CN109297116A - Automate dust-falling mechanism - Google Patents
Automate dust-falling mechanism Download PDFInfo
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- CN109297116A CN109297116A CN201811470282.6A CN201811470282A CN109297116A CN 109297116 A CN109297116 A CN 109297116A CN 201811470282 A CN201811470282 A CN 201811470282A CN 109297116 A CN109297116 A CN 109297116A
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- 230000007246 mechanism Effects 0.000 title claims abstract description 48
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 claims abstract description 84
- 239000000428 dust Substances 0.000 claims abstract description 61
- 238000005259 measurement Methods 0.000 claims abstract description 4
- 238000001914 filtration Methods 0.000 claims description 55
- 235000019256 formaldehyde Nutrition 0.000 claims description 24
- 150000001875 compounds Chemical class 0.000 claims description 12
- 238000013475 authorization Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 6
- 230000037237 body shape Effects 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 11
- 150000001450 anions Chemical class 0.000 description 5
- 238000004140 cleaning Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 241000894006 Bacteria Species 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000004887 air purification Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 239000011941 photocatalyst Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 238000000746 purification Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 239000000809 air pollutant Substances 0.000 description 1
- 231100001243 air pollutant Toxicity 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000006555 catalytic reaction Methods 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000003795 desorption Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005367 electrostatic precipitation Methods 0.000 description 1
- 125000002485 formyl group Chemical class [H]C(*)=O 0.000 description 1
- 239000003517 fume Substances 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000004579 marble Substances 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 239000013618 particulate matter Substances 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/16—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by purification, e.g. by filtering; by sterilisation; by ozonisation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/64—Airborne particle content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Signal Processing (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention relates to a kind of automation dust-falling mechanisms, comprising: dust detector is arranged on the plastic front board of dust settler, for detecting the dust concentration around dust settler, to export as real-time dust concentration;Formaldehyde measurement instrument, is arranged on the plastic front board of dust settler, for detecting the concentration of formaldehyde around dust settler, to export as real-time concentration of formaldehyde;Dust warning device, for when the real-time dust concentration received is more than limitation, carrying out corresponding dust alarm operation;Formaldehyde warning device, for when the real-time concentration of formaldehyde received is more than limitation, carrying out corresponding formaldehyde alarm operation;Mode activated equipment, connect with dust settler, refers to personnel's name for receiving, and determines corresponding operational mode based on reference to personnel's name, and execute the driving to the present mode of dust settler based on determining operational mode and operate.By means of the invention it is possible to improve the automation performance of dust-falling mechanism.
Description
Technical field
The present invention relates to air purification field more particularly to a kind of automation dust-falling mechanisms.
Background technique
Air purifier is also known as " air cleaner ", air cleaner, clarifier, is to refer to absorption, decompose or convert
Various air pollutants (generally comprise the finishing pollution, bacterium, anaphylactogen of PM2.5, dust, pollen, peculiar smell, formaldehyde etc
Deng), the product of air cleanliness is effectively improved, household, commercialization, industry, building are broadly divided into.
There are many different technology and medium in air purifier, the sky for providing a user cleaning and safety is enabled it to
Gas.Common air purifying process has: adsorption technology, negative (just) ion technology, catalysis technique, photocatalyst technology, superstructure light
Mineralising technology, HEPA high efficiency filter technology, electrostatic precipitation technology etc.;Material technology mainly has: photocatalyst, active carbon, synthesis are fine
Dimension, the efficient material of HEAP, anion generator etc..Existing air purifier is adopted to be compound more, i.e., uses simultaneously a variety of
Purification techniques and material medium.
Summary of the invention
In order to solve the technical issues of present air cleaning equipment can not set the operational mode of active user's favor automatically,
The present invention provides a kind of automation dust-falling mechanisms.
For this purpose, the inventive point that the present invention needs to have crucial at following three:
(1) background image is removed from image based on predetermined luminance threshold range, to obtain the corresponding prospect of described image
Image;
(2) each region in foreground image is ranked up from small to large according to the uniformity, the uniformity is in the top
Multiple regions are as multiple abundant in content regions;
(3) on the basis of above-mentioned high efficiency image selection mechanism and treatment mechanism, the body to live human body contour outline is completed
Part verifying, and the present mode of operation based on the live cleaner of verification result control.
According to an aspect of the present invention, a kind of automation dust-falling mechanism is provided, the mechanism includes:
Dust detector is arranged on the plastic front board of dust settler, for detecting the dust concentration around dust settler, to make
For the output of real-time dust concentration;Formaldehyde measurement instrument, is arranged on the plastic front board of dust settler, for detecting the first around dust settler
Aldehyde concentration, to be exported as real-time concentration of formaldehyde.
More specifically, in the automation dust-falling mechanism, further includes:
Dust warning device is arranged near the dust detector, connect with the dust detector, for connecing
When the real-time dust concentration received is more than limitation, corresponding dust alarm operation is carried out.
More specifically, in the automation dust-falling mechanism, further includes:
Formaldehyde warning device is arranged near the methylene oxide detecting instrument, connect with the methylene oxide detecting instrument, for connecing
When the real-time concentration of formaldehyde received is more than limitation, corresponding formaldehyde alarm operation is carried out.
More specifically, in the automation dust-falling mechanism, further includes:
Mode activated equipment is connect with the dust settler, refers to personnel's name for receiving, and refer to personnel based on described
Name determines corresponding operational mode, and operational mode based on the determination is executed to the present mode of the dust settler
Driving operation;Compound acquisition equipment is arranged near the dust detector, for the dust detector ambient enviroment
Image data acquiring is carried out, the compound acquisition equipment includes the multiple live camera units for being assigned the different visuals field, for dividing
Multiple collection in worksite images are not exported;First analytical equipment is connect with the compound acquisition equipment, the multiple existing for receiving
Acquisition image in field is executed following processing to each collection in worksite image, is adopted based on predetermined luminance threshold range from the scene
Background image is removed in collection image, to obtain the corresponding foreground image of the collection in worksite image;Second analytical equipment, and it is described
First analytical equipment connection, for obtaining the uniformity of each region in the foreground image, and from small to large according to the uniformity
Described each region is ranked up, using uniformity multiple regions in the top as multiple abundant in content regions;Content choosing
Equipment is selected, is connect with second analytical equipment, for rich in the corresponding multiple contents of the multiple collection in worksite image
In rich region, the identical multiple target subgraphs in position are found in corresponding collection in worksite image using as multiple control subgraphs
Picture is schemed collection in worksite image corresponding to the maximum control subgraph of area in the multiple control subgraph as pretreatment
Picture;There are when multiple groups, select multiple target subgraphs for the identical multiple target subgraphs in position in corresponding collection in worksite image
Multiple target subgraphs in maximum one group of the sum of entropy are as multiple control subgraphs;Identification apparatus, respectively with institute
It states mode activated equipment to connect with the content selection device, for receiving the pretreatment image, using each authorization human body
The benchmark bodily form respectively matches the human bodily form in the pretreatment image, by the highest authorization human body reference body of matching degree
The corresponding authorization human body name of shape is used as to be exported with reference to personnel's name;Frequency duplex communications equipment, with the content selection device
Connection, for receiving the multiple control subgraph, and sends the multiple control subgraph;FPM DRAM device, and it is described
First analytical equipment connection, for the predetermined luminance threshold range to be stored in advance.
More specifically, in the automation dust-falling mechanism: the content selection device includes data locator equipment, face
Product detects sub- equipment and entropy analyzes sub- equipment;Wherein, in the content selection device, the entropy is analyzed sub- equipment and is used for
Analyze the entropy of each target subgraph.
More specifically, in the automation dust-falling mechanism: being based on predetermined luminance threshold range from the collection in worksite figure
Removing background image includes: pixel using brightness value in the predetermined luminance threshold range as background pixel point as in,
Background image is obtained based on each background pixel point in the collection in worksite image;Wherein, first analytical equipment and institute
The respective energization input of the second analytical equipment is stated to link together.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the appearance schematic diagram according to the automation dust-falling mechanism shown in embodiment of the present invention.
Specific embodiment
The embodiment of automation dust-falling mechanism of the invention is described in detail below with reference to accompanying drawings.
Air purifier has application in house, medical treatment, industrial circle, and house field is with the domestic air purification of single machine class
Device is the main product in market.Most important function is the particulate matter, including anaphylactogen, indoor PM2.5 etc. removed in air,
The interior as caused by finishing or other reasons, the underground space, interior volatile organic matter air dirt can also be solved simultaneously
Dye problem.Since the release of the space Air Contamination object of relative closure has the characteristics that persistence and uncertainty, use
It is internationally recognized one of the method for improving indoor air quality that air purifier, which purifies the air of a room,.
High-efficiency particulate air filter (HEPA) is one of technology most popular used in air cleaning.The HEPA of standard
Filter can receive 99.7% size be 0.3 micron suspended particulates (0.3 micron be most difficult to filtering size), but it
Windage also compares larger, and general to be seldom used in air purifier, the HEPA that actual air clarifier producer declares is in fact
It is not real HEPA its filter efficiency ratio HEPA slightly lower, windage is relatively low.Either real HEPA is still publicized
HEPA be all to keep the air of inspiration more pure and fresh, clean.Filter absorbs chemical fumes, bacterium, dirt particle and pollen, through sky
After gas purifier filtering, just without these pollutants in air.
Air purifier is mainly made of systems such as motor, fan, airstrainers, its working principle is that: in machine
Motor and fan make circulating internal air, and the air of pollution is by removing various pollutants after the airstrainer in machine
Or absorption, the air purifier of certain model can also be in installation anion generator (anion generators when work of air outlet
In high pressure generate negative direct current high voltage), air is constantly ionized, a large amount of anions is generated, is sent out by gentle breeze fan, formed anion
Air-flow achievees the purpose that cleaning, purification air.
In order to overcome above-mentioned deficiency, the present invention has built a kind of automation dust-falling mechanism, can effectively solve the problem that corresponding skill
Art problem.
Fig. 1 is according to the appearance schematic diagram of the automation dust-falling mechanism shown in embodiment of the present invention, and the mechanism includes
Plastic front board 1, first support 2 and second support 3, the mechanism further include:
Dust detector is arranged on the plastic front board of dust settler, for detecting the dust concentration around dust settler, to make
For the output of real-time dust concentration;
Formaldehyde measurement instrument, is arranged on the plastic front board of dust settler, for detecting the concentration of formaldehyde around dust settler, to make
For the output of real-time concentration of formaldehyde.
Then, continue that the specific structure of automation dust-falling mechanism of the invention is further detailed.
In the automation dust-falling mechanism, further includes:
Dust warning device is arranged near the dust detector, connect with the dust detector, for connecing
When the real-time dust concentration received is more than limitation, corresponding dust alarm operation is carried out.
In the automation dust-falling mechanism, further includes:
Formaldehyde warning device is arranged near the methylene oxide detecting instrument, connect with the methylene oxide detecting instrument, for connecing
When the real-time concentration of formaldehyde received is more than limitation, corresponding formaldehyde alarm operation is carried out.
In the automation dust-falling mechanism, further includes:
Mode activated equipment is connect with the dust settler, refers to personnel's name for receiving, and refer to personnel based on described
Name determines corresponding operational mode, and operational mode based on the determination is executed to the present mode of the dust settler
Driving operation;
Compound acquisition equipment is arranged near the dust detector, for the dust detector ambient enviroment
Image data acquiring is carried out, the compound acquisition equipment includes the multiple live camera units for being assigned the different visuals field, for dividing
Multiple collection in worksite images are not exported;
First analytical equipment is connect, for receiving the multiple collection in worksite image, to every with the compound acquisition equipment
One collection in worksite image executes following processing, removes background from the collection in worksite image based on predetermined luminance threshold range
Image, to obtain the corresponding foreground image of the collection in worksite image;
Second analytical equipment is connect with first analytical equipment, for obtaining each region in the foreground image
The uniformity, and described each region is ranked up from small to large according to the uniformity, by uniformity multiple regions in the top
As multiple abundant in content regions;
Content selection device is connect with second analytical equipment, for right respectively in the multiple collection in worksite image
In the multiple abundant in content regions answered, find in corresponding collection in worksite image the identical multiple target subgraphs in position using as
Multiple control subgraphs, by collection in worksite image corresponding to the maximum control subgraph of area in the multiple control subgraph
As pretreatment image;The identical multiple target subgraphs in position select more there are when multiple groups in corresponding collection in worksite image
Multiple target subgraphs in maximum one group of the sum of a target subgraph entropy are as multiple control subgraphs;
Identification apparatus is connect, for receiving respectively with the mode activated equipment and the content selection device
Pretreatment image is stated, using each authorization human body reference body shape respectively to human bodily form's progress in the pretreatment image
Match, is exported using the corresponding authorization human body name of the highest authorization human body reference body shape of matching degree as with reference to personnel's name;
Frequency duplex communications equipment is connect with the content selection device, for receiving the multiple control subgraph, and
Send the multiple control subgraph;
FPM DRAM device is connect with first analytical equipment, for the predetermined luminance threshold range to be stored in advance.
In the automation dust-falling mechanism: the content selection device includes data locator equipment, area detecting
Equipment and entropy analyze sub- equipment;
Wherein, in the content selection device, the entropy analyzes sub- equipment for analyzing each target subgraph
Entropy.
In the automation dust-falling mechanism: removing back from the collection in worksite image based on predetermined luminance threshold range
Scape image includes: pixel using brightness value in the predetermined luminance threshold range as background pixel point, based on described existing
Each background pixel point in field acquisition image obtains background image;
Wherein, first analytical equipment and the respective energization input of the second analytical equipment link together.
In the automation dust-falling mechanism, further includes:
Specific aim filter apparatus, between compound acquisition equipment and the first analytical equipment, for any collection in worksite
Image carries out same treatment to obtain corresponding dynamic wavelet filtering image, and by the replacement pair of the dynamic wavelet filtering image of acquisition
The collection in worksite image answered is sent to the first analytical equipment.
In the automation dust-falling mechanism: the specific aim filter apparatus includes the sub- equipment of contour detecting, pattern analysis
Sub- equipment, dynamic median filter sub- equipment and the sub- equipment of dynamic wavelet filtering, the sub- equipment of the contour detecting, the pattern analysis
Sub- equipment, the dynamic median filter sub- equipment and the sub- equipment of dynamic wavelet filtering is linked in sequence.
In the automation dust-falling mechanism: the sub- equipment of contour detecting judges for receiving collection in worksite image
Objective contour in the collection in worksite image;The pattern analysis equipment is connect with the contour detecting equipment, for receiving
Objective contour in the collection in worksite image, and median filtering mould is determined based on the objective contour in the collection in worksite image
Plate and filtering wavelet basis.
In the automation dust-falling mechanism: the dynamic median filters sub- equipment and connect with the pattern analysis equipment,
For each contour pixel to the composition objective contour, the median filtering template determined based on the pattern analysis equipment
Different filtering strategies are determined according to the pixel distribution in the median filtering window centered on it, it is described based on the mode point
The median filtering template that desorption device determines determines different filters according to the pixel distribution in the median filtering window centered on it
Wave strategy includes: when the object pixel quantity in median filtering window is more than or equal to the non-targeted pixel number in median filtering window
When amount, take the mean value of the pixel value of each object pixel as the pixel value of the contour pixel, when in median filtering window
When object pixel quantity is less than the non-targeted pixel quantity in median filtering window, the equal of the pixel value of each non-targeted pixel is taken
Be worth pixel value as the contour pixel, the sub- equipment of the dynamic median filtering be also used to in the collection in worksite image not
Each the non-contour pixel for belonging to the objective contour is filtered based on the median filtering template according to the intermediate value centered on it
The mean value of the pixel value of all pixels in wave window is filtered as the pixel value of the non-contour pixel and the dynamic median
Marble equipment is also used to export dynamic median filtering image;
Wherein, the sub- equipment of dynamic wavelet filtering is filtered with the sub- equipment of the pattern analysis and the dynamic median respectively
Sub- equipment connection, for receiving the dynamic median filtering image, based on the determining filtering wavelet basis of the pattern analysis equipment
Corresponding wavelet filtering processing is executed to export dynamic wavelet filtering image to the dynamic median filtering image.
In addition, the image filtering mode that the specific aim filter apparatus executes, in the item for retaining image minutia as far as possible
The noise of target image is inhibited under part, is indispensable operation in image preprocessing, the quality for the treatment of effect will
Directly influence the validity and reliability of subsequent image processing and analysis.
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
It saves and then causes to reduce as the positioning accuracy of linear character and the extraction property of feature.And nonlinear filter is based on to input
A kind of Nonlinear Mapping relationship of signal, often can approximatively be mapped as a certain specific noise zero and wanting for stick signal is special
Sign, thus it can overcome the shortcoming of linear filter to a certain extent.
Using automation dust-falling mechanism of the invention, can not be set automatically currently for air cleaning facility in the prior art
The technical issues of operational mode of user's favor, background image is removed from image based on predetermined luminance threshold range, to obtain
The corresponding foreground image of described image;Each region in foreground image is ranked up from small to large according to the uniformity, it will be uniform
Multiple regions in the top are spent as multiple abundant in content regions;Importantly, above-mentioned high efficiency image selection mechanism and
On the basis for the treatment of mechanism, the authentication to live human body contour outline is completed, and live cleaner is controlled based on verification result
Present mode of operation.
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 (10)
1. a kind of automation dust-falling mechanism characterized by comprising
Dust detector is arranged on the plastic front board of dust settler, for detecting the dust concentration around dust settler, using as reality
When dust concentration export;
Formaldehyde measurement instrument, is arranged on the plastic front board of dust settler, for detecting the concentration of formaldehyde around dust settler, using as reality
When concentration of formaldehyde export.
2. automation dust-falling mechanism as described in claim 1, which is characterized in that the mechanism further include:
Dust warning device is arranged near the dust detector, connect with the dust detector, for receiving
Real-time dust concentration when being more than limitation, carry out the alarm operation of corresponding dust.
3. automation dust-falling mechanism as claimed in claim 2, which is characterized in that the mechanism further include:
Formaldehyde warning device is arranged near the methylene oxide detecting instrument, connect with the methylene oxide detecting instrument, for receiving
Real-time concentration of formaldehyde when being more than limitation, carry out the alarm operation of corresponding formaldehyde.
4. automation dust-falling mechanism as claimed in claim 3, which is characterized in that the mechanism further include:
Mode activated equipment is connect with the dust settler, refers to personnel's name for receiving, and refer to personnel's name based on described
Determine corresponding operational mode, and driving of the operational mode execution to the present mode of the dust settler based on the determination
Operation;
Compound acquisition equipment is arranged near the dust detector, for carrying out to the dust detector ambient enviroment
Image data acquiring, the compound acquisition equipment includes the multiple live camera units for being assigned the different visuals field, defeated for distinguishing
Multiple collection in worksite images out;
First analytical equipment is connect, for receiving the multiple collection in worksite image, to each with the compound acquisition equipment
Collection in worksite image executes following processing, removes Background from the collection in worksite image based on predetermined luminance threshold range
Picture, to obtain the corresponding foreground image of the collection in worksite image;
Second analytical equipment is connect with first analytical equipment, for obtaining the uniform of each region in the foreground image
Degree, and is from small to large ranked up described each region according to the uniformity, using uniformity multiple regions in the top as
Multiple abundant in content regions;
Content selection device is connect with second analytical equipment, for corresponding in the multiple collection in worksite image
In multiple abundant in content regions, the identical multiple target subgraphs in position are found in corresponding collection in worksite image using as multiple
Compare subgraph, using collection in worksite image corresponding to the maximum control subgraph of area in the multiple control subgraph as
Pretreatment image;The identical multiple target subgraphs in position select multiple mesh there are when multiple groups in corresponding collection in worksite image
Multiple target subgraphs in maximum one group of the sum of subgraph entropy are marked as multiple control subgraphs;
Identification apparatus is connect with the mode activated equipment and the content selection device respectively, described pre- for receiving
Image is handled, the human bodily form in the pretreatment image is matched respectively using each authorization human body reference body shape, it will
The corresponding authorization human body name of the highest authorization human body reference body shape of matching degree is used as to be exported with reference to personnel's name;
Frequency duplex communications equipment is connect with the content selection device, for receiving the multiple control subgraph, and is sent
The multiple control subgraph;
FPM DRAM device is connect with first analytical equipment, for the predetermined luminance threshold range to be stored in advance.
5. automation dust-falling mechanism as claimed in claim 4, it is characterised in that:
The content selection device includes that data locator equipment, the sub- equipment of area detecting and entropy analyze sub- equipment;
Wherein, in the content selection device, the entropy analyzes sub- equipment for analyzing the entropy of each target subgraph
Value.
6. automation dust-falling mechanism as claimed in claim 5, it is characterised in that:
Removing background image from the collection in worksite image based on predetermined luminance threshold range includes: by brightness value described pre-
If the pixel within the scope of luminance threshold is as background pixel point, based on each background pixel point in the collection in worksite image
Obtain background image;
Wherein, first analytical equipment and the respective energization input of the second analytical equipment link together.
7. automation dust-falling mechanism as claimed in claim 6, which is characterized in that the mechanism further include:
Specific aim filter apparatus, between compound acquisition equipment and the first analytical equipment, for any collection in worksite image
Same treatment is carried out to obtain corresponding dynamic wavelet filtering image, and the replacement of the dynamic wavelet filtering image of acquisition is corresponding
Collection in worksite image is sent to the first analytical equipment.
8. automation dust-falling mechanism as claimed in claim 7, it is characterised in that:
The specific aim filter apparatus include the sub- equipment of contour detecting, the sub- equipment of pattern analysis, dynamic median filter sub- equipment and
The sub- equipment of dynamic wavelet filtering, the sub- equipment of the contour detecting, the sub- equipment of the pattern analysis, dynamic median filtering are set
The standby and described sub- equipment of dynamic wavelet filtering is linked in sequence.
9. automation dust-falling mechanism as claimed in claim 8, it is characterised in that:
The sub- equipment of contour detecting judges the target wheel in the collection in worksite image for receiving collection in worksite image
It is wide;The pattern analysis equipment is connect with the contour detecting equipment, for receiving the target wheel in the collection in worksite image
Exterior feature, and median filtering template and filtering wavelet basis are determined based on the objective contour in the collection in worksite image.
10. automation dust-falling mechanism as claimed in claim 9, it is characterised in that:
The dynamic median filters sub- equipment and connect with the pattern analysis equipment, for each of the composition objective contour
A contour pixel, based on the determining median filtering template of the pattern analysis equipment according to the median filtering window centered on it
Interior pixel distribution determines different filtering strategies, the median filtering template determined based on the pattern analysis equipment according to
The pixel distribution in median filtering window centered on it determines that different filtering strategies include: when in median filtering window
When object pixel quantity is more than or equal to the non-targeted pixel quantity in median filtering window, the pixel value of each object pixel is taken
Pixel value of the mean value as the contour pixel, when the object pixel quantity in median filtering window is less than in median filtering window
Non-targeted pixel quantity when, take pixel value of the mean value of the pixel value of each non-targeted pixel as the contour pixel, institute
It states dynamic median and filters sub- equipment and be also used to each the non-wheel for being not belonging to the objective contour in the collection in worksite image
Wide pixel, based on the median filtering template according to the pixel values of all pixels in the median filtering window centered on it
Mean value filters sub- equipment as the pixel value of the non-contour pixel and the dynamic median and is also used to export dynamic median filter
Wave image;
Wherein, the sub- equipment of dynamic wavelet filtering is set with the sub- equipment of the pattern analysis and dynamic median filtering respectively
Standby connection, for receiving the dynamic median filtering image, based on the determining filtering wavelet basis of the pattern analysis equipment to institute
It states dynamic median filtering image and executes corresponding wavelet filtering processing to export dynamic wavelet filtering image.
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