CN110572764A - Remote fault diagnosis method and device for vehicle-mounted audio equipment - Google Patents
Remote fault diagnosis method and device for vehicle-mounted audio equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
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- H04R29/001—Monitoring arrangements; Testing arrangements for loudspeakers
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Abstract
The embodiment of the application provides a remote fault diagnosis method and a remote fault diagnosis device for vehicle-mounted audio equipment, wherein the method comprises the following steps: receiving a fault detection instruction sent by a server, and playing a preset detection audio through a loudspeaker; receiving and storing the preset detection audio through a microphone; equipment fault detection is carried out according to the preset detection audio and the preset fault audio element, and an equipment fault detection result is sent to the server; the method and the device can quickly, accurately and effectively judge whether the vehicle-mounted audio equipment breaks down, are low in cost and immediate in feedback, and have operability of batch detection.
Description
Technical Field
The application relates to the field of fault diagnosis, in particular to a remote fault diagnosis method and device for vehicle-mounted audio equipment.
Background
For an active safety system in a vehicle, the speaker function is a very important functional component. The risk event needs to remind the driver through the sounding of the loudspeaker, and once the loudspeaker is poor, the equipment cannot achieve risk prompt, so that the accident rate is reduced. The vehicle-mounted environment is often in severe environments such as long-term high temperature, bumping, sand wind and the like, and the loudspeaker is easy to work abnormally and even damaged. Therefore, the key for ensuring the effective operation of the equipment is that the function of the loudspeaker of the vehicle-mounted active safety system can be effectively checked regularly.
the inventor finds that in the prior art, a manual on-site inspection mode is adopted, vehicles are usually in a running state for equipment which is installed in large quantities, the quantity of the equipment is large, the distribution is dispersed, most of the equipment is in motion, and for inspection, the manpower input is large, the efficiency is low, the speed is low, the economic benefit is low, and the batch operability is not realized.
disclosure of Invention
the method and the device for remote fault diagnosis of the vehicle-mounted audio equipment can quickly, accurately and effectively judge whether the vehicle-mounted audio equipment has faults or not, are low in cost and immediate in feedback, and have operability of batch detection.
In order to solve at least one of the above problems, the present application provides the following technical solutions:
In a first aspect, the present application provides a remote fault diagnosis method for a vehicle-mounted audio device, including:
Receiving a fault detection instruction sent by a server, and playing a preset detection audio through a loudspeaker;
Receiving and storing the preset detection audio through a microphone;
And carrying out equipment fault detection according to the preset detection audio and the preset fault audio element, and sending an equipment fault detection result to the server.
Further, the detecting the equipment fault according to the preset detection audio and the preset fault audio element includes:
judging whether the characteristic information of the preset detection audio meets a preset fault condition or not;
if so, judging that the equipment fault detection result is equipment fault, otherwise, judging that the equipment fault detection result is normal.
further, the determining whether the feature information of the preset detection audio meets a preset fault condition includes:
Extracting the frequency characteristic and the loudness characteristic of the preset detection audio;
And judging whether the frequency characteristic and the loudness characteristic are in a preset equipment normal frequency range and a preset equipment normal loudness range.
further, the extracting the frequency characteristic and the loudness characteristic of the preset detection audio includes:
and performing feature extraction on the preset detection audio according to a set sampling interval.
in a second aspect, the present application provides a remote fault diagnosis apparatus for an in-vehicle audio device, including:
the audio playing module is used for receiving the fault detection instruction sent by the server and playing preset detection audio through a loudspeaker;
the audio acquisition module is used for receiving and storing the preset detection audio through a microphone;
And the audio analysis module is used for carrying out equipment fault detection according to the preset detection audio and the preset fault audio element and sending an equipment fault detection result to the server.
further, the audio analysis module includes:
The characteristic judgment unit is used for judging whether the characteristic information of the preset detection audio accords with a preset fault condition or not;
and the judgment result unit is used for judging that the equipment fault detection result is equipment fault when judging that the characteristic information of the preset detection audio accords with the preset fault condition, and otherwise, judging that the equipment fault detection result is normal.
Further, the feature determination unit includes:
The characteristic extraction subunit is used for extracting the frequency characteristic and the loudness characteristic of the preset detection audio;
and the frequency loudness judging subunit is used for judging whether the frequency characteristic and the loudness characteristic are in a preset equipment normal frequency range and a preset equipment normal loudness range.
Further, the feature extraction subunit includes:
and the interval sampling subunit is used for carrying out feature extraction on the preset detection audio according to a set sampling interval.
In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method for remote fault diagnosis of a car audio device when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the in-vehicle audio apparatus remote failure diagnosis method.
according to the technical scheme, the remote fault diagnosis method and the remote fault diagnosis device for the vehicle-mounted audio equipment receive the fault detection instruction sent by the server through the far-field communication module arranged on the vehicle-mounted audio equipment, play the preset detection audio through the loudspeaker, receive the preset detection audio through the microphone and store the preset detection audio, and carry out equipment fault detection according to the preset detection audio and the preset fault audio element and send the equipment fault detection result to the server.
Drawings
in order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
fig. 1 is one of the flow diagrams of a remote fault diagnosis method for an in-vehicle audio device according to an embodiment of the present application;
FIG. 2 is a second flowchart of a remote fault diagnosis method for a car audio device according to an embodiment of the present application;
fig. 3 is a third schematic flowchart of a remote fault diagnosis method for a car audio device in an embodiment of the present application;
fig. 4 is one of the structural diagrams of the remote failure diagnosis apparatus for the car audio equipment in the embodiment of the present application;
fig. 5 is a second block diagram of the remote failure diagnosis apparatus for the car audio equipment in the embodiment of the present application;
fig. 6 is a third structural diagram of a remote failure diagnosis apparatus for a car audio device in an embodiment of the present application;
fig. 7 is a fourth structural diagram of a remote failure diagnosis apparatus for a car audio device in an embodiment of the present application;
Fig. 8 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
in order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Considering that in the prior art, manual on-site troubleshooting is adopted, vehicles are usually in a running state for equipment which is installed in large quantities, the quantity of the equipment is large, the distribution is dispersed, most of the equipment is in motion, the manpower input is large for troubleshooting, the efficiency is low, the speed is low, the economic benefit is low, and the problem of no batch operability is solved, the remote fault diagnosis method and the remote fault diagnosis device for the vehicle-mounted audio equipment are provided, a fault detection instruction sent by a server is received through a far-field communication module arranged on the vehicle-mounted audio equipment, a preset detection audio frequency is played through a loudspeaker, then the preset detection audio frequency is received through a microphone and stored, the equipment fault detection is carried out according to the preset detection audio frequency and a preset fault audio frequency element, and an equipment fault detection result is sent to the server, and the vehicle-mounted audio equipment does not need to be manually debugged on-site, particularly, when a plurality of vehicles are in different areas or are in a running state, the remote fault diagnosis method can be used for diagnosing faults in batch and in real time, is high in efficiency and can be operated in batch.
In order to quickly, accurately and effectively judge whether the vehicle-mounted audio equipment has a fault, and the method is low in cost, immediate in feedback and operable in batch detection, the application provides an embodiment of a remote fault diagnosis method for the vehicle-mounted audio equipment, and referring to fig. 1, the remote fault diagnosis method for the vehicle-mounted audio equipment specifically includes the following contents:
step S101: and receiving a fault detection instruction sent by the server, and playing a preset detection audio through a loudspeaker.
It can be understood that the vehicle-mounted audio device may be provided with an existing far-field communication module, such as a 4G communication module, and suggest a corresponding association relationship with the server, and when the server sends a fault detection instruction, all vehicle-mounted audio devices having an association relationship with the server (i.e., all vehicles mounted with the vehicle-mounted audio device) may perform fault detection immediately.
Optionally, the speaker may be an existing speaker module, and is configured to play a pre-stored detection audio file, for example, a "1 KHz-5KHz 0dB sweep frequency sound source", where the application does not specifically limit the preset detection audio, and the speaker may be configured to play an audio file with a set frequency and loudness.
Step S102: and receiving and storing the preset detection audio through a microphone.
Optionally, the preset detection audio may be recorded and saved synchronously through an existing microphone module.
Step S103: and carrying out equipment fault detection according to the preset detection audio and the preset fault audio element, and sending an equipment fault detection result to the server.
it can be understood that, since the preset detection audio has the characteristics of set frequency, loudness and the like, fault detection can be performed accordingly, that is, whether the frequency, loudness or other characteristics of the preset detection audio recorded by the microphone are consistent with the preset threshold value is determined, so as to determine whether the speaker is abnormal in operation.
It can be known from the above description that the remote fault diagnosis method for the vehicle-mounted audio equipment provided by the embodiment of the application can receive the fault detection instruction sent by the server through the far-field communication module arranged on the vehicle-mounted audio equipment, play the preset detection audio through the loudspeaker, and then receive the preset detection audio through the microphone and store the preset detection audio, and according to the preset detection audio and the preset fault audio element, the fault detection result of the equipment is sent to the server.
in order to accurately analyze the acquired preset detection audio, in an embodiment of the remote fault diagnosis method for the vehicle-mounted audio device, referring to fig. 2, the method further includes the following steps:
Step S201: and judging whether the characteristic information of the preset detection audio meets a preset fault condition or not.
step S202: if so, judging that the equipment fault detection result is equipment fault, otherwise, judging that the equipment fault detection result is normal.
It can be understood that, since the preset detection audio has the characteristics of set frequency, loudness and the like, fault detection can be performed accordingly, that is, whether the frequency, loudness or other characteristics of the preset detection audio recorded by the microphone are consistent with the preset threshold value is determined, so as to determine whether the speaker is abnormal in operation.
In an example, if the frequency of the preset detection audio is within a preset threshold range, it may be determined that the speaker is working normally, otherwise, it is determined that the speaker is working in a failure.
In order to further and accurately analyze the frequency and loudness of the collected preset detection audio, in an embodiment of the remote fault diagnosis method for the vehicle-mounted audio device, referring to fig. 3, the following contents are further specifically included:
step S301: and extracting the frequency characteristic and the loudness characteristic of the preset detection audio.
Step S302: and judging whether the frequency characteristic and the loudness characteristic are in a preset equipment normal frequency range and a preset equipment normal loudness range.
it is understood that the present application may also perform fault detection according to other audio characteristics of the preset detection audio in addition to the frequency characteristic and the loudness characteristic.
optionally, both the preset device normal frequency range and the preset device normal loudness range may be pre-stored locally in the device of the present application; in another embodiment of the present application, the preset device normal frequency range and the preset device normal loudness range may also be downloaded from the server for the numerical comparison.
In order to further and accurately analyze the frequency and loudness of the collected preset detection audio, in an embodiment of the vehicle-mounted audio device remote fault diagnosis method, the method further includes the following steps: and performing feature extraction on the preset detection audio according to a set sampling interval.
Optionally, after the recording is completed, the hardware device samples the received sound source according to the set sampling points (for example, one sampling point every 500 Hz), and performs frequency response analysis. And the processing program compares whether the frequency of the audio data of the sound recording file at each sampling time point is in a set frequency range and whether the loudness of the audio data at each sampling time point is in a set loudness range. If the two are all matched, the test result is PASS, otherwise FAIL.
in order to quickly, accurately and effectively judge whether the vehicle-mounted audio equipment has a fault, and the method is low in cost, immediate in feedback and operable in batch detection, the application provides an embodiment of a vehicle-mounted audio equipment remote fault diagnosis device for implementing all or part of the contents of the vehicle-mounted audio equipment remote fault diagnosis method, and referring to fig. 4, the vehicle-mounted audio equipment remote fault diagnosis device specifically includes the following contents:
And the audio playing module 10 is configured to receive a fault detection instruction sent by the server, and play a preset detection audio through the speaker.
and the audio acquisition module 20 is configured to receive the preset detection audio through a microphone and store the preset detection audio.
And the audio analysis module 30 is configured to perform equipment fault detection according to the preset detection audio and the preset fault audio element, and send an equipment fault detection result to the server.
It can be known from the above description that the remote fault diagnosis device for the vehicle-mounted audio equipment provided by the embodiment of the application can receive the fault detection instruction sent by the server through the far-field communication module arranged on the vehicle-mounted audio equipment, play the preset detection audio through the loudspeaker, and then receive the preset detection audio through the microphone and store the preset detection audio, and according to the preset detection audio and the preset fault audio element, the fault detection result of the equipment is sent to the server.
In order to accurately analyze the acquired preset detection audio, in an embodiment of the remote fault diagnosis apparatus for an in-vehicle audio device of the present application, referring to fig. 5, the audio analysis module 30 includes:
A feature determining unit 31, configured to determine whether feature information of the preset detection audio meets a preset fault condition.
And a judgment result unit 32, configured to judge that the device fault detection result is a device fault when it is judged that the feature information of the preset detection audio meets a preset fault condition, and otherwise judge that the device fault detection result is that the device is normal.
in order to further accurately analyze the frequency and loudness of the acquired preset detection audio, in an embodiment of the remote fault diagnosis apparatus for vehicle audio equipment according to the present application, referring to fig. 6, the characteristic determination unit 31 includes:
And the feature extraction subunit 311 is configured to extract a frequency feature and a loudness feature of the preset detection audio.
And a frequency loudness judging subunit 312, configured to judge whether the frequency feature and the loudness feature are within a preset device normal frequency range and a preset device normal loudness range.
In order to further accurately analyze the frequency and loudness of the acquired preset detection audio, in an embodiment of the remote fault diagnosis apparatus for vehicle audio equipment of the present application, referring to fig. 7, the feature extraction subunit 311 includes:
an interval sampling subunit 3111, configured to perform feature extraction on the preset detection audio according to a set sampling interval.
In order to further explain the present solution, the present application further provides a specific application example of the method for implementing remote fault diagnosis of the vehicle-mounted audio device by using the above remote fault diagnosis apparatus for the vehicle-mounted audio device, which specifically includes the following contents:
(1) And (3) issuing an instruction: the operation platform periodically and automatically issues the loudspeaker detection instructions in batches or manually issues the loudspeaker detection instructions, and the equipment enters a loudspeaker detection mode after receiving the instructions.
(2) data acquisition: and the equipment end controls and starts the loudspeaker and the high-fidelity microphone. The loudspeaker plays sound sources (for example, 1KHz-5KHz 0dB sweep frequency sound sources) according to set sound volume, and the high-fidelity microphone synchronously records and stores sound.
(3) And (3) data analysis: after the recording is finished, the hardware device samples the received sound source according to the sampling points according to the set sampling points (for example, one sampling point every 500 Hz), and performs frequency response analysis. And the processing program compares whether the frequency of the audio data of the sound recording file at each sampling time point is in a set frequency range and whether the loudness of the audio data at each sampling time point is in a set loudness range. If the two are all matched, the test result is PASS, otherwise FAIL.
(4) And reporting a result: and after the test result is obtained, reporting the test result, the recording file and the data to the operation platform through 4G, and ordering a maintenance work order according to the result by the operation platform.
as can be seen from the above, the present application can also achieve the following technical effects:
1. The automatic test system has the advantages of no need of manual intervention, full-automatic mass test, extremely high efficiency, and capability of testing whether the vehicle is on the road or not. In contrast, manual detection is inefficient and requires multiple visits for only one customer (the vehicles are not all present at the same time).
2. The detection is accurate, the closed-loop processing is realized, relatively speaking, the manual test result is related to the responsibility of the personnel at home, and the automatic judgment of the equipment is more helpful for fool-proofing and ensuring the formality of the troubleshooting result.
3. the method can be applied to similar electronic products supporting 4G networks and provided with loudspeakers and microphones outside the vehicle-mounted industry, and is wide in application range and easy to transplant.
an embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the remote fault diagnosis method for a vehicle-mounted audio device in the foregoing embodiment, and with reference to fig. 8, the electronic device specifically includes the following contents:
A processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a bus 604;
the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for realizing information transmission among a remote fault diagnosis device of the vehicle-mounted audio equipment, an online service system, client equipment and other participating mechanisms;
the processor 601 is configured to call a computer program in the memory 602, and the processor executes the computer program to implement all the steps in the remote fault diagnosis method for the car audio device in the foregoing embodiment, for example, when the processor executes the computer program, the processor implements the following steps:
step S101: and receiving a fault detection instruction sent by the server, and playing a preset detection audio through a loudspeaker.
Step S102: and receiving and storing the preset detection audio through a microphone.
Step S103: and carrying out equipment fault detection according to the preset detection audio and the preset fault audio element, and sending an equipment fault detection result to the server.
It can be known from the above description that the electronic equipment that this application embodiment provided can receive the fault detection instruction that the server sent through the far field communication module that sets up on-vehicle audio equipment to play through the speaker and predetermine the detection audio frequency, then receive through the microphone predetermine the detection audio frequency and save, according to predetermine the detection audio frequency and predetermine the fault audio frequency factor and carry out equipment fault detection, and send equipment fault detection result to the server, this application need not artifical on-the-spot investigation on-vehicle audio equipment, and especially when being in different regions or being in the driving state to many vehicles, the remote fault diagnosis method of this application can be in batches, instant carry out fault diagnosis, and efficiency is higher and can operate in batches.
An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the vehicle-mounted audio device remote fault diagnosis method in the foregoing embodiment, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements all the steps of the vehicle-mounted audio device remote fault diagnosis method in the foregoing embodiment, for example, the processor implements the following steps when executing the computer program:
Step S101: and receiving a fault detection instruction sent by the server, and playing a preset detection audio through a loudspeaker.
Step S102: and receiving and storing the preset detection audio through a microphone.
Step S103: and carrying out equipment fault detection according to the preset detection audio and the preset fault audio element, and sending an equipment fault detection result to the server.
It can be known from the above description that the computer readable storage medium that this application embodiment provided can receive the fault detection instruction that the server sent through the far field communication module that sets up on-vehicle audio equipment to play through the speaker and predetermine the detection audio frequency, then receive through the microphone predetermine the detection audio frequency and save, according to predetermine the detection audio frequency and predetermine the fault audio frequency factor and carry out equipment fault detection, and send equipment fault detection result to the server, this application need not artifical on-the-spot investigation on-vehicle audio equipment, and especially when being in different regions or being in the driving state to many vehicles, the remote fault diagnosis method of this application can be in batches, instant carry out fault diagnosis, and efficiency is higher and can operate in batches.
the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
the foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on conventional or non-inventive efforts. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
the embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.
Claims (10)
1. A remote fault diagnosis method for a vehicle-mounted audio device is characterized by comprising the following steps:
Receiving a fault detection instruction sent by a server, and playing a preset detection audio through a loudspeaker;
Receiving and storing the preset detection audio through a microphone;
and carrying out equipment fault detection according to the preset detection audio and the preset fault audio element, and sending an equipment fault detection result to the server.
2. The remote fault diagnosis method for the vehicle-mounted audio equipment according to claim 1, wherein the equipment fault detection according to the preset detection audio and the preset fault audio element comprises:
Judging whether the characteristic information of the preset detection audio meets a preset fault condition or not;
If so, judging that the equipment fault detection result is equipment fault, otherwise, judging that the equipment fault detection result is normal.
3. The remote fault diagnosis method for the vehicle-mounted audio equipment according to claim 2, wherein the step of judging whether the characteristic information of the preset detection audio meets a preset fault condition comprises the steps of:
Extracting the frequency characteristic and the loudness characteristic of the preset detection audio;
And judging whether the frequency characteristic and the loudness characteristic are in a preset equipment normal frequency range and a preset equipment normal loudness range.
4. the remote fault diagnosis method for the vehicle-mounted audio equipment according to claim 3, wherein the extracting of the frequency characteristic and the loudness characteristic of the preset detection audio includes:
And performing feature extraction on the preset detection audio according to a set sampling interval.
5. A remote failure diagnosis apparatus for an in-vehicle audio device, comprising:
The audio playing module is used for receiving the fault detection instruction sent by the server and playing preset detection audio through a loudspeaker;
The audio acquisition module is used for receiving and storing the preset detection audio through a microphone;
and the audio analysis module is used for carrying out equipment fault detection according to the preset detection audio and the preset fault audio element and sending an equipment fault detection result to the server.
6. the remote failure diagnosis apparatus for vehicle audio equipment according to claim 5, wherein the audio analysis module comprises:
The characteristic judgment unit is used for judging whether the characteristic information of the preset detection audio accords with a preset fault condition or not;
And the judgment result unit is used for judging that the equipment fault detection result is equipment fault when judging that the characteristic information of the preset detection audio accords with the preset fault condition, and otherwise, judging that the equipment fault detection result is normal.
7. the remote failure diagnosis apparatus for an in-vehicle audio device according to claim 6, wherein the characteristic judgment unit includes:
The characteristic extraction subunit is used for extracting the frequency characteristic and the loudness characteristic of the preset detection audio;
and the frequency loudness judging subunit is used for judging whether the frequency characteristic and the loudness characteristic are in a preset equipment normal frequency range and a preset equipment normal loudness range.
8. The remote failure diagnosis apparatus for an in-vehicle audio device according to claim 7, wherein the feature extraction subunit includes:
and the interval sampling subunit is used for carrying out feature extraction on the preset detection audio according to a set sampling interval.
9. an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method for remote fault diagnosis of a car audio device according to any one of claims 1 to 4 are implemented when the processor executes the program.
10. a computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of the remote failure diagnosis method for an in-vehicle audio apparatus according to any one of claims 1 to 4.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910887723.0A CN110572764A (en) | 2019-09-19 | 2019-09-19 | Remote fault diagnosis method and device for vehicle-mounted audio equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910887723.0A CN110572764A (en) | 2019-09-19 | 2019-09-19 | Remote fault diagnosis method and device for vehicle-mounted audio equipment |
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| CN110572764A true CN110572764A (en) | 2019-12-13 |
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| CN111741489A (en) * | 2020-06-09 | 2020-10-02 | 福耀玻璃工业集团股份有限公司 | OBU fault detection method, OBU device and OBU fault detection system |
| CN112349337A (en) * | 2020-11-03 | 2021-02-09 | 中科创达软件股份有限公司 | Vehicle-mounted machine detection method, system, electronic equipment and storage medium |
| CN113542372A (en) * | 2021-06-29 | 2021-10-22 | 上海小鹏汽车科技有限公司 | Data processing method and device |
| CN113942461A (en) * | 2021-10-22 | 2022-01-18 | 广州小鹏汽车科技有限公司 | Fault detection method, device and readable storage medium |
| CN114040312A (en) * | 2021-11-29 | 2022-02-11 | 四川虹美智能科技有限公司 | Microphone detection method and system of voice air conditioner |
| CN114640939A (en) * | 2020-12-16 | 2022-06-17 | 惠州比亚迪电子有限公司 | Detection method, device and system of audio playing device and storage medium |
| CN115086854A (en) * | 2022-06-29 | 2022-09-20 | 珠海格力电器股份有限公司 | Voice equipment and microphone fault self-checking method and device thereof, and storage medium |
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| CN111741489A (en) * | 2020-06-09 | 2020-10-02 | 福耀玻璃工业集团股份有限公司 | OBU fault detection method, OBU device and OBU fault detection system |
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| CN114040312A (en) * | 2021-11-29 | 2022-02-11 | 四川虹美智能科技有限公司 | Microphone detection method and system of voice air conditioner |
| CN114040312B (en) * | 2021-11-29 | 2023-08-22 | 四川虹美智能科技有限公司 | Microphone detection method and system of voice air conditioner |
| CN115086854A (en) * | 2022-06-29 | 2022-09-20 | 珠海格力电器股份有限公司 | Voice equipment and microphone fault self-checking method and device thereof, and storage medium |
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Application publication date: 20191213 |