CN109724983A - Refrigerator-freezer integrity degree analysis platform - Google Patents
Refrigerator-freezer integrity degree analysis platform Download PDFInfo
- Publication number
- CN109724983A CN109724983A CN201811347276.1A CN201811347276A CN109724983A CN 109724983 A CN109724983 A CN 109724983A CN 201811347276 A CN201811347276 A CN 201811347276A CN 109724983 A CN109724983 A CN 109724983A
- Authority
- CN
- China
- Prior art keywords
- refrigerator
- freezer
- equipment
- image
- sub
- 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.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 42
- 238000004891 communication Methods 0.000 claims abstract description 8
- 238000001914 filtration Methods 0.000 claims description 52
- 238000012545 processing Methods 0.000 claims description 30
- 238000001514 detection method Methods 0.000 claims description 10
- 230000015271 coagulation Effects 0.000 claims description 4
- 238000005345 coagulation Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 2
- 238000010025 steaming Methods 0.000 claims 1
- 235000013305 food Nutrition 0.000 description 4
- 230000005611 electricity Effects 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000003707 image sharpening Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 1
- 238000005138 cryopreservation Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Landscapes
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of refrigerator-freezer integrity degree analysis platforms, comprising: refrigerator-freezer main structure, including compressor, the first condenser, the second condenser, First Heat Exchanger, the second heat exchanger, the first evaporator, the second evaporator；Compressor is connect with First Heat Exchanger and the second condenser respectively, and the second heat exchanger is connect with the second evaporator, and First Heat Exchanger is also connect with the second condenser and the first condenser respectively；Integrity degree analytical equipment, to send refrigerator-freezer complete instruction when matching degree is more than preset percentage threshold value, otherwise, sends the imperfect instruction of refrigerator-freezer for carrying out outline to the refrigerator-freezer object in referential pattern based on refrigerator-freezer nominal contour；Tdd communication apparatus is connect with integrity degree analytical equipment, for when receiving the imperfect instruction of refrigerator-freezer, the imperfect instruction of refrigerator-freezer and referential pattern to be wirelessly sent to the mobile terminal of refrigerator-freezer possessor.By means of the invention it is possible to the safe operation of effective guarantee refrigerator-freezer.
Description
Technical field
The present invention relates to refrigerator-freezer apparatus field more particularly to a kind of refrigerator-freezer integrity degree analysis platforms.
Background technique
The power consumption of refrigerator-freezer is divided into rated energy consumption and actual power consumption amount.Rated energy consumption be at 25 DEG C of environment temperature,
Refrigerator-freezer is in steady operational status (5 DEG C of -18 DEG C of freezing chamber maximum temperatures of refrigerating chamber mean temperature), runs electricity consumed by 24H
Energy.Actual power consumption amount refers to the electric energy that refrigerator consumes in actual use.Refrigerator actual power consumption amount is some cases greater than specified consumption
Electricity, sometimes less than rated energy consumption, actual power consumption amount with refrigerator-freezer environment difference, store food number, control temperature in case
The height and door opening times of degree how much and length of time and change, environment temperature is higher, and the food of storage is more, control in case
Temperature is lower, and door opening times are more, and each opening time is longer, and the power consumption of refrigerator is bigger.Conversely, power consumption is smaller.
Summary of the invention
In order to solve refrigerator-freezer in the prior art because a variety of causes is incomplete and the technical issues of possessor is unable to learn in time,
The present invention provides a kind of refrigerator-freezer integrity degree analysis platforms, measure to the target number of unit area in image, to obtain
The target density of each unit area in image, using the pattern of the maximum unit area of target density in the picture as referential
Pattern, to reduce data volume to be processed；Each pixel value of each pixel in contrast processing image is obtained, and will
Maximum value in each pixel value divided by the minimum value in each pixel value to obtain pixel value ratio, and described
When pixel value ratio does not transfinite, subsequent image sharpening movement is continued to execute；It is particularly critical, using targetedly image procossing
Mechanism, it is accurate to obtain refrigerator-freezer profile integrity degree, and when determining that refrigerator-freezer is imperfect, by the imperfect instruction of refrigerator-freezer and live pattern without
Line is sent to the mobile terminal of refrigerator-freezer possessor.
According to an aspect of the present invention, a kind of refrigerator-freezer integrity degree analysis platform is provided, the platform includes:
Refrigerator-freezer main structure, including compressor, the first condenser, the second condenser, First Heat Exchanger, the second heat exchanger,
One evaporator, the second evaporator；In the refrigerator-freezer main structure, the compressor respectively with the First Heat Exchanger and described
The connection of two condensers, second heat exchanger connect with second evaporator, and the First Heat Exchanger is also respectively with described the
Two condensers are connected with first condenser.The top of the refrigerator-freezer main structure is arranged in top imager, for described
Refrigerator-freezer main structure surrounding carries out imaging movement, to obtain corresponding top image；Signal filtering equipment, with the top at
As instrument connection, for receiving the top image, signal analysis is executed to the top image, to tie based on analysis
Fruit executes corresponding filtering operation to the top image, and obtains signal filtering image；Parameter processing device, and it is described
Signal filtering equipment connection executes pair of preset strength to the signal filtering image for receiving the signal filtering image
It is handled than degree promotion, to obtain and export corresponding parameter processing image；Change detection device, connects with the parameter processing device
It connects, for receiving the parameter processing image, obtains each pixel value of each pixel in the parameter processing image, and
Maximum value in each pixel value is obtained into pixel value ratio divided by the minimum value in each pixel value, and in institute
It when stating pixel value ratio transfinites, issues without sharpening instruction, otherwise, issues and sharpen request instruction；It sharpens and executes equipment, and it is described
Change detection device connection, for starting to the real-time of the parameter processing image when receiving the sharpening request instruction
Sharpening movement, to obtain corresponding real-time sharpening image；Pattern extracting device executes equipment with the sharpening and connect, for connecing
The real-time sharpening image is received, the target number of unit area in the real-time sharpening image is measured, described in obtaining
The target density of each unit area, is compared the target density of each unit area, by target in real-time sharpening image
Pattern of the maximum unit area of density in the real-time sharpening image is as referential pattern；Integrity degree analytical equipment, with
The pattern extracting device connection, for carrying out profile to the refrigerator-freezer object in the referential pattern based on refrigerator-freezer nominal contour
Otherwise matching, sends the imperfect instruction of refrigerator-freezer to send refrigerator-freezer complete instruction when matching degree is more than preset percentage threshold value；
Tdd communication apparatus is connect with the integrity degree analytical equipment, will for when receiving the imperfect instruction of the refrigerator-freezer
The imperfect instruction of refrigerator-freezer and the referential pattern are wirelessly sent to the mobile terminal of refrigerator-freezer possessor；Wherein, the figure
Case extracting device is general array logic chip device, and the pattern extracting device includes the sub- equipment of target measurement and density
Handle sub- equipment；Wherein, in the pattern extracting device, the target number of unit area is fewer, and the target of unit area is close
It spends smaller.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the variation detection device includes that pixel value extracts son
Equipment, max pixel value detect sub- equipment, minimum pixel value detects sub- equipment, ratio calculates sub- equipment and instruction distribution is set
It is standby.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the sharpening executes equipment and is receiving described be not necessarily to
When sharpening instruction, directly exported using the parameter processing image as real-time sharpening image.
More specifically, in the refrigerator-freezer integrity degree analysis platform, further includes:
PSTN communication interface is connect with described image extracting device, for receiving the referential pattern, and described in transmission
Referential pattern.
More specifically, in the refrigerator-freezer integrity degree analysis platform, further includes:
EDO DRAM stores equipment, connect, is used for the integrity degree analytical equipment and the pattern extracting device respectively
Store the target density of each unit area in the refrigerator-freezer nominal contour and the real-time sharpening image.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes Selection of Wavelet Basis
Equipment judges the average depth value of the target in the top image, and based on described for receiving top image
Average depth value selects the wavelet basis function for executing wavelet filtering.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes that shape customization is set
It is standby, it is connect with the sub- equipment of the Selection of Wavelet Basis, for being determined based on the average depth value for executing in median filtering
Value filtering window shape.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes that pixel matching is set
It is standby, it is connect with the sub- equipment of the Selection of Wavelet Basis, for judging in the top image degree of correlation between pixel two-by-two
Grade.
More specifically, in the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes self-adaptive processing
Equipment customizes sub- equipment with the sub- equipment of the Selection of Wavelet Basis, the shape respectively and the sub- equipment of the pixel matching is connect, will
Each of top image pixel is determined as object pixel based on the median filtering window shape with described
Median filtering window centered on object pixel, will be big with the degree of correlation grade of the object pixel in the median filtering window
In filtered pixel value of the mean value as the object pixel of the pixel value for all pixels for being equal to predetermined level threshold value, base
The sub- equipment of coagulation is obtained in the filtered pixel value of all object pixels, is also used to based on determining wavelet basis function pair
The sub- equipment of coagulation executes corresponding wavelet filtering processing to obtain simultaneously output signal filtering image.
Specific embodiment
The embodiment of refrigerator-freezer integrity degree analysis platform of the invention will be described in detail below.
Refrigerator-freezer is with the mechanical equipment of cryo-conservation food and other items.Industrial refrigerator be suitable for industrial environment, as dining room,
Food processing and supermarket.
Environment temperature increase, can bring about refrigerator-freezer heat dissipation it is slack-off, slowed down under the temperature inside the box, the available machine time caused to lengthen, consume
Electricity increases.Because refrigerator internal-external temperature difference is big, cabinet insulation layer radiating rate can also be accelerated, and lost cooling capacity can be caused more, cause to stop
The machine time shortens, and the response available machine time will lengthen, and power consumption is caused to increase.Common refrigerator-freezer is analyzed by experimental data,
1.6-1.8 times when power consumption is 25 DEG C when 2 times or so, 30 DEG C when power consumption is 25 DEG C when environment temperature is up to 32 DEG C is left
It is right.
In order to overcome above-mentioned deficiency, the present invention has built a kind of refrigerator-freezer integrity degree analysis platform, can effectively solve the problem that corresponding
The technical issues of.
The refrigerator-freezer integrity degree analysis platform shown according to an embodiment of the present invention includes:
Refrigerator-freezer main structure, including compressor, the first condenser, the second condenser, First Heat Exchanger, the second heat exchanger,
One evaporator, the second evaporator；
In the refrigerator-freezer main structure, the compressor connects with the First Heat Exchanger and second condenser respectively
Connect, second heat exchanger is connect with second evaporator, the First Heat Exchanger also respectively with second condenser and
The first condenser connection.
The top of the refrigerator-freezer main structure is arranged in top imager, for the refrigerator-freezer main structure surrounding carry out at
As movement, to obtain corresponding top image；
Signal filtering equipment is connect with the top imager, for receiving the top image, to the top
Image executes signal analysis, to execute corresponding filtering operation to the top image based on analysis result, and obtains
Obtain signal filtering image；
Parameter processing device is connect with the signal filtering equipment, for receiving the signal filtering image, to the letter
Number filtering image executes the contrast promotion processing of preset strength, to obtain and export corresponding parameter processing image；
Change detection device, connect with the parameter processing device, for receiving the parameter processing image, described in acquisition
Each pixel value of each pixel in parameter processing image, and by the maximum value in each pixel value divided by described each
Minimum value in a pixel value is issued to obtain pixel value ratio, and when the pixel value ratio transfinites without sharpening instruction,
Otherwise, it issues and sharpens request instruction；
It sharpens and executes equipment, connect with the variation detection device, for opening when receiving the sharpening request instruction
The dynamic real-time sharpening to the parameter processing image acts, to obtain corresponding real-time sharpening image；
Pattern extracting device executes equipment with the sharpening and connect, for receiving the real-time sharpening image, to the reality
When sharpening image in the target number of unit area measure, to obtain each unit area in the real-time sharpening image
Target density is compared the target density of each unit area, by the maximum unit area of target density described real-time
Pattern in sharpening image is as referential pattern；
Integrity degree analytical equipment is connect with the pattern extracting device, for being based on refrigerator-freezer nominal contour to the reference
Property pattern in refrigerator-freezer object carry out outline, with matching degree be more than preset percentage threshold value when, send refrigerator-freezer completely refer to
It enables, otherwise, sends the imperfect instruction of refrigerator-freezer；
Tdd communication apparatus is connect with the integrity degree analytical equipment, for receive the refrigerator-freezer imperfect
When instruction, the imperfect instruction of the refrigerator-freezer and the referential pattern are wirelessly sent to the mobile terminal of refrigerator-freezer possessor；
Wherein, the pattern extracting device is general array logic chip device, and the pattern extracting device includes mesh
Mapping quantum devices and density handle sub- equipment；
Wherein, in the pattern extracting device, the target number of unit area is fewer, and the target density of unit area is got over
It is small.
Then, continue that the specific structure of refrigerator-freezer integrity degree analysis platform of the invention is further detailed.
In the refrigerator-freezer integrity degree analysis platform: the variation detection device includes that pixel value extracts sub- equipment, maximum
Pixel value detects sub- equipment, minimum pixel value detects sub- equipment, ratio calculates sub- equipment and sub- equipment is distributed in instruction.
In the refrigerator-freezer integrity degree analysis platform: the sharpening execute equipment receive it is described without sharpening instruction
When, directly exported using the parameter processing image as real-time sharpening image.
In the refrigerator-freezer integrity degree analysis platform, further includes:
PSTN communication interface is connect with described image extracting device, for receiving the referential pattern, and described in transmission
Referential pattern.
In the refrigerator-freezer integrity degree analysis platform, further includes:
EDO DRAM stores equipment, connect, is used for the integrity degree analytical equipment and the pattern extracting device respectively
Store the target density of each unit area in the refrigerator-freezer nominal contour and the real-time sharpening image.
In the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes the sub- equipment of Selection of Wavelet Basis, is used for
Top image is received, judges the average depth value of the target in the top image, and be based on the mean depth
Value selects the wavelet basis function for executing wavelet filtering.
In the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes that shape customizes sub- equipment, and described
The sub- equipment connection of Selection of Wavelet Basis, for determining the median filtering window for executing median filtering based on the average depth value
Shape.
In the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes the sub- equipment of pixel matching, and described
Selection of Wavelet Basis sub- equipment connection, for judging in the top image degree of correlation grade between pixel two-by-two.
In the refrigerator-freezer integrity degree analysis platform: the signal filtering equipment includes the sub- equipment of self-adaptive processing, respectively
Sub- equipment is customized with the sub- equipment of the Selection of Wavelet Basis, the shape and the sub- equipment of the pixel matching is connect, by the top
Each of image pixel is determined as object pixel based on the median filtering window shape with the object pixel
Centered on median filtering window, will be more than or equal in the median filtering window with the degree of correlation grade of the object pixel pre-
If filtered pixel value of the mean value of the pixel value of all pixels of grade threshold as the object pixel, it is based on all mesh
The filtered pixel value for marking pixel obtains the sub- equipment of coagulation, is also used to based on determining wavelet basis function to the level-one
It handles sub- equipment and executes corresponding wavelet filtering processing to obtain simultaneously output signal filtering image.
In addition, in the PSTN communication interface, PSTN (Public Switched Telephone Network) definition:
Public Switched Telephone Network, PSTN provide the proprietary channel of a simulation, via several telephone exchanges between channel
It is formed by connecting.When two hosts or router device need to connect by PSTN, in the network insertion side at both ends, (i.e. user is returned
Trackside) modem (Modem) must be used to realize the analog/digital of signal, D/A switch.Come from the angle of OSI seven layer model
It sees, PSTN can regard a simple extension of physical layer as, not provide a user the clothes such as flow control, Error Control
Business.Moreover, because PSTN is a kind of mode of circuit switching, so an access is from establishing until discharging, whole bandwidth are only
It can be used by the equipment at access both ends, even if needing to transmit there is no any data between them.Therefore, this circuit switching
Mode, which can not achieve, makes full use of network bandwidth.Network interconnection citing is carried out by PSTN, one passes through PSTN connection two
The example of the network interconnection of a local area network.In the two local area networks, respectively there is a router, each router has a string
Row port is connected with Modem, and Modem is connected with PSTN again, to realize the interconnection of the two local area networks.
Using refrigerator-freezer integrity degree analysis platform of the invention, mould is detected for refrigerator-freezer profile electronization is lacked in the prior art
The technical issues of formula, is measured by the target number to unit area in image, to obtain each unit area in image
Target density, using the pattern of the maximum unit area of target density in the picture as referential pattern, so that reducing will locate
The data volume of reason；Each pixel value of each pixel in contrast processing image is obtained, and will be in each pixel value
Maximum value pixel value ratio is obtained divided by the minimum value in each pixel value, and do not transfinite in the pixel value ratio
When, continue to execute subsequent image sharpening movement；It is particularly critical, using targetedly image procossing mechanism, accurately obtain ice
Cabinet profile integrity degree, and when determining that refrigerator-freezer is imperfect, the imperfect instruction of refrigerator-freezer and live pattern are wirelessly sent to refrigerator-freezer and gathered around
The mobile terminal of someone；To solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (9)
1. a kind of refrigerator-freezer integrity degree analysis platform, the platform include:
Refrigerator-freezer main structure, including compressor, the first condenser, the second condenser, First Heat Exchanger, the second heat exchanger, the first steaming
Send out device, the second evaporator；
In the refrigerator-freezer main structure, the compressor is connect with the First Heat Exchanger and second condenser respectively, institute
The second heat exchanger is stated to connect with second evaporator, the First Heat Exchanger also respectively with second condenser and described
The connection of one condenser.
The top of the refrigerator-freezer main structure is arranged in top imager, dynamic for carrying out imaging to the refrigerator-freezer main structure surrounding
Make, to obtain corresponding top image；
Signal filtering equipment is connect with the top imager, and for receiving the top image, the top is imaged
Image executes signal analysis, to execute corresponding filtering operation to the top image based on analysis result, and obtains letter
Number filtering image；
Parameter processing device is connect with the signal filtering equipment, for receiving the signal filtering image, is filtered to the signal
Wave image executes the contrast promotion processing of preset strength, to obtain and export corresponding parameter processing image；
Change detection device, is connect with the parameter processing device, for receiving the parameter processing image, obtain the parameter
Each pixel value of each pixel in image is handled, and by the maximum value in each pixel value divided by each picture
Minimum value in plain value is issued to obtain pixel value ratio, and when the pixel value ratio transfinites without sharpening instruction, no
Then, it issues and sharpens request instruction；
It sharpens and executes equipment, connect with the variation detection device, for when receiving the sharpening request instruction, started pair
The real-time sharpening of the parameter processing image acts, to obtain corresponding real-time sharpening image；
Pattern extracting device executes equipment with the sharpening and connect, for receiving the real-time sharpening image, to described sharp in real time
The target number for changing unit area in image measures, to obtain the target of each unit area in the real-time sharpening image
Density is compared the target density of each unit area, by the maximum unit area of target density in the real-time sharpening
Pattern in image is as referential pattern；
Integrity degree analytical equipment is connect with the pattern extracting device, for being based on refrigerator-freezer nominal contour to the referential figure
Refrigerator-freezer object in case carries out outline, no to send refrigerator-freezer complete instruction when matching degree is more than preset percentage threshold value
Then, the imperfect instruction of refrigerator-freezer is sent；
Tdd communication apparatus is connect with the integrity degree analytical equipment, for receiving the imperfect instruction of the refrigerator-freezer
When, the imperfect instruction of the refrigerator-freezer and the referential pattern are wirelessly sent to the mobile terminal of refrigerator-freezer possessor；
Wherein, the pattern extracting device is general array logic chip device, and the pattern extracting device includes that target is surveyed
Quantum devices and density handle sub- equipment；
Wherein, in the pattern extracting device, the target number of unit area is fewer, and the target density of unit area is smaller.
2. refrigerator-freezer integrity degree analysis platform as described in claim 1, it is characterised in that:
The variation detection device includes that pixel value extracts sub- equipment, max pixel value detects sub- equipment, minimum pixel value detection
Sub- equipment, ratio calculate sub- equipment and sub- equipment is distributed in instruction.
3. refrigerator-freezer integrity degree analysis platform as claimed in claim 2, it is characterised in that:
The sharpening executes equipment when receiving the instruction without sharpening, directly using the parameter processing image as in real time
Sharpening image output.
4. refrigerator-freezer integrity degree analysis platform as claimed in claim 3, which is characterized in that the platform further include:
PSTN communication interface is connect with described image extracting device, for receiving the referential pattern, and sends the reference
Property pattern.
5. refrigerator-freezer integrity degree analysis platform as claimed in claim 4, which is characterized in that the platform further include:
EDO DRAM stores equipment, connect respectively with the integrity degree analytical equipment and the pattern extracting device, for storing
The target density of each unit area in the refrigerator-freezer nominal contour and the real-time sharpening image.
6. refrigerator-freezer integrity degree analysis platform as claimed in claim 5, it is characterised in that:
The signal filtering equipment includes the sub- equipment of Selection of Wavelet Basis, for receive top image, judge the top at
The wavelet basis letter for executing wavelet filtering is selected as the average depth value of the target in image, and based on the average depth value
Number.
7. refrigerator-freezer integrity degree analysis platform as claimed in claim 6, it is characterised in that:
The signal filtering equipment includes that shape customizes sub- equipment, is connect with the sub- equipment of the Selection of Wavelet Basis, for being based on institute
It states average depth value and determines median filtering window shape for executing median filtering.
8. refrigerator-freezer integrity degree analysis platform as claimed in claim 7, it is characterised in that:
The signal filtering equipment includes the sub- equipment of pixel matching, is connect with the sub- equipment of the Selection of Wavelet Basis, for judging
State in the image of top the degree of correlation grade between pixel two-by-two.
9. refrigerator-freezer integrity degree analysis platform as claimed in claim 8, it is characterised in that:
The signal filtering equipment includes the sub- equipment of self-adaptive processing, respectively with the sub- equipment of the Selection of Wavelet Basis, the shape
It customizes sub- equipment to connect with the sub- equipment of the pixel matching, using each of top image pixel as target picture
Element determines the median filtering window centered on the object pixel based on the median filtering window shape, by the intermediate value
It is more than or equal to the pixel value of all pixels of predetermined level threshold value in filter window with the degree of correlation grade of the object pixel
Filtered pixel value of the mean value as the object pixel, the filtered pixel value based on all object pixels obtain level-one
Sub- equipment is handled, is also used to execute at corresponding wavelet filtering the equipment of the coagulation based on determining wavelet basis function
Reason is to obtain simultaneously output signal filtering image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811347276.1A CN109724983B (en) | 2018-11-13 | 2018-11-13 | Refrigerator integrity analysis platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811347276.1A CN109724983B (en) | 2018-11-13 | 2018-11-13 | Refrigerator integrity analysis platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109724983A true CN109724983A (en) | 2019-05-07 |
| CN109724983B CN109724983B (en) | 2021-04-27 |
Family
ID=66295380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811347276.1A Active CN109724983B (en) | 2018-11-13 | 2018-11-13 | Refrigerator integrity analysis platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109724983B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030026495A1 (en) * | 2001-03-07 | 2003-02-06 | Gondek Jay Stephen | Parameterized sharpening and smoothing method and apparatus |
| US20110242418A1 (en) * | 2010-03-30 | 2011-10-06 | Sony Corporation | Image processing apparatus and image processing method |
| CN102413316A (en) * | 2010-09-17 | 2012-04-11 | 通用电气公司 | Member integrity monitoring system and method |
| US20130329098A1 (en) * | 2012-05-31 | 2013-12-12 | Apple Inc. | Systems and Methods for Defective Pixel Correction with Neighboring Pixels |
| CN104394336A (en) * | 2014-12-01 | 2015-03-04 | 北京思比科微电子技术股份有限公司 | Method and system of sharpening image contour based on CMOS image sensor |
| CN107578410A (en) * | 2017-04-26 | 2018-01-12 | 济南铁路天龙高新技术开发有限公司 | Notch of switch machine automatic distinguishing method for image |
| CN206974923U (en) * | 2017-03-27 | 2018-02-06 | 苗振海 | refrigerator appearance quality detection system |
| CN208026655U (en) * | 2018-04-19 | 2018-10-30 | 滁州克莱帝玻璃科技有限公司 | A kind of verifying attachment of refrigerator shelf glass |
-
2018
- 2018-11-13 CN CN201811347276.1A patent/CN109724983B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030026495A1 (en) * | 2001-03-07 | 2003-02-06 | Gondek Jay Stephen | Parameterized sharpening and smoothing method and apparatus |
| US20110242418A1 (en) * | 2010-03-30 | 2011-10-06 | Sony Corporation | Image processing apparatus and image processing method |
| CN102413316A (en) * | 2010-09-17 | 2012-04-11 | 通用电气公司 | Member integrity monitoring system and method |
| US20130329098A1 (en) * | 2012-05-31 | 2013-12-12 | Apple Inc. | Systems and Methods for Defective Pixel Correction with Neighboring Pixels |
| CN104394336A (en) * | 2014-12-01 | 2015-03-04 | 北京思比科微电子技术股份有限公司 | Method and system of sharpening image contour based on CMOS image sensor |
| CN206974923U (en) * | 2017-03-27 | 2018-02-06 | 苗振海 | refrigerator appearance quality detection system |
| CN107578410A (en) * | 2017-04-26 | 2018-01-12 | 济南铁路天龙高新技术开发有限公司 | Notch of switch machine automatic distinguishing method for image |
| CN208026655U (en) * | 2018-04-19 | 2018-10-30 | 滁州克莱帝玻璃科技有限公司 | A kind of verifying attachment of refrigerator shelf glass |
Non-Patent Citations (2)
| Title |
|---|
| 无: "冰箱箱体发泡材料隔热层缺陷的检测方法", 《家用电器科技》 * |
| 王田 等: "基于图像特征分析的物体轮廓提取", 《北京航空航天大学学报》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109724983B (en) | 2021-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020000504A1 (en) | Arima-based cold storage temperature and humidity data prediction method and related product | |
| CN105444511B (en) | A kind of intelligent temperature control method of refrigerator, device and refrigerator | |
| CN107786959B (en) | Compressed data collection method in wireless sensor network based on adaptive measuring | |
| CN108362073A (en) | The management method and system of food in a kind of refrigerator | |
| CN109102669A (en) | A kind of transformer substation auxiliary facility detection control method and its device | |
| CN105407175A (en) | Oven control system and oven control method | |
| CN107181650B (en) | Intelligent household appliance control system | |
| CN111288965B (en) | Cloud processing type inclination state identification system | |
| CN110096016A (en) | A kind of large cold storage FCS complex control system and fuzzy control method | |
| CN104374158A (en) | Novel intelligent refrigerator with pressure sensor | |
| CN106529808A (en) | Refrigerator asset management method and device thereof | |
| CN107645772A (en) | Human body positioning method, human body positioning system and positioning server | |
| US11460192B2 (en) | System for the preparation of at least one food product and method for operating the relevant system | |
| CN109724983A (en) | Refrigerator-freezer integrity degree analysis platform | |
| CN109544569B (en) | Automatic deicing type single-door refrigerator | |
| CN106209404B (en) | Analyzing abnormal network flow method and system | |
| CN108761391B (en) | Model type equipment-free target positioning method | |
| CN105700402A (en) | Personnel detection-based embedded control system, device and method | |
| CN106941681A (en) | A kind of method, device and base station for determining antenna polarization type | |
| CN114484968A (en) | Refrigerator and control method thereof | |
| CN107295089A (en) | A kind of internet agricultural technology operation control system based on wechat platform | |
| CN103731892A (en) | Hidden Markov Model (HMM) based cell handover decision algorithm and device | |
| CN108391096B (en) | Indoor liveness real-time measurement system | |
| Riad et al. | Low-Cost Wi-Fi-based System Using Passive Microwave Sensors for Liquid Characterization | |
| CN108369056A (en) | Device and method for Multi-function networked |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210408 Address after: 312500 No.76 Yazhang village, Ru'ao Town, Xinchang County, Shaoxing City, Zhejiang Province Applicant after: Xinchang County niukan Agricultural Development Co.,Ltd. Address before: No. 16-4, Nanzhai Middle Road, Nancun, Simen Town, Yuyao City, Ningbo City, Zhejiang Province Applicant before: NINGBO ZEJIN ELECTRICAL APPLIANCE TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20211129 Address after: 312500 Nanyan, Qixing street, Xinchang County, Shaoxing City, Zhejiang Province (Xinchang provincial high tech Park) Patentee after: ZHEJIANG WUFENG AUTOMOBILE BEARING MANUFACTURING Co.,Ltd. Address before: 312500 No.76 Yazhang village, Ru'ao Town, Xinchang County, Shaoxing City, Zhejiang Province Patentee before: Xinchang County niukan Agricultural Development Co.,Ltd. |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Freezer integrity analysis platform Effective date of registration: 20211224 Granted publication date: 20210427 Pledgee: Xinchang Zhejiang rural commercial bank Limited by Share Ltd. Pledgor: ZHEJIANG WUFENG AUTOMOBILE BEARING MANUFACTURING Co.,Ltd. Registration number: Y2021330002621 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20220714 Granted publication date: 20210427 Pledgee: Xinchang Zhejiang rural commercial bank Limited by Share Ltd. Pledgor: ZHEJIANG WUFENG AUTOMOBILE BEARING MANUFACTURING Co.,Ltd. Registration number: Y2021330002621 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240509 Address after: 312500 No.1 aokeng Road, Qixing street, Xinchang County, Shaoxing City, Zhejiang Province Patentee after: Shaoxing Hezhong Machinery Manufacturing Co.,Ltd. Country or region after: China Address before: 312500 Nanyan, Qixing street, Xinchang County, Shaoxing City, Zhejiang Province (Xinchang provincial high tech Park) Patentee before: ZHEJIANG WUFENG AUTOMOBILE BEARING MANUFACTURING Co.,Ltd. Country or region before: China |
|
| TR01 | Transfer of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Freezer Integrity Analysis Platform Granted publication date: 20210427 Pledgee: Postal Savings Bank of China Limited by Share Ltd. Xinchang branch Pledgor: Shaoxing Hezhong Machinery Manufacturing Co.,Ltd. Registration number: Y2024330000817 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right |