Automobile sound equipment volume dynamic compensation method and system combined with environmental noise

Abstract

The invention discloses an automobile sound equipment volume dynamic compensation method and system combined with environmental noise, and relates to the technical field of volume control, and the method comprises the steps: carrying out the key region analysis based on the structural design information of a target vehicle, determining N key noise regions, and arranging N noise sensors; and receiving and acquiring a noise signal through a noise sensor, and carrying out spectrum characteristic identification on the signal to obtain noise spectrum data of the N regions. And based on the frequency spectrum data, carrying out multi-band interference analysis on the sound source position of the sound equipment, and determining interference parameters. And establishing a multi-band volume adaptive compensation channel, and setting a dynamic compensation coefficient according to the personal preference of the target user, the volume compensation sensitivity and the driving environment information. And performing volume compensation analysis based on the compensation channel and the dynamic compensation coefficient, determining an adaptive compensation parameter, and realizing dynamic compensation control of the sound volume. Therefore, the technical effects of improving the noise recognition precision, realizing multi-dimensional compensation and improving the volume compensation accuracy are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of volume control, and particularly to a method and system for dynamically compensating the volume of a car audio in combination with environmental noise. Background Art

[0002] Traditional car audio systems usually adopt a fixed volume control mode and cannot dynamically adjust the volume according to changes in the in-vehicle environmental noise, resulting in inconsistent sound quality experiences in different driving environments (such as high-speed driving, urban congestion, quiet parking lots, etc.). In the prior art, although some systems can adjust the volume through simple noise monitoring, these methods often lack comprehensive consideration of vehicle structure, noise spectrum characteristics, and user preferences, resulting in limited compensation effects. Summary of the Invention

[0003] The present invention provides a method and system for dynamically compensating the volume of a car audio in combination with environmental noise to solve the technical problems in the prior art such as inaccurate noise area recognition, single compensation mechanism, and affecting the accuracy of volume compensation, and to achieve the technical effects of improving noise recognition accuracy, multi-dimensional compensation, and improving the accuracy of volume compensation.

[0004] In a first aspect, the present invention provides a method for dynamically compensating the volume of a car audio in combination with environmental noise, wherein the method for dynamically compensating the volume of a car audio in combination with environmental noise includes: Analyzing key areas based on the structural design information of the target vehicle to determine N key noise areas, and arranging N noise sensors in the N key noise areas.

[0005] Receiving and obtaining N key area noise signals through the N noise sensors, and performing spectrum characteristic recognition on the N key area noise signals to obtain N area noise spectrum data information.

[0006] Performing multi-band interference analysis on the audio source position based on the N area noise spectrum data information to determine multi-band audio interference parameters.

[0007] Establishing a multi-band volume adaptive compensation channel, and setting a volume dynamic compensation coefficient according to the personal preferences of the target user, volume compensation sensitivity, and driving environment information.

[0008] Performing volume compensation analysis on the multi-band audio interference parameters by using the volume dynamic compensation coefficient based on the multi-band volume adaptive compensation channel to determine multi-band volume adaptive compensation parameters, and performing dynamic compensation control of the audio volume through the multi-band volume adaptive compensation parameters.

[0009] In a feasible implementation manner, the determining of the N key noise areas includes: Perform associated data mining based on the structural design information of the target vehicle to obtain historical vehicle noise data and vehicle powertrain characteristics.

[0010] Combine the historical vehicle noise data and vehicle powertrain characteristics to perform noise transfer simulation and establish a vehicle noise transfer simulation model.

[0011] According to the vehicle driving condition information, determine the vehicle noise source set, and perform noise transfer simulation on the vehicle noise source set based on the vehicle noise transfer simulation model to determine the noise area transfer path set.

[0012] Perform transfer frequency statistics and key node extraction on the noise area transfer path set to obtain a set of key noise transfer nodes, and perform regional division marking based on the set of key noise transfer nodes to determine the N key noise areas.

[0013] In a feasible implementation manner, obtaining the N regional noise spectrum data information includes: According to the distribution characteristic information of the N key area noise signals and the noise analysis requirements, determine the noise signal frame length and noise signal frame shift.

[0014] Perform frame division processing on the N key area noise signals according to the noise signal frame length and noise signal frame shift to obtain a set of N key area noise frames.

[0015] Perform Fourier transform on each frame signal in the set of N key area noise frames to obtain N regional noise frequency domain signals.

[0016] Extract spectral features from the N regional noise frequency domain signals and quantitatively describe them to obtain the N regional noise spectrum data information.

[0017] In a feasible implementation manner, the determining of the multi-band sound interference parameters includes: Set the noise frequency band division interval according to the human ear auditory characteristics and the working frequency band of the sound system.

[0018] Divide the N regional noise spectrum data information into a set of N regional noise frequency bands according to the noise frequency band division interval.

[0019] Perform integrated transfer simulation on the set of N regional noise frequency bands and the sound source position of the audio system based on the vehicle noise transfer simulation model to obtain multi-band noise transfer paths.

[0020] Perform sound interference analysis based on the set of N regional noise frequency bands and the multi-band noise transfer paths to determine the multi-band sound interference parameters.

[0021] In a feasible implementation manner, the determination of the multi-band audio interference parameter includes: Perform frequency band division and transfer attenuation fitting on the vehicle historical noise data according to the frequency band division intervals of the noise frequency bands to generate a multi-band noise attenuation function.

[0022] Based on the multi-band noise attenuation function, perform noise attenuation calculation on the N regional noise frequency band sets and the multi-band noise transfer paths to obtain N regional frequency band attenuation noise sets.

[0023] According to the performance requirements of the audio system, set a multi-band noise interference threshold, and perform noise comparison screening and difference sum calculation on the N regional frequency band attenuation noise sets according to the multi-band noise interference threshold to obtain the multi-band interference noise energy intensity.

[0024] Obtain an audio interference evaluation index set, perform audio interference analysis on the multi-band interference noise energy intensity according to the audio interference evaluation index set, and determine the multi-band audio interference parameter.

[0025] In a feasible implementation manner, the establishment of the multi-band volume adaptive compensation channel includes: Collect and obtain the audio historical adjustment data set, and perform frequency band division on the audio historical adjustment data set according to the frequency band division intervals of the noise frequency bands to obtain a multi-band audio adjustment data set.

[0026] Perform division and identification on the multi-band audio adjustment data set to obtain multi-band audio interference data, multi-band volume adaptive compensation parameters, and corresponding compensation effect data.

[0027] Optimize the multi-band audio interference data and multi-band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi-band volume compensation sample set.

[0028] Use a deep neural network structure to perform parallel training on the available multi-band volume compensation sample set to establish the multi-band volume adaptive compensation channel.

[0029] In a feasible implementation manner, the setting of the volume dynamic compensation coefficient includes: Quantitatively evaluate the personal preferences of the target user according to the frequency band division intervals of the noise frequency bands to determine multi-band preference weight factors.

[0030] Classify and constrain the volume compensation sensitivity and driving environment information based on the frequency band division intervals of the noise frequency bands to obtain multi-band volume sensitivity thresholds and multi-band environmental noise ratios.

[0031] Determine the volume dynamic compensation coefficient according to the empirical weighted average of the multi - band preference weight factor, the multi - band volume sensitivity threshold, and the multi - band ambient noise proportion.

[0032] In a feasible implementation, the determination of the multi - band volume adaptive compensation parameter includes: Perform volume compensation analysis on the multi - band audio interference parameter based on the multi - band volume adaptive compensation channel, and output the basic multi - band volume compensation parameter.

[0033] Use the volume dynamic compensation coefficient to perform dynamic correction calculation on the basic multi - band volume compensation parameter to determine the multi - band volume adaptive compensation parameter.

[0034] In a feasible implementation, it further includes: Set the noise anomaly condition, and perform anomaly determination analysis on the N - region noise spectrum data information based on the noise anomaly condition to obtain the noise anomaly determination result.

[0035] If the noise anomaly determination result is yes, suspend the adjustment of the volume dynamic compensation coefficient during the dynamic compensation of the audio volume.

[0036] In a second aspect, the present invention further provides an automotive audio volume dynamic compensation system combined with ambient noise. Among them, the automotive audio volume dynamic compensation system combined with ambient noise includes: A region analysis module, configured to perform key region analysis based on the structural design information of the target vehicle to determine N key noise regions, and deploy N noise sensors in the N key noise regions.

[0037] A noise signal acquisition module, configured to receive and acquire N key region noise signals through the N noise sensors, and perform spectrum characteristic identification on the N key region noise signals to obtain N - region noise spectrum data information.

[0038] A multi - band interference analysis module, configured to perform multi - band interference analysis on the audio source position based on the N - region noise spectrum data information to determine the multi - band audio interference parameter.

[0039] An adaptive compensation module, configured to establish a multi - band volume adaptive compensation channel, and at the same time, set the volume dynamic compensation coefficient according to the personal preference of the target user, the volume compensation sensitivity, and the driving environment information.

[0040] A dynamic compensation control module, configured to perform volume compensation analysis on the multi - band audio interference parameter based on the multi - band volume adaptive compensation channel using the volume dynamic compensation coefficient to determine the multi - band volume adaptive compensation parameter, and perform dynamic compensation control of the audio volume through the multi - band volume adaptive compensation parameter.

[0041] The present invention discloses a method and system for dynamically compensating the volume of a car audio in combination with environmental noise, including: analyzing key areas based on the structural design information of a target vehicle to determine N key noise areas, and arranging N noise sensors in the N key noise areas; receiving and obtaining N key area noise signals through the N noise sensors, and performing spectrum characteristic identification on the N key area noise signals to obtain N area noise spectrum data information; performing multi-band interference analysis on the audio sound source position based on the N area noise spectrum data information to determine multi-band audio interference parameters; establishing a multi-band volume adaptive compensation channel, and at the same time setting a volume dynamic compensation coefficient according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information; performing volume compensation analysis on the multi-band audio interference parameters by using the volume dynamic compensation coefficient based on the multi-band volume adaptive compensation channel to determine multi-band volume adaptive compensation parameters, and performing dynamic compensation control of the audio volume through the multi-band volume adaptive compensation parameters. The method and system for dynamically compensating the volume of a car audio in combination with environmental noise disclosed by the present invention solve the technical problems of inaccurate noise area identification, single compensation mechanism, and affecting the accuracy of volume compensation, and achieve the technical effects of improving the accuracy of noise identification, multi-dimensional compensation, and improving the accuracy of volume compensation. Description of the Drawings

[0042] Figure 1 It is a schematic flow chart of the method for dynamically compensating the volume of a car audio in combination with environmental noise according to the present invention.

[0043] Figure 2 It is a schematic structural diagram of the system for dynamically compensating the volume of a car audio in combination with environmental noise according to the present invention.

[0044] Description of the reference numerals: Area analysis module 11, Noise signal acquisition module 12, Multi-frequency interference analysis module 13, Adaptive compensation module 14, Dynamic compensation control module 15. Detailed Embodiments

[0045] The above technical solutions will be described in detail below in combination with the drawings in the specification and specific embodiments to better understand the above technical solutions. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments for explaining the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. In addition, it should be noted that, for the sake of description, only parts related to the present invention are shown in the drawings rather than all.

[0046] Embodiment 1, as Figure 1This is a schematic flowchart of the method for dynamically compensating the volume of a car audio system in combination with environmental noise. The method for dynamically compensating the volume of a car audio system in combination with environmental noise includes: S100: Analyze the key areas based on the structural design information of the target vehicle, determine N key noise areas, and deploy N noise sensors in the N key noise areas.

[0047] Specifically, by analyzing the structural design information of the target vehicle, specific areas (i.e., key noise areas) that have a greater impact on the in-vehicle noise are identified. These areas are usually key nodes for noise propagation or places where noise sources are concentrated. Among them, the structural design information includes the vehicle body structure, sound insulation material distribution, power system layout, etc., which can be obtained through vehicle design drawings, CAD models, or technical documents provided by the vehicle manufacturer.

[0048] This step plays a fundamental role in the entire solution. Through the analysis of key areas based on the vehicle's structural design information, the key noise areas can be accurately located, avoiding the problems of resource waste and inaccurate monitoring caused by blindly deploying sensors in traditional methods, helping to improve the pertinence and efficiency of noise monitoring, and providing a reliable data basis for subsequent noise spectrum analysis and volume compensation.

[0049] In some embodiments, the determination of the N key noise areas includes: Perform associated data mining based on the structural design information of the target vehicle to obtain the vehicle's historical noise data and the characteristics of the vehicle's power system; combine the vehicle's historical noise data and the characteristics of the vehicle's power system to perform noise transmission simulation and establish a vehicle noise transmission simulation model; determine the vehicle noise source set according to the vehicle driving condition information, perform noise transmission simulation on the vehicle noise source set based on the vehicle noise transmission simulation model, and determine the noise area transmission path set; perform transmission frequency statistics and key node extraction on the noise area transmission path set to obtain the noise key transmission node set, and perform area division and marking based on the noise key transmission node set to determine the N key noise areas.

[0050] Specifically, the vehicle's historical noise data refers to the noise data recorded by the vehicle during actual operation or in a laboratory environment, including information such as the noise level and frequency spectrum characteristics under various working conditions; the characteristics of the vehicle's power system are the performance parameters and working characteristics used to describe the vehicle's power transmission system (such as the engine, transmission, drive axle, etc.), which have a direct impact on noise generation.

[0051] Specifically, using data mining techniques, key data related to noise is extracted from vehicle structure design information. Combining historical noise data and vehicle powertrain characteristics, a computer-aided engineering (CAE) method is adopted to establish a vehicle noise transmission simulation model to simulate the noise propagation path. Exemplarily, the vehicle structure design information is used to construct a basic simulation model, the vehicle powertrain characteristics are used to initialize the noise sources in the basic simulation model, and the historical noise data is used to further correct and optimize the basic simulation model including the noise sources, so that the performance of the simulation model is consistent with the actual situation.

[0052] Furthermore, according to the driving condition information of the vehicle, a set of noise sources under different driving conditions of the vehicle is determined, such as the engine, tires, wind noise, exhaust system, etc. The simulation model is used to perform multi-path propagation analysis on the noise sources to obtain a set of noise area transmission paths. Through the set of noise area transmission paths, the influence of the noise sources on different areas can be quantified, and at the same time, the main propagation modes of the noise can be identified, such as airborne noise, structure-borne noise, vibration noise, etc.

[0053] Specifically, based on the set of noise area transmission paths, the noise frequencies of the transmission paths are statistically analyzed to identify high-frequency propagation paths; then, key noise nodes are extracted from the high-frequency propagation paths, such as engine mounts, door seals, chassis connection points, etc.

[0054] Optionally, based on the set of key noise transmission nodes, regional division and marking are performed to determine N key noise areas, including: analyzing the resonance effect of the neighborhood space of the key noise nodes to identify areas prone to noise amplification, such as hollow structures, thin-walled components, etc. Preferably, methods such as color grading and decibel value range are used to mark the noise levels of different areas.

[0055] Through the above methods based on data mining and simulation, the key noise areas can be accurately determined, improving the efficiency and accuracy of noise monitoring, avoiding resource waste caused by blindly deploying sensors in traditional methods, and at the same time being able to better adapt to the changes of different vehicle types and driving conditions.

[0056] S200: Receive and obtain N key area noise signals through the N noise sensors, and perform spectrum characteristic identification on the N key area noise signals to obtain N area noise spectrum data information.

[0057] Specifically, spectrum characteristic recognition is a process of analyzing the frequency components of a noise signal and identifying the intensity distribution of different frequencies in the signal, which involves mathematical methods such as Fourier transform, short-time Fourier transform, and wavelet transform. The obtained regional noise spectrum data information is quantitative data reflecting the frequency components of the noise within a specific region, and is used to determine the interference degree of the noise in different frequency bands on the audio system. Among them, it includes information such as the amplitude and phase of each frequency.

[0058] In the whole scheme, this step plays the role of data acquisition and preliminary analysis. Through spectrum characteristic recognition, the noise components of different frequencies can be accurately analyzed. Compared with noise monitoring based only on sound pressure level, spectrum analysis provides richer information and provides basic data support for subsequent volume compensation.

[0059] In some embodiments, obtaining the N regional noise spectrum data information includes: According to the distribution characteristic information of the N key regional noise signals and the noise analysis requirements, determining the noise signal frame length and the noise signal frame shift; performing frame division processing on the N key regional noise signals according to the noise signal frame length and the noise signal frame shift to obtain N key regional noise frame sets; performing Fourier transform on each frame signal in the N key regional noise frame sets to obtain N regional noise frequency domain signals; extracting and quantitatively describing the spectral features from the N regional noise frequency domain signals to obtain the N regional noise spectrum data information.

[0060] Specifically, the noise signal frame length refers to the fixed duration for dividing a continuous noise signal into short-time segments. The noise signal frame length is determined based on the analysis target frequency range. For example, a longer frame length (such as 50 ms - 100 ms) is suitable for low-frequency noise analysis (such as vehicle body resonance); a shorter frame length (such as 10 ms - 30 ms) is suitable for high-frequency noise analysis (such as tire noise).

[0061] Specifically, the noise signal frame shift refers to the overlapping area between adjacent frames, which is used to improve the time continuity of spectrum calculation. Exemplarily, the settings include: 50% frame overlap (frame shift = 0.5 × frame length), which is suitable for steady noise; 25% frame overlap (frame shift = 0.25 × frame length), which is suitable for abrupt noises such as knocking sounds.

[0062] Specifically, frame division processing refers to dividing a continuous noise signal into multiple shorter frames to facilitate solving the non-stationarity problem of the noise signal, making it suitable for Fourier transform, and at the same time facilitating the extraction of spectral change information at different time points. Among them, the length of each frame signal is called the noise signal frame length, and the interval between adjacent frames is called the noise signal frame shift.

[0063] Further, perform Fourier transform on each frame of signal in each noise frame set, converting it from the time domain to the frequency domain to analyze the frequency distribution of the noise, and obtain the frequency domain signal. Exemplarily, first, read the signal of each key area noise frame and set the sampling frequency, perform fast Fourier transform, obtain the spectrogram (showing the amplitude and phase of each frequency component), and calculate the power spectral density (showing the energy distribution of different frequencies), and output it as the regional noise frequency domain signal.

[0064] Further, extract quantifiable eigenvalues from the regional noise frequency domain signal to form a noise spectrum database, including: calculating the center frequency to determine the main noise component; calculating the spectral bandwidth to analyze the noise propagation range; identifying the formants to find the resonance noise area; preferably, the extracted key spectral features are stored in a standardized noise data format (such as CSV, JSON, etc.).

[0065] Through the above-mentioned frame segmentation processing and Fourier transform, complex time domain signals can be decomposed into multiple frequency domain components, so as to more accurately identify the noise characteristics of different frequencies, provide richer information, and make the subsequent volume compensation more refined and targeted.

[0066] S300: Perform multi-band interference analysis on the sound source position of the speaker based on the N regional noise spectrum data information, and determine the multi-band speaker interference parameters.

[0067] Specifically, by analyzing the interference degree of noise in different frequency bands on the sound source of the speaker, the interference characteristics of each frequency band are obtained. Among them, the sound source position of the speaker refers to the physical position of the speaker system in the vehicle; the multi-band speaker interference parameter refers to the specific value describing the interference degree of noise on the speaker output in different frequency bands, usually including interference intensity, frequency distribution, etc.

[0068] Exemplarily, it includes dividing the noise spectrum into multiple frequency bands according to the human ear auditory characteristics and the working frequency band of the speaker system. Then, simulate the propagation path of the noise in different frequency bands through the noise transfer simulation model, and analyze the interference degree of these paths on the sound source of the speaker. Finally, based on the simulation results, calculate the speaker interference parameters of each frequency band. Through multi-band interference analysis, the interference degree of noise in different frequency bands on the speaker output can be accurately identified, so as to provide targeted parameters for subsequent volume compensation.

[0069] In some embodiments, the determining the multi-band speaker interference parameters includes: According to the human ear's auditory characteristics and the operating frequency band of the audio system, set the noise frequency band division intervals; divide the N regional noise spectrum data information into N regional noise frequency band sets according to the noise frequency band division intervals; based on the vehicle noise transmission simulation model, perform integrated transmission simulation on the N regional noise frequency band sets and the audio sound source positions to obtain the multi-frequency band noise transmission paths; perform audio interference analysis based on the N regional noise frequency band sets and the multi-frequency band noise transmission paths to determine the multi-frequency band audio interference parameters.

[0070] Specifically, the human ear's auditory characteristics refer to the sensitivity and resolution ability of the human ear to different frequency ranges, which conform to the equal-loudness curves (Fletcher-Munson curves). Exemplarily, the human ear is most sensitive to 1 kHz - 4 kHz and has a weaker perception of low frequencies (<200 Hz) and high frequencies (>10 kHz). The operating frequency band of the audio system refers to the effective frequency band of the in-vehicle audio system.

[0071] Specifically, according to the human ear's auditory characteristics and the operating frequency band of the audio system, environmental noise can be divided into multiple frequency bands. Exemplarily, the low-frequency band (20 Hz - 250 Hz) corresponds to engine vibration, tire noise, and low-frequency wind noise; the mid-frequency band (250 Hz - 2 kHz) corresponds to door air leakage noise and structural resonance; the high-frequency band (2 kHz - 20 kHz) corresponds to tire-road surface friction noise and sharp wind noise.

[0072] Specifically, the multi-frequency band audio interference parameters are used to measure the impact of noise in different frequency bands on the audio system. Exemplarily, they include the masking threshold (when the noise intensity in a certain frequency band exceeds this value, the audio signal will be masked), the signal-to-noise ratio, the audio quality distortion degree, etc.

[0073] Specifically, first, according to the human ear's auditory characteristics and the operating frequency band of the audio system, determine the appropriate noise frequency band division intervals. For example, if the main operating frequency band of the audio system is 20 Hz - 20 kHz, referring to the human ear's auditory characteristics, it can be divided into a low-frequency band (20 Hz - 250 Hz), a mid-frequency band (250 Hz - 2 kHz), and (2 kHz - 20 kHz); then, according to these division intervals, divide the noise spectrum data of the N regions into the corresponding frequency bands to form N regional noise frequency band sets; next, use the vehicle noise transmission simulation model to combine these frequency band sets with the audio sound source positions and perform integrated transmission simulation to analyze how the noise in different frequency bands propagates to key positions inside the vehicle to obtain the noise transmission paths of different frequency bands. Finally, by analyzing the noise intensity and propagation characteristics on these paths, determine the multi-frequency band audio interference parameters.

[0074] Exemplarily, it includes calculating the noise masking threshold for each frequency band, evaluating the impact of noise on the audio output. Calculating the signal-to-noise ratio of the audio signal and the noise to judge the audio clarity. Combining the noise transmission path to analyze the effects such as resonance interference and phase distortion.

[0075] Through the above steps, multi-band interference analysis is carried out based on the human ear auditory characteristics and the working frequency band of the audio system, which can accurately identify the interference degree of noise in different frequency bands on the audio output, so as to provide targeted parameters for subsequent volume compensation. At the same time, by combining the human ear auditory characteristics and the working frequency band of the audio system, the compensation strategy can be optimized, unnecessary energy consumption can be reduced, and the energy efficiency of the system can be improved.

[0076] In some embodiments, the determining of the multi-band audio interference parameters includes: Dividing the vehicle historical noise data into frequency bands and performing transfer attenuation fitting according to the noise frequency band division intervals to generate a multi-band noise attenuation function; performing noise attenuation calculation on the N regional noise frequency band sets and the multi-band noise transmission path based on the multi-band noise attenuation function to obtain N regional band attenuation noise sets; setting a multi-band noise interference threshold according to the audio system performance requirements, performing noise comparison screening and difference sum calculation on the N regional band attenuation noise sets according to the multi-band noise interference threshold to obtain the multi-band interference noise energy intensity; obtaining an audio interference evaluation index set, and performing audio interference analysis on the multi-band interference noise energy intensity according to the audio interference evaluation index set to determine the multi-band audio interference parameters.

[0077] Specifically, the multi-band noise attenuation function is a mathematical function used to describe the attenuation law of noise in different frequency bands during propagation; the multi-band noise interference threshold refers to the threshold of the noise interference intensity set for different frequency bands, which is used to screen out the noise that has a significant impact on the audio system. In other words, when the noise in a certain frequency band exceeds this threshold, it may cause obvious interference to the audio output.

[0078] Specifically, first read the vehicle historical noise data, segment the data according to the noise frequency band division intervals, and use data fitting methods (such as exponential decay fitting, linear regression, etc.) to establish a multi-band noise attenuation function for subsequent noise propagation calculation. This noise attenuation function quantifies the transfer attenuation law of noise inside the vehicle, and each noise frequency band has different attenuation characteristics, corresponding to different segments of the above multi-band noise attenuation function.

[0079] Specifically, read the N regional noise frequency band sets and the multi-band noise transmission path, calculate the attenuation values of the noise in different regions based on the multi-band noise attenuation function, and generate N regional band attenuation noise sets, which reflect the noise distribution situation after considering the noise attenuation.

[0080] Furthermore, set multi - band noise interference thresholds according to the performance requirements of the audio system to screen out the noises exceeding the thresholds and calculate their total interference intensity. Exemplarily, compare the N - region - band - attenuated noise sets according to the thresholds, including: noises below the threshold do not affect the audio system and are not calculated; noises above the threshold may cause interference, calculate the difference between the noise and the threshold, and calculate the sum of the differences to obtain the multi - band interference noise energy intensity.

[0081] Finally, analyze the multi - band interference noise energy intensity through the audio interference evaluation index set to determine the multi - band audio interference parameters. Among them, the audio interference evaluation index set includes the indexes for evaluating the influence of noise on the audio, such as the masking effect coefficient, signal - to - noise ratio, distortion degree, etc. Different indexes have different response characteristics to the interference noise energy intensity.

[0082] Through the multi - band interference analysis method based on historical data and real - time monitoring, the interference of noises in different frequency bands on the audio system can be more accurately identified and quantified.

[0083] S400: Establish a multi - band volume adaptive compensation channel, and at the same time, set the volume dynamic compensation coefficient according to the personal preferences of the target user, volume compensation sensitivity, and driving environment information.

[0084] Specifically, the multi - band volume adaptive compensation channel is used to dynamically adjust the volume according to the preset mapping rules in combination with the noise interference in different frequency bands. The volume compensation sensitivity refers to the response speed and degree to the noise change, usually a scalar, such as a percentage. The driving environment information refers to the current driving state of the vehicle, including speed, road conditions, weather, etc.

[0085] Specifically, the volume dynamic compensation coefficient is a volume compensation parameter dynamically adjusted according to user preferences, sensitivity, and driving environment, used to control the gain or attenuation of the volume. Optionally, the volume dynamic compensation coefficient is a vector, and its direction corresponds to the gain or attenuation of the volume.

[0086] Exemplarily, the multi - band volume adaptive compensation channel can learn the user's volume adjustment habits in different driving environments. Then, according to the personal preferences of the target user (such as the favorite music type, volume range), volume compensation sensitivity (such as the sensitivity to noise change), and driving environment information (such as the current vehicle speed, road conditions), dynamically set the volume compensation coefficient. For example, if the user prefers a lower volume, but the current environmental noise is high, the system will appropriately increase the volume compensation coefficient according to the sensitivity and environmental information. This step combines the user's personalized needs and the real - time driving environment to achieve dynamic volume adjustment, which helps to improve the user experience.

[0087] In some embodiments, establishing the multi - band volume adaptive compensation channel includes: Collect and obtain the audio - system historical adjustment data set, divide the audio - system historical adjustment data set into frequency bands according to the noise frequency - band division intervals to obtain a multi - band audio - system adjustment data set; perform division and identification on the multi - band audio - system adjustment data set to obtain multi - band audio - system interference data, multi - band volume adaptive compensation parameters, and corresponding compensation effect data; optimize the multi - band audio - system interference data and multi - band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi - band volume compensation sample set; use a deep neural network structure to perform parallel training on the available multi - band volume compensation sample set to establish the multi - band volume adaptive compensation channel.

[0088] Specifically, the audio - system historical adjustment data set is the data recorded of the user's adjustment of the audio volume during past driving, including information such as the adjustment time, frequency, amplitude, etc., which is used to train the deep neural network to establish the multi - band volume adaptive compensation channel.

[0089] Specifically, first, collect the user's historical volume adjustment data, which includes the volume adjustment records of the user in different driving environments; then, divide these data into frequency bands according to the same noise frequency - band division intervals as above to obtain a multi - band audio - system adjustment data set to keep the historical samples consistent with the actual analysis mode; next, perform division and identification on the multi - band audio - system adjustment data set, and extract multi - band audio - system interference data (reflecting the interference situation of the audio system in different noise environments), multi - band volume adaptive compensation parameters (the corresponding compensation behaviors of the system or the user under different environmental noises), and corresponding compensation effect data (the user's listening feedback after volume compensation).

[0090] Furthermore, by analyzing the compensation effect data, screen out the optimal multi - band audio - system interference data and compensation parameters to form an available multi - band volume compensation sample set. This multi - band volume compensation sample set includes a variety of adjustment sample records that meet the user's expected effects and is used as the training sample data for the multi - band volume adaptive compensation channel based on the deep neural network.

[0091] Furthermore, use a deep neural network structure to perform parallel training on these samples to establish the multi - band volume adaptive compensation channel. Among them, parallel training is the process of separately training multiple volume adaptive compensation sub - channels corresponding to multiple frequency bands. By constructing and training the volume adaptive compensation sub - channels in a targeted segmented manner, it helps to reduce the training cost and difficulty, and at the same time improve the adaptability and compensation accuracy of the multi - band volume adaptive compensation channel.

[0092] In some embodiments, setting the volume dynamic compensation coefficient includes: Quantitatively evaluate the personal preferences of the target user according to the divided intervals of the noise frequency bands to determine the multi-band preference weight factors; classify and constrain the volume compensation sensitivity and driving environment information based on the divided intervals of the noise frequency bands to obtain the multi-band volume sensitivity thresholds and the multi-band ambient noise ratios; determine the volume dynamic compensation coefficient according to the empirical weighted average values of the multi-band preference weight factors, the multi-band volume sensitivity thresholds and the multi-band ambient noise ratios.

[0093] Specifically, the multi-band preference weight factors are used to quantitatively represent the volume preferences of the target user for different frequency bands. Exemplarily, if the target user prefers bass enhancement, the preference weight factor for this frequency band is correspondingly set to a smaller value (such as less than 1 or less than 0, determined based on the action logic of the multi-band preference weight factors).

[0094] Specifically, the multi-band volume sensitivity thresholds are a minimum adjustment threshold set for the volume compensation of different frequency bands, which is used to prevent excessive adjustment caused by minor noise fluctuations and avoid users perceiving frequent volume fluctuations. The multi-band ambient noise ratios refer to the ratios of the noises in different frequency bands in the overall ambient noise, which are used to evaluate the impact of the noise on the audio system. If the noise ratio in a certain frequency band is relatively high, the compensation intensity for this frequency band should be increased accordingly.

[0095] Specifically, first, obtain the historical volume adjustment records of the target user (such as the adjustment records or log status of the equalizer), count the adjustment trends of the user for low frequency, medium frequency, and high frequency, and then calculate the average change amount of the volume adjustment in different frequency bands and the adjustment stability in different noise environments. Calculate the multi-band preference weight factors through weighting and normalization. Exemplarily, if the user often increases the low-frequency volume, the low-frequency weight factor is relatively high; if the user is used to enhancing the clarity of the human voice, the medium-frequency weight factor is relatively high. Then, according to different driving environments and volume compensation requirements, set reasonable compensation sensitivities. Exemplarily, the noise is relatively low in the low-speed / stopped state, and the volume compensation requirement is small, corresponding to a low compensation sensitivity; the wind noise and tire noise are more obvious in the medium-speed driving state, and appropriate compensation is required; in the high-speed driving state: the ambient noise is large, and a larger compensation sensitivity is required.

[0096] Furthermore, analyze the frequency band composition (ambient noise ratio) of the current ambient noise, combine the multi-band preference weight factors and the multi-band volume sensitivity thresholds to determine the compensation intensity and the value. The volume dynamic compensation coefficient is determined based on the empirical weighted average method.

[0097] Through the above method based on quantitative evaluation and empirical weighted average, the volume dynamic compensation coefficient can be accurately set, so as to achieve personalized volume control and meet the needs of different users in different environments.

[0098] S500: Based on the multi - band volume adaptive compensation channel, perform volume compensation analysis on the multi - band audio interference parameters using the volume dynamic compensation coefficient, determine the multi - band volume adaptive compensation parameters, and perform dynamic compensation control of the audio volume through the multi - band volume adaptive compensation parameters.

[0099] Specifically, according to the currently monitored multi - band audio interference parameters (such as the noise intensity and interference degree of different frequency bands) and the preset volume dynamic compensation coefficient, calculate the volume adjustment amount required for each frequency band. For example, when the noise is strong in the low - frequency band, increase the low - frequency volume to offset the noise interference, while when the noise is weak in the high - frequency band, little or no adjustment may be required.

[0100] In this way, the multi - band volume adaptive compensation parameters can be dynamically determined, and dynamic compensation control can be achieved, that is, converting the analysis and calculation results of all the previous steps into actual volume adjustments.

[0101] In some embodiments, the determination of the multi - band volume adaptive compensation parameters includes: Perform volume compensation analysis on the multi - band audio interference parameters based on the multi - band volume adaptive compensation channel, and output the basic multi - band volume compensation parameters; perform dynamic correction calculation on the basic multi - band volume compensation parameters using the volume dynamic compensation coefficient to determine the multi - band volume adaptive compensation parameters.

[0102] Specifically, first, the multi - band volume adaptive compensation channel takes the multi - band audio interference parameters as input data and maps them to the corresponding basic multi - band volume compensation parameters. At this time, the basic multi - band volume compensation parameters do not yet consider the user's personalized needs; then, use the volume dynamic compensation coefficient to dynamically correct these basic parameters. The correction process takes into account the user's personal preferences (such as the preference for low - frequency volume) and the current driving environment (such as high - speed driving or urban congestion), so as to obtain the final multi - band volume adaptive compensation parameters.

[0103] Through the above steps, it is ensured that the volume adjustment is not only based on real - time noise data, but also combines the user's personalized needs and driving environment, thus providing more accurate and comfortable volume control.

[0104] In some embodiments, the method for dynamically compensating the volume of a car audio in combination with environmental noise further includes: Set noise abnormal conditions, perform abnormal determination analysis on the N - region noise spectrum data information based on the noise abnormal conditions, and obtain a noise abnormal determination result; if the noise abnormal determination result is yes, pause the adjustment of the volume dynamic compensation coefficient during the dynamic compensation of the audio volume.

[0105] Specifically, the abnormal noise condition refers to the condition where the environmental noise suddenly changes significantly, such as the sudden change in noise caused by entering a tunnel, passing by a large truck, etc. The abnormal determination analysis is a process of analyzing the noise spectrum data through an algorithm to determine whether the abnormal noise condition is met.

[0106] Specifically, in the case of abnormal noise, the adjustment of the conventional compensation coefficient will be suspended, and instead, a special operation mode that prioritizes ensuring speech clarity will be executed. For example, when the vehicle suddenly enters a tunnel and the low-frequency component of the environmental noise increases significantly, this mutation will be detected and determined as abnormal noise. The adjustment of the volume dynamic compensation coefficient will be suspended, and instead, the emergency mode will be enabled to prioritize ensuring speech clarity. In the whole solution, this step ensures that in extreme or sudden noise environments, users can still obtain clear voice prompts and communications, thereby improving the overall driving safety and user experience.

[0107] In summary, the automotive audio volume dynamic compensation method combining environmental noise provided by the present invention has the following technical effects: By analyzing the key areas based on the structural design information of the target vehicle, N key noise areas are determined, and N noise sensors are arranged in the N key noise areas; N key area noise signals are received and acquired by the N noise sensors, and the spectral characteristics of the N key area noise signals are identified to obtain N area noise spectrum data information; based on the N area noise spectrum data information, multi-band interference analysis is performed on the audio source position of the audio system to determine the multi-band audio interference parameters; a multi-band volume adaptive compensation channel is established, and at the same time, according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information, the volume dynamic compensation coefficient is set; based on the multi-band volume adaptive compensation channel, the volume dynamic compensation coefficient is used to perform volume compensation analysis on the multi-band audio interference parameters to determine the multi-band volume adaptive compensation parameters, and the audio volume dynamic compensation control is performed through the multi-band volume adaptive compensation parameters, so as to achieve the technical effects of improving the noise recognition accuracy, multi-dimensional compensation, and improving the volume compensation accuracy.

[0108] Embodiment 2, as Figure 2 is a schematic structural diagram of the automotive audio volume dynamic compensation system combining environmental noise of the present invention. For example, Figure 1 The flow schematic diagram of the automotive audio volume dynamic compensation method combining environmental noise in the present invention can be implemented through a structure such as Figure 2 shown.

[0109] Based on the same concept as the automotive audio volume dynamic compensation method combining environmental noise in the above embodiment, the automotive audio volume dynamic compensation system combining environmental noise provided by the present invention further includes: The region analysis module 11 is used to perform key region analysis based on the structural design information of the target vehicle, determine N key noise regions, and deploy N noise sensors in the N key noise regions.

[0110] The noise signal acquisition module 12 is used to receive and acquire N key region noise signals through the N noise sensors, perform spectrum characteristic identification on the N key region noise signals, and obtain N region noise spectrum data information.

[0111] The multi-frequency interference analysis module 13 is used to perform multi-band interference analysis on the sound source position based on the N region noise spectrum data information, and determine multi-band sound interference parameters.

[0112] The adaptive compensation module 14 is used to establish a multi-band volume adaptive compensation channel, and at the same time, set a volume dynamic compensation coefficient according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information.

[0113] The dynamic compensation control module 15 is used to perform volume compensation analysis on the multi-band sound interference parameters by using the volume dynamic compensation coefficient based on the multi-band volume adaptive compensation channel, determine multi-band volume adaptive compensation parameters, and perform dynamic compensation control of the sound volume through the multi-band volume adaptive compensation parameters.

[0114] Among them, the region analysis module 11 includes: The vehicle structure design information associated data mining unit is used to perform associated data mining based on the structural design information of the target vehicle, and obtain vehicle historical noise data and vehicle power system characteristics.

[0115] The vehicle noise transmission simulation model establishment unit is used to perform noise transmission simulation and simulation in combination with the vehicle historical noise data and vehicle power system characteristics, and establish a vehicle noise transmission simulation model.

[0116] The noise region transmission path set determination unit is used to determine the vehicle noise source set according to the vehicle driving condition information, perform noise transmission simulation on the vehicle noise source set based on the vehicle noise transmission simulation model, and determine the noise region transmission path set.

[0117] The key noise region division and marking unit is used to perform transmission frequency statistics and key node extraction on the noise region transmission path set, obtain a noise key transmission node set, and perform region division and marking based on the noise key transmission node set to determine the N key noise regions.

[0118] Among them, the noise signal acquisition module 12 includes: A noise signal frame length and frame shift determination unit, which is used to determine the noise signal frame length and the noise signal frame shift according to the distribution characteristic information of the noise signals in the N key areas and the noise analysis requirements.

[0119] A key area noise frame set acquisition unit, which is used to perform frame division processing on the noise signals in the N key areas according to the noise signal frame length and the noise signal frame shift, and obtain N key area noise frame sets.

[0120] A regional noise frequency domain signal acquisition unit, which is used to perform Fourier transform on each frame signal in the N key area noise frame sets to obtain N regional noise frequency domain signals.

[0121] A regional noise spectrum data information extraction unit, which is used to extract spectral features from the N regional noise frequency domain signals and quantitatively describe them to obtain the N regional noise spectrum data information.

[0122] Among them, the multi-frequency interference analysis module 13 includes: A noise frequency band division interval setting unit, which is used to set the noise frequency band division interval according to the human ear auditory characteristics and the working frequency band of the sound system.

[0123] A regional noise frequency band set division unit, which is used to divide the N regional noise spectrum data information into N regional noise frequency band sets according to the noise frequency band division interval.

[0124] A multi-frequency band noise transmission path acquisition unit, which is used to perform integrated transmission simulation on the N regional noise frequency band sets and the sound source position of the audio based on the vehicle noise transmission simulation model to obtain a multi-frequency band noise transmission path.

[0125] A multi-frequency band audio interference parameter determination unit, which is used to perform audio interference analysis based on the N regional noise frequency band sets and the multi-frequency band noise transmission path to determine multi-frequency band audio interference parameters.

[0126] Among them, the multi-frequency interference analysis module 13 further includes: A multi-frequency band noise attenuation function generation unit, which is used to perform frequency band division and transmission attenuation fitting on the vehicle historical noise data according to the noise frequency band division interval to generate a multi-frequency band noise attenuation function.

[0127] A regional frequency band attenuation noise set acquisition unit, which is used to perform noise attenuation calculation on the N regional noise frequency band sets and the multi-frequency band noise transmission path based on the multi-frequency band noise attenuation function to obtain N regional frequency band attenuation noise sets.

[0128] A multi - band interference noise energy intensity calculation unit, which is used to set a multi - band noise interference threshold according to the performance requirements of the audio system, and perform noise comparison screening and difference sum calculation on the N - region - band - attenuated noise set according to the multi - band noise interference threshold to obtain the multi - band interference noise energy intensity.

[0129] A multi - band audio interference parameter determination unit, which is used to obtain an audio interference evaluation index set, and perform audio interference analysis on the multi - band interference noise energy intensity according to the audio interference evaluation index set to determine the multi - band audio interference parameters.

[0130] Among them, the adaptive compensation module 14 includes: An audio historical adjustment data set acquisition unit, which is used to collect and obtain an audio historical adjustment data set, and perform frequency - band division on the audio historical adjustment data set according to the noise frequency - band division interval to obtain a multi - band audio adjustment data set.

[0131] A multi - band audio interference data and compensation parameter extraction unit, which is used to perform division and identification on the multi - band audio adjustment data set to obtain multi - band audio interference data, multi - band volume adaptive compensation parameters, and corresponding compensation effect data.

[0132] An available multi - band volume compensation sample set acquisition unit, which is used to optimize the multi - band audio interference data and multi - band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi - band volume compensation sample set.

[0133] A multi - band volume adaptive compensation channel establishment unit, which is used to perform parallel training on the available multi - band volume compensation sample set using a deep neural network structure to establish the multi - band volume adaptive compensation channel.

[0134] Among them, the adaptive compensation module 14 also includes: A multi - band preference weight factor determination unit, which is used to perform quantitative evaluation on the personal preferences of the target user according to the noise frequency - band division interval to determine the multi - band preference weight factor.

[0135] A multi - band volume sensitivity threshold and ambient noise ratio acquisition unit, which is used to classify and constrain the volume compensation sensitivity and driving environment information based on the noise frequency - band division interval to obtain the multi - band volume sensitivity threshold and the multi - band ambient noise ratio.

[0136] A volume dynamic compensation coefficient determination unit, which is used to determine the volume dynamic compensation coefficient according to the empirical weighted average of the multi - band preference weight factor, the multi - band volume sensitivity threshold, and the multi - band ambient noise ratio.

[0137] Among them, the dynamic compensation control module 15 includes: A basic multi-band volume compensation parameter output unit, which is used to perform volume compensation analysis on the multi-band audio interference parameters based on the multi-band volume adaptive compensation channel and output basic multi-band volume compensation parameters.

[0138] A multi-band volume adaptive compensation parameter determination unit, which is used to perform dynamic correction calculation on the basic multi-band volume compensation parameters by using the volume dynamic compensation coefficient and determine the multi-band volume adaptive compensation parameters.

[0139] In some implementation manners, the in-vehicle audio volume dynamic compensation system combined with environmental noise further includes: A noise abnormal condition setting and determination unit, which is used to set noise abnormal conditions, perform abnormal determination analysis on the N-region noise spectrum data information based on the noise abnormal conditions, and obtain a noise abnormal determination result.

[0140] A volume compensation adjustment control unit, which is used to pause the adjustment of the volume dynamic compensation coefficient during the in-vehicle audio volume dynamic compensation if the noise abnormal determination result is yes.

[0141] It should be understood that the key point of the embodiments mentioned in this specification lies in their differences from other embodiments. The specific embodiments in the foregoing Embodiment 1 are equally applicable to the in-vehicle audio volume dynamic compensation system combined with environmental noise described in Embodiment 2. For the sake of simplicity of the specification, no further elaboration will be made here.

[0142] It should be understood that the disclosed embodiments of the present invention and the above descriptions can enable those skilled in the art to implement the present invention by using the present invention. At the same time, the present invention is not limited to the above-mentioned part of the embodiments. It should be understood that those of ordinary skill in the art can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention and should all be included in the protection scope of the present invention.

Claims

1. An automotive audio volume dynamic compensation method combined with environmental noise, characterized in that Including: Analyze key areas based on the structural design information of the target vehicle to determine N key noise areas, and deploy N noise sensors in the N key noise areas; Receive and obtain N key area noise signals through the N noise sensors, identify the spectral characteristics of the N key area noise signals, and obtain N area noise spectrum data information; Conduct multi-band interference analysis on the sound source position of the audio based on the N area noise spectrum data information to determine multi-band audio interference parameters; Establish a multi-band volume adaptive compensation channel, and at the same time set a volume dynamic compensation coefficient according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information; Based on the multi-band volume adaptive compensation channel, use the volume dynamic compensation coefficient to conduct volume compensation analysis on the multi-band audio interference parameters, determine multi-band volume adaptive compensation parameters, and perform dynamic compensation control of the audio volume through the multi-band volume adaptive compensation parameters.

2. The method for dynamically compensating the volume of an automotive audio in combination with environmental noise according to claim 1, wherein The determination of the N key noise areas includes: Conduct associated data mining based on the structural design information of the target vehicle to obtain vehicle historical noise data and vehicle power system characteristics; Combine the vehicle historical noise data and vehicle power system characteristics to conduct noise transfer simulation, and establish a vehicle noise transfer simulation model; According to the vehicle driving condition information, determine the vehicle noise source set, and conduct noise transfer simulation on the vehicle noise source set based on the vehicle noise transfer simulation model to determine the noise area transfer path set; Conduct transfer frequency statistics and key node extraction on the noise area transfer path set to obtain a set of key noise transfer nodes, and conduct area division marking based on the set of key noise transfer nodes to determine the N key noise areas.

3. The method for dynamically compensating the volume of an automotive audio system in combination with environmental noise according to claim 1, wherein The obtaining of the N area noise spectrum data information includes: Determine the noise signal frame length and noise signal frame shift according to the distribution characteristic information of the N key area noise signals and the noise analysis requirements; Perform frame processing on the N key area noise signals according to the noise signal frame length and noise signal frame shift to obtain a set of N key area noise frames; Perform Fourier transform on each frame signal in the set of N key area noise frames to obtain N area noise frequency domain signals; Extract spectral features from the N area noise frequency domain signals and quantify the description to obtain the N area noise spectrum data information.

4. The method for dynamically compensating the volume of a car audio in combination with environmental noise according to claim 2, wherein The determination of the multi-band audio interference parameters includes: Set the noise frequency band division interval according to the human ear auditory characteristics and the working frequency band of the audio system; Divide the N area noise spectrum data information into N area noise frequency band sets according to the noise frequency band division interval; Conduct integrated transfer simulation on the N area noise frequency band sets and the audio sound source position based on the vehicle noise transfer simulation model to obtain multi-band noise transfer paths; Conduct audio interference analysis based on the N area noise frequency band sets and the multi-band noise transfer paths to determine multi-band audio interference parameters.

5. The method for dynamically compensating the volume of an automotive audio system in combination with environmental noise according to claim 4, characterized in that The determination of the multi-band audio interference parameters includes: Divide the vehicle historical noise data according to the noise frequency band division intervals, and perform frequency band division and transfer attenuation fitting to generate a multi-band noise attenuation function; Based on the multi-band noise attenuation function, perform noise attenuation calculations on the N regional noise frequency band sets and the multi-band noise transfer paths to obtain N regional band attenuation noise sets; According to the performance requirements of the audio system, set a multi-band noise interference threshold, and perform noise comparison screening and difference sum calculation on the N regional band attenuation noise sets according to the multi-band noise interference threshold to obtain the multi-band interference noise energy intensity; Obtain an audio interference evaluation index set, and perform audio interference analysis on the multi-band interference noise energy intensity according to the audio interference evaluation index set to determine the multi-band audio interference parameters.

6. The method for dynamically compensating the volume of an automotive audio system in combination with environmental noise according to claim 4, wherein, The establishment of the multi-band volume adaptive compensation channel includes: Collect and obtain an audio historical adjustment data set, and perform frequency band division on the audio historical adjustment data set according to the noise frequency band division intervals to obtain a multi-band audio adjustment data set; Perform division identification on the multi-band audio adjustment data set to obtain multi-band audio interference data, multi-band volume adaptive compensation parameters, and corresponding compensation effect data; Optimize the multi-band audio interference data and multi-band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi-band volume compensation sample set; Use a deep neural network structure to perform parallel training on the available multi-band volume compensation sample set to establish the multi-band volume adaptive compensation channel.

7. The dynamic compensation method for the volume of an automotive audio system in combination with environmental noise according to claim 4, characterized in that, The setting of the volume dynamic compensation coefficient includes: Quantitatively evaluate the personal preferences of the target user according to the noise frequency band division intervals to determine multi-band preference weight factors; Classify and constrain the volume compensation sensitivity and driving environment information based on the noise frequency band division intervals to obtain multi-band volume sensitivity thresholds and multi-band environmental noise ratios; Determine the volume dynamic compensation coefficient according to the empirical weighted average of the multi-band preference weight factors, the multi-band volume sensitivity thresholds, and the multi-band environmental noise ratios.

8. The method for dynamically compensating the volume of an automotive audio system in combination with environmental noise according to claim 1, wherein, The determination of the multi-band volume adaptive compensation parameters includes: Perform volume compensation analysis on the multi-band audio interference parameters based on the multi-band volume adaptive compensation channel, and output basic multi-band volume compensation parameters; Use the volume dynamic compensation coefficient to perform dynamic correction calculation on the basic multi-band volume compensation parameters to determine the multi-band volume adaptive compensation parameters.

9. The method for dynamically compensating the volume of an automotive audio in combination with environmental noise according to claim 1, wherein, It also includes: Set noise anomaly conditions, and perform anomaly determination analysis on the N regional noise spectrum data information based on the noise anomaly conditions to obtain a noise anomaly determination result; If the noise anomaly determination result is yes, pause the adjustment of the volume dynamic compensation coefficient during the dynamic compensation of the audio volume.

10. An automotive audio volume dynamic compensation system combined with environmental noise, characterized in that, For implementing the automotive audio volume dynamic compensation method combined with environmental noise according to any one of claims 1-9, it includes: A regional analysis module, configured to perform key region analysis based on the structural design information of the target vehicle, determine N key noise regions, and deploy N noise sensors in the N key noise regions; A noise signal acquisition module, which is used to receive and acquire N key area noise signals through the N noise sensors, identify the spectral characteristics of the N key area noise signals, and obtain N area noise spectrum data information; A multi-frequency interference analysis module, which is used to perform multi-band interference analysis on the sound source position of the sound based on the N area noise spectrum data information, and determine multi-band sound interference parameters; An adaptive compensation module, which is used to establish a multi-band volume adaptive compensation channel, and at the same time set a volume dynamic compensation coefficient according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information; A dynamic compensation control module, which is used to perform volume compensation analysis on the multi-band sound interference parameters by using the volume dynamic compensation coefficient based on the multi-band volume adaptive compensation channel, determine multi-band volume adaptive compensation parameters, and perform dynamic compensation control of the sound volume through the multi-band volume adaptive compensation parameters.

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