CN109621595B - Oil removal spraying system and oil removal spraying method according to kitchen oil smoke components - Google Patents

Oil removal spraying system and oil removal spraying method according to kitchen oil smoke components Download PDF

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Publication number
CN109621595B
CN109621595B CN201811629449.9A CN201811629449A CN109621595B CN 109621595 B CN109621595 B CN 109621595B CN 201811629449 A CN201811629449 A CN 201811629449A CN 109621595 B CN109621595 B CN 109621595B
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oil smoke
spraying
concentration
oil
cooking area
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CN109621595A (en
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陈小平
司徒伟贤
林勇进
李翔
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Foshan Viomi Electrical Technology Co Ltd
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Foshan Viomi Electrical Technology Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D47/00—Separating dispersed particles from gases, air or vapours by liquid as separating agent
    • B01D47/06—Spray cleaning
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/14—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols by absorption
    • B01D53/1406—Multiple stage absorption
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/14—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols by absorption
    • B01D53/1487—Removing organic compounds
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/14—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols by absorption
    • B01D53/18—Absorbing units; Liquid distributors therefor
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D2257/00—Components to be removed
    • B01D2257/70—Organic compounds not provided for in groups B01D2257/00 - B01D2257/602
    • B01D2257/708—Volatile organic compounds V.O.C.'s
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D2258/00—Sources of waste gases
    • B01D2258/02—Other waste gases
    • B01D2258/0283—Flue gases

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  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Analytical Chemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

An oil removal spraying system according to kitchen oil smoke components is provided with an oil smoke detection device for detecting the oil smoke components and the conditions of a cooking area in real time and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, wherein the oil removal spraying device is electrically connected with the oil smoke detection device. The oil removal spraying system can detect the conditions of temperature, oil smoke size, volatile organic compound concentration, particulate matter concentration and polycyclic aromatic hydrocarbon concentration in a cooking area to carry out oil removal spraying operation, and can remove harmful substances to the greatest extent and ensure the health of users. A lampblack oil removal spraying method comprises two steps. According to the method, different kinds of spray liquid can be selected according to the oil smoke conditions of the oil smoke detection device, such as the oil smoke size, the particle concentration, the volatile organic compounds and the polycyclic aromatic hydrocarbon concentration in the cooking area, and targeted spray adsorption and collection operations are performed on the oil smoke. Meanwhile, the oil smoke deoiling spraying method also can be used for selectively recycling spraying liquid, so that the cost is reduced.

Description

Oil removal spraying system and oil removal spraying method according to kitchen oil smoke components
Technical Field
The invention relates to the field of kitchen oil smoke treatment, in particular to an oil smoke removing spraying system and an oil smoke removing spraying method according to kitchen oil smoke components.
Background
In modern life, a large amount of oil smoke can be generated in cooking of many families, in the prior art, the oil smoke is mainly obtained by firstly centrifugally separating all the oil smoke, most of oil smoke particles are liquefied and collected, and the rest oil smoke is directly discharged to the external environment. However, the components in the oil smoke are various, for example, the oil smoke gas contains polycyclic aromatic hydrocarbon substances, various particulate matters, volatile organic matters and other harmful substances, and it is difficult to remove the harmful substances for centrifugal separation.
Therefore, in order to solve the deficiencies of the prior art, it is necessary to provide a system and a method for removing oil and mist according to the oil and mist components of a kitchen.
Disclosure of Invention
One of the objects of the present invention is to avoid the disadvantages of the prior art and to provide a system for removing oil and mist from kitchen fumes. The oil removal spraying system according to the kitchen oil smoke components has the advantages of detecting the cooking area oil smoke components in real time, and correspondingly carrying out spray absorption and collection on the cooking area oil smoke components and the cooking area oil smoke conditions.
The above object of the present invention is achieved by the following technical measures:
the oil removal spraying system comprises an oil smoke detection device for detecting the oil smoke components and the conditions of a cooking area in real time and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, wherein the oil removal spraying device is electrically connected with the oil smoke detection device.
The oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the oil removal spraying device, and the oil removal spraying device receives the oil smoke signals of the oil smoke detection device to start oil removal operation.
Preferably, the oil removal spraying device is provided with a spraying component for assembling spraying liquid to spray and settle oil smoke and a collecting component for collecting the spraying liquid containing the oil smoke, and the spraying component and the collecting component are respectively electrically connected with the oil smoke detection device.
The oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the spraying assembly and the collecting assembly respectively, the spraying assembly receives the oil smoke signals to start spraying sedimentation work, and the collecting assembly receives the oil smoke signals to start collecting spraying liquid work.
Preferably, the oil removing spraying device is assembled in an air duct of the external range hood or on the outer surface of the external range hood, and the spraying surface faces to the cooking area.
Preferably, the above-mentioned oil smoke detection device is assembled on the outer surface of the range hood and the detection surface faces the cooking area.
Preferably, the above-mentioned oil smoke detection device is provided with the temperature sensing module that is used for detecting the temperature in the cooking region, be used for detecting the particulate matter sensing module of particulate matter concentration in the current cooking region oil smoke, be used for calculating the calculation module of the polycyclic aromatic hydrocarbon concentration of current cooking region, be used for to cooking region oil smoke image analysis and obtain the VOC sensor that produces the oil smoke size and be used for detecting the volatile organic matter concentration of current cooking region in real time, temperature sensing module, particulate matter sensing module, VOC sensor and image acquisition module are connected with calculation module electricity respectively, temperature sensing module, particulate matter sensing module, VOC sensor, calculation module and image acquisition module are connected with the cigarette machine main part electricity respectively.
The temperature sensing module senses the temperature in the cooking area to obtain a temperature signal, the obtained temperature signal is used as a temperature output signal to be transmitted to the calculating module, the particulate matter sensing assembly collects the concentration of particulate matters in the oil smoke of the current cooking area to obtain a particulate concentration signal and transmits the particulate concentration signal to the calculating module, the VOC sensor collects the concentration of volatile organic matters of the current cooking area to obtain a VOC concentration signal and transmits the VOC concentration signal to the calculating module, the image collecting module collects the oil smoke image of the cooking area to obtain an oil smoke output signal and transmits the oil smoke output signal to the calculating module, and the calculating module receives the temperature output signal, the oil smoke output signal, the VOC concentration signal and the particulate concentration signal respectively and then processes the oil smoke output signal and the particulate concentration signal to obtain the polycyclic aromatic hydrocarbon concentration of the current cooking area in real time.
Preferably, the calculation module is constructed by mathematical modeling to obtain mathematical relations of temperature, volatile organic compound concentration, oil smoke size and particle concentration in the cooking area and polycyclic aromatic hydrocarbon concentration in harmful gas in the oil smoke.
Preferably, the calculation module is a linear calculation module, a nonlinear calculation module, an exponential calculation module, a power calculation module, a logarithmic calculation module, a neural network-like calculation module, a machine learning calculation module or a deep learning calculation module.
Preferably, the particulate matter sensing assembly comprises a PM2.5 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 2.5 micrometers in the oil fume in the current cooking area, a PM10 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 10 micrometers in the oil fume in the current cooking area, a PM1.0 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 1.0 micrometers in the oil fume in the current cooking area, a PM0.1 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.1 micrometers in the oil fume in the current cooking area and a PMA sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.05 micrometers in the oil fume in the current cooking area, wherein the PM10 sensor, the PM2.5 sensor, the PM1.0 sensor, the PM0.1 sensor and the PMA sensor are respectively electrically connected with the temperature sensing module, the VOC sensor, the computing module, the image acquisition module and the main body of the fume.
And the PM10 sensor acquires the concentration of the particulate matters with equivalent diameters smaller than or equal to 10 microns in the oil smoke in the current cooking area to obtain a PM10 concentration signal, and transmits the PM10 concentration signal to the calculation module.
The PM2.5 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 2.5 microns in the oil smoke in the current cooking area to obtain a PM2.5 concentration signal, and the PM2.5 concentration signal is transmitted to the calculation module.
The PM1.0 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 1.0 micron in the oil smoke in the current cooking area to obtain a PM1.0 concentration signal, and the PM1.0 concentration signal is transmitted to the calculation module.
The PM0.1 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 0.1 micron in the oil smoke in the current cooking area to obtain a PM0.1 concentration signal, and the PM0.1 concentration signal is transmitted to the calculation module.
And the PMA sensor acquires the concentration of particles with equivalent diameter smaller than or equal to 0.05 micron in the oil smoke in the current cooking area to obtain a PMA concentration signal, and transmits the PMA concentration signal to the calculation module.
Another object of the present invention is to provide a method for removing oil from soot by spraying, which avoids the disadvantages of the prior art. The oil smoke deoiling spraying method has the advantages that the oil smoke components in the cooking area are detected in real time, and the spraying adsorption and the collection are correspondingly carried out under the condition.
The oil removal spraying system according to the kitchen oil smoke components is provided with an oil smoke detection device for detecting the oil smoke components and the conditions of a cooking area in real time and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, wherein the oil removal spraying device is electrically connected with the oil smoke detection device. The oil removal spraying system can detect the conditions of temperature, oil smoke size, volatile organic compound concentration, particulate matter concentration and polycyclic aromatic hydrocarbon concentration in a cooking area to carry out oil removal spraying operation, and can remove harmful substances to the greatest extent and ensure the health of users.
Another object of the present invention is to provide a method for removing oil from soot by spraying, which avoids the disadvantages of the prior art. The oil smoke deoiling spraying method can correspondingly carry out spray adsorption and collection according to the oil smoke components and conditions.
The above object of the present invention is achieved by the following technical measures:
the oil smoke deoiling and spraying method is provided with the oil smoke deoiling and spraying system according to the kitchen oil smoke components, and comprises the following steps:
step one, a lampblack detection device detects lampblack conditions of lampblack size, particle concentration, volatile organic compounds and polycyclic aromatic hydrocarbon concentration in a cooking area;
and step two, selecting different types of spray liquids by the oil removal spraying device according to the oil smoke condition obtained in the step one to perform spray adsorption and collection operation on the cooking area.
Preferably, the second step specifically includes that the oil removing spraying device selects different kinds of spraying liquid according to the oil smoke condition obtained in the first step to spray and adsorb the cooking area and collect the spraying liquid, and then directly discharges the collected spraying liquid.
Preferably, the second step specifically includes:
step 2.1, the spraying component selects different types of spraying liquid to spray the cooking area according to the oil smoke condition obtained in the step one;
step 2.2, the collecting component collects the spray liquid in step 2.1 in stages to obtain recovered spray liquid,
and 2.3, placing the recovered spray liquid obtained in the step 2.2 in a spray assembly for recycling.
Preferably, the spraying assembly selects different kinds of spraying liquids to spray the cooking area in N stages according to the oil smoke condition obtained in the first step, wherein the spraying operations are stage 1 spraying operation, … …, stage I spraying operation, … …, stage N-1 spraying operation, stage N spraying operation, I is less than or equal to 2 and less than N, and both I and N are positive integers.
Preferably, in step 2.2, the collecting assembly collects the spray liquid in step 2.2 in N stages, to sequentially obtain the spray liquid recovered in stage 1, … …, the spray liquid recovered in stage I, … …, the spray liquid recovered in stage N-1, and the spray liquid recovered in stage N.
Preferably, the step 2.3 specifically includes recovering the spray liquid recovered from the first stage to the spray assembly and corresponds to the spray operation from the first stage, … …, recovering the spray liquid recovered from the N-1 stage to the spray assembly and corresponds to the spray operation from the N-I stage, … …, and recovering the spray liquid recovered from the N-i+1 stage to the spray assembly.
Preferably, the recovered spray liquid is subjected to oil-water separation treatment.
Preferably, the spraying operation mode is up-down spraying operation, left-right spraying operation, mixed spraying operation or 360-degree spraying operation; or alternatively
The spraying operation mode is at least one of continuous spraying operation or intermittent spraying operation.
The invention relates to a lampblack oil removal spraying method, which comprises the following steps: step one, a lampblack detection device detects lampblack conditions of lampblack size, particle concentration, volatile organic compounds and polycyclic aromatic hydrocarbon concentration in a cooking area; and step two, selecting different types of spray liquids by the oil removal spraying device according to the oil smoke condition obtained in the step one to perform spray adsorption and collection operation on the cooking area. According to the method, different kinds of spray liquid can be selected according to the oil smoke conditions of the oil smoke detection device, such as the oil smoke size, the particle concentration, the volatile organic compounds and the polycyclic aromatic hydrocarbon concentration in the cooking area, and targeted spray adsorption and collection operations are performed on the oil smoke. Meanwhile, the oil smoke deoiling spraying method also can be used for selectively recycling spraying liquid, so that the cost is reduced.
Drawings
The invention is further illustrated by the accompanying drawings, which are not to be construed as limiting the invention in any way.
Fig. 1 is a schematic diagram of the transmission of operating signals of a deoiling and spraying system according to the kitchen fume composition of example 1.
Fig. 2 is a schematic diagram of a method for spraying oil fume to remove oil in example 2.
Detailed Description
The technical scheme of the invention is further described with reference to the following examples.
Example 1.
An oil removal spraying system according to kitchen oil smoke components is provided with an oil smoke detection device for detecting the oil smoke components and the state of a cooking area in real time and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, as shown in fig. 1, wherein the oil removal spraying device is electrically connected with the oil smoke detection device.
The oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the oil removal spraying device, and the oil removal spraying device receives the oil smoke signals of the oil smoke detection device to start oil removal operation.
The oil removal spraying device is provided with a spraying component for assembling spraying liquid to spray and settle oil smoke and a collecting component for collecting the spraying liquid containing the oil smoke, and the spraying component and the collecting component are respectively electrically connected with the oil smoke detection device.
The oil removal spraying device can be assembled in an air duct of an external range hood or can also be assembled on the outer surface of the external range hood, and the spraying surface faces to a cooking area. The oil removal spraying device of the embodiment is specifically assembled on the outer surface of the external range hood, and the spraying surface faces to the cooking area.
The lampblack detecting device of this embodiment is assembled in the surface of lampblack absorber and detects and face to cooking region.
The oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the spraying assembly and the collecting assembly respectively, the spraying assembly receives the oil smoke signals to start spraying sedimentation work, and the collecting assembly receives the oil smoke signals to start collecting spraying liquid work.
The oil smoke detection device is provided with a temperature sensing module for detecting the temperature in a cooking area, a particulate matter sensing assembly for detecting the concentration of particulate matters in oil smoke in the current cooking area, a calculation module for calculating the concentration of polycyclic aromatic hydrocarbons in the current cooking area, an image acquisition module for analyzing the oil smoke image in the cooking area and obtaining the generated oil smoke in real time, and a VOC sensor for detecting the concentration of volatile organic matters in the current cooking area, wherein the temperature sensing module, the particulate matter sensing assembly, the VOC sensor and the image acquisition module are respectively electrically connected with the calculation module, and the temperature sensing module, the particulate matter sensing assembly, the VOC sensor, the calculation module and the image acquisition module are respectively electrically connected with a main body of the smoke machine.
The temperature in the cooking area is preferably the temperature of the detected kitchen ware, and can also be the temperature of air, the temperature of lampblack or the temperature of a kitchen range in the cooking area, and the specific implementation mode is determined according to actual conditions. In this embodiment, the detected temperature in the cooking area is the temperature of the kitchen ware.
The temperature sensing module senses the temperature in the cooking area to obtain a temperature signal, the obtained temperature signal is used as a temperature output signal to be transmitted to the calculating module, the particulate matter sensing assembly collects the concentration of particulate matters in the oil smoke of the current cooking area to obtain a particulate concentration signal and transmits the particulate concentration signal to the calculating module, the VOC sensor collects the concentration of volatile organic matters of the current cooking area to obtain a VOC concentration signal and transmits the VOC concentration signal to the calculating module, the image collecting module collects the oil smoke image of the cooking area to obtain an oil smoke output signal and transmits the oil smoke output signal to the calculating module, and the calculating module receives the temperature output signal, the oil smoke output signal, the VOC concentration signal and the particulate concentration signal respectively and then processes the oil smoke output signal and the particulate concentration signal to obtain the polycyclic aromatic hydrocarbon concentration of the current cooking area in real time.
The calculation module is a calculation module which is constructed by mathematical modeling and used for obtaining mathematical relations of temperature, volatile organic compound concentration, oil smoke size, particle concentration and polycyclic aromatic hydrocarbon concentration in harmful gas in the oil smoke.
The computing module is any one of a linear computing module, a nonlinear computing module, an exponential computing module, a power computing module, a logarithmic computing module, a neural network computing module, a machine learning computing module or a deep learning computing module.
The calculation module is obtained through mathematical modeling, and the mathematical modeling is to collect mathematical relations of factors such as different temperatures, oil smoke sizes, volatile organic compound concentrations, particulate matter concentrations and the like and the concentration of polycyclic aromatic hydrocarbon in the oil smoke through experiments. And (3) sampling and detecting according to different experimental conditions to obtain different types of polycyclic aromatic hydrocarbon concentrations, and analyzing and classifying to obtain a mathematical model, so that the calculation module can judge the current different types of polycyclic aromatic hydrocarbon concentrations according to the detection conditions of the temperature in the cooking area and the concentration of the particulate matters in the oil smoke.
The particulate matter sensing assembly comprises a PM2.5 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 2.5 microns in the oil fume in the current cooking area, a PM10 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 10 microns in the oil fume in the current cooking area, a PM1.0 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 1.0 microns in the oil fume in the current cooking area, a PM0.1 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.1 microns in the oil fume in the current cooking area and a PMA sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.05 microns in the oil fume in the current cooking area, wherein the PM10 sensor, the PM2.5 sensor, the PM1.0 sensor, the PM0.1 sensor and the PMA sensor are respectively electrically connected with the temperature sensing module, the VOC sensor, the computing module, the image acquisition module and the main body of the cigarette machine.
And the PM10 sensor acquires the concentration of the particulate matters with equivalent diameters smaller than or equal to 10 microns in the oil smoke in the current cooking area to obtain a PM10 concentration signal, and transmits the PM10 concentration signal to the calculation module.
The PM2.5 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 2.5 microns in the oil smoke in the current cooking area to obtain a PM2.5 concentration signal, and the PM2.5 concentration signal is transmitted to the calculation module.
The PM1.0 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 1.0 micron in the oil smoke in the current cooking area to obtain a PM1.0 concentration signal, and the PM1.0 concentration signal is transmitted to the calculation module.
The PM0.1 sensor collects the concentration of particulate matters with equivalent diameters smaller than or equal to 0.1 micron in the oil smoke in the current cooking area to obtain a PM0.1 concentration signal, and the PM0.1 concentration signal is transmitted to the calculation module.
And the PMA sensor acquires the concentration of particles with equivalent diameter smaller than or equal to 0.05 micron in the oil smoke in the current cooking area to obtain a PMA concentration signal, and transmits the PMA concentration signal to the calculation module.
It should be noted that, the particulate matter sensing assembly of the present invention is used for detecting the concentration of particulate matters in the air, and as long as the particulate matter sensing assembly achieving the function is within the protection scope of the present invention. Meanwhile, the type of the particulate matter sensing assembly is common knowledge, and is not described in detail herein.
The processing method of the image acquisition module comprises the following steps:
the image acquisition module processes an initial image acquired by the imaging equipment as a basis, the initial image is a gray level image, the acquired initial image is serialized, and the current kitchen oil smoke concentration at the moment when each initial image of the rear frame is positioned is obtained by processing the initial image of the rear frame and the initial image of the front frame in sequence.
Each time the initial image of the back frame and the initial image of the front frame are processed, the current kitchen oil smoke concentration at the moment when the initial image of the back frame is positioned is obtained by the following steps:
(1) Performing frame difference processing on the initial image of the rear frame and the initial image of the front frame to obtain a frame difference image;
(2) Denoising the frame difference image in an open operation mode to obtain a denoised image;
(3) Performing edge detection on the denoising image, and marking a motion region as an initial region of interest;
(4) Carrying out gray average value calculation and region smoothness calculation on an initial region of interest, taking a region meeting the requirements of gray average value and smoothness as a next region of interest, and taking other regions as interference elimination;
(5) And (3) respectively counting the interested areas extracted in the step (4), and obtaining the oil smoke concentration assignment according to the counting result.
In the step (1), the frame difference operation is performed on the acquired initial image to obtain a frame difference image specifically includes:
and the image acquisition module performs difference on the next frame image and the previous frame image according to the sequence of the received initial images to obtain a frame difference image with a high brightness in the dynamic region.
The step (2) is to denoising the frame difference image by adopting open operation to obtain a denoised image, and the method is specifically carried out in the following manner: firstly, carrying out corrosion operation on the frame difference image to eliminate noise points and tiny spines in the image, and breaking narrow connection; and then expanding the corroded image to recover the smoke characteristics in the original frame difference image.
The step (3) is to carry out edge detection on the denoising image, mark a motion area as an initial interested area, and specifically comprises the following steps: detecting and marking the edge of the highlighted area of the frame difference image, and taking the marked area as an initial interested area.
And (4) specifically, carrying out gray average value and region smoothness calculation on each initial region of interest to obtain gray average value and gray smoothness corresponding to each initial region of interest, taking the initial region of interest which simultaneously satisfies that the calculated gray average value is smaller than a gray threshold value and the gray smoothness is smaller than the gray smoothness threshold value as the region of interest, and judging other initial regions of interest as interference regions.
The step (5) is specifically to sum the gray scales of all pixels in each region of interest image to obtain the gray scale value of each region of interest image aiming at the region of interest extracted in the step (4), and then sum the gray scale values of each region of interest image to obtain the oil smoke concentration assignment.
The target area acquired by the imaging device is represented by an area S, and any frame of initial image is the imaging of the corresponding area S.
The initial image is made up of m x n pixels,
the gray values of the pixels of the initial image a of the subsequent frame are represented by a matrix AH, ah= { AH i,j }，ah i,j Representing gray values corresponding to the ith row and the jth column of pixels in the initial image A of the subsequent frame, wherein i is the row where the pixels are located, j is the column where the pixels are located, i is more than or equal to 1 and less than or equal to m, and j is more than or equal to 1 and less than or equal to n; the sub-area where the ith row and jth column pixels are located in the initial image A of the subsequent frame is AS i,j 。
The gray value of the pixel of the previous frame initial image B is represented by a matrix BH, bh= { BH i,j }，bh i,j Representing gray values corresponding to the ith row and the jth column pixels in the initial image B of the previous frame, wherein the subarea where the ith row and the jth column pixels are positioned in the initial image B of the previous frame is BS i,j 。
The pixel gray value of the frame difference image D is represented by a matrix DH, dh= { DH i,j }＝{|ah i,j -bh i,j |}，dh i,j Representing gray values corresponding to the ith row and the jth column pixels in the frame difference image D, wherein the subarea where the ith row and the jth column pixels in the frame difference image D are positioned is DS i,j 。
In the frame difference image, |dh i,j The region of |=0 is black; |dh i,j The region of i+.0 is highlighted.
The step (2) of corroding the frame difference image specifically comprises the following steps:
2-11, arbitrarily defining a convolution kernel theta;
2-12, convolving the convolution kernel theta with the frame difference image; when traversing the frame difference image by the convolution kernel theta, extracting a pixel gray minimum value p of a convolution result in the coverage area of the convolution kernel and a pixel point C overlapped with the center of the convolution kernel;
the gray level of the pixel point C passes through the matrix CH= { C k,q And k, q are the row number and column number of pixel C,
obtaining a minimum value pixel point matrix P of a convolution result obtained in the process of traversing the frame difference image by using a convolution kernel theta, wherein the gray level of the minimum value pixel point matrix P passes through a matrix PH= { P k,q -representation;
2-13, endowing the gray scale of the pixel point matrix P to the pixel point C correspondingly to obtain a corrosion image;
and (3) performing expansion operation on the corrosion image in the step (2), wherein the method specifically comprises the following steps of:
2-21, arbitrarily defining a convolution kernel beta;
2-22, convolving the convolution kernel beta with the corrosion image; when traversing the corrosion image by the convolution kernel beta, extracting a pixel gray maximum value o of a convolution result in the coverage area of the convolution kernel and a pixel point R overlapped with the center of the convolution kernel;
the gray level of the pixel point R passes through the matrix RH= { R l,v And indicates that l and v are the row number and column number of the pixel point R,
obtaining a convolution result maximum pixel point matrix O obtained in the process of traversing the convolution kernel beta through the corrosion image, wherein the gray level of the maximum pixel point matrix O passes through a matrix OH= { O l,v -representation;
and 2-13, endowing the gray scale of the maximum pixel point matrix O with the pixel point R correspondingly to obtain an expanded image, and obtaining the expanded image which is the denoising image.
Wherein the step (3) is performed by the following steps:
3-1, defining a filter Y, wherein the filter is a t matrix, and t is an odd number;
3-2, traversing the filter Y through the denoising image, calculating the gray value of the denoising image of the central pixel point of each position of the filter and the gray values of other pixels in the neighborhood of the central pixel point, and calculating the edge detection value X of the central pixel point of each position of the filter according to the formula (I) z Z is the signature of filter Y as it traverses the denoised image,
f. g is the matrix serial number of the pixel points, f is more than or equal to 1 and less than or equal to t, g is more than or equal to 1 and less than or equal to t, and e is the gray value of the denoising image where the pixel point of the filter at each position is positioned; alpha is a weight coefficient and corresponds to the position of the filter;
3-3, the edge detection value X of the central pixel point of the filter at each position z Subtracting the gray values of other pixels in the neighborhood of the central pixel point, and judging whether the absolute value of the difference value is larger than a threshold delta;
counting a number greater than a threshold, if the number exceedsJudging the pixel point position of the denoising image corresponding to the central pixel point of the filter as an edge point, and marking;
3-4, traversing the complete denoising image by the filter to obtain all marked edge points, and obtaining a preliminary region of interest.
t is 3.
It should be noted that, the above-mentioned processing method of the image acquisition module is only one of the processing methods provided, and the method that the processing method of other image acquisition modules can only acquire the output data of the image acquisition module in the cooking area can be applied to the range hood capable of identifying the harmful gas in the oil smoke of the present invention, and all the methods fall into the protection scope of the present invention.
It should be noted that, the image acquisition module of the present invention adopts the camera to detect the cooking area oil fume, so long as the above functions of the present invention can be implemented, the image acquisition module of the present invention can be used.
The calculation module of the present invention calculates the concentration of polycyclic aromatic hydrocarbon in the current cooking area according to the temperature output signal, the oil fume output signal, the PM2.5 concentration signal, the PM10 concentration signal, the PM1.0 concentration signal, the PM0.1 concentration signal and the PMA concentration signal, and the calculation module is a calculator or a module with a calculation function, which can be used as the calculation module of the present invention, and the calculation module of the present invention is a common general knowledge of the calculation module in industrial production, and will not be described herein.
The calculation formula of the calculation module is shown as formula (I),
wherein C is Polycyclic aromatic hydrocarbons For the total concentration of polycyclic aromatic hydrocarbon gas in the cooking area, kappa is the output data of the temperature sensing module, lambda is the output data of the image acquisition module, C is the output data of the particulate matter sensing assembly, C PM10 Output data of PM10 sensor, C PM2.5 Output data of PM2.5 sensor, C PM1.0 Output data of PM1.0 sensor, C PM0.1 Output data of PM0.1 sensor, C PMA Output data of PMA sensor, C VOC Is output data of the VOC sensor.
When kappa is E (0 ℃,200 ℃), C is E (0 mug/m) 3 ,3000μg/m 3 )，λ∈(0,300)，C VOC ∈(0mg/m 3 ，5mg/m 3 ) At time C (2-3) ＝70％C Polycyclic aromatic hydrocarbons ,C (4) ＝20％C Polycyclic aromatic hydrocarbons ,C (5-6) ＝10％C Polycyclic aromatic hydrocarbons 。
When kappa is treated with E (200 ℃,240 ℃), C is treated with E (3000 mug/m) 3 ,5000μg/m 3 )，λ∈(300,500)，C VOC ∈(5mg/m 3 ，10mg/m 3 ) At time C (2-3) ＝60％C Polycyclic aromatic hydrocarbons ,C (4) ＝25％C Polycyclic aromatic hydrocarbons ,C (5-6) ＝15％C Polycyclic aromatic hydrocarbons 。
Wherein C is (2-3) Is the concentration of the bi-ring polycyclic aromatic hydrocarbon and the tri-ring polycyclic aromatic hydrocarbon, C (4) Is the concentration of tetracyclic polycyclic aromatic hydrocarbon, C (5-6) Is the concentration of pentacyclic polycyclic aromatic hydrocarbon and hexacyclic polycyclic aromatic hydrocarbon.
For example, when kappa is 100 ℃, C is 1000. Mu.g/m 3 Lambda is 100, C VOC 1mg/m 3 At the time, kappa and C, C are respectively VOC And directly substituting the data value of lambda into the formula to obtain C Polycyclic aromatic hydrocarbons 1106.6 and C Polycyclic aromatic hydrocarbons In pg/m 3 I.e. the concentration of polycyclic aromatic hydrocarbons in the current environment is 1106.6pg/m 3 。C (2-3) Is 774.62pg/m 3 ，C (4) Is 221.32pg/m 3 ，C (5-6) Is 110.66pg/m 3 。
According to the embodiment, the concentration of polycyclic aromatic hydrocarbon in the current cooking area can be obtained by detecting the temperature output signal, the lampblack output signal, the PM2.5 concentration signal, the PM10 concentration signal, the PM1.0 concentration signal, the PM0.1 concentration signal, the PMA concentration signal and the VOC concentration signal, and the concentrations of the bicyclic polycyclic aromatic hydrocarbon, the tricyclic polycyclic aromatic hydrocarbon, the tetracyclic polycyclic aromatic hydrocarbon, the pentacyclic polycyclic aromatic hydrocarbon and the hexacyclic polycyclic aromatic hydrocarbon in the current environment can be calculated.
According to the oil removal spraying device, spraying adsorption and collection operations of different types of spraying liquids are selected according to the concentration of M2.5, the concentration of PM10, the concentration of PM1.0, the concentration of PM0.1, the concentration of PMA, the concentration of VOC, the concentration of bi-cyclic polycyclic aromatic hydrocarbon, the concentration of tri-cyclic polycyclic aromatic hydrocarbon, the concentration of tetra-cyclic polycyclic aromatic hydrocarbon, the concentration of penta-cyclic polycyclic aromatic hydrocarbon or the concentration of hexa-cyclic polycyclic aromatic hydrocarbon detected by the oil fume detection device.
The working process of the invention is as follows: the user places different kinds of spray liquids in advance in the spray assembly. When a user carries out cooking operation in a cooking area, a large amount of oil smoke can be generated in the cooking area, the oil smoke detection device carries out real-time oil smoke size, PM2.5 concentration, PM10 concentration, PM1.0 concentration, PM0.1 concentration, PMA concentration and VOC concentration, and the oil removal spraying device automatically carries out corresponding spraying adsorption and collection on the oil smoke area.
The oil smoke component of the invention can be different spray liquids, water can be selected for spray adsorption and collection for oil smoke with higher concentration of particles in the oil smoke, alkaline spray liquid can be selected for oil smoke with more grease, polycyclic aromatic hydrocarbon spray liquid can be selected for oil smoke with higher concentration of polycyclic aromatic hydrocarbon, and volatile organic matter spray liquid can be selected for volatile organic matter. The specific components of the spray solution are known to those skilled in the art. The object of the present invention is to detect the component and type of the oil smoke and to perform the corresponding spray adsorption and collection. The specific spray composition is not a concern in the present invention and is therefore not described in detail herein.
The oil removal spraying system according to the kitchen oil smoke components is provided with a range hood, an oil smoke detection device for detecting the oil smoke components and the conditions of a cooking area in real time, and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, wherein the oil smoke detection device and the oil removal spraying device are respectively connected with a motor and a motor, and the oil removal spraying device and the oil smoke detection device are electrically connected. The oil removal spraying system can detect the conditions of temperature, oil smoke size, volatile organic compound concentration, particulate matter concentration and polycyclic aromatic hydrocarbon concentration in a cooking area to carry out oil removal spraying operation, and can remove harmful substances to the greatest extent and ensure the health of users.
Example 2.
As shown in fig. 2, the oil removing and spraying method of the oil fume has the oil removing and spraying system according to the kitchen oil fume component of the embodiment 1, and the steps include:
step one, a lampblack detection device detects lampblack conditions of lampblack size, particle concentration, volatile organic compounds and polycyclic aromatic hydrocarbon concentration in a cooking area;
and step two, selecting different types of spray liquids by the oil removal spraying device according to the oil smoke condition obtained in the step one to perform spray adsorption and collection operation on the cooking area.
The second step specifically comprises the following steps:
step 2.1, the spraying component selects different types of spraying liquid to spray the cooking area according to the oil smoke condition obtained in the step one;
step 2.2, the collecting component collects the spray liquid in step 2.1 in stages to obtain recovered spray liquid,
and 2.3, placing the recovered spray liquid obtained in the step 2.2 in a spray assembly for recycling.
The spraying component selects different kinds of spraying liquid to spray the cooking area in N stages according to the oil smoke condition obtained in the first step, namely spraying operation in the 1 st stage, … …, spraying operation in the I stage, … …, spraying operation in the N-1 stage, spraying operation in the N stage, wherein I is more than or equal to 2 and less than N, and both I and N are positive integers.
The step 2.2 is specifically that the collecting assembly collects the spray liquid in the step 2.2 in N stages, and the spray liquid recovered in the 1 st stage is … …, the spray liquid recovered in the I stage is … …, the spray liquid recovered in the N-1 stage is … …, and the spray liquid recovered in the N stage is obtained in sequence.
Wherein step 2.3 is specifically, recovering the spray liquid recovered from the I stage to the spray assembly and corresponds to the spray operation from the 1 st stage, … …, recovering the spray liquid recovered from the N-1 stage to the spray assembly and corresponds to the spray operation from the N-I stage, … …, and recovering the spray liquid recovered from the N stage to the spray assembly and corresponds to the spray operation from the N-I+1 stage.
In particular, the spraying liquid performs the spraying operation of the cooking area in 3 stages, the spraying operation of the 1 st stage, the spraying operation of the 2 nd stage, and the spraying operation of the 3 rd stage. And correspondingly obtaining the spray liquid recovered in the 1 st stage, the spray liquid recovered in the 2 nd stage and the spray liquid recovered in the 3 rd stage. And then removing the spray liquid recovered in the 1 st stage, recovering the spray liquid recovered in the 2 nd stage to the spray assembly and corresponding to the 1 st stage spraying operation, and waiting for the next spraying operation, and recovering the spray liquid recovered in the 3 rd stage to the spray assembly and corresponding to the 2 nd stage spraying operation, and waiting for the next spraying operation.
Because the oil smoke components and the oil smoke content in different stages are different, the composition of the collected and recovered spray liquid after spraying and deoiling is different, and the concentration of the oil smoke in the recovered spray liquid in the later stage is very low, so the oil smoke can be collected for spraying operation in stages.
The recovered spray liquid is judged and selected according to the oil smoke components and the content in different stages and the concentration of the oil smoke in each waste liquid, such as:
Γ * -Γ≥Γ’
wherein Γ is the concentration of oil smoke in the recovered spray liquid. Γ -shaped structure * The smoke content in the air in the area to be purified corresponds to the saturation absorption concentration in the absorption liquid. Γ ' is the mass transfer driving force in the absorption process, the value of Γ ' is related to the temperature, the atomized particle size of the absorption liquid, the composition of the absorption liquid and the like, and Γ ' is not less than
Therefore, the invention can judge and select the spray liquid which is used as the new spray operation from the recovery spray of which stage according to the oil smoke concentration.
The recovered spray liquid is subjected to oil-water separation treatment.
The spraying operation mode of the invention is up-down spraying operation, left-right spraying operation, mixed spraying operation or 360-degree spraying operation. The spraying operation mode of the present invention may be at least one of continuous spraying operation or intermittent spraying operation, or may be a combination of all the spraying operations, and the specific embodiment depends on the actual situation. The spray operation mode of the present embodiment is a vertical spray operation and a continuous spray operation.
The oil smoke deoiling and spraying method comprises the following steps: step one, a lampblack detection device detects lampblack conditions of lampblack size, particle concentration, volatile organic compounds and polycyclic aromatic hydrocarbon concentration in a cooking area; and step two, selecting different types of spray liquids by the oil removal spraying device according to the oil smoke condition obtained in the step one to perform spray adsorption and collection operation on the cooking area. According to the method, different kinds of spray liquid can be selected according to the oil smoke conditions of the oil smoke detection device, such as the oil smoke size, the particle concentration, the volatile organic compounds and the polycyclic aromatic hydrocarbon concentration in the cooking area, and targeted spray adsorption and collection operations are performed on the oil smoke. Meanwhile, the oil smoke deoiling spraying method also can be used for selectively recycling spraying liquid, so that the cost is reduced.
Example 3.
The oil smoke deoiling spraying method has other characteristics the same as those of the embodiment 2, except that: the second step specifically comprises that the oil removal spraying device selects different kinds of spraying liquid according to the oil smoke condition obtained in the first step to spray and adsorb the cooking area and collect the spraying liquid, and then the collected spraying liquid is directly discharged.
In comparison with example 2, the mist spray collected was directly discharged, that is, the mist spray used each time was a new mist spray, and the mist removal efficiency was improved.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted equally without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. The oil removal spraying system according to the kitchen oil smoke components is characterized by being provided with an oil smoke detection device for detecting the oil smoke components and the state of a cooking area in real time and an oil removal spraying device for carrying out corresponding spraying adsorption and collection on the detected oil smoke components, wherein the oil removal spraying device is electrically connected with the oil smoke detection device;
the oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the oil removal spraying device, and the oil removal spraying device receives the oil smoke signals of the oil smoke detection device to start oil removal operation;
the cooking fume detection device is provided with a temperature sensing module for detecting the temperature in a cooking area, a particulate matter sensing assembly for detecting the concentration of particulate matters in the cooking fume in the current cooking area, a calculation module for calculating the concentration of polycyclic aromatic hydrocarbons in the current cooking area, an image acquisition module for analyzing the cooking fume image in the cooking area and obtaining the generated fume in real time and a VOC sensor for detecting the concentration of volatile organic matters in the current cooking area, wherein the temperature sensing module, the particulate matter sensing assembly, the VOC sensor and the image acquisition module are respectively and electrically connected with the calculation module, and the temperature sensing module, the particulate matter sensing assembly, the VOC sensor, the calculation module and the image acquisition module are respectively and electrically connected with a main body of the kitchen fume;
the temperature sensing module senses the temperature in the cooking area to obtain a temperature signal, the obtained temperature signal is used as a temperature output signal to be transmitted to the calculating module, the particulate matter sensing assembly collects the concentration of particulate matters in the oil smoke of the current cooking area to obtain a particulate concentration signal and transmits the particulate concentration signal to the calculating module, the VOC sensor collects the concentration of volatile organic matters of the current cooking area to obtain a VOC concentration signal and transmits the VOC concentration signal to the calculating module, the image collecting module collects the oil smoke image of the cooking area to obtain an oil smoke output signal and transmits the oil smoke output signal to the calculating module, and the calculating module respectively receives the temperature output signal, the oil smoke output signal, the VOC concentration signal and the particulate concentration signal and then processes the oil smoke output signal to obtain the polycyclic aromatic hydrocarbon concentration of the current cooking area in real time;
the calculation module is a calculation module which is constructed by mathematical modeling to obtain mathematical relations of temperature, volatile organic compound concentration, oil smoke size, particle concentration and polycyclic aromatic hydrocarbon concentration in harmful gas in the oil smoke;
the particulate matter sensing assembly comprises a PM2.5 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 2.5 microns in the oil fume in the current cooking area, a PM10 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 10 microns in the oil fume in the current cooking area, a PM1.0 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 1.0 microns in the oil fume in the current cooking area, a PM0.1 sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.1 microns in the oil fume in the current cooking area and a PMA sensor for detecting the concentration of particulate matters with equivalent diameter smaller than or equal to 0.05 microns in the oil fume in the current cooking area, wherein the PM10 sensor, the PM2.5 sensor, the PM1.0 sensor, the PM0.1 sensor and the PMA sensor are respectively electrically connected with the temperature sensing module, the VOC sensor, the computing module, the image acquisition module and the main body of the cigarette machine;
the PM10 sensor collects the concentration of the particulate matters with equivalent diameters smaller than or equal to 10 microns in the oil smoke in the current cooking area to obtain a PM10 concentration signal, and transmits the PM10 concentration signal to the calculation module,
the PM2.5 sensor collects the concentration of the particulate matters with equivalent diameters less than or equal to 2.5 microns in the oil smoke in the current cooking area to obtain a PM2.5 concentration signal, and transmits the PM2.5 concentration signal to the calculation module,
the PM1.0 sensor collects the concentration of particles with equivalent diameter less than or equal to 1.0 micron in the oil smoke in the current cooking area to obtain a PM1.0 concentration signal, and transmits the PM1.0 concentration signal to the calculation module,
the PM0.1 sensor collects the concentration of particles with equivalent diameter less than or equal to 0.1 micron in the oil smoke in the current cooking area to obtain PM0.1 concentration signals, and transmits the PM0.1 concentration signals to the calculation module,
the PMA sensor acquires the concentration of particles with equivalent diameter smaller than or equal to 0.05 micron in the oil smoke in the current cooking area to obtain a PMA concentration signal, and transmits the PMA concentration signal to the calculation module;
the calculation formula of the calculation module is shown as a formula (I),
… … formula (I);
wherein the method comprises the steps ofFor the total concentration of polycyclic aromatic hydrocarbon gas in the cooking zone, +.>For the output data of the temperature sensor module, +.>For the output data of the image acquisition module, +.>For the output data of the particle sensor component, +.>For the output data of the PM10 sensor, < +.>Output data of PM2.5 sensor, < >>Output data of PM0.1 sensor, < >>For the output data of the PMA sensor, < +.>Is output data of the VOC sensor.
2. The oil removal spray system according to claim 1, wherein: the oil removal spraying device is provided with a spraying component for assembling spraying liquid to spray and settle oil smoke and a collecting component for collecting the spraying liquid containing the oil smoke, and the spraying component and the collecting component are respectively and electrically connected with the oil smoke detection device;
the oil smoke detection device detects oil smoke components and conditions in the cooking process in real time to obtain oil smoke signals and sends the oil smoke signals to the spraying assembly and the collecting assembly respectively, the spraying assembly receives the oil smoke signals to start spraying sedimentation work, and the collecting assembly receives the oil smoke signals to start collecting spraying liquid work.
3. The oil removal spray system according to claim 2, wherein: the oil removal spraying device is assembled in the air duct of the external range hood or on the outer surface of the external range hood, and the spraying surface faces to the cooking area;
the oil smoke detection device is assembled on the outer surface of the range hood, and the detection surface faces to the cooking area.
4. A deoiling spray system in accordance with the kitchen fume composition of claim 3, wherein: the computing module is a linear computing module or a nonlinear computing module;
the nonlinear computing module is an exponential computing module, a power computing module, a logarithmic computing module, a neural network computing module or a machine learning computing module;
wherein the machine learning computation module is a deep learning computation module.
5. A method of oil and smoke removal and spray, characterized by having an oil and smoke removal and spray system according to any one of claims 2 to 4, comprising the steps of:
step one, a lampblack detection device detects lampblack conditions of lampblack size, particle concentration, volatile organic compounds and polycyclic aromatic hydrocarbon concentration in a cooking area;
and step two, selecting different types of spray liquids by the oil removal spraying device according to the oil smoke condition obtained in the step one to perform spray adsorption and collection operation on the cooking area.
6. The oil soot removal and spray method according to claim 5, wherein: the second step specifically comprises the steps that the oil removal spraying device selects different types of spraying liquid according to the oil smoke condition obtained in the first step to spray and adsorb a cooking area and collect the spraying liquid, and then the collected spraying liquid is directly discharged.
7. The oil soot removal and spray method according to claim 6, wherein the second step specifically comprises:
step 2.1, the spraying component selects different types of spraying liquid to spray the cooking area according to the oil smoke condition obtained in the step one;
step 2.2, the collecting component collects the spray liquid in step 2.1 in stages to obtain recovered spray liquid,
and 2.3, placing the recovered spray liquid obtained in the step 2.2 in a spray assembly for recycling.
8. The oil soot removal spraying method according to claim 7, wherein: the spraying component selects different types of spraying liquids to spray the cooking area in N stages according to the oil smoke condition obtained in the first step, namely spraying operation in the 1 st stage, … … spraying operation in the I stage, … … spraying operation in the N-1 stage, spraying operation in the N stage, wherein I is less than or equal to 2 and less than N, and both I and N are positive integers;
the step 2.2 is specifically that the collecting assembly collects the spray liquid in the step 2.2 in N stages, and the spray liquid in the 1 st stage is recovered, … …, the spray liquid in the I stage is recovered, … …, the spray liquid in the N-1 stage is recovered, and the spray liquid in the N stage is recovered;
the step 2.3 specifically comprises the steps of recovering the spraying liquid recovered from the I stage to the spraying component and corresponds to the spraying operation from the 1 st stage, … …, recovering the spraying liquid recovered from the N-1 stage to the spraying component and corresponds to the spraying operation from the N-I stage, … …, and recovering the spraying liquid recovered from the N stage to the spraying component and corresponds to the spraying operation from the N-I+1 stage.
9. The oil soot removal spraying method according to claim 8, wherein: and (3) carrying out oil-water separation treatment on the recovered spray liquid.
10. The oil soot oil removal spraying method according to any one of claims 6 to 9, wherein the spraying operation is an up-down spraying operation, a side-to-side spraying operation, a mixed spraying operation or a 360 ° spraying operation; or alternatively
The spraying operation mode is at least one of continuous spraying operation or intermittent spraying operation.
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