CN108916950A - A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance and noise-reduction method - Google Patents
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance and noise-reduction method Download PDFInfo
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- 239000004417 polycarbonate Substances 0.000 claims description 3
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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
-
- 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
-
- 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
Abstract
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance and noise-reduction method, are provided with smoke machine main body and Enclosed Sound Field denoising device, Enclosed Sound Field denoising device is assemblied in smoke machine body interior.The structure of being surrounded entirely by low resistance of the kitchen ventilator makes incidence wave meeting and back wave have out of phase under the specific distance with reflecting surface, so that the sound wave of noise can cancel out each other, to reduce the intensity of noise.Of the invention simultaneously is provided with Enclosed Sound Field noise reduction unit and self-adaptation three-dimensional spatial noise reduction control unit, it works under the optimization that low noise guarantees smoke machine performance 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, obtains the spatial dimension of most effective noise reduction effect and effective noise reduction.
Description
Technical field
The present invention relates to kitchen ventilator field, in particular to a kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance
And noise-reduction method.
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, providing a kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance has
And noise-reduction method is very necessary to solve prior art deficiency.
Summary of the invention
One of present invention purpose is to avoid in place of the deficiencies in the prior art and provides a kind of low resistance and surround entirely
Formula Enclosed Sound Field noise reduction kitchen ventilator.The Performance optimization of the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of the low resistance but
It is simultaneously to complete work under the operating of low noise, solves noise and the conflicting technological difficulties of performance.
Above-mentioned purpose of the invention is realized by following technological means.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance is provided, smoke machine main body and three-dimensional space are provided with
Sound field denoising device, Enclosed Sound Field denoising device are assemblied 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 exhausting component of the smoke machine main body is assemblied in the full encirclement knot formed by the strainer and low resistance bellows of air inlet
Inside structure.
Preferably, the stereochemical structure that above-mentioned low resistance bellows are spliced by multiple bellows plates.
Noise signal is resolved into multiple subband signals by the kitchen ventilator, is converted to bandpass filter weight vector, then incite somebody to action
The bandpass filter weight vector conversion arrived generates corresponding sound field of loudspeaker, and sends equal strength acoustic signals to corresponding raise
Sound device is reduced or is offset the noise sound wave of kitchen ventilator generation by the sound wave that corresponding loudspeaker generates, and realizes noise reduction.
Preferably, above-mentioned bellows plate is metal plate bellows plate.
It is further preferred that above-mentioned metal plate bellows plate is stainless steel bellows plate or aluminium alloy bellows plate.
Another preferred, above-mentioned bellows plate is polymer bellows plate.
It is further preferred that above-mentioned polymer bellows plate is polypropylene bellows plate, polycarbonate bellows plate, plastics glass wind
Boxboard, rubber bellows plate or foam bellows plate.
Preferably, above-mentioned bellows plate with a thickness of 0.5~5mm.
Preferably, above-mentioned smoke machine main body is additionally provided with noise filtering device, and noise filtering device is assemblied in the interior of bellows plate
Surface.
Preferably, above-mentioned Enclosed Sound Field denoising device is provided with Enclosed Sound Field noise reduction unit and self-adaptation three-dimensional
Spatial noise reduction control unit, self-adaptation three-dimensional spatial noise reduction control unit are electrically connected with Enclosed Sound Field noise reduction unit, three-dimensional
Space sound field noise reduction unit and self-adaptation three-dimensional spatial noise reduction control unit are assemblied in smoke machine main body respectively.
Preferably, above-mentioned exhausting component is assemblied in low resistance inner bellows.
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 K >=1, K are positive integer, loudspeaker harmony
Resonant tank is learned to 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 Noise Acquisition sensor is fixed on pod, and Noise Acquisition sensor is provided with A, A >=4, A
For positive integer, and A >=K.
Preferably, above-mentioned error passback sensor is provided with Q, and Q is positive integer, Q >=1.
Preferably, above-mentioned Noise Acquisition sensor is located at the top of loudspeaker.
Preferably, above-mentioned bandpass filter is provided with D, and D is positive integer.
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, above-mentioned Enclosed Sound Field denoising device noise reduction frequency range is 100Hz~2000Hz.
A kind of noise-reduction method of the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, includes the following steps：
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) quick Fu Li column transitions are carried out into L × Z frequency band, wherein Z is K × A × D matrix；
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.
Another goal of the invention of the invention is to provide the drop of the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of kind of low resistance
Method for de-noising is carried out by the noise-reduction method of above-mentioned characteristic.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance of the invention, is provided with smoke machine main body and three-dimensional
Space sound field denoising device, Enclosed Sound Field denoising device are assemblied in smoke machine body interior.The smoke machine main body setting is useful
In the low resistance bellows for reducing wideband vibration, low resistance bellows are assemblied in smoke machine body interior.The exhausting group of the smoke machine main body
Part is assemblied in the full encirclement inside configuration formed by the strainer and low resistance bellows of air inlet.Full structure of surrounding can make to reach cigarette
Machine performance optimizes but is to complete work under the operating of low noise simultaneously, solves noise and the conflicting technology of performance is difficult
Point, 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 to exist
Physiology and psychological negative effect.The kitchen ventilator surrounded entirely by low resistance structure make incidence wave can and back wave with it is anti-
Penetrating under the specific distance in face has out of phase, so that the sound wave of noise can cancel out each other, to reduce the intensity of noise.Together
When specific installation site in smoke machine of present invention design and optimization Enclosed Sound Field denoising device, obtain most effective noise reduction
The spatial dimension of effect and effective noise reduction.Furthermore a kind of full enclosed Enclosed Sound Field noise reduction oil smoke of low resistance of the invention
The noise-reduction method of machine, main feature are the signal processing method and filter joint lowest mean square (F- using multiple subbands
XLMS) algorithm can effectively reduce a large amount of calculating, improve the effect of three-dimensional space noise reduction.Meanwhile calculation amount and subband
Quantity be inversely proportional, therefore be capable of the stability of consolidation system, and being capable of fast convergence.Another advantage of this method is can
The delay for removing signal, improves whole noise reduction effect.
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 a kind of structure perspective of full enclosed Enclosed Sound Field noise reduction kitchen ventilator embodiment 1 of low resistance of the present invention
Figure.
Fig. 2 is the side view of Fig. 1.
Fig. 3 is the local perspective view in Fig. 1.
Fig. 4 is the decomposition diagram of Fig. 3.
Fig. 5 is the perspective diagram of low resistance bellows.
Fig. 6 is noise filtering apparatus structure schematic diagram.
Fig. 7 is low resistance bellows top view.
Fig. 8 is low resistance bellows main view.
Fig. 9 is loudspeaker and air inlet angle schematic diagram.
Figure 10 is the structural schematic diagram of low resistance bellows, and A is full encirclement structure in Figure 10, and B is that A is another in Figure 10 in Figure 10
One angle.
Figure 11 is the signal flow schematic diagram of de-noising signal processing method of the present invention.
Figure 12 is the schematic diagram that bandpass filter returns sensor processing to Noise Acquisition sensor signal and error.
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 full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance is provided with smoke machine main body as shown in Fig. 1 to 10
1 and Enclosed Sound Field denoising device 2, Enclosed Sound Field denoising device 2 be assemblied in inside smoke machine main body 1.Smoke machine main body 1 is set
The low resistance bellows 11 for reducing wideband vibration are equipped with, low resistance bellows 11 are assemblied in inside smoke machine main body 1.Smoke machine main body 1
Exhausting component 12 be assemblied in the full encirclement inside configuration formed by the strainer 115 and low resistance bellows 11 of air inlet.
Full structure of surrounding 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.
The stereochemical structure that low resistance bellows 11 are spliced by multiple bellows plates.The kitchen ventilator decomposes noise signal
At multiple subband signals, it is converted to bandpass filter weight vector, then obtained bandpass filter weight vector is converted into generation pair
The sound field of loudspeaker answered, and send equal strength acoustic signals to corresponding loudspeaker, the sound generated by corresponding loudspeaker
Wave reduces or offsets the noise sound wave of kitchen ventilator generation, realizes noise reduction.
The bellows plate of the present embodiment is polymer bellows plate；Polymer bellows plate is preferably polypropylene bellows plate.
It should be noted that polymer bellows plate of the invention can be polypropylene bellows plate, or polycarbonate wind
Boxboard, plastics glass bellows plate, rubber bellows plate or foam bellows plate, specific embodiment according to the actual situation depending on.
Bellows plate of the present invention with a thickness of 0.5~5mm, the thickness of specific bellows plate is preferably 0.6~1.5mm.Because
Noise reduction effect within the scope of 0.6~1.5mm preferably can be reduced the weight of low resistance bellows 11 again simultaneously.
It should be noted that the thickness of bellows plate of the invention can be 0.6~1.5mm, it can also be any of 0.5~5mm
Value, specific embodiment according to the actual situation depending on.
Smoke machine main body 1 of the invention is additionally provided with noise filtering device 111, and noise filtering device 111 is assemblied in bellows plate
Inner surface.
Enclosed Sound Field denoising device 2 is provided with Enclosed Sound Field noise reduction unit 22 and self-adaptation three-dimensional spatial noise reduction
Control unit, self-adaptation three-dimensional spatial noise reduction control unit are electrically connected with Enclosed Sound Field noise reduction unit 22, three-dimensional space sound
Field noise reduction unit 22 and self-adaptation three-dimensional spatial noise reduction control unit are assemblied in smoke machine main body 1 respectively.
Exhausting component 12 is assemblied in inside low resistance bellows 11.
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.
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 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.
Loudspeaker 222 and acoustics resonant tank 223 of the invention is both provided with K, and K >=1, K are positive integer, loudspeaker
222 and acoustics resonant tank 223 correspond.223 fixing assembling of acoustic resonance case is in pod 123 and is suspended on low resistance bellows
11 bottom.The cone or diaphragm of loudspeaker 222 are and parallel with air inlet or at angle β towards the air inlet of smoke machine main body 1,
And β≤60 °.The present embodiment loudspeaker 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 >=4, A are positive integer, and A >=K, the present embodiment are made an uproar
Sound acquisition sensor 221 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 is：Kitchen ventilator generate noise in the full encirclement structure for touching low resistance bellows 11, with
Opposite direction is propagated most incidence wave and can be interfered with back wave.The principle of kitchen ventilator resonance of the invention simultaneously is dropped
It makes an uproar, when the intrinsic frequency of noise and low resistance bellows 11 generates resonance, when resonance occurs, the sound wave of oscillation can swash in air
Pierce into out through-hole 114 back and forth strongly, the sound of noise can be converted to friction loss in the process, reach elimination target frequency and make an uproar
Sound.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, is provided with smoke machine main body 1 and three-dimensional space sound
Field denoising device 2, Enclosed Sound Field denoising device 2 are assemblied in inside smoke machine main body 1.The smoke machine main body 1, which is provided with, to be used for
The low resistance bellows 11 of wideband vibration are reduced, low resistance bellows 11 are assemblied in inside smoke machine main body 1.The pumping of the smoke machine main body 1
Wind component 12, which is assemblied in, forms full encirclement inside configuration by the strainer and low resistance bellows 11 of air inlet.Full structure of surrounding can make
Reach the optimization of smoke machine performance but be to complete work under the operating of low noise simultaneously, solves noise and performance is conflicting
Technological difficulties, 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 is in physiology and psychological negative effect.The structure of being surrounded entirely by low resistance of the kitchen ventilator makes incidence wave meeting and back wave
There is out of phase under the specific distance with reflecting surface, so that the sound wave of noise can cancel out each other, to reduce noise
Intensity.The specific installation site of present invention design simultaneously and optimization Enclosed Sound Field denoising device 2 in smoke machine, is most had
The spatial dimension of the noise reduction effect of effect and effective noise reduction.Furthermore a kind of full enclosed Enclosed Sound Field of low resistance of the invention
The noise-reduction method of noise reduction kitchen ventilator, main feature are minimum using the signal processing method and filter joint of multiple subbands
Side's (F-XLMS) algorithm, can effectively reduce a large amount of calculating, improve the effect of three-dimensional space noise reduction.Meanwhile calculation amount
It is inversely proportional with the quantity of subband, therefore is capable of the stability of consolidation system, and being capable of fast convergence.Another advantage of this method
It is the delay that can remove signal, improves whole noise reduction effect.
Embodiment 2.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, other features are same as Example 1, difference
Be in：The outer surface of the low resistance bellows 11 of the present embodiment is 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 1, the noise reduction effect of the kitchen ventilator of the present embodiment is more preferable.
Embodiment 3.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, Enclosed Sound Field denoising device 2 noise reduction frequency
Rate range is 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.
Embodiment 4.
A kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, noise-reduction method, as depicted in figs. 11-12, including
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) quick Fu Li column transitions are carried out into L × Z frequency band, wherein Z is K × A × D matrix；
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 used in the mode shape coefficients of the full Enclosed Sound Field for surrounding structure and 222 sounding of amplitude and loudspeaker of noise source mode
It is actively and the two unknown numbers and space peripheral structure, geometry by the core technology of noise reduction in carrying out three-dimensional space noise reduction
The sound source characteristic close relation of shape and noise.So quickly and effectively establishing noise hologram letter by equivalent source method
Breath passes through the principle of interference recording noise source amplitude and phase of sound wave.Based on can efficiently and accurately to spatial noise and from
It is estimated by spatial noise radiation, acoustic field signal quickly can be accurately simulated, to eliminate the meter of the noise in smoke machine
It calculates.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 noise reduction skill
Some frequency ranges are the problem of not accomplishing in art, and the limitation of noise within 1000Hz can only be dropped by breaching active noise reduction.
The noise-reduction method of the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of the low resistance has the beneficial effect that signal point
After solution is at each subband signal, for accelerating the convergence on algorithm, because signal spectrum dynamic domain is relative to original signal on subband
Be greatly decreased, meanwhile, the slip of calculation amount be it is directly proportional to number of sub-bands, therefore, the application will be used further to after signal decomposition
It filters in X least mean square algorithm, compared with directly handling original signal in traditional active denoising method, the present invention be can be improved actively
The actual effect that noise reduction is applied in three-dimensional space.
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 (11)
1. a kind of full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, it is characterised in that：It is provided with smoke machine main body and three
Dimension space sound field denoising device, Enclosed Sound Field denoising device are assemblied 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 main body
Portion；
The exhausting component of the smoke machine main body is assemblied in the full encirclement structure formed by the strainer and low resistance bellows of air inlet
Portion.
2. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 1, it is characterised in that：
The stereochemical structure that the low resistance bellows are spliced by multiple bellows plates；
Noise signal is resolved into multiple subband signals, is converted to bandpass filter weight vector, then the bandpass filtering that will be obtained
The conversion of device weight vector generates corresponding sound field of loudspeaker, and sends equal strength acoustic signals to corresponding loudspeaker, by right
The sound wave that the loudspeaker answered generates reduces or offsets the noise sound wave of kitchen ventilator generation, realizes noise reduction.
3. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 2, it is characterised in that：
The bellows plate is metal plate bellows plate；
The metal plate bellows plate is stainless steel bellows plate or aluminium alloy bellows plate.
4. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 2, it is characterised in that：
The bellows plate is polymer bellows plate；
The polymer bellows plate be polypropylene bellows plate, polycarbonate bellows plate, plastics glass bellows plate, rubber bellows plate or
Person's foam bellows plate.
5. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 3 or 4, feature exist
In：The bellows plate with a thickness of 0.5~5mm.
6. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 5, it is characterised in that：
The smoke machine main body is additionally provided with noise filtering device, and noise filtering device is assemblied in the inner surface of bellows plate；
The Enclosed Sound Field denoising device is provided with Enclosed Sound Field noise reduction unit and self-adaptation three-dimensional spatial noise reduction control
Unit processed, self-adaptation three-dimensional spatial noise reduction control unit are electrically connected with Enclosed Sound Field noise reduction unit, Enclosed Sound Field drop
It makes an uproar unit and self-adaptation three-dimensional spatial noise reduction control unit is assemblied in smoke machine main body respectively.
7. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 6, it is characterised in that：
The exhausting component is assemblied in low resistance inner bellows；
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；
The adaptive noise reduction control unit is set as bandpass filter, and bandpass filter is assemblied in smoke machine body interior, and makes an uproar
Sound acquisition sensor and loudspeaker are electrically connected with bandpass filter respectively；
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.
8. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 7, it is characterised in that：
The adaptive noise reduction control unit is additionally provided with error passback sensor, and error passback sensor is fixedly installed in smoke machine main body
Inside and the lower section for the low resistance bellows being located at, error passback sensor are electrically connected with bandpass filter；
The error passback sensor is located at the lower section of loudspeaker.
9. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 8, it is characterised in that：
The loudspeaker and acoustics resonant tank are both provided with K, and K >=1, K are positive integer, and loudspeaker and acoustics resonant tank one are a pair of
It answers；
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 Noise Acquisition sensor is fixed on pod, and Noise Acquisition sensor is provided with A, and A >=4, A are positive integer, and A
≥K；
The error passback sensor is provided with Q, and Q is positive integer, Q >=1；
The Noise Acquisition sensor is located at the top of loudspeaker；
The bandpass filter is provided with D, and D is positive integer；
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 Enclosed Sound Field denoising device noise reduction frequency range is 100Hz~2000Hz.
10. the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of a kind of low resistance according to claim 9, feature exist
In：Noise-reduction method includes the following steps：
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) quick Fu Li column transitions are carried out into L × Z frequency band, wherein Z is K × A × D matrix；
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；
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 model
Performance,
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；
The 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 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；
The range of the C value is -0.001dB to 0.001dB.
11. a kind of noise-reduction method of the full enclosed Enclosed Sound Field noise reduction kitchen ventilator of low resistance, it is characterised in that：Pass through right
It is required that the noise-reduction method in 10 any one carries out.
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|---|---|---|---|
| CN201810191914 | 2018-03-08 | ||
| CN2018101919149 | 2018-03-08 |
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| CN201810772881.7A Active CN108916953B (en) | 2018-03-08 | 2018-07-14 | Range hood with Hilbert transform noise reduction function and noise reduction method |
| CN201810772858.8A Active CN108916947B (en) | 2018-03-08 | 2018-07-14 | Range hood with oil-proof 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 |
| 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 |
| CN201810772856.9A Active CN108916945B (en) | 2018-03-08 | 2018-07-14 | Range hood with lower three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810772871.3A Active CN108916952B (en) | 2018-03-08 | 2018-07-14 | Range hood with three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810781598.0A Active CN108954443B (en) | 2018-03-08 | 2018-07-14 | Range hood with active and passive noise reduction devices and noise reduction method |
| CN201810772845.0A Active CN108916940B (en) | 2018-03-08 | 2018-07-14 | Intelligent range hood and noise reduction method |
| 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 |
| CN201810776758.2A Active CN108954442B (en) | 2018-03-08 | 2018-07-14 | Range hood with noise reduction device and noise reduction method |
| CN201810772855.4A Active CN108916944B (en) | 2018-03-08 | 2018-07-14 | Range hood with noise reduction and visual detection functions and noise reduction method |
| CN201810772840.8A Active CN108954434B (en) | 2018-03-08 | 2018-07-14 | Range hood with wavelet transformation noise reduction function and noise reduction method |
| CN201810776710.1A Active CN108954440B (en) | 2018-03-08 | 2018-07-14 | Range hood with division-measuring-type three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810772854.XA Active CN108916943B (en) | 2018-03-08 | 2018-07-14 | Range hood with gesture control visual detection function and noise reduction method |
| CN201810772851.6A Active CN108916941B (en) | 2018-03-08 | 2018-07-14 | Range hood with detachable three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810772860.5A Active CN108916949B (en) | 2018-03-08 | 2018-07-14 | Low-damping semi-enclosed three-dimensional space sound field noise reduction range hood and noise reduction method |
| 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 |
| CN201810772839.5A Active CN108731073B (en) | 2018-03-08 | 2018-07-14 | Lampblack absorber with lampblack separation device and noise reduction method |
| 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 |
| CN201810772853.5A Active CN109340842B (en) | 2018-03-08 | 2018-07-14 | Oblique range hood with iterative upgrade function and noise reduction method |
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| CN201810772859.2A Active CN108916948B (en) | 2018-03-08 | 2018-07-14 | Active noise reduction range hood and noise reduction method |
| CN201810772881.7A Active CN108916953B (en) | 2018-03-08 | 2018-07-14 | Range hood with Hilbert transform noise reduction function and noise reduction method |
| CN201810772858.8A Active CN108916947B (en) | 2018-03-08 | 2018-07-14 | Range hood with oil-proof 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 |
| 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 |
| CN201810772856.9A Active CN108916945B (en) | 2018-03-08 | 2018-07-14 | Range hood with lower three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810772871.3A Active CN108916952B (en) | 2018-03-08 | 2018-07-14 | Range hood with three-dimensional space sound field noise reduction device and noise reduction method |
| CN201810781598.0A Active CN108954443B (en) | 2018-03-08 | 2018-07-14 | Range hood with active and passive noise reduction devices and noise reduction method |
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