic device 100 to a sales office, an after-sales staff performs preliminary understanding on the faulty electronic device 100 according to a result that can perform the abnormal sound detection, thereby avoiding spending a great amount of time performing fault troubleshooting.
Fig. 3 is a flow chart of an abnormal sound detection method according to an embodiment of the present application, as shown in fig. 3, the method may include the following steps:
step 201: the first electronic equipment responds to a user instruction, creates a target scene, and records sound in the target scene to obtain audio data to be detected.
When the user considers that the first electronic device 100 (such as a notebook computer) used by the user has abnormal sound fault, a corresponding instruction can be sent to the first electronic device to start the abnormal sound detection flow. In one embodiment, the user may click on a corresponding control on the display interface of the first electronic device 100 to initiate the abnormal sound detection procedure. In another embodiment, the user may control the first electronic device 100 to initiate the abnormal sound detection procedure by voice. The manner of starting the abnormal sound detection procedure of the first electronic device 100 may be various, which is not limited herein.
After the abnormal sound detection program is started, an application scene of the first electronic device when abnormal sound occurs can be obtained, for example, the application scene may include: a fan operation scene, a speaker operation scene, or a first electronic device morphology change scene. It should be noted that, in the above example scenario provided by the first electronic device for one embodiment of the present application, other scenarios may also exist in other embodiments, which are not limited herein.
In order to create a target scene and record sound in the target scene to obtain audio data to be detected, the first electronic device can identify a foreign sound detection instruction of a user and determine an object which the user wants to detect. The abnormal sound detection instruction of the user can comprise a fan abnormal sound detection instruction, a loudspeaker abnormal sound detection instruction and an equipment target hardware abnormal sound detection instruction, further, the first electronic equipment receives the abnormal sound detection instruction of the user and then identifies the abnormal sound detection instruction, determines which of the instructions is the abnormal sound detection instruction, creates a corresponding target scene after the abnormal sound detection instruction is identified, and records under the target scene to obtain audio data to be detected.
And when the abnormal sound detection instruction of the user is identified, creating a corresponding target scene according to the identification result, and recording under the target scene to obtain audio data to be detected.
In one embodiment, the first electronic device recognizes that the abnormal sound detection instruction of the user is a fan abnormal sound detection instruction, and controls the fan of the first electronic device to rotate in a plurality of gears in response to the abnormal sound detection instruction of the user, and controls the microphone of the first electronic device to record first audio data to be detected in the process of rotating the fan in each gear.
In one embodiment, the first electronic device recognizes that the abnormal sound detection instruction of the user is a speaker abnormal sound detection instruction, and controls the first electronic device to play a set sound file in response to the speaker abnormal sound detection instruction of the user, and controls a microphone of the first electronic device to record and obtain second audio data to be detected in the process of playing the set sound file in the first electronic device, wherein the set sound file comprises a video file or an audio file.
In one embodiment, the first electronic device identifies that the abnormal sound detection instruction of the user is an abnormal sound detection instruction of the device target hardware, and controls the first electronic device to play a guiding video in response to the abnormal sound detection instruction of the device target hardware of the user, guides the user to operate the target hardware of the first electronic device within a set time, controls a microphone of the first electronic device to record a sound within the set time and obtain third audio data to be detected, and operates the target hardware of the first electronic device, including: rotating the rotating shaft of the first electronic device, knocking the keyboard of the first electronic device or clicking the touch pad of the first electronic device.
In the first electronic device target hardware abnormal sound detection scenario, the first electronic device needs to guide the user to perform corresponding operation to change the form of the first electronic device 100, so as to record the audio data to be detected in the form change process of the first electronic device. For example, when the user selects the first electronic device to perform abnormal sound detection in the scene of morphological change, the first electronic device 100 may be guided by the operation of the display interface, and specifically may prompt the user to open and close the top cover of the first electronic device 100 (such as a notebook computer), and record during this period to obtain audio data to be detected in the process of opening and closing the top cover of the notebook computer.
Step 202: the first electronic device analyzes and compares the audio data to be detected with the comparison audio of the target scene to determine whether abnormal noise exists in the audio data to be detected.
After the first electronic device obtains the audio data to be detected, the first electronic device may obtain noise data of the audio data to be detected, compare the noise data of the audio data to be detected with noise data of the comparison audio of the target scene, and determine whether the noise data of the audio data to be detected falls into a parameter range of the noise data of the comparison audio of the target scene. And if the noise data of the audio data to be detected does not fall into the parameter range of the noise data of the comparison audio of the target scene according to the comparison result, judging that the first electronic equipment has abnormal noise. In one embodiment, the noise data may include one or more of the following parameters: noise loudness, number of peaks after fast fourier transform (Fast Fourier Transform, FFT), effective bandwidth after FFT.
In one embodiment, the analytical alignment process includes: performing fast Fourier transform on the audio data to be detected and obtaining frequency spectrum characteristic data of the audio data to be detected; determining noise data of the audio data to be detected according to the frequency spectrum characteristic data of the audio data to be detected; and if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, determining that the first electronic equipment has abnormal noise. The noise data includes noise loudness, number of peaks after FFT and effective bandwidth after FFT, and if it is determined that the noise loudness, the number of peaks after FFT and the effective bandwidth after FFT in the noise data of the audio data to be detected do not fall into the parameter range of the noise data of the comparison audio of the target scene, it is determined that abnormal noise exists in the first electronic device.
In another embodiment, the analytical alignment process comprises: performing fast Fourier transform on the audio data to be detected and obtaining frequency spectrum characteristic data of the audio data to be detected; determining noise data of the audio data to be detected according to the frequency spectrum characteristic data of the audio data to be detected; and if any parameter of the noise data is determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, determining that the first electronic equipment has abnormal noise. The noise data includes noise loudness, number of peaks after FFT, and effective bandwidth after FFT, and if it is determined that the noise loudness in the noise data of the audio data to be detected does not fall within the noise loudness range of the noise data of the comparison audio of the target scene, it is determined that abnormal noise exists in the first electronic device.
It should be noted that, the first electronic device 100 may pre-store the comparison audio of each target scene, and the comparison audio noise data of each target scene.
In one embodiment, the first electronic device recognizes that the user's abnormal sound detection instruction is a fan abnormal sound detection instruction, and creates a fan operation scene, i.e., controls the fan of the first electronic device to rotate in a plurality of gear positions, in response to the user's fan abnormal sound detection instruction. And further controlling a microphone of the first electronic device to record first to-be-detected audio data in the process that the fan rotates in each gear, wherein the acquired first to-be-detected audio data comprises the first to-be-detected audio data-a high gear, the first to-be-detected audio data-a middle gear and the first to-be-detected audio data-a low gear. And comparing and analyzing the first audio data to be detected recorded in each gear with the comparison audio of the corresponding gear, thereby determining whether abnormal noise exists in the working scene of the fan of the first electronic equipment according to the analysis result. In an exemplary embodiment, the noise data of the first to-be-detected audio data of the "fan operating scene" includes a noise loudness, a number of peaks after FFT, and an effective bandwidth, and in the analysis comparison stage, the noise loudness of the first to-be-detected audio data-low gear may be compared with the noise loudness of the fan operating scene comparison audio to determine whether the noise loudness peak of the first to-be-detected audio data-low gear falls within the noise loudness range of the fan operating scene comparison audio. The noise loudness comprises average noise loudness and maximum noise loudness, the loudness threshold corresponding to the average noise loudness is a and the loudness threshold corresponding to the maximum noise loudness is b, and when the average noise loudness of the first audio data to be detected and the maximum noise loudness of the first audio data to be detected and the low gear are greater than a and b, it is determined that the noise loudness of the first audio data to be detected and the low gear does not fall into the noise loudness range of the fan working scene comparison audio. And in the analysis comparison stage, comparing the number of the FFT peaks of the first audio data to be detected-low gear with the number of the FFT peaks of the fan working scene comparison audio, and determining whether the number of the FFT peaks of the first audio data to be detected-low gear falls into the range of the number of the FFT peaks of the fan working scene comparison audio. When the number of the peaks after FFT of the first audio data to be detected-the low gear is larger than c, determining that the number of the peaks after FFT of the first audio data to be detected-the low gear does not fall into the range of the number of the peaks after FFT of the fan working scene comparison audio. And in the analysis comparison stage, comparing the FFT effective bandwidth of the first audio data to be detected-low gear with the FFT effective bandwidth of the fan working scene comparison audio, and determining whether the FFT effective bandwidth of the first audio data to be detected-low gear falls into the FFT effective bandwidth range of the fan working scene comparison audio. And when the effective bandwidth after FFT of the first audio data to be detected-the low gear is not more than d-e, determining that the effective bandwidth after FFT of the first audio data to be detected-the low gear does not fall into the effective bandwidth range after FFT of the fan working scene comparison audio. And if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, determining that the first electronic equipment has abnormal noise.
It should be noted that, the threshold values corresponding to the same noise parameter in different scenes are different, for example, the loudness threshold value a corresponding to the average noise loudness in the fan operation scene is different from the loudness threshold value b corresponding to the maximum noise loudness in the speaker operation scene. On the other hand, the threshold values corresponding to the same noise parameter under different conditions (power) in the same scene are also different, for example, the loudness threshold value a1 corresponding to the average noise loudness of the fan when rotating at a low gear in the fan working scene is different from the loudness threshold value a2 corresponding to the average noise loudness of the fan when rotating at a medium gear, and other noise parameters are the same and are not repeated.
It should be noted that, the first electronic device may pre-store all noise data corresponding to each working scenario in the health state into the database, including but not limited to all electrical noise and mechanical noise data such as fan noise data, board noise data, etc., where each noise data corresponds to a corresponding first electronic device working scenario.
As shown in fig. 3, in other embodiments, step 202 may further include step 203 or step 204, specifically, according to the detection result, if it is determined that no abnormal noise exists, step 203 is performed, and if it is determined that abnormal noise exists, step 204 is performed.
Step 203: the first electronic device prompts the user that no abnormal noise is detected.
After the detection of whether the abnormal noise exists, if the detection result is that the abnormal noise does not exist, the user can be prompted that the abnormal noise is not detected. For example, the detection result is displayed on a display interface popup of the first electronic device 100. Further, the user may be prompted whether to detect the abnormal noise in other scenes, and if the user selects to detect the abnormal noise in other scenes, the detection is performed based on the above operation, which is not described herein.
Step 204: the first electronic device determines whether the abnormal noise is a stationary noise, if not, step 205 is executed, and if so, step 206 is executed.
In the case of determining that the abnormal noise exists, it may be further determined that the existing abnormal noise is steady-state noise or transient noise. After the detection, if it is determined that the abnormal noise is not stationary noise (i.e., the abnormal noise is transient noise), step 205 is performed, and if it is stationary noise, step 206 is performed.
Step 205: the first electronic device prompts a user to send advice information for inspecting the first electronic device for after-market repair.
If it is determined that the abnormal noise is not steady-state noise according to the detection result, the first electronic device 100 may have a hardware abnormality, and the user may be prompted by the advice information for sending the first electronic device to the after-sale maintenance on the display interface of the first electronic device 100. And saves the detection data of this time to the first electronic device or transmits the detection data to a device connected to the first electronic device 100, such as the device 200 shown in fig. 4.
Step 206: triggering an audio output device connected with the first electronic equipment to perform noise reduction processing.
If the abnormal noise is determined to be the steady-state noise according to the detection result, the steady-state noise can correspondingly offset the abnormal steady-state noise existing in the abnormal noise in a noise reduction mode, so that the audio-visual experience of a user is improved. For example, noise suppression may be performed by the first electronic device product using a BOX device carried by itself or an additional full frequency unit BOX. The noise suppression method comprises the steps of scanning a certain scene through a noise detection program, determining whether the scene has noise or not, and starting a noise suppression function after judging that the scene is stable noise. The method can record the frequency domain characteristics and the time domain characteristics of the steady noise in the scene, repair abnormal sound by adopting an active noise reduction technology, and directionally inhibit noise by utilizing the full-frequency BOX. The noise suppression function is activated only after the abnormal sound is identified, the suppression function can interact with a user, parameters can be adjusted, and the noise suppression function can be switched to the first electronic equipment of the earphone to improve noise suppression precision.
It should be noted that, in some scenarios, the first electronic device 100 cannot perform the recording operation by itself, for example, if the abnormal sound scenario selected by the user is a "first electronic device on" scenario, after the abnormal sound scenario provided by the user is obtained by the first electronic device 100, the first electronic device 100 may send a recording request to other devices connected to the first electronic device 100, and after receiving the information of starting the recording program transmitted by the device, control the first electronic device 100 to restart.
The embodiment of the application also provides a method for detecting abnormal sound, which is applied to the first electronic equipment, wherein the first electronic equipment is in communication connection with the second electronic equipment, and the second electronic equipment at least has a recording function, and the method comprises the following steps: responding to a power mode change abnormal sound detection instruction of a user, sending a recording request to the second electronic equipment and controlling the first electronic equipment to change the power mode so that the second electronic equipment can record sound based on the recording request to obtain fourth audio data to be detected and transmit the fourth audio data to the first electronic equipment, wherein controlling the first electronic equipment to change the power mode comprises controlling the first electronic equipment to be powered off, restarted or dormant and awakened; receiving fourth audio data to be detected transmitted by the second electronic equipment; and analyzing and comparing the fourth to-be-detected audio data with the comparison audio of the power mode changing scene, and if the noise data of the fourth to-be-detected audio data does not fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, judging that the first electronic equipment has abnormal noise in the power mode changing scene.
Fig. 4 is a schematic view of a scenario of abnormal sound detection provided in another embodiment of the present application, as shown in fig. 4, the first electronic device is a notebook computer 100, the second electronic device is a mobile phone 200, a wireless communication connection is established between the notebook computer 100 and the mobile phone 200, and the notebook computer 100 and the mobile phone 200 are mutually trusted devices, after recognizing that an abnormal sound detection command of a user is a power mode change abnormal sound detection command, the notebook computer 100 responds to the power mode change abnormal sound detection command of the user, and can send a recording request to the mobile phone 200, and after receiving information of starting a recording program transmitted by the mobile phone 200, the notebook computer 100 changes the power mode of the notebook computer 100, and the exemplary power mode change abnormal sound detection command of the user is a computer restart scenario abnormal sound detection command, and the notebook computer 100 sends a recording request to the mobile phone 200 and restarts after receiving information of starting a recording program transmitted by the mobile phone 200. Further, the mobile phone 200 transmits the acquired record of the restart stage of the notebook computer 100 to the notebook computer 100. After the restart is completed, the notebook computer 100 may send information about the restart completion to the mobile phone 200 to trigger the mobile phone 200 to end recording, and transmit the audio data to be detected to the notebook computer 100, so that the notebook computer 100 performs abnormal sound detection on the recording device, and the specific detection mode is the same as the detection mode in the above embodiment, which is not described herein again. In other embodiments, the same detection program as that in the notebook computer 100 may be installed in the mobile phone 200, and after the mobile phone 200 completes recording, the mobile phone 200 side directly completes abnormal sound detection, and the detection result is transmitted to the notebook computer 100.
The embodiment of the application also provides electronic equipment, which can comprise a processor and a memory, wherein the memory is used for storing at least one instruction, and the instruction is loaded and executed by the processor to realize the abnormal sound detection method provided by any embodiment of the application.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the abnormal sound detection method provided by any embodiment of the application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the application.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.
Claims (11)
1. The abnormal sound detection method is applied to first electronic equipment and is characterized by comprising the following steps:
responding to a different sound detection instruction of a user, creating a target scene, and recording sound in the target scene to obtain audio data to be detected; and
and analyzing and comparing the audio data to be detected with the comparison audio of the target scene, and if the noise data of the audio data to be detected is determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, judging that the first electronic equipment has abnormal noise.
2. The method of claim 1, wherein creating a target scene in response to a user's abnormal sound detection instruction, and recording in the target scene to obtain audio data to be detected comprises:
responding to a fan abnormal sound detection instruction of a user, controlling a fan of the first electronic equipment to rotate in a plurality of gears, and controlling a microphone of the first electronic equipment to record first audio data to be detected in the process of rotating the fan in each gear;
wherein, a plurality of gear corresponds the multiple rotational speed of fan.
3. The method of claim 1, wherein creating a target scene in response to a user's abnormal sound detection instruction, and recording in the target scene to obtain audio data to be detected comprises:
responding to a speaker abnormal sound detection instruction of a user, controlling the first electronic equipment to play a set sound file, and controlling a microphone of the first electronic equipment to record in the process of playing the set sound file by the first electronic equipment and obtain second audio data to be detected;
wherein the setting sound file comprises a video file or an audio file.
4. The method of claim 1, wherein creating a target scene in response to a user's abnormal sound detection instruction, and recording in the target scene to obtain audio data to be detected comprises:
responding to an equipment target hardware abnormal sound detection instruction of a user, controlling the first electronic equipment to play a guide video, guiding the user to operate target hardware of the first electronic equipment within a set time, and controlling a microphone of the first electronic equipment to record within the set time and obtain third audio data to be detected;
wherein the operating the target hardware of the first electronic device includes: rotating the rotating shaft of the first electronic device, knocking the keyboard of the first electronic device or clicking the touch pad of the first electronic device.
5. The method of claim 1, wherein the creating a target scene in response to the user's abnormal sound detection instruction and before recording in the target scene to obtain the audio data to be detected, further comprises:
identifying a foreign sound detection instruction of a user;
if the abnormal sound detection instruction of the user is identified as the abnormal sound detection instruction of the non-power mode change, executing the process of responding to the abnormal sound detection instruction of the user, creating a target scene, and recording under the target scene to obtain the audio data to be detected.
6. The method of any of claims 1-5, wherein the noise data comprises one or more of the following parameters: noise loudness, number of peaks after fast fourier transform, and effective bandwidth after fast fourier transform;
analyzing and comparing the audio data to be detected with the comparison audio of the target scene, and determining that the noise data of the audio data to be detected does not fall into the parameter range of the noise data of the comparison audio of the target scene, wherein determining that the first electronic device has abnormal noise comprises:
performing fast Fourier transform on the audio data to be detected and obtaining frequency spectrum characteristic data of the audio data to be detected;
determining the noise data of the audio data to be detected according to the frequency spectrum characteristic data of the audio data to be detected;
and if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the target scene, determining that the first electronic equipment has abnormal noise.
7. The method of claim 6, wherein after determining that the first electronic device has abnormal noise, further comprising:
determining whether the abnormal noise is steady-state noise or transient noise according to the frequency spectrum characteristic data of the audio data to be detected;
If the abnormal noise is determined to be steady-state noise, triggering an audio output device of the first electronic equipment to perform corresponding noise reduction processing;
and if the abnormal noise is determined to be transient noise, displaying prompt information for prompting a user to repair the first electronic equipment after the first electronic equipment is subjected to inspection and sale on a display interface of the first electronic equipment.
8. The abnormal sound detection method is applied to first electronic equipment, the first electronic equipment is in communication connection with second electronic equipment, and the second electronic equipment has at least a sound recording function, and is characterized by comprising the following steps:
responding to a power mode change abnormal sound detection instruction of a user, sending a recording request to the second electronic equipment and controlling the first electronic equipment to change the power mode so that the second electronic equipment can record sound based on the recording request to obtain fourth audio data to be detected and transmit the fourth audio data to the first electronic equipment, wherein controlling the first electronic equipment to change the power mode comprises controlling the first electronic equipment to be powered off, restarted or dormant and awakened;
receiving the fourth audio data to be detected transmitted by the second electronic equipment;
Analyzing and comparing the fourth to-be-detected audio data with the comparison audio of the power mode changing scene, and if the noise data of the fourth to-be-detected audio data is determined not to fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, judging that abnormal noise exists in the first electronic equipment in the power mode changing scene.
9. The method of claim 8, wherein the noise data comprises one or more of the following parameters: noise loudness, number of peaks after fast fourier transform, and effective bandwidth after fast fourier transform;
analyzing and comparing the fourth audio data to be detected with the comparison audio of the power mode changing scene, and if the noise data of the fourth audio data to be detected is determined not to fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, judging that abnormal noise exists in the first electronic equipment under the power mode changing scene:
performing fast Fourier transform on the fourth audio data to be detected and obtaining frequency spectrum characteristic data of the fourth audio data to be detected;
determining the noise data of the fourth audio data to be detected according to the frequency spectrum characteristic data of the fourth audio data to be detected;
And if all the parameters of the noise data are determined not to fall into the parameter range of the noise data of the comparison audio of the power mode changing scene, determining that the first electronic equipment has abnormal noise.
10. An electronic device, the electronic device comprising:
a processor and a memory for storing at least one instruction that when loaded and executed by the processor implements the method of alien detection as claimed in any one of claims 1 to 9.
11. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the abnormal sound detection method according to any one of claims 1-9.
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| PCT/CN2023/070592 WO2023207219A1 (en) | 2022-04-26 | 2023-01-05 | Abnormal sound test method, electronic device and storage medium |
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| JP2016007800A (en) * | 2014-06-25 | 2016-01-18 | 株式会社リコー | Abnormality detection system, electronic apparatus, abnormality detection method, and program |
| CN105698919B (en) * | 2016-01-25 | 2019-03-08 | 邯郸美的制冷设备有限公司 | Air conditioner indoor unit abnormal sound detection method and device |
| JP2019144187A (en) * | 2018-02-23 | 2019-08-29 | パナソニックＩｐマネジメント株式会社 | Diagnosing method, diagnosing device, and diagnosing program |
| CN109040940A (en) * | 2018-09-20 | 2018-12-18 | 歌尔股份有限公司 | A kind of detection method and device of loudspeaker |
| CN110493691A (en) * | 2019-08-23 | 2019-11-22 | Oppo广东移动通信有限公司 | Abnormal sound detection method, device and electronic equipment |
| CN113074967B (en) * | 2020-01-06 | 2022-12-16 | 北京谛声科技有限责任公司 | Abnormal sound detection method and device, storage medium and electronic equipment |
| CN111182435B (en) * | 2020-01-13 | 2021-11-09 | 北京小米松果电子有限公司 | Testing method and device of voice equipment |
| CN113129917A (en) * | 2020-01-15 | 2021-07-16 | 荣耀终端有限公司 | Speech processing method based on scene recognition, and apparatus, medium, and system thereof |
| CN113837984A (en) * | 2020-06-24 | 2021-12-24 | 华为技术有限公司 | Playback abnormality detection method, electronic device, and computer-readable storage medium |
| CN112233692A (en) * | 2020-09-28 | 2021-01-15 | 东莞市东纳通信有限公司 | Abnormal sound detection method and device, electronic equipment and storage medium |
| CN114004996A (en) * | 2021-10-29 | 2022-02-01 | 北京百度网讯科技有限公司 | Abnormal sound detection method, abnormal sound detection device, electronic equipment and medium |
| CN113838480B (en) * | 2021-11-26 | 2022-03-11 | 青岛海尔工业智能研究院有限公司 | Washing machine abnormal sound detection method and device and electronic equipment |
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