CN108916944A - A kind of kitchen ventilator and noise-reduction method with noise reduction and vision-based detection function - Google Patents
A kind of kitchen ventilator and noise-reduction method with noise reduction and vision-based detection function Download PDFInfo
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- CN108916944A CN108916944A CN201810772855.4A CN201810772855A CN108916944A CN 108916944 A CN108916944 A CN 108916944A CN 201810772855 A CN201810772855 A CN 201810772855A CN 108916944 A CN108916944 A CN 108916944A
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- 230000009467 reduction Effects 0.000 title claims abstract description 137
- 238000001514 detection method Methods 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000000779 smoke Substances 0.000 claims abstract description 135
- 230000000694 effects Effects 0.000 claims abstract description 17
- 238000006243 chemical reaction Methods 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 230000003044 adaptive effect Effects 0.000 claims description 46
- 238000001914 filtration Methods 0.000 claims description 35
- 239000011159 matrix material Substances 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 18
- 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
- 230000007704 transition Effects 0.000 claims description 3
- 239000010426 asphalt Substances 0.000 claims description 2
- 230000035479 physiological effects, processes and functions Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 201000004960 glottis neoplasm Diseases 0.000 description 5
- 238000000354 decomposition reaction Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
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- 238000009434 installation Methods 0.000 description 2
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- 230000001046 anti-mould Effects 0.000 description 1
- 239000002546 antimould Substances 0.000 description 1
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- 235000019504 cigarettes Nutrition 0.000 description 1
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- 235000013399 edible fruits Nutrition 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
-
- 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
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Abstract
A kind of kitchen ventilator and noise-reduction method with noise reduction and vision-based detection function, it is provided with smoke machine main body, Enclosed Sound Field denoising device and vision detection system for active noise reduction, vision detection system for monitoring smoke condition is assemblied in smoke machine main body, and Enclosed Sound Field denoising device is assemblied in smoke machine body interior.Noise signal is resolved into multiple subband signals by kitchen ventilator of the invention, 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 solves noise and the conflicting technological difficulties of performance, and 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 kitchen ventilator with noise reduction and vision-based detection function and noise reduction side
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 kitchen ventilator and noise-reduction method with noise reduction and vision-based detection function
It is very necessary to solve prior art deficiency.
Summary of the invention
One of purpose of the invention is to avoid in place of the deficiencies in the prior art and provides a kind of band noise reduction and vision
The kitchen ventilator of detection function.The kitchen ventilator with noise reduction and vision-based detection function reaches cigarette by Enclosed Sound Field denoising device
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.
Above-mentioned purpose of the invention is realized by following technological means.
A kind of kitchen ventilator with noise reduction and vision-based detection function is provided, is provided with smoke machine main body, for the three of active noise reduction
Dimension space sound field denoising device and vision detection system for monitoring smoke condition, vision detection system are assemblied in smoke machine master
Body, Enclosed Sound Field denoising device are assemblied in smoke machine body interior.
Vision detection system and Enclosed Sound Field denoising device are electrically connected with the smoke machine mainboard of smoke machine main body respectively.
Preferably, above-mentioned smoke machine mainboard and the linkage of vision detection system and Enclosed Sound Field denoising device start.
Another preferred, above-mentioned vision detection system and Enclosed Sound Field denoising device independently start.
Preferably, above-mentioned vision detection system be provided with infrared light compensating apparatus, camera apparatus, relay, main control chip and
Anti-blur eyeglass, infrared light compensating apparatus, camera apparatus and relay are electrically connected with main control chip respectively, main control chip and smoke machine master
Plate electrical connection, infrared light compensating apparatus and camera apparatus are assemblied in the outside of smoke machine main body towards stove respectively, and anti-blur eyeglass fills
Outer surface assigned in camera apparatus.
Camera apparatus obtains the external stove region smog image information of current smoke machine main body and is transmitted to main control chip, main
Control chip determines the target area of present image by detection algorithm and determines that current smokescope grade obtains processing signal, main
Processing signal is transmitted to smoke machine mainboard again by control chip, and smoke machine mainboard adjusts the revolving speed of exhausting component or is assemblied in smoke machine main body
Cowling panel collapsing length.
Gear number is adjusted indication signal to smoke machine mainboard or processing signal feeds back to Enclosed Sound Field denoising device, three-dimensional space
Between sound field denoising device adjust noise reduction strategies.
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 electrically connected with smoke machine mainboard, Enclosed Sound Field noise reduction unit and adaptive noise reduction control unit are assemblied in smoke machine main body respectively.
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 made an uproar in the lower section of the exhausting component of smoke machine main body
Sound acquisition sensor is fixedly installed in exhausting component, Noise Acquisition sensor and loudspeaker respectively with adaptive noise reduction control unit
Electrical connection.
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.
Bandpass filter receives the processing signal of smoke machine mainboard and starts noise reduction.
Preferably, above-mentioned smoke machine main body is provided with the low resistance bellows for reducing wideband vibration, the assembly of low resistance bellows
In smoke machine body interior.
Preferably, above-mentioned low resistance bellows are provided with multiple bellows plates and noise filtering device, and multiple bellows plates are spliced into
For a stereochemical structure, noise filtering device is assemblied in the inner surface of bellows plate.
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 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, wind
Wheel is electrically connected with smoke machine mainboard.
Noise signal is resolved into multiple subband signals by kitchen ventilator of the invention, 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 equal strength acoustic signals are sent to pair
The loudspeaker answered is reduced or is offset the noise sound wave of kitchen ventilator generation by the sound wave that corresponding loudspeaker generates, and realizes drop
It makes an uproar.
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, 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 noise-reduction method of kitchen ventilator of the present invention, 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 a kind of noise-reduction method of kitchen ventilator with noise reduction and vision-based detection function,
It is carried out by noise-reduction method among the above.
A kind of kitchen ventilator with noise reduction and vision-based detection function of the invention is provided with smoke machine main body, for active noise reduction
Enclosed Sound Field denoising device and vision detection system, the vision detection system for monitoring smoke condition is assemblied in smoke machine
Main body, Enclosed Sound Field denoising device are assemblied in smoke machine body interior.Vision detection system and Enclosed Sound Field noise reduction dress
It sets and is electrically connected respectively with the smoke machine mainboard of smoke machine main body.Smoke machine mainboard receives vision detection system processing signal and is converted into instruction
Signal, and processing signal is transmitted to Enclosed Sound Field denoising device.Kitchen ventilator of the invention resolves into noise signal more
A subband signal is converted to bandpass filter weight vector, then the conversion generation of obtained bandpass filter weight vector is corresponding
Sound field of loudspeaker, and send equal strength acoustic signals to corresponding loudspeaker, it is supported by the sound wave that corresponding loudspeaker generates
Subtract or offset the noise sound wave of kitchen ventilator generation, realizes noise reduction.The kitchen ventilator is provided with smoke machine main body and for active noise reduction
Enclosed Sound Field denoising device, Enclosed Sound Field denoising device is assemblied in smoke machine body interior.Low resistance of the invention
Bellows can make incidence wave and back wave have out of phase under the specific distance with reflecting surface, so that the sound wave of noise can be with
It cancels out each other, to reduce the intensity of noise.The full structure or semi-surrounding structure of surrounding can make to reach the optimal of smoke machine performance
Change but be to complete work under the operating of low noise simultaneously, solves noise and the conflicting technological difficulties of performance, do not sacrificing
Under the premise of the performance of the fume-exhausting of smoke machine, the noise that issues is relatively low when smoke machine operates and does not cause user in physiology and psychological
Negative effect.The specific installation site of present invention design simultaneously and optimization Enclosed Sound Field denoising device in smoke machine, is obtained
Obtain the spatial dimension of most effective noise reduction effect and effective noise reduction.Furthermore a kind of band noise reduction of the invention and vision-based detection function
Kitchen ventilator noise-reduction method, main feature be using multiple subbands signal processing method and filter joint lowest mean square
(F-XLMS) algorithm can effectively reduce a large amount of calculating, improve the effect of three-dimensional space noise reduction.Meanwhile calculation amount with
The quantity of subband is inversely proportional, therefore is capable of the stability of consolidation system, and being capable of fast convergence.Another advantage of this method is
The delay that signal can be removed 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 that a kind of signal of the kitchen ventilator with noise reduction and vision-based detection function of the present invention transmits relationship.
Fig. 2 is the structural perspective of embodiment 1.
Fig. 3 is the side view of Fig. 2.
Fig. 4 is the local perspective view in Fig. 2.
Fig. 5 is the decomposition diagram of Fig. 4.
Fig. 6 is the perspective diagram of low resistance bellows.
Fig. 7 is noise filtering apparatus structure schematic diagram.
Fig. 8 is low resistance bellows top view.
Fig. 9 is low resistance bellows main view.
Figure 10 is loudspeaker and air inlet angle schematic diagram.
Figure 11 is the structural schematic diagram of low resistance bellows, and A is full encirclement structure in Figure 11, and B is that A is another in Figure 11 in Figure 11
One angle, C is semi-surrounding structure in Figure 11, and D is another angle of C in Figure 11 in Figure 11.
Figure 12 is the signal flow schematic diagram of de-noising signal processing method of the present invention.
Figure 13 is the schematic diagram that bandpass filter returns sensor processing to Noise Acquisition sensor signal and error.
Fig. 1 includes into Figure 13：
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,
Cowling panel 13,
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,
Vision detection system 3,
External stove 4.
Specific embodiment
Technical solution of the present invention is described further with the following Examples.
Embodiment 1.
A kind of kitchen ventilator with noise reduction and vision-based detection function is provided with smoke machine main body 1, for leading as shown in Fig. 1 to 10
Move the Enclosed Sound Field denoising device 2 of noise reduction and the vision detection system 3 for monitoring smoke condition, vision detection system 3
It is assemblied in smoke machine main body 1, Enclosed Sound Field denoising device 2 is assemblied in inside smoke machine main body 1.
Vision detection system 3 and Enclosed Sound Field denoising device 2 are electrically connected with the smoke machine mainboard of smoke machine main body 1 respectively.
The present embodiment is preferably that smoke machine mainboard and vision detection system 3 and the linkage of Enclosed Sound Field denoising device 2 start.
Vision detection system 3 is provided with infrared light compensating apparatus, camera apparatus, relay, main control chip and anti-blur eyeglass,
Infrared light compensating apparatus, camera apparatus and relay are electrically connected with main control chip respectively, and main control chip is electrically connected with smoke machine mainboard, red
Outer light compensating apparatus and camera apparatus are assemblied in the outside of smoke machine main body 1 towards stove respectively, and anti-blur eyeglass is assemblied in camera dress
The outer surface set.
Camera apparatus obtains the 4 region smog image information of external stove of current smoke machine main body 1 and is transmitted to main control chip,
Main control chip determines the target area of present image by detection algorithm and determining current smokescope grade obtains processing signal,
Processing signal is transmitted to smoke machine mainboard again by main control chip.
Vision detection system 3 is provided with infrared light compensating apparatus for improving the luminous intensity of camera apparatus acquisition picture, anti-mould
Paste eyeglass is used to prevent the assembly of steam or oil smoke and influences the clarity that camera apparatus acquires picture.
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 electrically connected with smoke machine mainboard, Enclosed Sound Field noise reduction unit 22 and adaptive noise reduction control unit 23 are assemblied in smoke machine master respectively
Body 1.
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, and 223 fixing assembling of acoustic resonance case is in the exhausting group of smoke machine main body 1
The lower section of part 12, Noise Acquisition sensor 221 are fixedly installed in exhausting component 12, Noise Acquisition sensor 221 and loudspeaker 222
It is electrically connected respectively with adaptive noise reduction control unit 23.
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.
Bandpass filter 231 receives the processing signal of smoke machine mainboard and starts noise reduction.
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.
The low resistance bellows 11 are provided with multiple bellows plates and noise filtering device 111, and multiple bellows plate splicings become
One stereochemical structure, noise filtering device 111 are assemblied in the inner surface of bellows plate.
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 in the C and Figure 11 in Fig. 6, Figure 11.
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, wind wheel 121 is electrically connected with smoke machine mainboard.
It should be noted that the present invention may be vision detection system 3 and Enclosed Sound Field denoising device 2 independently
Starting, specific embodiment according to the actual situation depending on.
Noise signal is resolved into multiple subband signals by kitchen ventilator of the invention, is converted to the power arrow of bandpass filter 231
Amount, then the conversion of obtained 231 weight vector of bandpass filter is generated into corresponding 222 sound field of loudspeaker, and equal strength sound wave is believed
It number sends corresponding loudspeaker 222 to, reduces or offsets what kitchen ventilator generated by the sound wave that corresponding loudspeaker 222 generates
Noise sound wave realizes noise reduction.
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：When smoke machine main body 1 is opened, smoke machine mainboard is vision detection system 3 and Enclosed Sound Field
Denoising device 2 provides power supply, and vision detection system 3 and Enclosed Sound Field denoising device 2 started simultaneously or at 0.5 to 5 second
Interior starting, Enclosed Sound Field denoising device 2 carry out noise reduction.Wherein vision detection system 3 monitors the smoke condition in stove region,
Vision detection system 3 simultaneously determines current smokescope grade and processing signal is transmitted to smoke machine mainboard, and smoke machine mainboard adjusts pumping
The revolving speed of wind component 12 or be assemblied in smoke machine main body cowling panel 13 collapsing length.Gear number is adjusted instruction letter by smoke machine mainboard
Number or processing signal feed back to Enclosed Sound Field denoising device 2, Enclosed Sound Field denoising device 2 adjusts noise reduction strategies.Example
Such as when vision detection system 3 detects that smog is more, vision detection system 3 transmits a signal to smoke machine mainboard, smoke machine mainboard
Improve the revolving speed of exhausting component 13, and increase smoke machine main body cowling panel 13 collapsing length to increase the area of air inlet,
To make smog take away rapidly, vice versa.
The noise that kitchen ventilator generates is in the full encirclement structure or semi-surrounding structure for touching low resistance bellows 11, with anti-
It propagates most incidence wave and can be interfered with back wave in direction.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.
The kitchen ventilator with noise reduction and vision-based detection function, is provided with smoke machine main body 1, the three-dimensional space for active noise reduction
Sound field denoising device 2 and vision detection system 3, the vision detection system 3 for monitoring smoke condition are assemblied in smoke machine main body 1,
Enclosed Sound Field denoising device 2 is assemblied in inside smoke machine main body 1.Vision detection system 3 and Enclosed Sound Field denoising device 2
It is electrically connected respectively with the smoke machine mainboard of smoke machine main body 1.Smoke machine mainboard receives vision detection system 3 and handles signal and be converted into instruction
Signal, and processing signal is transmitted to Enclosed Sound Field denoising device 2.Kitchen ventilator of the invention resolves into noise signal more
A subband signal is converted to 231 weight vector of bandpass filter, then obtained 231 weight vector of bandpass filter is converted and is generated
Corresponding 222 sound field of loudspeaker, and send equal strength acoustic signals to corresponding loudspeaker 222, pass through corresponding loudspeaker
222 sound waves generated reduce or offset the noise sound wave of kitchen ventilator generation, realize noise reduction.The low resistance bellows 11 of the kitchen ventilator
Incidence wave and back wave can be made to have out of phase under the specific distance with reflecting surface, so that the sound wave of noise can be mutual
It offsets, to reduce the intensity of noise.It is complete surround structure or semi-surrounding structure can make the optimization for reaching smoke machine performance but
It is simultaneously to complete work under the operating of low noise, solves noise and the conflicting technological difficulties of performance, do not sacrificing smoke machine
Fume-exhausting performance under the premise of, the noise that issues is relatively low when smoke machine operates and does not cause user in physiology and psychological negative
Face is rung.The specific installation site of last present invention design and optimization Enclosed Sound Field denoising device 2 in smoke machine, obtains most
The spatial dimension of effective noise reduction effect and effective noise reduction.
Embodiment 2.
A kind of kitchen ventilator with noise reduction and vision-based detection function, other features are same as Example 1, the difference is that：
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 kitchen ventilator with noise reduction and vision-based detection function, other features are same as Example 1, the difference is that：
The vision detection system 3 and Enclosed Sound Field denoising device 2 of the present embodiment independently start.
The course of work is as follows：When smoke machine main body 1 is opened, smoke machine mainboard is that vision detection system 3 and Enclosed Sound Field drop
Device 2 of making an uproar provides power supply, and vision detection system 3 and Enclosed Sound Field noise reduction dress are opened in selection to user respectively according to the actual situation
Set 2.Noise reduction is carried out when Enclosed Sound Field denoising device 2 is opened.When vision detection system 3 is opened, vision detection system 3
The smoke condition in stove region is monitored, vision detection system 3 simultaneously determines current smokescope grade and is transmitted to processing signal
Smoke machine mainboard, smoke machine mainboard adjust the revolving speed of exhausting component 12 or are assemblied in the collapsing length of the cowling panel 13 of smoke machine main body.
Such as when vision detection system 3 detects that smog is more, vision detection system 3 transmits a signal to smoke machine mainboard, smoke machine master
Plate improves the revolving speed of exhausting component 13, and increase smoke machine main body cowling panel 13 collapsing length to increase the face of air inlet
Product, so that smog be made to take away rapidly, vice versa.
The present embodiment compared with Example 1, opens to the property of can choose vision detection system 3 and Enclosed Sound Field noise reduction
Device 2 improves flexibility.
Embodiment 4.
A kind of kitchen ventilator with noise reduction and vision-based detection function, other features are same as Example 2, the difference is that：
The exhausting component 12 of the present embodiment is located in the full encirclement structure formed by the strainer 115 and low resistance bellows 11 of air inlet
Portion, as shown in the B in the A and Figure 11 in Figure 11.
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 with noise reduction and vision-based detection function, 2 noise reduction frequency range of Enclosed Sound Field denoising device are
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 6.
A kind of kitchen ventilator with noise reduction and vision-based detection function, noise-reduction method include the following steps as illustrated by figs. 12-13：
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 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 with noise reduction and vision-based detection function has the beneficial effect that a signal decomposition at each subband
After signal, for accelerating the convergence on algorithm, because signal spectrum dynamic domain is greatly decreased relative to original signal on subband, together
When, the slip of calculation amount be it is directly proportional to number of sub-bands, therefore, the application will be used further to filtering X after signal decomposition minimum
In square algorithm, compared with directly handling original signal in traditional active denoising method, active noise reduction is can be improved in three-dimensional in the present invention
The actual effect applied in 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 (10)
1. a kind of kitchen ventilator with noise reduction and vision-based detection function, it is characterised in that：It is provided with smoke machine main body, for active noise reduction
Enclosed Sound Field denoising device and vision detection system for monitoring smoke condition, vision detection system be assemblied in smoke machine
Main body, Enclosed Sound Field denoising device are assemblied in smoke machine body interior；
Vision detection system and Enclosed Sound Field denoising device are electrically connected with the smoke machine mainboard of smoke machine main body respectively.
2. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 1, it is characterised in that：The smoke machine
Mainboard and the linkage of vision detection system and Enclosed Sound Field denoising device start.
3. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 1, it is characterised in that：The vision
Detection system and Enclosed Sound Field denoising device independently start.
4. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 2 or 3, it is characterised in that：It is described
Vision detection system is provided with infrared light compensating apparatus, camera apparatus, relay, main control chip and anti-blur eyeglass, infrared light filling
Device, camera apparatus and relay are electrically connected with main control chip respectively, and main control chip is electrically connected with smoke machine mainboard, infrared light filling dress
The outside for being assemblied in smoke machine main body respectively with camera apparatus is set towards stove, anti-blur eyeglass is assemblied in the appearance of camera apparatus
Face；
Camera apparatus obtains the external stove region smog image information of current smoke machine main body and is transmitted to main control chip, master control core
Piece determines the target area of present image by detection algorithm and determines that current smokescope grade obtains processing signal, master control core
Processing signal is transmitted to smoke machine mainboard again by piece, and smoke machine mainboard adjusts the revolving speed of exhausting component or is assemblied in the whole of smoke machine main body
The collapsing length of flowing plate；
Gear number is adjusted indication signal to smoke machine mainboard or processing signal feeds back to Enclosed Sound Field denoising device, three-dimensional space sound
Field denoising device adjusts noise reduction strategies.
5. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 4, it is characterised in that：The three-dimensional
Space sound field denoising device is provided with Enclosed Sound Field noise reduction unit and adaptive noise reduction control unit, adaptive noise reduction control
Unit is electrically connected with Enclosed Sound Field noise reduction unit, and Enclosed Sound Field noise reduction unit is electrically connected with smoke machine mainboard, three-dimensional space
Between sound field noise reduction unit and adaptive noise reduction control unit be assemblied in smoke machine main body respectively；
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 in the lower section of the exhausting component of smoke machine main body, 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；
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；
Bandpass filter receives the processing signal of smoke machine mainboard and starts noise reduction.
6. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 5, it is characterised in that：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 body interior；
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；
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；
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, wind wheel and smoke machine master
Plate electrical connection；
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.
7. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 6, it is characterised in that：It is described adaptive
Noise reduction control unit is answered to be additionally provided with error passback sensor, error passback sensor is fixedly installed in smoke machine body interior and position
In low resistance bellows lower section, error passback sensor be electrically connected with bandpass filter；
The error passback sensor is located at the lower section of loudspeaker.
8. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 7, it is characterised in that：The loudspeaking
Device and acoustics resonant tank are both provided with K, and K >=1, K are positive integer, and 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 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 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.
9. a kind of kitchen ventilator with noise reduction and vision-based detection function according to claim 8, it is characterised in that：Noise reduction side
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.
10. a kind of noise-reduction method of the kitchen ventilator with noise reduction and vision-based detection function, it is characterised in that：By in claim 9
Noise-reduction method carry out.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810191914 | 2018-03-08 | ||
| CN2018101919149 | 2018-03-08 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108916944A true CN108916944A (en) | 2018-11-30 |
| CN108916944B CN108916944B (en) | 2020-04-28 |
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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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| 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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| 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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| 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 |
| CN201810772845.0A Active CN108916940B (en) | 2018-03-08 | 2018-07-14 | Intelligent 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 |
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| 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 |
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| CN109994099A (en) * | 2019-03-18 | 2019-07-09 | 佛山市云米电器科技有限公司 | A kind of bedroom active noise reducing device and the bedroom with the active noise reducing device |
| CN110516341B (en) * | 2019-08-21 | 2024-01-23 | 西北工业大学 | Noise reduction method for additional damping of gearbox based on modal strain energy |
| TWI790597B (en) | 2020-05-21 | 2023-01-21 | 佳音醫療器材股份有限公司 | Device for alleviating obstructive sleep apnea |
| CN111536569B (en) * | 2020-06-11 | 2021-06-29 | 珠海格力电器股份有限公司 | Range hood control method and device, range hood and readable storage medium |
| CN111899712B (en) * | 2020-08-13 | 2024-03-22 | 珠海格力电器股份有限公司 | Active noise reduction device and method for smoke exhaust ventilator |
| CN111964120A (en) * | 2020-09-08 | 2020-11-20 | 珠海格力电器股份有限公司 | Smoke exhaust ventilator |
| CN112240584B (en) * | 2020-09-27 | 2022-05-17 | 宁波方太厨具有限公司 | Noise reduction method of range hood and range hood |
| CN112344525A (en) * | 2020-10-29 | 2021-02-09 | 青岛海信日立空调系统有限公司 | Air pipe type air conditioner indoor unit |
| CN112903550B (en) * | 2021-01-28 | 2022-04-19 | 宁波方太厨具有限公司 | Oil smoke concentration data set generation method, device, system, equipment and medium |
| CN113542981A (en) * | 2021-06-08 | 2021-10-22 | 深圳市和宏实业股份有限公司 | Noise reduction module based on fixed noise source and noise reduction method thereof |
| CN113421537B (en) * | 2021-06-09 | 2022-05-24 | 南京航空航天大学 | Global active noise reduction method of rotor craft |
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