Car audio volume dynamic compensation method and system combined with environmental noise

Abstract

The present invention discloses a method and system for dynamic compensation of automobile audio volume in combination with environmental noise, and relates to the technical field of volume control. The method comprises: performing key area analysis based on the structural design information of the target vehicle, determining N key noise areas, and deploying N noise sensors. Noise signals are received and acquired by the noise sensors, and the spectral characteristics of the signals are identified to obtain noise spectrum data of the N areas. Based on these spectral data, a multi-band interference analysis is performed on the position of the audio source to determine the interference parameters. A multi-band volume adaptive compensation channel is established, and a dynamic compensation coefficient is set according to the personal preferences of the target user, the volume compensation sensitivity, and the driving environment information. Volume compensation analysis is performed based on the compensation channel and the dynamic compensation coefficient, and the adaptive compensation parameters are determined to realize dynamic compensation control of the audio volume. Thus, the technical effects of improving the noise recognition accuracy, 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 in particular to a method and system for dynamic compensation of automobile audio volume in combination with environmental noise. Background Art

[0002] Traditional car audio systems typically use a fixed volume control mode, unable to dynamically adjust the volume based on changes in the ambient noise level inside the vehicle. This results in inconsistent sound quality in different driving environments (such as highway driving, city traffic, and quiet parking lots). While some existing 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 effectiveness. Summary of the Invention

[0003] The present invention provides a method and system for dynamic volume compensation of car audio systems in combination with ambient noise, so as to solve the technical problems in the prior art such as inaccurate noise area identification, single compensation mechanism, and impact on volume compensation accuracy, thereby achieving the technical effects of improving noise identification accuracy, multi-dimensional compensation, and improving volume compensation accuracy.

[0004] In a first aspect, the present invention provides a method for dynamically compensating the volume of a car audio system in combination with ambient noise, wherein the method comprises:

[0005] A key area analysis is performed based on the structural design information of the target vehicle, N key noise areas are determined, and N noise sensors are deployed in the N key noise areas.

[0006] The N noise sensors receive and acquire N key area noise signals, perform spectrum characteristics recognition on the N key area noise signals, and obtain N area noise spectrum data information.

[0007] Based on the noise spectrum data information of the N areas, a multi-band interference analysis is performed on the sound source position to determine the multi-band sound interference parameters.

[0008] Establish a multi-band volume adaptive compensation channel, and set the volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity and driving environment information.

[0009] 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 sound interference parameters, determine the multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

[0010] In a feasible implementation, determining N key noise areas includes:

[0011] Correlation data mining is performed based on the structural design information of the target vehicle to obtain vehicle historical noise data and vehicle power system characteristics.

[0012] The noise transmission simulation is performed in combination with the historical noise data of the vehicle and the characteristics of the vehicle power system to establish a vehicle noise transmission simulation model.

[0013] A vehicle noise source set is determined according to the vehicle driving condition information, and a noise transmission simulation is performed on the vehicle noise source set based on the vehicle noise transmission simulation model to determine a noise area transmission path set.

[0014] The transmission frequency statistics and key node extraction are performed on the noise area transmission path set to obtain a noise key transmission node set, and regional division and marking are performed based on the noise key transmission node set to determine the N key noise areas.

[0015] In a feasible implementation, obtaining noise spectrum data information of N regions includes:

[0016] The noise signal frame length and the noise signal frame shift are determined according to the distribution characteristic information of the noise signals in the N key areas and the noise analysis requirements.

[0017] The N key area noise signals are subjected to frame processing according to the noise signal frame length and the noise signal frame shift to obtain N key area noise frame sets.

[0018] Perform Fourier transform on each frame signal in the N key region noise frame sets to obtain N region noise frequency domain signals.

[0019] Spectral features are extracted from the N-region noise frequency domain signals and quantified to obtain the N-region noise spectrum data information.

[0020] In a feasible implementation, determining the multi-band sound interference parameters includes:

[0021] Set the noise frequency band division interval according to the human ear hearing characteristics and the working frequency band of the audio system.

[0022] The N regional noise spectrum data information is divided into N regional noise frequency band sets according to the noise frequency band division interval.

[0023] Based on the vehicle noise transmission simulation model, an integrated transmission simulation is performed on the N regional noise frequency band sets and the acoustic sound source positions to obtain a multi-band noise transmission path.

[0024] An acoustic interference analysis is performed based on the N regional noise frequency band sets and the multi-band noise transmission path to determine multi-band acoustic interference parameters.

[0025] In a feasible implementation, determining the multi-band sound interference parameters includes:

[0026] Frequency band division and transfer attenuation fitting are performed on the historical noise data of the vehicle according to the noise frequency band division intervals to generate a multi-band noise attenuation function.

[0027] Noise attenuation calculation is performed 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 attenuated noise sets.

[0028] According to the performance requirements of the audio system, a multi-band noise interference threshold is set, and noise comparison and screening and difference summation calculation are performed 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.

[0029] Acquire an acoustic interference evaluation index set, perform acoustic interference analysis on the multi-band interference noise energy intensity according to the acoustic interference evaluation index set, and determine the multi-band acoustic interference parameters.

[0030] In a feasible implementation, the establishing of a multi-band volume adaptive compensation channel includes:

[0031] A sound history adjustment data set is collected and acquired, and the sound history adjustment data set is divided into frequency bands according to the noise frequency band division intervals to obtain a multi-band sound adjustment data set.

[0032] The multi-band sound adjustment data set is divided and marked to obtain multi-band sound interference data, multi-band volume adaptive compensation parameters and corresponding compensation effect data.

[0033] The multi-band sound interference data and the multi-band volume adaptive compensation parameters are optimized according to the compensation effect data to obtain an available multi-band volume compensation sample set.

[0034] The available multi-band volume compensation sample set is trained in parallel using a deep neural network structure to establish the multi-band volume adaptive compensation channel.

[0035] In a feasible implementation, setting the volume dynamic compensation coefficient includes:

[0036] The target user's personal preference is quantitatively evaluated according to the noise frequency band division intervals to determine a multi-band preference weight factor.

[0037] Based on the noise frequency band division intervals, the volume compensation sensitivity and driving environment information are classified and constrained to obtain multi-band volume sensitivity thresholds and multi-band environmental noise proportions.

[0038] The volume dynamic compensation coefficient is determined according to the multi-band preference weight factor, the multi-band volume sensitivity threshold, and an empirical weighted average of the multi-band ambient noise ratio.

[0039] In a feasible implementation, determining the multi-band volume adaptive compensation parameters includes:

[0040] A volume compensation analysis is performed on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel, and a basic multi-band volume compensation parameter is output.

[0041] The volume dynamic compensation coefficient is used to perform dynamic correction calculation on the basic multi-band volume compensation parameter to determine the multi-band volume adaptive compensation parameter.

[0042] In a feasible implementation, the method further includes:

[0043] A noise abnormality condition is set, and based on the noise abnormality condition, an abnormality determination analysis is performed on the noise spectrum data information of the N regions to obtain a noise abnormality determination result.

[0044] If the noise abnormality determination result is yes, the adjustment of the volume dynamic compensation coefficient is suspended during the sound volume dynamic compensation.

[0045] In a second aspect, the present invention further provides a car audio volume dynamic compensation system in combination with environmental noise, wherein the car audio volume dynamic compensation system in combination with environmental noise comprises:

[0046] The regional analysis module is used to perform key area analysis 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] The noise signal acquisition module is used to receive and acquire N key area noise signals through the N noise sensors, perform spectrum characteristics recognition on the N key area noise signals, and obtain N area noise spectrum data information.

[0048] The multi-frequency interference analysis module is used to perform multi-band interference analysis on the sound source position based on the noise spectrum data information of the N areas, and determine the multi-band sound interference parameters.

[0049] The adaptive compensation module is used to establish a multi-band volume adaptive compensation channel and set the volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity and driving environment information.

[0050] A dynamic compensation control module is used to perform volume compensation analysis on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel using the volume dynamic compensation coefficient, determine the multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

[0051] The present invention discloses a method and system for dynamic volume compensation of automobile audio systems in combination with environmental noise. The method comprises: performing key area analysis based on structural design information of a target vehicle to determine N key noise areas, and deploying N noise sensors in the N key noise areas; receiving and acquiring noise signals from the N key areas via the N noise sensors, performing spectral characteristic identification on the noise signals from the N key areas, and obtaining noise spectrum data information for the N areas; performing multi-band interference analysis on the sound source locations based on the noise spectrum data information for the N areas, and determining multi-band audio interference parameters; establishing a multi-band volume adaptive compensation channel, and setting a volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity, and driving environment information; performing volume compensation analysis on the multi-band audio interference parameters using the volume dynamic compensation coefficient based on the multi-band volume adaptive compensation channel, determining the multi-band volume adaptive compensation parameters, and performing dynamic compensation control of the audio volume using the multi-band volume adaptive compensation parameters. The method and system for dynamic volume compensation of automobile audio systems in combination with environmental noise disclosed by the present invention solve the technical problems of inaccurate noise area identification, a single compensation mechanism, and poor volume compensation accuracy, thereby achieving the technical effects of improving noise identification accuracy, multi-dimensional compensation, and improving volume compensation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The figure is a flow chart of a method for dynamic volume compensation of automobile audio system in combination with ambient noise according to the present invention.

[0053] Figure 2 The figure is a schematic structural diagram of the car audio volume dynamic compensation system combined with environmental noise according to the present invention.

[0054] Description of the accompanying drawings: regional analysis module 11, noise signal acquisition module 12, multi-frequency interference analysis module 13, adaptive compensation module 14, dynamic compensation control module 15. DETAILED DESCRIPTION

[0055] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only 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 used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention, rather than all, are shown in the drawings.

[0056] Example 1, as Figure 1 FIG. 1 is a flow chart of a method for dynamically compensating the volume of a car audio system in combination with ambient noise according to the present invention, wherein the method for dynamically compensating the volume of a car audio system in combination with ambient noise includes:

[0057] S100: performing a key area analysis based on the structural design information of the target vehicle, determining N key noise areas, and deploying N noise sensors in the N key noise areas.

[0058] Specifically, by analyzing the target vehicle's structural design information, specific areas that significantly impact interior noise (i.e., critical noise areas) are identified. These areas are typically key nodes of noise propagation or locations where noise sources are concentrated. Structural design information includes the vehicle's body structure, sound insulation material distribution, and powertrain layout, and can be obtained through vehicle design drawings, CAD models, or technical documentation provided by the vehicle manufacturer.

[0059] This step plays a fundamental role in the entire solution. By analyzing key areas based on vehicle structural design information, it can accurately locate key noise areas, avoiding the resource waste and inaccurate monitoring problems caused by the blind deployment of sensors in traditional methods. It helps to improve the targetedness and efficiency of noise monitoring, and provides a reliable data foundation for subsequent noise spectrum analysis and volume compensation.

[0060] In some embodiments, determining N key noise areas includes:

[0061] Based on the structural design information of the target vehicle, associated data mining is performed to obtain the vehicle's historical noise data and vehicle power system characteristics; noise transmission simulation is performed in combination with the vehicle's historical noise data and vehicle power system characteristics to establish a vehicle noise transmission simulation model; based on the vehicle's driving condition information, a vehicle noise source set is determined, and noise transmission simulation is performed on the vehicle noise source set based on the vehicle noise transmission simulation model to determine a noise area transmission path set; transmission frequency statistics and key node extraction are performed on the noise area transmission path set to obtain a noise key transmission node set, and regional division and labeling are performed based on the noise key transmission node set to determine the N key noise areas.

[0062] Specifically, vehicle historical noise data refers to the noise data recorded by the vehicle during actual operation or in a laboratory environment, including information such as noise levels and spectral characteristics under various operating conditions; vehicle power system characteristics are used to describe the performance parameters and operating characteristics of the vehicle power transmission system (such as the engine, transmission, drive axle, etc.), which have a direct impact on noise generation.

[0063] Specifically, data mining technology is used to extract key noise-related data from vehicle structural design information, and combined with historical noise data and vehicle power system characteristics, a computer-aided engineering (CAE) method is used to establish a vehicle noise transmission simulation model to simulate the noise propagation path. For example, vehicle structural design information is used to construct a basic simulation model, while vehicle power system characteristics are used to initialize the noise source in the basic simulation model. Historical noise data is used to further correct and optimize the above-mentioned basic simulation model including the noise source, so that the performance of the simulation model is consistent with the actual situation.

[0064] Furthermore, based on the vehicle's driving condition information, the noise source set of the vehicle under different operating conditions is determined, such as the engine, tires, wind noise, exhaust system, etc., and the simulation model is used to perform multi-path propagation analysis on the noise source to obtain the noise area transfer path set. Through the noise area transfer path set, the impact of the noise source on different areas can be quantified, and the main noise propagation modes can be identified, such as airborne noise, structure-borne noise, vibration noise, etc.

[0065] Specifically, based on the set of transmission paths in the noise area, the noise frequency of the transmission path is counted to identify the high-frequency propagation path; then, key noise nodes are extracted from the high-frequency propagation path, such as engine brackets, door seals, chassis connection points, etc.

[0066] Optionally, regional division and marking are performed based on the set of noise key transmission nodes to determine N key noise areas, including: analyzing the resonance effect of the neighborhood space of the key noise nodes, identifying areas that are prone to noise amplification, such as hollow structures, thin-walled components, etc. Preferably, color grading, decibel value range, etc. are used to mark the noise levels of different areas.

[0067] Through the above-mentioned method based on data mining and simulation, key noise areas can be accurately identified, the efficiency and accuracy of noise monitoring can be improved, and the waste of resources caused by the blind deployment of sensors in traditional methods can be avoided. At the same time, it can also better adapt to changes in different vehicle types and driving conditions.

[0068] S200: Receive and obtain N key area noise signals through the N noise sensors, perform spectrum characteristics recognition on the N key area noise signals, and obtain N area noise spectrum data information.

[0069] Specifically, spectrum identification is the process of analyzing the frequency components of a noise signal and identifying the intensity distribution of different frequencies within the signal. This involves mathematical methods such as Fourier transforms, short-time Fourier transforms, and wavelet transforms. The acquired regional noise spectrum data is a quantified representation of the frequency components of noise within a specific area. This data is used to determine the degree of interference that noise in different frequency bands has on the sound system, including information such as the amplitude and phase of each frequency.

[0070] In the entire plan, this step plays the role of data collection and preliminary analysis. By identifying spectral characteristics, 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.

[0071] In some embodiments, obtaining noise spectrum data information of N regions includes:

[0072] According to the distribution characteristic information of the noise signals in the N key areas and the noise analysis requirements, the noise signal frame length and the noise signal frame shift are determined; the noise signals in the N key areas are framed according to the noise signal frame length and the noise signal frame shift to obtain N key area noise frame sets; Fourier transform is performed on each frame signal in the N key area noise frame sets to obtain N area noise frequency domain signals; spectral features are extracted from the N area noise frequency domain signals and quantified to obtain the N area noise spectrum data information.

[0073] Specifically, the noise signal frame length refers to the fixed duration used to divide a continuous noise signal into short segments. The noise signal frame length is determined based on the target frequency range for analysis. For example, a longer frame length (such as 50ms-100ms) is suitable for low-frequency noise analysis (such as vehicle body resonance); a shorter frame length (such as 10ms-30ms) is suitable for high-frequency noise analysis (such as tire noise).

[0074] Specifically, the noise signal frame shift refers to the overlapping area between adjacent frames, which is used to improve the temporal continuity of spectrum calculation. Exemplary settings include: 50% frame overlap (frame shift = 0.5 × frame length), which is suitable for stationary noise; 25% frame overlap (frame shift = 0.25 × frame length), which is suitable for sudden noise, such as detonation.

[0075] Specifically, framing involves dividing a continuous noise signal into multiple shorter frames. This helps address the non-stationarity of the noise signal, making it suitable for Fourier transforms and facilitating the extraction of spectral variations at different time points. The length of each frame is called the noise signal frame length, and the interval between adjacent frames is called the noise signal frame shift.

[0076] Furthermore, a Fourier transform is performed on each frame 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 a frequency domain signal. For example, first, the signal of each key area noise frame is read and the sampling frequency is set, a fast Fourier transform is performed, a spectrum diagram (displaying the amplitude and phase of each frequency component) is obtained, and the power spectral density (displaying the energy distribution of different frequencies) is calculated, and the output is the regional noise frequency domain signal.

[0077] Furthermore, quantifiable characteristic values ​​are extracted 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 spectrum bandwidth to analyze the noise propagation range; identifying the resonance peak to find the resonant noise area; preferably, the extracted key spectrum features are stored in a standardized noise data format (such as CSV, JSON, etc.).

[0078] Through the above-mentioned frame processing and Fourier transform, the complex time domain signal 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.

[0079] S300: performing a multi-band interference analysis on the sound source location based on the noise spectrum data information of the N regions to determine multi-band sound interference parameters.

[0080] Specifically, by analyzing the degree to which noise in different frequency bands interferes with the audio source, the interference characteristics of each frequency band are obtained. The audio source location refers to the physical location of the audio system within the vehicle; multi-band audio interference parameters are specific numerical values ​​that describe the degree to which noise in different frequency bands interferes with the audio output, typically including interference intensity and frequency distribution.

[0081] For example, this involves dividing the noise spectrum into multiple frequency bands based on the human hearing characteristics and the operating frequency range of the audio system. A noise transmission simulation model is then used to simulate the noise propagation paths in these different frequency bands and analyze the degree of interference these paths have on the sound source. Finally, based on the simulation results, the audio interference parameters for each frequency band are calculated. This multi-band interference analysis can accurately identify the degree of interference that noise in different frequency bands has on the audio output, thereby providing targeted parameters for subsequent volume compensation.

[0082] In some embodiments, determining the multi-band acoustic interference parameter includes:

[0083] Noise frequency band division intervals are set based on the auditory characteristics of the human ear and the operating frequency band of the audio system; the N regional noise spectrum data information is divided into N regional noise frequency band sets according to the noise frequency band division intervals; based on the vehicle noise transmission simulation model, an integrated transmission simulation is performed on the N regional noise frequency band sets and the audio sound source positions to obtain a multi-band noise transmission path; based on the N regional noise frequency band sets and the multi-band noise transmission path, an audio interference analysis is performed to determine the multi-band audio interference parameters.

[0084] Specifically, auditory characteristics refer to the human ear's sensitivity and ability to distinguish between different frequency ranges, conforming to the Fletcher-Munson curve. For example, the human ear is most sensitive to frequencies between 1kHz and 4kHz, with weaker perception of low frequencies (<200Hz) and high frequencies (>10kHz). The operating frequency band of the audio system refers to the effective frequency band of the vehicle's audio system.

[0085] Specifically, based on the auditory characteristics of the human ear and the operating frequency band of the audio system, the environmental noise can be divided into multiple frequency bands. For example, the low frequency band (20Hz-250Hz) corresponds to engine vibration, tire noise, and low-frequency wind noise; the medium frequency band (250Hz-2kHz) corresponds to door air leakage noise and structural resonance; the high frequency band (2kHz-20kHz) corresponds to the friction sound between tires and the road, and sharp wind noise.

[0086] Specifically, multi-band audio interference parameters are used to measure the impact of noise in different frequency bands on the audio system. Exemplary parameters include masking threshold (when the noise intensity in a certain frequency band exceeds this value, the audio signal will be masked), signal-to-noise ratio, sound quality distortion, etc.

[0087] Specifically, first, appropriate noise frequency band divisions are determined based on the human hearing characteristics and the operating frequency band of the audio system. For example, the primary operating frequency band of an audio system is 20Hz-20kHz, which can be divided into low-frequency bands (20Hz-250Hz), mid-frequency bands (250Hz-2kHz), and (2kHz-20kHz) based on the human hearing characteristics. Then, based on these divisions, the noise spectrum data for N regions is divided into corresponding frequency bands to form N regional noise frequency band sets. Next, using a vehicle noise transmission simulation model, these frequency band sets are combined with the locations of the audio sources to perform an integrated transmission simulation to analyze how noise from different frequency bands propagates to key locations within the vehicle, thereby determining the noise transmission paths for each frequency band. Finally, by analyzing the noise intensity and propagation characteristics along these paths, the multi-band audio interference parameters are determined.

[0088] For example, this includes calculating the noise masking threshold for each frequency band to assess the impact of noise on the audio output. It also calculates the signal-to-noise ratio (SNR) between the audio signal and the noise to determine audio clarity. Furthermore, it analyzes the effects of resonance interference, phase distortion, and other factors, taking into account the noise transmission path.

[0089] Through the above steps, multi-band interference analysis based on the human ear's auditory characteristics and the sound system's operating frequency band can accurately identify the degree to which noise interference from different frequency bands affects the sound output, thereby providing targeted parameters for subsequent volume compensation. Furthermore, by combining the human ear's auditory characteristics with the sound system's operating frequency band, compensation strategies can be optimized, reducing unnecessary energy consumption and improving system energy efficiency.

[0090] In some embodiments, determining the multi-band acoustic interference parameter includes:

[0091] The vehicle historical noise data is divided into frequency bands and fitted with transfer attenuation according to the noise frequency band division interval to generate a multi-band noise attenuation function; based on the multi-band noise attenuation function, noise attenuation calculation is performed on the N regional noise frequency band sets and the multi-band noise transmission paths to obtain N regional frequency band attenuated noise sets; according to the performance requirements of the audio system, a multi-band noise interference threshold is set, and noise comparison screening and difference summation calculation are performed on the N regional frequency band attenuated noise sets according to the multi-band noise interference threshold to obtain multi-band interference noise energy intensity; an audio interference evaluation index set is obtained, and an audio interference analysis is performed on the multi-band interference noise energy intensity according to the audio interference evaluation index set to determine the multi-band audio interference parameters.

[0092] Specifically, the multi-band noise attenuation function is a mathematical function used to describe the attenuation law of noise in different frequency bands during the propagation process; the multi-band noise interference threshold refers to the threshold of noise interference intensity set for different frequency bands, which is used to screen out 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.

[0093] Specifically, the system first reads historical vehicle noise data and segments it into frequency bands. Using data fitting methods (such as exponential decay fitting and linear regression), it constructs a multi-band noise attenuation function for subsequent noise propagation calculations. This noise attenuation function quantifies the attenuation of noise transmission within the vehicle. Each noise frequency band has different attenuation characteristics, corresponding to different segments of the multi-band noise attenuation function.

[0094] Specifically, N regional noise frequency band sets and multi-band noise transmission paths are read, and based on the multi-band noise attenuation function, the noise attenuation values ​​in different regions are calculated to generate N regional frequency band attenuation noise sets. These regional frequency band attenuation noise sets reflect the noise conditions after considering the noise attenuation conditions.

[0095] Furthermore, a multi-band noise interference threshold is set according to the performance requirements of the audio system to screen out noise exceeding the threshold and calculate its total interference intensity. For example, N regional frequency band attenuation noise sets are compared according to the threshold, including: noise below the threshold does not affect the audio system and is not calculated, noise above the threshold may cause interference, and the difference exceeding the threshold is calculated, and the sum of the differences is calculated to obtain the multi-band interference noise energy intensity.

[0096] Finally, the energy intensity of multi-band interference noise is analyzed through the sound interference evaluation index set to determine the multi-band sound interference parameters. Among them, the sound interference evaluation index set includes indicators of the sound affected by noise to be evaluated, such as masking effect coefficient, signal-to-noise ratio, distortion, etc. Different indicators have different response characteristics to the energy intensity of interference noise.

[0097] Through a multi-band interference analysis method based on historical data and real-time monitoring, the interference of noise in different frequency bands on the sound system can be more accurately identified and quantified.

[0098] S400: Establishes a multi-band volume adaptive compensation channel and sets the volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity, and driving environment information.

[0099] Specifically, the multi-band adaptive volume compensation channel dynamically adjusts the volume based on preset mapping rules and noise interference in different frequency bands. Volume compensation sensitivity refers to the speed and degree of response to noise changes, typically expressed as a scalar quantity such as a percentage. Driving environment information refers to the vehicle's current driving status, including speed, road conditions, and weather conditions.

[0100] Specifically, the volume dynamic compensation coefficient refers to a volume compensation parameter that is dynamically adjusted according to user preference, sensitivity and driving environment, and is used to control the gain or attenuation of the volume. Optionally, the volume dynamic compensation coefficient is a vector whose direction corresponds to the gain or attenuation of the volume.

[0101] For example, the multi-band adaptive volume compensation channel can learn a user's volume adjustment habits in different driving environments. It then dynamically sets the volume compensation coefficient based on the target user's personal preferences (such as preferred music genre and volume range), volume compensation sensitivity (such as sensitivity to noise changes), and driving environment information (such as current vehicle speed and road conditions). For example, if a user prefers a lower volume but the current ambient noise is high, the system will appropriately increase the volume compensation coefficient based on the sensitivity and environmental information. This step combines the user's personalized needs with the real-time driving environment, enabling dynamic volume adjustment and helping to improve the user experience.

[0102] In some embodiments, establishing a multi-band volume adaptive compensation channel includes:

[0103] Acquire a sound history adjustment data set, divide the sound history adjustment data set into frequency bands according to the noise frequency band division intervals to obtain a multi-band sound adjustment data set; mark the divisions of the multi-band sound adjustment data set to obtain multi-band sound interference data, multi-band volume adaptive compensation parameters, and corresponding compensation effect data; optimize the multi-band sound interference data and the multi-band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi-band volume compensation sample set; and 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.

[0104] Specifically, the audio history adjustment dataset records the user's adjustment data on the audio volume during past driving, including information such as the time, frequency, and amplitude of the adjustment. It is used to train deep neural networks to establish a multi-band volume adaptive compensation channel.

[0105] Specifically, first, the user's historical volume adjustment data is collected, which includes the user's volume adjustment records in different driving environments; then, this data is divided into frequency bands according to the same noise frequency band division intervals as mentioned above to obtain a multi-band audio adjustment data set to maintain the consistency between historical samples and the actual analysis mode; next, the multi-band audio adjustment data set is divided and labeled to extract multi-band audio interference data (reflecting the interference of the audio system in different noise environments), multi-band volume adaptive compensation parameters (the corresponding system or user compensation behavior under different environmental noises), and corresponding compensation effect data (the user's listening feedback after volume compensation).

[0106] Furthermore, by analyzing the compensation effect data, the optimal multi-band sound interference data and compensation parameters are screened out to form a usable multi-band volume compensation sample set. The multi-band volume compensation sample set includes a variety of adjustment sample records that meet the user's expected effects, and is used as training sample data for a multi-band volume adaptive compensation channel based on a deep neural network.

[0107] Furthermore, a deep neural network structure is used to train these samples in parallel to establish a multi-band volume adaptive compensation channel. 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, while improving the adaptability and compensation accuracy of the multi-band volume adaptive compensation channel.

[0108] In some embodiments, setting the volume dynamic compensation coefficient includes:

[0109] The target user's personal preferences are quantitatively evaluated according to the noise frequency band division intervals to determine a multi-band preference weight factor; the volume compensation sensitivity and driving environment information are classified and constrained based on the noise frequency band division intervals to obtain a multi-band volume sensitivity threshold and a multi-band ambient noise ratio; and the volume dynamic compensation coefficient is determined based on an empirical weighted average of the multi-band preference weight factor, the multi-band volume sensitivity threshold, and the multi-band ambient noise ratio.

[0110] Specifically, the multi-band preference weight factor is used to quantitatively represent the target user's volume preference for different frequency bands. For example, if the target user prefers bass enhancement, the preference weight factor of the frequency band is set to a smaller value (such as less than 1 or less than 0, determined based on the logic of the multi-band preference weight factor).

[0111] Specifically, the multi-band volume sensitivity threshold sets a minimum adjustment threshold for volume compensation in different frequency bands. This is used to prevent over-adjustment caused by minor noise fluctuations, thus preventing users from perceiving frequent volume fluctuations. The multi-band ambient noise contribution refers to the contribution of noise in different frequency bands to the overall ambient noise, and is used to assess the impact of noise on the sound system. If the noise contribution of a particular frequency band is high, the compensation strength for that band should be increased accordingly.

[0112] Specifically, first, the target user's historical volume adjustment records (such as equalizer adjustment records or log status) are obtained, and the user's adjustment trends for low, medium, and high frequencies are counted. The average change in volume adjustment in different frequency bands and the adjustment stability in different noise environments are then calculated. Multi-band preference weight factors are calculated through weighting and normalization. For example, if the user frequently increases the low-frequency volume, the low-frequency weight factor is higher; if the user is accustomed to enhancing the clarity of human voices, the mid-frequency weight factor is higher. Then, according to different driving environments and volume compensation requirements, a reasonable compensation sensitivity is set. For example, at low speeds / stationary conditions, the noise is low, the volume compensation requirement is small, and a low compensation sensitivity corresponds to this. At medium speeds, wind noise and tire noise are more obvious, requiring appropriate compensation. At high speeds, the ambient noise is high, requiring a greater compensation sensitivity.

[0113] Furthermore, the frequency band composition of the current ambient noise (the proportion of ambient noise) is analyzed, and the compensation strength and value are determined by combining the multi-band preference weight factor and the multi-band volume sensitivity threshold. The volume dynamic compensation coefficient is determined based on the empirical weighted average method.

[0114] Through the above-mentioned method based on quantitative evaluation and experience-weighted averaging, the volume dynamic compensation coefficient can be accurately set, thereby achieving personalized volume control to meet the needs of different users in different environments.

[0115] S500: 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 sound interference parameters, determine multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

[0116] Specifically, the system calculates the required volume adjustment for each frequency band based on the currently monitored multi-band audio interference parameters (such as noise intensity and interference level in different frequency bands) and the preset dynamic volume compensation coefficient. For example, if low-frequency noise is strong, the low-frequency volume will be increased to offset the noise interference, while if high-frequency noise is weak, no adjustment or only slight adjustment may be required.

[0117] In this way, the multi-band volume adaptive compensation parameters can be dynamically determined to achieve dynamic compensation control, that is, converting the analysis and calculation results of all the previous steps into actual volume adjustment.

[0118] In some embodiments, determining the multi-band volume adaptive compensation parameters includes:

[0119] Based on the multi-band volume adaptive compensation channel, a volume compensation analysis is performed on the multi-band sound interference parameters to output basic multi-band volume compensation parameters; and the basic multi-band volume compensation parameters are dynamically corrected and calculated using the volume dynamic compensation coefficient to determine the multi-band volume adaptive compensation parameters.

[0120] Specifically, first, the multi-band volume adaptive compensation channel uses multi-band audio interference parameters as input data and maps them into corresponding basic multi-band volume compensation parameters. At this time, the basic multi-band volume compensation parameters have not yet taken into account the user's personalized needs; then, the volume dynamic compensation coefficient is used to dynamically correct these basic parameters. The correction process will take into account the user's personal preferences (such as preference for low-frequency volume) and the current driving environment (such as high-speed driving or urban congestion), thereby deriving the final multi-band volume adaptive compensation parameters.

[0121] Through the above steps, it is ensured that the volume adjustment is not only based on real-time noise data, but also combined with the user's personalized needs and driving environment, thereby providing more accurate and comfortable volume control.

[0122] In some embodiments, the method for dynamic compensation of car audio volume in combination with ambient noise further includes:

[0123] A noise abnormality condition is set, and based on the noise abnormality condition, an abnormality determination analysis is performed on the noise spectrum data information of the N regions to obtain a noise abnormality determination result; if the noise abnormality determination result is yes, the adjustment of the volume dynamic compensation coefficient is suspended during the dynamic compensation of the sound volume.

[0124] Specifically, an abnormal noise condition refers to a sudden and significant change in ambient noise, such as when entering a tunnel or passing a large truck. Anomaly determination analysis uses an algorithm to analyze noise spectrum data to determine whether the abnormal noise condition is met.

[0125] Specifically, in the event of abnormal noise, regular compensation coefficient adjustments are suspended, and a special operating mode prioritizes voice clarity. For example, if a vehicle suddenly enters a tunnel, the low-frequency components of the ambient noise increase significantly. This sudden change is detected and identified as a noise anomaly. Adjustments to the dynamic volume compensation coefficient are suspended, and emergency mode is activated, prioritizing voice clarity. Within the overall solution, this step ensures that users can still receive clear voice prompts and communications in extreme or sudden noise environments, thereby improving overall driving safety and user experience.

[0126] In summary, the method for dynamic compensation of car audio volume combined with ambient noise provided by the present invention has the following technical effects:

[0127] By performing key area analysis based on the structural design information of the target vehicle, N key noise areas are determined, and N noise sensors are deployed 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, a multi-band interference analysis is performed on the audio source position to determine the multi-band audio interference parameters; a multi-band volume adaptive compensation channel is established, and at the same time, a volume dynamic compensation coefficient is set according to the target user's personal preference, volume compensation sensitivity and driving environment information; based on the multi-band volume adaptive compensation channel, a volume compensation analysis is performed on the multi-band audio interference parameters using the volume dynamic compensation coefficient to determine the multi-band volume adaptive compensation parameters, and the audio volume dynamic compensation control is performed using the multi-band volume adaptive compensation parameters, thereby achieving the technical effects of improving noise recognition accuracy, multi-dimensional compensation, and improving volume compensation accuracy.

[0128] Example 2, as Figure 2 This is a schematic diagram of the structure of the car audio volume dynamic compensation system combined with environmental noise of the present invention. For example, Figure 1 The flow chart of the method for dynamic compensation of car audio volume in combination with environmental noise in the present invention can be shown as follows: Figure 2 The structure shown is implemented.

[0129] Based on the same concept as the method for dynamically compensating the volume of a car audio system in combination with environmental noise in the aforementioned embodiment, the present invention further provides a system for dynamically compensating the volume of a car audio system in combination with environmental noise, comprising:

[0130] The area analysis module 11 is used to perform key area analysis 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.

[0131] The noise signal acquisition module 12 is configured to receive and acquire N key area noise signals through the N noise sensors, perform spectrum characteristics recognition on the N key area noise signals, and obtain N area noise spectrum data information.

[0132] The multi-frequency interference analysis module 13 is configured to perform multi-frequency interference analysis on the sound source location based on the noise spectrum data information of the N regions, and determine multi-frequency interference parameters.

[0133] The adaptive compensation module 14 is used to establish a multi-band volume adaptive compensation channel and set a volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity and driving environment information.

[0134] The dynamic compensation control module 15 is used to perform volume compensation analysis on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel using the volume dynamic compensation coefficient, determine the multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

[0135] The region analysis module 11 includes:

[0136] The vehicle structure design information associated data mining unit is used to perform associated data mining based on the structure design information of the target vehicle to obtain vehicle historical noise data and vehicle power system characteristics.

[0137] The vehicle noise transfer simulation model establishing unit is used to perform noise transfer simulation based on the vehicle historical noise data and vehicle power system characteristics to establish a vehicle noise transfer simulation model.

[0138] The noise area transfer path set determination unit is used to determine a vehicle noise source set according to vehicle driving condition information, perform noise transfer simulation on the vehicle noise source set based on the vehicle noise transfer simulation model, and determine a noise area transfer path set.

[0139] The key noise area division and marking unit is used to perform transmission frequency statistics and key node extraction on the noise area transmission path set to obtain a 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.

[0140] The noise signal acquisition module 12 includes:

[0141] The noise signal frame length and frame shift determining unit is configured 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.

[0142] The key area noise frame set acquisition unit is used to perform frame processing on the N key area noise signals according to the noise signal frame length and the noise signal frame shift to obtain N key area noise frame sets.

[0143] The regional noise frequency domain signal acquisition unit is used to perform Fourier transform on each frame signal in the N key regional noise frame sets to obtain N regional noise frequency domain signals.

[0144] The regional noise spectrum data information extraction unit is used to extract spectrum features from the N regional noise frequency domain signals and quantify the description to obtain the N regional noise spectrum data information.

[0145] The multi-frequency interference analysis module 13 includes:

[0146] The noise frequency band division interval setting unit is used to set the noise frequency band division interval according to the auditory characteristics of the human ear and the working frequency band of the sound system.

[0147] The regional noise frequency band set division unit is configured to divide the N regional noise spectrum data information into N regional noise frequency band sets according to the noise frequency band division intervals.

[0148] The multi-band noise transmission path acquisition unit is used to perform integrated transmission simulation on the N regional noise frequency band sets and the acoustic sound source positions based on the vehicle noise transmission simulation model to obtain a multi-band noise transmission path.

[0149] The multi-band sound interference parameter determination unit is configured to perform sound interference analysis based on the N regional noise frequency band sets and the multi-band noise transmission path to determine the multi-band sound interference parameters.

[0150] The multi-frequency interference analysis module 13 further includes:

[0151] The multi-band noise attenuation function generating unit is used to perform frequency band division and transfer attenuation fitting on the historical noise data of the vehicle according to the noise frequency band division intervals to generate a multi-band noise attenuation function.

[0152] The regional frequency band attenuation noise set acquisition unit is configured to perform 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 frequency band attenuation noise sets.

[0153] The multi-band interference noise energy intensity calculation unit is used to set the multi-band noise interference threshold according to the performance requirements of the audio system, perform noise comparison screening and difference sum calculation on the N regional band attenuation noise sets according to the multi-band noise interference threshold, and obtain the multi-band interference noise energy intensity.

[0154] The multi-band sound interference parameter determination unit is configured to obtain a sound interference evaluation index set, perform sound interference analysis on the multi-band interference noise energy intensity according to the sound interference evaluation index set, and determine the multi-band sound interference parameters.

[0155] The adaptive compensation module 14 includes:

[0156] The sound history adjustment data set acquisition unit is used to acquire the sound history adjustment data set, divide the sound history adjustment data set into frequency bands according to the noise frequency band division intervals, and obtain a multi-band sound adjustment data set.

[0157] The multi-band sound interference data and compensation parameter extraction unit is used to divide and identify the multi-band sound adjustment data set to obtain multi-band sound interference data, multi-band volume adaptive compensation parameters and corresponding compensation effect data.

[0158] The available multi-band volume compensation sample set acquisition unit is used to optimize the multi-band sound interference data and the multi-band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi-band volume compensation sample set.

[0159] A multi-band volume adaptive compensation channel establishing unit is configured 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.

[0160] The adaptive compensation module 14 further includes:

[0161] The multi-band preference weight factor determination unit is configured to quantitatively evaluate the target user's personal preference according to the noise frequency band division intervals and determine the multi-band preference weight factor.

[0162] The multi-band volume sensitivity threshold and ambient noise ratio acquisition unit 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.

[0163] The volume dynamic compensation coefficient determination unit is used to determine the volume dynamic compensation coefficient according to the multi-band preference weight factor, the multi-band volume sensitivity threshold and the empirical weighted average of the multi-band ambient noise proportion.

[0164] The dynamic compensation control module 15 includes:

[0165] The basic multi-band volume compensation parameter output unit is used to perform volume compensation analysis on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel and output basic multi-band volume compensation parameters.

[0166] The multi-band volume adaptive compensation parameter determination unit is configured to dynamically modify and calculate the basic multi-band volume compensation parameter using the volume dynamic compensation coefficient to determine the multi-band volume adaptive compensation parameter.

[0167] In some implementations, the system for dynamically compensating car audio volume in combination with ambient noise further includes:

[0168] The noise abnormality condition setting and judgment unit is used to set the noise abnormality condition, perform abnormality judgment analysis on the noise spectrum data information of the N regions based on the noise abnormality condition, and obtain a noise abnormality judgment result.

[0169] The volume compensation adjustment control unit is used to suspend the adjustment of the volume dynamic compensation coefficient during the dynamic compensation of the sound volume if the noise abnormality determination result is yes.

[0170] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment 1 are also applicable to the car audio volume dynamic compensation system combined with environmental noise described in embodiment 2. For the sake of brevity of the specification, no further elaboration is given here.

[0171] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the embodiments mentioned above. It should be understood that those skilled in the art can still modify the technical solutions described in the above embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention and are all included in the scope of protection of the present invention.

Claims

1. A method for dynamic compensation of car audio volume in combination with ambient noise, characterized in that: include: Performing a key area analysis based on the structural design information of the target vehicle, determining N key noise areas, and deploying N noise sensors in the N key noise areas; Receiving and acquiring N key area noise signals through the N noise sensors, performing spectrum characteristics recognition on the N key area noise signals, and obtaining N area noise spectrum data information; Performing a multi-band interference analysis on the sound source location based on the noise spectrum data information of the N regions to determine the multi-band sound interference parameters; Establish a multi-band volume adaptive compensation channel and set the volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity, and driving environment information; 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 sound interference parameters, determine the multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

2. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 1, wherein: The determining of N key noise areas includes: Performing associated data mining based on the structural design information of the target vehicle to obtain historical vehicle noise data and vehicle power system characteristics; Performing noise transmission simulation based on the historical noise data of the vehicle and the characteristics of the vehicle power system to establish a vehicle noise transmission simulation model; Determining a set of vehicle noise sources based on vehicle driving condition information, performing noise transmission simulation on the set of vehicle noise sources based on the vehicle noise transmission simulation model, and determining a set of noise area transmission paths; The transmission frequency statistics and key node extraction are performed on the noise area transmission path set to obtain a noise key transmission node set, and regional division and marking are performed based on the noise key transmission node set to determine the N key noise areas.

3. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 1, wherein: The obtaining of N regional noise spectrum data information includes: Determine the noise signal frame length and noise signal frame shift according to the distribution characteristic information of the noise signals in the N key areas and the noise analysis requirements; Performing frame processing on the N key area noise signals according to the noise signal frame length and the noise signal frame shift to obtain N key area noise frame sets; Performing Fourier transform on each frame signal in the N key region noise frame sets to obtain N region noise frequency domain signals; Spectral features are extracted from the N-region noise frequency domain signals and quantified to obtain the N-region noise spectrum data information.

4. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 2, wherein: The determining of the multi-band sound interference parameters includes: Set the noise frequency band division interval according to the human hearing characteristics and the working frequency band of the sound system; Dividing the N regional noise spectrum data information into N regional noise frequency band sets according to the noise frequency band division interval; Performing an integrated transmission simulation on the N regional noise frequency band sets and the acoustic sound source positions based on the vehicle noise transmission simulation model to obtain a multi-band noise transmission path; An acoustic interference analysis is performed based on the N regional noise frequency band sets and the multi-band noise transmission path to determine multi-band acoustic interference parameters.

5. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 4, wherein: The determining of the multi-band sound interference parameters includes: Performing frequency band division and transfer attenuation fitting on the historical noise data of the vehicle 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 frequency band attenuated noise sets; According to the performance requirements of the sound system, a multi-band noise interference threshold is set, and noise comparison and screening and difference summation are performed 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; Acquire an acoustic interference evaluation index set, perform acoustic interference analysis on the multi-band interference noise energy intensity according to the acoustic interference evaluation index set, and determine the multi-band acoustic interference parameters.

6. The method for dynamic volume compensation of automobile audio system in combination with environmental noise according to claim 4, wherein: The step of establishing a multi-band volume adaptive compensation channel includes: Acquiring a sound history adjustment data set, dividing the sound history adjustment data set into frequency bands according to the noise frequency band division intervals to obtain a multi-band sound adjustment data set; dividing and marking the multi-band sound adjustment data set to obtain multi-band sound interference data, multi-band volume adaptive compensation parameters, and corresponding compensation effect data; Optimizing the multi-band sound interference data and the multi-band volume adaptive compensation parameters according to the compensation effect data to obtain an available multi-band volume compensation sample set; The available multi-band volume compensation sample set is trained in parallel using a deep neural network structure to establish the multi-band volume adaptive compensation channel.

7. The method for dynamic volume compensation of automobile audio system in combination with environmental noise according to claim 4, wherein: The step of setting the volume dynamic compensation coefficient includes: Quantitatively evaluate the target user's personal preferences according to the noise frequency band division intervals, and determine multi-band preference weight factors; Classifying and constraining 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 proportions; The volume dynamic compensation coefficient is determined according to the multi-band preference weight factor, the multi-band volume sensitivity threshold, and an empirical weighted average of the multi-band ambient noise ratio.

8. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 1, wherein: The determining of the multi-band volume adaptive compensation parameters includes: Performing volume compensation analysis on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel, and outputting basic multi-band volume compensation parameters; The volume dynamic compensation coefficient is used to perform dynamic correction calculation on the basic multi-band volume compensation parameter to determine the multi-band volume adaptive compensation parameter.

9. The method for dynamic volume compensation of car audio combined with ambient noise according to claim 1, wherein: Also includes: Setting a noise abnormality condition, and performing abnormality determination analysis on the noise spectrum data information of the N regions based on the noise abnormality condition to obtain a noise abnormality determination result; If the noise abnormality determination result is yes, the adjustment of the volume dynamic compensation coefficient is suspended during the sound volume dynamic compensation.

10. A car audio volume dynamic compensation system combined with ambient noise, characterized in that: The method for dynamically compensating the volume of a car audio system in combination with ambient noise according to any one of claims 1 to 9 comprises: A region analysis module 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; A noise signal acquisition module is used to receive and acquire N key area noise signals through the N noise sensors, perform spectrum characteristics recognition on the N key area noise signals, and obtain N area noise spectrum data information; A multi-frequency interference analysis module, configured to perform multi-band interference analysis on the sound source location based on the noise spectrum data information of the N regions, and determine multi-band sound interference parameters; The adaptive compensation module is used to establish a multi-band volume adaptive compensation channel and set the volume dynamic compensation coefficient based on the target user's personal preferences, volume compensation sensitivity, and driving environment information; A dynamic compensation control module is used to perform volume compensation analysis on the multi-band sound interference parameters based on the multi-band volume adaptive compensation channel using the volume dynamic compensation coefficient, determine the multi-band volume adaptive compensation parameters, and perform sound volume dynamic compensation control using the multi-band volume adaptive compensation parameters.

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