CN110687506A - Low-frequency noise source positioning device and method based on vector microphone array - Google Patents
Low-frequency noise source positioning device and method based on vector microphone array Download PDFInfo
- Publication number
- CN110687506A CN110687506A CN201910964110.2A CN201910964110A CN110687506A CN 110687506 A CN110687506 A CN 110687506A CN 201910964110 A CN201910964110 A CN 201910964110A CN 110687506 A CN110687506 A CN 110687506A
- Authority
- CN
- China
- Prior art keywords
- vector
- array
- noise source
- low
- frequency noise
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000009826 distribution Methods 0.000 claims description 14
- 239000011159 matrix material Substances 0.000 claims description 10
- 229920000742 Cotton Polymers 0.000 claims description 7
- 230000004807 localization Effects 0.000 claims description 7
- 230000030279 gene silencing Effects 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 4
- 238000003491 array Methods 0.000 claims description 2
- 230000008030 elimination Effects 0.000 claims description 2
- 238000003379 elimination reaction Methods 0.000 claims description 2
- 238000005070 sampling Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 17
- 238000005259 measurement Methods 0.000 description 12
- 238000004590 computer program Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 4
- 239000000523 sample Substances 0.000 description 4
- 238000001228 spectrum Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/18—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using ultrasonic, sonic, or infrasonic waves
- G01S5/22—Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Circuit For Audible Band Transducer (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a low-frequency noise source positioning device and method based on a vector microphone array, which comprises the following steps: the system comprises a carrier loader, an array support frame, a data acquisition module, an image acquisition module, a power supply module, an industrial personal computer and a plurality of vector microphones; the vector microphones are fixedly arranged on the array support frame and are arranged in a grid array form; the directions of the vector microphones are uniform; the signal output end of each vector microphone is connected with the signal input end of the data acquisition module, and the signal output end of the data acquisition module is connected with the signal input end of the industrial personal computer; the signal output end of the image acquisition module is connected with the signal input end of the industrial personal computer; the industrial personal computer is loaded with a noise source analysis algorithm program, and the noise source analysis algorithm program is compiled based on a beam forming method for microphone array signal processing. The invention can realize the positioning of the low-frequency noise source by adopting the vector microphone array, and can improve the positioning precision of the low-frequency noise source.
Description
Technical Field
The invention belongs to the technical field of noise source positioning and array signal processing, and particularly relates to a low-frequency noise source positioning device and method based on a vector microphone array.
Background
With the rapid development of power grid construction, the problem of substation noise is increasingly prominent. Meanwhile, the requirements of the society on environmental protection are higher and higher, and the problem of transformer substation noise control becomes a new environmental protection hotspot in the power industry.
Noise management approaches can be divided into three categories: controlling the noise source, controlling the propagation path and protecting the receiver, wherein the noise source control is the most effective mode; the way of controlling the noise source requires measuring the location of the substation equipment noise source. The transformer substation noise is broadband noise with the frequency of 20Hz to 20KHz, the frequency spectrum consists of a continuous spectrum and a discrete spectrum, wherein the discrete frequency is an integer discrete frequency taking 50Hz as a fundamental frequency, and the continuous spectrum mainly consists of wind noise, low-frequency noise generated by mechanical vibration of transformer equipment and high-frequency noise generated by the surrounding environment; the method is particularly critical to the treatment of low-frequency noise sources.
The noise source positioning and measuring method mainly comprises a traditional noise source positioning and identifying method and an array signal processing method.
The traditional noise source positioning and identifying method mainly comprises a subjective evaluation method, a sound intensity measuring method and the like. The subjective evaluation method is to distinguish different sounds by the auditory system of a person and subjectively judge the position and frequency of a sound source according to experience. The method has strong subjectivity, varies from person to person and cannot realize accurate measurement. The sound intensity measurement method is carried out by utilizing the directional characteristic of a sound intensity probe; the sound intensity measuring probe can distinguish the incident direction of the sound wave, so that the incident direction of the sound wave is determined, and the noise position is determined. The method has good effect on a single sound source, but has poor measurement effect on a complex composite sound source; the sound field around the transformer substation is complex, and is not a single sound source, so that the traditional noise source positioning method is obviously not suitable.
The array signal processing method can be classified into a conventional beamforming method and a high resolution beamforming method. The conventional beam forming method is to sample a spatial noise field by using a sound pressure microphone array, and then perform phase compensation on data received by each microphone according to time delay information of signals received by different array elements, so as to obtain the position of a noise source. The method requires that the aperture of the array is equivalent to the wavelength of a sound source, and the spacing between array elements is less than or equal to half of the wavelength; because the wavelength of the low-frequency sound source is larger, the required array aperture is also larger, the aperture expansion is generally realized by the synthetic aperture, but the method for realizing the synthetic aperture is complex to operate. The high-resolution beam forming method adopts a sound pressure microphone to sample a space noise field, and then processes received data by high-resolution methods such as MVDR, MUSIC and the like. The disadvantage of this method is the sensitivity to the position of the array elements and the poor stability.
In summary, a new noise source positioning and measuring device and method are needed.
Disclosure of Invention
The present invention is directed to a device and a method for locating a low-frequency noise source based on a vector microphone array, so as to solve one or more of the above-mentioned problems. The invention can realize the positioning of the low-frequency noise source by adopting the vector microphone array, and can improve the positioning precision of the low-frequency noise source.
In order to achieve the purpose, the invention adopts the following technical scheme:
a vector microphone array based low frequency noise source localization apparatus comprising:
the carrier loader is used for realizing the integral movement of the low-frequency noise source positioning device;
the vector microphones are used for acquiring noise signals of a region to be detected;
the image acquisition module is used for acquiring the picture or video information of the area to be detected;
and the industrial personal computer is used for superposing the noise energy distribution and the picture or video according to the noise signals obtained by the vector microphones and the picture or video information obtained by the image acquisition module to generate a sound picture or a sound video, displaying the noise distribution of the region to be detected and acquiring the position of the low-frequency noise source.
The invention further improves the method and also comprises the following steps: the array support frame comprises a data acquisition module and an array support frame;
the array support frame, the data acquisition module and the industrial personal computer are all fixedly arranged on the carrier loader;
the vector microphones are fixedly arranged on the array support frame, and the vector microphones are arranged in a grid array form; the directions of the plurality of vector microphones are uniform; the acquisition end of each vector microphone is used for acquiring a noise signal of a region to be detected, the signal output end of each vector microphone is connected with the signal input end of the data acquisition module, and the signal output end of the data acquisition module is connected with the signal input end of the industrial personal computer;
the industrial personal computer is loaded with a noise source analysis algorithm program, and the noise source analysis algorithm program is compiled based on a beam forming method for microphone array signal processing.
The invention is further improved in that the frequency range of the low-frequency noise is 100-500 Hz.
A further development of the invention is that the plurality of vector microphones are arranged in the form of a square array.
The invention has the further improvement that the array support frame is a detachable hollow support frame structure.
The invention has the further improvement that the image acquisition module adopts a high-definition USB camera; the data acquisition module adopts an NI PXle data acquisition system.
The invention has the further improvement that when in use, silencing cotton is paved on the ground between the low-frequency noise source positioning device and the area to be measured; when the device is used, the distance between the low-frequency noise source positioning device and a region to be measured meets the near-field condition.
A low-frequency noise source positioning method based on a vector microphone array comprises the following steps:
step 1: carrying out noise sampling on a region to be measured through a vector microphone array;
step 2: recording all the channel data collected at the point to be detected as x, and constructing a data covariance matrix R of the vector array according to all the channel data x; the construction expression of the data covariance matrix R is as follows: r ═ E (xx)H) (ii) a Constructing a guide vector of a vector microphone array at a point to be detected;
and step 3: and (3) solving the energy of the point to be measured according to the data covariance matrix and the guide vector obtained in the step (2), wherein the expression is as follows: p ═ E (yy)H)＝wHRw; wherein y is wHx；
And 4, step 4: and (4) repeating the step (2) and the step (3) until the whole plane to be detected is traversed to obtain the noise distribution of the plane to be detected, wherein the highest energy point is used as the position of the low-frequency noise source.
A further development of the invention is that,
in step 1, the vector microphone arrays are arranged in a grid array form;
in step 2, the expression of the guide vector is:
wherein, w(i,p),w(i,x),w(i,y),w(i,z)Respectively representing the sound pressure, the vibration velocity x, the vibration velocity y and the vibration velocity z channels r of the ith array element0Representing the coordinates of the point to be measured, rmCoordinates of the m-th array element, c the speed of sound in air, thetamAnd
and representing the space azimuth angle and the pitch angle of the point to be measured when the mth array element is taken as the origin of coordinates.
The invention has the further improvement that the ground between the vector microphone array and the area to be measured is paved with silencing cotton; the distance between the vector microphone array and the region to be measured meets the near field condition.
Compared with the prior art, the invention has the following beneficial effects:
the positioning device generates a sound picture or a sound video by overlapping the noise energy distribution with the picture or the video, displays the noise distribution of a region to be detected and acquires the position of a low-frequency noise source; the device has good positioning effect through comparison of tests in the anechoic chamber, and has the advantages of convenient measurement, small number of microphones and low cost compared with the conventional sound pressure array noise source positioning method.
Further, the low frequency noise source positioning apparatus of the present invention includes: the system comprises a carrier loader, an array support frame, a data acquisition module, an image acquisition module, a power module, an industrial personal computer and a plurality of vector microphones, and the modules required by the equipment are integrated through system integration, so that the functions of the device and the disassembly and transportation are convenient to realize. The vector microphone array is provided with a plurality of vector microphones, the directions of the vector microphones are unified and the vector microphones are arranged in a grid array form, and the sound pressure and vibration speed information provided by the vector microphones can be fully utilized to realize accurate positioning of a low-frequency noise source.
Furthermore, after the vector microphone is adopted, the noise measurement range of the positioning device is 100Hz-500Hz, and the low-frequency sound source positioning in a specific range can be realized.
Furthermore, the vector microphones are arranged in a square grid mode, so that the array type has better performance compared with a cross array, a rectangular array and a circular array.
Furthermore, the array support frame adopts a detachable hollow support frame structure, so that the array weight is reduced, and the transportation is convenient.
Furthermore, when the device is used for measuring noise, the silencing cotton is paved on the ground between the low-frequency noise source positioning device and the area to be measured, so that the noise ground emission can be effectively reduced, and the interference of reflected sound on the measurement result is inhibited.
Furthermore, when the device is used for measuring noise, the distance between the low-frequency noise source positioning device and the area to be measured meets the near field condition, the analysis algorithm of the device is compiled based on near field focusing beam forming, and the near field condition is met, so that the measurement result is more accurate.
The positioning method of the invention adopts a vector microphone array beam forming method, and can fully utilize the sound pressure and vibration velocity information provided by the vector microphone to realize the accurate positioning of the low-frequency noise source.
Drawings
FIG. 1 is a schematic block diagram of a vector microphone array system in an embodiment of the present invention;
FIG. 2 is a schematic diagram of an array structure of a vector microphone array system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data preview interface of each channel of software of a transformer and reactor sound source positioning system based on a vector microphone array in the embodiment of the present invention;
FIG. 4 is a schematic diagram of a software noise source localization interface of a transformer and reactor sound source localization system based on a vector microphone array according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of comparison of experimental test results of anechoic chamber acoustic pressure matrix and vector matrix; fig. 5 (a) is a schematic diagram showing the positioning result of a conventional sound pressure microphone array of an anechoic chamber on a 500Hz test sound source; FIG. 5 (b) is a schematic diagram of the positioning result of the vector microphone array of the present invention for the same 500Hz sound source;
in fig. 2, 1 is a vector microphone; and 2 is a camera.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
Referring to fig. 1 and fig. 2, a high-precision positioning apparatus for a low-frequency noise source based on a vector microphone array according to an embodiment of the present invention may be used for positioning a sound source of a transformer or a reactor, and includes: the device comprises a vector microphone array, an array support crawler, a data acquisition system, an imaging module and auxiliary equipment thereof.
The vector microphone array is composed of a vector microphone 1 mounted at an array fixing position and a direct current power supply. For example, the vector microphone 1 may be a microphone autonomously produced by three domestic electric companies, and is used for collecting and positioning low-frequency sound sources of a transformer substation and a reactor, and the power supply is used for supplying power to the vector microphone. The array of the invention adopts a square array with the side length of 2 meters; the individual vector microphones 1 are arranged in a 5 × 5 uniform grid over the array; a camera 2 is mounted on the array at a position in the middle of the upper edge thereof, and is used for taking a picture of an observed object, as shown in fig. 2.
The array support crawler consists of a crawler and an array support frame; the support tracked vehicle is used for stably moving the vector microphone array, and the remote controller is driven by electric power to control the moving. The array support frame is used for firmly installing the microphone array on the tracked vehicle, and the array support frame has a larger space for placing other equipment of systems such as an industrial personal computer and a direct-current power supply.
Specifically, the data acquisition system comprises 4 acquisition board cards, and each acquisition board card is connected with each microphone of the vector microphone array through a communication cable to realize the acquisition of noise signals.
The imaging module is used for observing the position of a noise source, the noise source analysis algorithm module (written on an MATLAB platform, and adopts a beam forming method of microphone array signal processing to calculate the sound energy distribution on a scanning plane and generate a sound energy distribution diagram), the real-time noise energy distribution of the measured target is superposed with a field picture or video to generate a sound picture or a sound video, and the noise distribution of the measured target is visually displayed.
The auxiliary equipment comprises a power supply wire coil, a mouse, a keyboard and a display. The power wire coil is used for supplying power to the display and the acquisition system, and the display, the mouse and the keyboard are used for field operation and displaying the noise distribution condition.
Specifically, the design of the vector microphone array structure: the array wholly adopts 2 meters square overall arrangement, the disc that the diameter is 0.7 meters is installed to the center of square, in order to lighten array weight, this disc is made into cavity annular, find three interior point according to 0.5 meters interval on 4 edges of square, then draw forth the trunk to square central direction from extreme point and three interior point respectively, branch cuts fixedly to the ring anchor ring, can increase the stability of structure when in order to lighten weight, every two branch are made a cavity wholly. The arrangement positions of the microphones of the vector microphone array are as follows: two end points on the left side of the square and three inner points at intervals of 0.5 m are respectively provided with a vector microphone; the 5 points are translated to the right by 0.5 meter, respectively, 5 vector microphones are arranged on the 5 new points, and so on, until the right border of the square array is arranged with 5 microphones (25 vector microphones 1 in total).
More specifically, the camera 2 may be a keelvian high definition USB video camera. The tracked vehicle adopts a tracked vehicle of an extremely innovative technology. The microphone power supply adopts KEYSIGHT E3634A direct current power supply. The data acquisition system adopts NI PXl data acquisition system, and the system mainly includes: an embedded controller and an acquisition card; the embedded controller selects an NI PXl controller (provided with an Intel (R) Core i5-4400E CPU @2.70GHz2.70GHz processor and a dual-channel 8G memory), and the acquisition card selects an NI PXle-4303 dynamic signal acquisition module (4 acquisition modules in total, wherein each acquisition module can carry out 32-channel dynamic signal acquisition and high-precision frequency domain measurement).
The device adopts a vector microphone array to acquire sound field data, and a vector microphone 1 consists of a traditional sound pressure sensor and three vibration velocity sensors which are vertical to each other, so that more complete sound field information can be provided; it can provide higher spatial resolution capability relative to conventional beamforming techniques; meanwhile, the number of the microphones is less (the number of the microphones can be 2-50, and the number of the microphones is at least 63 in the conventional way), so that the cost can be greatly reduced; the method has the advantages that the small array aperture (which can be 0.5-5 m) is adopted, the low-frequency sound source positioning can be realized without adopting a synthetic aperture method, the operation is convenient, and the efficiency is high. In conclusion, the device of the invention adopts the square vector microphone array to ensure that the system has good positioning effect on low-frequency noise sources, and compared with the conventional sound pressure beam forming method, the device of the invention has the advantages of convenient measurement and less microphones.
The installation and operation method for the positioning field measurement of the transformer and the reactor noise source by using the vector microphone array comprises the following steps:
Step 6, array dismantling: the system is powered off, and then the microphone and the array are orderly dismantled.
Referring to fig. 3 and 4, a method for positioning a low-frequency noise source based on a vector microphone array with high accuracy according to an embodiment of the present invention includes the following steps:
step 1: the vector microphone array samples the noise at preselected locations.
Step 2: recording all channel data collected at a selected measuring point as x, constructing a data covariance matrix R of a vector array by all the channel data according to the following formula, wherein the data covariance matrix R can be obtained according to the following formula, and the expression is as follows:
R＝E(xxH) (1)。
and step 3: the steering vector of the vector microphone array is constructed according to the following expression:
wherein, w(i,p),w(i,x),w(i,y),w(i,z)Respectively representing the sound pressure, the vibration velocity x, the vibration velocity y and the vibration velocity z channels r of the ith array element0Representing the coordinates of the point to be measured, rmCoordinates of the m-th array element, c the speed of sound in air, thetamAnd
and representing the space azimuth angle and the pitch angle of the point to be measured when the mth array element is taken as the origin of coordinates.
And 4, step 4: by
P＝E(yyH)＝wHRw (3)
Get the point r to be measured0Energy of (a), wherein y ═ wHx。
And 5: will r is0And traversing the whole plane to be measured to obtain the noise distribution of the measuring plane, wherein the highest point of the energy is the position of the noise source.
Noise elimination cotton can be laid on the ground between the vector microphone array and the area to be detected; the distance between the vector microphone 1 array and the region to be measured meets the near-field condition.
Referring to fig. 5, fig. 5 is a schematic diagram of an experimental test result of an anechoic chamber acoustic pressure array and a vector array; fig. 5 (a) shows the positioning result of the conventional sound pressure microphone array of the anechoic chamber on the sound source tested at 500Hz, and the observation shows that the main lobe width is larger; fig. 5 (b) shows the positioning result of the vector microphone array on the same 500Hz sound source, and observation shows that the main lobe width is significantly smaller than that of the conventional microphone array, and the device of the present invention has a good positioning effect through testing in the anechoic chamber, and compared with the conventional sound pressure array noise source positioning method, the present invention has the advantages of convenient measurement, small microphone number and low cost.
In summary, the invention provides a high-precision positioning method for a low-frequency noise source based on a vector microphone array to solve the problem of positioning the low-frequency noise source such as a transformer and a reactor, the method adopts the vector microphone array to acquire sound field data, the vector microphone 1 consists of a traditional sound pressure sensor and three vibration velocity sensors which are perpendicular to each other, more complete sound field information can be provided, and under the complex noise environment of a transformer substation, a broadband noise signal is acquired in a space position by using the vector microphone array, so that the high-precision positioning of the low-frequency noise source can be realized.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A low frequency noise source localization apparatus based on a vector microphone array, comprising:
the carrier loader is used for realizing the integral movement of the low-frequency noise source positioning device;
the vector microphones are used for acquiring noise signals of a region to be detected;
the image acquisition module is used for acquiring the picture or video information of the area to be detected;
and the industrial personal computer is used for superposing the noise energy distribution and the picture or video according to the noise signals obtained by the vector microphones and the picture or video information obtained by the image acquisition module to generate a sound picture or a sound video, displaying the noise distribution of the region to be detected and acquiring the position of the low-frequency noise source.
2. A vector microphone array based low frequency noise source localization arrangement according to claim 1 further comprising: the array support frame comprises a data acquisition module and an array support frame;
the array support frame, the data acquisition module and the industrial personal computer are all fixedly arranged on the carrier loader;
the vector microphones are fixedly arranged on the array support frame, and the vector microphones are arranged in a grid array form; the directions of the plurality of vector microphones are uniform; the acquisition end of each vector microphone is used for acquiring a noise signal of a region to be detected, the signal output end of each vector microphone is connected with the signal input end of the data acquisition module, and the signal output end of the data acquisition module is connected with the signal input end of the industrial personal computer;
the industrial personal computer is loaded with a noise source analysis algorithm program, and the noise source analysis algorithm program is compiled based on a beam forming method for microphone array signal processing.
3. The vector microphone array-based low-frequency noise source positioning device as claimed in claim 1, wherein the frequency range of the low-frequency noise is 100-500 Hz.
4. A vector microphone array based low frequency noise source localization arrangement as claimed in claim 1 wherein said plurality of vector microphones are arranged in a square array.
5. The vector microphone array-based low-frequency noise source positioning device as claimed in claim 2, wherein the array support frame is a detachable hollowed support frame structure.
6. The vector microphone array-based low-frequency noise source positioning device as claimed in claim 2, wherein the image acquisition module employs a high-definition USB camera; the data acquisition module adopts an NI PXle data acquisition system.
7. A low frequency noise source localization arrangement based on vector microphone array according to any of claims 1 to 6,
when the device is used, silencing cotton is paved on the ground between the low-frequency noise source positioning device and the area to be measured;
when the device is used, the distance between the low-frequency noise source positioning device and a region to be measured meets the near-field condition.
8. A low-frequency noise source positioning method based on a vector microphone array is characterized by comprising the following steps:
step 1: carrying out noise sampling on a region to be measured through a vector microphone array;
step 2: recording all the channel data collected at the point to be detected as x, and constructing a data covariance matrix R of the vector array according to all the channel data x; the construction expression of the data covariance matrix R is as follows: r ═ E (xx)H) (ii) a Constructing a guide vector of a vector microphone array at a point to be detected;
and step 3: and (3) solving the energy of the point to be measured according to the data covariance matrix and the guide vector obtained in the step (2), wherein the expression is as follows: p ═ E (yy)H)＝wHRw; wherein y is wHx；
And 4, step 4: and (4) repeating the step (2) and the step (3) until the whole plane to be detected is traversed to obtain the noise distribution of the plane to be detected, wherein the highest energy point is used as the position of the low-frequency noise source.
9. A method for locating a low frequency noise source based on a vector microphone array as claimed in claim 8,
in step 1, the vector microphone arrays are arranged in a grid array form;
in step 2, the expression of the guide vector is:
wherein, w(i,p),w(i,x),w(i,y),w(i,z)Respectively representing the sound pressure, the vibration velocity x, the vibration velocity y and the vibration velocity z channels r of the ith array element0Representing the coordinates of the point to be measured, rmCoordinates of the m-th array element, c the speed of sound in air, thetamAnd
and representing the space azimuth angle and the pitch angle of the point to be measured when the mth array element is taken as the origin of coordinates.
10. The method for positioning the low-frequency noise source based on the vector microphone array as claimed in claim 8 or 9, wherein noise elimination cotton is paved on the ground between the vector microphone array and the area to be measured; the distance between the vector microphone array and the region to be measured meets the near field condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910964110.2A CN110687506A (en) | 2019-10-11 | 2019-10-11 | Low-frequency noise source positioning device and method based on vector microphone array |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910964110.2A CN110687506A (en) | 2019-10-11 | 2019-10-11 | Low-frequency noise source positioning device and method based on vector microphone array |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110687506A true CN110687506A (en) | 2020-01-14 |
Family
ID=69112053
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910964110.2A Pending CN110687506A (en) | 2019-10-11 | 2019-10-11 | Low-frequency noise source positioning device and method based on vector microphone array |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110687506A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112161814A (en) * | 2020-09-21 | 2021-01-01 | 西北工业大学 | Method and device for identifying and measuring noise of tail edge of planar blade cascade |
| CN113050036A (en) * | 2021-03-16 | 2021-06-29 | 国网山东省电力公司东营供电公司 | GIS beam forming positioning method based on multi-resonance point microphone array |
| CN113447114A (en) * | 2021-07-14 | 2021-09-28 | 北京航空航天大学 | Cylindrical integrated sound intensity sensing measurement recording device for extra-high voltage test line pipe bus and implementation method |
| CN113674762A (en) * | 2021-08-02 | 2021-11-19 | 大连理工大学 | Noise source identification system based on multiple signal classification algorithm and working method |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1764828A (en) * | 2003-01-30 | 2006-04-26 | 应用计算机科学促进协会 | Method and device for imaged representation of acoustic objects, a corresponding information program product and a recording support readable by a corresponding computer |
| CN102736063A (en) * | 2012-07-06 | 2012-10-17 | 绍兴文理学院 | Near-field sound source positioning method |
| CN102865918A (en) * | 2012-09-10 | 2013-01-09 | 浙江省计量科学研究院 | Measuring detection method and device of automatic environment noise monitoring system |
| CN103048641A (en) * | 2012-09-05 | 2013-04-17 | 哈尔滨工程大学 | Vector array steady focusing processing method with combined constraint optimization form |
| CN103516969A (en) * | 2013-08-23 | 2014-01-15 | Sm器械株式会社 | Movable acoustical camera and manufacturing method |
| CN103941223A (en) * | 2013-01-23 | 2014-07-23 | Abb技术有限公司 | Sound source positioning system and method |
| CN205541312U (en) * | 2016-04-26 | 2016-08-31 | 成都远控科技有限公司 | Remote monitoring monitoring and early warning system is synthesized to dwelling environment index |
| CN106092206A (en) * | 2016-08-03 | 2016-11-09 | 安徽中涣防务装备技术股份有限公司 | A kind of road environment comprehensive monitoring car |
| CN206876295U (en) * | 2017-04-21 | 2018-01-12 | 昆明理工大学 | A kind of Beamforming technology acoustical camera array rack device |
| CN108562871A (en) * | 2018-04-27 | 2018-09-21 | 国网陕西省电力公司电力科学研究院 | Low Frequency Noise Generator high-precision locating method based on vector microphone array |
| CN109471069A (en) * | 2018-09-28 | 2019-03-15 | 昆明理工大学 | A kind of random distribution microphone array |
| CN110006672A (en) * | 2019-04-09 | 2019-07-12 | 唐山百川智能机器股份有限公司 | Rail vehicle fault monitoring method based on acoustic imaging technology |
| WO2019193440A1 (en) * | 2018-04-06 | 2019-10-10 | Leonardo S.P.A. | Acoustic system for detecting and locating low intensity and low frequency sound sources and related locating method |
-
2019
- 2019-10-11 CN CN201910964110.2A patent/CN110687506A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1764828A (en) * | 2003-01-30 | 2006-04-26 | 应用计算机科学促进协会 | Method and device for imaged representation of acoustic objects, a corresponding information program product and a recording support readable by a corresponding computer |
| CN102736063A (en) * | 2012-07-06 | 2012-10-17 | 绍兴文理学院 | Near-field sound source positioning method |
| CN103048641A (en) * | 2012-09-05 | 2013-04-17 | 哈尔滨工程大学 | Vector array steady focusing processing method with combined constraint optimization form |
| CN102865918A (en) * | 2012-09-10 | 2013-01-09 | 浙江省计量科学研究院 | Measuring detection method and device of automatic environment noise monitoring system |
| CN103941223A (en) * | 2013-01-23 | 2014-07-23 | Abb技术有限公司 | Sound source positioning system and method |
| CN103516969A (en) * | 2013-08-23 | 2014-01-15 | Sm器械株式会社 | Movable acoustical camera and manufacturing method |
| CN205541312U (en) * | 2016-04-26 | 2016-08-31 | 成都远控科技有限公司 | Remote monitoring monitoring and early warning system is synthesized to dwelling environment index |
| CN106092206A (en) * | 2016-08-03 | 2016-11-09 | 安徽中涣防务装备技术股份有限公司 | A kind of road environment comprehensive monitoring car |
| CN206876295U (en) * | 2017-04-21 | 2018-01-12 | 昆明理工大学 | A kind of Beamforming technology acoustical camera array rack device |
| WO2019193440A1 (en) * | 2018-04-06 | 2019-10-10 | Leonardo S.P.A. | Acoustic system for detecting and locating low intensity and low frequency sound sources and related locating method |
| CN108562871A (en) * | 2018-04-27 | 2018-09-21 | 国网陕西省电力公司电力科学研究院 | Low Frequency Noise Generator high-precision locating method based on vector microphone array |
| CN109471069A (en) * | 2018-09-28 | 2019-03-15 | 昆明理工大学 | A kind of random distribution microphone array |
| CN110006672A (en) * | 2019-04-09 | 2019-07-12 | 唐山百川智能机器股份有限公司 | Rail vehicle fault monitoring method based on acoustic imaging technology |
Non-Patent Citations (2)
| Title |
|---|
| 周鑫等: "机场噪声与运行监测系统概述及应用探讨", 《环境影响评价》 * |
| 沈莘等: "城市噪声污染及监测方法综述", 《电子测量技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112161814A (en) * | 2020-09-21 | 2021-01-01 | 西北工业大学 | Method and device for identifying and measuring noise of tail edge of planar blade cascade |
| CN113050036A (en) * | 2021-03-16 | 2021-06-29 | 国网山东省电力公司东营供电公司 | GIS beam forming positioning method based on multi-resonance point microphone array |
| CN113050036B (en) * | 2021-03-16 | 2022-05-17 | 国网山东省电力公司东营供电公司 | GIS beam forming positioning method based on multi-resonance point microphone array |
| CN113447114A (en) * | 2021-07-14 | 2021-09-28 | 北京航空航天大学 | Cylindrical integrated sound intensity sensing measurement recording device for extra-high voltage test line pipe bus and implementation method |
| CN113674762A (en) * | 2021-08-02 | 2021-11-19 | 大连理工大学 | Noise source identification system based on multiple signal classification algorithm and working method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110687506A (en) | Low-frequency noise source positioning device and method based on vector microphone array | |
| CN105004412B (en) | A kind of system and method for improved transformer, the positioning of reactor noise source and vibration detection | |
| JP4722347B2 (en) | Sound source exploration system | |
| US8363512B2 (en) | Method and apparatus for estimating sound source | |
| JP4368798B2 (en) | Sound source exploration system | |
| JP4868671B2 (en) | Sound source exploration system | |
| CN109709437A (en) | A kind of device and method of the abnormal sound sound source position of extra-high voltage transformer for identification | |
| JP2014137323A (en) | Abnormality diagnosis apparatus and abnormality diagnosis method using the same | |
| US7929376B2 (en) | Method and apparatus for identifying noise sources | |
| CA2930914C (en) | Apparatus and method for monitoring and controlling detection of stray voltage anomalies using a photonic sensor | |
| Bocanegra et al. | A novel approach to port noise characterization using an acoustic camera | |
| CN204788643U (en) | System for improved generation transformer, reactor make an uproar sound localization and vibration detection | |
| CN203037774U (en) | Noise source positioner for transformer and electric reactor | |
| CN114495975A (en) | Abnormal sound source positioning method and device based on sound pressure amplitude ratio | |
| Prezelj et al. | A novel approach to localization of environmental noise sources: Sub-windowing for time domain beamforming | |
| JP4912612B2 (en) | Acoustic measuring device | |
| Moravec et al. | Conveyor failure diagnostics using sound visualization technique | |
| JP2011203048A (en) | Apparatus and method of locating sound source | |
| Comesana et al. | Assessing vehicle exterior noise using a virtual phased array (VPA) | |
| Chen et al. | Equipment Fault Acoustic Source Direction of Arrival Estimation with Microphone Arrays Using SRP-PHAT Method | |
| CN116577599A (en) | Cable fault positioning method and system for microphone and infrared thermal imaging combined positioning | |
| CN113639934B (en) | Three-dimensional positioning method and positioning system for gas leakage position | |
| Comesaña et al. | Loudspeaker cabinet characterization using a particle-velocity based scanning method | |
| Petrella et al. | Modelling, parametric analysis, and optimization of an experimental set-up for acoustic antenna calibration | |
| Szczepański | Sound Field Visualization in Noise Hazard Control |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200114 |