CN109480741A - Subsequent wash number selects system - Google Patents
Subsequent wash number selects system Download PDFInfo
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- CN109480741A CN109480741A CN201811477338.0A CN201811477338A CN109480741A CN 109480741 A CN109480741 A CN 109480741A CN 201811477338 A CN201811477338 A CN 201811477338A CN 109480741 A CN109480741 A CN 109480741A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/46—Devices for the automatic control of the different phases of cleaning ; Controlling devices
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/14—Washing or rinsing machines for crockery or tableware with stationary crockery baskets and spraying devices within the cleaning chamber
- A47L15/18—Washing or rinsing machines for crockery or tableware with stationary crockery baskets and spraying devices within the cleaning chamber with movably-mounted spraying devices
- A47L15/22—Rotary spraying devices
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/34—Smoothing or thinning of the pattern; Morphological operations; Skeletonisation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L2501/00—Output in controlling method of washing or rinsing machines for crockery or tableware, i.e. quantities or components controlled, or actions performed by the controlling device executing the controlling method
- A47L2501/36—Other output
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of subsequent wash numbers to select system, comprising: machine washing equipment, including nut, gushing arm, sink, hole for water spraying, base, hollow rotating shaft, water outlet window and seal washer；Control panel is made of glass substrate, transparent conductive film and protective film, and the rear of glass substrate is arranged in transparent conductive film, and the rear of transparent conductive film is arranged in protective film；Nut is used to gushing arm being mounted on base, and sink and hole for water spraying are all disposed on gushing arm；It is provided with water outlet window below hollow rotating shaft, is discharged below window and is provided with seal washer, the central location of base is arranged in hollow rotating shaft, for driving gushing arm to rotate；Number analyzing device, for parsing the number of subsequent cleaning based on water pollution degree, water pollution degree is lower, and the number of the subsequent cleaning of parsing is fewer.Through the invention, it is ensured that the washing effect of machine washing equipment.
Description
Technical field
The present invention relates to machine washing fields more particularly to a kind of subsequent wash number to select system.
Background technique
The parts such as machine washing equipment mainly adds by machine, cleaning system, rinse-system and electrical equipment control form.By stainless
Molten steel pump extracts water from sink out to be pressurizeed and is recycled, and the water temperature in sink is controlled by temperature controller at 55 DEG C or so.It is to wash
It washs and is operated with rinse cycle mode.Washing basket is fixed in washing process, and upper and lower washing arm loses rotation by washing water.This
The advantages of mode, is that washing arm can clean bowl, dish from all angles, and dead angle is not present, ensure that washing quality.
Need to be added special purpose detergent in type washing trough, the main function of detergent is greasy and residual in removing dishes
Slag, and it is suspended in this this greasy and residue in type washing trough, then overflow to outside by rinsing inflow, it is effective to reduce washing
Greasy dirt is accumulated in the process.Master is rinsing program after washing, and rinse arm sprays 82 DEG C or so of high temperature water purification, a upper program
Rinse water is used as next washing water, to ensure that the spatter property of washing water, is also saved and is used water.When rinsing, distributor is used
It is automatically added to drier, can volatilize rapidly tableware surface moisture, leave no trace.
Summary of the invention
In order to solve the technical issues of Current mechanical washing facility lacks subsequent wash number decision-making mechanism, the present invention is provided
A kind of subsequent wash number selects system.
For this purpose, the present invention needs to have inventive point crucial at following two:
(1) on the basis of high-precision, efficient image procossing, the dustiness based on the water body in the sink being resolved to
Determine the subsequent wash number needed；
(2) introduce matching treatment equipment with determine the distortion factor of benchmark undistorted image to present image the distortion factor ratio
Example, and the corresponding recovery filtering strategies to the present image are determined based on the numeric distribution range of the ratio, to guarantee
Restore filtering processing effect.
According to an aspect of the present invention, a kind of subsequent wash number selection system is provided, the system comprises:
Machine washing equipment, including nut, gushing arm, sink, hole for water spraying, base, hollow rotating shaft, water outlet window and gasket
Circle；Control panel is made of glass substrate, transparent conductive film and protective film, and the transparent conductive film is arranged in the glass base
The rear of the transparent conductive film is arranged in the rear of plate, the protective film.
More specifically, in the subsequent wash number selection system: the nut is used to the gushing arm being mounted on institute
It states on base, the sink and the hole for water spraying are all disposed on the gushing arm.
More specifically, in the subsequent wash number selection system: water outlet window is provided with below the hollow rotating shaft,
It is provided with seal washer below the water outlet window, the central location of the base is arranged in the hollow rotating shaft, for driving
The gushing arm rotation.
More specifically, in the subsequent wash number selection system, further includes:
Number analyzing device parses subsequent cleaning for receiving water pollution degree, and based on the water pollution degree
Number, the water pollution degree is lower, and the number of the subsequent cleaning of parsing is fewer；Water body capture apparatus, for the sink
Interior water body is taken on site, and to obtain corresponding sink water body image, and exports the sink water body image；Numerical value extracts
Equipment is connect with the water body capture apparatus, including built-in RAM memory, described for benchmark undistorted image to be stored in advance
The below default distortion factor of the distortion factor of each region in benchmark undistorted image；The numerical value extract equipment is also used to receive
The sink water body image executes point of each red color channel value based on each composition pixel to the sink water body image
Analysis also executes the benchmark undistorted image and is based on each composition with the red distortion factor of the determination sink water body image
The analysis of each red color channel value of pixel, with the red distortion factor of the determination benchmark undistorted image；Matching treatment is set
It is standby, it is connect with the numerical value extract equipment, the red distortion factor and the benchmark for receiving the sink water body image are without mistake
The red distortion factor of true image determines the red distortion factor of the benchmark undistorted image to the red of the sink water body image
The ratio of the distortion factor, and determine that the corresponding recovery to the sink water body image is filtered based on the numeric distribution range of the ratio
Wave strategy；In the matching treatment equipment, when the numeric distribution of the ratio is between 0-0.25, determine to the water
The corresponding recovery filtering strategies of slot water body image are primary recovery filter patterns, when the numeric distribution of the ratio is in 0.25-
When between 0.75, the corresponding recovery filtering strategies to the sink water body image determined are to restore filter patterns twice, when
When the numeric distribution of the ratio is between 0.75-1, the determining corresponding recovery filtering strategies to the sink water body image
Repeatedly to restore filter patterns, and when the numerical value of the ratio is more than or equal to 1, the sink water body image is not executed multiple
Original filtering processing；In the matching treatment equipment, the corresponding recovery filtering strategies to the sink water body image are being determined
Afterwards, using the corresponding filtering strategies that restore to the corresponding pixel value recovery filtering processing of sink water body image execution, to obtain
It obtains and restores filtering image accordingly；Regimen judges equipment, connects respectively with the number analyzing device and the matching treatment equipment
It connects, for receiving the recovery filtering image, each gray value for restoring each pixel in filtering image is obtained, to institute
It states each gray value and carries out mean value computation to obtain corresponding gray reference value, and determined based on the gray reference value corresponding
Water pollution degree.
More specifically, in the subsequent wash number selection system: judging in equipment in the regimen, be based on the ash
Degree reference value determines that corresponding water pollution degree includes: that the gray reference value is smaller, and the water pollution degree is lower.
Specific embodiment
The embodiment of subsequent wash number selection system of the invention will be described in detail below.
After the water filling heating of machine washing equipment, washing pump driving generates hot high pressure water flow and carries out 360 degree of machines to tableware surface
Tool formula is washed away and decomposition of the detergent to tableware surface greasy dirt and residue, and hot water makes the splashing of immersion of swill in addition
It obtains greasy dirt and residue is decomposed and fallen off rapidly, and reach the double effects of cleaning and degerming.70 DEG C of high-temperature-hot-waters wash away meal repeatedly
Tool and inner cavity, after cleaning procedure, intracavitary tableware still keeps higher temperature, prevents condensed water；Inner wall is then quickly cooled down,
Intracavitary vapor rapid condensation is in inner wall；To guarantee that tableware is clean, dry and comfortable.
In order to overcome above-mentioned deficiency, the present invention has built a kind of subsequent wash number selection system, can effectively solve the problem that phase
The technical issues of answering.
Show according to an embodiment of the present invention subsequent wash number selection system include:
Machine washing equipment, including nut, gushing arm, sink, hole for water spraying, base, hollow rotating shaft, water outlet window and gasket
Circle；
Control panel is made of glass substrate, transparent conductive film and protective film, and the transparent conductive film is arranged in the glass
The rear of the transparent conductive film is arranged in the rear of glass substrate, the protective film.
Then, continue that the specific structure of subsequent wash number selection system of the invention is further detailed.
In the subsequent wash number selection system: the nut is used to the gushing arm being mounted on the base,
The sink and the hole for water spraying are all disposed on the gushing arm.
In the subsequent wash number selection system: being provided with water outlet window, the water outlet below the hollow rotating shaft
Seal washer is provided with below window, the central location of the base is arranged in the hollow rotating shaft, for driving the gushing arm
Rotation.
In the subsequent wash number selection system, further includes:
Number analyzing device parses subsequent cleaning for receiving water pollution degree, and based on the water pollution degree
Number, the water pollution degree is lower, and the number of the subsequent cleaning of parsing is fewer；
Water body capture apparatus, for the water body in the sink to be taken on site, to obtain corresponding sink water body
Image, and export the sink water body image；
Numerical value extract equipment is connect with the water body capture apparatus, including built-in RAM memory, for base to be stored in advance
Quasi- undistorted image, the below default distortion factor of the distortion factor of each region in the benchmark undistorted image；
The numerical value extract equipment is also used to receive the sink water body image, is based on to sink water body image execution
The analysis of each red color channel value of each composition pixel, it is also right with the red distortion factor of the determination sink water body image
The benchmark undistorted image executes the analysis of each red color channel value based on each composition pixel, with the determination benchmark
The red distortion factor of undistorted image；
Matching treatment equipment is connect with the numerical value extract equipment, is lost for receiving the red of the sink water body image
The red distortion factor of true degree and the benchmark undistorted image determines the red distortion factor of the benchmark undistorted image described in
The ratio of the red distortion factor of sink water body image, and determined based on the numeric distribution range of the ratio to the sink water body
The corresponding recovery filtering strategies of image；
In the matching treatment equipment, when the numeric distribution of the ratio is between 0-0.25, determine to described
The corresponding recovery filtering strategies of sink water body image are primary recovery filter patterns, when the numeric distribution of the ratio exists
When between 0.25-0.75, the corresponding recovery filtering strategies to the sink water body image determined are to restore filtering mould twice
Formula, when the numeric distribution of the ratio is between 0.75-1, the corresponding recovery to the sink water body image determined is filtered
Wave strategy is repeatedly recovery filter patterns, and when the numerical value of the ratio is more than or equal to 1, not to the sink water body image
It executes and restores filtering processing；
In the matching treatment equipment, after determining to the corresponding recovery filtering strategies of the sink water body image,
Using the corresponding filtering strategies that restore to the corresponding pixel value recovery filtering processing of sink water body image execution, to obtain phase
The recovery filtering image answered；
Regimen judges equipment, connect respectively with the number analyzing device and the matching treatment equipment, for receiving
Recovery filtering image is stated, each gray value for restoring each pixel in filtering image is obtained, to each gray value
Mean value computation is carried out to obtain corresponding gray reference value, and corresponding water pollution degree is determined based on the gray reference value.
In the subsequent wash number selection system: judging in equipment in the regimen, be based on the gray reference value
Determine that corresponding water pollution degree includes: that the gray reference value is smaller, the water pollution degree is lower.
In the subsequent wash number selection system: the matching treatment equipment further include it is primary restore filter unit,
Filter unit is restored twice and repeatedly restores filter unit, and the primary recovery filter unit described restores filter unit twice
Same clock generator is shared with the multiple recovery filter unit.
In the subsequent wash number selection system, further includes:
Gradient analysis equipment is connect with the matching treatment equipment, for receiving the recovery filtering image, described in acquisition
The gray value for restoring each pixel in filtering image, determines the gradient of all directions of the gray value of each pixel to make
For gray value gradient, the corresponding scene complexity of the recovery filtering image is determined based on the gray value gradient of each pixel.
In the subsequent wash number selection system, further includes:
Selective filter equipment judges that equipment and the gradient analysis equipment are connect, for connecing with the regimen respectively
When the scene complexity received is more than or equal to default complexity threshold, is determined based on the scene complexity and the recovery is filtered
Image carries out the images fragment quantity of average segmentation, and the scene complexity is higher, is averaged to the recovery filtering image
The images fragment quantity of segmentation is more, executes the behaviour of the filtering processing based on images fragment noise amplitude respectively to each images fragment
Make to obtain each filtering fragment, images fragment noise amplitude is smaller, and the filtering processing manipulation strength executed to images fragment is got over
It is small, each filtering fragment is executed into the concatenation of stitching portion smoothing processing to obtain selective filter image and the choosing
Selecting property filter apparatus is also used to when the scene complexity received is less than default complexity threshold, to the recovery filtering image
Full image executes filtering operation to obtain selective filter image.
In the subsequent wash number selection system: the selective filter equipment replaces the selective filter image
It changes the recovery filtering image and is sent to the regimen and judge equipment.
In addition, image filtering mode used in the selective filter equipment, is retaining image minutia as far as possible
Under the conditions of the noise of target image is inhibited, be indispensable operation in image preprocessing, the quality for the treatment of effect
The validity and reliability of subsequent image processing and analysis will be directly influenced.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake
The often pollution by a variety of noises in journey.In addition, certain links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on the image and cause the isolated of stronger visual effect
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image recognition.The filter for constructing a kind of effectively inhibition noise must be taken into consideration
Two basic problems: the noise that can be effectively removed in target and background；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One of common image filtering mode is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
When composing aliasing or such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while filtering out noise, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approximatively can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
System is selected using subsequent wash number of the invention, is lacked for machine washing equipment in the prior art subsequent clear
The technical issues of washing number decision-making mechanism, on the basis of high-precision, efficient image procossing, based in the sink being resolved to
Water body dustiness determine need subsequent wash number；Importantly, introducing matching treatment equipment also to determine benchmark
The distortion factor of undistorted image to present image the distortion factor ratio, and based on the numeric distribution range of the ratio determine pair
The corresponding recovery filtering strategies of the present image, to guarantee to restore filtering processing effect.
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 (9)
1. a kind of subsequent wash number selects system, the system comprises:
Machine washing equipment, including nut, gushing arm, sink, hole for water spraying, base, hollow rotating shaft, water outlet window and seal washer；
Control panel is made of glass substrate, transparent conductive film and protective film, and the transparent conductive film is arranged in the glass base
The rear of the transparent conductive film is arranged in the rear of plate, the protective film.
2. subsequent wash number as described in claim 1 selects system, it is characterised in that:
The nut is used to the gushing arm being mounted on the base, and the sink and the hole for water spraying are all disposed within the spray
On arm.
3. subsequent wash number as claimed in claim 2 selects system, it is characterised in that:
It is provided with water outlet window below the hollow rotating shaft, is provided with seal washer below the water outlet window, described hollow turn
The central location of the base is arranged in axis, for driving the gushing arm to rotate.
4. subsequent wash number as claimed in claim 3 selects system, which is characterized in that the system also includes:
Number analyzing device for receiving water pollution degree, and parses based on the water pollution degree number of subsequent cleaning,
The water pollution degree is lower, and the number of the subsequent cleaning of parsing is fewer；
Water body capture apparatus, for the water body in the sink to be taken on site, to obtain corresponding sink water body image,
And export the sink water body image；
Numerical value extract equipment is connect with the water body capture apparatus, including built-in RAM memory, for be stored in advance benchmark without
Distorted image, the below default distortion factor of the distortion factor of each region in the benchmark undistorted image；
The numerical value extract equipment is also used to receive the sink water body image, executes the sink water body image based on each
The analysis for forming each red color channel value of pixel, with the red distortion factor of the determination sink water body image, also to described
Benchmark undistorted image executes the analysis of each red color channel value based on each composition pixel, with the determination benchmark without mistake
The red distortion factor of true image；
Matching treatment equipment is connect with the numerical value extract equipment, for receiving the red distortion factor of the sink water body image
With the red distortion factor of the benchmark undistorted image, determine the red distortion factor of the benchmark undistorted image to the sink
The ratio of the red distortion factor of water body image, and determined based on the numeric distribution range of the ratio to the sink water body image
Corresponding recovery filtering strategies；
In the matching treatment equipment, when the numeric distribution of the ratio is between 0-0.25, determine to the sink
The corresponding recovery filtering strategies of water body image are primary recovery filter patterns, when the numeric distribution of the ratio is in 0.25-
When between 0.75, the corresponding recovery filtering strategies to the sink water body image determined are to restore filter patterns twice, when
When the numeric distribution of the ratio is between 0.75-1, the determining corresponding recovery filtering strategies to the sink water body image
Repeatedly to restore filter patterns, and when the numerical value of the ratio is more than or equal to 1, the sink water body image is not executed multiple
Original filtering processing；
In the matching treatment equipment, after determining to the corresponding recovery filtering strategies of the sink water body image, use
The corresponding filtering strategies that restore are corresponding to obtain to the corresponding pixel value recovery filtering processing of sink water body image execution
Restore filtering image；
Regimen judges equipment, connect respectively with the number analyzing device and the matching treatment equipment, described multiple for receiving
Former filtering image obtains each gray value for restoring each pixel in filtering image, carries out to each gray value
Mean value computation determines corresponding water pollution degree based on the gray reference value to obtain corresponding gray reference value.
5. subsequent wash number as claimed in claim 4 selects system, it is characterised in that:
Judge in equipment in the regimen, determines that corresponding water pollution degree includes: the gray scale based on the gray reference value
Reference value is smaller, and the water pollution degree is lower.
6. subsequent wash number as claimed in claim 5 selects system, it is characterised in that:
The matching treatment equipment further includes primary recovery filter unit, restores filter unit twice and repeatedly restore filtering list
Member, the primary recovery filter unit, the recovery filter unit twice and the multiple recovery filter unit are shared with for the moment
Clock generator.
7. subsequent wash number as claimed in claim 6 selects system, which is characterized in that the system also includes:
Gradient analysis equipment is connect with the matching treatment equipment, for receiving the recovery filtering image, obtains the recovery
The gray value of each pixel in filtering image determines the gradients of all directions of the gray value of each pixel using as ash
Angle value gradient determines the corresponding scene complexity of the recovery filtering image based on the gray value gradient of each pixel.
8. subsequent wash number as claimed in claim 7 selects system, which is characterized in that the system also includes:
Selective filter equipment judges that equipment and the gradient analysis equipment are connect, for receiving with the regimen respectively
Scene complexity when being more than or equal to default complexity threshold, based on scene complexity determination to the recovery filtering image
The images fragment quantity of average segmentation is carried out, the scene complexity is higher, carries out average segmentation to the recovery filtering image
Images fragment quantity it is more, to each images fragment execute respectively the filtering processing based on images fragment noise amplitude operation with
Each filtering fragment is obtained, images fragment noise amplitude is smaller, and the filtering processing manipulation strength executed to images fragment is smaller, will
Each filtering fragment executes the concatenation of stitching portion smoothing processing to obtain selective filter image and the selectivity filter
Wave device is also used to when the scene complexity received is less than default complexity threshold, to the recovery filtering image full width figure
As executing filtering operation to obtain selective filter image.
9. subsequent wash number as claimed in claim 8 selects system, it is characterised in that:
The selective filter image is replaced the recovery filtering image and is sent to the regimen by the selective filter equipment
Judge equipment.
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| CN201811477338.0A CN109480741A (en) | 2018-12-05 | 2018-12-05 | Subsequent wash number selects system |
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| CN201811477338.0A CN109480741A (en) | 2018-12-05 | 2018-12-05 | Subsequent wash number selects system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110420000A (en) * | 2019-08-26 | 2019-11-08 | 佛山市百斯特电器科技有限公司 | A kind of the determination method and dish-washing machine of cleaning model |
| CN115120149A (en) * | 2021-03-25 | 2022-09-30 | 深圳银星智能集团股份有限公司 | Cleaning method, device and maintenance station |
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Application publication date: 20190319 |