阅读说明：本技术 一种燃气站压缩机有源噪声控制装置 (Active noise control device for gas station compressor ) 是由 袁军 李军 赵强 孟祥胜 王巍 赵汝法 于 2020-12-14 设计创作，主要内容包括：本发明请求保护一种燃气站压缩机有源噪声控制装置,设计压缩机噪声控制技术领域,包括压缩机本体以及设置在该压缩机主要噪点部位的噪声信号采集模块、抗噪声信号计算模块、音频信号处理模块以及次级路径噪声的产生模块,其中所述的噪声信号采集模块与音频信号处理模块相连接,所述的次级路径噪声产生模块和抗噪声信号计算模块与音频信号处理模块相连。该燃气站内压缩机有源噪声控制装置对低频噪声有良好的控制特性,降噪效果极佳,同时体积小,成本低,重量轻。(The invention relates to an active noise control device of a gas station compressor, which belongs to the technical field of compressor noise control and comprises a compressor body, a noise signal acquisition module, an anti-noise signal calculation module, an audio signal processing module and a secondary path noise generation module, wherein the noise signal acquisition module, the anti-noise signal calculation module, the audio signal processing module and the secondary path noise generation module are arranged at the main noise point of the compressor, the noise signal acquisition module is connected with the audio signal processing module, and the secondary path noise generation module and the anti-noise signal calculation module are connected with the audio signal processing module. The active noise control device of the gas station compressor has good control characteristic on low-frequency noise, excellent noise reduction effect, small volume, low cost and light weight.)

1. An active noise control device for a gas station compressor, comprising: the noise-resistant device comprises a compressor body, and a noise signal acquisition module, an audio signal processing module, an anti-noise signal calculation module and a secondary path noise generation module which are arranged on the compressor body, wherein the audio signal processing module is connected with the noise signal acquisition module, the anti-noise signal calculation module and the secondary channel noise signal generation module are respectively connected with the audio signal processing module, and the secondary path noise signal generation module is connected with the anti-noise signal calculation module;

the compressor body generates compressor noise during operation and starting;

the noise signal acquisition module acquires a compressor noise signal generated by the compressor body, stores the compressor noise signal as a primary noise signal and outputs the primary noise signal;

the audio signal processing module is used for receiving the primary noise signal output by the noise signal acquisition module and outputting the primary noise signal to the secondary path noise signal generation module; the audio signal processing module obtains an estimated value of a secondary path channel aiming at the primary noise signal by calling an adaptive algorithm, and outputs the primary noise signal and the estimated value of the secondary path acoustic channel;

the anti-noise signal module is used for receiving the primary noise signal and the secondary path acoustic channel estimation value which are correspondingly output by the audio signal processing module and outputting the anti-noise signal;

the secondary path noise generation module is used for respectively receiving the primary noise signal correspondingly output by the audio signal processing module and the anti-noise signal output by the anti-noise signal module, and finally playing the anti-noise signal through a full-frequency loudspeaker.

2. The active noise control device of a gas station compressor as claimed in claim 1, wherein the audio signal processing module comprises a first microprocessor, the first microprocessor adopts an adaptive algorithm to obtain a secondary acoustic channel estimation value for a primary noise signal, and performs signal processing on the primary noise signal;

the anti-noise signal calculation module comprises a second microprocessor, the second microprocessor adopts a self-adaptive algorithm, and the self-adaptive algorithm is used for calculating and processing the primary noise signal and the secondary channel estimation value to finally obtain the anti-noise signal.

3. The active noise control device of a gas station compressor as claimed in claim 2, wherein the estimation process of the secondary channel by the audio signal processing module is as follows:

the power amplification is carried out on the primary noise channel through the power amplification submodule, and then the primary noise signal after the power amplification processing is input into the corresponding adaptive filter and the secondary channel estimation submodule to be used as the estimation of the secondary channel algorithm and the input signal of the adaptive filter;

initializing system parameters, and setting a target value of a corresponding output error;

when the difference between the output signal of the secondary channel noise signal generation module and the output signal of the adaptive filter reaches a set target value, the tap coefficient of the adaptive filter is updated, and finally, an estimated value of the secondary channel is obtained, wherein the formula is expressed as follows:

e(n)＝d(n)-y(n)

w(n+1)＝w(n)+2μe(n)x(n)

as shown in the formula, the target value is the difference value between the output signal obtained by the secondary channel noise signal generation module and the output signal of the adaptive filter, which is e (n), and the update of the tap coefficient of the adaptive filter is represented as w (n +1), where x (n) is the signal acquired by the noise signal acquisition module, and μ is the step size factor of the system.

4. The active noise control device of a gas station compressor of claim 2, wherein the anti-noise signal calculated by the anti-noise signal calculation module is processed by:

inputting the primary noise signal and the secondary channel estimation value into an adaptive algorithm module as input parameters of an adaptive algorithm;

initializing parameters in the self-adaptive algorithm module, and setting the order of a controller and the length of a data block;

and calling a self-adaptive algorithm to obtain an optimal anti-noise signal value, and outputting and calculating an anti-noise signal aiming at the compressor noise in the gas station. The calculation formula of the anti-noise signal value is as follows:

y(n)＝w^T(n)x(n)

w(n)＝[w₀(n)w₁(n)...w_L-1(n)]^T

where y (n) is the value of the output anti-noise signal, w^T(n) is the weight vector, L is the filter length of w (n).

5. The active noise control device of the gas station compressor according to claim 4, wherein the adaptive algorithm mainly comprises a parameter-adjustable digital filter and an adaptive LMS algorithm, the parameter-adjustable digital filter is an FIR filter, the adaptive algorithm mainly belongs to the part of the audio signal processing module, and mainly processes the external environment noise signal collected by the noise signal collecting module, and transmits the processed signal to the anti-noise signal calculating module and the secondary path noise generating module to generate the anti-noise signal which has the same amplitude, opposite phase and same frequency as the compressor noise. It is noted that the adaptive algorithm employed herein can dynamically make adjustments to the filter coefficients based on changes in compressor noise.

6. The active noise control device of a gas station compressor according to any one of claims 1 to 5, wherein the noise signal collection module comprises an error sensor for collecting a compressor noise signal generated by the compressor body and a spectrum analyzer for performing spectrum analysis on the compressor noise signal.

7. The active noise control device of a gas station compressor according to any one of claims 1 to 5, wherein said secondary noise signal generating module comprises a full range speaker for playing the anti-noise signal.

8. A gas station compressor active noise control device according to any of claims 1 to 5, wherein the anti-noise signal is of the same amplitude, opposite phase and of the same frequency as the primary noise signal.

Technical Field

The invention belongs to the technical field of industrial noise control, and particularly relates to an active noise control device for a gas station compressor.

Background

In recent years, with the gradual maturity of compressor technology and the vigorous development of the domestic and foreign automobile industry, the processing of compressor noise in a gas station is a problem to be solved urgently. The compressor in the gas station is narrow-band noise with low-frequency characteristic, and the noise source of the compressor mainly comes from the noise generated by collision of an engine and a piston in the compressor in the reciprocating process. The maximum noise level sound pressure level can reach more than 90dB (A). The noise that the compressor produced in the gas station not only can bring the puzzlement for the staff in gas station, influences work efficiency, can disturb near resident's life moreover. In addition, noise can also severely affect the useful life of the compressor.

The existing noise control means of the compressor in the gas station is mainly passive noise control. The passive noise control is also called passive noise reduction, and is a barrier for blocking sound wave function through materials, and is a retransmission way for absorbing noise, and finally the purpose of eliminating the noise is achieved. However, the method has great limitations, and as the frequency is reduced, the wavelength will be lengthened, which leads to higher requirements for the thickness of the material, and finally, the cost is greatly increased, and the generation of noise cannot be fundamentally prevented.

Disclosure of Invention

The invention aims to solve the problem that the existing method relying on passive noise reduction has poor noise reduction effect. An active noise control device for a gas station compressor is provided. The technical scheme of the invention is as follows:

an active noise control device for a gas station compressor, comprising: the noise-resistant device comprises a compressor body, and a noise signal acquisition module, an audio signal processing module, an anti-noise signal calculation module and a secondary path noise generation module which are arranged on the compressor body, wherein the audio signal processing module is connected with the noise signal acquisition module, the anti-noise signal calculation module and the secondary channel noise signal generation module are respectively connected with the audio signal processing module, and the secondary path noise signal generation module is connected with the anti-noise signal calculation module;

the compressor body generates compressor noise during operation and starting;

the noise signal acquisition module acquires a compressor noise signal generated by the compressor body, stores the compressor noise signal as a primary noise signal and outputs the primary noise signal;

the audio signal processing module is used for receiving the primary noise signal output by the noise signal acquisition module and outputting the primary noise signal to the secondary path noise signal generation module; the audio signal processing module obtains an estimated value of a secondary path channel aiming at the primary noise signal by calling an adaptive algorithm, and outputs the primary noise signal and the estimated value of the secondary path acoustic channel;

the anti-noise signal module is used for receiving the primary noise signal and the secondary path acoustic channel estimation value which are correspondingly output by the audio signal processing module and outputting the anti-noise signal;

the secondary path noise generation module is used for respectively receiving the primary noise signal correspondingly output by the audio signal processing module and the anti-noise signal output by the anti-noise signal module, and finally playing the anti-noise signal through a full-frequency loudspeaker.

Further, the audio signal processing module comprises a first microprocessor, and the first microprocessor adopts an adaptive algorithm to obtain a secondary acoustic channel estimation value aiming at the primary noise signal and performs signal processing on the primary noise signal;

the anti-noise signal calculation module comprises a second microprocessor, the second microprocessor adopts a self-adaptive algorithm, and the self-adaptive algorithm is used for calculating and processing the primary noise signal and the secondary channel estimation value to finally obtain the anti-noise signal.

Further, the estimation process of the audio signal processing module on the secondary channel is as follows:

the power amplification is carried out on the primary noise channel through the power amplification submodule, and then the primary noise signal after the power amplification processing is input into the corresponding adaptive filter and the secondary channel estimation submodule to be used as the estimation of the secondary channel algorithm and the input signal of the adaptive filter;

initializing system parameters, and setting a target value of a corresponding output error;

when the difference value between the output signal of the secondary channel noise signal generation module and the output signal of the adaptive filter reaches a set target value, the tap coefficient of the adaptive filter is updated, and finally the estimated value of the secondary channel is obtained. The formula is expressed as follows:

e(n)＝d(n)-y(n)

w(n+1)＝w(n)+2μe(n)x(n)

as shown in the formula, the target value is the difference value between the output signal obtained by the secondary channel noise signal generation module and the output signal of the adaptive filter, which is e (n), and the update of the tap coefficient of the adaptive filter is represented as w (n +1), where x (n) is the signal acquired by the noise signal acquisition module, and μ is the step size factor of the system.

Further, the processing procedure of the anti-noise signal calculated by the anti-noise signal calculation module is as follows:

inputting the primary noise signal and the secondary channel estimation value into an adaptive algorithm module as input parameters of an adaptive algorithm;

initializing parameters in the self-adaptive algorithm module, and setting the order of a controller and the length of a data block;

and calling a self-adaptive algorithm to obtain an optimal anti-noise signal value, and outputting and calculating an anti-noise signal aiming at the compressor noise in the gas station. The calculation formula of the anti-noise signal value is as follows:

y(n)＝w^T(n)x(n)

w(n)＝[w₀(n)w₁(n)...w_L-1(n)]^T

where y (n) is the value of the output anti-noise signal, w^T(n) is the weight vector, L is the filter length of w (n).

Furthermore, the adaptive algorithm mainly comprises a digital filter with adjustable parameters and an adaptive LMS algorithm, the digital filter with adjustable parameters is an FIR filter, the adaptive algorithm mainly belongs to the part of an audio signal processing module, and mainly processes the external environment noise signal collected by a noise signal collecting module, and transmits the processed signal to an anti-noise signal calculating module and a secondary path noise generating module for generation, and finally the anti-noise signal has the same amplitude, opposite phase and same frequency with the compressor noise. It is noted that the adaptive algorithm employed herein can dynamically make adjustments to the filter coefficients based on changes in compressor noise.

Further, the noise signal acquisition module comprises an error sensor and a spectrum analyzer, wherein the error sensor is used for acquiring the compressor noise signal generated by the compressor body, and the spectrum analyzer is used for performing spectrum analysis on the compressor noise signal.

Further, the secondary noise signal generating module includes a full-frequency speaker for playing the anti-noise signal.

Further, the anti-noise signal is the same amplitude, opposite in phase, and the same frequency as the primary noise signal.

The invention has the following advantages and beneficial effects:

the compressor active noise control device provided by the invention is used for collecting noise through the noise signal collection module aiming at a compressor noise signal generated by a compressor to perform frequency spectrum analysis on the compressor noise signal and transmitting the noise to the audio signal processing module; the primary noise signal acquired by the audio signal processing module is transmitted to a secondary path noise signal generation module, and a self-adaptive algorithm is called to obtain a secondary path estimation value aiming at the primary noise signal and transmit the secondary path estimation value to an anti-noise signal module; loading an estimated value of a secondary path channel through an anti-noise signal module, and finally calling a self-adaptive algorithm by using a primary noise signal to obtain an anti-noise signal and transmitting the anti-noise signal to a secondary path noise signal generation module; the secondary path noise signal generation module receives the anti-noise of the anti-noise signal module, and finally plays noise to offset the compressor noise. Many of the prior art have started with sound absorbers and performed passive noise control, but as the frequency decreases, the wavelength increases, which puts higher demands on the thickness of the sound absorber, and ultimately leads to a significant increase in cost. The noise of the compressor is mainly narrow-band noise of low frequency, and is not suitable for processing passive noise control.

The invention mainly designs the corresponding compressor active noise control device aiming at the compressor noise, and adopts a self-adaptive algorithm in the audio signal processing module, the algorithm can dynamically adjust the tap coefficient aiming at the compressor noise environment, and output the anti-noise signal corresponding to the compressor noise in real time, wherein the noise signal acquisition module only uses one reference microphone to acquire the noise, thereby further saving the cost and reducing the volume of the device.

Drawings

FIG. 1 is a schematic structural diagram of an active noise control device of a compressor according to an embodiment of the present invention;

FIG. 2 is a flow chart of the operation of the active noise control device of the compressor according to the embodiment of the present invention;

in the figure: 1: a compressor body; 2: a noise signal acquisition module; 3: an audio signal processing module; 4: the anti-noise signal module 5: secondary path noise signal generation module

Detailed Description

The technical solutions in the embodiments of the present invention will be described in detail and clearly with reference to the accompanying drawings. The described embodiments are only some of the embodiments of the present invention.

The technical scheme for solving the technical problems is as follows:

as shown in fig. 1-2, an active noise control device for a compressor according to an embodiment of the present invention includes a compressor body 1, and a noise signal collection module 2, an audio signal processing module 3, an anti-noise signal calculation module 4, and a secondary path noise signal generation module 5 disposed on the compressor body 1, where the noise signal collection module 2 is connected to the audio signal processing module 3, the audio signal processing module 3 is respectively connected to the anti-noise signal processing module 4 and the secondary path noise signal generation module 5, and the anti-noise signal module 4 is connected to the secondary path noise signal generation module 5.

The compressor body 1 is in the starting process of the compressor. Noise caused by air inlet and outlet of the engine and noise of the compressor generated by collision of the internal piston.

The noise signal acquisition module 2 is used for acquiring a compressor noise signal generated by the compressor body 1 and transmitting the compressor noise signal as a primary noise signal to the audio signal processing module 3. Wherein, the sampling frequency of the compressor noise signal collected by the noise signal collecting module 2 is 44.8 KHz.

The primary noise signal transmitted by the noise signal acquisition module 2 is used for the audio signal processing module 3, and the primary noise signal is used for the secondary path noise signal generation module 5. Meanwhile, the audio signal processing module 3 calls an adaptive algorithm to obtain a secondary path estimation value only aiming at the primary noise signal, and then the primary noise and the secondary path estimation value are used for the anti-noise signal module 4, wherein the secondary path estimation value is an extremely important parameter in the anti-noise signal module 4.

The anti-noise signal module 4 receives the audio signal processing module 3 and transmits the audio signal to the primary noise signal and the secondary path estimated value, and the anti-noise signal module 4 obtains an anti-noise signal through a self-adaptive algorithm and transmits the anti-noise signal to the secondary path noise signal generating module 5.

The secondary path noise signal generating module 5 is configured to receive the anti-noise signal transmitted by the anti-noise signal module 4 and the primary noise signal transmitted by the audio signal processing module 3, and play the anti-noise signal to cancel the compressor noise. Wherein the anti-noise signal is of the same amplitude, the same frequency and opposite phase to the primary noise signal, i.e. the anti-noise signal is of the same amplitude, the same frequency and opposite phase to the compressor noise signal.

Further, the noise signal collection module 2 includes an error sensor for collecting compressor noise generated by the compressor body 1 and transmitting the compressor noise to a spectrum analyzer, and the spectrum analyzer performs spectrum analysis on the compressor noise signal because the method of active noise control has unique advantages for low frequency noise. The noise of the compressor after the frequency spectrum analysis of the noise signal acquisition module 2 is stored as a primary noise signal and is sent to the audio signal processing module 3.

Further, the audio signal processing module 3 has a microprocessor 1 of a secondary path channel estimation algorithm, and the microprocessor 1 is configured to process the primary noise signal to obtain a channel estimation value of a secondary path of the primary noise signal.

Specifically, the microprocessor comprises a power amplification module, a secondary path channel estimation module and an adaptive filter, wherein the power amplification module is used for amplifying primary noise. And the secondary path estimation module and the self-adaptive filter respectively perform calculation post-processing on the primary noise signal subjected to power amplification processing to obtain an estimation value of a secondary channel. The process of calculating the secondary path estimation value by the audio signal processing module 3 can be expressed as:

the power amplification module is used for carrying out power amplification processing on the primary noise signal, and the primary noise signal after power amplification is applied to a secondary channel estimation module and an adaptive filter and is used as an input value for estimating a secondary channel algorithm and the adaptive filter;

initializing system parameters, and setting a target value of a corresponding output error;

when the difference value between the output signal of the estimation submodule of the secondary channel and the output signal of the adaptive filter reaches a set target value, starting to update the tap coefficient of the adaptive filter, and finally obtaining the estimation value of the secondary channel; the anti-noise signal processing process calculated by the anti-noise signal calculation module is as follows:

inputting the primary noise signal and the secondary channel estimation value into an adaptive algorithm module 2 as input parameters of an adaptive algorithm;

initializing parameters in the self-adaptive algorithm module 2, and setting the order of a controller and the length of a data block;

and calling a self-adaptive algorithm to obtain an optimal anti-noise signal value, and outputting and calculating an anti-noise signal aiming at the compressor noise in the gas station.

As shown in fig. 2, the working process of the compressor active noise control device of the present invention is as follows: the compressor body 1 generates compressor noise during starting and operation. Aiming at a compressor noise signal generated by a compressor, a noise signal acquisition module 2 receives the noise signal, performs spectrum analysis and stores the noise signal as a primary noise signal, and transmits the primary noise signal to an audio signal processing module 3. the audio signal processing module 3 receives the primary noise signal, transmits the primary noise signal to a secondary noise signal generation module 5, obtains an estimated value of a secondary path acoustic channel aiming at the primary noise signal by calling the estimated value of the secondary path acoustic channel, and transmits the estimated value to an anti-noise signal module. The anti-noise new year old good module 4 loads the estimated value of the secondary path channel, the primary noise signal is utilized, the self-adaptive algorithm is called to obtain the anti-noise signal and the anti-noise signal is transmitted to the secondary path noise signal generating module 5, the secondary path noise signal generating module 5 receives the anti-noise of the anti-noise signal module, and the full-frequency loudspeaker is used for playing the anti-noise signal to offset the noise of the compressor.

Table 1 shows the experimental results of the noise cancellation experiment performed by the active noise control device for a compressor according to the present invention, and it is apparent from table 1 that the noise reduction effect of the active noise control device for a compressor according to the present invention is very significant.

TABLE 1 actual measurement of compressor in gas station

In conclusion, the compressor active noise control device has the advantages of obvious noise reduction effect, light weight, small volume and easy installation and realization due to better low-frequency noise control characteristics.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

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 computer storage media 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 that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.