CN109611915A - Adaptive filtering net pushes platform - Google Patents
Adaptive filtering net pushes platform Download PDFInfo
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- CN109611915A CN109611915A CN201811484059.7A CN201811484059A CN109611915A CN 109611915 A CN109611915 A CN 109611915A CN 201811484059 A CN201811484059 A CN 201811484059A CN 109611915 A CN109611915 A CN 109611915A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2035—Arrangement or mounting of filters
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2021—Arrangement or mounting of control or safety systems
Abstract
The present invention relates to a kind of adaptive filtering nets to push platform, comprising: oil collecting structure, including oil collection box, oil pooling hood, stabilizer blade, catchment cup, casing, rear cover, front cover and key switch；Smoke discharging structure, including impeller, fan blade, motor and smoke exhaust pipe, the motor are arranged between the front cover and the rear cover, and the smoke exhaust pipe passes through the rear cover；Type analysis equipment, for carrying out food materials type analysis to image after splicing based on different type food materials difference imaging features, to obtain each region that various types food materials occupy in image after the splicing, exported food materials type corresponding to the maximum region of area as main Types；Filter screen pushing equipment is connect with the type analysis equipment, for determining the quantity for the filter screen being pushed in front of impeller based on the main Types.By means of the invention it is possible to effectively extend the service life of easily loss component.
Description
Technical field
The present invention relates to smoke exhaust ventilator fields more particularly to a kind of adaptive filtering net to push platform.
Background technique
Smoke exhaust ventilator mainly has casing, air duct, blower, check-valves, collection discharge equipment, lighting device, power switch and electricity
Source line etc. is constituted.
Casing is made of shell and panel two parts, is handled using cold-reduced sheet surface plastic spraying, not only shape light
It is clean, beautiful non-corrosive, and durability height and easy to clean.
Motor is the core of smoke exhaust ventilator, using totally enclosed single phase capacitor operating type asynchronous motor；Iron-clad is complete
Closing, motor bearings are double row ball bearing, and the class of insulation is the insulation of the pole E, and the capacity of start-up capacitance is 4 microFarads.
Wind wheel uses centrifugal type wind wheel.A diameter of 220mm/240mm.There is silicon alloy aluminium flake to be stamped to form, it is durable
Not modification, dynamic balance performance are good.Air duct is the channel of flue gas, is handled by cold-reduced sheet surface plastic spraying, air channel structure
Reasonability determines the exhaust air rate and noise of entire smoke exhaust ventilator.Check-valves is formed using plastics, and effect is to prevent flue gas from flowing backward.
Fume extractor is made of oil collection box, smoke exhaust pipe, catchment cup and Oil Guide ring.The common Chinese style machine of lighting device using 15~
40W white heat screw-socket bulb: European machine, near-absorption type use cold light source lamp, have one piece of removable transparent organic glass piece outside, by lamp
Tool is closed, and is avoided oil smoke when culinary art from staiing and corrode lamps and lanterns, is guaranteed security appliance.
Summary of the invention
In order to solve the low technical problem of current smoke exhaust ventilator intelligent level, the present invention provides a kind of adaptive mistakes
Strainer pushes platform, carries out uniform formula division to described image based on the signal-to-noise ratio of image, measures each and divide obtained son
The quantity of edge line in image, only the subgraph more to edge line carries out subsequent processing, and edge line is more, amount of image information
It is bigger, so as to improve treatment effeciency；Importantly, in order to reduce to the oily pollution of impeller, fan blade, motor and smoke exhaust pipe with
And loss, the quantity for the filter screen being pushed in front of impeller is determined based on the main Types of current culinary art food materials.
According to an aspect of the present invention, a kind of adaptive filtering net push platform is provided, the platform includes:
Oil collecting structure, including oil collection box, oil pooling hood, stabilizer blade, catchment cup, casing, rear cover, front cover and key switch；Smoke evacuation
Structure, including impeller, fan blade, motor and smoke exhaust pipe, the motor is arranged between the front cover and the rear cover, described
Smoke exhaust pipe passes through the rear cover；The rim of a cup of the catchment cup is arranged in the oil collection box, and the bottom of a cup setting of the catchment cup exists
In the oil pooling hood, the stabilizer blade is connect with the casing, and on the housing, the front cover is arranged for the key switch installation
In the front of the casing, the rear of the casing is arranged in the rear cover；The bottom of oil pooling hood is arranged in vertical sensing apparatus
Portion, including upper images sensor and lower images sensor carry out image sensing operation for the lower section respectively to oil pooling hood,
To obtain on time shaft above continuous multiframe on high-definition image and time shaft high-definition image below continuous multiframe respectively；Image
Sharpening equipment, for receiving when front upper place high-definition image frame and working as front lower place high-definition image frame, towards when front upper place high-definition image
Frame and when front lower place high-definition image frame it is any, to based in high-definition image frame maximum amplitude noise type noise amplitude determine pair
The respective image sharpness that the high-definition image frame is implemented, to obtain instant sharpening image；Edge detection equipment, with the figure
As sharpening equipment connection, for receiving the instant sharpening image, marginal point tonal range is based on from the instant sharpening image
It is middle to extract multiple edge pixel points, the multiple edge pixel point is fitted, to obtain multiple edge lines；Distribution measuring is set
It is standby, it is connect with the edge detection equipment, for receiving the instant sharpening image and the multiple edge line, based on described
The signal-to-noise ratio of instant sharpening image carries out uniform formula division to the instant sharpening image, and to obtain multiple subgraphs, measurement is every
Edge line quantity is more than one or more subgraphs of preset quantity threshold value as one by the edge line quantity in one subgraph
A or multiple target subgraph outputs；Image mosaic device is connect with the distribution measurement apparatus, for receiving when front upper place is high
Clear picture frame and each corresponding one or more target subgraph when front lower place high-definition image frame, will be described when front upper place is high
Corresponding one or more target subgraphs of clear picture frame and described when the corresponding one or more mesh of front lower place high-definition image frame
Mark subgraph is spliced, and to obtain image after corresponding splicing, and sends image after the splicing；Type analysis equipment, with
Described image splices equipment connection, for carrying out food materials to image after the splicing based on different type food materials difference imaging features
Type analysis, to obtain each region that various types food materials occupy in image after the splicing, by the maximum region of area
Corresponding food materials type is exported as main Types；Filter screen pushing equipment is connect with the type analysis equipment, is used for base
The quantity for the filter screen being pushed in front of impeller is determined in the main Types.
More specifically, in adaptive filtering net push platform: described image is spliced equipment and is set by data receiver
Standby, subgraph splices sub- equipment and data send sub- equipment composition；Wherein, the subgraph splice sub- equipment respectively with the number
It is connected according to sub- equipment is received with the sub- equipment of data transmission.
Specific embodiment
The embodiment of adaptive filtering net push platform of the invention will be described in detail below.
Smoke exhaust ventilator is installed on cooking stove top, connects range hood power supply, and driving motor makes wind wheel make high speed rotation, makes
Negative pressuren zone is formed above cooking stove in certain spatial dimension, indoor soot gas is sucked inside range hood, soot gas
It is filtered by oil network, the separation of first time oil smoke is carried out, inside smoke machine air duct, by the rotation of impeller to soot gas
Secondary oil smoke separation is carried out, the oil smoke in wind cabinet is subject to centrifugal forces, and mist of oil is aggregated into oil droplet, collects by oil circuit
To lubricating cup, purified flue gas is finally discharged along fixed access.
In order to overcome above-mentioned deficiency, the present invention has built a kind of adaptive filtering net push platform, can effectively solve the problem that phase
The technical issues of answering.
The adaptive filtering net shown according to an embodiment of the present invention pushes platform
Oil collecting structure, including oil collection box, oil pooling hood, stabilizer blade, catchment cup, casing, rear cover, front cover and key switch；
Smoke discharging structure, including impeller, fan blade, motor and smoke exhaust pipe, motor setting is in the front cover and described
Between rear cover, the smoke exhaust pipe passes through the rear cover；
The rim of a cup of the catchment cup is arranged in the oil collection box, and the bottom of a cup of the catchment cup is arranged in the oil pooling hood
Interior, the stabilizer blade is connect with the casing, and on the housing, the front cover is arranged in the casing for the key switch installation
Front, the rear of the casing is arranged in the rear cover；
The bottom of oil pooling hood, including upper images sensor and lower images sensor is arranged in vertical sensing apparatus, uses
Image sensing operation is carried out in the lower section respectively to oil pooling hood, to obtain continuous multiframe top high-definition image on time shaft respectively
With high-definition image below multiframe continuous on time shaft；
Image sharpening equipment, for receiving when front upper place high-definition image frame and working as front lower place high-definition image frame, towards current
Top high-definition image frame and when front lower place high-definition image frame it is any, make an uproar to based on maximum amplitude noise type in high-definition image frame
Acoustic amplitude determines the respective image sharpness implemented to the high-definition image frame, to obtain instant sharpening image；
Edge detection equipment sharpens equipment with described image and connect, and for receiving the instant sharpening image, is based on edge
Point tonal range extracts multiple edge pixel points from the instant sharpening image, intends the multiple edge pixel point
It closes, to obtain multiple edge lines；
Distribution measurement apparatus is connect with the edge detection equipment, for receiving the instant sharpening image and described
Multiple edge lines, the signal-to-noise ratio based on the instant sharpening image carries out uniform formula division to the instant sharpening image, to obtain
Much a subgraphs measure the edge line quantity in each subgraph, are more than the one of preset quantity threshold value by edge line quantity
A or multiple subgraphs are as one or more target subgraph outputs；
Image mosaic device is connect with the distribution measurement apparatus, for receiving when front upper place high-definition image frame and currently
Each corresponding one or more target subgraph of lower section high-definition image frame, will be described when high-definition image frame in front upper place is corresponding
One or more target subgraphs and the corresponding one or more target subgraphs of front lower place high-definition image frame of working as are spelled
It connects, to obtain image after corresponding splicing, and sends image after the splicing；
Type analysis equipment is connect, for being based on different type food materials difference imaging features with described image splicing equipment
To after the splicing image carry out food materials type analysis, with obtain various types food materials occupied in image after the splicing it is each
A region is exported food materials type corresponding to the maximum region of area as main Types；
Filter screen pushing equipment is connect with the type analysis equipment, for being pushed to based on main Types determination
The quantity of filter screen in front of impeller.
Then, continue that the specific structure of adaptive filtering net push platform of the invention is further detailed.
In adaptive filtering net push platform: described image splices equipment by the sub- equipment of data receiver, subgraph
Splice sub- equipment and data send sub- equipment composition；
Wherein, the sub- equipment of the subgraph splicing sends sub- equipment with the sub- equipment of the data receiver and the data respectively
Connection.
In adaptive filtering net push platform: in described image splicing equipment, the sub- equipment of data receiver
For receiving when front upper place high-definition image frame and each corresponding one or more target subgraph when front lower place high-definition image frame
Picture, the data send sub- equipment for sending image after the splicing；
Wherein, in described image splicing equipment, the subgraph splices sub- equipment for that will work as front upper place high-definition image
The corresponding one or more target subgraphs of frame with when the corresponding one or more target subgraphs of front lower place high-definition image frame into
Row splicing, to obtain image after corresponding splicing.
In adaptive filtering net push platform: in the edge detection equipment, being based on marginal point tonal range
It includes: for each of instant sharpening image pixel that multiple edge pixel points are extracted from the instant sharpening image
Point, determines whether its gray value falls in the marginal point tonal range, when falling in the marginal point tonal range, described in determination
Pixel is edge pixel point, is non-edge pixels point otherwise；
Wherein, in the edge detection equipment, the marginal point tonal range is by marginal point upper limit gray threshold and side
Edge point lower limit gray threshold composition.
In adaptive filtering net push platform: being sharpened between equipment in the vertical sensing apparatus and described image
It further include the first processing equipment and second processing equipment；
First processing equipment works as front upper place high-definition image frame for obtaining, will it is described when front upper place high-definition image frame with
High-definition image frame is compared to obtain when the corresponding image of front upper place high-definition image frame the history being most recently received before above
Shake average value.
In adaptive filtering net push platform: the second processing equipment is connect with first processing equipment,
For being determined based on described image shake average value when the flating average value received is more than or equal to default dithering threshold
To the image-region quantity for carrying out average segmentation when front upper place high-definition image frame, described image shake average value is higher, right
The image-region quantity for carrying out average segmentation when front upper place high-definition image frame is more, executes base respectively to each image-region
In the adaptive recursive filtering processing operation of image-region to obtain each filter field, image-region contrast is smaller, to figure
As region execute adaptive recursive filtering processing operation dynamics it is bigger, by each filter field merge with obtain upper area conjunction
And image.
In adaptive filtering net push platform: the second processing equipment is also used in the flating received
When average value is less than default dithering threshold, to it is described when the adaptive recursive filtering processing of front upper place high-definition image frame overall execution with
It obtains corresponding upper area and merges image；
First processing equipment and the second processing equipment also to when front lower place high-definition image frame execute with it is current on
Square high-definition image frame is identical to be handled to obtain corresponding lower zone and merge image；
Wherein, upper area is merged image replacement when high-definition image frame in front upper place is sent to institute by the second processing equipment
Image sharpening equipment is stated, lower zone is merged into image replacement and is set when high-definition image frame in front lower place is sent to described image sharpening
It is standby.
In adaptive filtering net push platform: fiber optic data communication interface connect with the second processing equipment, is used for
It receives the upper area and merges image and lower zone merging image, and send the upper area and merge image and institute
It states lower zone and merges image；
Wherein, the asic chip that different model is respectively adopted in first processing equipment and the second processing equipment comes real
It is existing；
Wherein, first processing equipment and the second processing equipment are connect with the same clock generation device.
In addition, optical fiber is writing a Chinese character in simplified form for optical fiber, it is a kind of fiber made of glass or plastics, can be used as light conduction work
Tool.Transmission principle is ' total reflection of light '.Fine optical fiber is encapsulated in plastic sheath, allows it to be bent and be unlikely to disconnected
It splits.In general, the emitter of one end of optical fiber uses light emitting diode (light emitting diode, LED) or a branch of sharp
Light pulse is sent to optical fiber by light, and the reception device of the other end of optical fiber detects pulse using light-sensitive element.
In multimode fibre, the diameter of core is 50 μm and 62.5 μm two kinds, substantially suitable with the thickness of the hair of people.And it is single
The diameter of mode fiber core is 8 μm~10 μm, and the most commonly used is 9/125 μm.One layer of refractive index glass lower than core is surrounded outside core
Big envelope, is commonly called as covering, and covering makes light be maintained at in-core.Outside is one layer of thin plastic wrapper, i.e. coat again, is used to
Protect covering.Optical fiber is usually bundled into beam, and there is shell protection in outside.The fibre core usually cross-sectional area made of quartz glass is very
Small double concentric circle cylinder, his quality is crisp, easy fracture, it is therefore desirable to an additional protective layer.
Platform is pushed using adaptive filtering net of the invention, it is low for smoke exhaust ventilator intelligent level in the prior art
The technical issues of, uniform formula division is carried out to described image by the signal-to-noise ratio based on image, measures what each division obtained
The quantity of edge line in subgraph, only the subgraph more to edge line carries out subsequent processing, and edge line is more, image information
Amount is bigger, so as to improve treatment effeciency；Importantly, in order to reduce the oily pollution to impeller, fan blade, motor and smoke exhaust pipe
And loss, the quantity for the filter screen being pushed in front of impeller is determined based on the main Types of current culinary art food materials；To solve
Above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of adaptive filtering net pushes platform, the platform includes:
Oil collecting structure, including oil collection box, oil pooling hood, stabilizer blade, catchment cup, casing, rear cover, front cover and key switch；
Smoke discharging structure, including impeller, fan blade, motor and smoke exhaust pipe, the motor are arranged in the front cover and the rear cover
Between, the smoke exhaust pipe passes through the rear cover；
The rim of a cup of the catchment cup is arranged in the oil collection box, and the bottom of a cup of the catchment cup is arranged in the oil pooling hood, institute
It states stabilizer blade to connect with the casing, the key switch is installed on the housing, before the casing is arranged in the front cover
The rear of the casing is arranged in side, the rear cover；
The bottom of oil pooling hood, including upper images sensor and lower images sensor is arranged in vertical sensing apparatus, for dividing
The other lower section to oil pooling hood carries out image sensing operation, with obtain on time shaft respectively continuous multiframe top high-definition image and when
Between high-definition image below continuous multiframe on axis；
Image sharpening equipment, for receiving when front upper place high-definition image frame and working as front lower place high-definition image frame, towards working as front upper place
High-definition image frame and when front lower place high-definition image frame it is any, to the noise width based on maximum amplitude noise type in high-definition image frame
Value determines the respective image sharpness implemented to the high-definition image frame, to obtain instant sharpening image；
Edge detection equipment sharpens equipment with described image and connect, for receiving the instant sharpening image, based on marginal point ash
Degree range extracts multiple edge pixel points from the instant sharpening image, is fitted to the multiple edge pixel point, with
Obtain multiple edge lines；
Distribution measurement apparatus is connect with the edge detection equipment, for receiving the instant sharpening image and the multiple
Edge line, the signal-to-noise ratio based on the instant sharpening image carries out uniform formula division to the instant sharpening image, more to obtain
A subgraph measures the edge line quantity in each subgraph, by edge line quantity be more than one of preset quantity threshold value or
Multiple subgraphs are as one or more target subgraph outputs；
Image mosaic device is connect with the distribution measurement apparatus, for receiving when front upper place high-definition image frame and working as front lower place
Each corresponding one or more target subgraph of high-definition image frame, will be described when high-definition image frame in front upper place is one corresponding
Or multiple target subgraphs and the corresponding one or more target subgraphs of front lower place high-definition image frame of working as are spliced, with
Image after splicing accordingly is obtained, and sends image after the splicing；
Type analysis equipment is connect with described image splicing equipment, for being based on different type food materials difference imaging features to institute
Image carries out food materials type analysis after stating splicing, to obtain each area that various types food materials occupy in image after the splicing
Domain is exported food materials type corresponding to the maximum region of area as main Types；
Filter screen pushing equipment is connect with the type analysis equipment, for being pushed to impeller based on main Types determination
The quantity of the filter screen in front.
2. adaptive filtering net as described in claim 1 pushes platform, it is characterised in that:
Described image is spliced equipment and is made of the sub- equipment of data receiver, the sub- equipment of subgraph splicing and the sub- equipment of data transmission；
Wherein, the subgraph splices sub- equipment and connects respectively with the sub- equipment of the data receiver and the sub- equipment of data transmission
It connects.
3. adaptive filtering net as claimed in claim 2 pushes platform, it is characterised in that:
In described image splicing equipment, the sub- equipment of data receiver is for receiving when front upper place high-definition image frame and when front lower
Each corresponding one or more target subgraph of square high-definition image frame, the data send sub- equipment for sending the spelling
Connect rear image；
Wherein, in described image splicing equipment, the subgraph splices sub- equipment for that will work as front upper place high-definition image frame pair
The one or more target subgraphs answered are spelled with when the corresponding one or more target subgraphs of front lower place high-definition image frame
It connects, to obtain image after corresponding splicing.
4. adaptive filtering net as claimed in claim 3 pushes platform, it is characterised in that:
In the edge detection equipment, multiple edge pictures are extracted from the instant sharpening image based on marginal point tonal range
Vegetarian refreshments includes: to determine whether its gray value falls in the marginal point for each of instant sharpening image pixel
In tonal range, when falling in the marginal point tonal range, determines that the pixel is edge pixel point, be non-edge otherwise
Pixel；
Wherein, in the edge detection equipment, the marginal point tonal range is by marginal point upper limit gray threshold and marginal point
Lower limit gray threshold composition.
5. adaptive filtering net as claimed in claim 4 pushes platform, it is characterised in that:
Sharpening between equipment in the vertical sensing apparatus and described image further includes the first processing equipment and second processing equipment；
First processing equipment works as front upper place high-definition image frame for acquisition, when front upper place high-definition image frame and before by described in
High-definition image frame is compared to obtain when the corresponding flating of front upper place high-definition image frame above the history being most recently received
Average value.
6. adaptive filtering net as claimed in claim 5 pushes platform, it is characterised in that:
The second processing equipment is connect with first processing equipment, for the flating average value received be greater than etc.
When default dithering threshold, determined to described based on described image shake average value when high-definition image frame in front upper place carries out average mark
The image-region quantity cut, described image shake average value is higher, to described when high-definition image frame in front upper place carries out average segmentation
Image-region quantity it is more, execute the adaptive recursive filtering processing operation based on image-region respectively to each image-region
To obtain each filter field, image-region contrast is smaller, the adaptive recursive filtering processing operation executed to image-region
Dynamics is bigger, each filter field is merged to obtain upper area and merge image.
7. adaptive filtering net as claimed in claim 6 pushes platform, it is characterised in that:
The second processing equipment is also used to work as when the flating average value received is less than default dithering threshold to described
High-definition image frame overall execution adaptive recursive filtering processing in front upper place merges image to obtain corresponding upper area；
First processing equipment and the second processing equipment are also to when high-definition image frame in front lower place executes and works as front upper place height
Clear picture frame is identical to be handled to obtain corresponding lower zone and merge image；
Wherein, upper area is merged image replacement when high-definition image frame in front upper place is sent to the figure by the second processing equipment
As sharpening equipment, lower zone is merged into image replacement and sharpens equipment when high-definition image frame in front lower place is sent to described image.
8. adaptive filtering net as claimed in claim 7 pushes platform, it is characterised in that:
Fiber optic data communication interface is connect with the second processing equipment, for receive the upper area merge image and it is described under
Square region merging technique image, and send the upper area and merge image and lower zone merging image；
Wherein, the asic chip of different model is respectively adopted to realize in first processing equipment and the second processing equipment；
Wherein, first processing equipment and the second processing equipment are connect with the same clock generation device.
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| CN201811484059.7A CN109611915B (en) | 2018-12-06 | 2018-12-06 | Self-adaptive filter screen pushing platform |
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| CN201811484059.7A CN109611915B (en) | 2018-12-06 | 2018-12-06 | Self-adaptive filter screen pushing platform |
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Cited By (1)
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|---|---|---|---|---|
| CN110308679A (en) * | 2019-06-18 | 2019-10-08 | 袁艳荣 | Adaptive model switching system |
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| CN109611915B (en) | 2020-12-18 |
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