CN108954434A - A kind of kitchen ventilator and noise-reduction method of wavelet transformation noise reduction - Google Patents
A kind of kitchen ventilator and noise-reduction method of wavelet transformation noise reduction Download PDFInfo
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- CN108954434A CN108954434A CN201810772840.8A CN201810772840A CN108954434A CN 108954434 A CN108954434 A CN 108954434A CN 201810772840 A CN201810772840 A CN 201810772840A CN 108954434 A CN108954434 A CN 108954434A
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- 230000009467 reduction Effects 0.000 title claims abstract description 121
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000009466 transformation Effects 0.000 title claims abstract description 31
- 239000000779 smoke Substances 0.000 claims abstract description 57
- 230000000694 effects Effects 0.000 claims abstract description 19
- 238000006243 chemical reaction Methods 0.000 claims abstract description 13
- 230000003044 adaptive effect Effects 0.000 claims description 46
- 238000001914 filtration Methods 0.000 claims description 35
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- 230000005540 biological transmission Effects 0.000 claims description 13
- 230000002787 reinforcement Effects 0.000 claims description 9
- 229920000742 Cotton Polymers 0.000 claims description 6
- 238000013016 damping Methods 0.000 claims description 6
- 230000003014 reinforcing effect Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 239000010426 asphalt Substances 0.000 claims description 2
- 235000019504 cigarettes Nutrition 0.000 claims 2
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- 230000035479 physiological effects, processes and functions Effects 0.000 abstract description 3
- 230000006978 adaptation Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 201000004960 glottis neoplasm Diseases 0.000 description 5
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- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000006260 foam Substances 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2021—Arrangement or mounting of control or safety systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2035—Arrangement or mounting of filters
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
A kind of kitchen ventilator and noise-reduction method of wavelet transformation noise reduction, noise signal is resolved into multiple subband signals, it is converted to bandpass filter weight vector, the conversion of obtained bandpass filter weight vector is generated into corresponding sound field of loudspeaker again, and send equal strength acoustic signals to corresponding loudspeaker, the noise sound wave of kitchen ventilator generation is reduced or offset by the sound wave that corresponding loudspeaker generates, and realizes noise reduction.The kitchen ventilator of the wavelet transformation noise reduction reaches the optimization of smoke machine performance by the full encirclement structure or semi-surrounding structure of low resistance and the setting of adaptation function but is to complete work under the operating of low noise simultaneously, solve noise and the conflicting technological difficulties of performance, under the premise of not sacrificing the performance of fume-exhausting of smoke machine, the noise that smoke machine issues when operating is relatively low and does not cause user in physiology and psychological negative effect.
Description
Technical field
The present invention relates to kitchen ventilator field, in particular to a kind of the kitchen ventilator and noise-reduction method of wavelet transformation noise reduction.
Background technique
Current active noise reduction techniques, for example, on earphone application be all point-to-point noise reduction technology, i.e., it is directive
Noise reduction cannot effectively eliminate the biggish noise of range.These technologies, which are absorbed in, to be eliminated one in closed small pipeline or small space
The plane sound wave of a dimension is effectively under low frequency ranges (being less than 500Hz).Current smoke exhaust ventilator is low in order to realize
Noise usually directly sets low air quantity, that is, sacrifices the performance of the fume-exhausting of smoke machine to realize low noise, but the effect of its fume-exhausting
Fruit just greatly reduces；In addition there are also be to be provided with active noise reducing device, but its active noise reduction can only drop within 1000Hz
Noise can not adapt to high-order glottis neoplasms.But in three-dimensional space, high-order glottis neoplasms can not be ignored, especially closed big
Noise reduction is extremely difficult and complicated in space pipeline.Usually, a variety of standing waves and a variety of different directions sound waves are mutually dry
Superposition is related to, this just considerably increases the difficulty of three-dimensional space noise reduction.
Therefore, in view of the shortcomings of the prior art, to provide kitchen ventilator and the noise-reduction method of a kind of wavelet transformation noise reduction existing to solve
There is technical deficiency very necessary.
Summary of the invention
One of purpose of the invention is to avoid the deficiencies in the prior art place and provide a kind of wavelet transformation noise reduction
Kitchen ventilator noise-reduction method.The kitchen ventilator noise-reduction method of the wavelet transformation noise reduction can using the signal processing method of multiple subbands
It is effective to reduce a large amount of calculating, improve the effect of three-dimensional space noise reduction.
Above-mentioned purpose of the invention is realized by following technological means.
A kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction is provided, the following steps are included:
Step 1: determining and fixing A Noise Acquisition sensor, Q error returns the position of sensor and K loudspeaker
It sets；
Step 2: transmission function T of the determining initial noisc source to Noise Acquisition sensor1, loudspeaker it is empty to target noise reduction
Between transmission function T2With the transmission function T of Noise Acquisition sensor to target noise damping space3；
Step 3, the Noise Acquisition of collecting region of the A Noise Acquisition sensor respectively in smoke machine in space pass
Sensor signal, specially R1(n) ..., Ri(n) ..., RA(n), 4≤i≤A, i are positive integer,
Q error passback sensor noise collects the signal that the error respectively in region returns sensor, specially
ε1(n) ..., εv(n),......,εQ(n), 1≤v≤Q, v and Q are positive integer；
Step 4, the Noise Acquisition sensor signal conversion that the A Noise Acquisition sensor collection that step 1 is obtained arrives
For R (n)=[R1(n)......Ri(n).......RA(n)], error passback sensor after Q Noise Acquisition sensor amendment
Signal is converted into ε (n)=[ε1(n)......εv(n)......εQ(n)]；
The R (n) of step 4 is modified to by step 5 by formula (I)
Step 6, what D bandpass filter of three-dimensional space noise reduction control unit obtained step 5It is corresponding to decompose
For L subband: r1(k) ..., rg(k) ..., rL(k), ε (n) correspondence that step 4 obtains is decomposed into L subband: e1
(k) ..., eg(k) ..., eL(k), L >=g >=2 and L and g are positive integer；
Step 7, the subband r that step 6 is obtained1(k) ..., rg(k) ..., rL(k) and e1
(k) ..., eg(k) ..., eL(k), via the adaptive weighting coefficient for calculating L subband of filtering X lowest mean square
w1(k) ..., wg(k) ..., wL(k), w (k) is K × A × D matrix, and r (k) is Q × (A × K × D), and e (k) is Q
The matrix of × D；
Step 8, by L subband adaptive weighting coefficient w of D bandpass filter1(k) ..., wg
(k) ..., wL(k) it carries out fast wavelet transform and is transformed into L × Z frequency band, wherein Z is K × A × D matrix, and D is positive whole
Number；
Step 9 is superimposed the L × Z frequency band that step 8 obtains to form unique A × K matrix signal through the overfrequency addition method
Frequency；
Step 9 is obtained A × K matrix signal frequency progress Fu Li column inverse conversion conversion and solves and obtain band logical filter by step 10
Wave device weight vector Wij(n), wherein 1≤j≤K, 4≤i≤A；
Step 10 is obtained bandpass filter weight vector W by step 11ij(n) conversion generates K sound field of loudspeaker, and K are raised
Sound device sound field respectively corresponds as S1(n) ... .., Sj(n) ... .., SK(n), wherein 1≤j≤K, and according to by formula (II),
Initial noisc source R is collected by noise transduceri(n) with bandpass filter weight vector Wji(n) product is to estimate jth loudspeaking
The final noise field S of device output signalj(n),
Wherein,It is Wij(n) transposed matrix,It is Ri(n) pass through T2Transposed matrix after transmission function, Sj
It (n) is with noise source in 180 ° of reversed equal strength acoustic signals；
Step 12, by equal strength acoustic signals S1(n) ... .., Sj(n) ... .., SK(n) it respectively corresponds and sends K to
A loudspeaker；
Step 13, error return sensor detection effect, are iterated and correct adaptive weighting coefficient, met
It is required that final adaptive weighting coefficient and obtain Sj' (n), enter step 14；
Step 14, with Sj' (n) be final equal strength acoustic signals correspondence send corresponding loudspeaker to.
It is indicated by the cost function of the full band of formula (III) with the mean square deviation of error sensor signals to supervise three-dimensional noise reduction mould
The performance of type,
Wherein, n is the iteration index by adaptive algorithm；
It is describedWherein ε (n)=A (n)+Sj(n)·T2, wherein A (n) is initial noisc source in smoke machine
The final noise field formed after the transmitting of inner space.
Preferably, above-mentioned steps 13 have specifically included,
Step 13.1, noise figure Γ (n)=C of presetting error passback sensor noise, wherein C is that error returns noise
Sensor measures the noise figure of region, judges Γ (n) and [A (n)-Sj(n)T2]2Relationship, as [A (n)-Sj(n)T2]2>
When C, 13.2 are entered step, as [A (n)-Sj(n)T2]2When≤C, 13.4 are entered step；
Step 13.2, by w1(k) ..., wg(k) ..., wL(k) formula (IV) is substituted into respectively respectively obtain new w1
(k+1) ..., wg(k+1) ..., wL(k+1) L adaptive weighting coefficient, μ is convergence factor, is entered step
13.3,
W (k+1)=w (k)+[μ r (k) e (k)] formula (IV)；
Step 13.3, w is enabled1(k+1)=w1(k) ..., wg(k+1)=wg(k) ..., wL(k+1)=wL(k) divide
Not Wei filter weight vector, enter step eight；
Step 13.4, S is enabledj(n)=Sj' (n), enter step 14.
Preferably, the range of above-mentioned C value is -0.001dB to 0.001dB.
Noise signal is resolved into multiple subbands and believed by a kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction of the invention
Number, it is converted to bandpass filter weight vector, then the conversion of obtained bandpass filter weight vector is generated into corresponding loudspeaker sound
, and send equal strength acoustic signals to corresponding loudspeaker, it reduces or supports by the sound wave that corresponding loudspeaker generates
The noise sound wave that fumes exhauster generates realizes noise reduction.The kitchen ventilator is provided with smoke machine main body and the three-dimensional space for active noise reduction
Between sound field denoising device, Enclosed Sound Field denoising device is assemblied in smoke machine body interior.Furthermore a kind of small echo of the invention becomes
The kitchen ventilator noise-reduction method of noise reduction is changed, main feature is minimum using the signal processing method and filter joint of multiple subbands
Square (F-XLMS) algorithm, can effectively reduce a large amount of calculating, improve the effect of three-dimensional space noise reduction.Meanwhile it calculating
It measures and is inversely proportional with the quantity of subband, therefore be capable of the stability of consolidation system, and being capable of fast convergence.Another of this method is excellent
Point is the delay that can remove signal, improves whole noise reduction effect.
Another goal of the invention of the invention is a kind of kitchen ventilator of wavelet transformation noise reduction, using the oil smoke of above-mentioned noise-reduction method
Machine is provided with smoke machine main body and the Enclosed Sound Field denoising device for active noise reduction, Enclosed Sound Field denoising device dress
Assigned in smoke machine body interior.
The smoke machine main body is provided with the low resistance bellows for reducing wideband vibration, and low resistance bellows are assemblied in smoke machine master
Internal portion.
The low resistance bellows are provided with multiple bellows plates and noise filtering device, and multiple bellows plate splicings become one and stand
Body structure, noise filtering device are assemblied in the inner surface of bellows plate.
Preferably, above-mentioned smoke machine main body is additionally provided with exhausting component, and exhausting component is assemblied in low resistance inner bellows.
Preferably, above-mentioned exhausting component is located in the full encirclement structure formed by the strainer and low resistance bellows of air inlet
Portion；Or
The exhausting component be located at by containing low resistance bellows constitute at least there are two structural planes completely open half to wrap
The inside of closed structure.
Preferably, above-mentioned Enclosed Sound Field denoising device is provided with Enclosed Sound Field noise reduction unit and adaptive noise reduction
Control unit, adaptive noise reduction control unit are electrically connected with Enclosed Sound Field noise reduction unit, Enclosed Sound Field noise reduction unit
It is assemblied in smoke machine main body respectively with adaptive noise reduction control unit.
Preferably, above-mentioned Enclosed Sound Field noise reduction unit is provided with Noise Acquisition sensor, loudspeaker and acoustic resonance
Case, loudspeaker are installed on inside acoustic resonance case, and acoustic resonance case fixing assembling is in the lower section of exhausting component, Noise Acquisition sensing
Device is fixedly installed in exhausting component, and Noise Acquisition sensor and loudspeaker are electrically connected with adaptive noise reduction control unit respectively.
Preferably, above-mentioned adaptive noise reduction control unit is set as bandpass filter, and bandpass filter is assemblied in smoke machine master
Internal portion, and Noise Acquisition sensor and loudspeaker are electrically connected with bandpass filter respectively.
Preferably, above-mentioned exhausting component is provided with wind wheel, spiral case and for guiding air-flow to enter the pod of wind wheel two sides,
Pod and wind wheel are fixedly installed in spiral case, and wind wheel is assemblied in inside spiral case, and spiral case fixing assembling is in low resistance inner bellows.
Preferably, above-mentioned adaptive noise reduction control unit is additionally provided with error passback sensor, and it is solid that error returns sensor
Dingan County is electrically connected loaded on smoke machine body interior and the lower section of low resistance bellows that is located at, error passback sensor with bandpass filter
It connects.
Preferably, above-mentioned error passback sensor is located at the lower section of loudspeaker.
Preferably, above-mentioned loudspeaker and acoustics resonant tank are both provided with K, and loudspeaker and acoustics resonant tank correspond.
Preferably, above-mentioned acoustic resonance case fixing assembling in pod and is suspended on the bottoms of low resistance bellows.
Preferably, the air inlet of the cone of above-mentioned loudspeaker or diaphragm towards smoke machine main body, and it is parallel with air inlet or at
Angle β, and β≤60 °.
Preferably, above-mentioned A Noise Acquisition sensor is fixed on pod, and A >=K.
Preferably, above-mentioned Noise Acquisition sensor is located at the top of loudspeaker.
Preferably, above-mentioned noise filtering device is low resistance noise filtering plate.
Preferably, above-mentioned low resistance noise filtering plate, which is provided with, is distributed with multiple panel bodies for being used to eliminate noise through-hole
And reinforcement structure, reinforcement structure are fixed on panel body.
Preferably, above-mentioned reinforcement structure is at least one of reinforcing rib, rivet, guide margin, fixed frame, groove or convex closure.
Preferably, above-mentioned noise filtering device is provided with sound-absorbing part, sound-absorbing part be assemblied in low resistance noise filtering plate with it is low
Between the wall surface for damping bellows.
Preferably, the outer surface of above-mentioned low resistance bellows is equipped with foamed cotton plate, asphalt plank or rubber slab.
Preferably, above-mentioned Enclosed Sound Field denoising device noise reduction frequency range is 100Hz~2000Hz.
The kitchen ventilator of wavelet transformation noise reduction of the invention, low resistance bellows can make incidence wave and back wave with reflecting surface
It is specific distance under have out of phase, so that the sound wave of noise can cancel out each other, to reduce the intensity of noise.It is complete to surround
Structure or semi-surrounding structure can make the optimization for reaching smoke machine performance but be to complete work under the operating of low noise simultaneously,
Noise and the conflicting technological difficulties of performance are solved, under the premise of not sacrificing the performance of fume-exhausting of smoke machine, when smoke machine operates
The noise of sending is relatively low and does not cause user in physiology and psychological negative effect.Present invention design simultaneously and optimization are three-dimensional
Specific installation site of the space sound field denoising device in smoke machine, obtains the space of most effective noise reduction effect and effective noise reduction
Range.
Detailed description of the invention
Using attached drawing, the present invention is further illustrated, but the content in attached drawing is not constituted to any limit of the invention
System.
Fig. 1 is that the signal flow of the de-noising signal processing method of the kitchen ventilator noise-reduction method of wavelet transformation noise reduction of the present invention is shown
It is intended to.
Fig. 2 is the schematic diagram that bandpass filter returns sensor processing to Noise Acquisition sensor signal and error.
Fig. 3 is a kind of structural perspective of the kitchen ventilator embodiment 2 of wavelet transformation noise reduction of the present invention.
Fig. 4 is the side view of Fig. 3.
Fig. 5 is the local perspective view in Fig. 3.
Fig. 6 is the decomposition diagram of Fig. 5.
Fig. 7 is the perspective diagram of low resistance bellows.
Fig. 8 is noise filtering apparatus structure schematic diagram.
Fig. 9 is low resistance bellows top view.
Figure 10 is low resistance bellows main view.
Figure 11 is loudspeaker and air inlet angle schematic diagram.
Figure 12 is the structural schematic diagram of low resistance bellows, and A is full encirclement structure in Figure 12, and B is that A is another in Figure 12 in Figure 12
One angle, C is semi-surrounding structure in Figure 12, and D is another angle of C in Figure 12 in Figure 12.
Fig. 1 includes into Figure 12:
Smoke machine main body 1,
Low resistance bellows 11, noise filtering device 111, sound-absorbing part 112, reinforcement structure 113, through-hole 114, strainer 115,
Exhausting component 12, wind wheel 121, spiral case 122 and pod 123,
Enclosed Sound Field denoising device 2,
Enclosed Sound Field noise reduction unit 22, Noise Acquisition sensor 221, loudspeaker 222, acoustic resonance case 223,
Adaptive noise reduction control unit 23, bandpass filter 231, error passback sensor 232,
Kitchen range 3.
Specific embodiment
Technical solution of the present invention is described further with the following Examples.
Embodiment 1.
A kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction, as shown in Figs. 1-2, comprising the following steps:
Step 1: determining and fixing A Noise Acquisition sensor 221, Q error passback sensor 232 and K loudspeaker
222 position；
Step 2: transmission function T of the determining initial noisc source to Noise Acquisition sensor 2211, loudspeaker 222 arrive target
The transmission function T of noise damping space2The transmission function T of target noise damping space is arrived with Noise Acquisition sensor 2213；
Step 3, A Noise Acquisition sensor 221 respectively in smoke machine in space collection region Noise Acquisition
221 signal of sensor, specially R1(n) ..., Ri(n),......,RA(n), 4≤i≤A, i are positive integer,
Q error passback sensor noise collects the signal that the error respectively in region returns sensor 232, specifically
For ε1(n) ..., εv(n),......,εQ(n), 1≤v≤Q, v and Q are positive integer；
Step 4, the Noise Acquisition sensor 221 that the A Noise Acquisition sensor 221 that step 1 is obtained is collected into are believed
Number it is converted into R (n)=[R1(n)......Ri(n).......RA(n)] error is returned after, Q Noise Acquisition sensor 221 is corrected
The signal for passing sensor 232 is converted into ε (n)=[ε1(n)......εv(n)......εQ(n)]；
The R (n) of step 4 is modified to by step 5 by formula (I)
Step 6, what the D bandpass filter 231 of three-dimensional space noise reduction control unit obtained step 5Corresponding point
Solution is L subband: r1(k) ..., rg(k) ..., rL(k), ε (n) correspondence that step 4 obtains is decomposed into L subband:
e1(k) ..., eg(k) ..., eL(k), L >=g >=2 and L and g are positive integer；
Step 7, the subband r that step 6 is obtained1(k) ..., rg(k) ..., rL(k) and e1
(k) ..., eg(k) ..., eL(k), via the adaptive weighting coefficient for calculating L subband of filtering X lowest mean square
w1(k) ..., wg(k) ..., wL(k), w (k) is K × A × D matrix, and r (k) is Q × (A × K × D), and e (k) is Q
The matrix of × D；
Step 8, by L subband adaptive weighting coefficient w of D bandpass filter 2311(k) ..., wg
(k) ..., wL(k) it carries out fast wavelet transform and is transformed into L × Z frequency band, wherein Z is K × A × D matrix, and D is positive whole
Number；
Step 9 is superimposed the L × Z frequency band that step 8 obtains to form unique A × K matrix signal through the overfrequency addition method
Frequency；
Step 9 is obtained A × K matrix signal frequency progress Fu Li column inverse conversion conversion and solves and obtain band logical filter by step 10
231 weight vector W of wave deviceij(n), wherein 1≤j≤K, 4≤i≤A；
Step 10 is obtained 231 weight vector W of bandpass filter by step 11ij(n) conversion generates K 222 sound of loudspeaker
, K 222 sound field of loudspeaker respectively corresponds as S1(n) ... .., Sj(n) ... .., SK(n), wherein 1≤j≤K, and according to
By formula (II), initial noisc source R is collected by noise transduceri(n) with 231 weight vector W of bandpass filterji(n) product
To estimate the final noise field S of 222 output signal of jth loudspeakerj(n),
Wherein,It is Wij(n) transposed matrix,It is Ri(n) pass through T2Transposed matrix after transmission function, Sj
It (n) is with noise source in 180 ° of reversed equal strength acoustic signals；
Step 12, by equal strength acoustic signals S1(n) ... .., Sj(n) ... .., SK(n) it respectively corresponds and sends K to
A loudspeaker 222；
Step 13, error return 232 detection effect of sensor, are iterated and correct adaptive weighting coefficient, obtain
Satisfactory final adaptive weighting coefficient simultaneously obtains Sj' (n), enter step 14；
Step 14, with Sj' (n) be final equal strength acoustic signals correspondence send corresponding loudspeaker 222 to；
It is indicated by the cost function of the full band of formula (III) with the mean square deviation of error sensor signals to supervise three-dimensional noise reduction mould
The performance of type,
Wherein, n is the iteration index by adaptive algorithm；
Wherein ε (n)=A (n)+Sj(n)·T2, wherein A (n) is initial noisc source inside smoke machine
The final noise field formed after the transmitting of space.
Wherein step 13 has specifically included,
Step 13.1, noise figure Γ (n)=C of presetting error passback sensor noise, wherein C is that error returns noise
Sensor measures the noise figure of region, judges Γ (n) and [A (n)-Sj(n)T2]2Relationship, as [A (n)-Sj(n)T2]2>
When C, 13.2 are entered step, as [A (n)-Sj(n)T2]2When≤C, 13.4 are entered step；
Step 13.2, by w1(k) ..., wg(k) ..., wL(k) formula (IV) is substituted into respectively respectively obtain new w1
(k+1) ..., wg(k+1) ..., wL(k+1) L adaptive weighting coefficient, μ is convergence factor, is entered step
13.3,
W (k+1)=w (k)+[μ r (k) e (k)] formula (IV)；
Step 13.3, w is enabled1(k+1)=w1(k) ..., wg(k+1)=wg(k) ..., wL(k+1)=wL(k) divide
Not Wei filter weight vector, enter step eight；
Step 13.4, S is enabledj(n)=Sj' (n), enter step 14.
The value range of C of the invention is -0.001dB to 0.001dB.
Adaptive noise reduction control unit 23 of the invention can be persistently iterated, and it is whole to allow to adjust the weight of adaptive-filtering
The state that a system convergence tends towards stability.Such as: noise is acquired at noise source at 221 region of Noise Acquisition sensor
Signal, signal are transferred to 23 noise reduction of adaptive noise reduction control unit, then carry out calculating output signal drive the speaker 222, with
Eliminate the noise of 222 region of loudspeaker.Error passback sensor 232 can monitor the sound pressure level of 222 region of loudspeaker,
To which adaptive noise reduction control unit 23 debugs the weight of adaptive-filtering to change the amplitude of loudspeaker 222 automatically.
Adaptive algorithm of the present invention is using filtering X least mean square algorithm, and the benefit of filtering X least fibre method is not need
Inverse matrix is solved, optimal convergence solution can be had by being also not required to other precognition parameters, adaptive relative to the least mean square algorithm of standard
The feature for answering the algorithm of noise reduction control unit 23 main is using the signal processing method for resolving into multiple subbands and to combine filtering X
Least mean square algorithm can be needed a large amount of the problem of calculating with effective solution, strengthen the effect in three-dimensional space noise reduction.Simultaneously
Its calculation amount and the quantity of subband are inversely proportional, and then propose the stability for doing total system and restrain also faster.Furthermore it also strengthens
Influence of each transmission channels to algorithm.Another advantage of this algorithm is the doubt that can remove the delay of signal, is reinforced whole
Noise reduction effect is achieved in that in each subband and adaptive Weight algorithm is added by filtering X least fibre method, then passes through
Final weight coefficient is adjusted by bandpass filter 231.
In closing three-dimensional space, such as length is respectively the space of L, W, H, and N rank acoustic mode state function can indicate
For
Wherein, N1、N2And N3It is the glottis neoplasms serial number along rectangular co-ordinate X, Y, Z.In actual application, such as smoke machine wind
The three-dimensional space noise reduction system in road, the noise frequency domain distribution of smoke machine are broadband noise and some wind from 200Hz to 2000Hz
The line spectrum noise and vibrate caused noise that machine generates.
In the prior art, only it is absorbed in have and eliminates low order glottis neoplasms such as typically smaller than 500Hz or be less than 1000Hz actively
Noise reduction technology, but the noise frequency for having smoke machine at present includes greater than 1000Hz, the prior art will effectively reduce smoke machine
Noise power can no longer meet the noise reduction strategies on current smoke machine.For empty as where smoke machine air duct or exhausting component 12
Between surrounded or the mode of 222 sounding of amplitude and loudspeaker of Enclosed Sound Field and noise source mode that part surrounds in complete
Coefficient is actively and the two unknown numbers and space peripheral knot by the core technology of noise reduction for carrying out three-dimensional space noise reduction
The sound source characteristic close relation of structure, geometry and noise.So it is complete quickly and effectively to establish noise by equivalent source method
Figure information is ceased, that is, passes through the principle of interference recording noise source amplitude and phase of sound wave.Based on can efficiently and accurately make an uproar to space
Sound and free space noise radiation are estimated, acoustic field signal quickly can be accurately simulated, to eliminate making an uproar in smoke machine
The calculating of sound.The method, which can be adapted to, solves high-order glottis neoplasms, and the frequency domain of noise reduction can be improved to 2000Hz, solve existing active
Some frequency ranges are the problem of not accomplishing in noise reduction technology, and the limitation of noise within 1000Hz can only be dropped by breaching active noise reduction.
The kitchen ventilator noise-reduction method of the wavelet transformation noise reduction have the beneficial effect that a signal decomposition at each subband signal after, use
Convergence on quickening algorithm, because signal spectrum dynamic domain is greatly decreased relative to original signal on subband, meanwhile, calculation amount
Slip be it is directly proportional to number of sub-bands, therefore, the application will be used further to after signal decomposition filtering X least mean square algorithm in,
Compared with directly handling original signal in traditional active denoising method, the present invention can be improved active noise reduction and apply in three-dimensional space
Actual effect.
Embodiment 2.
A kind of kitchen ventilator of wavelet transformation noise reduction is provided with smoke machine main body 1 and for active noise reduction as shown in Fig. 3 to 11
Enclosed Sound Field denoising device 2, Enclosed Sound Field denoising device 2 is assemblied in inside smoke machine main body 1.
Smoke machine main body 1 is provided with the low resistance bellows 11 for reducing wideband vibration, and low resistance bellows 11 are assemblied in smoke machine
Inside main body 1.
Low resistance bellows 11 are provided with multiple bellows plates and noise filtering device 111, and it is one that multiple bellows plates, which are spliced,
A stereochemical structure, noise filtering device 111 are assemblied in the inner surface of bellows plate.
Smoke machine main body 1 is additionally provided with exhausting component 12, and exhausting component 12 is assemblied in inside low resistance bellows 11.
The exhausting component 12 of the present embodiment be located at by containing low resistance bellows 11 constitute at least there are two structural plane it is complete
The inside of open semi-surrounding structure, as shown in the D of the C and Figure 12 of Fig. 7, Figure 12.
Enclosed Sound Field denoising device 2 is provided with Enclosed Sound Field noise reduction unit 22 and adaptive noise reduction control unit
23, adaptive noise reduction control unit 23 is electrically connected with Enclosed Sound Field noise reduction unit 22, Enclosed Sound Field noise reduction unit 22
It is assemblied in smoke machine main body 1 respectively with adaptive noise reduction control unit 23.
Enclosed Sound Field noise reduction unit 22 is provided with Noise Acquisition sensor 221, loudspeaker 222 and acoustics resonant tank
223, loudspeaker 222 is installed on inside acoustic resonance case 223,223 fixing assembling of acoustic resonance case in the lower section of exhausting component 12,
Noise Acquisition sensor 221 is fixedly installed in exhausting component 12, Noise Acquisition sensor 221 and loudspeaker 222 respectively with it is adaptive
Noise reduction control unit 23 is answered to be electrically connected.
Adaptive noise reduction control unit 23 is set as bandpass filter 231, and bandpass filter 231 is assemblied in smoke machine main body 1
Inside, and Noise Acquisition sensor 221 and loudspeaker 222 are electrically connected with bandpass filter 231 respectively.
Loudspeaker 222 of the invention is used to receive the signal of adaptive noise reduction control unit 23 and generates with noise source
180 ° of reversed sound waves.Error passback sensor 232 is used to detect the performance of adaptive noise reduction control unit 23, adaptive noise reduction
The algorithm of control unit 23 carries out signal feedback to Enclosed Sound Field noise reduction unit 22.
Enclosed Sound Field noise reduction unit 22 is used to the signal of Noise Acquisition sensor 221 or error returning sensor
232 signal decomposition receives the wave frequency of the noise source of the transmission of Noise Acquisition sensor 221 and receives error and return at multiple subbands
The signal of sensor 232 is passed, operation is carried out and signal output is carried out to loudspeaker 222.
Exhausting component 12 is provided with wind wheel 121, spiral case 122 and for guiding air-flow to enter the pod of 121 two sides of wind wheel
123, pod 123 and wind wheel 121 are fixedly installed in spiral case 122, and wind wheel 121 is assemblied in inside spiral case 122, and spiral case 122 is fixed
It is assemblied in inside low resistance bellows 11.
Adaptive noise reduction control unit 23 is additionally provided with error passback sensor 232, and error returns the fixed peace of sensor 232
Loaded on the inside of smoke machine main body 1 and the lower section of low resistance bellows 11 that is located at, error returns sensor 232 and bandpass filter 231
Electrical connection.
Error passback sensor 232 is located at the lower section of loudspeaker 222.
Loudspeaker 222 and acoustics resonant tank 223 of the invention is both provided with K, loudspeaker 222 and acoustics resonant tank 223
It corresponds.223 fixing assembling of acoustic resonance case is in pod 123 and is suspended on the bottoms of low resistance bellows 11.Loudspeaker 222
The air inlet of cone or diaphragm towards smoke machine main body 1, it is and parallel with air inlet or at angle β, and β≤60 °.The present embodiment is raised
Sound device 222 and acoustics resonant tank 223 are specifically both configured to 2.
Noise Acquisition sensor 221 of the invention is provided with A, and A >=K, the Noise Acquisition sensor 221 of the present embodiment
It is specifically configured to 4.
Error passback sensor 232 of the invention is provided with Q, and Q is positive integer, Q >=1, the error passback of the present embodiment
Sensor 232 is specifically configured to 2.
Noise Acquisition sensor 221 is located at the top of loudspeaker 222, and bandpass filter 231 is provided with D, and D is positive whole
Number.The bandpass filter 231 of the present embodiment is set as 4.
It should be noted that loudspeaker 222 of the invention can be set to 2, promising any positive integer also can be set；It makes an uproar
Sound acquisition sensor 221 can be set to 4, also can be set it is promising be greater than 4 any positive integer；Error returns sensor
232 can be set to 2, and promising any positive integer also can be set；Bandpass filter 231 of the invention can be set to 4,
May be any positive integer, specific embodiment according to the actual situation depending on.
Noise filtering device 111 is low resistance noise filtering plate, and low resistance noise filtering plate, which is provided with, is distributed with multiple use
In the panel body and reinforcement structure 113 of eliminating noise through-hole 114, reinforcement structure 113 is fixed on panel body.Of the invention adds
Strong structure 113 is at least one of reinforcing rib, rivet, guide margin, fixed frame, groove or convex closure.Noise filtering device 111 is arranged
There is sound-absorbing part 112, sound-absorbing part 112 is assemblied between low resistance noise filtering plate and the wall surface of low resistance bellows 11.The present embodiment
Reinforced structure be reinforcing rib.
It should be noted that reinforced structure of the invention may be rivet, guide margin, fixed frame, groove or convex closure, it can also
A variety of any combination are thought, depending on specific embodiment is with actual conditions.
The effect of reinforced structure is to enhance the rigidity of low resistance noise filtering plate.
The principle of the present invention are as follows: the noise that kitchen ventilator generates is in the full encirclement structure for touching low resistance bellows 11 or half
When surrounding structure, propagating most incidence wave with opposite direction can interfere with back wave.Kitchen ventilator of the invention simultaneously is total
The principle of vibration carries out noise reduction, when the intrinsic frequency of noise and low resistance bellows 11 generates resonance, when resonance occurs, and the sound of oscillation
Wave can intensely pierce into out through-hole 114 back and forth in air, and the sound of noise can be converted to friction loss in the process, reach
Eliminate target frequency noise.
Noise signal is resolved into multiple subband signals, is converted to bandpass filtering by the kitchen ventilator of the wavelet transformation noise reduction
Device weight vector, then the conversion of obtained bandpass filter weight vector is generated into corresponding sound field of loudspeaker, and equal strength sound wave is believed
It number sends corresponding loudspeaker to, reduces or offset the sound of kitchen ventilator generation by the sound wave that corresponding loudspeaker generates
Wave realizes noise reduction.The kitchen ventilator is provided with smoke machine main body 1 and the Enclosed Sound Field denoising device 2 for active noise reduction, three-dimensional
Space sound field denoising device 2 is assemblied in inside smoke machine main body 1.Low resistance bellows 11 can make incidence wave and back wave with reflection
There is out of phase under the specific distance in face, so that the sound wave of noise can cancel out each other, to reduce the intensity of noise.Full packet
Closed structure or semi-surrounding structure can make the optimization for reaching smoke machine performance but be to complete work under the operating of low noise simultaneously
Make, solves noise and the conflicting technological difficulties of performance, under the premise of not sacrificing the performance of fume-exhausting of smoke machine, smoke machine operating
When the noise that issues it is relatively low and do not cause user in physiology and psychological negative effect.Last present invention design and optimization three
Specific installation site of the dimension space sound field denoising device 2 in smoke machine obtains most effective noise reduction effect and effective noise reduction
Spatial dimension.
Embodiment 3.
A kind of kitchen ventilator of wavelet transformation noise reduction, other features are same as Example 2, the difference is that: the present embodiment
The outer surfaces of low resistance bellows 11 be equipped with foamed cotton plate.
It should be noted that the outer surface of low resistance bellows 11 of the present invention can be equipped with foamed cotton plate, foam can also be assembled
Any one of plate or rubber slab.
The effect of foamed cotton plate, foamed cotton plate or rubber slab is for obstructing noise to external communication, to reduce noise water
It is flat.
Compared with Example 2, the noise reduction effect of the kitchen ventilator of the present embodiment is more preferable.
Embodiment 4.
A kind of kitchen ventilator of wavelet transformation noise reduction, other features are same as Example 2, the difference is that: the present embodiment
Exhausting component 12 be located at the inside of full encirclement structure formed by the strainer 115 and low resistance bellows 11 of air inlet, such as Figure 12
A and Figure 12 B shown in.
Compared with Example 2, the seamless full encirclement structure of the present embodiment can prevent sound wave direction external communication, more
Improve noise reduction effect well.
Embodiment 5.
A kind of kitchen ventilator of wavelet transformation noise reduction, 2 noise reduction frequency range of Enclosed Sound Field denoising device be 100Hz~
2000Hz。
The limitation of noise within 1000HZ, effective noise reduction to maximum 2000Hz can only be dropped by breaching prior art active noise reduction
Noise frequency domain.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than protects to the present invention
The limitation of range, although the invention is described in detail with reference to the preferred embodiments, those skilled in the art should be managed
Solution, can be with modifying or equivalently replacing the technical solution of the present invention, without departing from the essence and model of technical solution of the present invention
It encloses.
Claims (10)
1. a kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction, it is characterised in that: the following steps are included:
Step 1: determining and fixing A Noise Acquisition sensor, Q error returns the position of sensor and K loudspeaker；
Step 2: transmission function T of the determining initial noisc source to Noise Acquisition sensor1, loudspeaker to target noise damping space biography
Delivery function T2With the transmission function T of Noise Acquisition sensor to target noise damping space3；
Step 3, A Noise Acquisition sensor respectively in smoke machine in space collection region Noise Acquisition sensor
Signal, specially R1(n) ..., Ri(n) ..., RA(n), 4≤i≤A, i are positive integer,
Q error passback sensor noise collects the signal that the error respectively in region returns sensor, specially ε1
(n) ..., εv(n),......,εQ(n), 1≤v≤Q, v and Q are positive integer；
Step 4, by A Noise Acquisition sensor collection that step 1 obtains to Noise Acquisition sensor signal be converted into R
(n)=[R1(n)......Ri(n).......RA(n)] letter of error passback sensor after, Q Noise Acquisition sensor is corrected
Number it is converted into ε (n)=[ε1(n)......εv(n)......εQ(n)]；
The R (n) of step 4 is modified to by step 5 by formula (I)
Step 6, what D bandpass filter of three-dimensional space noise reduction control unit obtained step 5It is corresponding to be decomposed into L
Subband: r1(k) ..., rg(k) ..., rL(k), ε (n) correspondence that step 4 obtains is decomposed into L subband: e1
(k) ..., eg(k) ..., eL(k), L >=g >=2 and L and g are positive integer；
Step 7, the subband r that step 6 is obtained1(k) ..., rg(k) ..., rL(k) and e1(k) ..., eg
(k) ..., eL(k), via the adaptive weighting coefficient w for calculating L subband of filtering X lowest mean square1(k) ...,
wg(k) ..., wL(k), w (k) is K × A × D matrix, and r (k) is Q × (A × K × D), and e (k) is the matrix of Q × D；
Step 8, by L subband adaptive weighting coefficient w of D bandpass filter1(k) ..., wg(k) ..., wL
(k) it carries out fast wavelet transform and is transformed into L × Z frequency band, wherein Z is K × A × D matrix, and D is positive integer；
Step 9 is superimposed the L × Z frequency band that step 8 obtains to form unique A × K matrix signal frequency through the overfrequency addition method
Rate；
Step 9 is obtained A × K matrix signal frequency progress Fu Li column inverse conversion conversion and solves and obtain bandpass filter by step 10
Weight vector Wij(n), wherein 1≤j≤K, 4≤i≤A；
Step 10 is obtained bandpass filter weight vector W by step 11ij(n) conversion generates K sound field of loudspeaker, K loudspeaker
Sound field respectively corresponds as S1(n) ... .., Sj(n) ... .., SK(n), wherein 1≤j≤K, and according to by formula (II), pass through
Noise transducer collects initial noisc source Ri(n) with bandpass filter weight vector Wji(n) product is defeated to estimate jth loudspeaker
The final noise field S of signal outj(n),
Wherein,It is Wij(n) transposed matrix,It is Ri(n) pass through T2Transposed matrix after transmission function, Sj(n) it is
It is in 180 ° of reversed equal strength acoustic signals with noise source；
Step 12, by equal strength acoustic signals S1(n) ... .., Sj(n) ... .., SK(n) it respectively corresponds and sends K to and raise
Sound device；
Step 13, error return sensor detection effect, are iterated and correct adaptive weighting coefficient, met the requirements
Final adaptive weighting coefficient and obtain Sj' (n), enter step 14；
Step 14, with Sj' (n) be final equal strength acoustic signals correspondence send corresponding loudspeaker to.
2. a kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction according to claim 1, it is characterised in that: pass through formula
(III) cost function of full band is indicated with the mean square deviation of error sensor signals to supervise the performance of three-dimensional noise reduction model,
Wherein, n is the iteration index by adaptive algorithm；
It is describedWherein ε (n)=A (n)+Sj(n)·T2, wherein A (n) is initial noisc source inside smoke machine
The final noise field formed after the transmitting of space.
3. a kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction according to claim 2, it is characterised in that: the step
13 have specifically included,
Step 13.1, noise figure Γ (n)=C of presetting error passback sensor noise, wherein C is that error returns noise sensing
Device measures the noise figure of region, judges Γ (n) and [A (n)-Sj(n)T2]2Relationship, as [A (n)-Sj(n)T2]2When > C,
13.2 are entered step, as [A (n)-Sj(n)T2]2When≤C, 13.4 are entered step；
Step 13.2, by w1(k) ..., wg(k) ..., wL(k) formula (IV) is substituted into respectively respectively obtain new w1(k+
1) ..., wg(k+1) ..., wL(k+1) L adaptive weighting coefficient, μ is convergence factor, enters step 13.3,
W (k+1)=w (k)+[μ r (k) e (k)] formula (IV)；
Step 13.3, w is enabled1(k+1)=w1(k) ..., wg(k+1)=wg(k) ..., wL(k+1)=wL(k) it is respectively
Filter weight vector, enters step eight；
Step 13.4, S is enabledj(n)=Sj' (n), enter step 14.
4. a kind of kitchen ventilator noise-reduction method of wavelet transformation noise reduction according to claim 3, it is characterised in that: the C value
Range be -0.001dB to 0.001dB.
5. a kind of kitchen ventilator of wavelet transformation noise reduction, it is characterised in that: the kitchen ventilator of noise-reduction method as claimed in claim 4, if
It is equipped with smoke machine main body and the Enclosed Sound Field denoising device for active noise reduction, Enclosed Sound Field denoising device is assemblied in cigarette
Machine body interior；
The smoke machine main body is provided with the low resistance bellows for reducing wideband vibration, and low resistance bellows are assemblied in smoke machine main body
Portion；
The low resistance bellows are provided with multiple bellows plates and noise filtering device, and multiple bellows plate splicings become a three-dimensional knot
Structure, noise filtering device are assemblied in the inner surface of bellows plate.
6. a kind of kitchen ventilator of wavelet transformation noise reduction according to claim 5, it is characterised in that: the smoke machine main body is also set
It is equipped with exhausting component, exhausting component is assemblied in low resistance inner bellows；
The exhausting component is located at the inside of the full encirclement structure formed by the strainer and low resistance bellows of air inlet；Or
The exhausting component be located at by containing low resistance bellows constitute at least there are two the completely open semi-surrounding knot of structural plane
The inside of structure.
7. a kind of kitchen ventilator of wavelet transformation noise reduction according to claim 6, it is characterised in that: the Enclosed Sound Field
Denoising device is provided with Enclosed Sound Field noise reduction unit and adaptive noise reduction control unit, adaptive noise reduction control unit and three
The electrical connection of dimension space sound field noise reduction unit, Enclosed Sound Field noise reduction unit and adaptive noise reduction control unit are assemblied in cigarette respectively
Owner's body；
The Enclosed Sound Field noise reduction unit is provided with Noise Acquisition sensor, loudspeaker and acoustics resonant tank, loudspeaker peace
Inside acoustic resonance case, acoustic resonance case fixing assembling is fixedly mounted in the lower section of exhausting component, Noise Acquisition sensor
In exhausting component, Noise Acquisition sensor and loudspeaker are electrically connected with adaptive noise reduction control unit respectively.
8. a kind of kitchen ventilator of wavelet transformation noise reduction according to claim 7, it is characterised in that: the adaptive noise reduction control
Unit processed is set as bandpass filter, and bandpass filter is assemblied in smoke machine body interior, and Noise Acquisition sensor and loudspeaker
It is electrically connected respectively with bandpass filter；
The exhausting component is provided with wind wheel, spiral case and for guiding air-flow to enter the pod of wind wheel two sides, pod and wind
Wheel is fixedly installed in spiral case, and wind wheel is assemblied in inside spiral case, and spiral case fixing assembling is in low resistance inner bellows.
9. a kind of kitchen ventilator of wavelet transformation noise reduction according to claim 8, it is characterised in that: the adaptive noise reduction control
Unit processed is additionally provided with error passback sensor, the low-resistance that error passback sensor is fixedly installed in smoke machine body interior and is located at
The lower section of Buddhist nun's bellows, error passback sensor are electrically connected with bandpass filter；
The error passback sensor is located at the lower section of loudspeaker.
10. a kind of kitchen ventilator of wavelet transformation noise reduction according to claim 9, it is characterised in that: the loudspeaker harmony
It learns resonant tank and is both provided with K, loudspeaker and acoustics resonant tank correspond；
The acoustic resonance case fixing assembling is in pod and is suspended on the bottoms of low resistance bellows；
The cone or diaphragm of the loudspeaker are and parallel with air inlet or at angle β towards the air inlet of smoke machine main body, and β≤
60°；
The A Noise Acquisition sensor is fixed on pod, and A >=K；
The Noise Acquisition sensor is located at the top of loudspeaker；
The noise filtering device is low resistance noise filtering plate；
The low resistance noise filtering plate, which is provided with, is distributed with multiple panel bodies and reinforcement structure for being used to eliminate noise through-hole,
Reinforcement structure is fixed on panel body；
The reinforcement structure is at least one of reinforcing rib, rivet, guide margin, fixed frame, groove or convex closure；
The noise filtering device is provided with sound-absorbing part, and sound-absorbing part is assemblied in the wall of low resistance noise filtering plate Yu low resistance bellows
Between face；
The outer surface of the low resistance bellows is equipped with foamed cotton plate, asphalt plank or rubber slab；
The Enclosed Sound Field denoising device noise reduction frequency range is 100Hz~2000Hz.
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| CN201810772839.5A Active CN108731073B (en) | 2018-03-08 | 2018-07-14 | Lampblack absorber with lampblack separation device and noise reduction method |
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| CN201810772857.3A Active CN108916946B (en) | 2018-03-08 | 2018-07-14 | Range hood with noise reduction device and air draft assembly linked and noise reduction method |
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| CN201810781599.5A Active CN108954444B (en) | 2018-03-08 | 2018-07-14 | Range hood capable of reducing noise through Hilbert-Huang transform and noise reduction method |
| CN201810772874.7A Active CN108954438B (en) | 2018-03-08 | 2018-07-14 | Range hood with three-dimensional space sound field noise reduction device and noise reduction method |
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| CN201810772863.9A Active CN108916951B (en) | 2018-03-08 | 2018-07-14 | Range hood with three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810772857.3A Active CN108916946B (en) | 2018-03-08 | 2018-07-14 | Range hood with noise reduction device and air draft assembly linked and noise reduction method |
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| CN201810772862.4A Active CN108916950B (en) | 2018-03-08 | 2018-07-14 | Low-damping fully-enclosed three-dimensional space sound field noise reduction range hood and noise reduction method |
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