CN105654522B - The frosting detection method and frosting detecting system of evaporator - Google Patents
The frosting detection method and frosting detecting system of evaporator Download PDFInfo
- Publication number
- CN105654522B CN105654522B CN201511025257.3A CN201511025257A CN105654522B CN 105654522 B CN105654522 B CN 105654522B CN 201511025257 A CN201511025257 A CN 201511025257A CN 105654522 B CN105654522 B CN 105654522B
- Authority
- CN
- China
- Prior art keywords
- frosting
- evaporator
- image
- area
- gray
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20216—Image averaging
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention provides a kind of frosting detection method of evaporator and frosting detecting systems.The frosting detection method of wherein evaporator includes：Evaporator is shot from multiple angles respectively using multigroup filming apparatus, obtains the multiple image of evaporator；Multiple image is respectively processed, to obtain multigroup characteristic of reflection evaporimeter frosting situation；And the frosting situation of evaporator is determined according to multigroup characteristic, start the basis for estimation of point and end point to defrost as evaporator.The characteristic of frosting situation can be reflected by being extracted frosting image according to pre-set image Processing Algorithm using the solution of the present invention, accurately comprehensively reflect frosting actual conditions by the characteristic of multiple dimensions, so that the detection of frosting situation is more accurate, so that more suitable opening point and end point is arranged for next defrosting process.
Description
Technical field
The present invention relates to defrosting field, more particularly to the frosting detection methods and frosting detecting system of a kind of evaporator.
Background technology
Wind cooling refrigerator runs on the air-conditioning of heating mode after running a period of time, and evaporator will appear frosting feelings
Condition affects its operational efficiency, therefore refrigerator or air-conditioning need to carry out defrosting operation to evaporator after a period of time of freezing.
But the Defrost method that uses of current refrigerator or air-conditioning is rule of thumb data setting preset time, in refrigerator or
After air conditioner refrigerating preset time, defrosting is automatically turned on.But the method for this rule of thumb setting defrosting starting point is due to cannot
Frosting situation is specified, defrosting efficiency is very low.In some cases, it is not high to have reached evaporimeter frosting thickness when refrigeration is preset,
Heater strip but starts to work and defrosts, and the cooling time for both having shortened compressor so also wastes heating energy source；In addition
Some cases, evaporator frost layer very it is thick need defrosting when, but due to do not have reach preset time program do not allow to be removed
Frost influences the normal work of evaporator in this way.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State the frosting detection method and frosting detecting system of the evaporator of problem.
A further object of the present invention is to provide accurate basis for estimation for evaporator defrosting control.
Another further object of the present invention is to improve the accuracy of frosting detection.
According to an aspect of the present invention, the present invention provides a kind of frosting detection methods of evaporator.The evaporator
Frosting detection method includes：Evaporator is shot from multiple angles respectively using multigroup filming apparatus, obtains evaporator
Multiple image；Multiple image is respectively processed, to obtain multigroup characteristic of reflection evaporimeter frosting situation；And root
The frosting situation that evaporator is determined according to multigroup characteristic starts the basis for estimation of point and end point to defrost as evaporator.
Optionally, above-mentioned image includes the direct picture of evaporator, and the direct picture of evaporator is handled
Step includes：Gray proces are carried out to the direct picture of evaporator；Evaporator place is cut out from the image after gray proces
Area image；And the average gray value of zoning image, obtain the characteristic of direct picture.
Optionally, the step of frosting situation that evaporator is determined according to the characteristic of direct picture includes：According to average
Gray value inquires preset frosting coverage curve and obtains frosting coverage, is preserved in frosting coverage curve and advances with reality
Test the frosting coverage corresponding with each average gray value obtained.
Optionally, above-mentioned image further includes the side image of evaporator, and is handled the side image of evaporator
The step of include：Gray proces are carried out to the side image of evaporator；Agglomerate processing is carried out to the side image after gray proces,
To calculate the area of the part in side image less than preset first gray threshold, the fisrt feature number as side image
According to.
Optionally, the step of determining the frosting situation of evaporator according to the fisrt feature data of side image include：According to
Preset frosting thickness curve is inquired less than the area of the part of the first gray threshold obtain frosting thickness, frosting thickness in image
Preserved in curve advance with experiment obtain in each image be less than the area of part of the first gray threshold it is corresponding
Frosting thickness.
Optionally, above-mentioned image further includes the side image for the evaporator being continuously shot, to the evaporator that is continuously shot
The step of side image is handled include：Extract the frosting dynamic change area in the side image for the evaporator being continuously shot
Domain, as display foreground, and using the area of foreground and shape as the second feature data of side image.
Optionally, the step of extracting the frosting dynamic change region in the side image for the evaporator being continuously shot include：
The pixel value of adjacent two field pictures in the side image for the evaporator being continuously shot is subtracted each other to obtain difference image；And it will be poor
Gray value is labeled as foreground higher than the part of preset second gray threshold in partial image.
Optionally, the frosting dynamic change region step extracted in the side image for the evaporator being continuously shot further includes：
The optical flow field of image-region is calculated by the side image for the evaporator being continuously shot；According to the optical flow field of image-region to image
Region carries out light stream segmentation, using obtained frosting dynamic change region as foreground.
Optionally, the step of determining the frosting situation of evaporator according to the second feature data of side image include：According to
The area and shape of foreground and the shooting time interval of consecutive image derive the frosting rate and knot of each position of evaporator
White direction.
According to another aspect of the present invention, a kind of frosting detecting system of evaporator is additionally provided.The knot of the evaporator
White detecting system includes：Multigroup filming apparatus, each group of filming apparatus include a camera and a LED light, multigroup shooting
The camera of device is configured to respectively shoot evaporator from multiple angles, and provides pickup light using corresponding LED light
Source obtains the multiple image of evaporator；Image processing apparatus is configured to be respectively processed multiple image, to obtain reflection
Multigroup characteristic of evaporimeter frosting situation determines the frosting situation of evaporator according to multigroup characteristic, using as evaporation
Device defrosting starts the basis for estimation of point and end point.
Optionally, at least one set of filming apparatus is set as face evaporator, to shoot direct picture and the transmission of evaporator
To image processing apparatus；And image processing apparatus is configured to, and gray proces are carried out to the direct picture of evaporator；From gray scale
Evaporator region image is cut out in treated image；The average gray value of zoning image, obtains direct picture
Characteristic；And preset frosting coverage curve is inquired according to average gray value and obtains frosting coverage, frosting covering
It writes music to preserve in line and advances with the frosting coverage corresponding with each average gray value that experiment obtains.
Optionally, at least one set of filming apparatus is set to the side of evaporator, to shoot the side image and biography of evaporator
Transport to image processing apparatus；And image processing apparatus is configured to, and gray proces are carried out to the side image of evaporator；To ash
Degree treated side image carries out agglomerate processing, to calculate the area of the part in image less than the first gray threshold, as
The fisrt feature data of side image；It is thick that preset frosting is inquired according to the area for the part for being less than the first gray threshold in image
Line of writing music obtains frosting thickness, preserved in frosting thickness curve advance with experiment obtain in each image be less than first ash
Spend the corresponding frosting thickness of area of the part of threshold value.
Optionally, at least one set of filming apparatus is set to the side of evaporator, with the side view for the evaporator being continuously shot
Picture is simultaneously transmitted to image processing apparatus；And image processing apparatus is configured to, and extracts the side view for the evaporator being continuously shot
Frosting dynamic change region as in, as display foreground, and using the area of foreground and shape as the second spy of side image
Levy data；The frosting of each position of evaporator is derived according to the shooting time interval of the area of foreground and shape and consecutive image
Rate and frosting direction.
Optionally, above-mentioned image processing apparatus is configured to：By the picture of adjacent two field pictures in the side image of evaporator
Plain value is subtracted each other to obtain difference image；And the part by gray value in difference image higher than preset second gray threshold marks
For foreground；Or the side image of the evaporator by being continuously shot calculates the optical flow field of image-region；According to image-region
Optical flow field carries out light stream segmentation to image-region, using obtained frosting dynamic change region as foreground；And according to foreground
The shooting time interval of area and shape and consecutive image derives frosting rate and the frosting side of each position of evaporator
To..
The evaporimeter frosting detection method of the present invention respectively carries out evaporator from multiple angles using multigroup filming apparatus
Shooting, obtains the multiple image of evaporator and is respectively processed to multiple image, to obtain reflection evaporimeter frosting situation
Multigroup characteristic；And the frosting situation of evaporator is determined according to multigroup characteristic, start point to defrost as evaporator
With the basis for estimation of end point.The evaporimeter frosting detection method of the present invention carries out multi-angle image shooting to evaporator, will steam
The Frost formation process of hair device is converted into visual image, can more accurately grasp the frosting situation of evaporator.In addition, of the invention
Method multiple image is handled, and extract multigroup characteristic of image, frosting image handled according to pre-set image
Algorithm extracts the characteristic that can reflect frosting situation, accurately comprehensively reflects frosting by the characteristic of multiple dimensions
Actual conditions so that the detection of frosting situation is more accurate, to be opened for the setting of next defrosting process is more suitable
Point and end point.
Further, evaporimeter frosting detection method of the invention, multigroup characteristic of extraction shooting image, above-mentioned spy
Sign data include the side of the average gray value for the direct picture for reflecting frosting coverage condition, reflection frosting thickness and frosting velocity
Face image less than the area of the first gray threshold and the foreground area of side image.And utilize a variety of image processing method roots
Many-sided point is carried out to the frosting coverage of evaporator, frosting thickness, frosting rate and frosting direction according to multigroup characteristic
Analysis improves the accuracy of frosting detection, reduces the error of frosting detection.
Further, evaporimeter frosting detection method of the invention and frosting detecting system, can be adapted for air-cooled
Refrigerator and air conditioner provide accurate comprehensive distinguishing rule for the defrosting control of its evaporator, improve wind cooling refrigerator and
The working efficiency of air conditioner meets the use needs of user.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Description of the drawings
Some specific embodiments that the invention will be described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical reference numeral denotes same or similar component or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.In attached drawing：
Fig. 1 is the schematic block diagram of frosting detecting system according to an embodiment of the invention；
Fig. 2 is the schematic diagram of the filming apparatus of frosting detecting system in accordance with another embodiment of the present invention；
Fig. 3 is the structural representation that frosting detecting system in accordance with another embodiment of the present invention is arranged in evaporator of refrigerator room
Figure；
Fig. 4 is the structural representation that frosting detecting system in accordance with another embodiment of the present invention is arranged in evaporator of refrigerator room
Figure；
Fig. 5 is the schematic diagram of frosting detection method according to an embodiment of the invention；
Fig. 6 is the flow chart of frosting detection method in accordance with another embodiment of the present invention；
Fig. 7 is the flow chart of frosting detection method in accordance with another embodiment of the present invention；
Fig. 8 is the flow chart of frosting detection method in accordance with another embodiment of the present invention；
Fig. 9 is the flow chart of frosting detection method in accordance with another embodiment of the present invention；And
Figure 10 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.
Specific implementation mode
The present embodiment provides firstly a kind of frosting detecting system 100 of air cooling refrigerator evaporator, and Fig. 1 is according to the present invention
The schematic block diagram of the frosting detecting system 100 of one embodiment.The frosting detecting system 100 include multigroup filming apparatus 110 with
And image processing apparatus 120.
Fig. 2 is the schematic diagram of the filming apparatus 110 of frosting detecting system 100 in accordance with another embodiment of the present invention.Often
One group of filming apparatus 110 includes that a camera 111 and a LED light 112, filming apparatus 110 are arranged in around evaporator,
Each group of filming apparatus 110 shoots evaporator from a fixed shooting angle.To taking the photograph for multigroup filming apparatus 110
As first 111 can respectively shoot evaporator from multiple angles, the multiple image of the multiple angles of evaporator is obtained.LED light
112 may be used to provide photographic light sources, and further increase the contrast of evaporator body and frost, the image for enabling shooting obtain
Frosting part is more seen obviously.LED light 112 can be substituted using other energy-conserving light sources.
Above-mentioned frosting detecting system 100 can be set to the evaporator room of refrigerator to carry out frosting inspection to evaporator of refrigerator
It surveys, multigroup filming apparatus 110 is arranged in evaporator of refrigerator chamber interior walls at this time, due to there is no light LED light 112 essential,
To provide photographic light sources for camera 111.Above-mentioned frosting detecting system 100 can also be set in the outdoor unit of air-conditioning with to sky
Row frosting detection is transferred in, multigroup filming apparatus 110 is arranged on the inner wall of air-conditioner outdoor unit at this time.
Image processing apparatus 120 is configured to be respectively processed multiple image, to obtain reflection evaporimeter frosting feelings
Multigroup characteristic of condition.Further, the frosting situation that evaporator can be determined using multigroup characteristic, as evaporator
Defrosting starts the basis for estimation of point and end point.The quantity of filming apparatus 110 and position can be according to image processing apparatus 120
The image needed is configured.
Fig. 3 is the structure that frosting detecting system 100 in accordance with another embodiment of the present invention is arranged in evaporator of refrigerator room
Schematic diagram and Fig. 4 are the knots that frosting detecting system 100 in accordance with another embodiment of the present invention is arranged in evaporator of refrigerator room
Structure schematic diagram.Wherein Fig. 3 removes evaporator 200, Fig. 4 is evaporator of refrigerator to show the position of filming apparatus 110
Room 200 arrange that the state after evaporator 200, the filming apparatus 110 of wherein face evaporator 200 are blocked.
In the present embodiment, frosting detecting system 100 is applied to the frosting detection of evaporator of refrigerator 200, above-mentioned multigroup bat
The different location that device 110 is respectively arranged at air cooling refrigerator evaporator chamber interior walls is taken the photograph, to shoot the figure of 200 different angle of evaporator
Picture.
In multigroup filming apparatus 110, at least one set of filming apparatus 110 is set as face evaporator, to shoot evaporator
Direct picture and be transmitted to image processing apparatus 120；At least one set of filming apparatus 110 is set to the side of evaporator, to clap
It takes the photograph the side image of evaporator and is transmitted to image processing apparatus 120.In the present embodiment, evaporator of refrigerator chamber interior walls are set to
The filming apparatus 110 of back side can be used for shooting the direct picture of evaporator, be set to the filming apparatus 110 of evaporator room's side wall
It can be used for shooting the side image of evaporator.
Similarly, when applied to air-conditioning, filming apparatus 110 can be arranged on the different lateral of outdoor set cabinet, with
Its evaporator is shot.
Above-mentioned image processing apparatus 120 can be respectively processed the direct picture or side image of evaporator, to obtain
Negate the multigroup characteristic for reflecting evaporimeter frosting situation.
Specifically, above-mentioned image processing apparatus 120 can carry out gray proces to the direct picture of evaporator；From gray scale
Evaporator region image is cut out in image after reason；The average gray value of zoning image, obtains direct picture
Characteristic；And preset frosting coverage curve is inquired according to average gray value and obtains frosting coverage, frosting coverage
It is preserved in curve and advances with the frosting coverage corresponding with each average gray value that experiment obtains.
Above-mentioned image processing apparatus 120 obtains the direct picture for the evaporator that filming apparatus 110 is shot, and is carried out to image
Gray proces.In the present embodiment, the concrete mode of gray proces is：Find out G, R, B tri- of each pixel of the direct picture
The average value of component, and above-mentioned average value is given to three components of the pixel to get to the gray level image of direct picture.
Evaporator region image is cut out from the image after gray proces, when on evaporator without frost, evaporator is usually
Black if can become white after evaporimeter frosting, therefore can be determined just according to the distribution of the monochrome pixels point of image
Evaporator region in the image of face.The average gray value for cutting out all pixels point in image can be as the spy of direct picture
Levy data.Judge evaporimeter frosting coverage namely how many positive ratio of evaporator according to the characteristic of the direct picture
Area covered by frosting.
Inventor has found during realizing invention, the average gray value of the direct picture of the evaporator after cutting and steaming
Send out device frosting coverage between there are Nonlinear Mapping relationships, therefore can to being fitted by the numerical value of many experiments,
Obtain frosting coverage curve.It is fitted obtained frosting coverage curve and represents the average gray value of image and the knot of evaporator
The correspondence of white coverage, to which frosting coverage curve contains steaming corresponding with the average gray value of each direct picture
The frosting coverage of device is sent out, and the frosting coverage curve is pre-stored in frosting detecting system 100 for subsequent query
It uses.Preset frosting coverage curve, which is inquired, by calculated average gray value obtains frosting coverage.
Above-mentioned image processing apparatus 120 can also be handled to obtain the side image of evaporator by multigroup mode
Reflect the characteristic of evaporimeter frosting thickness.
A kind of method of side image that image processing apparatus 120 handles evaporator is：To the side image of evaporator into
Row gray proces；Agglomerate processing is carried out to the side image after gray proces, to calculate in image less than the first gray threshold
Partial area, the fisrt feature data as side image；According to the area for the part for being less than the first gray threshold in image
Inquire preset frosting thickness curve and obtain frosting thickness, preserved in frosting thickness curve advance with experiment obtain with it is each
Less than the corresponding frosting thickness of area of the part of the first gray threshold in image.Above-mentioned first gray threshold is side image
The gray scale median of cluster.Image processing apparatus 120 can be clustered by the gray scale of image and carry out blob segmentation, determine to characterize
The agglomerate of frosting image, the gray scale median of frosting image agglomerate is as the threshold value for judging frosting region, i.e. the first gray threshold.
The area for finishing frost in the image finally obtained less than the area characterization of the part of the first gray threshold, reflects frosting thickness.
Above-mentioned image processing apparatus 120 obtains the side image for the evaporator that filming apparatus 110 is shot, and is carried out to image
Gray proces.When on evaporator without frost, evaporator is black, if white can be become after evaporimeter frosting, and white degree
As the thickness of frost increases and increase.Choose the pixel of gray scale in image less than the first default gray value and by its gray value
It is set as 0, all pixels collection that gray scale in image is 0 is combined into an agglomerate entirety, calculates the area of agglomerate entirety and conduct
One of characteristic of side image, for judging evaporimeter frosting thickness.
Inventor during realizing invention it has also been found that, the area of agglomerate entirety of the side image of above-mentioned evaporator and
There are the mapping relations of approximately linear between the frosting thickness of evaporator, therefore a frosting can be fitted by many experiments
Thickness curve, the frosting thickness curve include knot corresponding with the agglomerate area of part of the first gray threshold is less than in image
Frost thickness, and the frosting thickness curve is pre-stored in frosting detecting system 100 so that subsequent query uses.Pass through image
In inquire preset frosting thickness curve less than the agglomerate area of the part of the first gray threshold and obtain frosting thickness.
Another method of side image that image processing apparatus 120 handles evaporator is：Extract the evaporation being continuously shot
Frosting dynamic change region in the side image of device, as display foreground, and using the area of foreground and shape as side view
The second feature data of picture；It is each that evaporator is derived according to the shooting time interval of the area of foreground and shape and consecutive image
The frosting rate of position and frosting direction.To which the process that image recognition goes out frosting region growing will be conducive to, Dynamic Graph is utilized
Judgement as realizing frosting situation, reflects the dynamic process of frosting.
Extraction display foreground a kind of mode be：Frame difference method, image processing apparatus 120 can be by the side images of evaporator
In the pixel values of adjacent two field pictures subtract each other to obtain difference image；And gray value in difference image is higher than preset second
The part of gray threshold is labeled as foreground, and foreground image can be considered as the image at frosting.Specifically, above-mentioned image procossing dress
Several side images for the evaporator that 120 acquisition filming apparatus 110 are continuously shot are set, and to adjacent two field pictures in multiple image
Carry out difference processing.Specifically, the pixel value of each pixel of previous frame image is subtracted to the corresponding picture of a later frame image
The pixel value of vegetarian refreshments, obtains difference image.Obtained difference image is subjected to binary conversion treatment again, it in the present embodiment, will be poor
Gray value can be set as 0 higher than the gray scale of the part of preset second gray threshold in partial image, and be 0 by all gray scales
Pixel is labeled as foreground, and using the area of foreground in image and shape as the frosting rate for judging each position of evaporator with
And the foundation in frosting direction.
Shooting time interval of the frosting rate also between two field pictures is related, if the area in some region of foreground compared with
Greatly, the shooting time interval and between two field pictures is shorter, proves the frosting rate of the corresponding condenser zone of the foreground area
Comparatively fast, opposite, if the area in some region of foreground is smaller, and the shooting time interval between two field pictures is longer proves
The frosting rate of the corresponding condenser zone of the foreground area is slower.Frosting direction is related to the projected direction of foreground shape, if
Protrusion then proves the frosting direction of the corresponding condenser zone of the foreground area to the left to the shape in some region of foreground to the left.
Extraction display foreground another way be：Optical flow method.It is calculated by the side image for the evaporator being continuously shot
The optical flow field of image-region；Light stream segmentation is carried out to image-region according to the optical flow field of image-region, obtains frosting dynamic change
Region is as foreground；And it is each according to the area and shape of foreground and the shooting time interval derivation evaporator of consecutive image
The frosting rate of position and frosting direction.Specifically, it is continuous can to obtain filming apparatus 110 for above-mentioned image processing apparatus 120
Several side images of the evaporator of shooting, and the optical flow field of image-region is calculated, specifically, space-time is carried out to the gray scale of image
Differential (i.e. space-time gradient function) calculates the velocity vector of each pixel.Velocity vector according to pixel in optical flow field is big
It is small that light stream segmentation is carried out to image-region, obtain frosting dynamic change region as foreground and according to the area of foreground and shape with
And the shooting time interval of consecutive image derives frosting rate and the frosting direction of each position of evaporator.
The above frame difference method and optical flow method are the processes of dynamic detection ice crystal dynamic growth, use the side of moving object detection
Method carries out image procossing, makes the characteristic of the dynamic process to obtain reflection frosting.
The present invention also provides a kind of frosting detection method of air cooling refrigerator evaporator, Fig. 5 is according to a reality of the invention
Apply the schematic diagram of the frosting detection method of example.And the control method of the present embodiment may include in general manner：
Step S502, using the multigroup filming apparatus 110 being arranged in air cooling refrigerator evaporator room respectively from multiple angles
Evaporator is shot, the multiple image of evaporator is obtained；
Step S504, is respectively processed multiple image, to obtain multigroup characteristic of reflection evaporimeter frosting situation
According to；
Step S506 determines the frosting situation of evaporator according to multigroup characteristic, starts point to defrost as evaporator
With the basis for estimation of end point.
Step S502 shoots the front of evaporator using the filming apparatus 110 for being set to evaporator of refrigerator chamber interior walls back side
Image shoots the side image of evaporator using the filming apparatus 110 for being set to evaporator room's side wall, can also utilize and be set to
The filming apparatus 110 of evaporator room's side wall is continuously shot the side image of evaporator.
Step S504, above-mentioned multigroup characteristic may include the average gray value of image, the white area area of image
Deng.
Step S506, frosting situation include frosting coverage, frosting thickness, frosting rate and frosting direction etc., to
It can all-sidedly and accurately reflect frosting situation.
Fig. 6 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.Above-mentioned control method is for dividing
Evaporimeter frosting coverage is analysed, which executes following steps successively：
Step S602 is clapped using the filming apparatus 110 being arranged in air cooling refrigerator evaporator room from evaporator front
It takes the photograph, obtains the direct picture of evaporator.
Step S604 carries out gray proces to the direct picture of evaporator.In the present embodiment, the specific side of gray proces
Formula is：The three-component average value of G, R, B of each pixel of direct picture is found out, and above-mentioned average value is given to the pixel
Three components to get to the gray level image of direct picture.
Step S606 cuts out evaporator region image from the image after gray proces, when not having on evaporator
When white, evaporator is black, if white can be become after evaporimeter frosting, therefore can be according to the distribution of the monochrome pixels point of image
Judge evaporator region in direct picture.
Step S608 calculates the average gray value of all pixels point in image after cutting, obtains the characteristic of direct picture
According to using as the foundation for judging evaporimeter frosting coverage.
Step S610 inquires preset frosting coverage curve according to average gray value and obtains frosting coverage.Inventor
It is found during realizing invention, the frosting of the average gray value and evaporator of the direct picture of the evaporator after cutting covers
There are Nonlinear Mapping relationships between degree, therefore can be fitted by the numerical value of many experiments, obtain frosting covering and write music
Line, the frosting coverage curve include the frosting coverage of evaporator corresponding with the average gray value of each direct picture, and
And the frosting coverage curve is pre-stored in frosting detecting system 100 so that subsequent query uses.By calculated flat
Equal gray value inquires preset frosting coverage curve and obtains frosting coverage.Using Fig. 6 method can determine evaporator
Surface covers the area accounting of frost.
Fig. 7 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.Above-mentioned control method is for dividing
Evaporimeter frosting thickness is analysed, which executes following steps successively：
Step S702 is clapped using the filming apparatus 110 being arranged in air cooling refrigerator evaporator room from evaporator side
It takes the photograph, obtains the side image of evaporator.
Step S704 carries out gray proces to the side image of evaporator.In the present embodiment, the specific side of gray proces
Formula is：The three-component average value of G, R, B of each pixel of direct picture is found out, and above-mentioned average value is given to the pixel
Three components to get to the gray level image of direct picture.
Step S706 carries out agglomerate processing to the side image after gray proces, to calculate in side image less than default
The first gray threshold part area, the fisrt feature data as side image.When on evaporator without frost, evaporation
Device is black, if white can be become after evaporimeter frosting, and white degree is as the thickness of frost increases and increases.It chooses in image
Gray scale less than the first default gray value pixel and its gray value is set as 0, by gray scale in image be 0 all pixels
Collection is combined into an agglomerate entirety, calculates the area of agglomerate entirety and one of the characteristic as side image, for judging
Evaporimeter frosting thickness.
Step S708 inquires preset frosting thickness according to the agglomerate area for the part for being less than the first gray threshold in image
Curve obtains frosting thickness.It is found according to inventor's many experiments, selection area and the evaporation of the side image of above-mentioned evaporator
There are the mapping relations of approximately linear between the frosting thickness of device, therefore a frosting thickness can be fitted by many experiments
Curve, the frosting thickness curve include that frosting corresponding with the agglomerate area of part of the first gray threshold is less than in image is thick
Degree, and the frosting thickness curve is pre-stored in frosting detecting system 100 so that subsequent query uses.By low in image
Area in the part of the first gray threshold inquires preset frosting thickness curve and obtains frosting thickness.
Frosting detection method shown in Fig. 7 carries out blob segmentation by the gray scale cluster of image, determines characterization frosting figure
The agglomerate of picture, the gray scale median of frosting image agglomerate is as the threshold value for judging frosting region, i.e. the first gray threshold.Final
The area for finishing frost in the image gone out less than the area characterization of the part of the first gray threshold, reflects frosting thickness.
Fig. 8 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.Above-mentioned control method is for dividing
Analysis evaporimeter frosting rate and frosting direction, the control method execute following steps successively：
Step S802 is connected using the filming apparatus 110 being arranged in air cooling refrigerator evaporator room from evaporator side
Continuous shooting, the evaporator side image being continuously shot.
Step S804 extracts the frosting dynamic change region in the side image for the evaporator being continuously shot, as image
Foreground, and using the area of foreground and shape as the second feature data of side image.
It is each to derive evaporator according to the shooting time interval of the area of foreground and shape and consecutive image by step S806
The frosting rate of position and frosting direction.Frosting detection method shown in Fig. 8 will go out frosting region growing conducive to image recognition
Process, using dynamic image realize frosting situation judgement, reflect the dynamic process of frosting.
Fig. 9 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.Above-mentioned control method is for dividing
The frosting rate and frosting direction, the control method for analysing evaporator execute following steps successively：
Step S902 is connected using the filming apparatus 110 being arranged in air cooling refrigerator evaporator room from evaporator side
Continuous shooting, the evaporator side image being continuously shot.
Step S904 subtracts each other the pixel value of adjacent two field pictures in the side image for the evaporator being continuously shot to obtain
Difference image.The pixel value of each pixel of previous frame image is subtracted to the pixel of the respective pixel point of a later frame image
Value, obtains difference image.
Step S906, the part by gray value in difference image higher than preset second gray threshold are labeled as foreground.It will
Obtained difference image carries out binary conversion treatment again, in the present embodiment, gray value in difference image is higher than preset second
The gray scale of the part of gray threshold is set as 0, and the pixel that all gray scales are 0 is labeled as foreground.
It is each to derive evaporator according to the shooting time interval of the area of foreground and shape and consecutive image by step S908
The frosting rate of position and frosting direction.Frosting rate not only shooting also between two field pictures related to foreground area when
Between be spaced related, if the area in some region of foreground is larger, and the shooting time interval between two field pictures is shorter proves
The frosting rate of the corresponding condenser zone of the foreground area is very fast, opposite, if the area in some region of foreground is smaller, and
Shooting time interval between two field pictures is longer, proves that the frosting rate of the corresponding condenser zone of the foreground area is slower.
Frosting direction is related to the projected direction of foreground shape, and the foreground zone is proved if the shape in some region of foreground is prominent to the left
The frosting direction of the corresponding condenser zone in domain is to the left.
Figure 10 is the flow chart of frosting detection method in accordance with another embodiment of the present invention.Above-mentioned control method is for dividing
The frosting rate and frosting direction, the control method for analysing evaporator execute following steps successively：
Step S1002 is connected using the filming apparatus 110 being arranged in air cooling refrigerator evaporator room from evaporator side
Continuous shooting, the evaporator side image being continuously shot.
Step S1004 calculates the optical flow field of image-region by the side image for the evaporator being continuously shot.In this implementation
In example, the method for space-time differential (i.e. space-time gradient function) is carried out using the gray scale to image to calculate the speed of each pixel
Vector.
Step S1006 carries out light stream segmentation to image-region according to the optical flow field of image-region, obtains frosting dynamic change
Region is as foreground.
It is each to derive evaporator according to the shooting time interval of the area of foreground and shape and consecutive image by step S1008
The frosting rate of a position and frosting direction.
Frosting detection method shown in Fig. 9 uses the mistake of frame difference method and optical flow method dynamic detection ice crystal dynamic growth respectively
Journey carries out image procossing to obtain the characteristic of the dynamic process of reflection frosting using the method for moving object detection.
The frosting detection method of above several embodiments can select a use, can also use simultaneously, be steamed with obtaining reflection
Send out multigroup characteristic of device frosting situation.The case where different aspect of evaporimeter frosting being reflected using multigroup characteristic,
It can more accurately determine the actual conditions of evaporimeter frosting.
The evaporimeter frosting detection method of the present embodiment, using multigroup filming apparatus 110 respectively from multiple angles to evaporation
Device is shot, and is obtained the multiple image of evaporator and is respectively processed to multiple image, to obtain reflection evaporimeter frosting
Multigroup characteristic of situation；And the frosting situation of evaporator is determined according to multigroup characteristic, to defrost as evaporator
Start the basis for estimation of point and end point.The evaporimeter frosting detection method of the present embodiment carries out multi-angle image bat to evaporator
It takes the photograph, converts the Frost formation process of evaporator to visual image, can more accurately grasp the frosting situation of evaporator.Separately
Outside, the method for the present embodiment handles multiple image, and extracts multigroup characteristic of image, by frosting image according to
Pre-set image Processing Algorithm extracts the characteristic that can reflect frosting situation, can be accurate by the characteristic of multiple dimensions
Really comprehensive reflection frosting actual conditions so that the detection of frosting situation is more accurate, to be set for next defrosting process
Set more suitable opening point and end point.
Further, the evaporimeter frosting detection method of the present embodiment, multigroup characteristic of extraction shooting image are above-mentioned
Characteristic includes the area and side image less than the first gray threshold of the average gray value of direct picture, side image
Foreground area.And it is thick to the frosting coverage of evaporator, frosting according to multigroup characteristic using a variety of image processing methods
Degree, frosting rate and frosting direction carry out multi-analysis, improve the accuracy of frosting detection, reduce the mistake of frosting detection
Difference.
Further, the evaporimeter frosting detection method and frosting detecting system of the present embodiment, can be adapted for wind
Cold refrigerator and air conditioner provide accurate comprehensive distinguishing rule for the defrosting control of its evaporator, improve wind cooling refrigerator with
And the working efficiency of air conditioner, meet the use needs of user.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or derive many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers other all these variations or modifications.
Claims (12)
1. a kind of frosting detection method of evaporator, including：
The evaporator is shot from multiple angles respectively using multigroup filming apparatus, obtains several figures of the evaporator
Picture；
The multiple image is respectively processed, to obtain the multigroup characteristic for reflecting the evaporimeter frosting situation；With
And
The frosting situation that the evaporator is determined according to multigroup characteristic, using as the evaporator defrost start point and
The basis for estimation of end point；
Described image further includes the side image for the evaporator being continuously shot, to the evaporator being continuously shot
The step of side image is handled include：
Frosting dynamic change region in the side image for the evaporator being continuously shot described in extraction, as display foreground,
And using the area of the foreground and shape as the second feature data of the side image.
2. according to the method described in claim 1, wherein,
Described image includes the direct picture of the evaporator, and the step of handling the direct picture of the evaporator
Including：
Gray proces are carried out to the direct picture of the evaporator；
Evaporator region image is cut out from the image after gray proces；And
The average gray value for calculating the area image obtains the characteristic of the direct picture.
3. according to the method described in claim 2, wherein, the evaporator is determined according to the characteristic of the direct picture
The step of frosting situation includes：
Preset frosting coverage curve, which is inquired, according to the average gray value obtains the frosting coverage, the frosting covering
It writes music the frosting coverage corresponding with each average gray value preserved in line and advance with that experiment obtains.
4. according to the method described in claim 1, wherein,
Described image further includes the side image of the evaporator, and to step that the side image of the evaporator is handled
Suddenly include：
Gray proces are carried out to the side image of the evaporator；
Agglomerate processing is carried out to the side image after gray proces, is less than preset first gray scale in the side image to calculate
The area of the part of threshold value, the fisrt feature data as the side image.
5. according to the method described in claim 4, wherein, the evaporation is determined according to the fisrt feature data of the side image
The step of frosting situation of device includes：
Preset frosting thickness curve is inquired according to the area for the part for being less than first gray threshold in described image to obtain
The frosting thickness, preserve in the frosting thickness curve advance with that experiment obtains be less than first in each described image
The corresponding frosting thickness of area of the part of gray threshold.
6. according to the method described in claim 1, wherein, in the side image for the evaporator being continuously shot described in extraction
The step of frosting dynamic change region includes：
The pixel value of adjacent two field pictures in the side image of the evaporator being continuously shot is subtracted each other to obtain difference
Image；And
Part by gray value in the difference image higher than preset second gray threshold is labeled as the foreground.
7. according to the method described in claim 1, wherein, in the side image for the evaporator being continuously shot described in extraction
Frosting dynamic change region step further includes：
The optical flow field of image-region is calculated by the side image of the evaporator being continuously shot；
Light stream segmentation is carried out to described image region according to the optical flow field in described image region, obtained frosting dynamic is become
Change region as the foreground.
8. according to the method described in claim 1, wherein, the evaporation is determined according to the second feature data of the side image
The step of frosting situation of device includes：
The each position of the evaporator is derived according to the shooting time interval of the area of the foreground and shape and consecutive image
Frosting rate and frosting direction.
9. a kind of frosting detecting system of evaporator, including：
Multigroup filming apparatus, filming apparatus described in each group include a camera and a LED light, multigroup filming apparatus
Camera be configured to respectively shoot the evaporator from multiple angles, and provide bat using the corresponding LED light
Light source is taken the photograph, the multiple image of the evaporator is obtained；
Image processing apparatus is configured to be respectively processed the multiple image, reflects the evaporimeter frosting feelings to obtain
Multigroup characteristic of condition determines the frosting situation of the evaporator according to multigroup characteristic, using as the evaporation
Device defrosting starts the basis for estimation of point and end point；
At least one set of filming apparatus is set to the side of the evaporator, with the side view for the evaporator being continuously shot
Picture is simultaneously transmitted to described image processing unit；And
Described image processing unit is configured to, and the frosting in the side image for the evaporator being continuously shot described in extraction is dynamic
State region of variation, as display foreground, and using the area of the foreground and shape as the second feature number of the side image
According to；The each position of the evaporator is derived according to the shooting time interval of the area of the foreground and shape and consecutive image
Frosting rate and frosting direction.
10. detecting system according to claim 9, wherein
At least one set of filming apparatus is set as evaporator described in face, to shoot direct picture and the transmission of the evaporator
To described image processing unit；And
Described image processing unit is configured to, and gray proces are carried out to the direct picture of the evaporator；After gray proces
Image in cut out evaporator region image；The average gray value for calculating the area image, obtain it is described just
The characteristic of face image；And the frosting is obtained according to the preset frosting coverage curve of average gray value inquiry and is covered
Cover degree preserves the institute corresponding with each average gray value for advancing with that experiment obtains in the frosting coverage curve
State frosting coverage.
11. detecting system according to claim 9, wherein
At least one set of filming apparatus is set to the side of the evaporator, to shoot the side image and biography of the evaporator
Transport to described image processing unit；And
Described image processing unit is configured to, and gray proces are carried out to the side image of the evaporator；After gray proces
Side image carry out agglomerate processing, with calculate in described image less than the first gray threshold part area, as described
The fisrt feature data of side image；It is default according to the area inquiry for the part for being less than first gray threshold in described image
Frosting thickness curve obtain the frosting thickness, preserved in the frosting thickness curve advance with experiment obtain with it is each
Less than the corresponding frosting thickness of area of the part of the first gray threshold in described image.
12. detecting system according to claim 11, wherein described image processing unit is configured to：
The pixel value of adjacent two field pictures in the side image of the evaporator is subtracted each other to obtain difference image；And it will be described
Gray value is labeled as the foreground higher than the part of preset second gray threshold in difference image；Or by being continuously shot
The side image of the evaporator calculates the optical flow field of image-region；According to the optical flow field in described image region to described image area
Domain carries out light stream segmentation, using obtained frosting dynamic change region as the foreground；And
The each position of the evaporator is derived according to the shooting time interval of the area of the foreground and shape and consecutive image
Frosting rate and frosting direction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511025257.3A CN105654522B (en) | 2015-12-30 | 2015-12-30 | The frosting detection method and frosting detecting system of evaporator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511025257.3A CN105654522B (en) | 2015-12-30 | 2015-12-30 | The frosting detection method and frosting detecting system of evaporator |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105654522A CN105654522A (en) | 2016-06-08 |
| CN105654522B true CN105654522B (en) | 2018-09-04 |
Family
ID=56490244
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201511025257.3A Active CN105654522B (en) | 2015-12-30 | 2015-12-30 | The frosting detection method and frosting detecting system of evaporator |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105654522B (en) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106403422B (en) * | 2016-09-21 | 2019-03-01 | 广东工业大学 | A kind of polycyclic pipeline heat exchanger defrosting starting point determination method of air source heat pump and system |
| CN107166867B (en) * | 2017-05-09 | 2019-08-23 | 合肥美的智能科技有限公司 | Image output control method, controller and refrigerator |
| CN107665336A (en) * | 2017-09-20 | 2018-02-06 | 厦门理工学院 | Multi-target detection method based on Faster RCNN in intelligent refrigerator |
| CN108613460A (en) * | 2018-06-26 | 2018-10-02 | 北京工业大学 | A kind of air source heat pump control frost method for surveying white technology based on image recognition |
| CN109636835B (en) * | 2018-12-14 | 2023-07-04 | 中通服公众信息产业股份有限公司 | Foreground object detection method based on template optical flow |
| CN109855356B (en) * | 2019-01-04 | 2020-09-29 | 海尔智家股份有限公司 | Refrigerator and method for judging frosting degree of evaporator in refrigerator |
| CN110094925B (en) * | 2019-05-08 | 2023-12-29 | 南京工程学院 | Evaporator frosting detection method and defrosting application |
| CN110307617B (en) * | 2019-07-03 | 2020-05-26 | 珠海格力电器股份有限公司 | Heat exchanger, filth blockage detection method, device and system thereof, and electrical equipment |
| CN113536989B (en) * | 2021-06-29 | 2024-06-18 | 广州博通信息技术有限公司 | Refrigerator frosting monitoring method and system based on frame-by-frame analysis of camera video |
| CN115412020B (en) * | 2022-08-08 | 2024-05-31 | 合肥中南光电有限公司 | Plate surface defrosting system for solar photovoltaic plate |
| CN115727478A (en) * | 2022-11-21 | 2023-03-03 | 珠海格力电器股份有限公司 | Air conditioning unit frostless control method and system and air conditioner |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101929755A (en) * | 2009-06-23 | 2010-12-29 | 南京理工大学 | Image recognition technology-based air source heat pump defrosting system and control method thereof |
| CN203704875U (en) * | 2013-05-02 | 2014-07-09 | 大连三洋压缩机有限公司 | System for measuring thickness of frost layer based on image processing technology |
| CN104089364A (en) * | 2014-06-16 | 2014-10-08 | 华南理工大学 | On-line defrosting detection and control system and method for heat pump type electric automobile air conditioner |
-
2015
- 2015-12-30 CN CN201511025257.3A patent/CN105654522B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101929755A (en) * | 2009-06-23 | 2010-12-29 | 南京理工大学 | Image recognition technology-based air source heat pump defrosting system and control method thereof |
| CN203704875U (en) * | 2013-05-02 | 2014-07-09 | 大连三洋压缩机有限公司 | System for measuring thickness of frost layer based on image processing technology |
| CN104089364A (en) * | 2014-06-16 | 2014-10-08 | 华南理工大学 | On-line defrosting detection and control system and method for heat pump type electric automobile air conditioner |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105654522A (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105654522B (en) | The frosting detection method and frosting detecting system of evaporator | |
| CN105913028B (en) | Face + + platform-based face tracking method and device | |
| US9213896B2 (en) | Method for detecting and tracking objects in image sequences of scenes acquired by a stationary camera | |
| CN107452015B (en) | Target tracking system with re-detection mechanism | |
| CN112313684A (en) | Refrigerator, server and control method thereof | |
| US10599269B2 (en) | Near touch interaction | |
| US20190171910A1 (en) | Best Image Crop Selection | |
| CN105783413A (en) | Method of obtaining information of articles stored in refrigerator and refrigerator | |
| Kerl et al. | Towards illumination-invariant 3D reconstruction using ToF RGB-D cameras | |
| CN110966834A (en) | Method for identifying food material types in refrigerator and refrigerator | |
| Jiddi et al. | Estimation of position and intensity of dynamic light sources using cast shadows on textured real surfaces | |
| CN109872343B (en) | Weak texture object posture tracking method, system and device | |
| JP2010128711A (en) | Weather change detection device, weather change detection method and weather change detection program | |
| JP4991356B2 (en) | Image processing apparatus, image processing method, and image processing program | |
| JP4751871B2 (en) | Imaging object detection apparatus and method | |
| JP7113281B2 (en) | refrigerator | |
| US20220114819A1 (en) | Cell tracking method, image processing device, and program | |
| CN109961422A (en) | The determination of the contrast value of digital picture | |
| Bo et al. | Moving object detection based on improved ViBe algorithm | |
| CN114429593A (en) | Infrared small target detection method based on rapid guided filtering and application thereof | |
| Liu et al. | Collaborative mean shift tracking based on multi-cue integration and auxiliary objects | |
| CN113137797A (en) | Refrigerator control method, refrigerator and computer-readable storage medium | |
| Gao et al. | A fast detection method for infrared small targets in complex sea and sky background | |
| ur Rahman et al. | Effective image processing-based technique for frost detection and quantification in domestic refrigerators | |
| Wen et al. | A vision system for shot tracking and thrown distance measurement |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |