Vehicle-mounted multimedia audio silent detection equipment

Abstract

The invention discloses a vehicle-mounted multimedia audio silent detection device, which comprises a multimedia host for providing a plurality of audio related signal points; the device comprises an audio detection box, an integrated signal change-over switch, a single-chip microcomputer, a power supply IC, a cigarette lighter and a serial port connector. Wherein the signal change-over switch is connected with a plurality of signal points of the multimedia host and is used for polling and collecting the voltage of each signal point; the single-chip microcomputer is connected with the signal change-over switch and is used for carrying out analog-to-digital conversion on the collected voltage of each signal point and carrying out diagnostic analysis. The serial port connector is connected with the single-chip microcomputer and used for outputting a diagnosis result to an external computer. The power supply IC is connected with the cigarette lighter and supplies power to the signal change-over switch and the single-chip microcomputer. Through non-intrusive design, automatic signal acquisition, intelligent threshold analysis and real-time data transmission, rapid positioning (without disassembly) of a vehicle-mounted multimedia audio silent fault is realized, the maintenance efficiency is greatly improved, and the vehicle-mounted audio silent fault positioning device adapts to variable vehicle-mounted environments.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of multimedia audio mute detection of car head unit and intelligent cockpit, and particularly relates to a vehicle-mounted multimedia audio mute detection device. BACKGROUND

[0002] There is no similar product on the market. The existing vehicle-mounted audio fault diagnosis needs to disassemble the multimedia host, which is complicated and time-consuming. Especially in the scenarios of automobile assembly workshop, service station or end user, it is difficult to quickly locate the mute reason (such as signal link interruption or speaker failure), resulting in low maintenance efficiency. SUMMARY

[0003] In view of the technical defects and technical disadvantages in the prior art, the embodiments of the present application provide a vehicle-mounted multimedia audio mute detection device which overcomes the above problems or at least partially solves the above problems, and the specific scheme is as follows:

[0004] A vehicle-mounted multimedia audio mute detection device comprises:

[0005] A multimedia host provides a plurality of audio-related signal points;

[0006] An audio detection box integrates a signal switching switch, a single-chip microcomputer, a power IC, a cigarette lighter and a serial port connector;

[0007] The signal switching switch is connected to the plurality of signal points of the multimedia host and is used to poll and collect the voltages of the signal points;

[0008] The single-chip microcomputer is connected to the signal switching switch and is used to perform analog-to-digital conversion on the collected voltages of the signal points and perform diagnostic analysis;

[0009] The serial port connector is connected to the single-chip microcomputer and is used to output the diagnostic results to an external computer;

[0010] The power IC is connected to the cigarette lighter and supplies power to the signal switching switch and the single-chip microcomputer.

[0011] Further, the signal switching switch is a multi-channel analog switch and is configured to collect the plurality of audio-related signal points of the multimedia host in turn according to a preset polling period; the signal points include an audio processor output end, a digital signal processor reset end, a digital signal processor power supply end, a digital signal processor output end, a mute control end, a standby control end, an application processor power supply end and an application processor output end; the sampling frequency of the polling period is not less than 1 kHz, so as to capture signal jumps in real time and prevent audio signal distortion.

[0012] Further, the single-chip microcomputer comprises:

[0013] Analog-to-digital conversion module: 12-bit resolution ADC is adopted to convert the analog voltage signal collected by the signal switching switch into a digital signal, and the conversion precision error is ≤±1 LSB;

[0014] Comparative analysis module: including a storage unit and a processor, wherein:

[0015] The storage unit pre-stores a plurality of preset threshold values of audio signal point voltages, including a normal voltage threshold range (e.g. 1.0-3.3V) and a silent fault voltage threshold range (e.g. 0-0.5V);

[0016] The processor executes a threshold comparison algorithm to calculate the difference between the digital signal voltage and the preset threshold value in real time, and when the difference exceeds the fault tolerance range (e.g. ±0.1V), an abnormal signal point is marked and a diagnostic code is generated;

[0017] Communication interface: connected to the serial connector, outputting the abnormal signal point data with timestamp and diagnostic code.

[0018] Further, the comparative analysis module includes an adaptive threshold adjustment submodule, which is configured to perform the following operations:

[0019] Data collection: obtaining a historical fault data set, including environmental temperature records, voltage fluctuation time series (sampling interval ≤1 second) and vehicle model identification;

[0020] Machine learning training: using a machine learning algorithm to train the data set, wherein the input features are the environmental temperature, voltage fluctuation time series and vehicle model, and the output is the optimized threshold parameter;

[0021] Threshold update: dynamically updating the preset threshold value based on the training result, and applying the optimized threshold value to real-time diagnosis;

[0022] Through periodic threshold optimization, the misjudgment rate caused by voltage fluctuation is reduced, and the diagnostic accuracy is improved.

[0023] Further, the machine learning algorithm is a supervised learning algorithm selected from linear regression, support vector machine or neural network, and the optimal algorithm is automatically selected based on the data set size and feature dimension; the adaptive threshold adjustment submodule is configured to:

[0024] Training execution unit: performing training operation at a preset period, and the period is dynamically adjusted according to the device usage frequency or historical fault occurrence rate;

[0025] Precision verification unit: after training, the precision of the optimized threshold value is evaluated by an independent verification data set, and the update is applied only when the precision improvement exceeds a preset threshold value;

[0026] Non-volatile storage unit: store the optimized threshold value to the non-volatile memory, ensure the latest threshold value is retained after device restart and support fast loading.

[0027] Further, the serial port connector is configured to:

[0028] Communication interface unit: adopt industrial standard serial communication interface, realize real-time transmission of diagnosis results to external computer through serial protocol;

[0029] Diagnosis data packaging unit: package diagnosis results in structured data format, including voltage values of each signal point, abnormal state markers and recommended repair measures;

[0030] Real-time transmission performance unit: transmission rate meets real-time requirements of vehicle-mounted diagnosis, ensuring no data delay or loss.

[0031] Further, the external computer runs computer-side diagnosis software, which is configured to perform:

[0032] Database calling: access pre-stored fault diagnosis database, which contains normal parameter ranges and historical fault cases of audio systems of multiple vehicle models;

[0033] Automatic matching analysis: in response to the diagnosis results input by the serial port connector, real-time matching of database content is performed to generate a diagnosis report;

[0034] The diagnosis report includes fault probability analysis (such as SOC_OUT abnormal probability ≥ 85%) and spare part replacement suggestions;

[0035] Visual output: display waveform graphs, threshold comparison curves and diagnosis reports through a graphical user interface (GUI).

[0036] Further, the computer-side diagnosis software is further configured to perform:

[0037] Data security enhancement unit: end-to-end encryption is performed on the transmitted diagnosis results, and AES-256 encryption algorithm is used to protect data integrity;

[0038] Intelligent diagnosis assistance unit: based on real-time fault probability analysis results, automatically generate step-by-step repair guidance videos, and display three-dimensional repair paths in conjunction with AR devices;

[0039] Vehicle model adaptive unit: when a new vehicle model is detected, automatically download the audio system parameters of the corresponding vehicle model through network connection, update the fault diagnosis database and calibrate the threshold model.

[0040] Further, the power IC includes:

[0041] Overvoltage protection unit: Transient voltage suppression element is adopted, and is configured to start protection instantaneously when the input of the vehicle-mounted power supply exceeds a safety threshold, and the response speed meets the requirements of vehicle-mounted electrical transient disturbance protection;

[0042] Voltage stabilizing circuit unit: low-voltage direct current is output, and the conversion efficiency is significantly higher than that of a linear voltage stabilizing scheme, and the signal switching switch and the single-chip microcomputer are powered;

[0043] Power supply interface: the vehicle-mounted power supply is accessed through a cigarette lighter, and self-sustaining power supply of the device is realized.

[0044] Further, the audio detection box comprises:

[0045] Electromagnetic shielding shell: electromagnetic shielding material is adopted;

[0046] Multi-layer PCB layout: the inside is designed as a multi-layer printed circuit board, and the multi-layer printed circuit board comprises:

[0047] The signal switching switch and the single-chip microcomputer are arranged on the top layer;

[0048] The power supply IC is arranged on the bottom layer;

[0049] The top layer and the bottom layer are interconnected through a blind hole to minimize signal interference;

[0050] State indication unit: an LED indicator lamp is integrated on the outside of the shell, and is configured to display the state of the device in real time through color change, including green indicating a normal running state and red indicating a fault state.

[0051] Further, a diagnostic workflow control module is further included, and the module is configured to perform:

[0052] Initialization stage: a self-checking operation of the device is performed to verify the functional state of the signal switching switch, the single-chip microcomputer and the power supply IC;

[0053] Operation execution stage: in response to a start command sent by an external computer, the signal switching switch is controlled to poll and collect voltage signals, and the single-chip microcomputer is triggered to perform threshold comparison analysis;

[0054] Fault-tolerant control stage: when voltage sampling is abnormal, the collection operation is automatically retried until a maximum retry number threshold is reached; if the device connection is timed out, an alarm signal is triggered;

[0055] State feedback stage: diagnostic results are output to a serial connector in real time, and the device state indication is updated synchronously.

[0056] The present application has the following beneficial effects:

[0057] Compared with the prior art, the device realizes rapid positioning (without disassembly) of the soundless fault of the vehicle-mounted multimedia audio by a non-invasive design, automatic signal acquisition, intelligent threshold analysis and real-time data transmission, greatly improves the maintenance efficiency, and adapts to the variable vehicle-mounted environment. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 A frame schematic diagram of a vehicle-mounted multimedia audio soundless detection device provided by an embodiment of the present application is provided.

[0059] Figure 2 A schematic diagram of a media host provided by an embodiment of the present application is provided. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of, but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0061] In order for those skilled in the art to better understand the technical solutions of the present application, the exemplary embodiments of the present application will be described below with reference to the drawings, which include various details of the embodiments of the present application to help understanding, and should be considered as only exemplary. Therefore, those skilled in the art should realize that various changes and modifications can be made to the described embodiments without departing from the scope and spirit of the present application. Similarly, in order to be clear and concise, the description in the following description omits the description of well-known functions and structures.

[0062] In the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0063] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0064] The terms used herein are only used to describe specific embodiments, and are not intended to limit the present application. As used herein, the singular forms "a" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprise" and / or "consist of" are used in this specification, the specified features, integers, steps, operations, elements, and / or components are present, but not excluding the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. The terms "connected" or "coupled" and the like, are not limited to physical or mechanical connections or couplings, but can include electrical connections, whether direct or indirect.

[0065] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an overly literal or overly formal sense unless expressly so defined herein.

[0066] In the technical solutions of the present application, the collection, storage, use, processing, transmission, provision and disclosure of user personal information comply with relevant laws and regulations and do not violate public order and good customs. The use of user data in the technical solutions complies with relevant national laws and regulations (for example, the Information Security Technology Personal Information Security Specification). For example, appropriate measures are taken for personal information access control, restrictions are given for the display of personal information, the use purpose of personal information does not exceed the direct or reasonably related range, and the use of personal information eliminates explicit identity orientation and avoids precise positioning to a specific individual.

[0067] To solve at least one of the technical problems in the related art, the present application provides a vehicle-mounted multimedia audio silence detection device. Figure 1 A frame schematic diagram of a vehicle-mounted multimedia audio silence detection device is provided for the embodiments of the present application, which includes:

[0068] A multimedia host provides a plurality of audio-related signal points;

[0069] An audio detection box integrates a signal switching switch, a single-chip microcomputer, a power IC, a cigarette lighter, and a serial port connector;

[0070] The signal switching switch is connected to the plurality of signal points of the multimedia host and is used to poll and collect the voltages of the signal points;

[0071] The single-chip microcomputer is connected to the signal switching switch and is used to perform analog-to-digital conversion on the collected voltages of the signal points and perform diagnostic analysis;

[0072] The serial port connector is connected to the single-chip microcomputer and is used to output the diagnostic results to an external computer;

[0073] The power IC is connected to the cigarette lighter and supplies power to the signal switching switch and the single-chip microcomputer.

[0074] In the above embodiment, by integrating the signal switching switch, the single-chip microcomputer, and the serial port connector, the multiple audio-related signal point voltages of the multimedia host are collected in a non-intrusive polling manner, avoiding the cumbersome operation of disassembling the host in the prior art, significantly improving the diagnosis efficiency (for example, in an automobile assembly plant or service station, the diagnosis time can be shortened from several hours to minutes), and supporting portable self-sustaining operation through the power IC and the cigarette lighter, enhancing the applicability of the equipment in the vehicle-mounted scenario.

[0075] In some embodiments, the signal switching switch is a multi-channel analog switch configured to collect multiple audio-related signal points of the multimedia host in a preset polling period; see Figure 2 As shown, the signal points include an audio processor output end SOC OUT, a digital signal processor reset end DSP_RST, a digital signal processor power supply end DSP_VCC, a digital signal processor output end DSP_OUT, a mute control end mute, a standby control end standby, an application processor power supply end AP_VCC, and an application processor output end AP_OUT; and the sampling frequency of the polling period is not less than 1 kHz, so as to capture signal jumps in real time and prevent audio signal distortion.

[0076] In the above embodiment, the multi-channel analog switch polls the key signal points (such as SOC OUT, DSP_RST, DSP_VCC, etc.) in a preset period, covering the entire audio processing link, providing more comprehensive fault coverage (for example, problems such as power supply abnormality, reset signal loss, or output mute can be detected at the same time) compared to the prior art relying on experience or simple testing, reducing the misdiagnosis rate, and improving the diagnosis accuracy.

[0077] In some embodiments, the single-chip microcomputer includes:

[0078] An analog-to-digital conversion module: a 12-bit resolution ADC is used, configured to convert the analog voltage signal collected by the signal switching switch into a digital signal, and the conversion accuracy error is ≤±1 LSB;

[0079] A comparative analysis module: including a storage unit and a processor, wherein:

[0080] The storage unit pre-stores preset threshold values of multiple audio signal point voltages, including a normal voltage threshold range (for example, 1.0-3.3V) and a soundless fault voltage threshold range (for example, 0-0.5V);

[0081] The processor executes a threshold comparison algorithm, and calculates the difference between the digital signal voltage and the preset threshold value in real time. When the difference exceeds the fault tolerance range (for example, ±0.1V), an abnormal signal point is marked and a diagnosis code is generated;

[0082] Communication interface: connects the serial port connector, outputs the time-stamped abnormal signal point data and diagnostic code.

[0083] In the above embodiment, the analog-to-digital conversion module (error ≤ ± 1 LSB) and the comparison analysis module perform real-time threshold comparison. When the difference exceeds the error tolerance range (such as ± 0.1V), the abnormality is immediately marked and the diagnostic code is generated. Compared with the manual voltage measurement of the prior art, the automation and high-precision diagnosis are realized, the response time is faster (millisecond level), and the fault timing can be recorded through the time stamp, which is convenient for tracking the root cause of the problem.

[0084] In some embodiments, the comparison analysis module includes an adaptive threshold adjustment submodule, which is configured to perform the following operations:

[0085] Data collection: obtain a historical fault data set, which includes environmental temperature records, voltage fluctuation time series (sampling interval ≤ 1 second), and vehicle model identification;

[0086] Machine learning training: use a machine learning algorithm to train the data set, where the input features are the environmental temperature, voltage fluctuation time series, and vehicle model, and the output is the optimized threshold parameter;

[0087] Threshold update: dynamically update the preset threshold based on the training results, and apply the optimized threshold to real-time diagnosis;

[0088] Through periodic threshold optimization, the misjudgment rate caused by voltage fluctuation is reduced, and the diagnosis accuracy is improved.

[0089] In the above embodiment, the machine learning training based on historical data (such as environmental temperature and voltage fluctuation time series) dynamically updates the threshold, which solves the problem that the fixed threshold cannot adapt to changes in the vehicle environment (such as voltage drift caused by high temperature), and improves the robustness and accuracy of the diagnosis (for example, improves the diagnosis accuracy at extreme temperatures).

[0090] In some embodiments, the machine learning algorithm is a supervised learning algorithm selected from linear regression, support vector machine or neural network, and the optimal algorithm is automatically selected based on the data set size and feature dimension; the adaptive threshold adjustment submodule is configured to:

[0091] Training execution unit: perform training operations at a preset period, which is dynamically adjusted according to the device usage frequency or historical fault occurrence rate;

[0092] Precision verification unit: after training, evaluate the precision of the optimized threshold through an independent verification data set, and only when the precision improvement exceeds a preset threshold, apply the update;

[0093] Non-volatile storage unit: store optimization threshold to non-volatile memory, ensure the latest threshold is retained after device restart and support fast loading.

[0094] In the above embodiments, the optimal algorithm (such as linear regression or neural network) is automatically selected, and the precision verification unit ensures that the update is only applied when the optimization improves significantly, combined with non-volatile storage, avoiding the tediousness and errors of manual calibration in the prior art, realizing self-learning and self-optimization functions, reducing maintenance costs and prolonging the intelligent life of the device.

[0095] In some embodiments, the serial port connector is configured to:

[0096] Communication interface unit: use industrial standard serial communication interface to realize real-time transmission of diagnosis results to external computer through serial protocol;

[0097] Diagnosis data packaging unit: package diagnosis results in structured data format, including voltage values of each signal point, abnormal state markers and recommended repair measures;

[0098] Real-time transmission performance unit: transmission rate meets the real-time requirements of vehicle-mounted diagnosis, ensuring no data delay or loss.

[0099] In the above embodiments, the industrial standard serial interface and structured data packaging ensure real-time transmission (no delay or loss) of diagnosis results, meet the real-time requirements of vehicle-mounted diagnosis, provide reliable data interaction compared to point-to-point connection in the prior art, facilitate fast analysis of external computers, and improve overall system efficiency.

[0100] In some embodiments, the external computer runs computer-side diagnosis software, which is configured to perform:

[0101] Database call: access pre-stored fault diagnosis database, which contains normal parameter ranges and historical fault cases of multiple vehicle types of audio systems;

[0102] Automatic matching analysis: respond to the diagnosis results input by the serial port connector, real-time match the database content, and generate a diagnosis report;

[0103] The diagnosis report includes fault probability analysis (such as SOC_OUT abnormal probability ≥ 85%) and spare parts replacement suggestions;

[0104] Visual output: display waveform diagram, threshold comparison curve and diagnosis report through graphical user interface (GUI), response time ≤ 10 milliseconds.

[0105] In the above embodiment, through automatic matching analysis of the fault diagnosis database, a report containing fault probability (such as SOC_OUT abnormal probability ≥ 85%) and repair suggestions is generated, combined with visual output (response time ≤ 10 milliseconds), solving the problem of relying on manual experience in the prior art, providing intuitive decision support (for example, technicians can quickly identify high-frequency fault points), and shortening the maintenance cycle.

[0106] In some embodiments, the computer-side diagnosis software is further configured to perform:

[0107] Data security enhancement unit: end-to-end encryption is performed on the transmitted diagnosis results, and an AES-256 encryption algorithm is used to protect data integrity;

[0108] Intelligent diagnosis assistance unit: based on real-time fault probability analysis results, corresponding repair guidance videos are matched, step-by-step repair guidance videos are automatically generated, and three-dimensional repair paths are displayed in linkage with AR devices;

[0109] Vehicle model adaptive unit: when a new vehicle model is detected, the corresponding audio system parameters are automatically downloaded online, the fault diagnosis database is updated, and the threshold model is calibrated;

[0110] Among them, the database pre-stores repair guidance videos corresponding to various fault probability analysis results.

[0111] In the above embodiment, data encryption (AES-256) protects transmission security and prevents sensitive information from being leaked; intelligent repair guidance and AR linkage generate three-dimensional repair paths, providing immersive guidance compared to paper manuals of the prior art, and improving the first repair rate; the vehicle model adaptive unit automatically downloads new parameters to ensure device versatility and reduce manual configuration time.

[0112] In some embodiments, the power IC includes:

[0113] Overvoltage protection unit: a transient voltage suppression element is used, configured to start protection instantaneously when the vehicle-mounted power input exceeds a safety threshold, and the response speed meets the requirements of vehicle-mounted electrical transient disturbance protection;

[0114] Voltage stabilization circuit unit: outputs stable low-voltage direct current, and the conversion efficiency is significantly higher than that of a linear voltage stabilization scheme, and supplies power to the signal switching switch and the single-chip microcomputer;

[0115] Power supply interface: accesses the vehicle-mounted power supply through a cigarette lighter, and realizes self-sustaining power supply of the device.

[0116] In the above embodiment, the overvoltage protection unit (responding to vehicle-mounted transient disturbance) and the high-efficiency voltage stabilization circuit ensure stable operation of the device under vehicle-mounted power fluctuations, avoid the problem that existing devices are easily damaged by voltage surges, have high conversion efficiency, reduce energy consumption, and prolong the service life of the device in the cigarette lighter power supply scenario.

[0117] In some embodiments, the audio detection box comprises:

[0118] An electromagnetic shielding shell: made of electromagnetic shielding material;

[0119] A multi-layer PCB layout: internally designed as a multi-layer printed circuit board, wherein:

[0120] The signal switching switch and the single-chip microcomputer are arranged on the top layer;

[0121] The power IC is arranged on the bottom layer;

[0122] The top layer and the bottom layer are interconnected through a blind hole to minimize signal interference;

[0123] A state indication unit: an LED indicator light is integrated on the outside of the shell and is configured to display the device state in real time through color changes, including green indicating a normal operating state and red indicating a fault state.

[0124] In the above embodiments, the electromagnetic shielding shell and the multi-layer PCB layout (top layer signal processing, bottom layer power supply) minimize signal interference, combined with LED state indication, solve the problem that existing detection tools are easily affected by electromagnetic noise, provide intuitive operation / fault feedback (such as green normal, red fault), and improve operation reliability and user friendliness.

[0125] In some embodiments, a diagnostic workflow control module is further included, which is configured to perform:

[0126] An initialization phase: performing a device self-checking operation to verify the functional status of the signal switching switch, the single-chip microcomputer, and the power IC;

[0127] An operation execution phase: in response to a start command sent by an external computer, controlling the signal switching switch to poll and collect voltage signals, and triggering the single-chip microcomputer to perform threshold comparison analysis;

[0128] A fault-tolerant control phase: when voltage sampling is abnormal, automatically retrying the collection operation until reaching a maximum retry number threshold; if the device connection times out, triggering an alarm signal;

[0129] A state feedback phase: outputting diagnostic results to a serial connector in real time and synchronously updating the device state indication.

[0130] In the above embodiments, the automated process (self-checking, collection, fault-tolerant retry, feedback) ensures diagnostic reliability, automatically retries to the maximum number when sampling is abnormal, and triggers an alarm when it times out, compared with manual fault handling in the prior art, reducing human intervention and improving system stability (for example, the diagnostic success rate is improved by 30% in a noisy workshop environment).

[0131] Those skilled in the art can understand that all or some of the steps in the methods disclosed above and the functional modules / units in the systems and devices can be implemented by software, firmware, hardware, or a combination thereof. In hardware implementation, the division between the functional modules / units referred to in the above description does not necessarily correspond to the division of physical components; for example, one physical component can have multiple functions, or one function or step can be performed by several physical components in cooperation. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on computer-readable storage media, which can include computer storage media (or non-transitory media) and communication media (or transitory media).

[0132] As is well known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable program instructions, data structures, program modules or other data. Computer storage media include, but are not limited to, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM), static random access memory (SRAM), flash memory or other memory technology, portable compact disc read only memory (CD-ROM), digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by a computer. Further, it is well known to those skilled in the art that communication media typically embodies computer readable program instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. As a result, the desired information can be downloaded to various computing / processing devices from computer storage media or to external computers or external storage devices via networks, for example, the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in computer storage media within the respective computing / processing device.

[0133] Computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and / or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and / or edge servers. A network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device.

[0134] Computer readable program instructions for carrying out operations of the present application can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate array (FPGA), or programmable logic array (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present application.

[0135] The computer program product described herein can be embodied in a specific manner by hardware, software, or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium. In another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (SDK), and the like.

[0136] The computer program product described herein can be embodied in a specific manner by hardware, software, or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium. In another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (SDK), and the like.

[0137] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can include a non-transitory computer readable storage medium that can be a computer- readable storage medium having no data storage cycles that change state. The instructions can be executed by one or more processors of a computer, to cause a series of operational steps to be performed on the computer to produce a computer-implemented process. Such instructions can also be stored and / or executed by other computer-readable media.

[0138] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0139] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0140] Example embodiments have been disclosed herein and, although specific terms are employed, they are used in a generic and descriptive sense only and not for purposes of limitation. In some instances, it will be apparent to those skilled in the art that features, characteristics or aspects described in relation to one embodiment can be applied to other embodiments, unless otherwise clearly claimed. Accordingly, it will be understood by those skilled in the art that various changes in form and details can be made without departing from the scope of the present application as set forth in the appended claims.

[0141] The above description is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A vehicle-mounted multimedia audio silent detection device, characterized in that, include: The multimedia host provides multiple audio-related signal points; The audio detection box integrates a signal switching switch, a microcontroller, a power IC, a cigarette lighter, and a serial port connector. The signal switching switch is connected to multiple signal points of the multimedia host and is used to poll and collect the voltage of each signal point. The microcontroller is connected to a signal switching switch, which is used to perform analog-to-digital conversion on the voltage of each collected signal point and to perform diagnostic analysis. The serial port connector is connected to the microcontroller and is used to output diagnostic results to an external computer; The power IC is connected to the cigarette lighter and provides power to the signal switching switch and the microcontroller.

2. The in-vehicle multimedia audio silent detection device according to claim 1, characterized in that, The signal switching switch is a multi-channel analog switch, configured to sequentially collect multiple audio-related signal points of the multimedia host according to a preset polling cycle; the signal points include an audio processor output terminal, a digital signal processor reset terminal, a digital signal processor power supply terminal, a digital signal processor output terminal, a mute control terminal, a standby control terminal, an application processor power supply terminal, and an application processor output terminal.

3. The in-vehicle multimedia audio silent detection device according to claim 1, characterized in that, The microcontroller includes: Analog-to-digital converter module: configured to convert the analog voltage signal acquired by the signal switching switch into a digital signal; Comparison and analysis module: includes storage units and a processor, wherein: The storage unit pre-stores multiple preset threshold values ​​for the voltage of audio signal points; The processor executes a threshold comparison algorithm to calculate the difference between the digital signal voltage and a preset threshold in real time. When the difference exceeds the fault tolerance range, it marks the abnormal signal point and generates a diagnostic code. Communication interface: Connects to the serial port connector and outputs abnormal signal data with timestamps and diagnostic codes.

4. The in-vehicle multimedia audio silent detection device according to claim 3, characterized in that, The comparison analysis module includes an adaptive threshold adjustment submodule, which is configured to perform the following operations: Data collection: Acquire historical fault datasets, which include ambient temperature records, voltage fluctuation time series, and vehicle model identifiers; Machine learning training: The dataset is trained using machine learning algorithms, where the input features are the ambient temperature, voltage fluctuation time series and vehicle model, and the output is the optimized threshold parameter; Threshold update: The preset threshold is dynamically updated based on the training results, and the optimized threshold is applied to real-time diagnosis.

5. The in-vehicle multimedia audio silent detection device according to claim 4, characterized in that, The machine learning algorithm is a supervised learning algorithm, selected from linear regression, support vector machine, or neural network, and the optimal algorithm is automatically selected based on the dataset size and feature dimension; the adaptive threshold adjustment submodule is configured as follows: Training execution unit: performs training operations at a preset cycle, which is dynamically adjusted according to the frequency of device use or historical failure rate; Accuracy Validation Unit: After training, the accuracy of the optimization threshold is evaluated using an independent validation dataset, and the update is applied only when the accuracy improvement exceeds the preset threshold; Non-volatile storage unit: Optimized thresholds are stored in non-volatile memory to ensure that the latest thresholds are retained after the device restarts and to support fast loading.

6. The in-vehicle multimedia audio silent detection device according to claim 1, characterized in that, The serial port connector is configured as follows: Communication interface unit: It adopts an industry-standard serial communication interface and realizes real-time transmission of diagnostic results to an external computer through a serial protocol; Diagnostic data encapsulation unit: Encapsulates diagnostic results in a structured data format, including voltage values ​​at each signal point, abnormal status markers, and suggested remedial measures; Real-time transmission performance unit: The transmission rate meets the real-time requirements of on-board diagnostics, ensuring no data delay or loss.

7. The in-vehicle multimedia audio silent detection device according to claim 1, characterized in that, The external computer runs computer-side diagnostic software, which is configured to execute: Database access: Access a pre-stored fault diagnosis database, which contains normal parameter ranges and historical fault cases for audio systems of multiple vehicle models; Automatic matching analysis: Responds to the diagnostic results input by the serial port connector, matches them with the database content in real time, and generates a diagnostic report; The diagnostic report includes a failure probability analysis and recommendations for spare parts replacement. Visual output: Displays waveforms, threshold comparison curves, and diagnostic reports through a graphical user interface.

8. The in-vehicle multimedia audio silent detection device according to claim 7, characterized in that, The computer-based diagnostic software is further configured to execute: Data security enhancement unit: performs end-to-end encryption on the transmitted diagnostic results, and uses the AES-256 encryption algorithm to protect data integrity; Intelligent diagnostic assistance unit: Based on real-time fault probability analysis results, it automatically generates step-by-step maintenance guidance videos and displays the three-dimensional maintenance path in conjunction with AR devices; Vehicle model adaptive unit: When a new vehicle model is detected, it automatically connects to the network to download the audio system parameters of the corresponding vehicle model, updates the fault diagnosis database, and calibrates the threshold model.

9. The in-vehicle multimedia audio silent detection device according to claim 1, characterized in that, The power supply IC includes: Overvoltage protection unit: It adopts transient voltage suppression element and is configured to activate protection instantaneously when the vehicle power input exceeds the safety threshold. The response speed meets the requirements for vehicle electrical transient interference protection. Voltage regulator circuit unit: outputs stable low-voltage DC power and supplies power to the signal switching switch and microcontroller; Power supply interface: Connect to the vehicle's power supply via the cigarette lighter socket to enable the device to be self-powered.

10. The in-vehicle multimedia audio silent detection device according to any one of claims 1 to 9, characterized in that, It also includes a diagnostic workflow control module, which is configured to execute: Initialization phase: Perform device self-test operation to verify the functional status of signal switching switch, microcontroller and power IC; Operation execution phase: In response to the start command sent by the external computer, the control signal switching switch polls and collects voltage signals, and triggers the microcontroller to perform threshold comparison analysis; Fault-tolerant control phase: When voltage sampling is abnormal, the acquisition operation is automatically retried until the maximum retry threshold is reached; if the device connection times out, an alarm signal is triggered. Status feedback phase: Real-time output of diagnostic results to the serial port connector, and synchronous update of device status indicators.

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