CN109654559A - A kind of healthy cooking system that can identify steam and oil smoke - Google Patents
A kind of healthy cooking system that can identify steam and oil smoke Download PDFInfo
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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
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Abstract
A kind of healthy cooking system that can identify steam and oil smoke, be provided with image capture module, the temperature sensing module for detecting cookware temperature, the harmful substance detection device for detecting the concentration of narmful substance in cooking zone and the kitchen ventilator for obtaining generating smog size to the image analysis of cooking zone oil smoke and in real time, image capture module respectively with temperature sensing module, harmful substance detection device and oil smoke mechatronics.The health cooking system can judge the smog in current cooking environments whether steam or oil smoke.Start kitchen ventilator when being steam, when more than oil smoke threshold value and drain steam, when being starting harmful substance detection device for oil smoke, harmful substance detection device detection concentration of narmful substance simultaneously carries out Health Category division.Kitchen ventilator and kitchen range work according to Health Category, accelerate to reduce the concentration of narmful substance in current environment, ensure the health of user.
Description
Technical field
The present invention relates to cooking equipment field, in particular to a kind of healthy cooking system that can identify steam and oil smoke.
Background technique
In the modern life, many families can generate a large amount of smog in cooking.Including in smog is steam and oil smoke.It grinds
Study carefully and show cooking fume complicated component, there is certain toxicity on inhalation, immunotoxicity and mutagenicity, exists to human health
Certain harm.Contain multiple harmful substances in soot gas, such as multiring aromatic hydrocarbon, particulate matter and waving property organic material.It is existing
Have technology kitchen ventilator can not steam and oil smoke in the current cooking environments of automatic identification, can not identify the nocuousness in oil smoke
Material concentration greatly limits the intelligent development of kitchen ventilator.
Therefore in view of the shortcomings of the prior art, to provide a kind of healthy cooking system that can identify steam and oil smoke existing to solve
Technical deficiency is 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 the strong of steam and oil smoke
Health cooking system.This can identify the steam and oil smoke before the healthy cooking system of steam and oil smoke can be distinguished in cooking environments, and
The concentration of narmful substance in oil smoke can be detected.
Above-mentioned purpose of the invention is realized by following technical measures:
A kind of healthy cooking system that can identify steam and oil smoke is provided, is provided with for cooking zone oil smoke image point
Analyse and obtain in real time the generation image capture module of smog size, the temperature sensing module for detecting cookware temperature, for examining
The harmful substance detection device and kitchen ventilator of the concentration of narmful substance in cooking zone are surveyed, image capture module is passed with temperature respectively
Feel module, harmful substance detection device and oil smoke mechatronics.
Temperature sensing module induction cookware temperature obtains temperature signal and exports obtained temperature signal as temperature
Signal is transmitted to image capture module, and image capture module acquisition cooking zone oil smoke image analysis simultaneously obtains generating smog in real time
Size obtains oil smoke output signal, and oil smoke output signal is carried out steam with temperature output signal and sentenced with oil smoke by image capture module
It is disconnected.
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is less than or equal to temperature threshold,
Then it is determined as that steam, image capture module obtain processing signal and is sent to kitchen ventilator, kitchen ventilator receives processing signal and carries out
Wind-force is adjusted.
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is greater than temperature threshold, then determine
For oil smoke, temperature output signal and oil smoke output signal are sent to harmful substance detection device, nuisance by image capture module
Quality detecting device receives temperature output signal and oil smoke output signal and carries out harmful substance detection.
When oil smoke output signal is less than oil smoke threshold value, and temperature output signal is less than or equal to temperature threshold, image is adopted
Collection module is not dealt with.
When oil smoke output signal is less than oil smoke threshold value, and temperature output signal is greater than temperature threshold, image capture module
It does not deal with.
Preferably, above-mentioned oil smoke threshold value is 35~45.
Preferably, above-mentioned temperature threshold is 98 DEG C~102 DEG C.
It is further preferred that above-mentioned oil smoke threshold value is 40.
It is further preferred that above-mentioned temperature threshold is 100 DEG C.
Output data in the oil smoke output signal of image capture module is defined as λ ' and λ ' >=0, temperature sensing module
Temperature output signal in output data be defined as κ.
When current season is spring, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', revised λ is made
For the output data of new image capture module.
When current season is autumn, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', revised λ is made
For the output data of new image capture module.
When current season is summer, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and
Using revised λ as the output data of new image capture module.
When current season is winter, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and
Using revised λ as the output data of new image capture module.
Preferably, above-mentioned harmful substance detection device is provided with the particle analyte detection for detecting cooking zone granule density
Component, the VOC sensor by detecting volatile organic matter and based on the polycyclic aromatic hydrocarbon concentration for calculating current cooking zone
Calculate module, computing module respectively with image capture module, particulate matter detection components, VOC sensor and oil smoke mechatronics.
Particle concentration obtains particle concentration signal and sends in particulate matter sensors component detection cooking zone oil smoke
To computing module, the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC concentration signal and is transmitted to
Computing module, computing module receive particle concentration signal, VOC concentration signal, oil smoke output signal and temperature output letter respectively
Number then processing obtains the polycyclic aromatic hydrocarbon concentration of current cooking zone in real time.
Preferably, above-mentioned computing module be construct to obtain with mathematical modeling about temperature, smog size, particle concentration and
The computing module of the mathematical relationship of volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration.
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),
CPolycyclic aromatic hydrocarbon+ 0.01 λ+0.0005C+25C of=0.05 κVOC+6*10-5κ λ C+475.1 formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, C is the output number of particulate matter sensory package
According to 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*10-5κ λ C+469.5 formula (II),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, C is the output number of particulate matter sensory package
According to CVOCFor the output data of VOC sensor.
Preferably, above-mentioned particulate matter detection components are provided for detecting equivalent diameter in current cooking zone oil smoke and are less than
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
At least one of PMA sensor of object concentration.
The healthy cooking system that can identify steam and oil smoke of the invention, also sets up stove, stove is electrically connected with computing module
It connects.
Preferably, above-mentioned computing module be can be according to particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration
Carry out the computing module of Health Category division.
Computing module is carried out according to particle concentration, volatile organic matter concentration and the polycyclic aromatic hydrocarbon concentration in current environment
Health Category divides to obtain Health Category signal, and Health Category signal is sent to kitchen ventilator and stove, kitchen ventilator by computing module
It receives Health Category signal and carries out wind-force adjusting, stove receives Health Category signal and carries out firepower adjusting.
Preferably, above-mentioned temperature sensing module is temperature sensor.
Temperature sensor in normal work, is arrived ground by the cookware used in kitchen ventilator, stove, hearth and the culinary art
Vertical height is spent surely for Ht, and 0≤Ht≤3m.The center of kitchen ventilator is defined as X0.By temperature sensor and X0 it is horizontal away from
From being defined as Xt, and 0≤Xt≤2m.
Preferably, above-mentioned temperature sensor is invasive temperature sensor.
The temperature sensor is to be assemblied in the external cookware used in cooking；Or
The temperature sensor is the cookware frame for being assemblied in stove；Or
The temperature sensor is to be assemblied in external hearth.
Preferably, above-mentioned temperature sensor is the non-invasive temperature sensor far from hearth, cookware and stove.
It is θ, and 0 ° of 360 ° of < θ <, the central axis and horizontal direction of temperature sensor by the perspective definition of temperature sensor
Angle be defined as β, and 0 ° of β≤90 ° <.
The coincidence face of the projection surface of temperature sensor and hearth is defined as P, it is fixed apart from maximum point with X0 within the scope of P
Justice is Pf, is defined as Pn apart from the smallest point with X0 within the scope of P, is Lp, and Lp > 0 by the distance definition of Pf and Pn.
Cookware used in culinary art is defined as P ' in the projection surface of hearth along temperature sensor detection direction, and P ' includes
Inside P.
When β=90 °, the value of Ht is obtained by formula (III),
Ht=Lp/ [2*tan (θ/2)] formula (III)；
When β ≠ 90 °, the value of Ht is obtained by formula (IV),
Ht=Lp/ [2*tan (90 ° of-β-θ/2)] formula (IV).
A kind of healthy cooking system that can identify steam and oil smoke of the invention, is provided with for cooking zone oil smoke figure
As analyzing and obtaining in real time to generate the image capture module of smog size, the temperature sensing module for detecting cookware temperature, use
In detection cooking zone in concentration of narmful substance harmful substance detection device and kitchen ventilator, image capture module respectively with temperature
Spend sensing module, harmful substance detection device and oil smoke mechatronics.The health cooking system can judge in current cooking environments
Smog whether steam or oil smoke.Start kitchen ventilator when being steam, when more than oil smoke threshold value and drain steam, when being for oil smoke
Start harmful substance detection device, harmful substance detection device detection concentration of narmful substance simultaneously carries out Health Category division.Oil smoke
Machine and kitchen range work according to Health Category, accelerate to reduce the concentration of narmful substance in current environment, ensure the body of user
Health.
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 healthy cooking system that can identify steam and oil smoke of embodiment 1.
Fig. 2 is a kind of workflow schematic diagram of healthy cooking system that can identify steam and oil smoke of embodiment 5.
Fig. 3 be embodiment 6 a kind of kitchen ventilator with temperature sensor and culinary art used in cookware, stove and hearth fill
With signal.
Fig. 4 is cookware used in the projection surface of temperature sensor and the coincidence face P of hearth and culinary art along temperature sensor
Relation schematic diagram of the detection direction in the projection surface P ' of hearth.
Fig. 5 is the view angle theta schematic diagram of temperature sensor.
Fig. 6 is the central axis of temperature sensor and the angle β schematic diagram of horizontal direction.
Wherein Fig. 1 includes into Fig. 6:
Kitchen ventilator 1, temperature sensor 2, culinary art used in cookware 3, stove 4, hearth 5.
Specific embodiment
Technical solution of the present invention is described further with the following Examples.
Embodiment 1.
A kind of healthy cooking system that can identify steam and oil smoke, as shown in Figure 1, being provided with for cooking zone oil smoke
Image analysis and obtaining in real time generate the image capture module of smog size, the temperature sensing module for detecting cookware temperature,
For detecting the harmful substance detection device and kitchen ventilator 1 of the concentration of narmful substance in cooking zone, image capture module difference
It is electrically connected with temperature sensing module, harmful substance detection device and kitchen ventilator 1.
Temperature sensing module induction cookware temperature obtains temperature signal and exports obtained temperature signal as temperature
Signal is transmitted to image capture module, and image capture module acquisition cooking zone oil smoke image analysis simultaneously obtains generating smog in real time
Size obtains oil smoke output signal, and oil smoke output signal is carried out steam with temperature output signal and sentenced with oil smoke by image capture module
It is disconnected.
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is less than or equal to temperature threshold,
Then it is determined as that steam, image capture module obtain processing signal and is sent to kitchen ventilator 1, kitchen ventilator 1 receives processing signal and goes forward side by side
Row wind-force is adjusted.
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is greater than temperature threshold, then determine
For oil smoke, temperature output signal and oil smoke output signal are sent to harmful substance detection device, nuisance by image capture module
Quality detecting device receives temperature output signal and oil smoke output signal and carries out harmful substance detection.
It should be noted that the present invention is less than oil smoke threshold value for oil smoke output signal, and temperature output signal is less than or waits
It is less than oil smoke threshold value in temperature threshold or oil smoke output signal, and temperature output signal is not made greater than the case where temperature threshold
Processing.
First distinguish steam and the purpose of oil smoke of the invention is that harmful substance detection device can detecte when for steam
Evil material concentration, to reduce the workload of harmful substance detection device.
Oil smoke threshold value of the invention is 35~45, and temperature threshold is 98 DEG C~102 DEG C.The oil smoke threshold value of the present embodiment is preferred
It is 40, temperature threshold is preferably 100 DEG C.
It should be noted that the value of oil smoke threshold value of the invention can be with 40, or any number in 35~45.And it is warm
Spending threshold value can be with 100 DEG C, or any other temperature of 98 DEG C~102 DEG C of ranges, specific value according to the actual situation and
It is fixed.
Output data in the oil smoke output signal of image capture module is defined as λ ' and λ ' >=0, temperature sensing module
Temperature output signal in output data be defined as κ.
When current season is spring, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', revised λ is made
For the output data of new image capture module.
When current season is autumn, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', revised λ is made
For the output data of new image capture module.
When current season is summer, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and
Using revised λ as the output data of new image capture module.
When current season is winter, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and
Using revised λ as the output data of new image capture module.
The present invention it is modified to the carry out oil smoke in winter and summer the reason is that, because phase can be generated in same cook
Same oil smoke amount, but small cigarette can be visually shown when summer, and opium can be visually shown when winter.So to winter and
It, can be more accurate after summer modifies.
Such as be currently spring, the output data of temperature sensing module is 100, and the output data of temperature sensing module is
It is 100 DEG C that 100 DEG C, i.e. λ ' 100, which are κ, that is, is determined as steam.Image capture module believes temperature output signal and oil smoke output
It number is sent to harmful substance detection device, harmful substance detection device receives temperature output signal and oil smoke output signal and carries out
Harmful substance detection.
If being currently summer, the output data of temperature sensing module is 35, and the output data of temperature sensing module is 110
DEG C, it needs to be modified λ ', modified λ is 45, that is, is determined as oil smoke.Image capture module is by temperature output signal and oil
Cigarette output signal is sent to harmful substance detection device, and harmful substance detection device receives temperature output signal and oil smoke output letter
Number and carry out harmful substance detection.
If being currently autumn, the output data of temperature sensing module is 45, and the output data of temperature sensing module is 90
DEG C, i.e. the revised λ of λ ' is 45, that is, is determined as steam.Image capture module obtains processing signal and is sent to kitchen ventilator 1, oil
Smoke machine 1 receives processing signal and carries out wind-force adjusting.
Harmful substance detection device is provided with particulate matter detection components for detecting cooking zone granule density, for examining
The VOC sensor of volatile organic matter and the computing module of the polycyclic aromatic hydrocarbon concentration for calculating current cooking zone are surveyed, is calculated
Module is electrically connected with image capture module, particulate matter detection components, VOC sensor and kitchen ventilator 1 respectively.
Particle concentration obtains particle concentration signal and sends in particulate matter sensors component detection cooking zone oil smoke
To computing module, the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC concentration signal and is transmitted to
Computing module, computing module receive particle concentration signal, VOC concentration signal, oil smoke output signal and temperature output letter respectively
Number then processing obtains the polycyclic aromatic hydrocarbon concentration of current cooking zone in real time.
Computing module is organic about temperature, smog size, particle concentration and volatility to construct to obtain with mathematical modeling
The computing module of the mathematical relationship of object concentration and polycyclic aromatic hydrocarbon concentration.
Computing module of the invention is obtained by mathematical modeling, and mathematical modeling is to collect different temperatures, smog by experiment
The mathematical relationship of size, particle concentration and volatile organic matter concentration and pernicious gas polycyclic aromatic hydrocarbon concentration.According to different
Experiment condition carry out sample detecting obtain variety classes polycyclic aromatic hydrocarbon concentration carry out analysis sort out obtain mathematical model, to calculate
Module can be judged currently not according to the testing conditions of temperature, smog size, particle concentration and volatile organic matter concentration
With type 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.
Image capture module acquires the case where oil smoke is generated in cooking process in real time, specially acquires corresponding region in real time
Picture simultaneously handles current kitchen fume concentration, and data are transmitted to computing module.
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, the pixel institute that 1≤f≤t, 1≤g≤t, e are filter at each position
Denoising image gray value；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 healthy cooking system that can identify steam and 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 smog 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 is to calculate the polycyclic of current cooking zone by temperature, smog size, particle concentration and volatile organic matter densimeter
Density of aromatic hydrocarbon, which is that calculator or the module for having computing function can be used as computing module of the invention, right
In this type computing module be industrial production in computing module common knowledge, those skilled in the art it is to be understood that
Details are not described herein.
This can identify the healthy cooking system of steam and oil smoke, be provided with for cooking zone oil smoke image analysis and real
When obtain generating the image capture module of smog size, the temperature sensing module for detecting cookware temperature, for detecting culinary art
The harmful substance detection device and kitchen ventilator 1 of concentration of narmful substance in region, image capture module respectively with temperature sensing mould
Block, harmful substance detection device and kitchen ventilator 1 are electrically connected.The health cooking system can judge that the smog in current cooking environments is
No steam or oil smoke.When being steam, when more than oil smoke threshold value start kitchen ventilator 1 drain steam, when for oil smoke be start have
Evil substance detecting apparatus, harmful substance detection device detect concentration of narmful substance.
Embodiment 2.
A kind of healthy cooking system that can identify steam and oil smoke, other features are same as Example 1, and difference exists
In: the calculation formula of computing module is formula (I),
CPolycyclic aromatic hydrocarbon+ 0.01 λ+0.0005C+25C of=0.05 κVOC+6*10-5κ λ C+475.1 formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, C is the output number of particulate matter sensory package
According to 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, 5000 μ g/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 healthy cooking system of the present embodiment can have by detection temperature, smog size, particle concentration and volatility
Machine object concentration carries out the polycyclic aromatic hydrocarbon concentration that current cooking zone is calculated, and two rings that can be calculated in current environment are polycyclic
The concentration of aromatic hydrocarbons, three ring polycyclic aromatic hydrocarbons, four ring polycyclic aromatic hydrocarbons, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 3.
A kind of healthy cooking system that can identify steam and oil smoke, other features are same as Example 1, and difference exists
In: the calculation formula of computing module is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.01λ1.05+0.0005C1.05+25CVOC 1.05+6*10-5κ λ C+469.5 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.
As κ ∈ (0 DEG C, 200 DEG C), C ∈ (0 μ g/m3, 3000 μ g/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, 5000 μ g/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 healthy cooking system of the present embodiment can have by detection temperature, smog size, particle concentration and volatility
Machine object concentration carries out the polycyclic aromatic hydrocarbon concentration that current cooking zone is calculated, and two rings that can be calculated in current environment are polycyclic
The concentration of aromatic hydrocarbons, three ring polycyclic aromatic hydrocarbons, four ring polycyclic aromatic hydrocarbons, five ring polycyclic aromatic hydrocarbons and six ring polycyclic aromatic hydrocarbons.
Embodiment 4.
A kind of healthy cooking system that can identify steam and oil smoke, other features are identical as embodiment 2 or embodiment 3,
The difference is that: it is small that particulate matter detection components of the invention are provided for detecting equivalent diameter in current cooking zone oil smoke
In being equal to the PM2.5 sensor of 2.5 micron particles object concentration, be less than etc. for detecting in current cooking zone oil smoke equivalent diameter
It is less than or equal to 1.0 in the PM10 sensor of 10 micron particles object concentration, for detecting equivalent diameter in current cooking zone oil smoke
The PM1.0 sensor of micron particles 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 particle concentration and it is less than or equal to 0.05 micron for detecting in current cooking zone oil smoke equivalent diameter
At least one of the PMA sensor of grain object concentration.
The specific particulate matter detection components of the present embodiment include PM2.5 sensor, PM10 sensor, PM1.0 sensor,
PM0.1 sensor and PMA sensor.PM2.5 sensor, PM10 sensor, PM1.0 sensor, PM0.1 sensor and PMA are passed
Sensor is all electrically connected with computing module.
And the output data C of particulate matter sensory package is PM2.5 sensor, PM10 sensor, PM1.0 sensor, PM0.1
The summation of the output data of sensor and PMA sensor.That is the particulate matter of PM2.5, PM10, PM1.0, PM0.1 and PMA
The summation of concentration.
It should be noted that particulate matter detection components of the invention can pass for PM2.5 sensor, PM10 sensor, PM1.0
Sensor, PM0.1 sensor and PMA sensor, can also be with the sensor any one or multiple combinations, specific embodiment party
Formula according to the actual situation depending on.
The present embodiment 2 or 3 is compared, the particulate matter detection components of the present embodiment can detecte the PM2.5 of current cooking zone,
The particle concentration of PM10, PM1.0, PM0.1 and PMA.
Embodiment 5.
A kind of healthy cooking system that can identify steam and oil smoke, as shown in Fig. 2, other features are same as Example 4, no
Be with place: healthy cooking system of the invention also sets up stove 4, and stove 4 is electrically connected with computing module.
Computing module is that can carry out Health Category according to particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration
The computing module of division.
Computing module is carried out according to particle concentration, volatile organic matter concentration and the polycyclic aromatic hydrocarbon concentration in current environment
Health Category divides to obtain Health Category signal, and Health Category signal is sent to kitchen ventilator 1 and stove 4, oil smoke by computing module
Machine 1 receives Health Category signal and carries out wind-force adjusting, and stove 4 receives Health Category signal and carries out firepower adjusting.
Health Category division methods of the present invention are as follows:
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 polycyclic aromatic hydrocarbon concentration and national regulations limiting concentration be divided by carry out it is more
Cycloaromatics grade classification, such as following formula:
As 0≤ε≤0.5, then polycyclic aromatic hydrocarbon grade is determined as health.
As 0.5 < ε≤1, then polycyclic aromatic hydrocarbon grade is determined as well.
As 1 < ε≤5, then polycyclic aromatic hydrocarbon grade is determined as medium.
As 5 < ε≤10, then polycyclic aromatic hydrocarbon grade is determined as poor.
As 10 < ε, then polycyclic aromatic hydrocarbon grade is determined as seriously.
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 should be noted that polycyclic aromatic hydrocarbon grade of the invention can also be divided according to the other values of ε, the present embodiment is only
A kind of scheme of implementation is provided, the polycyclic aromatic hydrocarbon rank division method carried out for the polycyclic aromatic hydrocarbon concentration of other bases is also fallen into
Protection scope of the present invention.
Polycyclic aromatic hydrocarbon grade is carried out healthy definite value to divide to obtain polycyclic aromatic hydrocarbon grade UPolycyclic aromatic hydrocarbon。
When polycyclic aromatic hydrocarbon grade is health, then UPolycyclic aromatic hydrocarbonIt is 1.
When polycyclic aromatic hydrocarbon grade is good, then UPolycyclic aromatic hydrocarbonIt is 2.
When polycyclic aromatic hydrocarbon grade is medium, then UPolycyclic aromatic hydrocarbonIt is 3.
When polycyclic aromatic hydrocarbon grade is poor, then UPolycyclic aromatic hydrocarbonIt is 4.
When polycyclic aromatic hydrocarbon grade is serious, then UPolycyclic aromatic hydrocarbonIt is 5.
Can be as noted above it should be noted that polycyclic aromatic hydrocarbon grade of the invention is corresponding, it can also be according to practical feelings
The different polycyclic aromatic hydrocarbon grade of condition corresponds to different UPolycyclic aromatic hydrocarbonValue, the present embodiment only shows a kind of possibility, for various kinds polycyclic aromatic hydrocarbon
Grade corresponds to UPolycyclic aromatic hydrocarbonValue each falls within protection scope of the present invention.
Computing module of the invention according to PM10 sensor, PM2.5 sensor, PM1.0 sensor, PM0.1 sensor or
The output data of person's PMA sensor and selected air quality standard carry out air quality index evaluation, such as following formula；
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 1 couple of present invention of table, as follows:
Table 1, 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 following formula.
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 grade 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 for the particulate matter grade classification that the output data of sensor and PMA sensor carries out also falls into protection scope of the present invention.
It should be noted that the corresponding particulate matter grade U of air quality index of the inventionParticulate matterCan be as noted above,
Different air quality index it can correspond to different U according to the actual situationParticulate matterValue, the present embodiment only shows a kind of possibility, right
U is corresponded in various kinds air quality indexParticulate matterValue each falls within protection scope of the present invention.
Computing module of the invention also by the output data of VOC sensor carry out healthy definite value divide to obtain volatility it is organic
Object grade UVOC。
Volatile organic matter grade U of the inventionVOCThe output data of VOC sensor is specifically subjected to different range
It divides, and assigns corresponding healthy definite value 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.
The volatile organic matter grade U of the present embodimentVOC is based in GBT18883-2002 Indoor Air Quality standards
The small hourly value in the 8 of TVOC is 0.6mg/m3And divided.It is of the invention based on other air quality standards or others
Protection scope of the present invention will fallen by dividing range.
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 grade UVOCMethod also fall into protection scope of the present invention.
The present invention has following method to Health Category U calculating:
1, computing module is by polycyclic aromatic hydrocarbon grade UPolycyclic aromatic hydrocarbon, particulate matter grade UParticulate matterWith volatile organic matter grade UVOCIt is right
Than, Health Category U of the selection maximum value for current cooking zone, such as following formula,
U=max (UParticulate matter,UVOC, UPolycyclic aromatic hydrocarbon)。
2, computing module is by polycyclic aromatic hydrocarbon grade UPolycyclic aromatic hydrocarbon, particulate matter grade UParticulate matterWith volatile organic matter grade UVOCAdduction
Obtain the Health Category U of current cooking zone, such as following formula,
U=UParticulate matter+UVOC+UPolycyclic aromatic hydrocarbon。
3, computing module is by polycyclic aromatic hydrocarbon grade UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter grade UParticulate matter
Multiplied by particulate matter weight factor QParticulate matterWith volatile organic matter grade UVOCMultiplied by volatile organic matter weight factor QVOCComparison, choosing
It is maximized the Health Category U for current cooking zone, such as following formula,
U=max (UParticulate matter*QParticulate matter,UVOC*QVOC, UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbon)。
4, computing module is by polycyclic aromatic hydrocarbon grade UPolycyclic aromatic hydrocarbonMultiplied by polycyclic aromatic hydrocarbon weight factor QPolycyclic aromatic hydrocarbon, particulate matter grade UParticulate matter
Multiplied by particulate matter weight factor QParticulate matterWith volatile organic matter grade UVOCMultiplied by volatile organic matter weight factor QVOCAdded
With obtain the Health Category U of current cooking zone, such as following formula,
U=UParticulate matter*QParticulate matter+UVOC*QVOC+UPolycyclic aromatic hydrocarbon*QPolycyclic aromatic hydrocarbon。
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.
Compared with Example 4, the healthy cooking system of the present embodiment can polycyclic aromatic hydrocarbon concentration to current environment, particulate matter
Concentration and VOC concentration carry out Health Category division, while the health cooking system can be according to Health Category to the wind speed of kitchen ventilator 1
Tune automatic adjustment is carried out with the firepower of stove 4, drops polycyclic aromatic hydrocarbon, oil smoke, particle concentration and the VOC concentration of current environment all
It is low.
Embodiment 6.
A kind of healthy cooking system that can identify steam and oil smoke, as shown in Fig. 3 to 6, other features and 5 phase of embodiment
Together, the difference is that: temperature sensing module of the invention be temperature sensor 2.
When kitchen ventilator 1, stove 4, hearth 5 and culinary art used in cookware 3 in normal work, temperature sensor 2 is arrived
The vertical height on ground is spent surely for Ht, and 0≤Ht≤3m, the center of kitchen ventilator 1 is defined as X0, by temperature sensor 2 and X0
Horizontal distance be defined as Xt, and 0≤Xt≤2m.
Temperature sensor 2 is the non-invasive temperature sensor 2 far from hearth 5, cookware or stove 4.
It should be noted that non-invasive temperature sensor 2 of the invention can be assemblied in kitchen ventilator 1, can also be assemblied in
Wall, or other objects far from hearth 5, cookware and stove 4, depending on specific implementation according to the actual situation.As long as
It not all can serve as non-invasive temperature sensor 2 of the invention in hearth 5, cookware and stove 4, both fall within protection of the invention
Range.The non-invasive temperature sensor 2 of the present embodiment is assemblied in kitchen ventilator 1.
It is θ, and 0 ° of 360 ° of < θ <, the central axis of temperature sensor 2 and level side by the perspective definition of temperature sensor 2
To angle be defined as β, and 0 ° of β≤90 ° <.
The coincidence face of the projection surface of temperature sensor 2 and hearth 5 is defined as P, with X0 apart from maximum point within the scope of P
It is defined as Pf, is defined as Pn apart from the smallest point with X0 within the scope of P, is Lp, and Lp > 0 by the distance definition of Pf and Pn.
Projection surface by cookware 3 used in culinary art along 2 detection direction of temperature sensor in hearth 5 is defined as P ', and P '
Inside P.
The mounting height of temperature sensor 2 of the invention can be counted by formula (III) and formula (IV).
When β=90 °, the value of Ht is obtained by formula (III),
Ht=Lp/ [2*tan (θ/2)] formula (III).
When β ≠ 90 °, the value of Ht is obtained by formula (IV),
Ht=Lp/ [2*tan (90 ° of-β-θ/2)] formula (IV).
For example, working as β=90 °, Lp is 1 meter, when θ is 90 °, then being 0.5 meter by the Ht that formula (III) counts.
When β is 15 °, when Lp is 1 meter, θ is 90 °, then being 0.87 meter by the Ht that formula (IV) counts.
It should be noted that Lp, θ and β of the invention can be above-mentioned two value, or others value.Such as θ
It can be 160 °, 60 ° or 100 ° etc., Lp can be 0.8 meter, 1.5 meters or 2 meters etc., and β can be 80 °, 60 ° or 45 °
Deng, the value of specific Lp, θ and β according to the actual situation depending on, can formula according to the present invention according to actual Lp, θ and β
(III) and formula (IV) calculate, be not repeated herein.Seek to obtain the height of the temperature sensor 2 of kitchen ventilator 1 for Lp, θ and β all
For protection scope of the present invention.
Embodiment 7.
A kind of healthy cooking system that can identify steam and oil smoke, other features are same as Example 6, and difference exists
In: temperature sensor 2 of the invention is invasive temperature sensor 2.
Invasive temperature sensor 2 of the invention can be assemblied in the pot of external cookware, external stove 4 used in culinary art
Have a frame and external hearth 5, specific rigging position according to the actual situation depending on.The invasive temperature sensor 2 of the present embodiment fills
Assigned in external cookware used in culinary art.
Compared with Example 1, the invasive temperature sensor 2 of the present embodiment is closer at a distance from cookware to be detected,
Therefore the detection data obtained is more accurate.
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 (15)
1. a kind of healthy cooking system that can identify steam and oil smoke, it is characterised in that: it is provided with for cooking zone oil smoke
Image analysis and obtaining in real time generate the image capture module of smog size, the temperature sensing module for detecting cookware temperature,
For detecting the harmful substance detection device and kitchen ventilator of the concentration of narmful substance in cooking zone, image capture module respectively with
Temperature sensing module, harmful substance detection device and oil smoke mechatronics；
Temperature sensing module induction cookware temperature obtains temperature signal and using obtained temperature signal as temperature output signal
It is transmitted to image capture module, image capture module acquisition cooking zone oil smoke image analysis simultaneously obtains generating smog size in real time
Oil smoke output signal is obtained, oil smoke output signal and temperature output signal are carried out steam to image capture module and oil smoke judges,
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is less than or equal to temperature threshold, then sentence
It is set to steam, image capture module obtains processing signal and is sent to kitchen ventilator, and kitchen ventilator receives processing signal and carries out wind-force
It adjusts,
When oil smoke output signal is greater than or equal to oil smoke threshold value, and temperature output signal is greater than temperature threshold, then it is determined as oil
Temperature output signal and oil smoke output signal are sent to harmful substance detection device, nuisance quality inspection by cigarette, image capture module
Device is surveyed to receive temperature output signal and oil smoke output signal and carry out harmful substance detection,
When oil smoke output signal is less than oil smoke threshold value, and temperature output signal is less than or equal to temperature threshold, Image Acquisition mould
Block is not dealt with；
When oil smoke output signal is less than oil smoke threshold value, and temperature output signal is greater than temperature threshold, image capture module is not made
Processing.
2. the healthy cooking system according to claim 1 that can identify steam and oil smoke, it is characterised in that: the oil smoke threshold
Value is 35~45；
The temperature threshold is 98 DEG C~102 DEG C.
3. the healthy cooking system according to claim 2 that can identify steam and oil smoke, it is characterised in that: the oil smoke threshold
Value is 40；
The temperature threshold is 100 DEG C.
4. the healthy cooking system according to claim 3 that can identify steam and oil smoke, it is characterised in that: by Image Acquisition
Output data in the oil smoke output signal of module is defined as λ ' and λ ' >=0, in the temperature output signal of temperature sensing module
Output data is defined as κ,
When current season is spring, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', using revised λ as new
Image capture module output data；
When current season is autumn, oil smoke is carried out to λ ' and corrects to obtain correction value λ, and λ=λ ', using revised λ as new
Image capture module output data；
When current season is summer, oil smoke is carried out to λ ' and corrects to obtain correction value λ, andIt will repair
Output data of the λ as new image capture module after just；
When current season is winter, oil smoke is carried out to λ ' and corrects to obtain correction value λ, andIt will repair
Output data of the λ as new image capture module after just.
5. the healthy cooking system according to claim 4 that can identify steam and oil smoke, it is characterised in that: the nuisance
Quality detecting device is provided with particulate matter detection components for detecting cooking zone granule density, for detecting volatile organic matter
VOC sensor and the polycyclic aromatic hydrocarbon concentration for calculating current cooking zone computing module, computing module respectively with image
Acquisition module, particulate matter detection components, VOC sensor and oil smoke mechatronics；
Particle concentration obtains particle concentration signal and is sent to meter in particulate matter sensors component detection cooking zone oil smoke
Module is calculated, the volatile organic matter concentration that VOC sensor acquires current cooking zone obtains VOC concentration signal and is transmitted to calculating
Module, it is right that computing module receives particle concentration signal, VOC concentration signal, oil smoke output signal and temperature output signal respectively
Post-processing obtains the polycyclic aromatic hydrocarbon concentration of current cooking zone in real time.
6. the healthy cooking system according to claim 5 that can identify steam and oil smoke, it is characterised in that: the calculating mould
Block is to construct to obtain about temperature, smog size, particle concentration and volatile organic matter concentration and polycyclic virtue with mathematical modeling
The computing module of the mathematical relationship of hydrocarbon concentration.
7. the healthy cooking system according to claim 6 that can identify steam and oil smoke, it is characterised in that: the calculating mould
Block be 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 computing module.
8. the healthy cooking system according to claim 7 that can identify steam and oil smoke, it is characterised in that: the calculating mould
The calculation formula of block is formula (I),
CPolycyclic aromatic hydrocarbon+ 0.01 λ+0.0005C+25C of=0.05 κVOc+6*10-5κ λ C+475.1 formula (I),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, C is the output data of particulate matter sensory package, CVOC
For the output data of VOC sensor.
9. the healthy cooking system according to claim 7 that can identify steam and oil smoke, it is characterised in that: the calculating mould
The calculation formula of block is formula (II),
CPolycyclic aromatic hydrocarbon=0.05 κ0.98+0.01λ1.05+0.0005C1.05+25CVOC 1.05+6*10-5κ λ C+469.5 formula (II),
Wherein CPolycyclic aromatic hydrocarbonFor the multiring aromatic hydrocarbon gas total concentration in cooking zone, C is the output data of particulate matter sensory package, CVOC
For the output data of VOC sensor.
10. can identify the healthy cooking system of steam and oil smoke according to claim 8 or 9, it is characterised in that: described
It is dense less than or equal to 2.5 micron particles objects that particulate matter detection components are provided for detecting equivalent diameter in current cooking zone oil smoke
The PM2.5 sensor of degree is less than or equal to 10 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
PM10 sensor, the PM1.0 for being less than or equal to 1.0 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
Sensor, the PM0.1 for being less than or equal to 0.1 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke are sensed
Device and it is less than or equal in the PMA sensor of 0.05 micron particles object concentration for detecting equivalent diameter in current cooking zone oil smoke
At least one.
11. the healthy cooking system according to claim 10 that can identify steam and oil smoke, it is characterised in that: also set up furnace
Tool, stove are electrically connected with computing module；
The computing module is that can carry out Health Category according to particle concentration, volatile organic matter concentration and polycyclic aromatic hydrocarbon concentration
The computing module of division；
Computing module carries out health according to particle concentration, volatile organic matter concentration and the polycyclic aromatic hydrocarbon concentration in current environment
Grade classification obtains Health Category signal, and Health Category signal is sent to kitchen ventilator and stove by computing module, and kitchen ventilator receives
Health Category signal carries out wind-force adjusting, and stove receives Health Category signal and carries out firepower adjusting.
12. the healthy cooking system according to claim 11 that can identify steam and oil smoke, it is characterised in that: the temperature
Sensing module is temperature sensor；
The cookware used in kitchen ventilator, stove, hearth and the culinary art in normal work,
The vertical height of temperature sensor to ground is spent surely for Ht, and 0≤Ht≤3m,
The center of kitchen ventilator is defined as X0,
The horizontal distance of temperature sensor and X0 is defined as Xt, and 0≤Xt≤2m.
13. the healthy cooking system according to claim 12 that can identify steam and oil smoke, it is characterised in that: the temperature
Sensor is invasive temperature sensor；
The temperature sensor is to be assemblied in the external cookware used in cooking；Or
The temperature sensor is the cookware frame for being assemblied in stove；Or
The temperature sensor is to be assemblied in external hearth.
14. the healthy cooking system according to claim 12 that can identify steam and oil smoke, it is characterised in that: the temperature
Sensor is the non-invasive temperature sensor far from hearth, cookware and stove.
15. the healthy cooking system according to claim 14 that can identify steam and oil smoke, it is characterised in that: temperature is passed
The perspective definition of sensor is θ, and 0 ° of 360 ° of < θ <, the central axis of temperature sensor and the angle of horizontal direction are defined as β, and
0 ° of β≤90 ° <；
The coincidence face of the projection surface of temperature sensor and hearth is defined as P, is defined as with X0 apart from maximum point within the scope of P
Pf is defined as Pn apart from the smallest point with X0 within the scope of P, is Lp, and Lp > 0 by the distance definition of Pf and Pn；
Cookware used in culinary art is defined as P ' in the projection surface of hearth along temperature sensor detection direction, and P ' is included in P
It is internal；
When β=90 °, the value of Ht is obtained by formula (III),
Ht=Lp/ [2*tan (θ/2)] formula (III)；
When β ≠ 90 °, the value of Ht is obtained by formula (IV),
Ht=Lp/ [2*tan (90 ° of-β-θ/2)] formula (IV).
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| CN110648424A (en) * | 2019-09-03 | 2020-01-03 | 华帝股份有限公司 | Method and system for detecting service life of cigarette machine |
| CN113154480A (en) * | 2020-01-06 | 2021-07-23 | 宁波方太厨具有限公司 | Fume exhaust fan |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113154480A (en) * | 2020-01-06 | 2021-07-23 | 宁波方太厨具有限公司 | Fume exhaust fan |
| CN113154480B (en) * | 2020-01-06 | 2022-08-12 | 宁波方太厨具有限公司 | Fume exhaust fan |
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| CN109654559B (en) | 2020-04-28 |
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