CN109655585A - A kind of kitchen ventilator that can identify kitchen air quality - Google Patents
A kind of kitchen ventilator that can identify kitchen air quality Download PDFInfo
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- CN109655585A CN109655585A CN201811630726.8A CN201811630726A CN109655585A CN 109655585 A CN109655585 A CN 109655585A CN 201811630726 A CN201811630726 A CN 201811630726A CN 109655585 A CN109655585 A CN 109655585A
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- 125000005575 polycyclic aromatic hydrocarbon group Chemical group 0.000 claims abstract description 200
- 238000010411 cooking Methods 0.000 claims abstract description 122
- 239000000779 smoke Substances 0.000 claims abstract description 115
- 239000013618 particulate matter Substances 0.000 claims abstract description 107
- 230000007613 environmental effect Effects 0.000 claims abstract description 79
- 239000002245 particle Substances 0.000 claims abstract description 54
- 239000005416 organic matter Substances 0.000 claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 239000000126 substance Substances 0.000 claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 150000004945 aromatic hydrocarbons Chemical class 0.000 claims description 63
- FMMWHPNWAFZXNH-UHFFFAOYSA-N Benz[a]pyrene Chemical compound C1=C2C3=CC=CC=C3C=C(C=C3)C2=C2C3=CC=CC2=C1 FMMWHPNWAFZXNH-UHFFFAOYSA-N 0.000 claims description 45
- 239000004215 Carbon black (E152) Substances 0.000 claims description 34
- 125000003118 aryl group Chemical group 0.000 claims description 33
- 230000001953 sensory effect Effects 0.000 claims description 23
- 230000007923 virulence factor Effects 0.000 claims description 19
- 239000000304 virulence factor Substances 0.000 claims description 19
- 230000033228 biological regulation Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 9
- BBEAQIROQSPTKN-UHFFFAOYSA-N pyrene Chemical compound C1=CC=C2C=CC3=CC=CC4=CC=C1C2=C43 BBEAQIROQSPTKN-UHFFFAOYSA-N 0.000 claims description 8
- 230000006870 function Effects 0.000 claims description 7
- 231100000816 toxic dose Toxicity 0.000 claims description 7
- 230000000505 pernicious effect Effects 0.000 claims description 5
- GVEPBJHOBDJJJI-UHFFFAOYSA-N fluoranthrene Natural products C1=CC(C2=CC=CC=C22)=C3C2=CC=CC3=C1 GVEPBJHOBDJJJI-UHFFFAOYSA-N 0.000 claims description 4
- 230000006698 induction Effects 0.000 claims description 4
- ZMPYMKAWMBVPQE-UHFFFAOYSA-N 2-[(6-chloropyridin-3-yl)methyl-ethylamino]-2-methyliminoacetic acid Chemical compound CCN(CC1=CN=C(C=C1)Cl)C(=NC)C(=O)O ZMPYMKAWMBVPQE-UHFFFAOYSA-N 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000010191 image analysis Methods 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000010259 detection of temperature stimulus Effects 0.000 claims description 2
- 150000002430 hydrocarbons Chemical group 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims 1
- 239000011159 matrix material Substances 0.000 description 15
- 238000000034 method Methods 0.000 description 12
- 239000007789 gas Substances 0.000 description 10
- 230000007797 corrosion Effects 0.000 description 6
- 238000005260 corrosion Methods 0.000 description 6
- 235000013339 cereals Nutrition 0.000 description 5
- 238000003708 edge detection Methods 0.000 description 4
- 125000003367 polycyclic group Chemical group 0.000 description 4
- 238000003672 processing method Methods 0.000 description 4
- 231100000419 toxicity Toxicity 0.000 description 4
- 230000001988 toxicity Effects 0.000 description 4
- 125000005605 benzo group Chemical group 0.000 description 3
- 239000003517 fume Substances 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005530 etching Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 239000008187 granular material Substances 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 239000003550 marker Substances 0.000 description 2
- 241001270131 Agaricus moelleri Species 0.000 description 1
- 206010007269 Carcinogenicity Diseases 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007670 carcinogenicity Effects 0.000 description 1
- 231100000260 carcinogenicity Toxicity 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000003694 hair properties Effects 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 230000007688 immunotoxicity Effects 0.000 description 1
- 231100000386 immunotoxicity Toxicity 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000007886 mutagenicity Effects 0.000 description 1
- 231100000299 mutagenicity Toxicity 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 239000004071 soot Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
- G01N33/0032—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array using two or more different physical functioning modes
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
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- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Combustion & Propulsion (AREA)
- Analytical Chemistry (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Food Science & Technology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Investigating Or Analyzing Materials By The Use Of Fluid Adsorption Or Reactions (AREA)
- Air Conditioning Control Device (AREA)
Abstract
A kind of kitchen ventilator that can identify kitchen air quality, it is provided with smoke machine main body and is electrically connected for detecting temperature in cooking zone, oil smoke size, particle concentration, volatile organic matter concentration and the harmful substance detection device of polycyclic aromatic hydrocarbon concentration, harmful substance detection device with smoke machine main body.Temperature, oil smoke size, volatile organic matter concentration, the concentration of particulate matter and polycyclic aromatic hydrocarbon concentration in oil smoke function detection cooking zone of the invention, the division of polycyclic aromatic hydrocarbon environmental rating can also be carried out to the concentration of the polycyclic aromatic hydrocarbon of current environment, it carries out air quality index evaluation and obtains Health Category, the kitchen ventilator also has blast velocity control module, cue module and firepower control module simultaneously, current environment Health Category automatically adjusts the firepower of wind speed and external stove, making the polycyclic aromatic hydrocarbon concentration of current environment reduces, while call user's attention is protected.The kitchen ventilator can also detect the humidity of current environment and pressure is modified the calculating of computing module, to improve the accuracy of polycyclic aromatic hydrocarbon concentration.
Description
Technical field
The present invention relates to kitchen ventilator field, in particular to a kind of kitchen ventilator that can identify kitchen air quality.
Background technique
In the modern life, many families can generate a large amount of oil smoke in cooking.Studies have shown that cooking fume ingredient is multiple
It is miscellaneous, there is certain toxicity on inhalation, immunotoxicity and mutagenicity, there are certain harm to human health.In soot gas
Include multiring aromatic hydrocarbon substance and a variety of particulate matters, has considerable part that there is carcinogenicity, such as benzo in multiring aromatic hydrocarbon substance
[α] pyrene, particulate matter have different degrees of influence to human respiratory.The kitchen ventilator of the prior art can not automatic identification it is current
The multiring aromatic hydrocarbon substance concentration and particle concentration of oil smoke in cooking environments greatly limit the intelligent hair of kitchen ventilator
Exhibition.
Therefore in view of the shortcomings of the prior art, providing a kind of kitchen ventilator that can identify kitchen air quality to solve the prior art
It is insufficient very necessary.
Summary of the invention
There is provided it is an object of the invention to avoid in place of the deficiencies in the prior art a kind of can identify kitchen air quality
Kitchen ventilator.This can identify that the oil smoke function of kitchen air quality identifies polycyclic aromatic hydrocarbon concentration in preceding cooking environments, oil smoke size, waves
Hair property organic concentration and detection particle concentration.
Above-mentioned purpose of the invention is realized by following technical measures:
A kind of kitchen ventilator that can identify kitchen air quality is provided, is provided with smoke machine main body and for detecting in cooking zone
Temperature, oil smoke size, particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration harmful substance detection device,
Harmful substance detection device is electrically connected with smoke machine main body.
Preferably, above-mentioned harmful substance detection device is provided with the temperature sensing mould for detecting temperature in cooking zone
Block, for detecting the particulate matter sensory package of particle concentration in current cooking zone oil smoke, for calculating current cooking zone
Polycyclic aromatic hydrocarbon concentration computing module, the figure for obtaining generating oil smoke size to the image analysis of cooking zone oil smoke and in real time
The VOC sensor of volatile organic matter concentration as acquisition module and for detecting current cooking zone, temperature sensing module,
Grain object sensory package, VOC sensor and image capture module are electrically connected with computing module respectively, temperature sensing module, particulate matter
Sensory package, VOC sensor, computing module and image capture module are electrically connected with smoke machine main body respectively.
Temperature obtains temperature signal and using obtained temperature signal as temperature in temperature sensing module induction cook region
Degree output signal is transmitted to computing module, and particulate matter sensory package acquires particle concentration in current cooking zone oil smoke and obtains
Grain concentration signal is simultaneously transmitted to computing module, and the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC
Concentration signal is simultaneously transmitted to computing module, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and passes
Computing module is transported to, computing module receives temperature output signal, oil smoke output signal, VOC concentration signal and granule density respectively
Then signal handles the polycyclic aromatic hydrocarbon concentration for obtaining current cooking zone in real time.
Preferably, above-mentioned particulate matter sensory package includes to be less than for detecting equivalent diameter in current cooking zone oil smoke
It is less than or equal to equal to the PM2.5 sensor of 2.5 micron particles object concentration, for detecting equivalent diameter in current cooking zone oil smoke
The PM10 sensor of 10 micron particles object concentration, for detecting in current cooking zone oil smoke equivalent diameter, to be less than or equal to 1.0 micro-
The PM1.0 sensor of rice grain object concentration is less than or equal to 0.1 micron for detecting equivalent diameter in current cooking zone oil smoke
The PM0.1 sensor of grain object concentration and it is less than or equal to 0.05 micron particles for detecting in current cooking zone oil smoke equivalent diameter
The PMA sensor of object concentration, PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor and PMA sensor point
It is not electrically connected with temperature sensing module, VOC sensor, computing module, image capture module and smoke machine main body.
PM10 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 10 micron particles object concentration
PM10 concentration signal is simultaneously transmitted to computing module.
PM2.5 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 2.5 micron particles object concentration
To PM2.5 concentration signal and it is transmitted to computing module.
PM1.0 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 1.0 micron particles object concentration
To PM1.0 concentration signal and it is transmitted to computing module.
PM0.1 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 0.1 micron particles object concentration
To PM0.1 concentration signal and it is transmitted to computing module.
PMA sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 0.05 micron particles object concentration
PMA concentration signal is simultaneously transmitted to computing module.
Preferably, above-mentioned computing module is organic about temperature, volatility in cooking zone to construct to obtain with mathematical modeling
The calculating mould of object concentration, oil smoke size and particle concentration and the mathematical relationship of polycyclic aromatic hydrocarbon concentration in pernicious gas in oil smoke
Block.
Preferably, above-mentioned computing module is lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power
Type computing module, logarithmic computing module, neural network computing module, machine learning computing module or deep learning calculate
Module.
Preferably, the calculation formula of above-mentioned computing module is formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module, C is the output data of particulate matter sensory package, CPM10For the output number of PM10 sensor
According to CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
Another preferred, the calculation formula of above-mentioned computing module is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.01λ1.05+0.0005C1.05+25CVOC 1.05+6*10-5κλC+469.5
C=CPM10+CPM2.5+CPM1.0+CPM0.1+CPMA
... formula (II).
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module, C is the output data of particulate matter sensory package, CPM10For the output number of PM10 sensor
According to CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
Preferably, above-mentioned computing module carries out the division of polycyclic aromatic hydrocarbon environmental rating also according to polycyclic aromatic hydrocarbon concentration.
Polycyclic aromatic hydrocarbon environment is carried out by be averaged limiting concentration and polycyclic aromatic hydrocarbon concentrations versus of benzo [a] pyrene of national regulations
Grade classification.
As C polycyclic aromatic hydrocarbon < CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health, works as CPolycyclic aromatic hydrocarbon≥CBenzo [a] pyreneWhen,
Then polycyclic aromatic hydrocarbon environmental rating is determined as unhealthy.
Wherein C benzo [a] pyrene is that benzo [a] pyrene of national regulations is averaged limiting concentration, and C benzo [a] pyrene=1ng/m3。
It is divided by by benzo [a] pyrene of the polycyclic aromatic hydrocarbon concentration and national regulations limiting concentration that is averaged and carries out polycyclic aromatic hydrocarbon environment
Grade classification, as shown in formula (III):
As 0≤ε≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As 0.5 < ε≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well.
As 1 < ε≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium.
As 5 < ε≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor.
As 10 < ε, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
Preferably, above-mentioned cycloaromatics environmental rating division is with result after polycyclic aromatic hydrocarbon concentration and the weighting of equivalent virulence factor
The polycyclic aromatic hydrocarbon environmental rating of progress divides.
By formula (IV) count polycyclic aromatic hydrocarbon total yield toxic concentration:
Wherein BEQ is the total yield virulence factor of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, 1≤μ≤ξ and μ and ξ
For natural number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.
It is averaged limiting concentration pair by benzo [a] pyrene of polycyclic aromatic hydrocarbon concentration and equivalent virulence factor product and national regulations
Than carrying out the division of polycyclic aromatic hydrocarbon environmental rating；
As BEQ < CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As BEQ >=CBenzo [a] pyreneWhen, then the judgement of polycyclic aromatic hydrocarbon environmental rating is then determined as unhealthy.
It is averaged limiting concentration phase by benzo [a] pyrene of polycyclic aromatic hydrocarbon concentration and equivalent virulence factor product and national regulations
Except progress polycyclic aromatic hydrocarbon environmental rating division, as shown in formula (VI):
As 0≤δ≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As 0.5 < δ≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well.
As 1 < δ≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium.
As 5 < δ≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor.
As 10 < δ, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
Preferably, above-mentioned computing module divides the healthy definite value of polycyclic aromatic hydrocarbon environmental rating progress to obtain polycyclic aromatic hydrocarbon health
Grade UPolycyclic aromatic hydrocarbon。
Preferably, above-mentioned computing module is according to PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor
Or the output data of PMA sensor and selected air quality standard carry out air quality index evaluation, as shown in formula (VII):
Wherein M is current air quality index,
BMHiFor the high-value of selected air quality standard particle concentration limit value corresponding with C.
BMLoFor the low-value for selecting particle concentration limit value corresponding with C in air quality standard.
MHiFor in selected air quality standard with BMHiCorresponding air quality separate index number.
MLoFor in selected air quality standard with BMLoCorresponding air quality separate index number.
Air quality index is carried out healthy definite value to divide to obtain particulate matter Health Category UParticulate matter。
Preferably, the output data of VOC sensor is carried out healthy definite value and divides to obtain volatility to have by above-mentioned computing module
Machine object Health Category UVOC。
Preferably, above-mentioned computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterAnd volatility
Organic matter Health Category UVOCThe Health Category U that maximum value is current cooking zone is chosen in comparison, as shown in formula (VIII),
U=max (UParticulate matter,UVOC, UPolycyclic aromatic hydrocarbon) formula (VIII)；Or
Preferably, above-mentioned computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterAnd volatility
Organic matter Health Category UVOCAdduction obtains the Health Category U of current cooking zone, as shown in formula (Ⅸ),
U=UParticulate matter+UVOC+UPolycyclic aromatic hydrocarbonFormula (Ⅸ)；Or
Preferably, above-mentioned computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon、
Particulate matter Health Category UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCHave multiplied by volatility
Machine property rights repeated factor QVOCThe Health Category U that maximum value is current cooking zone is chosen in comparison, as shown in formula (Ⅹ),
U=max (UParticulate matter*QParticulate matter,UVOC*QVOC, UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbon) formula (Ⅹ)；Or
Preferably, above-mentioned computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon、
Particulate matter Health Category UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCHave multiplied by volatility
Machine property rights repeated factor QVOCIt sums up to obtain the Health Category U of current cooking zone, as shown in formula (Ⅺ),
U=UParticulate matter*QParticulate matter+UVOC*QVOC+UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbonFormula (Ⅺ).
Preferably, above-mentioned smoke machine main body is provided with blast velocity control module, cue module and firepower control module, prompts mould
Block, firepower control module and blast velocity control module are electrically connected with computing module respectively, and firepower control module also connects with external stove
It connects.
Preferably, wind speed tune of the Health Category that above-mentioned blast velocity control module is sent according to computing module to smoke machine main body
Section.
Preferably, above-mentioned cue module carries out current polycyclic aromatic hydrocarbon ring to user according to the Health Category that computing module is sent
The prompt of border grade.
Preferably, above-mentioned firepower control module carries out firepower tune to external stove according to the Health Category that computing module is sent
Section.
Preferably, above-mentioned harmful gas detecting device is additionally provided with the air humidity data for detecting current cooking zone
Humidity sensor and the barometric information for detecting current cooking zone pressure sensor, humidity sensor and pressure sensing
Device is electrically connected with computing module and smoke machine main body respectively.
Humidity sensor acquires current cooking zone air humidity data and obtains moisture signal and be transmitted to computing module, presses
Force snesor acquires current cooking zone barometric information and obtains pressure signal and be transmitted to computing module, and computing module receives respectively
Moisture signal and pressure signal handle the polycyclic aromatic hydrocarbon concentration that then processing obtains current cooking zone in real time.
A kind of kitchen ventilator that can identify kitchen air quality of the invention, is provided with smoke machine main body and for detecting cooking area
The harmful substance detection dress of temperature, oil smoke size, particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration in domain
It sets, harmful substance detection device is electrically connected with smoke machine main body.Harmful substance detection device according to temperature in the cooking zone of detection,
The concentration and volatile organic matter concentration of particulate matter carry out cooking zone is calculated current in oil smoke size, cooking zone oil smoke
Polycyclic aromatic hydrocarbon concentration.Temperature in oil smoke function detection cooking zone of the invention, oil smoke size, volatile organic matter concentration,
The concentration and polycyclic aromatic hydrocarbon concentration of particulate matter, moreover it is possible to which polycyclic aromatic hydrocarbon environmental rating is carried out to the concentration of the polycyclic aromatic hydrocarbon of current environment
It divides, carry out air quality index evaluation and obtains Health Category, while the kitchen ventilator also has blast velocity control module, prompt mould
Block and firepower control module, current environment Health Category automatically adjust the firepower of wind speed and external stove, make the more of current environment
Cycloaromatics concentration reduces, while call user's attention is protected.Finally the kitchen ventilator can also detect the humidity and pressure of current environment
Power is modified the calculating of computing module, to improve the accuracy of polycyclic aromatic hydrocarbon concentration, while obtaining in current environment
Humidity and pressure data also can carry out thoroughly evaluating to environment.
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 workflow schematic diagram of kitchen ventilator that can identify kitchen air quality of embodiment 1.
Fig. 2 is a kind of workflow schematic diagram of kitchen ventilator that can identify kitchen air quality of embodiment 10.
Specific embodiment
Technical solution of the present invention is described further with the following Examples.
Embodiment 1.
A kind of kitchen ventilator that can identify kitchen air quality, as shown in Figure 1, being provided with smoke machine main body and for detecting culinary art
The harmful substance detection of temperature, oil smoke size, particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration in region
Device, harmful substance detection device are electrically connected with smoke machine main body.
Harmful substance detection device is provided with for detecting the temperature sensing module of temperature in cooking zone, working as detecting
The particulate matter sensory package of particle concentration, the polycyclic aromatic hydrocarbon concentration for calculating current cooking zone in preceding cooking zone oil smoke
Computing module, image capture module and use for obtaining generating oil smoke size to the image analysis of cooking zone oil smoke and in real time
In the VOC sensor for the volatile organic matter concentration for detecting current cooking zone, temperature sensing module, particulate matter sensory package,
VOC sensor and image capture module are electrically connected with computing module respectively, and temperature sensing module, particulate matter sensory package, VOC are passed
Sensor, computing module and image capture module are electrically connected with smoke machine main body respectively.
Temperature is preferably kitchen tools temperature in temperature sensing module induction cook region of the invention.
Temperature obtains temperature signal and using obtained temperature signal as temperature in temperature sensing module induction cook region
Degree output signal is transmitted to computing module, and particulate matter sensory package acquires particle concentration in current cooking zone oil smoke and obtains
Grain concentration signal is simultaneously transmitted to computing module, and the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC
Concentration signal is simultaneously transmitted to computing module, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and passes
Computing module is transported to, computing module receives temperature output signal, oil smoke output signal, VOC concentration signal and granule density respectively
Then signal handles the polycyclic aromatic hydrocarbon concentration for obtaining current cooking zone in real time.
Particulate matter sensory package includes to be less than or equal to 2.5 microns for detecting equivalent diameter in current cooking zone oil smoke
The PM2.5 sensor of particle concentration is less than or equal to 10 micron particles for detecting equivalent diameter in current cooking zone oil smoke
The PM10 sensor of object concentration, for detecting in current cooking zone oil smoke equivalent diameter, to be less than or equal to 1.0 micron particles objects dense
The PM1.0 sensor of degree is less than or equal to 0.1 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
PM0.1 sensor and it is less than or equal to 0.05 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
PMA sensor, PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor and PMA sensor respectively with temperature
Sensing module, VOC sensor, computing module, image capture module and the electrical connection of smoke machine main body.
PM10 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 10 micron particles object concentration
PM10 concentration signal is simultaneously transmitted to computing module.
PM2.5 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 2.5 micron particles object concentration
To PM2.5 concentration signal and it is transmitted to computing module.
PM1.0 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 1.0 micron particles object concentration
To PM1.0 concentration signal and it is transmitted to computing module.
PM0.1 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 0.1 micron particles object concentration
To PM0.1 concentration signal and it is transmitted to computing module.
PMA sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 0.05 micron particles object concentration
PMA concentration signal is simultaneously transmitted to computing module.
It should be noted that particulate matter sensory package of the invention is used to detect the concentration of the particulate matter in air, as long as real
Now the particulate matter sensory package of the function is all in protection scope of the present invention.Simultaneously known in the model of particulate matter sensory package often
Know, it is not tired herein to state.
Computing module of the present invention is dense about temperature, volatile organic matter in cooking zone to construct to obtain with mathematical modeling
The computing module of degree, oil smoke size and particle concentration and the mathematical relationship of polycyclic aromatic hydrocarbon concentration in pernicious gas in oil smoke.
Computing module of the invention is obtained by mathematical modeling, and mathematical modeling is to collect different temperatures, oil smoke by experiment
The mathematical relationship of polycyclic aromatic hydrocarbon concentration in the factors such as size, volatile organic matter concentration and particle concentration and oil smoke.According to not
With experiment condition carry out sample detecting obtain variety classes polycyclic aromatic hydrocarbon concentration carry out analysis sort out obtain mathematical model, thus
Computing module can be judged current not of the same race according to the testing conditions of the concentration of particulate matter in temperature in cooking zone and oil smoke
Class polycyclic aromatic hydrocarbon concentration.
Computing module of the invention is lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power type meter
Calculate module, logarithmic computing module, neural network computing module, machine learning computing module or deep learning computing module
One of which.
The processing method of image capture module are as follows:
Image capture module is handled based on the initial pictures that imaging device acquires, and initial pictures are gray scale
Figure, initial pictures collected are serialized, and the initial pictures of the initial pictures and previous frame that pass sequentially through rear frame are handled, and are obtained
To the current kitchen fume concentration at moment locating for each rear frame initial pictures
It is handled every time by the initial pictures of rear frame and the initial pictures of previous frame, when obtaining locating for rear frame initial pictures
The step process for the current kitchen fume concentration carved is as follows:
(1) initial pictures of rear frame and the initial pictures of previous frame frame difference is carried out to handle to obtain frame difference image；
(2) denoising is carried out to frame difference image in a manner of opening operation, obtains denoising image；
(3) edge detection is carried out to denoising image, marker motion region is as initial area-of-interest；
(4) gray average calculating is carried out to initial area-of-interest and segment smoothing degree calculates, it is equal gray scale will to be met simultaneously
The region of value and smoothness requirements is as next step area-of-interest, and other regions are as interference elimination；
(5) area-of-interest extracted to step (4) counts respectively, obtains oil smoke concentration according to statistical result and assigns
Value.
In step (1), to collected initial pictures carry out frame difference operate to obtain frame difference image be specifically:
Image capture module does a later frame image with previous frame image according to the sequencing of the initial pictures received
Difference obtains the highlighted frame difference image in dynamic area.
Wherein step (2) carries out denoising using opening operation to frame difference image, denoising image is obtained, especially by as follows
Mode carries out: first carrying out etching operation to frame difference image and disconnects narrow company to eliminate noise and the tiny spine in image
It connects；Expansive working is carried out to the image after corrosion again, restores the smoke characteristics in former frame difference image.
Wherein step (3) carries out edge detection to denoising image, and marker motion region is as initial area-of-interest, specifically
Be: the edge of detection frame difference image highlight regions is simultaneously marked, using the region marked as initial area-of-interest.
Wherein step (4) is specifically to carry out gray average, the calculating of segment smoothing degree to each initial area-of-interest, is obtained
Each initial corresponding gray average of area-of-interest and gray scale smoothness, will meet the gray average being calculated simultaneously and are less than
Gray threshold, gray scale smoothness be less than gray scale smoothness threshold initial area-of-interest be used as area-of-interest, will it is other at the beginning of
Beginning area-of-interest is determined as interference region.
Wherein step (5) be specifically, for the area-of-interest that step (4) extracts, by each region of interest area image
In the gray scales of all pixels carry out read group total and obtain the gray value of each region of interest area image, then by each region of interest
The gray value of area image is summed, and oil smoke concentration assignment is obtained.
The target area of imaging device acquisition indicates that any one frame initial pictures are the imaging of corresponding region S with region S.
Initial pictures are made of m*n pixel,
The gray value of the pixel of frame initial pictures A is indicated afterwards with matrix A H, AH={ ahi,j, ahi,jFrame initial graph after representative
As the i-th row, the corresponding gray value of jth column pixel in A, i is the row where pixel, and j is the column where pixel, 1≤i≤m, 1≤j
≤n；The subregion in frame initial pictures A where the i-th row, jth column pixel is AS afterwardsi,j。
The gray value of the pixel of previous frame initial pictures B indicates with matrix B H, BH={ bhi,j, bhi,jRepresent previous frame initial graph
As the i-th row, the corresponding gray value of jth column pixel in B, the subregion in previous frame initial pictures B where the i-th row, jth column pixel is
BSi,j。
The grey scale pixel value of frame difference image D indicates with matrix D H, DH={ dhi,j}={ | ahi,j-bhi,j|, dhi,jIt represents
I-th row, the corresponding gray value of jth column pixel in frame difference image D, the subregion in frame difference image D where the i-th row, jth column pixel
For DSi,j。
In frame difference image, | dhi,j|=0 region is in black；|dhi,j| ≠ 0 region is in be highlighted.
Etching operation wherein is carried out to frame difference image in step (2), is specifically comprised the following steps:
2-11 arbitrarily defines a convolution kernel θ；
Convolution kernel θ and frame difference image are carried out convolution by 2-12；When convolution kernel θ traverses frame difference image, convolution kernel institute is extracted
The pixel grey scale minimum value p of the convolution results and pixel C being overlapped with convolution kernel center in overlay area；
The gray scale of pixel C passes through Matrix C H={ ck,qIndicate, k, q are the row serial number and column serial number of pixel C,
Obtain the convolution results minimum value pixel matrix P obtained in convolution kernel θ traversal frame difference image process, minimum value
The gray scale of pixel matrix P passes through matrix PH={ pk,qIndicate；
The corresponding imparting pixel C of the gray scale of pixel matrix P is obtained corrosion image by 2-13；
Expansive working is carried out to corrosion image in step (2), is specifically comprised the following steps:
2-21 arbitrarily defines a convolution kernel β；
Convolution kernel β and corrosion image are carried out convolution by 2-22；When convolution kernel β traverses corrosion image, convolution kernel institute is extracted
The pixel grey scale maximum value o of the convolution results and pixel R being overlapped with convolution kernel center in overlay area；
The gray scale of pixel R passes through matrix RH={ rl,vIndicate, l, v are the row serial number and column serial number of pixel R,
Obtain the convolution results maximum value pixel matrix O obtained in convolution kernel β traversal corrosion image process, maximum value
The gray scale of pixel matrix O passes through matrix OH={ ol,vIndicate；
The corresponding imparting pixel R of the gray scale of maximum value pixel matrix O is obtained expanding image, obtained expansion by 2-13
Image is to denoise image.
Wherein step (3) carries out as follows:
3-1 defines a filter Y, and filter is t*t matrix, and t is odd number；
3-2 makes filter Y traversal denoising image, calculates filter and go where the central pixel point at each position
It makes an uproar the gray values of other pixels in the gray value and center pixel vertex neighborhood of image, and filter is calculated according to formula (I)
The edge detection value X of central pixel point at each positionz, z is label when filter Y traversal denoises image,
F, g is the matrix serial number of pixel, and 1≤f≤t, 1≤g≤t, e are pixel of the filter at each position
The gray value of the denoising image at place；α is weight coefficient, corresponding with filter location；
3-3, by central pixel point edge detection value X of the filter at each positionzWith center pixel vertex neighborhood its
The gray value of its pixel subtracts each other, and judges whether the absolute value of difference is greater than threshold value Δ；
Statistics is greater than the quantity of threshold value, if quantity is more thanDetermine the central pixel point pair of filter present position
The pixel position for the denoising image answered is marginal point, and is marked；
3-4, complete denoising image of filter traversal, obtains the markd marginal point of institute, obtains preliminary area-of-interest.
T is 3.
It should be noted that the processing method of above-mentioned image capture module is only to propose one kind of processing method, it is right
The method of the image capture module output data of acquisition cooking zone is merely able to all in the processing method of other image capture modules
It can be applied to the kitchen ventilator that can identify pernicious gas in oil smoke of the invention, protection scope of the present invention should all be fallen into.
It should be noted that image capture module of the invention is to be examined using camera to cooking zone oil smoke size
It surveys, as long as can be realized above-mentioned function of the invention all can serve as image capture module of the invention.And calculating of the invention
Module be by temperature output signal, oil smoke output signal, PM2.5 concentration signal, PM10 concentration signal, PM1.0 concentration signal,
PM0.1 concentration signal and PMA concentration signal calculate the polycyclic aromatic hydrocarbon concentration of current cooking zone, which is calculator
Or the module for having computing function can be used as computing module of the invention, the computing module for this type is industrial production
In computing module common knowledge, those skilled in the art is it is to be understood that details are not described herein.
Temperature preferably detects kitchen tools temperature in cooking zone of the invention, or Air Temperature in detection cooking zone
Degree, oil smoke temperature or kitchen range temperature etc., specific embodiment according to the actual situation depending on.The present embodiment has in cooking zone
Detection temperature is kitchen tools temperature.
A kind of kitchen ventilator that can identify kitchen air quality is provided with smoke machine main body and for detecting temperature in cooking zone
The harmful substance detection device of degree, oil smoke size, particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration, has
Evil substance detecting apparatus is electrically connected with smoke machine main body.Harmful substance detection device is according to temperature, oil smoke in the cooking zone of detection
The concentration and volatile organic matter concentration of particulate matter be calculated current more of cooking zone in size, cooking zone oil smoke
Cycloaromatics concentration.
Embodiment 2.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 1, the difference is that: meter
The calculation formula for calculating module is formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module, C is the output data of particulate matter sensory package, CPM10For the output number of PM10 sensor
According to CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
As κ ∈ (0 DEG C, 200 DEG C), C ∈ (0 μ g/m3,3000μg/m3), λ ∈ (0,300), CVOC∈(0mg/m3, 5mg/m3)
When, C(2-3)=70%CPolycyclic aromatic hydrocarbon,C(4)=20%CPolycyclic aromatic hydrocarbon,C(5-6)=10%CPolycyclic aromatic hydrocarbon。
As κ ∈ (200 DEG C, 240 DEG C), C ∈ (3000 μ g/m3,5000μg/m3), λ ∈ (300,500), CVOC∈(5mg/m3,
10mg/m3) when, C(2-3)=60%CPolycyclic aromatic hydrocarbon,C(4)=25%CPolycyclic aromatic hydrocarbon,C(5-6)=15%CPolycyclic aromatic hydrocarbon。
Wherein C(2-3)For the concentration of two ring polycyclic aromatic hydrocarbons and three ring polycyclic aromatic hydrocarbons, C(4)For the concentration of four ring polycyclic aromatic hydrocarbons,
C(5-6)For the concentration of five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Such as when κ is 100 DEG C, C is 1000 μ g/m3, λ 100, CVOCFor 1mg/m3When, respectively by κ, C, CVOCWith λ's
Data value is directly substituted into formula, counts to obtain CPolycyclic aromatic hydrocarbonFor 1106.6 and CPolycyclic aromatic hydrocarbonUnit be pg/m3, i.e., polycyclic virtue in current environment
The concentration of hydrocarbon is 1106.6pg/m3。C(2-3)Concentration be 774.62pg/m3, C(4)Concentration be 221.32pg/m3, C(5-6)It is dense
Degree is 110.66pg/m3。
The kitchen ventilator of the present embodiment can by detection temperature output signal, oil smoke output signal, PM2.5 concentration signal,
PM10 concentration signal, PM1.0 concentration signal, PM0.1 concentration signal, PMA concentration signal and VOC concentration be calculated current
It is more can to calculate two ring polycyclic aromatic hydrocarbons in current environment, three ring polycyclic aromatic hydrocarbons, Fourth Ring for the polycyclic aromatic hydrocarbon concentration of cooking zone
The concentration of cycloaromatics, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 3.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 1, the difference is that: meter
The calculation formula for calculating module is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.01λ1.05+0.0005C1.05+25CVOC 1.05+6*10-5κλC+469.5
C=CPM10+CPM2.5+CPM1.0+CPM0.1+CPMA
... formula (II)；
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, λ
For the output data of image capture module, C is the output data of particulate matter sensory package, CPM10For the output number of PM10 sensor
According to CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
As κ ∈ (0 DEG C, 200 DEG C), C ∈ (0 μ g/m3,3000μg/m3), λ ∈ (0,300), CVOC∈(0mg/m3, 5mg/m3)
When, C(2-3)=70%CPolycyclic aromatic hydrocarbon,C(4)=20%CPolycyclic aromatic hydrocarbon,C(5-6)=10%CPolycyclic aromatic hydrocarbon。
As κ ∈ (200 DEG C, 240 DEG C), C ∈ (3000 μ g/m3,5000μg/m3), λ ∈ (300,500), CVOC∈(5mg/m3,
10mg/m3) when, C(2-3)=60%CPolycyclic aromatic hydrocarbon,C(4)=25%CPolycyclic aromatic hydrocarbon,C(5-6)=15%CPolycyclic aromatic hydrocarbon。
Wherein C(2-3)For the concentration of two ring polycyclic aromatic hydrocarbons and three ring polycyclic aromatic hydrocarbons, C(4)For the concentration of four ring polycyclic aromatic hydrocarbons,
C(5-6)For the concentration of five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Such as when κ is 100 DEG C, C is 1000 μ g/m3, λ 100, CVOCFor 1mg/m3When, respectively by κ, C, CVOCWith λ's
Data value is directly substituted into formula, counts to obtain CPolycyclic aromatic hydrocarbonFor 1101.01 and CPolycyclic aromatic hydrocarbonUnit be pg/m3, i.e., polycyclic in current environment
The concentration of aromatic hydrocarbons is 1101.01pg/m3。C(2-3)Concentration be 770.707pg/m3, C(4)Concentration be 220.202pg/m3,
C(5-6)Concentration be 110.101pg/m3。
The kitchen ventilator of the present embodiment can by detection temperature output signal, oil smoke output signal, PM2.5 concentration signal,
PM10 concentration signal, PM1.0 concentration signal, PM0.1 concentration signal, PMA concentration signal and VOC concentration be calculated current
It is more can to calculate two ring polycyclic aromatic hydrocarbons in current environment, three ring polycyclic aromatic hydrocarbons, Fourth Ring for the polycyclic aromatic hydrocarbon concentration of cooking zone
The concentration of cycloaromatics, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 4.
A kind of kitchen ventilator that can identify kitchen air quality, other features are identical as embodiment 2 or embodiment 3, different
Place is: computing module of the invention carries out the division of polycyclic aromatic hydrocarbon environmental rating according to polycyclic aromatic hydrocarbon concentration.
The present embodiment is to carry out Health Category division according to GBT18883-2 Indoor Air Quality standards, and the present invention can also
To be divided according to other quality standards, such as " environmental quality standards " of GB3059-2012, WTO.The present invention can also root
It is divided according to other preset environmental quality values.
The present embodiment be averaged by benzo [a] pyrene of national regulations limiting concentration and polycyclic aromatic hydrocarbon concentrations versus carry out it is more
Cycloaromatics environmental rating divides.
Work as CPolycyclic aromatic hydrocarbon< CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
Work as CPolycyclic aromatic hydrocarbon≥CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as unhealthy.
Wherein CBenzo [a] pyreneIt is averaged limiting concentration, and C for benzo [a] pyrene of national regulationsBenzo [a] pyrene=1ng/m3。
Compared with embodiment 2 or 3, the present embodiment carries out the division of polycyclic aromatic hydrocarbon environmental rating, energy according to polycyclic aromatic hydrocarbon concentration
Enough air qualities for more intuitively going to judge current cooking environments.
Embodiment 5.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 4, the difference is that: it is logical
Benzo [a] the pyrene limiting concentration that is averaged for crossing polycyclic aromatic hydrocarbon concentration and national regulations is divided by and carries out polycyclic aromatic hydrocarbon environmental rating division,
As shown in formula (III):
As 0≤ε≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As 0.5 < ε≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well.
As 1 < ε≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium.
As 5 < ε≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor.
As 10 < ε, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
Compared with embodiment 2 or 3, the present embodiment carries out the division of polycyclic aromatic hydrocarbon environmental rating, energy according to polycyclic aromatic hydrocarbon concentration
Enough air qualities for more intuitively going to judge current cooking environments.
Embodiment 6.
A kind of kitchen ventilator that can identify kitchen air quality, other features are identical as embodiment 4 or embodiment 5, different
Place is: it is the polycyclic of result progress after being weighted with polycyclic aromatic hydrocarbon concentration with equivalent virulence factor that cycloaromatics environmental rating, which divides,
Aromatic hydrocarbons environment grade classification.
By formula (IV) count polycyclic aromatic hydrocarbon total yield toxic concentration:
Wherein BEQ is the total yield virulence factor of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, 1≤μ≤ξ and μ and ξ
For natural number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.It is different polycyclic
The equivalent virulence factor of aromatic hydrocarbons is as shown in table 1:
Table 1 is the equivalent virulence factor of various polycyclic aromatic hydrocarbons
Compared with embodiment 4 or embodiment 5, this embodiment introduces the equivalent virulence factor of different polycyclic aromatic hydrocarbons, because
It is different for the toxicity for different polycyclic aromatic hydrocarbons, thus harm to the human body is also different.
Embodiment 7.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 6, the difference is that: this
Embodiment is that benzo [a] the pyrene limiting concentration that be averaged of polycyclic aromatic hydrocarbon concentration and total yield virulence factor product and national regulations compares
Carry out the division of polycyclic aromatic hydrocarbon environmental rating；
As BEQ < CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As BEQ >=CBenzo [a] pyreneWhen, then the judgement of polycyclic aromatic hydrocarbon environmental rating is then determined as unhealthy.
Compared with Example 4, this embodiment introduces the equivalent virulence factors of different polycyclic aromatic hydrocarbons, because for different
The toxicity of polycyclic aromatic hydrocarbon is different, thus harm to the human body is also different.
Embodiment 8.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 6, the difference is that: it is more
The total yield toxic concentration of cycloaromatics and benzo [a] pyrene of the national regulations limiting concentration that is averaged are divided by and carry out polycyclic aromatic hydrocarbon environment etc.
Grade divides, as shown in formula (VI):
As 0≤δ≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health.
As 0.5 < δ≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well.
As 1 < δ≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium.
As 5 < δ≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor.
As 10 < δ, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
It should be noted that polycyclic aromatic hydrocarbon environmental rating of the invention can also be divided according to the other values of δ, the present embodiment
Only be to provide a kind of scheme of implementation, in other can only basis polycyclic aromatic hydrocarbon concentration carry out polycyclic aromatic hydrocarbon environmental rating
Division methods also fall into protection scope of the present invention.
Polycyclic aromatic hydrocarbon environmental rating is carried out healthy definite value to divide to obtain polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon。
When polycyclic aromatic hydrocarbon environmental rating is health, then UPolycyclic aromatic hydrocarbonIt is 1.
When polycyclic aromatic hydrocarbon environmental rating is good, then UPolycyclic aromatic hydrocarbonIt is 2.
When polycyclic aromatic hydrocarbon environmental rating is medium, then UPolycyclic aromatic hydrocarbonIt is 3.
When polycyclic aromatic hydrocarbon environmental rating is poor, then UPolycyclic aromatic hydrocarbonIt is 4.
When polycyclic aromatic hydrocarbon environmental rating is serious, then UPolycyclic aromatic hydrocarbonIt is 5.
Can be as noted above it should be noted that polycyclic aromatic hydrocarbon environmental rating of the invention is corresponding, it can also be according to reality
Situation different polycyclic aromatic hydrocarbon environmental rating in border corresponds to different UPolycyclic aromatic hydrocarbonValue, the present embodiment only shows a kind of possibility, for various kinds
Polycyclic aromatic hydrocarbon environmental rating corresponds to UPolycyclic aromatic hydrocarbonValue each falls within protection scope of the present invention.
Compared with Example 5, this embodiment introduces the equivalent virulence factors of different polycyclic aromatic hydrocarbons, because for different
The toxicity of polycyclic aromatic hydrocarbon is different, thus harm to the human body is also different.The present embodiment is carried out according to polycyclic aromatic hydrocarbon environmental rating simultaneously
Healthy definite value divides to obtain polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon。
Embodiment 9.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 8, the difference is that: this
The computing module of invention is according to PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor or PMA sensor
Output data and selected air quality standard carry out air quality index evaluation, as shown in formula (VII)；
Wherein M is current air quality index.
BMHiFor the high-value of selected air quality standard particle concentration limit value corresponding with C.
BMLoFor the low-value for selecting particle concentration limit value corresponding with C in air quality standard.
MHiFor in selected air quality standard with BMHiCorresponding air quality separate index number.
MLoFor in selected air quality standard with BMLoCorresponding air quality separate index number.
The present embodiment is explained according to 2 couples of present invention of table, as follows:
Table 2, air quality index and PM10 and PM2.5 project concentration limit
Such as the currently practical C measuredPM2.5=425 μm/m3, the high-value and low-value of PM2.5 concentration limit are found out,
Then BMHi=500, BMLo=350.BMHiThe corresponding air quality separate index number (IAQI) of value be 500, i.e. MHi=500.BMLo's
Being worth corresponding air quality separate index number (IAQI) is 400, i.e. MLo=400.Then respectively by BMHi、BMLo、MHi、MLoAnd CPM2.5Generation
Enter formula (VII).
Obtain M=475.
It should be noted that this implementation only has selected an air quality standard and CPM2.5Corresponding number, but for different
Air quality standard and CPM10、CPM2.5、CPM1.0、CPM0.1And CPMAAlso within the scope of the present invention.
Air quality index is carried out healthy definite value to divide to obtain particulate matter Health Category UParticulate matter；
As 0≤M≤400, then UParticulate matter=1；
As 400 < M≤600, then UParticulate matter=2；
As 600 < M≤700, then UParticulate matter=3；
As 700 < M≤800, then UParticulate matter=4；
As 900 < M, then UParticulate matter=5.
It should be noted that air quality index of the invention can also be divided according to the other values of M.The present embodiment is only
A kind of scheme of implementation is provided, the PM10 sensor of other bases, PM2.5 sensor, PM1.0 sensor, PM0.1 are passed
The method that the particulate matter Health Category that the output data of sensor and PMA sensor carries out divides also falls into protection model of the invention
It encloses.
It should be noted that the corresponding particulate matter Health Category U of air quality index of the inventionParticulate matterIt can be such as above-mentioned institute
Show, different air quality index can also correspond to different U according to the actual situationParticulate matterValue, the present embodiment only shows one kind can
Can, U is corresponded to for various kinds air quality indexParticulate matterValue each falls within protection scope of the present invention.
Compared with Example 8, embodiment adds the evaluations of air quality index, because particulate matter is to human health
It is harmful.The particulate matter Health Category based on air quality index is also increased simultaneously, it can be to cooking zone environmental evaluation more
Add comprehensively.
Embodiment 9.
A kind of kitchen ventilator that can identify kitchen air quality, other features are same as Example 8, the difference is that: this
The output data of VOC sensor is also carried out healthy definite value and divides to obtain volatile organic matter Health Category by the computing module of invention
UVOC。
Volatile organic matter Health Category U of the inventionVOCThe output data of VOC sensor is specifically subjected to not homotype
The division enclosed, and corresponding healthy definite value is assigned in corresponding range.
Such as 0≤CVOC≤0.4mg/m3When, then UVOC=1；
Work as 0.4mg/m3< CVOC≤0.6mg/m3When, then UVOC=2；
Work as 0.6mg/m3< CVOC≤0.7mg/m3When, then UVOC=3；
Work as 0.7mg/m3< CVOC≤0.7mg/m3When, then UVOC=4；
Work as 0.7mg/m3< CVOCWhen, then UVOC=5.
It should be noted that the healthy definite value division of the output data progress of VOC sensor of the invention can also be according to CVOCIts
He divides value.The present embodiment is only to provide a kind of scheme of implementation, for according to the output datas of other VOC sensors into
Capable volatile organic matter Health Category UVOCMethod also fall into protection scope of the present invention.
Embodiment 10.
A kind of kitchen ventilator that can identify kitchen air quality, as shown in Fig. 2, other features are same as Example 9, difference
Being in has following method to Health Category U calculating in: the present invention:
1, computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterIt is strong with volatile organic matter
Health grade UVOCThe Health Category U that maximum value is current cooking zone is chosen in comparison, as shown in formula (VIII),
U=max (UParticulate matter,UVOC, UPolycyclic aromatic hydrocarbon) formula (VIII).
2, computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterIt is strong with volatile organic matter
Health grade UVOCAdduction obtains the Health Category U of current cooking zone, as shown in formula (Ⅸ),
U=UParticulate matter+UVOC+UPolycyclic aromatic hydrocarbonFormula (Ⅸ).
3, computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter health
Grade UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCMultiplied by volatile organic matter weight because
Sub- QVOCThe Health Category U that maximum value is current cooking zone is chosen in comparison, as shown in formula (Ⅹ),
U=max (UParticulate matter*QParticulate matter,UVOC*QVOC, UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbon) formula (Ⅹ).
4, computing module is by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter health
Grade UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCMultiplied by volatile organic matter weight because
Sub- QVOCIt sums up to obtain the Health Category U of current cooking zone, as shown in formula (Ⅺ),
U=UParticulate matter*QParticulate matter+UVOC*QVOC+UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbonFormula (Ⅺ).
It is specially the first that the Health Category U of the present embodiment, which is calculated,.Such as work as UPolycyclic aromatic hydrocarbon=2, UParticulate matter=3, UVOCWhen=4,
The Health Category U of current cooking zone is 4.Smaller for the value of U to indicate more healthy, the value of U is bigger to indicate more unhealthy.
It should be noted that 4 kinds of methods of the invention can select the first, can also select according to the actual situation according to it
He is three kinds, specific embodiment according to the actual situation depending on.For the Q of the third method of the inventionParticulate matterIt is 0.6, QPolycyclic aromatic hydrocarbonFor
1.2, QVOCIt is 0.6, QPolycyclic aromatic hydrocarbon、QPolycyclic aromatic hydrocarbonAnd QParticulate matterCan be other numerical value, specific embodiment according to the actual situation depending on.
For the Q of fourth method of the present inventionParticulate matterIt is 0.2, QPolycyclic aromatic hydrocarbonIt is 0.6, QVOCIt is 0.2, QPolycyclic aromatic hydrocarbon、QPolycyclic aromatic hydrocarbonAnd QParticulate matterIt can be it
His numerical value, specific embodiment according to the actual situation depending on.
Smoke machine main body is provided with blast velocity control module, cue module and firepower control module, cue module, firepower control mould
Block and blast velocity control module are electrically connected with computing module respectively, and firepower control module is also connect with external stove.
The Health Category that blast velocity control module is sent according to computing module adjusts the wind speed of smoke machine main body.
The Health Category that cue module is sent according to computing module carries out current polycyclic aromatic hydrocarbon environmental rating to user and prompts.
Firepower control module carries out firepower adjusting to external stove according to the Health Category that computing module is sent.
Harmful gas detecting device is additionally provided with the humidity sensor of the air humidity data for detecting current cooking zone
The pressure sensor of device and the barometric information for detecting current cooking zone, humidity sensor and pressure sensor respectively with meter
Calculate module and the electrical connection of smoke machine main body.
Humidity sensor acquires current cooking zone air humidity data and obtains moisture signal and be transmitted to computing module, presses
Force snesor acquires current cooking zone barometric information and obtains pressure signal and be transmitted to computing module, and computing module receives respectively
Moisture signal and pressure signal handle the polycyclic aromatic hydrocarbon concentration that then processing obtains current cooking zone in real time.
Compared with Example 9, the oil smoke function of the present embodiment carries out health etc. to the concentration of the polycyclic aromatic hydrocarbon of current environment
Grade U is divided, while the kitchen ventilator also has blast velocity control module, cue module and firepower control module, and current health grade is certainly
The dynamic firepower for adjusting wind speed and external stove, reduces the polycyclic aromatic hydrocarbon concentration of current environment and particle concentration, reminds simultaneously
User pays attention to protecting.The kitchen ventilator of the present embodiment is able to detect the humidity of current environment and pressure carries out the calculating of computing module
Amendment, to improve the accuracy of polycyclic aromatic hydrocarbon concentration, while obtaining the humidity in current environment and pressure data, also can be right
Environment carries out thoroughly evaluating.
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 (21)
1. a kind of kitchen ventilator that can identify kitchen air quality, it is characterised in that: it is provided with smoke machine main body and for detecting culinary art
The harmful substance detection of temperature, oil smoke size, particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration in region
Device, harmful substance detection device are electrically connected with smoke machine main body.
2. the kitchen ventilator according to claim 1 that can identify kitchen air quality, it is characterised in that: the nuisance quality inspection
Device is surveyed to be provided with for detecting the temperature sensing module of temperature in cooking zone, for detecting in current cooking zone oil smoke
The particulate matter sensory package of grain object concentration, polycyclic aromatic hydrocarbon concentration for calculating current cooking zone computing module, for pair
The image analysis of cooking zone oil smoke simultaneously obtains generating the image capture module of oil smoke size and for detecting current cooking area in real time
The VOC sensor of the volatile organic matter concentration in domain, temperature sensing module, particulate matter sensory package, VOC sensor and image are adopted
Collection module is electrically connected with computing module respectively, temperature sensing module, particulate matter sensory package, VOC sensor, computing module and figure
As acquisition module is electrically connected with smoke machine main body respectively；
Temperature obtains temperature signal and obtained temperature signal is defeated as temperature in temperature sensing module induction cook region
Signal is transmitted to computing module out, and it is dense to obtain particle for particle concentration in the current cooking zone oil smoke of particulate matter sensory package acquisition
Degree signal is simultaneously transmitted to computing module, and the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC concentration
Signal is simultaneously transmitted to computing module, and image capture module acquisition cooking zone oil smoke image obtains oil smoke output signal and is transmitted to
Computing module, computing module receive temperature output signal, oil smoke output signal, VOC concentration signal and Particle Concentration Signals respectively
Then the polycyclic aromatic hydrocarbon concentration for obtaining current cooking zone in real time is handled.
3. the kitchen ventilator according to claim 2 that can identify kitchen air quality, it is characterised in that: the particulate matter sensing
Component includes the PM2.5 for being less than or equal to 2.5 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
Sensor, the PM10 for being less than or equal to 10 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke are sensed
Device, the PM1.0 sensor for being less than or equal to 1.0 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke,
The PM0.1 sensor and use for being less than or equal to 0.1 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
Equivalent diameter is less than or equal to the PMA sensor of 0.05 micron particles object concentration in the current cooking zone oil smoke of detection, and PM10 is passed
Sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor and PMA sensor are sensed with temperature sensing module, VOC respectively
Device, computing module, image capture module and the electrical connection of smoke machine main body；
Equivalent diameter obtains PM10 less than or equal to 10 micron particles object concentration in the current cooking zone oil smoke of PM10 sensor acquisition
Concentration signal is simultaneously transmitted to computing module,
PM2.5 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 2.5 micron particles object concentration
PM2.5 concentration signal is simultaneously transmitted to computing module,
PM1.0 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 1.0 micron particles object concentration
PM1.0 concentration signal is simultaneously transmitted to computing module,
PM0.1 sensor acquires equivalent diameter in current cooking zone oil smoke and obtains less than or equal to 0.1 micron particles object concentration
PM0.1 concentration signal is simultaneously transmitted to computing module,
Equivalent diameter obtains PMA less than or equal to 0.05 micron particles object concentration in the current cooking zone oil smoke of PMA sensor acquisition
Concentration signal is simultaneously transmitted to computing module.
4. the kitchen ventilator according to claim 3 that can identify kitchen air quality, it is characterised in that: the computing module is
It constructs to obtain about temperature, volatile organic matter concentration, oil smoke size and particle concentration in cooking zone with mathematical modeling
With in oil smoke in pernicious gas the mathematical relationship of polycyclic aromatic hydrocarbon concentration computing module.
5. the kitchen ventilator according to claim 4 that can identify kitchen air quality, it is characterised in that: the computing module is
Lienar for computing module, NONLINEAR CALCULATION module, exponential type computing module, power type computing module, logarithmic computing module, class mind
Through network query function module, machine learning computing module or deep learning computing module.
6. the kitchen ventilator according to claim 4 that can identify kitchen air quality, it is characterised in that: the computing module
Calculation formula is formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, and λ is figure
As the output data of acquisition module, C is the output data of particulate matter sensory package, CPM10For the output data of PM10 sensor,
CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
7. the kitchen ventilator according to claim 4 that can identify kitchen air quality, it is characterised in that: the computing module
Calculation formula is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.01λ1.05+0.0005C1.05+25CVOC 1.05+6*10-5κλC+469.5
C=CPM10+CPM2.5+CPM1.0+CPM0.1+CPMA
... formula (II)；
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, κ is the output data of temperature sensing module, and λ is figure
As the output data of acquisition module, C is the output data of particulate matter sensory package, CPM10For the output data of PM10 sensor,
CPM2.5For the output data of PM2.5 sensor, CPM1.0For the output data of PM1.0 sensor, CPM0.1For PM0.1 sensor
Output data, CPMAFor the output data of PMA sensor, CVOCFor the output data of VOC sensor.
8. the kitchen ventilator according to claim 6 that can identify kitchen air quality, it is characterised in that: the computing module is also
The division of polycyclic aromatic hydrocarbon environmental rating is carried out according to polycyclic aromatic hydrocarbon concentration.
9. the kitchen ventilator according to claim 8 that can identify kitchen air quality, which is characterized in that pass through national regulations
Be averaged limiting concentration and polycyclic aromatic hydrocarbon concentrations versus of benzo [a] pyrene carries out the division of polycyclic aromatic hydrocarbon environmental rating；
Work as CPolycyclic aromatic hydrocarbon: < CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health, works as CPolycyclic aromatic hydrocarbon: >=CBenzo [a]It is when pyrene, then more
Cycloaromatics environmental rating is determined as unhealthy；
Wherein CBenzo [a] pyreneIt is averaged limiting concentration, and C for benzo [a] pyrene of national regulationsBenzo [a] pyrene=1ng/m3。
10. the kitchen ventilator according to claim 8 that can identify kitchen air quality, which is characterized in that pass through polycyclic aromatic hydrocarbon
Benzo [a] pyrene of the concentration and national regulations limiting concentration that is averaged is divided by and carries out polycyclic aromatic hydrocarbon environmental rating division, such as formula (III) institute
Show:
As 0≤ε≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health,
As 0.5 < ε≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well,
As 1 < ε≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium,
As 5 < ε≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor,
As 10 < ε, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
11. the kitchen ventilator according to claim 8 that can identify kitchen air quality, it is characterised in that: the cyclophane hydrocarbon ring
Border grade classification is divided with the polycyclic aromatic hydrocarbon environmental rating that result carries out after polycyclic aromatic hydrocarbon concentration and the weighting of equivalent virulence factor.
12. the kitchen ventilator according to claim 11 that can identify kitchen air quality, it is characterised in that: it is counted by formula (IV)
Obtain the total yield toxic concentration of polycyclic aromatic hydrocarbon:
Wherein BEQ is the total yield virulence factor of polycyclic aromatic hydrocarbon, and μ is the label of polycyclic aromatic hydrocarbon type, and 1≤μ≤ξ and μ and ξ are certainly
So number, beqμFor the equivalent toxic concentration of μ kind polycyclic aromatic hydrocarbon, beqμIt is counted by formula (V),
beqμ=Cμ*TEFμFormula (V),
CμFor the concentration of μ kind polycyclic aromatic hydrocarbon, TEFμFor the corresponding equivalent virulence factor of μ kind polycyclic aromatic hydrocarbon.
13. the kitchen ventilator according to claim 12 that can identify kitchen air quality, it is characterised in that: pass through polycyclic aromatic hydrocarbon
Benzo [a] pyrene of concentration and equivalent virulence factor product and national regulations be averaged limiting concentration comparison progress polycyclic aromatic hydrocarbon environment etc.
Grade divides；
As BEQ < CBenzo [a] pyreneWhen, then polycyclic aromatic hydrocarbon environmental rating is determined as health,
As BEQ >=CBenzo [a] pyreneWhen, then the judgement of polycyclic aromatic hydrocarbon environmental rating is then determined as unhealthy.
14. the kitchen ventilator according to claim 12 that can identify kitchen air quality, it is characterised in that: pass through polycyclic aromatic hydrocarbon
Benzo [a] pyrene of the concentration and equivalent virulence factor product and national regulations limiting concentration that is averaged is divided by and carries out polycyclic aromatic hydrocarbon environment etc.
Grade divides, as shown in formula (VI):
As 0≤δ≤0.5, then polycyclic aromatic hydrocarbon environmental rating is determined as health,
As 0.5 < δ≤1, then polycyclic aromatic hydrocarbon environmental rating is determined as well,
As 1 < δ≤5, then polycyclic aromatic hydrocarbon environmental rating is determined as medium,
As 5 < δ≤10, then polycyclic aromatic hydrocarbon environmental rating is determined as poor,
As 10 < δ, then polycyclic aromatic hydrocarbon environmental rating is determined as seriously.
15. can identify the kitchen ventilator of kitchen air quality according to claim 9 to 14 any one, it is characterised in that:
Polycyclic aromatic hydrocarbon environmental rating is also carried out healthy definite value and divides to obtain polycyclic aromatic hydrocarbon Health Category U by the computing modulePolycyclic aromatic hydrocarbon。
16. the kitchen ventilator according to claim 15 that can identify kitchen air quality, it is characterised in that: the computing module
According to the output data and choosing of PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor or PMA sensor
Fixed air quality standard carries out air quality index evaluation, as shown in formula (VII):
Wherein M is current air quality index,
BMHiHigh-value for the air quality standard particle concentration limit value corresponding with C selected,
BMLoFor select air quality standard in particle concentration limit value corresponding with C low-value,
MHiFor in selected air quality standard with BMHiCorresponding air quality separate index number,
MLoFor in selected air quality standard with BMLoCorresponding air quality separate index number.
17. the kitchen ventilator according to claim 16 that can identify kitchen air quality, it is characterised in that: the computing module
Air quality index is also carried out healthy definite value to divide to obtain particulate matter Health Category UParticulate matter。
18. the kitchen ventilator according to claim 17 that can identify kitchen air quality, it is characterised in that: the computing module
The output data of VOC sensor is also carried out healthy definite value to divide to obtain volatile organic matter Health Category UVOC。
19. the kitchen ventilator according to claim 18 that can identify kitchen air quality, it is characterised in that: the computing module
Also by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterWith volatile organic matter Health Category UVOCComparison, choosing
It is maximized the Health Category U for current cooking zone, as shown in formula (VIII),
U=max (UParticulate matter,UVOC, UPolycyclic aromatic hydrocarbon) formula (VIII)；Or
The computing module is also by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbon, particulate matter Health Category UParticulate matterIt is strong with volatile organic matter
Health grade UVOCAdduction obtains the Health Category U of current cooking zone, as shown in formula (Ⅸ),
U=UParticulate matter+UVOC+UPolycyclic aromatic hydrocarbonFormula (Ⅸ)；Or
The computing module is also by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter health
Grade UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCMultiplied by volatile organic matter weight because
Sub- QVOCThe Health Category U that maximum value is current cooking zone is chosen in comparison, as shown in formula (Ⅹ),
U=max (UParticulate matter*QParticulate matter,UVOC*QVOC, UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbon) formula (Ⅹ)；Or
The computing module is also by polycyclic aromatic hydrocarbon Health Category UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter health
Grade UParticulate matterMultiplied by particulate matter weight factor QParticulate matterWith volatile organic matter Health Category UVOCMultiplied by volatile organic matter weight because
Sub- QVOCIt sums up to obtain the Health Category U of current cooking zone, as shown in formula (Ⅺ),
U=UParticulate matter*QParticulate matter+UVOC*QVOC+UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbonFormula (Ⅺ).
20. the kitchen ventilator according to claim 19 that can identify kitchen air quality, it is characterised in that: the smoke machine main body
It is provided with blast velocity control module, cue module and firepower control module, cue module, firepower control module and blast velocity control module
It is electrically connected respectively with computing module, firepower control module is also connect with external stove；
The Health Category that the blast velocity control module is sent according to computing module adjusts the wind speed of smoke machine main body；
The Health Category that the cue module is sent according to computing module carries out current polycyclic aromatic hydrocarbon environmental rating to user and prompts；
The firepower control module carries out firepower adjusting to external stove according to the Health Category that computing module is sent.
21. the kitchen ventilator according to claim 20 that can identify kitchen air quality, it is characterised in that: the pernicious gas
Detection device is additionally provided with the humidity sensor of the air humidity data for detecting current cooking zone and for detecting currently
The pressure sensor of the barometric information of cooking zone, humidity sensor and pressure sensor respectively with computing module and smoke machine main body
Electrical connection；
Humidity sensor acquires current cooking zone air humidity data and obtains moisture signal and be transmitted to computing module, and pressure passes
Sensor acquires current cooking zone barometric information and obtains pressure signal and be transmitted to computing module, and computing module receives humidity respectively
Signal and pressure signal handle the polycyclic aromatic hydrocarbon concentration that then processing obtains current cooking zone in real time.
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