Loudspeaker detection system in high-reliability demand environment

Abstract

The invention discloses a loudspeaker detection system in a high-reliability demand environment, and relates to the technical field of loudspeaker detection, and the loudspeaker detection system is used for generating and outputting a preset level signal, and supporting the switching of a single-path manual detection mode, a multi-path manual detection mode, an automatic multi-path detection mode and an aging detection mode; output signals are collected in real time through a current sampling resistor connected to the output end of the loudspeaker in series, sound frequency and intensity parameters of the output signals are analyzed, and whether the loudspeaker function is normal or not is judged; wherein the frequency parameter is consistent with the output signal frequency of the driving board, and the intensity parameter is positively correlated with the output signal current; sampling results of multi-channel manual detection are received, cross interference data of multi-channel test units are collected at the same time through a sampling resistor, and a compatibility rating result is generated; and receiving data of automatic multi-path detection as a health index calculation benchmark, and evaluating a performance attenuation trend and residual life.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of loudspeaker detection, and in particular to a loudspeaker detection system in a high-reliability requirement environment. BACKGROUND

[0002] In high-reliability application environments such as medical devices, aerospace, and industrial control, loudspeakers as key acoustic alarm components, their performance reliability is directly related to the safe operation of the entire system. However, the existing loudspeaker detection technology has significant limitations: traditional methods mainly rely on manual listening judgment and single-parameter electrical performance testing, the detection means is highly subjective, affected by multiple factors such as individual hearing differences, environmental noise interference, and operator fatigue, resulting in a lack of objectivity and repeatability of the test results; low testing efficiency, existing devices usually only support single-channel testing, which cannot meet the parallel detection needs of multi-loudspeaker systems, severely restricting production efficiency, especially in batch production scenarios; lack of comprehensive performance evaluation system, mainly focusing on basic electrical parameter testing, but lacking effective detection means for key indicators such as electromagnetic compatibility characteristics when multiple loudspeakers work together, performance decay trend under long-term operation, influence of environmental temperature and humidity changes on performance, and response consistency under different alarm modes; insufficient fault prediction capability, only binary judgment of pass or fail, unable to provide early fault warning and remaining life prediction, posing a safety hazard for high-reliability application scenarios; lack of quantitative index system, making it difficult to grade and evaluate loudspeaker performance and track quality, affecting continuous improvement of product quality; low degree of intelligence, testing equipment lacks data analysis and decision support functions, relying on manual recording and analysis, prone to errors and difficult to achieve big data trend analysis. These technical defects seriously restrict the performance guarantee capability of loudspeaker systems in high-reliability environments, and there is an urgent need to develop a new loudspeaker testing system that can realize automated, multi-parameter, and intelligent detection to meet the growing demand for high reliability. SUMMARY

[0003] The present application provides a loudspeaker detection system in a high-reliability requirement environment, which solves the problems of subjective detection means, low testing efficiency, lack of comprehensive performance evaluation, insufficient fault prediction capability, lack of quantitative index system, and low degree of intelligence in the prior art, and realizes the technical effects of automated, multi-parameter, and intelligent loudspeaker comprehensive performance detection and health management.

[0004] The present application provides a loudspeaker detection system in a high-reliability requirement environment, which includes: A main control module for generating and outputting a preset level signal, and supporting switching of single-channel manual detection, multi-channel manual detection, automatic multi-channel detection, and aging detection modes; The detection module receives a preset level signal, collects the output signal in real time through a current sampling resistor connected in series with the output end of the loudspeaker, analyzes the sound frequency and intensity parameters of the output signal, and determines whether the loudspeaker function is normal; wherein the frequency parameter is consistent with the output signal frequency of the driving board, and the intensity parameter is positively correlated with the output signal current size; The electromagnetic compatibility analysis module receives the sampling results of the multi-channel manual detection, collects the cross interference data of the multi-channel test units through the sampling resistor at the same time, performs frequency spectrum analysis and time domain correlation processing on the collected multi-channel signals, and generates a compatibility rating result; The performance prediction and health management module receives the data of the automatic multi-channel detection as a health index calculation benchmark, evaluates the performance attenuation trend and remaining life, and outputs the prediction result.

[0005] Further, the single-channel manual detection is an independent test by selecting any one test unit and manually inputting a level signal; The multi-channel manual detection is a parallel test by selecting multiple units through a code switch and synchronously applying signals; The automatic multi-channel detection is a system automatic cycle output of three kinds of alarm modes and completion of consistency judgment; the three kinds of alarm modes include a single tone continuous alarm mode, a double tone alternate alarm mode, and a pulse modulation alarm mode; The aging detection is a durability test by setting a duration and automatically outputting a random signal sequence by the system.

[0006] Further, the determination of whether the loudspeaker function is normal includes: comparing the real-time collected output signal frequency with the preset theoretical frequency, the frequency deviation tolerance is ±2%; comparing the real-time collected output signal current intensity with the preset theoretical current value, the current deviation tolerance is ±5%; when the frequency deviation and the current deviation simultaneously meet the respective tolerance requirements, it is determined that the loudspeaker function is normal; when either the frequency deviation or the current deviation exceeds the tolerance requirement, it is determined that the loudspeaker function is abnormal, and the specific abnormal parameter is identified.

[0007] Further, the cross interference data includes: crosstalk ratio between channels, phase difference data of each channel output signal, signal correlation coefficient between channels, power bus coupling noise amplitude, and ground return interference level synchronously collected by the multi-channel test unit.

[0008] Further, the frequency spectrum analysis includes: converting the time domain signal to the frequency domain signal by using the fast Fourier transform algorithm, analyzing the sound frequency parameter of the output signal; calculating the total harmonic distortion degree of the signal according to the frequency spectrum analysis result, analyzing the harmonic component and its amplitude ratio; when performing frequency response curve analysis, evaluating the sensitivity characteristics of the loudspeaker at different frequency points; when performing frequency spectrum comparison analysis, comparing the measured frequency spectrum with the theoretical frequency spectrum for difference.

[0009] Further, the time domain correlation processing includes: performing time domain waveform analysis on the collected multi-channel signals to obtain time domain waveform parameters including rise time, fall time and steady state establishment time of each channel output signal; calculating time synchronization accuracy between the multi-channel signals based on the time domain waveform parameters; analyzing multi-channel signal waveform similarity through cross-correlation function, using time domain waveform parameters as input features to obtain inter-channel signal correlation coefficients; and completing compatibility rating with the aid of time domain analysis results.

[0010] Further, the health index is a comprehensive performance score calculated according to multi-channel detection data: , wherein, is the health index, is the frequency stability score, is the current stability score, is the harmonic distortion score, is the response consistency score, is the corresponding weight, and .

[0011] Further, the frequency stability score is calculated according to a frequency deviation tolerance, and the formula is: , wherein, is the frequency stability score, is the frequency deviation, is the tolerance ratio, is the stability coefficient, is used to convert the stability coefficient into a percentage score; The current stability score is calculated according to a current deviation tolerance, and the formula is: , wherein, is the current stability score, is the current deviation, is the tolerance ratio, is the stability coefficient; The harmonic distortion score is calculated according to a total signal harmonic distortion, and the formula is: , wherein, is the harmonic distortion score, is the total signal harmonic distortion, is the maximum allowed harmonic distortion, which is 3%; The response consistency score is calculated according to time domain waveform parameters, and the formula is: , wherein, is a response consistency score, is a rise time consistency score, is a fall time consistency score, is a steady state establishment time consistency score; The consistency degree calculation is respectively based on the rise time, the fall time and the steady state establishment time, and the formula is: , wherein, is a consistency score, is a standard deviation, is a mean value, is a consistency coefficient.

[0012] One or more technical solutions provided in the application have at least the following technical effects or advantages: The signal parameters are collected in real time through the current sampling resistor, the frequency stability, the current stability, the harmonic distortion degree and the multi-channel response consistency are precisely measured by combining the fast Fourier transform and the time domain analysis technology, the single road manual, the multi-channel synchronization, the automatic cycle and the aging test are supported through the four mode intelligent switching system, the performance attenuation trend prediction and the remaining life evaluation are realized through the health index model, the intelligent loudspeaker detection system integrating the objective detection, the batch test and the health management is constructed, and the detection precision, the efficiency and the reliability of the loudspeaker system in the high reliability environment are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 Fig. 1 is a high reliability demand environment loudspeaker detection system architecture diagram in the embodiments of the present application. DETAILED DESCRIPTION

[0014] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the related drawings; the preferred embodiments of the present application are shown in the drawings, however, the present application can be realized in many different forms, and is not limited to the embodiments described herein; on the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0015] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs; the terms used herein in the specification of the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the present application; the term "and / or" used herein includes any and all combinations of one or more related listed items.

[0016] Embodiment one: asFigure 1 The application discloses a horn detection system in a high-reliability requirement environment.

[0017] The master control module is used for generating and outputting preset level signals, and supporting switching of single-channel manual detection, multi-channel manual detection, automatic multi-channel detection and aging detection modes. Specifically, a plurality of horn test units are adopted, for example, five groups of horn test units, and a mode is selected through a scroll button of a display screen; when the single-channel manual detection mode is selected, a specific test unit is selected, a master control module controls a signal simulation switch to output a specified level, meanwhile, data collection of the sampling resistor of the channel is started, and frequency and current parameters are analyzed in real time; when the multi-channel manual detection mode is selected, a plurality of units are selected, the master control module synchronously generates the same level signals to all selected units, and multi-channel data are collected in parallel; when the automatic multi-channel detection mode is selected, a time sequence control logic is built-in, three kinds of alarm modes (single-tone continuous alarm mode, double-tone alternate alarm mode and pulse modulation alarm mode) are automatically and circularly output, and each mode lasts for 30 seconds; when the aging detection mode is selected, according to a set duration, the master control module randomly generates three kinds of alarm mode signals, and circularly outputs and records performance attenuation data.

[0018] When the detection is performed, the master control module collects voltage data of the sampling resistor in real time through an analog-to-digital converter (ADC) channel, calculates the frequency and current of the output signal, compares the frequency and current with preset theoretical values, dynamically judges the function state of the horn module, and immediately triggers an audible and light alarm and identifies specific fault parameters when an abnormality occurs.

[0019] The detection module receives the preset level signals, collects the output signals in real time through the current sampling resistor connected in series at the output end of the horn, analyzes sound frequency and intensity parameters of the output signals, and judges whether the horn function is normal; the frequency parameter is consistent with the frequency of the output signal of the driving board, and the intensity parameter is positively correlated with the size of the output signal current; The collected output signal frequency is compared with a preset theoretical frequency, the frequency deviation tolerance is ±2%, the collected output signal current intensity is compared with a preset theoretical current value, the current deviation tolerance is ±5%, when the frequency deviation and the current deviation both meet the respective tolerance requirements, the horn function is determined to be normal, and when either the frequency deviation or the current deviation exceeds the tolerance requirement, the horn function is determined to be abnormal, and specific abnormal parameters are identified.

[0020] Specifically, the output signal is collected in real time by a current sampling resistor connected in series at the output end of the loudspeaker, the sampling resistor has a resistance of 0.1 Ω ± 1%, a power level of 2 W, and a temperature coefficient of less than ± 50 ppm / °C, thereby ensuring the measurement accuracy within a working temperature range of -40 °C to +85 °C. The signal is digitized at a sampling rate of 100 kS / s by using a 16-bit high-precision ADC, the sound frequency parameters of the output signal are analyzed based on a fast Fourier transform (FFT) algorithm, a 2048-point FFT transform is used to meet the accuracy requirement of audio signal analysis, and the intensity of the output signal is calculated according to Ohm's law. The frequency parameters are strictly consistent with the frequency of the output signal of the driving board, the intensity parameters are in a linear positive correlation with the current of the output signal, the ambient temperature is monitored in real time, the measurement results are compensated by using a temperature compensation coefficient of 0.01% / °C, and the measurement accuracy is ensured to be not affected by temperature changes.

[0021] The collected output signal frequency is compared with a preset theoretical frequency, the frequency deviation is calculated by using a sliding window algorithm, and the frequency deviation tolerance is ± 2%; the collected output signal current intensity is compared with a preset theoretical current value, and the current deviation tolerance is ± 5%. When the frequency deviation and the current deviation both meet the respective tolerance requirements, it is determined that the loudspeaker function is normal; when either the frequency deviation or the current deviation exceeds the tolerance requirement, it is determined that the loudspeaker function is abnormal.

[0022] The system establishes an abnormal parameter identification system, including frequency deviation high, frequency deviation low, current deviation large, current deviation small, signal distortion abnormality, and response delay abnormality. When an abnormality is detected, the abnormality timestamp, abnormality type, deviation degree, and environmental parameters are automatically recorded, and an abnormality analysis report is provided through a display screen.

[0023] The electromagnetic compatibility analysis module receives the sampling results of the multiple manual detections, collects the cross-interference data of the multiple test units at the same time through the sampling resistor, performs frequency spectrum analysis and time domain correlation processing on the collected multiple signals, and generates a compatibility rating result. Specifically, the received sampling results of the multiple manual detections are subjected to signal preprocessing. First, a high-pass filter with a cutoff frequency of 0.1 Hz is used to eliminate the direct current bias component, thereby ensuring the purity of the alternating current signal. Then, a 50 Hz notch filter is used to suppress the power frequency interference, the filter has a stopband width of ± 2 Hz and achieves a decay depth of -40 dB, thereby effectively eliminating the power grid frequency interference. Finally, dynamic baseline correction is performed through an adaptive digital filtering algorithm.

[0024] Frequency spectrum analysis is performed based on a fast Fourier transform algorithm, and the harmonic distortion degree is calculated as follows: , wherein, is the total harmonic distortion degree, Veff is the effective value of the fundamental voltage, Veff is the effective value of the nth harmonic voltage, n is the harmonic number, and n is in the range of 2 to 9.

[0025] The time domain analysis adopts a multi-parameter comprehensive evaluation method, including the rise time required for the signal amplitude to rise from 10% to 90%, the fall time required for the signal amplitude to fall from 90% to 10%, the steady-state establishment time required for the signal to enter and remain within the ±2% error band of the final value, and the calculation of time synchronization accuracy: , wherein, is the time synchronization accuracy, is the rise time of the ith channel, is the average rise time.

[0026] The similarity of multi-channel signal waveforms is analyzed by cross-correlation function: , wherein, is the cross-correlation function, is the time delay, is the two signals to be compared, is the integral time length, is the normalization factor for calculating the time average, is the product of and is the integral of the product from time 0 to T.

[0027] The waveform similarity is evaluated by the normalized cross-correlation coefficient: , wherein, is the normalized cross-correlation coefficient of signal and signal , is the cross-correlation function value at zero lag, is the value of the autocorrelation function of signal at zero lag, is the value of the autocorrelation function of signal at zero lag.

[0028] A complete cross-interference test system is established, and the frequency domain amplitude ratio method is adopted to measure the crosstalk ratio between channels: , wherein, is the crosstalk ratio, is the conversion coefficient, is the interference voltage, is the main signal voltage.

[0029] Phase difference data is analyzed by zero-crossing detection method: , where, is the phase difference between two signals of the same frequency, is the fundamental frequency of the signal, is the time difference between two signals, is a complete cycle.

[0030] The correlation coefficient is calculated using the normalized cross-correlation algorithm: , where, is the correlation coefficient, is the i-th sample data of two channels, is the average value of two channel data.

[0031] Compatibility rating is generated: , where, is the compatibility score, is the crosstalk ratio score, the calculation formula is: , ≥-50dB is 0, <−60dB is 100 points; is the phase difference score, the calculation formula is: , ≥15° is 0, ≤5° is 100 points; is the signal correlation score, the calculation formula is: , ≤0.90 is 0, ≥0.98 is 100 points; is the power supply noise score, the calculation formula is: , is the peak-to-peak value of the power bus noise measured by spectral analysis, ≥30mV is 0, ≤10mV is 100 points; is the ground interference score, the calculation formula is: , is the ground noise voltage captured by differential measurement method, ≥15mV is 0, ≤5mV is 100 points. 、 、 is the corresponding weight, and the sum of the weights is 1.

[0032] When ≥ 80 points, classified as excellent level; 60 points ≤ < 80 points, classified as good level; <60 points, classified as to be improved level. Output the rating results, including the measured values of each parameter, the corresponding scores, the comprehensive score and the level conclusion.

[0033] The technical solutions in the embodiments of the present application have at least the following technical effects or advantages: The present application adopts a multi-module cooperative architecture design, realizes intelligent switching of four modes of single manual detection, multi-channel manual detection, automatic multi-channel detection and aging detection through a master control module, realizes real-time collection of loudspeaker output signals by using a high-precision current sampling resistor, accurately analyzes sound frequency parameters based on a fast Fourier transform algorithm, and calculates current intensity through Ohm's law, thereby realizing accurate measurement of frequency stability and current stability; the electromagnetic compatibility analysis module is used for performing frequency spectrum analysis and time domain correlation processing on multi-channel signals, calculating parameters such as crosstalk ratio, phase difference, signal correlation coefficient, power supply noise and ground line interference, generating a compatibility rating based on a weighted scoring model, and supporting three-level classification of excellent, good and to be improved; the detection accuracy, test efficiency and reliability of the loudspeaker system in a high-reliability environment are significantly improved, and the problems of strong subjectivity, low efficiency, lack of comprehensive evaluation and prediction ability in the traditional method are solved.

[0034] Embodiment Two: In embodiment one, the loudspeaker function normality judgment, multi-channel signal synchronous detection and compatibility rating are realized through the master control module, the detection module and the electromagnetic compatibility analysis module, but there is a problem that early performance degradation of the loudspeaker module is difficult to identify, and the present embodiment further supplements embodiment one.

[0035] The performance prediction and health management module: receives data of automatic multi-channel detection as a health index calculation benchmark, evaluates performance degradation trend and remaining life, and outputs prediction results.

[0036] Specifically, the module receives real-time data stream of automatic multi-channel detection, including frequency deviation, current deviation, total harmonic distortion, time domain waveform parameters and multi-channel response consistency data.

[0037] The health index is a comprehensive performance score calculated according to multi-channel detection data: , wherein, is the health index, is the frequency stability score, is the current stability score, is the harmonic distortion score, is the response consistency score, is the corresponding weight, and The user can adjust the weight according to the application scenario.

[0038] The frequency stability score is calculated according to the frequency deviation tolerance, and the formula is: , wherein, is the frequency stability score, is the frequency deviation, is the tolerance ratio, is the stability coefficient, is used to convert the stability coefficient into a percentage score; when ≥2%, =0; the smaller the deviation, the higher the score.

[0039] The current stability score is calculated according to the current deviation tolerance, and the formula is: , wherein, is the current stability score, is the current deviation, is the tolerance ratio, is the stability coefficient; when ≥5%, =0.

[0040] The harmonic distortion score is calculated according to the total signal harmonic distortion, and the formula is: , wherein, is the harmonic distortion score, is the total signal harmonic distortion, is the maximum allowed harmonic distortion, which is 3%.

[0041] The response consistency score is calculated according to the time-domain waveform parameters, and the formula is: , wherein, is the response consistency score, is the rise time consistency score, is the fall time consistency score, is the steady-state establishment time consistency score. The consistency degree based on the rise time, fall time and steady-state establishment time respectively is calculated, and the formula is: , wherein, is the consistency score, is the standard deviation, is the average value, if = 0, the score is 0, = 1.5 is a consistency coefficient, used to amplify the difference sensitivity.

[0042] The system continuously records the health index of each automatic multi-path detection, and establishes an index decay model for performance trend fitting: , Where, is the health index value at time t, is the initial health index, is the decay coefficient, calculated from historical data. Set The drop rate threshold (such as a single detection drop of more than 5%), triggers early warning, and identifies potential failures.

[0043] According to the high reliability environment requirement, set Failure threshold to 60, that is, below this value, the horn performance is unreliable; based on the current Value and decay trend, calculate the remaining life: , Where, is the remaining life, is the current health state value, is the health index critical value, set to 60, is the decay coefficient, fitted from historical health index data. If , In combination with Monte Carlo simulation, generate the probability distribution of the remaining life, such as the RUL range under the 90% confidence interval, to improve the prediction reliability.

[0044] Output the prediction results in the form of structured data, including the current health index and classification, performance decay curve diagram, remaining life estimate and confidence interval, maintenance recommendations. When Below the threshold or the decay rate is abnormal, prompt the operator through sound and light alarm or network notification.

[0045] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages: The application receives real-time data stream of automatic multi-path detection through a performance prediction and health management module, calculates a health index as a comprehensive performance score, the index fuses evaluation results of multiple dimensions such as frequency stability, current stability, harmonic distortion and response consistency, and adopts a weighted summation method to ensure comprehensiveness; the system continuously monitors the change of the health index, establishes a performance degradation model to analyze the trend, and calculates the remaining life based on the current health state and the preset failure threshold, and combines statistical simulation to generate a confidence interval to improve the prediction reliability; finally, a structured report is output, including health state classification, degradation curve visualization, life estimation and maintenance suggestions, realizing accurate identification and preventive maintenance of early performance degradation of the horn, thereby significantly improving the intelligent management level and overall reliability of the system under a high reliability environment.

[0046] The above merely describes the preferred embodiments of the present application and is not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A horn detection system in a high reliability requirement environment, characterized by, The application relates to a loudspeaker testing system. The main control module is used for generating and outputting preset level signals and supporting the switching of single-channel manual detection, multi-channel manual detection, automatic multi-channel detection and aging detection modes. The detection module receives the preset level signals, collects output signals in real time through current sampling resistors connected in series at loudspeaker output ends, analyzes sound frequency and intensity parameters of the output signals, and judges whether the loudspeaker functions normally; the frequency parameter is consistent with the frequency of the output signal of the driving board, and the intensity parameter is positively correlated with the size of the output signal current. The electromagnetic compatibility analysis module receives sampling results of the multi-channel manual detection, simultaneously collects cross interference data of the multi-channel test units through the sampling resistors, performs frequency spectrum analysis and time domain correlation processing on the collected multi-channel signals, and generates compatibility rating results. The performance prediction and health management module receives data of the automatic multi-channel detection as a health index calculation benchmark, evaluates performance attenuation trends and residual life, and outputs prediction results.

2. The horn detection system of claim 1, wherein, The single-channel manual detection is independent testing by selecting any one test unit and manually inputting level signals. The multi-channel manual detection is parallel testing by selecting multi-channel units through a code switch and synchronously applying signals. The automatic multi-channel detection is automatic circulation of the system to output three kinds of alarm modes and complete consistency judgment; the three kinds of alarm modes include a single-tone continuous alarm mode, a double-tone alternate alarm mode and a pulse modulation alarm mode. The aging detection is durability testing by setting a continuous time and automatically outputting random signal sequences by the system.

3. The horn detection system of claim 1, wherein, The judgment of whether the loudspeaker functions normally includes: comparing the frequency of the real-time collected output signal with a preset theoretical frequency, the frequency deviation tolerance is + / - 2%; comparing the current intensity of the real-time collected output signal with a preset theoretical current value, the current deviation tolerance is + / - 5%; when the frequency deviation and the current deviation simultaneously meet the respective tolerance requirements, the loudspeaker function is determined to be normal; when either the frequency deviation or the current deviation exceeds the tolerance requirement, the loudspeaker function is determined to be abnormal, and the specific abnormal parameter is identified.

4. The horn detection system of claim 1, wherein, The cross interference data include: crosstalk ratios between channels, phase difference data of output signals of the channels, signal correlation coefficients between channels, power bus coupling noise amplitudes and ground return interference levels synchronously collected through the multi-channel test units.

5. The horn detection system of claim 1, wherein, The frequency spectrum analysis includes: converting time domain signals into frequency domain signals by using a fast Fourier transform algorithm, analyzing sound frequency parameters of the output signals; calculating signal total harmonic distortion degrees according to the frequency spectrum analysis results, analyzing harmonic components and amplitude proportions thereof; when performing frequency response curve analysis, the sensitivity characteristics of the loudspeaker at different frequency points are evaluated; when performing frequency spectrum comparison analysis, the measured frequency spectrum is compared with a theoretical frequency spectrum in terms of difference.

6. The horn detection system of claim 1, wherein, The time domain correlation processing includes: performing time domain waveform analysis on the collected multi-channel signals to obtain time domain waveform parameters including rise time, fall time and steady state establishment time of each channel output signal; calculating time synchronization accuracy between the multi-channel signals based on the time domain waveform parameters; analyzing multi-channel signal waveform similarity through cross-correlation function, using time domain waveform parameters as input characteristics to obtain inter-channel signal correlation coefficient; and completing compatibility rating according to the time domain analysis result to assist spectral analysis.

7. The horn detection system of claim 1, wherein, The health index is a comprehensive performance score calculated according to multi-channel detection data: ， wherein, is a health index, is a frequency stability score, is a current stability score, is a harmonic distortion score, is a response consistency score, is a corresponding weight, and .

8. The horn detection system of claim 7, wherein the at least one processor is further configured to: determine a distance between the vehicle and the horn based on the at least one audio signal; and determine the presence of the horn based on the distance and the at least one audio signal. The frequency stability score is calculated according to a frequency deviation tolerance, and the formula is: ， wherein, is a frequency stability score, is a frequency deviation, is a tolerance ratio, is a stability coefficient, for converting the stability coefficient into a percentage score; The current stability score is calculated according to a current deviation tolerance, and the formula is: ， wherein, is a current stability score, is a current deviation, is a tolerance ratio, is a stability coefficient; The harmonic distortion score is calculated according to a total harmonic distortion degree of the signal, and the formula is: ， wherein, is the harmonic distortion score, is the total harmonic distortion of the signal, is the maximum allowed harmonic distortion, which is 3%. The response consistency score is calculated according to time domain waveform parameters, and the formula is: ， in, In response to the consistency score, For rise time consistency scoring, For descent time consistency scoring, Establish a time consistency score for steady state; The degree of consistency is calculated based on the rise time, fall time and steady state settling time, respectively, and the formula is: ， wherein, is the consistency score, is the standard deviation, is the mean, is the coefficient of consistency.

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