CN109138792A - Smart home defogging method - Google Patents
Smart home defogging method Download PDFInfo
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- CN109138792A CN109138792A CN201810105023.7A CN201810105023A CN109138792A CN 109138792 A CN109138792 A CN 109138792A CN 201810105023 A CN201810105023 A CN 201810105023A CN 109138792 A CN109138792 A CN 109138792A
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Classifications
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- E—FIXED CONSTRUCTIONS
- E06—DOORS, WINDOWS, SHUTTERS, OR ROLLER BLINDS IN GENERAL; LADDERS
- E06B—FIXED OR MOVABLE CLOSURES FOR OPENINGS IN BUILDINGS, VEHICLES, FENCES OR LIKE ENCLOSURES IN GENERAL, e.g. DOORS, WINDOWS, BLINDS, GATES
- E06B3/00—Window sashes, door leaves, or like elements for closing wall or like openings; Layout of fixed or moving closures, e.g. windows in wall or like openings; Features of rigidly-mounted outer frames relating to the mounting of wing frames
- E06B3/66—Units comprising two or more parallel glass or like panes permanently secured together
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- E—FIXED CONSTRUCTIONS
- E06—DOORS, WINDOWS, SHUTTERS, OR ROLLER BLINDS IN GENERAL; LADDERS
- E06B—FIXED OR MOVABLE CLOSURES FOR OPENINGS IN BUILDINGS, VEHICLES, FENCES OR LIKE ENCLOSURES IN GENERAL, e.g. DOORS, WINDOWS, BLINDS, GATES
- E06B7/00—Special arrangements or measures in connection with doors or windows
- E06B7/28—Other arrangements on doors or windows, e.g. door-plates, windows adapted to carry plants, hooks for window cleaners
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- Engineering & Computer Science (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
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- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of smart home defogging method, this method includes that smart home demister system is provided to eliminate fog automatically.By means of the invention it is possible to eliminate fog automatically, and then improve durability.
Description
Technical field
The present invention relates to smart home field more particularly to a kind of smart home defogging methods.
Background technique
Smart home technology is the product that technology of Internet of things incorporates Home Fashion & Design Shanghai, is based on Internet of Things thought, smart home skill
Art tries hard to activate the various equipment of home life, and this kind of equipment is also referred to as smart home device, is equipped with sensor and communication network
Network connects smart home device, so that smart home device and domestic environment are combined into smart home system behaviour institute
With.With the development of science and technology, the popularization of especially Internet of Things, keeps the intelligent article in family more and more, intelligent air condition, intelligence
Kitchen range, intelligent monitoring, intelligent door, intelligent lamp, smart television, Intelligent shower etc. are gradually popularized.
Automatic defrosting detects indoor humidity generally by moisture sensor at present, and the humidity value that will test is used as and removes
Mist index decides whether to open defrosting function；This defogging method often will appear malfunction in actual use,
Directly affect the usage experience of user, waste of energy.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of smart home defogging methods, can be in high precision image point
On the basis of analysis, the position of double window is accurately identified, and on this basis, double window position is carried out based on figure
As the fog Concentration Testing of analysis, and based on testing result determination and corresponding wind speed driving signal is issued, thus by double window
Except fog discharge window between family.
According to an aspect of the present invention, a kind of smart home defogging method is provided, this method includes providing double window
Demister system eliminates fog automatically, and the double window demister system includes:
Blower is dried, is arranged near window, for providing the baking of different wind speed under the control of drying driving equipment
Hot dry wind；
Driving equipment is dried, is connected respectively with the drying blower, the connecting pipe and the pipeline that exchanges, setting exists
Near window, for receiving wind speed driving signal, to realize the control to the drying blower；
Connecting pipe, one end connects with the air outlet of the drying blower, the other end be embedded in the glass outer of window with
Between inner layer glass, for by from it is described drying blower air outlet at drying heat blow to window glass outer with
Between inner layer glass；
Pipeline is exchanged, one end is embedded between the glass outer of window and inner layer glass, and it is corresponding that the other end leads to window
Drying hot wind in indoor environment, for being discharged between the glass outer of window and inner layer glass；
Dual camera component, setting on window opposite, including horizontally disposed two cameras, for front scenery into
Row shooting, to obtain left side scene image and right side scene image respectively；
Disparity Analysis equipment is separately connected, for receiving the left side with two cameras of the dual camera component
Scene image and the right side scene image, and the left side scene image is divided into multiple cut zone, and based on each
A cut zone finds the similar area of matching content in the right side scene image, each in the scene image of left side is divided
The coordinate shift of region and its similar area in the scene image of right side is based on the left side scene image as zone shift amount
Each region offset determine the parallax between the left side scene image and the right side scene image；
Focus adjustment equipment is connect with the dual camera component and the Disparity Analysis equipment respectively, for being based on institute
Stating parallax determines the main target shot in the left side scene image or the right side scene image apart from the dual camera
The distance of component, and focus adjustment is carried out to described two cameras based on the distance.
The present invention at least has the inventive point of following key:
(1) the window demisting mechanism based on image procossing is devised, the probability of replacement window is reduced；
(2) target area and nontarget area are obtained by the way of to image analysis edge line to be identified, it is more crucial
, after the subsequent recognition failures of target area, feed back to adjust acquisition of the images to be recognized to target area, and recycle knowledge
For other process until identifying successfully, the target identification mode of this circulation feedback reduces the operational data amount and meter of identification
Calculate complexity；
(3) different features is distributed based on both window area and non-window area lightness to identify window target,
Improve the accuracy of identification of window target；
(4) pass through the parallax of scene image and right side scene image on the left of obtaining respectively to horizontally disposed two cameras
Analysis determines distance of the main target apart from camera in the scenery of front, accordingly to adjust the focal length of two cameras, and by two
The image of a camera shooting is combined, to obtain the big field-of-view image of high-definition.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the appearance profile according to the corresponding double window of double window demister system shown in embodiment of the present invention
Figure.
Fig. 2 is the structural block diagram according to the double window demister system shown in embodiment of the present invention.
Specific embodiment
The embodiment of double window demister system of the invention is described in detail below with reference to accompanying drawings.
Double window is it is characterized in that glass is made the hollow flat box shaped body that six faces are glass surface, in hollow flat box body shape
There are glass support column, this glass energy sound insulation, while reducing the interference of various noises in city, winter can also play warming, the summer
It can play heat-insulated effect, build a peace and quiet for people, comfortable to live.
Double window is able to ascend environmental degree of comfort.During the broiling summer, it keeps indoor comfortable, feel nice and cool；In the cold winter
Keep indoor warm in season.Double glazing relies on special construction, cold and hot conduction inside and outside effective air lock, when outdoor temperature is subzero
At 20 DEG C, only 3 to 5 DEG C lower than indoor air temperature of the interior table temperature of double glazing, reduce cold and hot radiation phenomenon, even if station exists
Before window, the feeling that cold air attacks people there will not be, can improve the body-sensing comfort level of indoor environment.
However, due to impregnating rainwater or indoor moisture environment or the reason of defective workmanship, two layers of double window
Enter a small amount of moisture between glass, and once enters moisture, due to the encapsulating structure between layer glass, moisture is difficult to be discharged,
Fog will be formed when temperature rises, will be maintained between layer glass, beauty is not only influenced, also influences the service life of double window.
In order to overcome above-mentioned deficiency, the present invention has built a kind of smart home defogging method, and this method includes providing bilayer
Window demister system eliminates fog automatically.The double window demister system can detect fog inside double window
In the case of, fog discharge is carried out rapidly, to avoid the long-term existence of fog inside double window.
Fig. 1 is the appearance profile according to the corresponding double window of double window demister system shown in embodiment of the present invention
Figure.
Fig. 2 is the structural block diagram according to the double window demister system shown in embodiment of the present invention, the system packet
It includes:
Blower is dried, is arranged near window, for providing the baking of different wind speed under the control of drying driving equipment
Hot dry wind；
Driving equipment is dried, is connected respectively with the drying blower, the connecting pipe and the pipeline that exchanges, setting exists
Near window, for receiving wind speed driving signal, to realize the control to the drying blower.
Then, continue that the specific structure of double window demister system of the invention is further detailed.
Can also include: in the double window demister system
Connecting pipe, one end connects with the air outlet of the drying blower, the other end be embedded in the glass outer of window with
Between inner layer glass, for by from it is described drying blower air outlet at drying heat blow to window glass outer with
Between inner layer glass.
Can also include: in the double window demister system
Pipeline is exchanged, one end is embedded between the glass outer of window and inner layer glass, and it is corresponding that the other end leads to window
Drying hot wind in indoor environment, for being discharged between the glass outer of window and inner layer glass；
Dual camera component, setting on window opposite, including horizontally disposed two cameras, for front scenery into
Row shooting, to obtain left side scene image and right side scene image respectively.
Can also include: in the double window demister system
Disparity Analysis equipment is separately connected, for receiving the left side with two cameras of the dual camera component
Scene image and the right side scene image, and the left side scene image is divided into multiple cut zone, and based on each
A cut zone finds the similar area of matching content in the right side scene image, each in the scene image of left side is divided
The coordinate shift of region and its similar area in the scene image of right side is based on the left side scene image as zone shift amount
Each region offset determine the parallax between the left side scene image and the right side scene image.
Can also include: in the double window demister system
Focus adjustment equipment is connect with the dual camera component and the Disparity Analysis equipment respectively, for being based on institute
Stating parallax determines the main target shot in the left side scene image or the right side scene image apart from the dual camera
The distance of component, and focus adjustment is carried out to described two cameras based on the distance；
Image combining apparatus is connect with the focus adjustment equipment and the dual camera component, in the focal length
After adjustment equipment completes focus adjustment, described two cameras are obtained to left side scene image respectively and right side scene image carries out
Combination is to obtain and export focus image；
White balance processing equipment is connect with described image unit equipment, for receiving the focus image, and to described right
Burnt image executes white balance processing, to obtain and export white balance image；
Window frame detection device is connect with the white balance processing equipment, for receiving the white balance image, to described white
The content balanced in image carries out edge detection, to obtain multiple edge lines in the white balance image, the multiple edge
Line includes multiple horizontal edge lines, multiple vertical edge lines and multiple other types edge lines, takes the multiple horizontal edge line
The horizontal edge line of middle the top and the horizontal edge line of bottom, take the vertical edge line of the leftmost side in multiple vertical edge lines
With the vertical edge line of the rightmost side, rectangle subgraph is obtained based on above-mentioned four edges edge line；
Lightness detection device is connect, for receiving the white balance image and the rectangle with the window frame detection device
The region of the non-rectangle subgraph in the white balance image is determined as non-window area, by the rectangle by subgraph
Region of the subgraph in the white balance image is determined as window area；For each of window area pixel
Point calculates the average value of centered on it, each pixel in surrounding 7 pixels × 7 pixel regions lightness to put down as it
Equal lightness, the mean lightness based on each pixel in the window area obtain the corresponding mean lightness of the window area
Image；For each of non-window area pixel, centered on it, surrounding 7 pixels × 7 pixel regions are calculated
The average value of the lightness of interior each pixel is using as its mean lightness, based on each pixel in the non-window area
Mean lightness obtains the corresponding mean lightness image of the non-window area；
Window identifies equipment, connect with the lightness detection device, for the mean lightness image to the window area
Statistics with histogram is executed, obtains the histogram vectors of the corresponding lightness of the window area using as window histogram vectors, it is right
The mean lightness image of the non-window area executes statistics with histogram, obtains the histogram of the corresponding lightness of the non-window area
Figure vector is big in non-window histogram and the mould of the difference of window histogram vectors to be also used to as non-window histogram vectors
When being equal to default lightness difference, identification success signal is issued, and the window area is exported, and in non-window histogram
When being less than default lightness difference with the mould of the difference of window histogram vectors, recognition failures signal is issued；
Embedded processing chip identifies that equipment and the window frame detection device are connect with the window respectively, for connecing
It is 1 to stop the window knowledge to the white balance image by built-in state register tagging when receiving the identification success signal
Not, it is also used to when receiving the recognition failures signal, is 0 to control the window frame detection by built-in state register tagging
Equipment reduces the area of the rectangle subgraph based on the multiple edge line, in order to the lightness detection device and the window
The processing again of family identification equipment；
Fog detection device identifies equipment and the embedded processing with the drying driving equipment, the window respectively
Chip connection, for carrying out fog Concentration Testing to the window area, and be based on when receiving the identification success signal
Testing result is determining and issues corresponding wind speed driving signal；
Wherein, the Disparity Analysis equipment determines the left side based on each region offset of the left side scene image
Parallax between scene image and the right side scene image includes: by the highest region of the frequency of occurrences in the offset of each region
Offset is as the parallax between the left side scene image and the right side scene image.
In the double window demister system:
In the fog detection device, the fog concentration detected is higher, the corresponding wind speed driving for determining and issuing
The drying hot wind wind speed for including in signal is bigger.
In the double window demister system:
The fog detection device is also used to issue when the fog concentration detected is lower than preset concentration threshold value and stop drying
Dry information.
In the double window demister system:
The drying driving equipment closes the drying blower, and control institute when receiving the stopping drying information
The switchgear in connecting pipe is stated to close the switchgear in the connecting pipe, and the control exchange pipeline to seal
Close the exchange pipeline.
In addition, each of described horizontally disposed two cameras all include cmos sensor.Cmos image sensing
Device is a kind of typical solid state image sensor, has common historical origin with CCD.Cmos image sensor is usually by image-sensitive
Cell array, line driver, row driver, time sequence control logic, AD converter, data/address bus output interface, control interface etc.
A few part compositions, this several part is usually all integrated on same silicon wafer.Its course of work generally can be divided into reset, photoelectricity turns
It changes, integrate, reading several parts.
Other digital signal processing circuits can also be integrated on cmos image sensor chip, such as AD converter, automatically
Light exposure control, nonuniform compensation, white balance processing, black level control, Gamma correction etc., even can in order to quickly calculate
Will have the DSP device of programmable functions to integrate with cmos device, to form at single-chip digital camera and image
Reason system.
Using double window demister system of the invention, the technology for being difficult to demisting for double window in the prior art is asked
Topic, identifies window target by being distributed different features based on both window area and non-window area lightness, improves
The accuracy of identification of window target, and on the basis of window target identification, devise the window fogbroom based on image procossing
System reduces the probability of replacement window, realizes the antifogging inside double window.
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 (8)
1. a kind of smart home defogging method, this method includes providing double window demister system to eliminate fog automatically, described
Double window demister system includes:
Blower is dried, is arranged near window, under the control of drying driving equipment, providing the drying heat of different wind speed
Wind；
Driving equipment is dried, connects, is arranged in window with the drying blower, the connecting pipe and the pipeline that exchanges respectively
Near, for receiving wind speed driving signal, to realize the control to the drying blower.
2. the method as described in claim 1, which is characterized in that the system also includes:
Connecting pipe, one end are connect with the air outlet of the drying blower, and the other end is embedded in the glass outer and internal layer of window
Between glass, for by from it is described drying blower air outlet at drying heat blow to window glass outer and internal layer
Between glass.
3. method according to claim 2, which is characterized in that the system also includes:
Pipeline is exchanged, one end is embedded between the glass outer of window and inner layer glass, and the other end leads to the corresponding interior of window
Drying hot wind in environment, for being discharged between the glass outer of window and inner layer glass；
Dual camera component is arranged on window opposite, including horizontally disposed two cameras, for clapping front scenery
It takes the photograph, to obtain left side scene image and right side scene image respectively.
4. method as claimed in claim 3, which is characterized in that the system also includes:
Disparity Analysis equipment is separately connected, for receiving the left side scenery with two cameras of the dual camera component
Image and the right side scene image, and the left side scene image is divided into multiple cut zone, and based on each point
The similar area that matching content is found in region in the right side scene image is cut, by each cut zone in the scene image of left side
Coordinate shift with its similar area in the scene image of right side is as zone shift amount, based on each of the left side scene image
A zone shift amount determines the parallax between the left side scene image and the right side scene image.
5. method as claimed in claim 4, which is characterized in that the system also includes:
Focus adjustment equipment is connect with the dual camera component and the Disparity Analysis equipment respectively, for being based on the view
Difference determines the main target shot in the left side scene image or the right side scene image apart from the dual camera component
Distance, and based on the distance to described two cameras carry out focus adjustment；
Image combining apparatus is connect with the focus adjustment equipment and the dual camera component, in the focus adjustment
After equipment completes focus adjustment, described two cameras are obtained to left side scene image respectively and right side scene image is combined
To obtain and export focus image；
White balance processing equipment is connect with described image unit equipment, is schemed for receiving the focus image, and to the focusing
As executing white balance processing, to obtain and export white balance image；
Window frame detection device is connect with the white balance processing equipment, for receiving the white balance image, to the white balance
Content in image carries out edge detection, to obtain multiple edge lines in the white balance image, the multiple edge line packet
Multiple horizontal edge lines, multiple vertical edge lines and multiple other types edge lines are included, is taken in the multiple horizontal edge line most
The horizontal edge line of top and the horizontal edge line of bottom take in multiple vertical edge lines the vertical edge line of the leftmost side and most
The vertical edge line on right side obtains rectangle subgraph based on above-mentioned four edges edge line；
Lightness detection device is connect with the window frame detection device, for receiving the white balance image and the rectangle subgraph
The region of the non-rectangle subgraph in the white balance image is determined as non-window area, by the rectangle subgraph by picture
As the region in the white balance image is determined as window area；For each of window area pixel, meter
The average value for calculating centered on it, each pixel in surrounding 7 pixels × 7 pixel regions lightness is bright to be averaged as it
Degree, the mean lightness based on each pixel in the window area obtain the corresponding mean lightness figure of the window area
Picture；For each of non-window area pixel, calculate in centered on it, surrounding 7 pixels × 7 pixel regions
The average value of the lightness of each pixel is flat based on each pixel in the non-window area using as its mean lightness
Equal lightness obtains the corresponding mean lightness image of the non-window area；
Window identifies equipment, connect with the lightness detection device, executes for the mean lightness image to the window area
Statistics with histogram obtains the histogram vectors of the corresponding lightness of the window area using as window histogram vectors, to described
The mean lightness image of non-window area executes statistics with histogram, obtain the histogram of the corresponding lightness of the non-window area to
Measure using as non-window histogram vectors, be also used to the mould of the difference in non-window histogram Yu window histogram vectors greater than etc.
When default lightness difference, identification success signal is issued, and the window area is exported, and in non-window histogram and window
When the mould of the difference of family histogram vectors is less than default lightness difference, recognition failures signal is issued；
Embedded processing chip identifies that equipment and the window frame detection device are connect with the window respectively, for receiving
It is 1 to stop the window identification to the white balance image by built-in state register tagging, also when the identification success signal
For being 0 to control the window frame detection device by built-in state register tagging when receiving the recognition failures signal
The area of the rectangle subgraph is reduced, based on the multiple edge line in order to which the lightness detection device and the window are known
The processing again of other equipment；
Fog detection device identifies equipment and the embedded processing chip with the drying driving equipment, the window respectively
Connection, for carrying out fog Concentration Testing to the window area, and based on detection when receiving the identification success signal
As a result it determines and issues corresponding wind speed driving signal；
Wherein, the Disparity Analysis equipment determines the left side scenery based on each region offset of the left side scene image
Parallax between image and the right side scene image includes: by the highest region offset of the frequency of occurrences in the offset of each region
Amount is as the parallax between the left side scene image and the right side scene image.
6. method as claimed in claim 5, it is characterised in that:
In the fog detection device, the fog concentration detected is higher, the corresponding wind speed driving signal for determining and issuing
In include drying hot wind wind speed it is bigger.
7. method as claimed in claim 6, it is characterised in that:
The fog detection device is also used to issue when the fog concentration detected is lower than preset concentration threshold value and stop drying letter
Breath.
8. the method for claim 7, it is characterised in that:
The drying driving equipment closes the drying blower, and control the company when receiving the stopping drying information
Switchgear in adapter tube road is to close the switchgear in the connecting pipe, and the control exchange pipeline to close
State exchange pipeline.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810105023.7A CN109138792A (en) | 2018-02-02 | 2018-02-02 | Smart home defogging method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810105023.7A CN109138792A (en) | 2018-02-02 | 2018-02-02 | Smart home defogging method |
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| Publication Number | Publication Date |
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| CN109138792A true CN109138792A (en) | 2019-01-04 |
Family
ID=64801588
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810105023.7A Pending CN109138792A (en) | 2018-02-02 | 2018-02-02 | Smart home defogging method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034786A (en) * | 2021-03-09 | 2021-06-25 | 深圳市极客智能科技有限公司 | Intelligent container based on AI identification and intelligent settlement system thereof |
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| CN204175134U (en) * | 2014-09-19 | 2015-02-25 | 苏州兴亚净化工程有限公司 | A kind of electric heating purification double window |
| CN105667251A (en) * | 2016-02-18 | 2016-06-15 | 广东欧珀移动通信有限公司 | Automobile defogging method and device |
| CN205445358U (en) * | 2015-12-25 | 2016-08-10 | 曹小婷 | Defogging glass |
| CN206693862U (en) * | 2017-04-10 | 2017-12-01 | 嵊州市诺和玻璃制品有限公司 | A kind of windowpane with defrosting function |
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2018
- 2018-02-02 CN CN201810105023.7A patent/CN109138792A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204175134U (en) * | 2014-09-19 | 2015-02-25 | 苏州兴亚净化工程有限公司 | A kind of electric heating purification double window |
| CN205445358U (en) * | 2015-12-25 | 2016-08-10 | 曹小婷 | Defogging glass |
| CN105667251A (en) * | 2016-02-18 | 2016-06-15 | 广东欧珀移动通信有限公司 | Automobile defogging method and device |
| CN206693862U (en) * | 2017-04-10 | 2017-12-01 | 嵊州市诺和玻璃制品有限公司 | A kind of windowpane with defrosting function |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113034786A (en) * | 2021-03-09 | 2021-06-25 | 深圳市极客智能科技有限公司 | Intelligent container based on AI identification and intelligent settlement system thereof |
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Application publication date: 20190104 |