Volume control method and system based on cockpit high-delay scene and vehicle

Abstract

The invention discloses a volume control method and system based on a cockpit high-delay scene and a vehicle, and the method comprises the steps: monitoring the volume adjustment frequency of a user in a preset time in real time, starting a volume explosion-proof strategy when the volume exceeds a safe volume threshold value, detecting an audio signal, determining the normal fluctuation range of the audio signal, and controlling the volume adjustment frequency of the user in the preset time; performing intelligent analysis and filtering on the audio signal, removing the abnormal data points, and performing verification by using a filter or a machine learning model; on the basis of a self-adaptive adjustment algorithm, volume setting adjustment is carried out according to the use habit of a user and environmental noise, the volume is controlled to be smoothly reduced, and a user volume preference model is built in the self-adaptive adjustment algorithm. According to the invention, the explosion-proof strategy is carried out on the volume setting process in the volume setting optimization process, so that the problem that the volume is too large or too small due to misoperation can be effectively prevented, the accuracy and stability of volume setting are ensured, and the volume display effect is improved.

Description

Technical Field

[0001] The present invention relates to a volume control method, system and vehicle, and in particular to a volume control method, system and vehicle based on a cockpit high-delay scenario. Background Art

[0002] In the development of modern science and technology, the application of audio processing technology and intelligent filtering technology is becoming more and more extensive. Among them, audio processing technology mainly involves the collection, processing, transmission and reproduction of sound signals, and is an indispensable part of modern audio, telephone, television, computer and other equipment. Intelligent filtering technology uses computer algorithms to screen and process input data to improve data quality and efficiency.

[0003] For volume setting and display, linear processing is usually used, that is, adjustment is made according to a certain ratio. At the same time, in order to ensure the accuracy and stability of volume setting and display, explosion-proof strategies and intelligent filtering technologies are usually used. For example, in the process of volume setting, explosion-proof strategies can be used to avoid the problem of excessive or low volume caused by improper operation. In the process of volume display, intelligent filtering technology can be used to filter out some unnecessary noise, making the volume display clearer and more intuitive.

[0004] However, the existing technology still has some problems and shortcomings in practical applications. For example, in the cockpit scene, due to the high frequency of volume setting, the controller may not respond in time, resulting in abnormalities such as freezing and unresponsiveness. In addition, since the process of volume setting and display is relatively complicated, nonlinear abnormalities may occur, resulting in nonlinear abnormalities in the response of the setting result. These problems not only affect the user experience, but may also affect the safety of the device. They can no longer meet people's requirements and are in urgent need of improvement. Summary of the invention

[0005] The purpose of the present invention is to provide a volume control method, system and vehicle based on a high-delay scenario in the cockpit. The first technical problem to be solved is to overcome the nonlinear anomaly problem in the audio signal. The second technical problem to be solved is to prevent popping sounds, and finally to ensure the accuracy and stability of volume setting and display, and solve the shortcomings of the prior art.

[0006] The present invention provides the following scheme:

[0007] A volume control method based on a cockpit high-delay scenario is applied to a volume control system based on a cockpit high-delay scenario, comprising:

[0008] The vehicle-mounted device is configured to set a safe volume threshold, and the volume adjustment frequency of the user within a preset time is monitored in real time. When the volume exceeds the safe volume threshold, a volume explosion prevention strategy is activated;

[0009] Detecting audio signals, determining the normal fluctuation range of the audio signals, intelligently analyzing and filtering the audio signals, identifying data points that exceed the normal fluctuation range as abnormal data points, removing the abnormal data points, and applying filters or machine learning models for verification;

[0010] Based on an adaptive adjustment algorithm, the volume setting is adjusted according to the user's usage habits and environmental noise to control the volume to decrease smoothly. The adaptive adjustment algorithm has a built-in user volume preference model.

[0011] Furthermore, when the volume exceeds the safety volume threshold, the volume explosion prevention strategy is activated, further comprising:

[0012] Set the safe volume threshold and volume adjustment number threshold to detect in real time the number of times the user adjusts the volume within a certain period of time. If it is detected that the number of volume adjustments within a certain period of time exceeds the volume adjustment number threshold, the volume explosion prevention strategy is enabled.

[0013] Further, it includes: monitoring the audio response time of the vehicle-mounted device to determine whether there is a delay;

[0014] If there is a delay in the audio response of the vehicle-mounted device, the vehicle-mounted device is adjusted, corresponding control parameters are configured, the audio frequency of the vehicle-mounted device is reduced, and a completion identifier is generated;

[0015] Monitor the audio response time of the vehicle-mounted equipment after adjustment and detect the delay time of the audio response;

[0016] The audio response time of the adjusted vehicle-mounted device is monitored cyclically until the audio response time of the vehicle-mounted device is lower than a threshold value set in advance.

[0017] Furthermore, the detecting of the audio signal, determining the normal fluctuation range of the audio signal, and performing intelligent analysis and filtering on the audio signal further includes:

[0018] Input the audio signal to be analyzed, and perform nonlinear intelligent filtering on the input audio signal to identify and process abnormal data points in the signal;

[0019] The moving average filter is used to perform weighted average processing on the filtered audio signal to achieve data smoothing. According to the result of weighted average processing, the remaining abnormal data points are further eliminated to output the audio signal after intelligent analysis and filtering.

[0020] Furthermore, the input audio signal to be analyzed is subjected to nonlinear intelligent filtering, specifically:

[0021] Receive a set of audio signals that need to be smoothed, determine abnormal data points in the audio signals, and generate corresponding data sets;

[0022] Performing preliminary weighted averaging on the data set using a moving average filter to obtain preliminary smoothed data;

[0023] The data after the initial weighted average is re-identified and eliminated for abnormal data points, and the data is processed by secondary weighted average according to the weighted average result after eliminating the abnormal data points;

[0024] Detect the smoothness of the data processed by the second weighted average and output the data after the second weighted average processing.

[0025] A volume control system based on a cockpit high-delay scenario, used to implement the volume control method based on a cockpit high-delay scenario, comprising:

[0026] The volume explosion-proof strategy activation module configures the vehicle-mounted device, sets a safe volume threshold, monitors the volume adjustment frequency of the user within a preset time in real time, and activates the volume explosion-proof strategy when the volume exceeds the safe volume threshold;

[0027] An audio signal intelligent analysis and filtering module detects audio signals, determines the normal fluctuation range of audio signals, intelligently analyzes and filters the audio signals, identifies data points that exceed the normal fluctuation range as abnormal data points, removes the abnormal data points, and applies filters or machine learning models for verification;

[0028] The volume adaptive adjustment module adjusts the volume setting according to the user's usage habits and environmental noise based on the adaptive adjustment algorithm, and controls the volume to decrease smoothly. The adaptive adjustment algorithm has a built-in user volume preference model.

[0029] A smart cockpit is provided with the volume control system based on the cockpit high delay scenario.

[0030] An electronic device comprises: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method.

[0031] A computer-readable storage medium stores a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the method.

[0032] A vehicle is provided with the smart cockpit.

[0033] Compared with the prior art, the present invention has the following advantages:

[0034] The present invention can effectively prevent the problem of excessive or insufficient volume caused by improper operation by implementing an explosion-proof strategy in the volume setting process when optimizing the volume setting process, thereby ensuring the accuracy and stability of the volume setting and improving the volume display effect. Nonlinear intelligent filtering is implemented in the volume display process to filter out some unnecessary noise, making the volume display clearer and more intuitive, thereby improving the user experience.

[0035] The present invention aims to address the problem that the frequency of volume setting in the cockpit scene is high and the controller may not respond in time, resulting in freezes and unresponsiveness. The present invention can effectively ensure the real-time and smoothness of volume setting and display, avoid non-linear anomalies, effectively solve the non-linear anomalies in audio response, ensure the natural smoothness of volume setting and display, and further improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a flow chart of the volume control method based on the high-latency scenario in the cockpit.

[0038] Figure 1A It is a flow chart of the optimization technical solution of step S4.

[0039] Figure 1B It is a flow chart of the optimization technical solution of step S2.

[0040] Figure 2 This is an architectural diagram of the volume control system based on the high-latency scenario in the cockpit.

[0041] Figure 3 It is an implementation method of the embodiment of the present invention in a specific application scenario.

[0042] Figure 4 It is a structural diagram of an electronic device. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] like Figure 1 The volume control method based on the cockpit high delay scenario is applied to the volume control system based on the cockpit high delay scenario in the cockpit scenario, and is used to implement a real-time response and feedback mechanism, monitor user operations and respond immediately, and ensure the real-time and stability of volume setting and display. The method steps include:

[0045] Step S1, configuring the vehicle-mounted device, setting a safe volume threshold, monitoring the volume adjustment frequency of the user within a preset time in real time, and when the volume exceeds the safe volume threshold, starting the volume explosion prevention strategy;

[0046] Step S2, detecting the audio signal, determining the normal fluctuation range of the audio signal, performing intelligent analysis and filtering on the audio signal, identifying data points beyond the normal fluctuation range as abnormal data points, removing the abnormal data points, and applying a filter or a machine learning model for verification;

[0047] Step S3, based on an adaptive adjustment algorithm, adjusting the volume setting according to the user's usage habits and environmental noise, and controlling the volume to decrease smoothly, wherein the adaptive adjustment algorithm has a built-in user volume preference model.

[0048] Steps S1 to S3 describe a method for controlling the volume of an in-vehicle device, which ensures that the volume control of the user during driving is both safe and meets personalized needs through intelligent monitoring and adaptive adjustment.

[0049] Steps S1 to S3 configure and monitor the vehicle-mounted devices and audio signals, set a safe volume threshold, and monitor the user's volume adjustment frequency in real time to ensure that the threshold is not exceeded. If the volume exceeds the standard, the system will activate the explosion-proof strategy to prevent the volume from being too high and affecting driving safety.

[0050] From step S1 to step S3, the audio signal of the vehicle-mounted device is intelligently analyzed and filtered to remove abnormal data points to ensure the smoothness and accuracy of the volume display, and the volume setting is automatically adjusted according to the user's usage habits and environmental noise in combination with the adaptive adjustment algorithm. The adaptive adjustment algorithm has a built-in user volume preference model, which can achieve smooth volume reduction and meet the user's volume requirements in different environments.

[0051] The problem that steps S1 to S3 aim to solve is how to provide a personalized volume control experience under the premise of ensuring driving safety. In a driving environment, too high a volume may distract the driver, while too low a volume may affect the driving experience. Ultimately, intelligent monitoring and adaptive adjustment of the volume are achieved to ensure that the volume is controlled within a safe range. At the same time, by configuring technical means such as real-time monitoring, intelligent analysis, adaptive adjustment algorithms, and user preference models, the personalized needs of users are met, which not only improves driving safety, but also improves user comfort.

[0052] Preferably, in step S1, when the volume exceeds the safety volume threshold, starting the volume explosion prevention strategy further includes:

[0053] Set the safe volume threshold and volume adjustment number threshold to detect in real time the number of times the user adjusts the volume within a certain period of time. If it is detected that the number of volume adjustments within a certain period of time exceeds the volume adjustment number threshold, the volume explosion prevention strategy is enabled.

[0054] like Figure 1A As shown, in addition to steps S1 to S3, step S4 is also included. Step S4 discloses a monitoring and adjustment process for the audio response time of the vehicle-mounted device, the purpose of which is to ensure the timeliness and accuracy of the audio output and avoid a bad driving experience or safety hazard caused by delay. Further optimization of step S4 can obtain an optimization technical solution for step S4:

[0055] Step S41, monitoring the audio response time of the vehicle-mounted device to determine whether there is a delay;

[0056] Step S42, if there is a delay in the audio response of the vehicle-mounted device, the vehicle-mounted device is adjusted, corresponding control parameters are configured, the audio frequency of the vehicle-mounted device is reduced, and a completion identifier is generated;

[0057] Step S43, monitoring the audio response time of the vehicle-mounted device after adjustment, and detecting the delay time of the audio response;

[0058] Step S44, cyclically monitoring the adjusted audio response time of the vehicle-mounted device until the audio response time of the vehicle-mounted device is lower than a preset threshold.

[0059] Steps S41 to S44 implement dynamic monitoring and adjustment of the audio response performance of the vehicle-mounted equipment to ensure the real-time and reliability of the audio output. In view of the response delay problem that may occur when the vehicle-mounted equipment outputs audio, the effective monitoring and control of the audio response time of the vehicle-mounted equipment is implemented to ensure the timeliness of the audio output and improve the safety and comfort of driving. Through cyclic monitoring and adjustment, the system can adapt to different driving conditions and audio requirements, and ultimately achieve the goal of audio response time below the safety threshold, thereby solving the problem of audio delay, avoiding affecting the driver's driving experience, and eliminating possible safety hazards from the audio.

[0060] like Figure 1B As shown, preferably, step S2 further includes:

[0061] Step S21, inputting an audio signal to be analyzed, and performing nonlinear intelligent filtering on the input audio signal to identify and process abnormal data points in the signal;

[0062] Step S22, using a moving average filter to perform weighted average processing on the filtered audio signal to achieve data smoothing;

[0063] Step S23, according to the result of weighted average processing, further remove the remaining abnormal data points and output the audio signal after intelligent analysis and filtering.

[0064] In step S21 to step S23, the quality and reliability of the audio signal are improved by specific technical means, specifically, by weighted average processing of nonlinear intelligent filtering and moving average filter to identify, process and eliminate abnormal data points in the audio signal, thereby ensuring that the output audio signal is smooth and accurate.

[0065] The optimization technical solution of step S2 can effectively remove abnormal data points from the audio signal of the vehicle-mounted equipment. These abnormal data points may be caused by noise, interference or other unexpected factors. The abnormal data points will affect the quality of the audio signal, causing auditory discomfort, which may easily affect the vehicle driver or passengers and pose a hidden danger to safe driving.

[0066] The optimization technical solution of step S2 improves the quality of the audio signal. Through nonlinear intelligent filtering, abnormal data points in the signal can be identified and processed, thereby improving the overall quality of the audio signal and achieving a data smoothing effect. The moving average filter is used for weighted average processing, which can further smooth the data, reduce the fluctuation of the audio signal, and improve the stability of the signal.

[0067] The optimization technical solution of step S2 also eliminates remaining abnormal data points during the data smoothing process, ensures that the output audio signal is as close to the ideal state as possible through weighted average processing, and outputs a stable and accurate audio signal. The final output audio signal is intelligently analyzed and filtered to ensure the smoothness and accuracy of the signal, thereby improving the user's auditory experience.

[0068] Exemplarily, another optimization technical solution of step S2 can be applied in the following scenarios:

[0069] When performing nonlinear intelligent filtering on the input audio signal, a group of audio signals that need to be smoothed are received, abnormal data points in the audio signal are determined, and a corresponding data set is generated;

[0070] Performing preliminary weighted averaging on the data set using a moving average filter to obtain preliminary smoothed data;

[0071] The data after the initial weighted average is re-identified and eliminated for abnormal data points, and the data is processed by secondary weighted average according to the weighted average result after eliminating the abnormal data points;

[0072] Detect the smoothness of the data processed by the second weighted average and output the data after the second weighted average processing.

[0073] For the method steps disclosed in the above embodiments, the method steps are described as a series of action combinations for the purpose of simple description, but those skilled in the art should know that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0074] Any process or method description described in a flowchart or other manner may be understood as representing a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations, in which the order shown or discussed may not be followed, including executing and implementing the functions in a substantially simultaneous manner or in a reverse order according to the functions involved, or executing computer instructions and implementing the corresponding functions according to program structures such as loops and branches, which can be naturally understood by those skilled in the art when implementing the embodiments of the present invention.

[0075] like Figure 2 The volume control system based on the cockpit high delay scenario shown is used to implement the volume control method based on the cockpit high delay scenario, including:

[0076] The volume explosion-proof strategy activation module configures the vehicle-mounted device, sets a safe volume threshold, monitors the volume adjustment frequency of the user within a preset time in real time, and activates the volume explosion-proof strategy when the volume exceeds the safe volume threshold;

[0077] An audio signal intelligent analysis and filtering module detects audio signals, performs intelligent analysis and filtering on the audio signals, and removes abnormal data points;

[0078] The volume adaptive adjustment module adjusts the volume setting according to the user's usage habits and environmental noise based on the adaptive adjustment algorithm, and controls the volume to decrease smoothly. The adaptive adjustment algorithm has a built-in user volume preference model.

[0079] The implementation methods of the system described above are merely illustrative, for example, the various functional modules, units or subsystems in the system may or may not be physically separated, or may or may not be physical units, that is, they may be located in the same place, or they may be distributed to multiple different systems and their subsystems or modules. Those skilled in the art may select some or all of the functional modules, units or subsystems according to actual needs to achieve the purpose of the embodiments of the present invention, and those of ordinary skill in the art may understand and implement the above-mentioned situations without creative work.

[0080] like Figure 3 The embodiment of the present invention shown is implemented in a specific application scenario. The solution provided by this embodiment includes the following steps:

[0081] Step 1: Use an explosion-proof strategy during the volume setting process. Specifically, set a safety threshold. When the number of volume settings by the user exceeds the threshold within a certain period of time (for example, within 1 second), the system will automatically reduce the frequency of volume settings to avoid the controller being unable to respond in time, thereby reducing the situation of freezing and unresponsiveness. For example, if the safety threshold is set to 5 times / second, then when the user sets the volume more than 6 times within 1 second, the system will automatically reduce the frequency of volume settings to 4 times / second.

[0082] Step 2: During the volume display process, nonlinear intelligent filtering is used. Specifically, the system will intelligently analyze and filter the volume display data, identify and remove abnormal data points, ensure smooth and beautiful volume display changes, and avoid nonlinear abnormalities. For example, the system can use a moving average filter to perform a weighted average of the past 5 data points to obtain the current data point, thereby achieving nonlinear intelligent filtering.

[0083] Step 3: In the cockpit scenario, a real-time response and feedback mechanism is used. Specifically, the system will monitor and respond to the user's volume setting operation in real time to ensure the accuracy and stability of the volume setting and display, while avoiding nonlinear anomalies in the setting result response. For example, the system can set a response time threshold (such as 0.5 seconds). If the user performs a volume setting operation within the threshold time, the system will respond immediately and make the corresponding settings.

[0084] Step 4: Adopt an adaptive adjustment algorithm. Specifically, the system will automatically adjust the volume setting and display based on the user's usage habits and environmental noise. For example, the system can record the user's volume setting history over the past period of time, and use machine learning algorithms to predict the user's volume setting preferences in the current environment, thereby achieving adaptive adjustment.

[0085] The principle of the explosion-proof strategy in this embodiment is described as follows: This embodiment provides an explosion-proof strategy to prevent the volume controller from responding abnormally due to excessively high operating frequency. The technical problem it targets is mainly: when the user adjusts the volume of the vehicle-mounted device, if the operating frequency is too high, the controller may not be able to respond in time, causing the system to freeze or become unresponsive, affecting the user experience.

[0086] This embodiment applies a specific explosion-proof strategy and sets a safety threshold in the explosion-proof strategy to control the frequency of volume settings. When the number of volume settings made by the user within a certain period of time exceeds the preset safety threshold, the system will automatically reduce the frequency of volume settings to ensure a stable response of the controller.

[0087] Specifically, the explosion-proof strategy of this embodiment includes the following steps:

[0088] Set a safety threshold for the volume setting, illustratively 5 times per second.

[0089] Monitor the number of volume settings made by the user within a unit of time (such as between 1 second and 3 seconds).

[0090] When it is detected that the number of settings exceeds a safety threshold, the vehicle-mounted system automatically adjusts the setting frequency. For example, the vehicle-mounted system automatically adjusts the setting frequency to 4 times / second to 8 times / second.

[0091] Real-time monitoring and automatic adjustment of user operation frequency are achieved through algorithms to ensure the stability and smoothness of system response.

[0092] By implementing the explosion-proof strategy in the above steps, system anomalies caused by excessive user operation frequency can be effectively avoided. The volume display data can be optimized through intelligent filtering to achieve nonlinear intelligent filtering with smooth and beautiful display effects, thereby improving the stability of volume control and user experience.

[0093] Explanation of the nonlinear intelligent filtering technology in this embodiment:

[0094] In view of the fact that the volume display system in the prior art may have nonlinear changes in volume display due to the instability of data collection, this embodiment provides a nonlinear intelligent filtering method based on an explosion-proof strategy, which intelligently analyzes and filters the volume display data, removes abnormal data points, and ensures the smoothness and accuracy of the volume display.

[0095] The nonlinear intelligent filtering method in the explosion-proof strategy includes the following steps:

[0096] A moving average filter is used to perform weighted average processing on the volume display data.

[0097] Several past data points (eg, 5 to 10) are analyzed to identify and remove abnormal data points.

[0098] Real-time analysis and intelligent filtering of data points are achieved through algorithms to ensure the continuity and smoothness of volume display. For example, sliding window averaging algorithm, Kalman filtering algorithm, weighted moving average algorithm, peak detection algorithm, etc. can be used to perform real-time analysis and intelligent filtering of data points.

[0099] In scenarios where it is necessary to calculate the average value of data points within a certain time window to achieve continuity and smoothness of volume display, a sliding window averaging algorithm can be used;

[0100] In scenarios where higher accuracy is required and there is noise interference, the Kalman filter algorithm can be used to obtain a more accurate estimation result by weighted fusion of the current observation value and the previous state.

[0101] In scenarios where a faster response speed and a smoother volume display are required, a weighted moving average algorithm can be used to give higher weights to recent observations and gradually reduce the weights of older observations.

[0102] In scenarios where there are too many peak points or outliers in the detection data points, a peak detection algorithm can be used to remove peak points or outliers, and peak detection can be performed based on thresholds or statistical features to improve the accuracy of data analysis and filtering results.

[0103] The nonlinear intelligent filtering method of this embodiment can significantly improve the stability and aesthetics of the volume display, avoid display problems caused by data anomalies, and significantly improve the response speed and accuracy of the volume setting, meet the user's high requirements for volume control in the cockpit scene, and enhance the user's driving experience.

[0104] The explosion-proof strategy of this embodiment also involves the improvement of the real-time response and feedback mechanism, including the following steps:

[0105] Set a response time threshold, such as 0.5 seconds.

[0106] Monitor the user's volume setting operations in real time.

[0107] When the user operation is within the response time threshold, the system responds immediately and makes corresponding settings.

[0108] Through the adaptive adjustment algorithm, it can achieve fast response and accurate feedback to user operations, ensuring the real-time and accuracy of volume settings.

[0109] The use of the above-mentioned real-time response and feedback mechanism can significantly improve the response speed and accuracy of volume settings, meet users' high requirements for volume control in cockpit scenarios, and enhance user experience.

[0110] The adaptive adjustment algorithm can automatically adjust the volume setting based on user usage habits, environmental noise and other factors to meet the user's personalized needs.

[0111] The adaptive adjustment algorithm includes the following steps:

[0112] Record the volume setting history of users over a period of time, analyze their operating habits and preferences, and generate corresponding tracking data and labels;

[0113] Monitor the noise level of the current environment and use machine learning algorithms to predict the user's volume setting preference in the current environment.

[0114] Based on the prediction results, the volume settings are automatically adjusted to adapt to user needs and environmental changes.

[0115] Through the processing of the above-mentioned adaptive adjustment algorithm, the volume setting can be intelligentized and personalized, the frequency of manual adjustment by users can be reduced, and the user experience and satisfaction of the system can be improved.

[0116] like Figure 4 As shown, the present invention not only provides a volume control method and system based on a cockpit high-delay scenario, but also provides corresponding electronic equipment, storage medium, smart cockpit and vehicle thereof:

[0117] A smart cockpit is provided with the volume control system based on the cockpit high delay scenario.

[0118] An electronic device comprises: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method.

[0119] A computer-readable storage medium stores a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the method.

[0120] A vehicle is provided with the smart cockpit.

[0121] like Figure 4 As shown, the device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory 602 (ROM) or a computer program loaded from a storage unit 608 into a random access memory 603 (RAM). In the RAM, various programs and data required for the operation of the device 600 can also be stored. The computing unit 601, the ROM, and the RAM are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0122] A number of components in the device 600 are connected to the I / O interface 605, including: an input unit 606, such as a keyboard, a mouse, etc.; an output unit 607, such as various types of displays, speakers, etc.; a storage unit 608, such as a disk, an optical disk, etc.; and a communication unit 609, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0123] The computing unit 601 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU ...

[0124] Unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSP), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 601 executes the various methods and processes described above, such as the execution instructions of steps S1 to S4 in the volume control method based on the high-delay scenario in the cockpit. For example, in some embodiments, the volume control method based on the high-delay scenario in the cockpit can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 608. In some embodiments, part or all of the computer program can be loaded and / or installed on the device 600 via the ROM 602 and / or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the volume control method based on the high-delay scenario in the cockpit described above can be executed. Alternatively, in other embodiments, the computing unit 601 can be configured to execute the volume control method based on the high-delay scenario in the cockpit by any other appropriate means (for example, by means of firmware).

[0125] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0126] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other volume control system based on a cockpit high-delay scenario, so that when the program code is executed by the processor or controller, the functions / operations specified in the flowchart and / or block diagram are implemented.

[0127] It may execute entirely on the machine, partly on the machine, partly on the machine as a stand-alone software package and partly on a remote machine or entirely on a remote machine or server.

[0128] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0129] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0130] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. Communications may be made by any form or medium of digital data communication (e.g.,

[0131] Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0132] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0133] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and this document does not limit this.

[0134] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, any one of the embodiments claimed in the claims can be used in any combination in the embodiments of the present invention.

[0136] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0137] In addition, the technical solutions of the various embodiments of the present invention may be combined with each other, but this must be based on the fact that ordinary technicians in the field can implement it.

[0138] When the method is implemented, it should be considered that this combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0139] All features disclosed in this specification, or steps in all methods or processes disclosed, except mutually exclusive features and / or steps, can be combined in any way. Any feature disclosed in this specification, unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features. Throughout the specification, the same reference numerals indicate the same elements.

[0140] Those skilled in the art will appreciate that the modules in the devices in the embodiments can be adaptively changed and set in one or more devices different from the embodiments. The modules or units or components in the embodiments can be combined into one module or unit or component, and in addition they can be divided into multiple submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including corresponding claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner can be combined in any combination. Unless otherwise explicitly stated, each feature disclosed in this specification (including corresponding claims, abstracts and drawings) can be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A volume control method based on a cockpit high-delay scenario, applied to a volume control system based on a cockpit high-delay scenario, characterized in that: include: The vehicle-mounted device is configured to set a safe volume threshold, and the volume adjustment frequency of the user within a preset time is monitored in real time. When the volume exceeds the safe volume threshold, a volume explosion prevention strategy is activated; Detecting audio signals, determining the normal fluctuation range of the audio signals, intelligently analyzing and filtering the audio signals, identifying data points that exceed the normal fluctuation range as abnormal data points, removing the abnormal data points, and applying filters or machine learning models for verification; Based on an adaptive adjustment algorithm, the volume setting is adjusted according to the user's usage habits and environmental noise to control the volume to decrease smoothly. The adaptive adjustment algorithm has a built-in user volume preference model.

2. The volume control method based on the cockpit high delay scenario according to claim 1 is characterized in that: When the volume exceeds the safe volume threshold, starting the volume explosion prevention strategy further includes: Set the safe volume threshold and volume adjustment number threshold to detect in real time the number of times the user adjusts the volume within a certain period of time. If it is detected that the number of volume adjustments within a certain period of time exceeds the volume adjustment number threshold, the volume explosion prevention strategy is enabled.

3. The volume control method based on the cockpit high delay scenario according to claim 1 is characterized in that: Also includes: Monitor the audio response time of the vehicle's equipment to determine if there is any delay; If there is a delay in the audio response of the vehicle-mounted device, the vehicle-mounted device is adjusted, corresponding control parameters are configured, the audio frequency of the vehicle-mounted device is reduced, and a completion identifier is generated; Monitor the audio response time of the vehicle-mounted equipment after adjustment and detect the delay time of the audio response; The audio response time of the adjusted vehicle-mounted device is monitored cyclically until the audio response time of the vehicle-mounted device is lower than a threshold value set in advance.

4. The volume control method based on the cockpit high delay scenario according to claim 1 is characterized in that: The detecting of the audio signal, determining the normal fluctuation range of the audio signal, and performing intelligent analysis and filtering on the audio signal further comprises: Input the audio signal to be analyzed, and perform nonlinear intelligent filtering on the input audio signal to identify and process abnormal data points in the signal; The moving average filter is used to perform weighted average processing on the filtered audio signal to achieve data smoothing. According to the result of weighted average processing, the remaining abnormal data points are further eliminated to output the audio signal after intelligent analysis and filtering.

5. The volume control method based on the cockpit high delay scenario according to claim 4 is characterized in that: The input audio signal to be analyzed is subjected to nonlinear intelligent filtering, specifically: Receive a set of audio signals that need to be smoothed, determine abnormal data points in the audio signals, and generate corresponding data sets; Performing preliminary weighted averaging on the data set using a moving average filter to obtain preliminary smoothed data; The data after the initial weighted average is re-identified and eliminated for abnormal data points, and the data is processed by secondary weighted average according to the weighted average result after eliminating the abnormal data points; Detect the smoothness of the data processed by the second weighted average and output the data after the second weighted average processing.

6. A volume control system based on a high-delay scenario in a cockpit, used to implement the volume control method based on a high-delay scenario in a cockpit as claimed in any one of claims 1 to 5, characterized in that: include: The volume explosion-proof strategy activation module configures the vehicle-mounted device, sets a safe volume threshold, monitors the volume adjustment frequency of the user within a preset time in real time, and activates the volume explosion-proof strategy when the volume exceeds the safe volume threshold; An audio signal intelligent analysis and filtering module detects audio signals, determines the normal fluctuation range of audio signals, intelligently analyzes and filters the audio signals, identifies data points that exceed the normal fluctuation range as abnormal data points, removes the abnormal data points, and applies filters or machine learning models for verification; The volume adaptive adjustment module adjusts the volume setting according to the user's usage habits and environmental noise based on the adaptive adjustment algorithm, and controls the volume to decrease smoothly. The adaptive adjustment algorithm has a built-in user volume preference model.

7. A smart cockpit, characterized in that: The smart cockpit is provided with a volume control system based on a cockpit high-delay scenario as described in claim 6.

8. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that: It stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the method described in any one of claims 1 to 5.

10. A vehicle, characterized in that: The vehicle is provided with the smart cockpit described in claim 7.

Images