CN117688515A

CN117688515A - Sound quality evaluation method and device for air compressor, storage medium and electronic equipment

Info

Publication number: CN117688515A
Application number: CN202410157996.0A
Authority: CN
Inventors: 张中业; 王德成; 李卫; 马庆镇; 翟旭茂
Original assignee: Weichai Power Co Ltd
Current assignee: Weichai Power Co Ltd
Priority date: 2024-02-04
Filing date: 2024-02-04
Publication date: 2024-03-12
Anticipated expiration: 2044-02-04
Also published as: CN117688515B

Abstract

The application provides an acoustic quality evaluation method and device of an air compressor, a storage medium and electronic equipment. The method comprises the following steps: acquiring a plurality of sound sources at different positions of an air compressor, acquiring single evaluation indexes of each sound source, respectively acquiring the ratio of energy in the characteristic frequency band range of each sound source to total noise energy to obtain a plurality of ratios, respectively corresponding the sound sources to the ratios and the single evaluation indexes one by one, and carrying out weighted summation on the plurality of single evaluation indexes and the plurality of ratios to obtain comprehensive evaluation indexes of the plurality of sound sources; and determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. The sound quality evaluation criteria of a single sound source are formed by separating sound sources at different positions under the working state of the air compressor, then the total frequency spectrum is generated by combining the characteristic frequency bands of each sound source, the sound is corrected based on the masking effect of the sound, and finally the sound quality evaluation criteria of all sound sources and considering the contribution quantity of the sound sources can be obtained, and the evaluation result is closer to reality.

Description

Sound quality evaluation method and device for air compressor, storage medium and electronic equipment

Technical Field

The present invention relates to the technical field of air compressor evaluation, and in particular, to a method and an apparatus for evaluating sound quality of an air compressor, a storage medium, and an electronic device.

Background

Along with the technical development of commercial vehicle industry and the trend of young drivers, the requirements of the drivers on noise comfort are higher and higher, the diesel engine is a main power source of the commercial vehicle and a main noise source, the air compressor is an important braking source of the whole vehicle, and in the working process, a plurality of sound sources can be generated to bring sound quality problems to the drivers.

The vehicle air compressor works to generate sounds with various different characteristics, and the prior art cannot accurately evaluate the sound quality of one air compressor by adopting a single dimension or a single sound quality parameter.

Disclosure of Invention

The main objective of the present application is to provide a method, an apparatus, a storage medium and an electronic device for evaluating the sound quality of an air compressor, so as to at least solve the problem that the sound quality of an air compressor cannot be evaluated accurately in the prior art.

In order to achieve the above object, according to one aspect of the present application, there is provided an acoustic quality evaluation method of an air compressor, including: acquiring a plurality of sound sources at different positions of an air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and whole vehicle brake air compressor exhaust pulsation noise; acquiring a single evaluation index of each sound source, wherein the single evaluation index is the sound quality of each sound source; respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the single evaluation indexes and the ratios are weighted and summed to obtain the comprehensive evaluation indexes of the sound sources; and determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

Optionally, the method further includes obtaining ratios of energy in a characteristic frequency band range of each sound source to total noise energy, to obtain a plurality of ratios, including: acquiring energy frequency spectrums of the sound sources, and acquiring energy in the characteristic frequency band range of the sound sources according to the energy frequency spectrums corresponding to the sound sources; based on a time-frequency characteristic superposition principle, superposing the energy spectrums of a plurality of sound sources to obtain a synthesized energy spectrum; correcting the synthesized energy spectrum based on sound masking characteristics to obtain a corrected synthesized energy spectrum, and obtaining corrected total noise energy according to the corrected synthesized energy spectrum; and respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the corrected total noise energy to obtain a plurality of ratios.

Optionally, obtaining energy in the characteristic frequency band range of each sound source according to the energy spectrum corresponding to each sound source includes: determining the characteristic frequency band range according to the energy amplitude of the energy spectrum corresponding to the sound source; energy in the characteristic frequency band range of the sound source is acquired.

Optionally, based on a time-frequency characteristic superposition principle, superposing the energy spectrums of the multiple sound sources to obtain a composite energy spectrum, including: and superposing energy amplitudes of a plurality of sound sources under the same frequency to obtain the synthesized energy spectrum.

Optionally, the synthesized energy spectrum is modified based on the sound masking characteristic, to obtain a modified synthesized energy spectrum, including: and carrying out frequency modulation treatment on the synthesized energy spectrum based on sound masking characteristics, wherein the sound masking characteristics are characteristics that materials or structures have the capacity of blocking and absorbing sound and prevent the sound from penetrating or transmitting, and the sound masking characteristics are related to the density, the thickness and the surface shape of the materials of the air compressor.

Optionally, obtaining a single evaluation index of each sound source includes: acquiring prominent frequency bands of various sound sources, and acquiring sound quality objective parameters of the prominent frequency bands of the various sound sources, wherein the sound quality objective parameters comprise at least one of loudness, sharpness, roughness, contrast and kurtosis; and carrying out weighted summation on a plurality of sound quality objective parameters of various sound sources to obtain the single evaluation index, wherein the weight corresponding to each sound quality objective parameter represents the importance degree of the sound quality objective parameter on the single evaluation index.

Optionally, before acquiring the multiple sound sources at different positions of the air compressor, the method further includes: determining whether the air compressor is in a normal working state, wherein the normal working state can be determined according to the power of the air compressor, the temperature of the air compressor, the lubricating oil cleaning state of the air compressor and the air pressure output by the air compressor; under the condition that the air compressor is in a normal working state, acquiring a plurality of sound sources at different positions of the air compressor.

According to another aspect of the present application, there is provided an acoustic quality evaluation device of an air compressor, including: the first acquisition unit is used for acquiring a plurality of sound sources at different positions of the air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and air compressor exhaust pulsation noise for whole vehicle braking; a second obtaining unit, configured to obtain a single evaluation index of each sound source, where the single evaluation index is a sound quality of each sound source; the third obtaining unit is used for obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy respectively to obtain a plurality of ratios, the sound sources are in one-to-one correspondence with the ratios and the single evaluation indexes respectively, and the single evaluation indexes and the ratios are weighted and summed to obtain the comprehensive evaluation indexes of the sound sources; and the determining unit is used for determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

According to still another aspect of the present application, there is provided a computer readable storage medium, where the computer readable storage medium includes a stored program, and when the program runs, the apparatus where the computer readable storage medium is located is controlled to execute any one of the sound quality evaluation methods of the air compressor.

According to still another aspect of the present application, there is provided an electronic apparatus including: the air compressor comprises one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs comprise a sound quality evaluation method for executing any one of the air compressors.

By applying the technical scheme, multiple sound sources at different positions of the air compressor are obtained, and a single evaluation index of each sound source is obtained, wherein the single evaluation index is the sound quality of each sound source; respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the plurality of single evaluation indexes and the plurality of ratios are weighted and summed to obtain the comprehensive evaluation indexes of the plurality of sound sources; and determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. According to the scheme, sound sources with different prominent frequency bands at different positions in the working state of the air compressor are obtained, and each sound source is subjected to subjective and objective evaluation independently, so that the sound quality evaluation criterion of a single sound source is formed, and the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is avoided. And then generating a total frequency spectrum by combining the characteristic frequency bands of each sound source, correcting the total frequency spectrum based on the masking effect of the sound, calculating the contribution of each sound source to the total according to the difference of the influence degree of each sound source to the total, and weighting the sound sources according to the contribution to finally obtain the sound quality evaluation criterion for integrating all the sound sources and considering the contribution of the sound sources, wherein the evaluation result is closer to reality.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

fig. 1 shows a hardware block diagram of a mobile terminal performing an acoustic quality evaluation method of an air compressor according to an embodiment of the present application;

fig. 2 shows a flow chart of an acoustic quality evaluation method of an air compressor according to an embodiment of the present application;

fig. 3 shows a quality profile of a multi-sound source corresponding to the operation of an air compressor provided according to an embodiment of the present application;

fig. 4 shows a schematic diagram of a multi-sound source frequency synthesis energy spectrum of a sound quality evaluation method of an air compressor according to an embodiment of the present application;

fig. 5 shows a schematic diagram of a synthetic energy spectrum correction of an acoustic quality evaluation method of an air compressor according to an embodiment of the present application;

fig. 6 shows a flowchart of a method for evaluating noise quality of an air compressor according to an embodiment of the present application;

fig. 7 shows a block diagram of a sound quality evaluation device of an air compressor according to an embodiment of the present application.

Detailed Description

It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

For convenience of description, the following will describe some terms or terms related to the embodiments of the present application:

time-frequency characteristic superposition principle: means that the time domain features and the frequency domain features of the sound signal are overlapped together; the time domain features include amplitude, frequency, phase, etc. of the sound, and the frequency domain features include spectral features, spectral envelope, etc. of the sound. By superimposing these features together, the characteristics of the sound signal, including its pitch, timbre, volume, etc., can be better described.

Sound masking characteristics: refers to a material or device that has the ability to block sound transmission; sound masking properties are typically achieved by means of sound absorption, sound insulation or shock absorption.

Time-frequency characteristic separation principle: means that the separation is carried out according to the time domain characteristics and the frequency domain characteristics of the signals; the time domain features comprise the amplitude, the waveform and the like of the signal, and the frequency domain features comprise the frequency, spectral line and the like of the signal; by analyzing and extracting the time-frequency characteristics, the sound signals can be effectively separated and identified; common time-frequency characteristic separation methods comprise short-time Fourier transform, wavelet transform, time-frequency analysis and the like; the method can decompose the sound signal in the time domain and the frequency domain, and extract different time-frequency characteristics, thereby realizing signal separation and characteristic extraction.

As described in the background art, in order to solve the problem that the prior art cannot accurately evaluate the quality of the sound of the air compressor, the embodiment of the application provides a method, a device, a storage medium and electronic equipment for evaluating the quality of the sound of the air compressor.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the operation on a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of a mobile terminal of a method for evaluating sound quality of an air compressor according to an embodiment of the present invention. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.

The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a sound quality evaluation method of an air compressor in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.

In the present embodiment, there is provided a sound quality evaluation method of an air compressor operating on a mobile terminal, a computer terminal or the like, it is to be noted that the steps shown in the flowcharts of the drawings may be executed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in an order different from that here.

Fig. 2 is a flowchart of an acoustic quality evaluation method of an air compressor according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:

step S201, acquiring a plurality of sound sources at different positions of an air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and whole vehicle brake air compressor exhaust pulsation noise;

specifically, as shown in fig. 3, in the working state of the air compressor, multiple sound sources are generated at different positions, and the subjective feeling characteristics of sound quality corresponding to each sound source are different, the noise of the air compressor air inlet is represented as clattering noise, the noise of the air compressor air outlet is represented as slamming noise, the torque fluctuation of the air compressor shafting causes the knocking noise of the gear to be represented as noisy noise, the air compressor drying tank air leakage noise is represented as fizzing noise, and the air compressor air exhaust pulsation noise of the whole vehicle brake is represented as fizzing noise.

Step S202, obtaining a single evaluation index of each sound source, wherein the single evaluation index is the sound quality of each sound source;

concrete embodimentsBasically, according to the formula: sa=a×p ₁ +b×P ₂ +c×P ₃ +d×P ₄ A single evaluation index SA of each sound source can be obtained, wherein a, b, c, d is a coefficient obtained by fitting, P ₁ ~P ₄ Is an objective parameter of sound quality such as loudness, sharpness, roughness, etc.

Step S203, respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, respectively corresponding the sound sources to the ratios and the single evaluation indexes one by one, and carrying out weighted summation on the plurality of single evaluation indexes and the plurality of ratios to obtain the comprehensive evaluation indexes of the plurality of sound sources;

specifically, by the formula sq=α ₁ ×SA ₁ +α ₂ ×SA ₂ +α ₃ ×SA ₃ +α ₄ ×SA ₄ +α ₅ ×SA ₅ The comprehensive evaluation index SQ can be obtained by a weighted summation mode, wherein alpha is as follows ₁ ~α ₅ For the ratio of energy in the characteristic frequency band of a single sound source to total noise energy, SA ₁ ~SA ₅ Is a single evaluation index corresponding to a single sound source.

And S204, determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

The larger the value of the comprehensive evaluation index is, the smaller the noise is in the running state of the air compressor, and the better the sound quality of the air compressor is.

Through the embodiment, multiple sound sources at different positions of the air compressor are obtained, and a single evaluation index of each sound source is obtained, wherein the single evaluation index is the sound quality of each sound source; respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the plurality of single evaluation indexes and the plurality of ratios are weighted and summed to obtain the comprehensive evaluation indexes of the plurality of sound sources; and determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. Under the condition that the air compressor works normally, multiple sound sources at different positions of the air compressor are collected, subjective feeling characteristics of sound quality corresponding to each sound source are different, subjective evaluation is carried out on each sound source independently, a sound quality evaluation criterion of a single sound source is formed, the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is avoided, the sound quality of the air compressor is evaluated by obtaining comprehensive evaluation indexes according to the sound quality evaluation criterion of the multiple sound sources, and the sound quality level of the air compressor can be accurately and efficiently evaluated by establishing a set of multi-sound source evaluation method.

In a specific implementation process, the step S203 obtains ratios of energy in a characteristic frequency band range of each sound source to total noise energy to obtain a plurality of ratios, including: acquiring energy frequency spectrums of all sound sources, and acquiring energy in a characteristic frequency band range of each sound source according to the energy frequency spectrums corresponding to all sound sources; based on a time-frequency characteristic superposition principle, superposing energy spectrums of various sound sources to obtain a synthesized energy spectrum; based on the sound masking characteristics, correcting the synthesized energy spectrum to obtain a corrected synthesized energy spectrum, and obtaining corrected total noise energy according to the corrected synthesized energy spectrum; and respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the corrected total noise energy to obtain a plurality of ratios.

The method is based on the time-frequency characteristic superposition principle of sound signals, as shown in fig. 4, acquires the frequency synthesized energy spectrum of multiple sound sources, corrects the synthesized noise energy spectrum according to the sound masking characteristic, as shown in fig. 5, and obtains the corrected synthesized energy spectrum, finally, respectively extracting the energy in the characteristic frequency band range of a single sound source based on the time-frequency characteristic separation principle of the sound signals according to the formula alpha _i =Q _Hi And Q, obtaining the ratio of energy in each single sound source characteristic frequency band to total energy, wherein alpha _i For the ratio of i sound source noise energy to total energy, Q _Hi And Q is total noise energy synthesized and corrected based on masking effect.

Specifically, obtaining energy in a characteristic frequency band range of each sound source according to the energy spectrum corresponding to each sound source includes: determining a characteristic frequency band range according to the energy amplitude of the energy spectrum corresponding to the sound source; energy in a characteristic frequency band range of the sound source is acquired.

The characteristic frequency bands corresponding to the sound sources at different positions of the air compressor are different, for example, the energy of the sound source generated by the air inlet of the air compressor is concentrated near 200Hz, and the energy of the sound source knocked by the gear is distributed at medium-high frequency and above 1000Hz due to the fluctuation of the torque of the shafting of the air compressor.

More specifically, based on a time-frequency characteristic superposition principle, the energy spectrum of a plurality of sound sources is superposed to obtain a composite energy spectrum, which comprises the following steps: and superposing the energy amplitudes of the plurality of sound sources under the same frequency to obtain a synthesized energy spectrum.

In the sound source processing based on the time-frequency characteristic superposition principle, the time-frequency characteristics of a plurality of sound sources are superposed together to generate complex sound source characteristics. By superimposing these features together, the characteristics of the sound signal, including its pitch, timbre, volume, etc., can be better described.

Further, based on the sound masking characteristics, the synthesized energy spectrum is modified to obtain a modified synthesized energy spectrum, including: and performing frequency modulation processing on the synthesized energy spectrum based on sound masking characteristics, wherein the sound masking characteristics are characteristics that materials or structures have the capability of blocking and absorbing sound, so that the sound cannot penetrate or propagate, and the sound masking characteristics are related to the density, the thickness and the surface shape of the materials of the air compressor.

Specifically, the synthetic energy spectrum is corrected, and a corrected synthetic energy spectrum is obtained, as shown in fig. 5; judging whether adjacent octaves of the synthesized energy spectrum distribution deviate more than 4DB according to the one third octave energy distribution, and if the adjacent octaves are more than 4DB, masking sound sources, and performing frequency modulation processing on the part of the synthesized energy spectrum with the sound sources. Where a one third octave energy distribution refers to an energy distribution over a frequency range that is one third of an octave of frequency, this means that the energy distribution over a frequency range is uniform and that the frequency of this range is one third of an octave of the whole signal, which can be used to analyze the frequency content and characteristics of the signal.

Further, obtaining a single evaluation index for each sound source includes: acquiring prominent frequency bands of various sound sources, and acquiring sound quality objective parameters of the prominent frequency bands of the various sound sources, wherein the sound quality objective parameters comprise at least one of loudness, sharpness, roughness, contrast and kurtosis; and carrying out weighted summation on a plurality of sound quality objective parameters of various sound sources to obtain a single evaluation index, wherein the weight corresponding to each sound quality objective parameter represents the importance degree of the sound quality objective parameter on the single evaluation index.

Specifically, classifying the characteristics of subjective feelings of sound quality of a plurality of sound sources generated by the air compressor; extracting the sound characteristics of a single sound source, firstly locking the prominent frequency band of the sound characteristics, secondly calculating the objective parameters of sound quality including but not limited to evaluation dimensions such as loudness, sharpness, roughness, contrast, kurtosis and the like, and combining the subjective feeling of the sound quality to form subjective and objective sound quality evaluation, namely a single evaluation index: sa=a×p ₁ +b×P ₂ +c×P ₃ +d×P ₄ Wherein: a. b, c, d are coefficients obtained by fitting, P ₁ ~P ₄ Is an objective parameter of sound quality such as loudness, sharpness, roughness, etc.

For example, the noise energy of 'clattering-clattering' of an air inlet of an air compressor is concentrated near 200Hz, and objective parameters mainly affecting sound quality are roughness; the tooth-knocking noise energy of the air compressor is distributed at medium and high frequencies (more than 1000 Hz), and the objective parameters mainly affecting the sound quality are loudness and sound pressure level; and each sound source is not as stiff to the overall. In order to comprehensively evaluate the noise sound quality level of the air compressor, a single-component multi-sound-source evaluation method is formulated.

Specifically, before acquiring the multiple sound sources at different positions of the air compressor, the method further comprises: determining whether the air compressor is in a normal working state, wherein the normal working state can be determined according to the power of the air compressor, the temperature of the air compressor, the lubricating oil cleaning state of the air compressor and the air pressure output by the air compressor; under the condition that the air compressor is determined to be in a normal working state, multiple sound sources at different positions of the air compressor are obtained.

The method firstly needs to determine whether the air compressor is in a normal working state, so that the comprehensive evaluation of the sound quality of the air compressor is more accurate.

In order to enable those skilled in the art to more clearly understand the technical solutions of the present application, the implementation process of the acoustic quality evaluation method of the air compressor of the present application will be described in detail below with reference to specific embodiments.

The present embodiment relates to a specific method for evaluating the sound quality of an air compressor, as shown in fig. 6, specifically including the following:

according to the working state of the air compressor, a plurality of sound sources are generated at different positions, and the subjective feeling characteristics of the sound quality corresponding to each sound source are different, as shown in fig. 3. The prominent frequency band of each sound source is not consistent with the primarily affected sound quality parameters. For example, the noise energy of the clattering-clattering of an air inlet of the air compressor is concentrated near 200Hz, and roughness is mainly influenced; the tooth knocking noise energy of the air compressor is distributed at medium and high frequencies (more than 1000 Hz), and the loudness and the sound pressure level are mainly influenced; and each sound source is not as stiff to the overall. In order to comprehensively evaluate the noise sound quality level of the air compressor, a single-component multi-sound-source evaluation method is formulated.

Firstly, classifying characteristics of subjective feelings of sound quality of a plurality of sound sources generated by an air compressor;

secondly, extracting the sound characteristics of a single sound source, firstly locking the prominent frequency band of the sound characteristics, secondly calculating the objective parameters of sound quality, including but not limited to evaluation dimensions such as loudness, sharpness, roughness, contrast, kurtosis and the like, and combining the subjective feeling of the sound quality to form subjective and objective sound quality evaluation, namely a 1-level evaluation index; sa=a×p ₁ +b×P ₂ +c×P ₃ +d×P ₄ Wherein: a. b, c, d are coefficients obtained by fitting, P ₁ ~P ₄ Is an objective parameter of sound quality such as loudness, sharpness, roughness, etc.

Thirdly, based on a time-frequency characteristic superposition principle of the sound signals, acquiring a multi-sound source frequency synthesis energy spectrum, as shown in fig. 4; the synthesized noise energy spectrum is then modified based on the sound masking characteristics, the modified energy spectrum being shown in fig. 5.

And finally, respectively extracting the energy in the characteristic frequency band range of the single sound source based on the time-frequency characteristic separation principle of the sound signal to obtain the ratio of the energy in the characteristic frequency band range of each single sound source to the total energy.

α _i =Q _Hi Q, wherein alpha _i The ratio of the noise energy of the i sound source to the total energy is i=1-5; q (Q) _Hi Noise energy in the characteristic frequency band range of the i sound source; q is the total noise energy after synthesis and correction based on masking effects.

Comprehensively evaluating the sound quality of the multiple sound sources to form a 2-level evaluation index: sq=α ₁ ×SA ₁ +α ₂ ×SA ₂ +α ₃ ×SA ₃ +α ₄ ×SA ₄ +α ₅ ×SA ₅ Wherein: alpha ₁ ~α ₅ For the ratio of energy in the characteristic frequency band of a single sound source to total energy, SA ₁ ~SA ₅ Each single sound source score corresponds to a 1-level rating.

And finally, according to the 2-level evaluation score, evaluating the characteristics of the multi-sound source sound quality generated by the air compressor, wherein the larger the sound quality evaluation index value is, the more excellent the noise sound quality of the air compressor is.

According to the embodiment, the sound sources under different working states of the air compressor are separated, and each sound source is subjected to subjective and objective evaluation independently, so that the sound quality evaluation criterion of a single sound source is formed, and the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is overcome. And then generating a total frequency spectrum by combining the characteristic frequency bands of each sound source, correcting the total frequency spectrum based on the masking effect of the sound, calculating the contribution of each sound source to the total according to the difference of the influence degree of each sound source to the total, and weighting the sound sources according to the contribution to finally obtain the sound quality evaluation criterion for integrating all the sound sources and considering the contribution of the sound sources, wherein the evaluation result is closer to reality.

The embodiment of the application also provides an acoustic quality evaluation device of the air compressor, and it should be noted that the acoustic quality evaluation device of the air compressor of the embodiment of the application can be used for executing the acoustic quality evaluation method for the air compressor provided by the embodiment of the application. The device is used for realizing the above embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

The following describes an acoustic quality evaluation device for an air compressor provided in an embodiment of the present application.

Fig. 7 is a schematic view of an acoustic quality evaluation apparatus of an air compressor according to an embodiment of the present application. As shown in fig. 7, the apparatus includes: a first acquisition unit, a second acquisition unit, a third acquisition unit, and a first determination unit;

a first obtaining unit 71, configured to obtain multiple sound sources at different positions of the air compressor, where the multiple sound sources include at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by torque fluctuation of an air compressor shafting, air compressor drying tank air leakage noise, and air compressor exhaust pulsation noise for whole vehicle braking;

A second acquisition unit 72 for acquiring a single evaluation index of each sound source, the single evaluation index being the sound quality of each sound source;

specifically, according to the formula: sa=a×p ₁ +b×P ₂ +c×P ₃ +d×P ₄ A single evaluation index SA of each sound source can be obtained, wherein a, b, c, d is a coefficient obtained by fitting, P ₁ ~P ₄ Objective parameters for sound quality, e.g. loudness,Sharpness, roughness, etc.

A third obtaining unit 73, configured to obtain ratios of energy in a characteristic frequency band range of each sound source to total noise energy, to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and perform weighted summation on the plurality of single evaluation indexes and the plurality of ratios to obtain a comprehensive evaluation index of a plurality of sound sources;

The first determining unit 74 is configured to determine the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

In this embodiment, the first obtaining unit 71 is configured to obtain multiple sound sources at different positions of the air compressor, where the multiple sound sources include at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by torque fluctuation of an air compressor shafting, air compressor drying tank air leakage noise, and air compressor exhaust pulsation noise for whole vehicle braking; a second acquisition unit 72 for acquiring a single evaluation index of each sound source, the single evaluation index being the sound quality of each sound source; a third obtaining unit 73, configured to obtain ratios of energy in a characteristic frequency band range of each sound source to total noise energy, to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and perform weighted summation on the plurality of single evaluation indexes and the plurality of ratios to obtain a comprehensive evaluation index of a plurality of sound sources; the first determining unit 74 is configured to determine the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. Under the condition that the air compressor works normally, multiple sound sources at different positions of the air compressor are collected, subjective feeling characteristics of sound quality corresponding to each sound source are different, subjective evaluation is carried out on each sound source independently, a sound quality evaluation criterion of a single sound source is formed, the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is avoided, the sound quality of the air compressor is evaluated by obtaining comprehensive evaluation indexes according to the sound quality evaluation criterion of the multiple sound sources, and the sound quality level of the air compressor can be accurately and efficiently evaluated by establishing a set of multi-sound source evaluation method.

As an alternative, the third acquisition unit includes a first acquisition module, a second acquisition module, a correction module, and a third acquisition module; the first acquisition module is used for acquiring the energy frequency spectrum of each sound source and obtaining the energy in the characteristic frequency band range of each sound source according to the energy frequency spectrum corresponding to each sound source; the second acquisition module is used for superposing the energy spectrums of the plurality of sound sources based on a time-frequency characteristic superposition principle to acquire a synthesized energy spectrum; the correction module is used for correcting the synthesized energy spectrum according to the sound masking characteristics to obtain a corrected synthesized energy spectrum, and obtaining corrected total noise energy according to the corrected synthesized energy spectrum; and the third acquisition module is used for respectively acquiring the ratio of the energy in the characteristic frequency band range of each sound source to the corrected total noise energy to obtain a plurality of ratios.

The device acquires the synthesized energy spectrum of multiple sound source frequencies based on the time-frequency characteristic superposition principle of sound signals as shown in fig. 4, corrects the synthesized noise energy spectrum according to the sound masking characteristic as shown in fig. 5 to obtain corrected synthesized energy spectrum, and finally extracts the energy in the characteristic frequency band range of a single sound source respectively based on the time-frequency characteristic separation principle of the sound signals according to the formula alpha _i =Q _Hi And Q, obtaining the ratio of energy in each single sound source characteristic frequency band to total energy, wherein alpha _i For the ratio of i sound source noise energy to total energy, Q _Hi And Q is total noise energy synthesized and corrected based on masking effect.

Alternatively, the first acquisition module includes a first determination sub-module and a first acquisition sub-module; the first determining submodule is used for determining a characteristic frequency band range according to the energy amplitude of the energy spectrum corresponding to the sound source; and the acquisition module is used for acquiring the energy in the characteristic frequency band range of the sound source.

In an alternative scheme, the second acquisition module comprises a second acquisition sub-module, and the second acquisition sub-module is used for superposing energy amplitudes of multiple sound sources at the same frequency to acquire a synthesized energy spectrum.

Alternatively, the modification module includes a processing sub-module, configured to perform frequency modulation processing on the synthesized energy spectrum based on sound masking characteristics, where the sound masking characteristics are characteristics of a material or structure that have a capability of blocking and absorbing sound, and making sound unable to penetrate or propagate, and the sound masking characteristics are related to a density, a thickness, and a surface shape of a material of the air compressor.

Specifically, the synthetic energy spectrum is corrected, and a corrected synthetic energy spectrum is obtained, as shown in fig. 5; judging whether adjacent octaves of the synthesized energy spectrum distribution deviate more than 4DB according to the one third octave energy distribution, and if the adjacent octaves are more than 4DB, masking sound source energy exists, and correcting the part of the synthesized energy spectrum with the sound source energy masking. Where a one third octave energy distribution refers to an energy distribution over a frequency range that is one third of an octave of frequency, this means that the energy distribution over a frequency range is uniform and that the frequency of this range is one third of an octave of the whole signal, which can be used to analyze the frequency content and characteristics of the signal.

Alternatively, the second acquisition unit includes a fourth acquisition module and a weighted summation module; a fourth acquisition module, configured to acquire prominent frequency bands of various sound sources, and acquire objective parameters of sound quality of the prominent frequency bands of the various sound sources, where the objective parameters of sound quality include at least one of loudness, sharpness, roughness, contrast, kurtosis; and the weighted summation module is used for weighted summation of a plurality of sound quality objective parameters of various sound sources to obtain a single evaluation index, wherein the weight corresponding to each sound quality objective parameter represents the importance degree of the sound quality objective parameter to the single evaluation index.

Optionally, the apparatus further includes a second determining unit and a fourth obtaining unit; the second determining unit is used for determining whether the air compressor is in a normal working state or not before acquiring various sound sources at different positions of the air compressor, wherein the normal working state can be determined according to the power of the air compressor, the temperature of the air compressor, the lubricating oil cleaning state of the air compressor and the air pressure output by the air compressor; and the fourth acquisition unit is used for acquiring various sound sources at different positions of the air compressor under the condition that the air compressor is determined to be in a normal working state.

Firstly, whether the air compressor is in a normal working state or not needs to be determined, so that comprehensive evaluation of the sound quality of the air compressor is more accurate.

The sound quality evaluation device of the air compressor comprises a processor and a memory, wherein the first acquisition unit, the second acquisition unit, the third acquisition unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions. The modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The inner core can be provided with one or more than one, and the problem that the sound quality of the air compressor cannot be accurately evaluated in the prior art is solved by adjusting the parameters of the inner core.

The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a computer readable storage medium, which comprises a stored program, wherein when the program runs, equipment where the computer readable storage medium is located is controlled to execute a sound quality evaluation method of an air compressor.

Specifically, the method for evaluating the sound quality of the air compressor comprises the following steps:

Optionally, the method includes respectively obtaining ratios of energy in a characteristic frequency band range of each sound source to total noise energy to obtain a plurality of ratios, including: acquiring energy frequency spectrums of all sound sources, and acquiring energy in a characteristic frequency band range of each sound source according to the energy frequency spectrums corresponding to all sound sources; based on a time-frequency characteristic superposition principle, superposing energy spectrums of various sound sources to obtain a synthesized energy spectrum; based on the sound masking characteristics, correcting the synthesized energy spectrum to obtain a corrected synthesized energy spectrum, and obtaining corrected total noise energy according to the corrected synthesized energy spectrum; and respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the corrected total noise energy to obtain a plurality of ratios.

Optionally, obtaining energy in the characteristic frequency band range of each sound source according to the energy spectrum corresponding to each sound source includes: determining a characteristic frequency band range according to the energy amplitude of the energy spectrum corresponding to the sound source; energy in a characteristic frequency band range of the sound source is acquired.

Optionally, based on a time-frequency characteristic superposition principle, superposing energy spectrums of multiple sound sources to obtain a composite energy spectrum, including: and superposing the energy amplitudes of the plurality of sound sources under the same frequency to obtain a synthesized energy spectrum.

Optionally, modifying the synthesized energy spectrum based on the sound masking characteristics to obtain a modified synthesized energy spectrum, including: and performing frequency modulation processing on the synthesized energy spectrum based on sound masking characteristics, wherein the sound masking characteristics are characteristics that materials or structures have the capability of blocking and absorbing sound, so that the sound cannot penetrate or propagate, and the sound masking characteristics are related to the density, the thickness and the surface shape of the materials of the air compressor.

Optionally, obtaining a single evaluation index of each sound source includes: acquiring prominent frequency bands of various sound sources, and acquiring sound quality objective parameters of the prominent frequency bands of the various sound sources, wherein the sound quality objective parameters comprise at least one of loudness, sharpness, roughness, contrast and kurtosis; and carrying out weighted summation on a plurality of sound quality objective parameters of various sound sources to obtain a single evaluation index, wherein the weight corresponding to each sound quality objective parameter represents the importance degree of the sound quality objective parameter on the single evaluation index.

Optionally, before acquiring the multiple sound sources at different positions of the air compressor, the method further includes: determining whether the air compressor is in a normal working state, wherein the normal working state can be determined according to the power of the air compressor, the temperature of the air compressor, the lubricating oil cleaning state of the air compressor and the air pressure output by the air compressor; under the condition that the air compressor is determined to be in a normal working state, multiple sound sources at different positions of the air compressor are obtained.

The embodiment of the invention provides a processor which is used for running a program, wherein the sound quality evaluation method of an air compressor is executed when the program runs.

The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes at least the following steps when executing the program:

The device herein may be a server, PC, PAD, cell phone, etc.

The present application also provides a computer program product adapted to perform a program initialized with at least the following method steps when executed on a data processing device:

It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

1) The method for evaluating the sound quality of the air compressor comprises the following steps: acquiring a plurality of sound sources at different positions of the air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and air compressor air exhaust pulsation noise for whole vehicle braking; acquiring a single evaluation index of each sound source, wherein the single evaluation index is the sound quality of each sound source; respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the plurality of single evaluation indexes and the plurality of ratios are weighted and summed to obtain the comprehensive evaluation indexes of the plurality of sound sources; and determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. Under the condition that the air compressor works normally, multiple sound sources at different positions of the air compressor are collected, subjective feeling characteristics of sound quality corresponding to each sound source are different, subjective evaluation is carried out on each sound source independently, a sound quality evaluation criterion of a single sound source is formed, the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is avoided, the sound quality of the air compressor is evaluated by obtaining comprehensive evaluation indexes according to the sound quality evaluation criterion of the multiple sound sources, and the sound quality level of the air compressor can be accurately and efficiently evaluated by establishing a set of multi-sound source evaluation method.

2) An acoustic quality evaluation device for an air compressor of the present application includes: the first acquisition unit is used for acquiring a plurality of sound sources at different positions of the air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and air compressor exhaust pulsation noise for whole vehicle braking; the second acquisition unit is used for acquiring a single evaluation index of each sound source, wherein the single evaluation index is the sound quality of each sound source; the third acquisition unit is used for respectively acquiring the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the plurality of single evaluation indexes and the plurality of ratios are weighted and summed to obtain the comprehensive evaluation indexes of the plurality of sound sources; and the determining unit is used for determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index. Under the condition that the air compressor works normally, multiple sound sources at different positions of the air compressor are collected, subjective feeling characteristics of sound quality corresponding to each sound source are different, subjective evaluation is carried out on each sound source independently, a sound quality evaluation criterion of a single sound source is formed, the defect that the sound quality of the air compressor cannot be evaluated by single dimension and single sound quality parameters is avoided, the sound quality of the air compressor is evaluated by obtaining comprehensive evaluation indexes according to the sound quality evaluation criterion of the multiple sound sources, and the sound quality level of the air compressor can be accurately and efficiently evaluated by establishing a set of multi-sound source evaluation method.

The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. An acoustic quality evaluation method for an air compressor, comprising:

acquiring a plurality of sound sources at different positions of an air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and whole vehicle brake air compressor exhaust pulsation noise;

acquiring a single evaluation index of each sound source, wherein the single evaluation index is the sound quality of each sound source;

respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy to obtain a plurality of ratios, wherein the sound sources respectively correspond to the ratios and the single evaluation indexes one by one, and the single evaluation indexes and the ratios are weighted and summed to obtain the comprehensive evaluation indexes of the sound sources;

And determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

2. The method of claim 1, wherein separately obtaining ratios of energy in the characteristic frequency band of each of the sound sources to total noise energy to obtain a plurality of ratios, comprises:

acquiring energy frequency spectrums of the sound sources, and acquiring energy in the characteristic frequency band range of the sound sources according to the energy frequency spectrums corresponding to the sound sources;

based on a time-frequency characteristic superposition principle, superposing the energy spectrums of a plurality of sound sources to obtain a synthesized energy spectrum;

correcting the synthesized energy spectrum based on sound masking characteristics to obtain a corrected synthesized energy spectrum, and obtaining corrected total noise energy according to the corrected synthesized energy spectrum;

and respectively obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the corrected total noise energy to obtain a plurality of ratios.

3. The method of claim 2, wherein deriving energy in the characteristic frequency band range for each of the sound sources from the energy spectrum corresponding to each of the sound sources comprises:

determining the characteristic frequency band range according to the energy amplitude of the energy spectrum corresponding to the sound source;

Energy in the characteristic frequency band range of the sound source is acquired.

4. The method of claim 2, wherein superimposing the energy spectra of the plurality of sound sources based on a time-frequency characteristic superimposing principle to obtain a composite energy spectrum, comprises:

and superposing energy amplitudes of a plurality of sound sources under the same frequency to obtain the synthesized energy spectrum.

5. The method of claim 2, wherein modifying the composite energy spectrum based on sound masking characteristics results in a modified composite energy spectrum, comprising:

and carrying out frequency modulation treatment on the synthesized energy spectrum based on sound masking characteristics, wherein the sound masking characteristics are characteristics that materials or structures have the capacity of blocking and absorbing sound and prevent the sound from penetrating or transmitting, and the sound masking characteristics are related to the density, the thickness and the surface shape of the materials of the air compressor.

6. The method of claim 1, wherein obtaining a single evaluation index for each of the sound sources comprises:

acquiring prominent frequency bands of various sound sources, and acquiring sound quality objective parameters of the prominent frequency bands of the various sound sources, wherein the sound quality objective parameters comprise at least one of loudness, sharpness, roughness, contrast and kurtosis;

And carrying out weighted summation on a plurality of sound quality objective parameters of various sound sources to obtain the single evaluation index, wherein the weight corresponding to each sound quality objective parameter represents the importance degree of the sound quality objective parameter on the single evaluation index.

7. The method of claim 1, wherein prior to acquiring the plurality of sound sources at different locations of the air compressor, the method further comprises:

determining whether the air compressor is in a normal working state, wherein the normal working state can be determined according to the power of the air compressor, the temperature of the air compressor, the lubricating oil cleaning state of the air compressor and the air pressure output by the air compressor;

under the condition that the air compressor is in a normal working state, acquiring a plurality of sound sources at different positions of the air compressor.

8. An acoustic quality evaluation device for an air compressor, comprising:

the first acquisition unit is used for acquiring a plurality of sound sources at different positions of the air compressor, wherein the plurality of sound sources comprise at least two of air compressor air inlet noise, air compressor air outlet noise, gear knocking noise caused by air compressor shafting torque fluctuation, air compressor drying tank air leakage noise and air compressor exhaust pulsation noise for whole vehicle braking;

A second obtaining unit, configured to obtain a single evaluation index of each sound source, where the single evaluation index is a sound quality of each sound source;

the third obtaining unit is used for obtaining the ratio of the energy in the characteristic frequency band range of each sound source to the total noise energy respectively to obtain a plurality of ratios, the sound sources are in one-to-one correspondence with the ratios and the single evaluation indexes respectively, and the single evaluation indexes and the ratios are weighted and summed to obtain the comprehensive evaluation indexes of the sound sources;

and the determining unit is used for determining the sound quality of the air compressor according to the magnitude of the comprehensive evaluation index.

9. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to execute the sound quality evaluation method of the air compressor according to any one of claims 1 to 7.

10. An electronic device, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of acoustic quality assessment of an air compressor of any of claims 1-7.