CN114112006A - Noise monitoring method and device and electronic equipment - Google Patents

Noise monitoring method and device and electronic equipment Download PDF

Info

Publication number
CN114112006A
CN114112006A CN202111421252.8A CN202111421252A CN114112006A CN 114112006 A CN114112006 A CN 114112006A CN 202111421252 A CN202111421252 A CN 202111421252A CN 114112006 A CN114112006 A CN 114112006A
Authority
CN
China
Prior art keywords
power spectrum
noise monitoring
frequency response
target
electric signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111421252.8A
Other languages
Chinese (zh)
Inventor
陈志勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongke Chuanqi Suzhou Technology Co ltd
Original Assignee
Zhongke Chuanqi Suzhou Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongke Chuanqi Suzhou Technology Co ltd filed Critical Zhongke Chuanqi Suzhou Technology Co ltd
Priority to CN202111421252.8A priority Critical patent/CN114112006A/en
Publication of CN114112006A publication Critical patent/CN114112006A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H11/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
    • G01H11/06Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a noise monitoring method, a device and electronic equipment, wherein the noise monitoring method comprises the following steps: acquiring a corresponding target power spectrum based on the acquired first target electric signal; correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum; calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum; the noise monitoring method improves the accuracy of a noise monitoring result in a mode of correcting a target power spectrum corresponding to a collected first target electric signal based on a circuit frequency response and a microphone frequency response of a monitoring device so as to realize accurate monitoring of noise in an open environment.

Description

Noise monitoring method and device and electronic equipment
Technical Field
The present invention relates to the field of noise monitoring technologies, and in particular, to a noise monitoring method and apparatus, and an electronic device.
Background
We generally refer to unwanted sounds as noise, such as ambient noise, traffic noise, etc. The noise not only brings unwanted signals and interference to people to cause people to feel uncomfortable, but also seriously harms human health after being exposed to strong noise environment for a long time, causes diseases in aspects of cardiovascular systems, nervous systems and the like, and causes hearing impairment.
In order to better reduce or avoid noise pollution, the intensity and distribution of the noise needs to be monitored first. However, the conventional noise monitoring device for noise monitoring is usually large in size, and needs to be matched with a plurality of professional instruments and special monitoring environments (such as anechoic chambers) to realize accurate noise monitoring, so that the popularization and use difficulty of the product is high.
Therefore, some microphones with measured frequency response are matched with a self-developed acquisition and processing system to carry out noise monitoring, however, according to monitoring data, the monitoring results of the equipment still have certain errors and can only meet the secondary requirements of relevant standards.
Therefore, in view of the better versatility of the self-research monitoring device, how to improve the monitoring accuracy of the self-research monitoring device is a problem to be solved currently.
Disclosure of Invention
The invention aims to provide a noise monitoring method, a noise monitoring device and electronic equipment, which have good universality and high noise monitoring accuracy.
In order to achieve the purpose, the invention provides the following technical scheme:
in one aspect, a noise monitoring method is provided, where the noise monitoring method includes:
acquiring a corresponding target power spectrum based on the acquired first target electric signal;
correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum;
and calculating to obtain a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum.
In a preferred embodiment, the obtaining a corresponding target power spectrum based on the acquired first target electrical signal includes:
collecting a first target electric signal, and converting the first target electric signal into an acoustic signal;
and carrying out fast Fourier transform on the acoustic signal to obtain a corresponding target power spectrum.
In a preferred embodiment, the modifying the target power spectrum based on the pre-obtained circuit frequency response of the noise monitoring device and the corresponding frequency response of the first target electrical signal to obtain a modified power spectrum includes:
correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device to obtain a first corrected power spectrum;
and correcting the first corrected frequency spectrum based on the corresponding frequency response of the first pre-acquired target electric signal to obtain the corrected power spectrum.
In a preferred embodiment, the obtaining a noise monitoring result corresponding to the first target electrical signal based on the modified power spectrum calculation includes:
carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum;
performing time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum;
and calculating to obtain a corresponding noise monitoring result based on the first weighted power spectrum and the second weighted power spectrum, wherein the noise monitoring result comprises weighted equivalent sound pressure level, one-third octave sound pressure level and statistical sound level.
In a preferred embodiment, the method further comprises: pre-acquiring a circuit frequency response of the noise monitoring device, comprising:
acquiring a second target electric signal sent by a signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude;
sending the identification signal corresponding to the second target electric signal to a processing terminal;
and receiving and storing the circuit frequency response fed back by the processing terminal, wherein the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
In a second aspect, there is provided a noise monitoring device, comprising:
the acquisition module is used for acquiring a corresponding target power spectrum based on the acquired first target electric signal;
the correction module is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum;
and the calculation module is used for calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum.
In a preferred embodiment, the correction module includes:
the first correction unit is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device to obtain a first corrected power spectrum;
and the second correction unit is used for correcting the first correction frequency spectrum based on the frequency response corresponding to the first target electric signal acquired in advance to obtain the corrected power spectrum.
In a preferred embodiment, the calculation module comprises:
the first calculating unit is used for carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum;
the second calculation unit is used for carrying out time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum;
and the third calculating unit is used for calculating and obtaining a corresponding noise monitoring result based on the second weighted power spectrum, wherein the noise monitoring result comprises a weighted equivalent sound pressure level, a one-third octave sound pressure level and a statistical sound level.
In a preferred embodiment, the apparatus further includes a circuit frequency response obtaining module, configured to obtain the circuit frequency response of the noise monitoring apparatus in advance, including:
the acquisition unit is used for acquiring a second target electric signal sent by the signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude;
a transmitting unit for transmitting an identification signal corresponding to the second target electrical signal to a processing terminal;
and the storage unit is used for receiving and storing the circuit frequency response fed back by the processing terminal, and the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
In a third aspect, an electronic device is provided, including:
one or more processors; and
memory associated with the one or more processors for storing program instructions which, when read and executed by the one or more processors, perform the method of any of the first aspects.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a noise monitoring method, which comprises the following steps: acquiring a corresponding target power spectrum based on the acquired first target electric signal; correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum; calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum; the noise monitoring method improves the accuracy of a noise monitoring result in a mode of correcting a target power spectrum corresponding to a collected first target electric signal based on a circuit frequency response and a microphone frequency response of a monitoring device so as to realize accurate monitoring of noise in an open environment;
in addition, the pre-acquiring a circuit frequency response of the noise monitoring device includes: acquiring a second target electric signal sent by the signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude; sending the identification signal corresponding to the second target electric signal to a processing terminal; receiving and storing the circuit frequency response fed back by the processing terminal, wherein the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal; according to the method and the device, the automatic measurement of the circuit frequency response of the noise monitoring device can be realized in a mode that the processing terminal and the signal generator are matched with the noise monitoring device, so that the power spectrum correction during post noise monitoring is facilitated.
Drawings
Fig. 1 is a flowchart of a noise monitoring method in the present embodiment;
fig. 2 is an exemplary noise monitoring result obtained by the noise monitoring method in the present embodiment;
FIG. 3 is a schematic structural diagram of a noise monitoring device according to the present embodiment;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, 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, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
As described in the background art, in order to implement noise monitoring in an open environment, a more general and feasible method is to use a microphone with a measured frequency response and a self-developed noise monitoring device. In order to further improve the monitoring precision of the noise monitoring device, the embodiments provide a noise monitoring method, a noise monitoring device and an electronic device, which can effectively improve the noise monitoring accuracy in an open environment.
The noise monitoring method, apparatus and electronic device of the present embodiment will be described in further detail with reference to fig. 1-2.
Examples
As shown in fig. 1, the present embodiment provides a noise monitoring method, which includes the following steps:
and S1, acquiring a corresponding target power spectrum based on the acquired first target electric signal.
In the embodiment, when noise monitoring is performed, a microphone collects target environment sound and converts the sound into a corresponding electrical signal, and the corresponding electrical signal is the first target electrical signal in the embodiment and is transmitted to the noise monitoring device.
Specifically, the step S1 includes:
s11, collecting a first target electric signal, and converting the first target electric signal into an acoustic signal;
of course, before step S11, the method further includes: the noise monitoring device performs anti-aliasing filtering prior to sampling to reduce aliasing frequency components to a negligible level in the output level.
And after receiving the first target electric signal, the circuit in the noise monitoring device amplifies, filters and the like the first target electric signal so as to improve the signal-to-noise ratio.
And S12, carrying out fast Fourier transform on the acoustic signal to obtain a corresponding target power spectrum.
In step S1, the signal conditioning of these analog front ends may cause attenuation of high frequency of the signal, and the related standards such as the sound level meter and the noise detector have certain requirements for high frequency error, so that the circuits in the noise monitoring device need to be modified before noise monitoring, that is, the method further includes the steps of:
s0, obtaining the circuit frequency response of the noise monitoring device in advance, wherein the step S0 specifically includes:
and S01, acquiring the second target electric signal sent by the signal generator. The second target electrical signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude.
Of course, before this step, the input of the noise monitoring device needs to be disconnected from the microphone to avoid the first target electrical signal from causing signal interference to the second target electrical signal. Meanwhile, the input end of the noise monitoring device is electrically connected with the signal generator so as to realize that the noise monitoring device obtains an electric signal from the signal generator. Meanwhile, the signal generator is in communication connection with the processing terminal so as to control the amplitude, the frequency, the signal start-stop time and the like of the second target electric signal sent by the signal generator through the processing terminal (such as a PC). And connecting the input end of the noise monitoring device with the processing terminal in a communication mode so as to facilitate data transmission between the noise monitoring device and the processing terminal.
The signal generator and the noise monitoring device are in communication connection with the processing terminal through different USB and network ports.
And S02, sending the identification signal corresponding to the second target electric signal to the processing terminal.
Specifically, the processing terminal controls the signal generator to send a second target signal to the noise monitoring device, the processing terminal controls the noise monitoring device to collect the second target signal to obtain a corresponding identification signal, and the noise monitoring device sends the collected corresponding identification signal to the processing terminal.
Illustratively, the processing terminal control signal generator sends a sinusoidal signal with equivalent sound pressure of 92.5mv to the noise monitoring device at 10Hz, and the processing terminal control noise monitoring device collects the signal to obtain a corresponding identification signal, and then controls the signal collecting device to transmit the identification signal to the processing terminal. After the identification signal acquisition is completed, the processing terminal starts to send out a command for sending out and acquiring a sinusoidal signal with the next frequency, such as 12.5Hz, and the steps are the same as the previous process until the scanning of all the frequencies is completed.
Of course, the identification signal has a certain deviation from the second target electrical signal in view of the influence of the circuit frequency response of the noise monitoring device itself, and the step S0 is just for acquiring the circuit frequency response to correct the monitoring data during the monitoring process.
And S03, receiving and storing the circuit frequency response fed back by the processing terminal, wherein the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
Specifically, the circuit frequency response of the noise monitoring device is calculated and obtained based on the amplitude of the second target electrical signal and the corresponding identification signal, and the calculation result is written into the noise monitoring device.
Further, the circuit frequency response fr of the noise monitoring devicecir(k) The formula (2) is shown in the following formula (1):
Figure BDA0003377475080000071
wherein, VppThe sampling dynamic range of the noise monitoring device is represented by k, where k represents the kth frequency point, n is the sampling bit number of the noise monitoring device, s (k, t) is the kth frequency sampling signal (i.e., identification signal) of the noise monitoring device, and V0 is the effective voltage of the electrical signal of the second target.
And S2, correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum.
Specifically, step S2 includes:
and S21, correcting the target power spectrum based on the circuit frequency response of the noise monitoring device acquired in the step S0 to obtain a first corrected power spectrum.
Specifically, the calculation formula of the first modified power spectrum pf1(k) is shown in the following formula (2):
Figure BDA0003377475080000072
where pf (k) is the power spectrum of the kth frequency of the acoustic signal acquired by the noise monitoring device, frcir(k) The circuit frequency response of the noise monitoring device obtained for the calculation of equation (1).
And S22, correcting the first corrected frequency spectrum based on the pre-acquired frequency response corresponding to the first target electric signal to obtain the corrected power spectrum.
Specifically, the calculation formula of the modified power spectrum pf2(k) is shown in the following formula (3):
Figure BDA0003377475080000073
where pf1(k) is the first modified power spectrum, fr obtained in step S21mic(k) The k point frequency response of the microphone.
In particular, frmic(k) The microphone characteristics are provided by the microphone manufacturer. Usually, the frequency response unit provided by the microphone manufacturer is dB, and needs to be converted into fr before being applied to formula (3)mic(k) The conversion formula is shown in the following formula (4):
Figure BDA0003377475080000081
therein, frdBmic(k) Is the kth point frequency response of the microphone in dB.
And S3, calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum. Specifically, step S3 includes the steps of:
and S31, carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum.
The present embodiment is not limited to a specific frequency domain weighting type, and for example, when a weighting is performed to obtain the first weighted power spectrum pfA, the calculation may be obtained by referring to the following equation (5):
pfA(k)=pf2(k)*Aweight2(k) (5)
wherein pf1(k) is the corrected power spectrum, Aweight, obtained in step S222(k) And weighting the kth frequency domain response amplitude of the A weighting filter.
And S32, performing time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum.
Specifically, in this embodiment, the time of obtaining the second weighted power spectrum pfat (k) by time-domain weighting is calculated with reference to the following formula (6):
Figure BDA0003377475080000082
wherein, tau is a time weighting constant, nfft is the length and frame length of Fourier transform, fs is the sampling rate, pfAt0The power spectrum weighted for the time domain of the previous frame.
And S33, calculating and obtaining a corresponding noise monitoring result based on the first weighted power spectrum and the second weighted power spectrum, wherein the noise monitoring result comprises weighted equivalent sound pressure level, one-third octave sound pressure level and statistical sound level.
Specifically, the weighted equivalent sound pressure level L is calculated by the following equation (7)AeqT
Figure BDA0003377475080000091
Where Nfrm is the number of frames in the average time period T, nfft is the length and frame length for Fourier transform, and p0As reference sound pressure (p)020 μ pa), pfa (k) is the first weighted power spectrum of the k-th point frequency response.
And calculating a one-third octave sound pressure level L using the following equation (8)OCT(i)
Figure BDA0003377475080000092
Wherein i represents the ith one-third octave point, kd (i) represents the frequency point corresponding to the lower limit frequency of the ith one-third octave point, and ku (i) represents the frequency point corresponding to the upper limit frequency of the ith one-third octave point.
In addition, the sound level monitoring quantity L is countedNMeans that the sound level value measured in N% of the time exceeds L during the measurementu
Through detection, an exemplary noise monitoring result obtained by monitoring by using the noise monitoring method in the embodiment is shown in fig. 2, and it can be known from fig. 2 that frequency points are more different above 1000kHz, especially at a high-frequency one-third octave part.
In summary, the noise monitoring method provided in this embodiment improves the accuracy of the noise monitoring result in a manner that the target power spectrum corresponding to the acquired first target electrical signal is corrected based on the circuit frequency response of the monitoring device and the microphone frequency response, so as to realize accurate monitoring of noise in an open environment;
in addition, in the embodiment, the automatic measurement of the circuit frequency response of the noise monitoring device can be realized in a mode that the processing terminal and the signal generator are matched with the noise monitoring device, so that the power spectrum correction during post noise monitoring is facilitated, and the accurate monitoring of the noise is improved.
As shown in fig. 3, the present embodiment further provides a noise monitoring apparatus, including:
the acquisition module is used for acquiring a corresponding target power spectrum based on the acquired first target electric signal;
the correction module is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum;
and the calculation module is used for calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum.
In a preferred embodiment, the obtaining module includes:
the acquisition unit is used for acquiring a first target electric signal and converting the first target electric signal into an acoustic signal;
and the processing unit is used for carrying out fast Fourier transform on the acoustic signal to obtain a corresponding target power spectrum.
In a preferred embodiment, the correction module includes:
the first correction unit is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device to obtain a first corrected power spectrum;
and the second correction unit is used for correcting the first correction frequency spectrum based on the frequency response corresponding to the first target electric signal acquired in advance to obtain the corrected power spectrum.
In a preferred embodiment, the calculation module comprises:
the first calculating unit is used for carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum;
the second calculation unit is used for carrying out time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum;
and the third calculating unit is used for calculating and obtaining a corresponding noise monitoring result based on the second weighted power spectrum, wherein the noise monitoring result comprises a weighted equivalent sound pressure level, a one-third octave sound pressure level and a statistical sound level.
In a preferred embodiment, the apparatus further includes a circuit frequency response obtaining module, configured to obtain the circuit frequency response of the noise monitoring apparatus in advance, including:
the acquisition unit is used for acquiring a second target electric signal sent by the signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude;
a transmitting unit for transmitting an identification signal corresponding to the second target electrical signal to a processing terminal;
and the storage unit is used for receiving and storing the circuit frequency response fed back by the processing terminal, and the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
It should be noted that: in the noise monitoring device provided in the above embodiment, when triggering a noise monitoring service, only the division of the above functional modules is used for illustration, and in practical application, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the above described functions. In addition, the embodiments of the noise monitoring apparatus and the noise monitoring method provided by the above embodiments belong to the same concept, that is, the system is based on the method, and the specific implementation process thereof is detailed in the method embodiments and is not described herein again.
In addition, the present embodiment further provides an electronic device, including:
one or more processors; and
a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform the aforementioned noise monitoring method.
With respect to the noise monitoring method implemented by executing the program instructions, the specific implementation details and corresponding beneficial effects are consistent with the descriptions in the foregoing method, and will not be described herein again.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present invention, that is, any multiple embodiments may be combined to meet the requirements of different application scenarios, which are within the protection scope of the present application and are not described herein again.
It should be understood that the above-mentioned embodiments are merely preferred embodiments of the present invention, and not intended to limit the present invention, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A noise monitoring method, characterized in that the noise monitoring method comprises:
acquiring a corresponding target power spectrum based on the acquired first target electric signal;
correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum;
and calculating to obtain a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum.
2. The noise monitoring method of claim 1, wherein obtaining a corresponding target power spectrum based on the acquired first target electrical signal comprises:
collecting a first target electric signal, and converting the first target electric signal into an acoustic signal;
and carrying out fast Fourier transform on the acoustic signal to obtain a corresponding target power spectrum.
3. The noise monitoring method according to claim 1, wherein the modifying the target power spectrum based on the pre-obtained circuit frequency response of the noise monitoring device and the corresponding frequency response of the first target electrical signal to obtain a modified power spectrum comprises:
correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device to obtain a first corrected power spectrum;
and correcting the first corrected frequency spectrum based on the corresponding frequency response of the first pre-acquired target electric signal to obtain the corrected power spectrum.
4. The noise monitoring method of claim 1, wherein the obtaining a noise monitoring result corresponding to the first target electrical signal based on the modified power spectrum calculation comprises:
carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum;
performing time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum;
and calculating to obtain a corresponding noise monitoring result based on the first weighted power spectrum and the second weighted power spectrum, wherein the noise monitoring result comprises weighted equivalent sound pressure level, one-third octave sound pressure level and statistical sound level.
5. The noise monitoring method according to any one of claims 1 to 4, further comprising: pre-acquiring a circuit frequency response of the noise monitoring device, comprising:
acquiring a second target electric signal sent by a signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude;
sending the identification signal corresponding to the second target electric signal to a processing terminal;
and receiving and storing the circuit frequency response fed back by the processing terminal, wherein the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
6. A noise monitoring device, characterized in that the noise monitoring device comprises:
the acquisition module is used for acquiring a corresponding target power spectrum based on the acquired first target electric signal;
the correction module is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device and the frequency response corresponding to the first target electric signal to obtain a corrected power spectrum;
and the calculation module is used for calculating and obtaining a noise monitoring result corresponding to the first target electric signal based on the corrected power spectrum.
7. The noise monitoring device of claim 6, wherein the modification module comprises:
the first correction unit is used for correcting the target power spectrum based on the pre-acquired circuit frequency response of the noise monitoring device to obtain a first corrected power spectrum;
and the second correction unit is used for correcting the first correction frequency spectrum based on the frequency response corresponding to the first target electric signal acquired in advance to obtain the corrected power spectrum.
8. The noise monitoring device of claim 6, wherein the calculation module comprises:
the first calculating unit is used for carrying out frequency domain weighting on the corrected power spectrum to obtain a first weighted power spectrum;
the second calculation unit is used for carrying out time domain weighting on the first weighted power spectrum to obtain a second weighted power spectrum;
and the third calculating unit is used for calculating and obtaining corresponding noise monitoring results based on the first weighting power spectrum and the second weighting power spectrum, and the noise monitoring results comprise weighting equivalent sound pressure level, one-third octave sound pressure level and statistical sound level.
9. The noise monitoring device according to any one of claims 6 to 8, wherein the device further comprises a circuit frequency response obtaining module for obtaining a circuit frequency response of the noise monitoring device in advance, and the circuit frequency response obtaining module comprises:
the acquisition unit is used for acquiring a second target electric signal sent by the signal generator, wherein the second target electric signal is a sinusoidal signal with preset different frequencies and preset fixed amplitude;
a transmitting unit for transmitting an identification signal corresponding to the second target electrical signal to a processing terminal;
and the storage unit is used for receiving and storing the circuit frequency response fed back by the processing terminal, and the circuit frequency response is obtained by the processing terminal through calculation based on the received second target electric signal and the identification signal.
10. An electronic device, comprising:
one or more processors; and
memory associated with the one or more processors for storing program instructions which, when read and executed by the one or more processors, perform the method of any of claims 1 to 5.
CN202111421252.8A 2021-11-26 2021-11-26 Noise monitoring method and device and electronic equipment Pending CN114112006A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111421252.8A CN114112006A (en) 2021-11-26 2021-11-26 Noise monitoring method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111421252.8A CN114112006A (en) 2021-11-26 2021-11-26 Noise monitoring method and device and electronic equipment

Publications (1)

Publication Number Publication Date
CN114112006A true CN114112006A (en) 2022-03-01

Family

ID=80370041

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111421252.8A Pending CN114112006A (en) 2021-11-26 2021-11-26 Noise monitoring method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN114112006A (en)

Citations (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3912880A (en) * 1973-07-06 1975-10-14 Edwin John Powter Acoustic measurement
US4307385A (en) * 1978-11-22 1981-12-22 Sue Ann Evans Noise monitoring apparatus
JPH03144379A (en) * 1989-10-31 1991-06-19 Toshiba Corp Noise evaluator for cycle time-varying circuit
US5172597A (en) * 1990-11-14 1992-12-22 General Electric Company Method and application for measuring sound power emitted by a source in a background of ambient noise
CA2239583A1 (en) * 1995-12-06 1997-06-12 University Of Washington System and method for measuring acoustic reflectance
JPH10267742A (en) * 1997-03-24 1998-10-09 Fuji Xerox Co Ltd Tone quality evaluating device and its method
EP0886130A2 (en) * 1997-06-16 1998-12-23 Bridgestone Corporation Method of and apparatus for predicting vehicle interior noise
JP2002323371A (en) * 2001-04-27 2002-11-08 Toshiba Corp Sound diagnostic device and sound diagnostic method
CA2549744A1 (en) * 2005-06-28 2006-12-28 Harman Becker Automotive Systems-Wavemakers, Inc. System for adaptive enhancement of speech signals
US20070013566A1 (en) * 2005-07-13 2007-01-18 Texas Instruments Incorporated Oversampling analog-to-digital converter and method with reduced chopping residue noise
US20070269055A1 (en) * 2006-05-17 2007-11-22 Erath Louis W Feedback System for a Multiple Element Loudspeaker
CN101138507A (en) * 2006-09-05 2008-03-12 深圳迈瑞生物医疗电子股份有限公司 Doppler bloodstream aural signal processing method and device thereof
CN101194535A (en) * 2005-05-18 2008-06-04 真实声音实验室有限责任公司 Method for correcting electroacoustic converter acoustic paramenter and device accomplishing the method
CN101614584A (en) * 2009-07-17 2009-12-30 深圳大学 A kind of noise measurement system and method based on digital signal processing
US20100126275A1 (en) * 2008-11-24 2010-05-27 Greg Leyh Self-calibrating ultrasound systems and methods
CN102547526A (en) * 2012-01-13 2012-07-04 广东启明科技发展有限公司 Real-time monitoring method and system of microphone working state
CN103438990A (en) * 2013-09-10 2013-12-11 北京科技大学 High-temperature-condition sound field measurement and analysis device and analysis method thereof
CN103778920A (en) * 2014-02-12 2014-05-07 北京工业大学 Speech enhancing and frequency response compensation fusion method in digital hearing-aid
CN103823175A (en) * 2014-01-10 2014-05-28 上海波汇通信科技有限公司 Photoelectric detection circuit frequency response characteristic test method based on OTDR
WO2014202286A1 (en) * 2013-06-21 2014-12-24 Brüel & Kjær Sound & Vibration Measurement A/S Method of determining noise sound contributions of noise sources of a motorized vehicle
CN104732097A (en) * 2015-03-31 2015-06-24 东南大学 Correcting method for power spectrum in modal frequency identification of railroad bridge under strong signal interference
KR101551183B1 (en) * 2014-11-26 2015-09-08 한국기계연구원 Vibration transmission analysis method in a precision machine
CN105424172A (en) * 2015-12-08 2016-03-23 国家电网公司 Noise detection system for distributed power transformer and noise detection method for distributed power transformer
KR20160109158A (en) * 2015-03-10 2016-09-21 (주)대주기계 Machinery health monitering method
CN106017837A (en) * 2016-06-30 2016-10-12 北京空间飞行器总体设计部 Simulation method of equivalent sound simulation source
US20160341598A1 (en) * 2015-05-18 2016-11-24 Vibration Research Corporation System and method for estimating power spectral density of a signal derived from a known noise source
CN106404214A (en) * 2016-07-07 2017-02-15 青岛华迪科技有限公司 Pseudorandom-sequence-based measuring device and method for temperature field of acoustic boiler
WO2017052550A1 (en) * 2015-09-24 2017-03-30 Intel Corporation Platform noise identification using platform integrated microphone
CN107328531A (en) * 2017-08-17 2017-11-07 合肥工业大学 Bubble noise detector in a kind of sodium based on signal-to-noise ratio computation
US20180091895A1 (en) * 2016-09-28 2018-03-29 Honda Motor Co., Ltd. Acoustic characteristic calibration method, acoustic characteristic calibration device, and fft circuit
CN108344501A (en) * 2018-01-29 2018-07-31 中国科学院声学研究所 Resonance identification and removing method and device in a kind of application of signal correlation
CN108429996A (en) * 2017-02-14 2018-08-21 联发科技股份有限公司 Active noise control method, circuit and relevant device
CN108801448A (en) * 2018-07-09 2018-11-13 滨州职业学院 A kind of urban traffic noise monitoring system of intelligent terminal monitoring
CN109655833A (en) * 2018-11-23 2019-04-19 中科传启(苏州)科技有限公司 The detection method and device of life entity
CN110595612A (en) * 2019-09-19 2019-12-20 三峡大学 Method and system for automatically calibrating sensitivity of microphone of noise acquisition device of power equipment
US20200336833A1 (en) * 2019-04-18 2020-10-22 Realtek Semiconductor Corp. Audio adjustment method and associated audio adjustment circuit for active noise cancellation
CN112201273A (en) * 2019-07-08 2021-01-08 北京声智科技有限公司 Noise power spectral density calculation method, system, equipment and medium
CN112345068A (en) * 2020-11-09 2021-02-09 杭州爱华仪器有限公司 Multi-frequency-point multifunctional sound calibration device and method
US20210105561A1 (en) * 2019-10-08 2021-04-08 Shenzhen Mooer Audio Co., Ltd. Terminal device, apparatus and method for simulating the characteristic of an audio processor, and computer-readable storage medium
CN113270107A (en) * 2021-04-13 2021-08-17 维沃移动通信有限公司 Method and device for acquiring noise loudness in audio signal and electronic equipment

Patent Citations (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3912880A (en) * 1973-07-06 1975-10-14 Edwin John Powter Acoustic measurement
US4307385A (en) * 1978-11-22 1981-12-22 Sue Ann Evans Noise monitoring apparatus
JPH03144379A (en) * 1989-10-31 1991-06-19 Toshiba Corp Noise evaluator for cycle time-varying circuit
US5172597A (en) * 1990-11-14 1992-12-22 General Electric Company Method and application for measuring sound power emitted by a source in a background of ambient noise
CA2239583A1 (en) * 1995-12-06 1997-06-12 University Of Washington System and method for measuring acoustic reflectance
JPH10267742A (en) * 1997-03-24 1998-10-09 Fuji Xerox Co Ltd Tone quality evaluating device and its method
EP0886130A2 (en) * 1997-06-16 1998-12-23 Bridgestone Corporation Method of and apparatus for predicting vehicle interior noise
JP2002323371A (en) * 2001-04-27 2002-11-08 Toshiba Corp Sound diagnostic device and sound diagnostic method
CN101194535A (en) * 2005-05-18 2008-06-04 真实声音实验室有限责任公司 Method for correcting electroacoustic converter acoustic paramenter and device accomplishing the method
CA2549744A1 (en) * 2005-06-28 2006-12-28 Harman Becker Automotive Systems-Wavemakers, Inc. System for adaptive enhancement of speech signals
US20070013566A1 (en) * 2005-07-13 2007-01-18 Texas Instruments Incorporated Oversampling analog-to-digital converter and method with reduced chopping residue noise
US20070269055A1 (en) * 2006-05-17 2007-11-22 Erath Louis W Feedback System for a Multiple Element Loudspeaker
CN101138507A (en) * 2006-09-05 2008-03-12 深圳迈瑞生物医疗电子股份有限公司 Doppler bloodstream aural signal processing method and device thereof
US20100126275A1 (en) * 2008-11-24 2010-05-27 Greg Leyh Self-calibrating ultrasound systems and methods
CN101614584A (en) * 2009-07-17 2009-12-30 深圳大学 A kind of noise measurement system and method based on digital signal processing
CN102547526A (en) * 2012-01-13 2012-07-04 广东启明科技发展有限公司 Real-time monitoring method and system of microphone working state
WO2014202286A1 (en) * 2013-06-21 2014-12-24 Brüel & Kjær Sound & Vibration Measurement A/S Method of determining noise sound contributions of noise sources of a motorized vehicle
CN103438990A (en) * 2013-09-10 2013-12-11 北京科技大学 High-temperature-condition sound field measurement and analysis device and analysis method thereof
CN103823175A (en) * 2014-01-10 2014-05-28 上海波汇通信科技有限公司 Photoelectric detection circuit frequency response characteristic test method based on OTDR
CN103778920A (en) * 2014-02-12 2014-05-07 北京工业大学 Speech enhancing and frequency response compensation fusion method in digital hearing-aid
KR101551183B1 (en) * 2014-11-26 2015-09-08 한국기계연구원 Vibration transmission analysis method in a precision machine
KR20160109158A (en) * 2015-03-10 2016-09-21 (주)대주기계 Machinery health monitering method
CN104732097A (en) * 2015-03-31 2015-06-24 东南大学 Correcting method for power spectrum in modal frequency identification of railroad bridge under strong signal interference
US20160341598A1 (en) * 2015-05-18 2016-11-24 Vibration Research Corporation System and method for estimating power spectral density of a signal derived from a known noise source
WO2017052550A1 (en) * 2015-09-24 2017-03-30 Intel Corporation Platform noise identification using platform integrated microphone
CN105424172A (en) * 2015-12-08 2016-03-23 国家电网公司 Noise detection system for distributed power transformer and noise detection method for distributed power transformer
CN106017837A (en) * 2016-06-30 2016-10-12 北京空间飞行器总体设计部 Simulation method of equivalent sound simulation source
CN106404214A (en) * 2016-07-07 2017-02-15 青岛华迪科技有限公司 Pseudorandom-sequence-based measuring device and method for temperature field of acoustic boiler
US20180091895A1 (en) * 2016-09-28 2018-03-29 Honda Motor Co., Ltd. Acoustic characteristic calibration method, acoustic characteristic calibration device, and fft circuit
CN108429996A (en) * 2017-02-14 2018-08-21 联发科技股份有限公司 Active noise control method, circuit and relevant device
CN107328531A (en) * 2017-08-17 2017-11-07 合肥工业大学 Bubble noise detector in a kind of sodium based on signal-to-noise ratio computation
CN108344501A (en) * 2018-01-29 2018-07-31 中国科学院声学研究所 Resonance identification and removing method and device in a kind of application of signal correlation
CN108801448A (en) * 2018-07-09 2018-11-13 滨州职业学院 A kind of urban traffic noise monitoring system of intelligent terminal monitoring
CN109655833A (en) * 2018-11-23 2019-04-19 中科传启(苏州)科技有限公司 The detection method and device of life entity
US20200336833A1 (en) * 2019-04-18 2020-10-22 Realtek Semiconductor Corp. Audio adjustment method and associated audio adjustment circuit for active noise cancellation
CN112201273A (en) * 2019-07-08 2021-01-08 北京声智科技有限公司 Noise power spectral density calculation method, system, equipment and medium
CN110595612A (en) * 2019-09-19 2019-12-20 三峡大学 Method and system for automatically calibrating sensitivity of microphone of noise acquisition device of power equipment
US20210105561A1 (en) * 2019-10-08 2021-04-08 Shenzhen Mooer Audio Co., Ltd. Terminal device, apparatus and method for simulating the characteristic of an audio processor, and computer-readable storage medium
CN112345068A (en) * 2020-11-09 2021-02-09 杭州爱华仪器有限公司 Multi-frequency-point multifunctional sound calibration device and method
CN113270107A (en) * 2021-04-13 2021-08-17 维沃移动通信有限公司 Method and device for acquiring noise loudness in audio signal and electronic equipment

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
卫翠玉 等: "ORCAD在HgCdTe红外探测器放大电路低噪声设计中的应用", 电子器件, no. 02, 20 April 2009 (2009-04-20) *
张海林;: "噪声测量中如何正确选择噪声发生器", 仪器仪表用户, no. 05, 8 October 2008 (2008-10-08) *
金晶;魏彪;冯鹏;唐跃林;周密;任勇;米德伶;: "一种中子脉冲序列的高速数据采集系统频率响应特性测定及修正新方法", 核电子学与探测技术, no. 04, 20 April 2010 (2010-04-20) *
魏勇;: "基于LabVIEW的机电设备噪声信号采集分析系统开发", 机械制造与自动化, no. 02, 20 April 2018 (2018-04-20) *

Similar Documents

Publication Publication Date Title
CN102157147B (en) Test method for objectively evaluating voice quality of pickup system
CN201984810U (en) Testing equipment for objectively evaluating speech quality of pickup system
Anderson et al. English verification of the STI method for estimating speech intelligibility of a communications channel
WO2019045304A1 (en) Anc test module and anc test device using same
CN111613248A (en) Pickup testing method, device and system
CN117641222B (en) Test evaluation system applied to noise reduction of earphone
CN117434426B (en) Test method, system and device of switched capacitor filter
CN114112006A (en) Noise monitoring method and device and electronic equipment
WO2007116765A1 (en) Testing apparatus and testing method
CN1988567A (en) System, device and method for detecting terminal audio signal strength
Cochran et al. A new measuring set for message circuit noise
CN109029710A (en) The method of monitoring and test sound and test ambient sound
CN103118205A (en) Method and device for testing call performance of downlink receiving terminal in noisy environment
CN111212372B (en) Automatic testing and calibrating method and device for audio call products
CN111092668A (en) Method and system for testing ambient noise suppression characteristics of talkback terminal
Richards et al. A development of the Collard principle of articulation calculation
CN111239664A (en) System and method for testing frequency response characteristic of far-end module box
Lombardo et al. A wearable system for noise assessment in workplaces
CN219459062U (en) Bluetooth communication device and Bluetooth equipment testing system
CN111092667A (en) Method and system for testing audio establishing time of talkback terminal
CN115695657B (en) Detection method, device and system for low-noise power supply by utilizing frequency spectrum to test voice gateway
CN117330939B (en) ATE-based switched capacitor filter adjustment and measurement method, system and storage medium
US20210084421A1 (en) Microphone
CN113783633B (en) Simulation device and method for multiband noise
CN116866808A (en) Speaker aging detection method, device and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination