CN209013297U - A kind of kitchen ventilator of the fixed vision detection system of band - Google Patents
A kind of kitchen ventilator of the fixed vision detection system of band Download PDFInfo
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Abstract
A kind of kitchen ventilator of the fixed vision detection system of band, it is provided with smoke machine main body, the vision-based detection module for detecting oil smoke size and the spoiler for changing air inlet size according to the big minor adjustment aperture of detection oil smoke of vision-based detection module, vision-based detection module fixing assembling is in smoke machine main body and vision-based detection module is towards corresponding kitchen range region, and spoiler activity is assemblied in the air inlet of smoke machine main body.The vision-based detection module of the kitchen ventilator is assemblied in smoke machine main body, and vision-based detection module is able to detect the aperture of the big minor adjustment spoiler of oil smoke, to change air inlet size, improves the intelligence of kitchen ventilator.A kind of oil smoke concentration detection method, the influence of hardly examined distance, it can be achieved that oil smoke concentration non-contact real-time detection, have many advantages, such as high accuracy and real-time.
Description
Technical field
The utility model relates to kitchen ventilator field, in particular to the kitchen ventilator of a kind of fixed vision detection system of band.
Background technique
In the modern life, many families are all cooked using kitchen range, but existing range hood cannot achieve oil smoke
Machine automatically adjusts fume exhauster air inlet size according to external oil smoke situation.
In the prior art, for the detection of kitchen fume concentration, mainly there are infrared projection method and physical measure.Infrared throwing
It penetrates method and infrared light is emitted by one end, the other end is received, and judges that oil smoke concentration is big by the infrared luminous intensity received
It is small.But there is uncertainty since oil smoke drifts, can also there be manpower in practice and the interference such as block, therefore, it need to be in different location
Multiple infrared transmitters are installed just and can guarantee relatively accurate, the higher cost of oil smoke detection, installation site are required also higher.Object
The principle that detection method is similar to smoke alarm is managed, oil smoke concentration, but this method are judged by floating particle number in detection air
There are two disadvantages can not achieve remote detection first is that detection must just can be carried out when oil smoke touches alarm；Second is that working as
Float in air when being oil smoke but water mist can not detect.
Therefore in view of the shortcomings of the prior art, providing kitchen ventilator and the oil smoke concentration inspection of a kind of fixed vision detection system of band
Survey method is very necessary to solve prior art deficiency.
Utility model content
One purpose of the utility model is to avoid the deficiencies in the prior art place and provide a kind of fixed vision of band
The kitchen ventilator of detection system.The kitchen ventilator with fixed vision detection system, which has, adjusts air inlet according to oil smoke size
The advantages of size.
The above-mentioned purpose of the utility model is realized by following technical measures:
A kind of kitchen ventilator of fixed vision detection system of band is provided, is provided with smoke machine main body, for detecting oil smoke size
Vision-based detection module and according to the big minor adjustment aperture of detection oil smoke of vision-based detection module to change disturbing for air inlet size
Flowing plate, vision-based detection module fixing assembling is in smoke machine main body and vision-based detection module is towards corresponding kitchen range region, and spoiler is movable
It is assemblied in the air inlet of smoke machine main body.
Preferably, above-mentioned vision-based detection module is provided with vision lens.
Preferably, above-mentioned vision lens are wide-angle lens or 360 ° of fish eye lenses.
Preferably, above-mentioned vision-based detection module is handled and is serialized by the initial pictures acquired, is passed sequentially through
The initial pictures of frame and the initial pictures of previous frame are handled afterwards, and obtain the moment locating for each rear frame initial pictures works as forward galley
Oil smoke concentration.
Preferably, above-mentioned smoke machine main body is additionally provided with the control device for controlling spoiler aperture, vision-based detection module
It is electrically connected respectively with control device with spoiler.
Preferably, the oil smoke high low signal of above-mentioned vision-based detection module acquisition hearth corresponding region, and oil smoke size is believed
It number is sent to control device, control device receives oil smoke high low signal and simultaneously handles.
When the size of oil smoke is in corresponding grade, control device sends corresponding spoiler aperture grade to spoiler, flow-disturbing
The aperture level signal of plate receiving control device simultaneously adjusts aperture.
Preferably, above-mentioned vision-based detection module is provided with apparatus main body, vision-based detection portion and prevents oil smoke or steam close
The positive splenium in vision-based detection portion, vision-based detection portion and positive laminate section are not assemblied in apparatus main body.
Preferably, above-mentioned apparatus main body is provided with wind cavity portion, and vision-based detection portion is defined as top towards shooting area, depending on
Feel that test section is assemblied in the lower section of wind cavity portion.
Preferably, the vision lens in above-mentioned vision-based detection portion pass through the through-hole and upward of wind cavity portion.
Preferably, above-mentioned positive splenium is assemblied in the top of wind cavity portion and the small air outlet of positive splenium towards wind cavity portion.
Preferably, above-mentioned wind cavity portion, which is provided with, generates the first wind chamber of air-flow and for from for accommodating positive splenium
The second wind chamber that the gas that one wind chamber air-flow enters raises speed, positive splenium are assemblied in the first wind chamber, vision lens position
In the second wind chamber interior, the first wind chamber and the second wind chamber.
Preferably, above-mentioned apparatus main body is additionally provided with upper cover and lower cover, top of the upper cover fixing buckle together in wind cavity portion, lower cover
It is assemblied in the bottom in vision-based detection portion.
Preferably, above-mentioned upper cover is provided with the small air inlet matched with positive splenium and small air outlet, vision lens pass through
Small air inlet and with the surface of upper cover maintain an equal level.
A kind of kitchen ventilator of the fixed vision detection system of band of the utility model, is provided with smoke machine main body, for detecting
The vision-based detection module of oil smoke size and according to the big minor adjustment aperture of detection oil smoke of vision-based detection module to change air inlet
The spoiler of size, vision-based detection module fixing assembling is in smoke machine main body and vision-based detection module is towards corresponding kitchen range region, disturbs
Flowing plate activity is assemblied in the air inlet of smoke machine main body.The vision-based detection module of the kitchen ventilator is assemblied in smoke machine main body, vision-based detection
Module is able to detect the aperture of the big minor adjustment spoiler of oil smoke, to change air inlet size, improves the intelligence of kitchen ventilator.
Detailed description of the invention
The utility model is further described using attached drawing, but the content in attached drawing is not constituted to the utility model
Any restrictions.
Fig. 1 is that a kind of kitchen ventilator signal of the fixed vision detection system of band of the utility model transmits relationship.
Fig. 2 is a kind of structural perspective of the kitchen ventilator of the fixed vision detection system of band.
Fig. 3 is the schematic cross-section of vision-based detection module.
Fig. 4 is vision-based detection module decomposition diagram.
Fig. 5 is the air current flow direction schematic diagram in Fig. 3.
Fig. 6 is the oil smoke region of the method segmentation of the utility model and the schematic diagram of interference region.
Fig. 1 includes into Fig. 6:
Vision-based detection module 1,
Apparatus main body 11,
Wind cavity portion 111, the first wind chamber 1111, the second wind chamber 1112,
Upper cover 112, small air inlet 1121, small air outlet 1122,
Lower cover 113,
Positive splenium 12,
Vision-based detection portion 13, vision lens 131,
Spoiler 2,
Smoke machine main body 3,
Kitchen range 4.
Specific embodiment
The technical solution of the utility model is described further with the following Examples.
Embodiment 1.
A kind of kitchen ventilator of the fixed vision detection system of band is provided with smoke machine main body 3, for examining as shown in Fig. 1 to 5
Survey the vision-based detection module 1 of oil smoke size and according to the big minor adjustment aperture of detection oil smoke of vision-based detection module 1 to change into
The spoiler 2 of air port size, 1 fixing assembling of vision-based detection module is in smoke machine main body 3 and vision-based detection module 1 is towards corresponding kitchen range
4 regions, 2 activity of spoiler are assemblied in the air inlet of smoke machine main body 3.
The aperture of spoiler 2 refers to that spoiler 2 is flexible to adjust air inlet 1121 along the external air inlet of smoke machine main body 4
Size degree.
The vision-based detection module 1 of the utility model is provided with vision lens 131.The vision lens 131 of the present embodiment are preferred
For wide-angle lens.Wide-angle lens can increase the visual field of Image Acquisition relative to common lens.
The vision-based detection module 1 of the utility model is handled and is serialized by the initial pictures acquired, is successively led to
Later the initial pictures of frame and the initial pictures of previous frame are handled, and obtain the current kitchen at moment locating for each rear frame initial pictures
Room oil smoke concentration.
Smoke machine main body 3 is additionally provided with the control device for controlling 2 aperture of spoiler, vision-based detection module 1 and spoiler 2
It is electrically connected respectively with control device.
Vision-based detection module 1 acquires the oil smoke high low signal of hearth corresponding region, and oil smoke high low signal is sent to control
Device processed, control device receive oil smoke high low signal and handle.
When the size of oil smoke is in corresponding grade, control device sends corresponding 2 aperture grade of spoiler to spoiler 2, disturbs
The aperture level signal of 2 receiving control device of flowing plate simultaneously adjusts aperture.
The course of work of the utility model is as follows: the oil smoke size of 1 detection zone of vision-based detection module, dense when there is oil smoke
When spending high, vision-based detection module 1 issues the oil smoke high low signal of corresponding grade to control device, and control device sends corresponding
2 aperture grade of spoiler to spoiler 2, the aperture level signal of 2 receiving control device of spoiler simultaneously increases aperture, outer to increase
The area of portion's air inlet, so that soot gas quickening be made to detach.Vice versa for the example above, will not enumerate herein.
Vision-based detection module 1 is provided with apparatus main body 11, vision-based detection portion 13 and oil smoke or steam is prevented to examine close to vision
The positive splenium 12 in survey portion 13, vision-based detection portion 13 and positive splenium 12 are assemblied in apparatus main body 11 respectively.
Apparatus main body 11 is provided with wind cavity portion 111, and vision-based detection portion 13 is defined as top, vision inspection towards shooting area
Survey portion 13 is assemblied in the lower section of wind cavity portion 111.
The vision lens 131 in vision-based detection portion 13 pass through the through-hole and upward of wind cavity portion 111.Positive splenium 12 is assemblied in
The small air outlet 1122 of the top of wind cavity portion 111 and positive splenium 12 is towards wind cavity portion 111.
Wind cavity portion 111, which is provided with, generates the first wind chamber 1111 of air-flow and for from first for accommodating positive splenium 12
The second wind chamber 1112 that the gas that 1111 air-flow of wind chamber enters raises speed, positive splenium 12 are assemblied in the first wind chamber
1111, vision lens 131 are located inside the second wind chamber 1112, and the first wind chamber 1111 is connected to the second wind chamber 1112.
Apparatus main body 11 is additionally provided with upper cover 112 and lower cover 113,112 fixing buckle of upper cover together in wind cavity portion 111 top,
Lower cover 113 is assemblied in the bottom in vision-based detection portion 13.
Upper cover 112 is provided with the small air inlet 1121 and small air outlet 1122 matched with positive splenium 12, vision lens 131
Maintain an equal level across small air inlet 1121 and with the surface of upper cover 112.
The air-flow flow process of the vision-based detection module 1 of the utility model is as follows: small air inlet of the positive splenium 12 from upper cover 112
Mouth 1121 sucks gases, and positive splenium 12 again arranges gas to the first wind cavity, and gas flows into the second wind from the first wind chamber 1111
Chamber 1112, because the unappropriated volume of the second wind chamber 1112 is less than the unappropriated body of the second wind chamber 1112
Product, gas raised speed in the second wind chamber 1112, the gas to be raised speed using vision lens 131 and cone structure seam
Gap, gas finally at full throttle leave the positive pressure anti-soil type sighting device, and gas is formed between vision lens 131 and smog
Certain positive pressure, so that smog can not contact vision lens 131.
The positive splenium 12 of the vision-based detection module 1 generates gas at a high speed from the table of the vision lens 131 of vision-based detection module 1
Surface current mistake, so that certain positive pressure is formed between vision lens 131 and smog, so that smog can not contact vision lens 131.
The vision-based detection module 1 can prevent the attachment of oil smoke or steam.
The kitchen ventilator with fixed vision detection system is provided with smoke machine main body 3, for detecting the inspection of oil smoke size vision
It surveys module 1 and changes the spoiler 2 of air inlet size according to the big minor adjustment aperture of detection oil smoke of vision-based detection module 1,
1 fixing assembling of vision-based detection module is in smoke machine main body 3 and vision-based detection module 1 is towards corresponding 4 region of kitchen range, and spoiler 2 is movable
It is assemblied in the air inlet of smoke machine main body 3.The vision-based detection module 1 of the kitchen ventilator is assemblied in smoke machine main body 3, vision-based detection module 1
It is able to detect the aperture of the big minor adjustment spoiler 2 of oil smoke, to change air inlet size, improves the intelligence of kitchen ventilator.
Embodiment 2.
A kind of kitchen ventilator of the fixed vision detection system of band, other features are same as Example 1, the difference is that,
The vision lens 131 of the present embodiment are 360 ° of fish eye lenses.
Compared with Example 1,360 ° of fish eye lenses of the present embodiment are bigger than the visual field of the Image Acquisition of wide-angle lens,
It is more advantageous to and the monitoring range of vision-based detection module 1 is provided.
Embodiment 3.
A kind of oil smoke concentration detection method, vision-based detection module 1 based on the initial pictures that imaging device acquires into
Row processing, initial pictures are grayscale image, and initial pictures collected are serialized, and pass sequentially through the initial pictures and previous frame of rear frame
Initial pictures handled, obtain it is each after the moment locating for frame initial pictures current kitchen fume concentration.In this way,
The oil smoke concentration situation that can also obtain the present frame moment in real time also can according to need even if monitoring each moment current frame image
Oil smoke concentration situation, provide foundation for the automatic smoking dynamics of kitchen ventilator.
It is handled every time by the initial pictures of rear frame and the initial pictures of previous frame, when obtaining locating for rear frame initial pictures
The step process for the current kitchen fume concentration carved is as follows:
(1) initial pictures of rear frame and the initial pictures of previous frame frame difference is carried out to handle to obtain frame difference image；
(2) denoising is carried out to frame difference image in a manner of opening operation, obtains denoising image；
(3) edge detection is carried out to denoising image, marker motion region is as initial area-of-interest；
(4) gray average calculating is carried out to initial area-of-interest and segment smoothing degree calculates, it is equal gray scale will to be met simultaneously
The region of value and smoothness requirements is as next step area-of-interest, and other regions are as interference elimination；
(5) area-of-interest extracted to step (4) carries out statistics of histogram respectively, is divided according to statistical result
Oil smoke concentration grade.Statistical method can be statistics of histogram, also can choose other statistical methods.
In step (1), to collected initial pictures carry out frame difference operate to obtain frame difference image be specifically: vision-based detection mould
A later frame image is made the difference with previous frame image according to the sequencing of the initial pictures received, obtains dynamic area height by block 1
Bright frame difference image.Due in the two field pictures of front and back static region be it is constant, (such as oil smoke drifts, and manpower is waved for dynamic area
Move) it is variation, so black is presented in static region after frame difference, the highlight bar of edge blurry is shown as after dynamic area frame difference
Domain, therefore the frame difference image highlighted by the available dynamic area of frame difference.
The target area of imaging device acquisition indicates that any one frame initial pictures are the imaging of corresponding region S with region S；
Initial pictures are made of m*n pixel.
The gray value of the pixel of frame initial pictures A is indicated afterwards with matrix A H, AH={ ahi,j, ahi,jFrame initial graph after representative
As the i-th row, the corresponding gray value of jth column pixel in A, i is the row where pixel, and j is the column where pixel, 1≤i≤m, 1≤j
≤n；The subregion in frame initial pictures A where the i-th row, jth column pixel is AS afterwardsi,j。
The gray value of the pixel of previous frame initial pictures B indicates with matrix B H, BH={ bhi,j, bhi,jRepresent previous frame initial graph
As the i-th row, the corresponding gray value of jth column pixel in B, the subregion in previous frame initial pictures B where the i-th row, jth column pixel is
BSi,j。
The grey scale pixel value of frame difference image D indicates with matrix D H, DH={ dhi,j}={ ahi,j-bhi,j, dhi,jRepresent frame
I-th row, the corresponding gray value of jth column pixel in difference image D, the subregion in frame difference image D where the i-th row, jth column pixel are
DSi,j；
In frame difference image, | dhi,j|=0 region is in black；|dhi,j| ≠ 0 region is in be highlighted.
After the operation of frame difference, (2) are entered step.Denoising is carried out using opening operation to frame difference image, obtains denoising image,
It is carried out especially by such as under type: etching operation first being carried out to frame difference image, to eliminate noise and the tiny spine in image, broken
Open narrow connection；Expansive working is carried out to the image after corrosion again, restores the smoke characteristics in former frame difference image.
Etching operation is carried out to frame difference image in step (2), is specifically comprised the following steps:
2-11 arbitrarily defines a convolution kernel θ；
Convolution kernel θ and frame difference image are carried out convolution by 2-12；When convolution kernel θ traverses frame difference image, convolution kernel institute is extracted
The pixel grey scale minimum value p of the convolution results and pixel C being overlapped with convolution kernel center in overlay area；
The gray scale of pixel C passes through Matrix C H={ ck,qIndicate, k, q are the row serial number and column serial number of pixel C,
Obtain the convolution results minimum value pixel matrix P obtained in convolution kernel θ traversal frame difference image process, minimum value
The gray scale of pixel matrix P passes through matrix PH={ pk,qIndicate；
The corresponding imparting pixel C of the gray scale of pixel matrix P is obtained corrosion image by 2-13.
Expansive working is carried out to corrosion image in step (2), is specifically comprised the following steps:
2-21 arbitrarily defines a convolution kernel β；
Convolution kernel β and corrosion image are carried out convolution by 2-22；When convolution kernel β traverses corrosion image, convolution kernel institute is extracted
The pixel grey scale maximum value o of the convolution results and pixel R being overlapped with convolution kernel center in overlay area；
The gray scale of pixel R passes through matrix RH={ rl,vIndicate, l, v are the row serial number and column serial number of pixel R,
Obtain the convolution results maximum value pixel matrix O obtained in convolution kernel β traversal corrosion image process, maximum value
The gray scale of pixel matrix O passes through matrix OH={ ol,vIndicate；
The corresponding imparting pixel R of the gray scale of maximum value pixel matrix O is obtained expanding image, obtained expansion by 2-13
Image is to denoise image.
Image noise can be eliminated using opening operation, the separating objects at very thin point, smooth biggish object boundary, simultaneously
Also it can guarantee that the area of highlight regions in original image is basically unchanged, guarantee that the accuracy of subsequent detection is unaffected.
Step (3) carries out edge detection to denoising image, and marker motion region is as initial area-of-interest, specifically:
Using wavelet transformation, the edge for detecting frame difference image highlight regions is simultaneously marked, using the region marked as initially feeling emerging
Interesting region.
Since the gray value of image border and the gray value of neighbor pixel can generate biggish gray value gradient, according to side
This feature of edge sets a filter, traverses frame difference image with the filter.Step (3) carries out as follows:
3-1 defines a filter Y, and filter is t*t matrix, and t is odd number.Filter selects odd matrix, to ensure
Only one central point, preferably 3*3 matrix, have the characteristics that calculation amount is small.
3-2 makes filter Y traversal denoising image, calculates filter and go where the central pixel point at each position
It makes an uproar the gray values of other pixels in the gray value and center pixel vertex neighborhood of image, and filter is calculated according to formula (I)
The edge detection value X of central pixel point at each positionz, z is label when filter Y traversal denoises image,
F, g is the matrix serial number of pixel, the pixel institute that 1≤f≤t, 1≤g≤t, e are filter at each position
Denoising image gray value；α is weight coefficient, corresponding with filter location.
3-3, by central pixel point edge detection value X of the filter at each positionzWith center pixel vertex neighborhood its
The gray value of its pixel subtracts each other, and judges whether the absolute value of difference is greater than threshold value Δ；
Statistics is greater than the quantity of threshold value, if quantity is more thanDetermine the central pixel point pair of filter present position
The pixel position for the denoising image answered is marginal point, and is marked；
3-4, complete denoising image of filter traversal, obtains the markd marginal point of institute, obtains preliminary area-of-interest.
Because people is when cooking operation, hand can brandished always, can include oil smoke and manpower in the image after frame difference is complete
The interference region of the moving objects such as operation, needs the influence in exclusive PCR region, this is also before carrying out oil smoke concentration identification
Where the difficult point of the utility model patent.
But the direction of motion of oil smoke has randomness, the direction of motion of manpower, slice is relatively unambiguous and feature is different,
Numerically performance is exactly that grey value difference is larger, thus:
1) oil smoke moving region is lower than the brightness of manpower, slice moving region on the image after frame difference, so corresponding oil
The gray value mean value in cigarette district domain is also below manpower, the gray average of slice moving region；
2) grey value profile of oil smoke moving region is relatively concentrated on the image after frame difference, and the moving region of manpower, slice
The gray value on boundary is larger compared with the jump of the central area in region, so the image in the region is not smooth enough, corresponding gray value
Variance is larger.
Using the two characteristics, step (4) is specifically to carry out gray average, segment smoothing to each initial area-of-interest
Degree calculates, and obtains the corresponding gray average of each initial area-of-interest and gray scale smoothness, and satisfaction simultaneously is calculated
Gray average is less than gray threshold, gray scale smoothness is less than the initial area-of-interest of gray scale smoothness threshold as region of interest
Other initial area-of-interests are determined as interference region by domain.
Gray threshold, gray scale smoothness threshold magnitude can flexible setting according to specific needs, details are not described herein.Step
Suddenly (4) complete the identification in oil smoke region and the exclusion of interference region.
Fig. 6 illustrates the schematic diagram of the oil smoke region that a method using the utility model is divided and interference region, can
See, the method for the utility model can effectively exclude interference region.
The area-of-interest extracted in step (5) to step (4) carries out statistics of histogram respectively, is tied according to statistics
Fruit divides oil smoke concentration grade, specifically:
By all pixels in region of interest area image, according to the size of gray value, the frequency of its appearance is counted；
Further according to the concentration scale quantity that needs divide, 10 are taken as siding-to-siding block length, counts the pixel in each gray scale interval
Number is put, the corresponding oil smoke that divides of the pixel number in each gray scale interval is corresponding concentration scale.
It should be noted that the selection of siding-to-siding block length is not limited to 10, other quantity also can choose.
The criteria for classifying of oil smoke concentration can specifically be set, such as setting dense smoke, medium grade cigarette or low cigarette, specific value with
Subject to actual demand, details are not described herein.
The oil smoke concentration detection method of the utility model provides a kind of infrared projection method and physical measure of being different from
A kind of oil smoke concentration detection method.The oil smoke concentration detection method, the influence of hardly examined distance is, it can be achieved that oil smoke concentration
Non-contact real-time detection, have many advantages, such as high accuracy and real-time.
The utility model oil smoke concentration detection method, can be set in kitchen ventilator, be set by the imaging that kitchen ventilator is arranged
The image of standby acquisition kitchen ventilator stove head region, and be delivered to vision-based detection module 1, vision-based detection module 1 is by the oil smoke grade of processing
Structure is delivered to main control unit, and main control unit controls smoke machine extracting force according to the oil smoke grade of smoke machine.More accurately to kitchen
Room oil smoke carries out suction process.
Finally it should be noted that above embodiments are only to illustrate the technical solution of the utility model rather than to this is practical
The limitation of novel protected range, although being explained in detail referring to preferred embodiment to the utility model, the common skill of this field
Art personnel, which should be appreciated that, can be modified or replaced equivalently technical solutions of the utility model, practical new without departing from this
The spirit and scope of type technical solution.
Claims (7)
1. a kind of kitchen ventilator of the fixed vision detection system of band, it is characterised in that: it is provided with smoke machine main body, for detecting oil smoke
The vision-based detection module of size and according to the big minor adjustment aperture of detection oil smoke of vision-based detection module to change air inlet size
Spoiler, vision-based detection module fixing assembling is in smoke machine main body and vision-based detection module is towards corresponding kitchen range region, spoiler
Activity is assemblied in the air inlet of smoke machine main body.
2. the kitchen ventilator of the fixed vision detection system of band according to claim 1, it is characterised in that: the vision-based detection
Module is provided with vision lens；
The vision lens are wide-angle lens or 360 ° of fish eye lenses.
3. the kitchen ventilator of the fixed vision detection system of band according to claim 2, it is characterised in that: the vision-based detection
Module is handled and is serialized by the initial pictures acquired, and the initial pictures of rear frame and the initial graph of previous frame are passed sequentially through
As being handled, the current kitchen fume concentration at moment locating for each rear frame initial pictures is obtained；
The smoke machine main body is additionally provided with the control device for controlling spoiler aperture, vision-based detection module and spoiler difference
It is electrically connected with control device.
4. the kitchen ventilator of the fixed vision detection system of band according to claim 3, it is characterised in that: the vision-based detection
Module acquires the oil smoke high low signal of hearth corresponding region, and oil smoke high low signal is sent to control device, and control device connects
It receives oil smoke high low signal and handles；
When the size of oil smoke is in corresponding grade, control device sends corresponding spoiler aperture grade to spoiler, and spoiler connects
It receives the aperture level signal of control device and adjusts aperture.
5. the kitchen ventilator of the fixed vision detection system of band according to claim 4, it is characterised in that: the vision-based detection
Module is provided with apparatus main body, vision-based detection portion and prevents oil smoke or steam close to the positive splenium in vision-based detection portion, vision-based detection
Portion and positive laminate section are not assemblied in apparatus main body.
6. the kitchen ventilator of the fixed vision detection system of band according to claim 5, it is characterised in that: described device main body
It is provided with wind cavity portion, vision-based detection portion is defined as top towards shooting area, vision-based detection portion is assemblied in the lower section of wind cavity portion；
The vision lens in the vision-based detection portion pass through the through-hole and upward of wind cavity portion；
The positive splenium is assemblied in the small air outlet of the top of wind cavity portion and positive splenium towards wind cavity portion.
7. the kitchen ventilator of the fixed vision detection system of band according to claim 6, it is characterised in that: the wind cavity portion is set
It is equipped with and generates the first wind chamber of air-flow and for carrying out to the gas entered from the first wind chamber air-flow for accommodating positive splenium
Second wind chamber of speed-raising, positive splenium are assemblied in the first wind chamber, and vision lens are located at the second wind chamber interior, the first wind chamber
With the second wind chamber；
Described device main body is additionally provided with upper cover and lower cover, and for upper cover fixing buckle together in the top of wind cavity portion, lower cover is assemblied in vision
The bottom of test section；
The upper cover is provided with the small air inlet and small air outlet matched with positive splenium, vision lens pass through small air inlet and with
The surface of upper cover maintains an equal level.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109028225A (en) * | 2018-09-29 | 2018-12-18 | 佛山市云米电器科技有限公司 | A kind of kitchen ventilator and oil smoke concentration detection method of the fixed vision detection system of band |
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2018
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109028225A (en) * | 2018-09-29 | 2018-12-18 | 佛山市云米电器科技有限公司 | A kind of kitchen ventilator and oil smoke concentration detection method of the fixed vision detection system of band |
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