CN109916062A - Cabinet air-conditioner based on image measurement - Google Patents
Cabinet air-conditioner based on image measurement Download PDFInfo
- Publication number
- CN109916062A CN109916062A CN201810827701.0A CN201810827701A CN109916062A CN 109916062 A CN109916062 A CN 109916062A CN 201810827701 A CN201810827701 A CN 201810827701A CN 109916062 A CN109916062 A CN 109916062A
- Authority
- CN
- China
- Prior art keywords
- image
- fragment
- equipment
- dust
- value
- 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
Landscapes
- Investigating Or Analysing Materials By Optical Means (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of cabinet air-conditioners based on image measurement, comprising: ac motor is arranged in the cabinet body of air-conditioning, for providing power for the operation of air-conditioning；Electrical structure is arranged in the cabinet body of air-conditioning, including temperature controller, relay, capacitor and heater；Dust measuring instrument, including emission control switch, parallel optical transmitting set, light intensity detector and dust estimator；State verification equipment, for obtaining the brightness value of each pixel in fragment combination image, brightness value is less than or equal to the pixel of smog luminance threshold as smog pixel, determine the quantity of the smog pixel in fragment combination image using as the first quantity, determine the quantity of whole pixels in the fragment combination image as the second quantity, by first quantity divided by the second quantity to obtain proportional numerical value, when the proportional numerical value transfinites, smog alarm signal is issued.Through the invention, the reliability of operation of cabinet air-conditioner is improved.
Description
Technical field
The present invention relates to cabinet air-conditioner field more particularly to a kind of cabinet air-conditioners based on image measurement.
Background technique
Cabinet air-conditioner is one kind of split-type air conditioner, is commonly used to family and small office, and cabinet air-conditioner has power
Greatly, the advantages that wind-force is strong, price starting point is also more relatively high, is commonly available to the room of larger area, is to buy hanging air conditioner
Or cabinet air-conditioner needs are determined according to the actual needs of user.Area smaller hanging-type air-conditioning of buying in parlor can be dealt with,
Certainly cabinet air-conditioner is still preferably chosen as parlor area is bigger than normal, to ensure good cooling or heating effect.
Summary of the invention
In order to solve the technical issues of existing cabinet air-conditioner hardware resource is underused, the present invention provides one kind to be based on
The cabinet air-conditioner of image measurement is determined based on the ranking results of the Y channel value average value to fragment each in image to each broken
The Edge contrast strategy of piece, wherein the different sharpening dynamics of each fragment are also determined based on the fuzziness dynamics table of comparisons；To right
Image more enhanced than degree carries out high-precision image simplification processing, to obtain image to be analyzed, is convenient for subsequent image recognition
And image detection；Use the dust measuring instrument of customization with based on detection common sense collimated monochromatic ligth relative attenuation rate physically
The presence of detection dust granule on this basis confirms dust granule using the mode of image analysis, and uses Supersonic
Wave dedusting mode carries out the orientation removal of dust granule；On the basis of above-mentioned high Precision Processing, introduced for existing hardware platform
Effective Smoke Detection mechanism.
According to an aspect of the present invention, a kind of cabinet air-conditioner based on image measurement is provided, the cabinet air-conditioner includes:
Ac motor is arranged in the cabinet body of air-conditioning, for providing power for the operation of air-conditioning；Electrical structure, setting
In the cabinet body of air-conditioning, including temperature controller, relay, capacitor and heater；Dust measuring instrument, including emission control switch,
Parallel optical transmitting set, light intensity detector and dust estimator, the emission control switch are working for the dust measuring instrument
The parallel optical transmitting set is opened when mode, is also used to the dust measuring instrument and is closed the parallel light emitting in battery saving mode
The surface of imaging sensor is arranged in device, the parallel optical transmitting set, for sending one to the surface of described image sensor
The surface of described image sensor is arranged in beam collimated monochromatic ligth, the light intensity detector, for measuring the parallel monochrome
Light is converted to electric signal and the voltage value that obtains is using as virtual voltage, by the virtual voltage divided by preset reference voltage with
Relative attenuation rate is obtained, and when the relative attenuation rate is more than limitation, issues the exceeded signal of dust；Image capture device is used
In carrying out panoramic image data acquisition to environment where air-conditioning, to export panorama acquisition image；Image analysis equipment, respectively with institute
It states dust measuring instrument and described image acquisition equipment to connect, for when receiving the exceeded signal of the dust, from battery saving mode
Into operating mode, and in the operational mode, following operation is executed to panorama acquisition image: by brightness value in default dust
Pixel in range of luminance values acquires each pixel to be processed in image as pixel to be processed, and by the panorama
It is fitted to multiple pending areas；Dust confirms equipment, connect with described image analyzing device, the multiple wait locate for receiving
Region is managed, using area and the area matched pending area of default dust as dust area, and acquires image in the panorama
In the quantity of dust area when transfiniting, issue processing trigger signal；Ultrasonic cleaner connects with dust confirmation equipment
It connects, acquires image for when receiving the processing trigger signal, receiving the panorama from dust confirmation equipment
In dust area quantity, and based on the panorama acquisition image in dust area quantity use respective intensities Supersonic
Wave dedusting mode；Contrast enhances equipment, connect with described image acquisition equipment, right for receiving the panorama acquisition image
The panorama acquisition image executes contrast enhancement processing, to obtain contrast enhancing image, and exports the contrast enhancing
Image；First noise control equipment is connect with contrast enhancing equipment, right for receiving the contrast enhancing image
Contrast enhancing image carries out noise type analysis, with obtain in the contrast enhancing image various noise types and
The corresponding maximum amplitude of each noise type；Second noise control equipment connect with first noise control equipment, is used for
Various noise types and the corresponding maximum amplitude of each noise type in the contrast enhancing image are received, based on maximum
The sequence from big to small of amplitude is ranked up the various noise types, using serial number first three three kinds of noise types as three
Kind noise type output to be processed；Weight analysis equipment is connect with second noise control equipment, for receiving described three kinds
Noise type to be processed determines that described three kinds noise types to be processed are three corresponding based on the type weight table of comparisons
Weighing factor, and correcting process in order is carried out to the initialization binarization threshold using three weighing factors, with
The amendment threshold value after correcting process is obtained, and exports the amendmentization threshold value；Image simplification equipment, with the weight point
Desorption device connection executes contrast enhancing image using the amendmentization threshold value for receiving the amendmentization threshold value
Binary conversion treatment to obtain image to be analyzed, and exports the image to be analyzed；Nonlinear filtering wave device, with described image letter
Change equipment connection, for receiving the image to be analyzed, nonlinear filtering image is executed to the image to be analyzed, to obtain simultaneously
Export corresponding nonlinear filtering image；SD storage chip is connect with fragment sequencing equipment and ambiguity resolution equipment respectively, is used
In storing the preset quantity, it is also used to store the fuzziness dynamics table of comparisons, wherein the fuzziness dynamics table of comparisons saves
The corresponding dynamics of various fuzzinesses, the fuzziness dynamics table of comparisons are index with fuzziness；Fragment sequencing equipment, and it is described non-
The connection of linear filtering equipment, for receiving the nonlinear filtering image, to each fragment of the nonlinear filtering image into
The mean value calculation of row Y channel value, to obtain each Y channel value average value of each fragment, wherein each fragment it is big
It is small identical；The fragment sequencing equipment is also used to be ranked up each Y channel value average value of each fragment, by serial number
The multiple fragments and serial number for coming stem preset quantity come multiple fragments of tail portion preset quantity as each to be processed broken
Piece output, each fragment except fragment to be processed each in the nonlinear filtering image is defeated as each background fragment
Out；In the fragment sequencing equipment, the average value meter of Y channel value is carried out to each fragment of the nonlinear filtering image
It calculates, includes: the Y channel value for obtaining each pixel of each fragment to obtain each Y channel value average value of each fragment
Value carries out sequence from big to small to the Y channel value value of each pixel, the Y that serial number comes the pixel at center is led to
Y channel value average value of the road value value as corresponding fragment；Ambiguity resolution equipment connect with the fragment sequencing equipment, is used for
Each fragment to be processed and each background fragment are received, following operation: base is executed for each fragment to be processed
Corresponding Edge contrast is executed to the fragment to be processed in the fuzziness of the fragment to be processed, to obtain at corresponding sharpening
Manage fragment；Image reconstruction device is connect with the ambiguity resolution equipment, for receiving multiple Edge contrast fragments, and by institute
It states multiple Edge contrast fragments and each background fragment is combined to obtain fragment combination image, and export the fragment
Combine image；State verification equipment is connect with described image reconstructing apparatus, for receiving the fragment combination image, obtains institute
State fragment combination image in each pixel brightness value, using brightness value be less than or equal to smog luminance threshold pixel as
Smog pixel determines the quantity of the smog pixel in the fragment combination image to determine described broken as the first quantity
Piece combines the quantity of whole pixels in image as the second quantity, and first quantity is obtained ratio divided by the second quantity
Number of cases value issues smog alarm signal when the proportional numerical value transfinites.
More specifically, in the cabinet air-conditioner based on image measurement: in the object acquisition equipment, when the ratio
When number of cases value does not transfinite, smog normal signal is issued.
More specifically, in the cabinet air-conditioner based on image measurement: in the ultrasonic cleaner, being based on institute
It includes: the panorama acquisition that the quantity for stating the dust area in panorama acquisition image, which uses the ultrasonic dedusting mode of respective intensities,
The quantity of dust area in image is more, and the respective intensities of the ultrasonic dedusting mode of use are higher.
More specifically, in the cabinet air-conditioner based on image measurement: in the ambiguity resolution equipment, fuzziness
Bigger, the dynamics for executing corresponding Edge contrast to the fragment to be processed is bigger, using the DYNAMIC DISTRIBUTION model of fragment to be processed
Enclosing indicates the fuzziness, and the DYNAMIC DISTRIBUTION range is wider, and the fuzziness is smaller.
More specifically, in the cabinet air-conditioner based on image measurement: the dust measuring instrument is also used in the phase
When being less than limitation to attenuation rate, dust normal signal is issued.
More specifically, in the cabinet air-conditioner based on image measurement: the parallel optical transmitting set transmitting is parallel monochromatic
The transmission power of light is constant.
More specifically, in the cabinet air-conditioner based on image measurement: the preset reference voltage is described image biography
There is no the voltage values that when a dust, the collimated monochromatic ligth is converted to electric signal and is obtained on sensor.
More specifically, in the cabinet air-conditioner based on image measurement: institute is also stored in advance in the weight analysis equipment
The type weight table of comparisons is stated, the type weight table of comparisons saves influence power of each kind noise type to binarization threshold
Weight, is also used to be stored in advance initialization binarization threshold.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structural schematic diagram according to the cabinet air-conditioner based on image measurement shown in embodiment of the present invention.
Specific embodiment
The embodiment of the cabinet air-conditioner of the invention based on image measurement is described in detail below with reference to accompanying drawings.
The power of floor air conditioner is all bigger, and generally at 2 or more, the requirement to work together to circuit is relatively high, cuts
The small electric wire in face and small ammeter cannot meet the needs, it is therefore desirable to using the ammeter of copper core electric wire and 20A or more, to avoid can
Hidden danger existing for energy.
In order to overcome above-mentioned deficiency, the present invention has built a kind of cabinet air-conditioner based on image measurement, can effectively solve the problem that
Corresponding technical problem.
Fig. 1 is the structural schematic diagram according to the cabinet air-conditioner based on image measurement shown in embodiment of the present invention, described
Cabinet air-conditioner includes:
Ac motor is arranged in the cabinet body of air-conditioning, for providing power for the operation of air-conditioning；
Electrical structure is arranged in the cabinet body of air-conditioning, including temperature controller, relay, capacitor and heater；
Dust measuring instrument, including emission control switch, parallel optical transmitting set, light intensity detector and dust estimator, it is described
Emission control switch opens the parallel optical transmitting set in operating mode for the dust measuring instrument, is also used to the dust
Measuring instrument closes the parallel optical transmitting set in battery saving mode, the parallel optical transmitting set be arranged in imaging sensor just on
Side, for sending a branch of collimated monochromatic ligth to the surface of described image sensor, the light intensity detector is arranged in described image
The collimated monochromatic ligth is converted to electric signal and the voltage value that obtains is using as practical electricity for measuring by the surface of sensor
The virtual voltage is obtained relative attenuation rate divided by preset reference voltage, and is more than limitation in the relative attenuation rate by pressure
When, issue the exceeded signal of dust；
Image capture device, for carrying out panoramic image data acquisition to environment where air-conditioning, to export panorama acquisition figure
Picture；
Image analysis equipment is connect, for receiving respectively with the dust measuring instrument and described image acquisition equipment
When the exceeded signal of the dust, enters operating mode from battery saving mode, and in the operational mode, panorama acquisition image is held
The following operation of row: presetting the pixel in dust range of luminance values as pixel to be processed for brightness value, and will be described complete
Each pixel to be processed in scape acquisition image is fitted to multiple pending areas；
Dust confirms equipment, connect with described image analyzing device, for receiving the multiple pending area, by area
Area matched pending area acquires the dust area in image as dust area, and in the panorama with default dust
When quantity transfinites, processing trigger signal is issued；
Ultrasonic cleaner is connect with dust confirmation equipment, for when receiving the processing trigger signal,
The quantity of the dust area in the panorama acquisition image from dust confirmation equipment is received, and is adopted based on the panorama
The quantity for collecting the dust area in image uses the ultrasonic dedusting mode of respective intensities；
Contrast enhances equipment, connect with described image acquisition equipment, for receiving the panorama acquisition image, to described
Panorama acquires image and executes contrast enhancement processing, to obtain contrast enhancing image, and exports the contrast enhancing image；
First noise control equipment is connect with contrast enhancing equipment, for receiving the contrast enhancing image,
Noise type analysis is carried out to contrast enhancing image, with obtain in contrast enhancing image various noise types with
And the corresponding maximum amplitude of each noise type；
Second noise control equipment is connect with first noise control equipment, for receiving the contrast enhancing figure
Various noise types and the corresponding maximum amplitude of each noise type as in, the sequence from big to small based on maximum amplitude
The various noise types are ranked up, using serial number first three three kinds of noise types it is defeated as three kinds of noise types to be processed
Out；
Weight analysis equipment is connect with second noise control equipment, for receiving described three kinds noise classes to be processed
Type determines corresponding three weighing factors of described three kinds noise types to be processed based on the type weight table of comparisons, and
Correcting process in order is carried out to the initialization binarization threshold using three weighing factors, to obtain correcting process
After amendment threshold value, and export the amendmentization threshold value；
Image simplification equipment is connect with the weight analysis equipment, for receiving the amendmentization threshold value, is repaired using described
Positizing threshold value executes binary conversion treatment to contrast enhancing image, to obtain image to be analyzed, and exports described to be analyzed
Image；
Nonlinear filtering wave device, with described image simplify equipment connect, for receiving the image to be analyzed, to it is described to
It analyzes image and executes nonlinear filtering image, to obtain and export corresponding nonlinear filtering image；
SD storage chip is connect with fragment sequencing equipment and ambiguity resolution equipment respectively, for storing the present count
Amount, is also used to store the fuzziness dynamics table of comparisons, wherein to save various fuzzinesses corresponding for the fuzziness dynamics table of comparisons
Dynamics, the fuzziness dynamics table of comparisons are index with fuzziness；
Fragment sequencing equipment is connect with the nonlinear filtering wave device, for receiving the nonlinear filtering image, to institute
The each fragment for stating nonlinear filtering image carries out the mean value calculation of Y channel value, to obtain each Y channel value of each fragment
Average value, wherein the size of each fragment is identical；The fragment sequencing equipment is also used to each of each fragment
Y channel value average value is ranked up, and serial number is come multiple fragments of stem preset quantity and serial number comes tail portion present count
Multiple fragments of amount are exported as each fragment to be processed, except fragment to be processed each in the nonlinear filtering image
Each fragment is exported as each background fragment；In the fragment sequencing equipment, to each of the nonlinear filtering image
Fragment carries out the mean value calculation of Y channel value, includes: to obtain each to obtain each Y channel value average value of each fragment
The Y channel value value of each pixel of fragment carries out sequence from big to small to the Y channel value value of each pixel, will
Serial number comes Y channel value average value of the Y channel value value of the pixel at center as corresponding fragment；
Ambiguity resolution equipment is connect with the fragment sequencing equipment, for receiving each fragment to be processed and institute
Each background fragment is stated, following operation: the fuzziness pair based on the fragment to be processed is executed for each fragment to be processed
The fragment to be processed executes corresponding Edge contrast, to obtain corresponding Edge contrast fragment；
Image reconstruction device is connect with the ambiguity resolution equipment, for receiving multiple Edge contrast fragments, and by institute
It states multiple Edge contrast fragments and each background fragment is combined to obtain fragment combination image, and export the fragment
Combine image；
State verification equipment is connect with described image reconstructing apparatus, for receiving fragment combination image, described in acquisition
Fragment combines the brightness value of each pixel in image, and brightness value is less than or equal to the pixel of smog luminance threshold as cigarette
Mist pixel determines the quantity of the smog pixel in the fragment combination image to determine the fragment as the first quantity
The quantity of whole pixels in image is combined as the second quantity, by first quantity divided by the second quantity to obtain ratio
Numerical value issues smog alarm signal when the proportional numerical value transfinites.
Then, continue that the specific structure of the cabinet air-conditioner of the invention based on image measurement is further detailed.
In the cabinet air-conditioner based on image measurement: in the object acquisition equipment, when the proportional numerical value not
When transfiniting, smog normal signal is issued.
In the cabinet air-conditioner based on image measurement: in the ultrasonic cleaner, being adopted based on the panorama
The quantity of dust area in collection image includes: in the panorama acquisition image using the ultrasonic dedusting mode of respective intensities
The quantity of dust area is more, and the respective intensities of the ultrasonic dedusting mode of use are higher.
In the cabinet air-conditioner based on image measurement: in the ambiguity resolution equipment, fuzziness is bigger, to institute
State fragment to be processed execute corresponding Edge contrast dynamics it is bigger, described in the DYNAMIC DISTRIBUTION Range Representation using fragment to be processed
Fuzziness, the DYNAMIC DISTRIBUTION range is wider, and the fuzziness is smaller.
In the cabinet air-conditioner based on image measurement: the dust measuring instrument be also used to the relative attenuation rate not
When more than limitation, dust normal signal is issued.
In the cabinet air-conditioner based on image measurement: the transmitting function of the parallel optical transmitting set transmitting collimated monochromatic ligth
Rate is constant.
In the cabinet air-conditioner based on image measurement: the preset reference voltage is not deposit in described image sensor
In a dust, the collimated monochromatic ligth is converted into electric signal and the voltage value that obtains.
And in the cabinet air-conditioner based on image measurement: the type is also stored in advance in the weight analysis equipment
The weight table of comparisons, the type weight table of comparisons save each kind noise type to the weighing factor of binarization threshold, also
For initialization binarization threshold to be stored in advance.
In addition, replacing the SD storage chip using FLASH flash memory.FLASH flash memory is nonvolatile storage, can be symmetrical
Memory cell block for block is carried out erasable and is reprogramd.The write operation of any flash device can only be empty or wiped
It is carried out in unit, so in most cases, erasing must be first carried out before carrying out write operation.NAND device executes erasing
Operation is foolproof, and NOR then requires that position all in object block is all first written as 0 before being wiped.
It when due to erasing NOR device is carried out with the block of 64~128KB, executes the time of write/erase operation
For 5s, in contrast, erasing NAND device is carried out with the block of 8~32KB, is executed identical operation and is at most only needed 4ms.
The difference of block size has further widened the performance gap between NOR and NADN when executing erasing, and statistics shows, right
In given a set of write operation (when especially update small documents), more erasing operations must be in the unit based on NOR
It carries out.
It is ineffective for cabinet air-conditioner on-site supervision in the prior art using the cabinet air-conditioner of the invention based on image measurement
The technical issues of, based on the ranking results of the Y channel value average value to fragment each in image, determine the sharpening to each fragment
Processing strategie, wherein the different sharpening dynamics of each fragment are also determined based on the fuzziness dynamics table of comparisons；Contrast is enhanced
Image afterwards carries out high-precision image simplification processing, to obtain image to be analyzed, examines convenient for subsequent image recognition and image
It surveys；The dust measuring instrument of customization is used physically to detect dust with the relative attenuation rate of the collimated monochromatic ligth based on detection common sense
The presence of particle on this basis confirms dust granule using the mode of image analysis, and uses ultrasonic dedusting mould
Formula carries out the orientation removal of dust granule；On the basis of above-mentioned high Precision Processing, effective cigarette is introduced for existing hardware platform
Mist testing mechanism, 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 (8)
1. a kind of cabinet air-conditioner based on image measurement, the cabinet air-conditioner include:
Ac motor is arranged in the cabinet body of air-conditioning, for providing power for the operation of air-conditioning；
Electrical structure is arranged in the cabinet body of air-conditioning, including temperature controller, relay, capacitor and heater；
Dust measuring instrument, including emission control switch, parallel optical transmitting set, light intensity detector and dust estimator, the transmitting
Control switch opens the parallel optical transmitting set in operating mode for the dust measuring instrument, is also used to the dust measurement
Instrument closes the parallel optical transmitting set in battery saving mode, and the surface of imaging sensor is arranged in the parallel optical transmitting set,
For sending a branch of collimated monochromatic ligth to the surface of described image sensor, the light intensity detector setting is sensed in described image
The collimated monochromatic ligth is converted to electric signal and the voltage value that obtains is using as virtual voltage for measuring by the surface of device,
The virtual voltage is obtained into relative attenuation rate divided by preset reference voltage, and when the relative attenuation rate is more than limitation,
Issue the exceeded signal of dust；
Image capture device, for carrying out panoramic image data acquisition to environment where air-conditioning, to export panorama acquisition image；
Image analysis equipment connect, for described in receive respectively with the dust measuring instrument and described image acquisition equipment
When the exceeded signal of dust, enter operating mode from battery saving mode, and in the operational mode, to panorama acquisition image execute with
Lower operation: pixel of the brightness value in default dust range of luminance values is adopted as pixel to be processed, and by the panorama
Each pixel to be processed in collection image is fitted to multiple pending areas；
Dust confirms equipment, connect with described image analyzing device, for receiving the multiple pending area, by area and in advance
If the area matched pending area of dust is as dust area, and the quantity of the dust area in panorama acquisition image
When transfiniting, processing trigger signal is issued；
Ultrasonic cleaner is connect with dust confirmation equipment, for receiving when receiving the processing trigger signal
The quantity of dust area in panorama acquisition image from dust confirmation equipment, and based on panorama acquisition figure
The quantity of dust area as in uses the ultrasonic dedusting mode of respective intensities；
Contrast enhances equipment, connect with described image acquisition equipment, for receiving the panorama acquisition image, to the panorama
It acquires image and executes contrast enhancement processing, to obtain contrast enhancing image, and export the contrast enhancing image；
First noise control equipment is connect with contrast enhancing equipment, for receiving the contrast enhancing image, to institute
It states contrast enhancing image and carries out noise type analysis, to obtain in contrast enhancing image various noise types and every
A kind of corresponding maximum amplitude of noise type；
Second noise control equipment is connect with first noise control equipment, for receiving in the contrast enhancing image
Various noise types and the corresponding maximum amplitude of each noise type, the sequence from big to small based on maximum amplitude is to institute
It states various noise types to be ranked up, using serial number, first three three kinds of noise types are exported as three kinds of noise types to be processed；
Weight analysis equipment is connect with second noise control equipment, for receiving three kinds of noise types to be processed, base
Corresponding three weighing factors of described three kinds noise types to be processed are determined in the type weight table of comparisons, and use institute
The correcting process of three weighing factors in order to the initialization binarization threshold progress is stated, after obtaining correcting process
Amendment threshold value, and export the amendmentization threshold value；
Image simplification equipment is connect with the weight analysis equipment, for receiving the amendmentization threshold value, using the amendmentization
Threshold value executes binary conversion treatment to contrast enhancing image, to obtain image to be analyzed, and exports the image to be analyzed；
Nonlinear filtering wave device simplifies equipment with described image and connect, for receiving the image to be analyzed, to described to be analyzed
Image executes nonlinear filtering image, to obtain and export corresponding nonlinear filtering image；
SD storage chip is connect with fragment sequencing equipment and ambiguity resolution equipment respectively, for storing the preset quantity, also
For storing the fuzziness dynamics table of comparisons, wherein the fuzziness dynamics table of comparisons saves the corresponding dynamics of various fuzzinesses,
The fuzziness dynamics table of comparisons is index with fuzziness；
Fragment sequencing equipment is connect with the nonlinear filtering wave device, for receiving the nonlinear filtering image, to described non-
Each fragment of linear filtering image carries out the mean value calculation of Y channel value, average with each Y channel value for obtaining each fragment
Value, wherein the size of each fragment is identical；The fragment sequencing equipment is also used to logical to each Y of each fragment
Road value average value is ranked up, and serial number is come multiple fragments of stem preset quantity and serial number comes tail portion preset quantity
Multiple fragments are exported as each fragment to be processed, will be each except fragment to be processed each in the nonlinear filtering image
Fragment is exported as each background fragment；In the fragment sequencing equipment, to each fragment of the nonlinear filtering image
The mean value calculation of Y channel value is carried out, includes: to obtain each fragment to obtain each Y channel value average value of each fragment
Each pixel Y channel value value, sequence from big to small is carried out to the Y channel value value of each pixel, by serial number
Come Y channel value average value of the Y channel value value of the pixel at center as corresponding fragment；
Ambiguity resolution equipment is connect with the fragment sequencing equipment, for receiving each fragment to be processed and described each
A background fragment, execute following operation for each fragment to be processed: the fuzziness based on the fragment to be processed is to described
Fragment to be processed executes corresponding Edge contrast, to obtain corresponding Edge contrast fragment；
Image reconstruction device is connect with the ambiguity resolution equipment, for receiving multiple Edge contrast fragments, and will be described more
A Edge contrast fragment and each background fragment are combined to obtain fragment combination image, and export the fragment combination
Image；
State verification equipment is connect with described image reconstructing apparatus, for receiving the fragment combination image, obtains the fragment
Brightness value is less than or equal to the pixel of smog luminance threshold as smog picture by the brightness value for combining each pixel in image
Vegetarian refreshments determines the quantity of the smog pixel in the fragment combination image to determine the fragment combination as the first quantity
The quantity of whole pixels in image is as the second quantity, by first quantity divided by the second quantity to obtain proportional numbers
Value issues smog alarm signal when the proportional numerical value transfinites.
2. as described in claim 1 based on the cabinet air-conditioner of image measurement, it is characterised in that:
In the object acquisition equipment, when the proportional numerical value does not transfinite, smog normal signal is issued.
3. as claimed in claim 2 based on the cabinet air-conditioner of image measurement, it is characterised in that:
In the ultrasonic cleaner, the quantity based on the dust area in panorama acquisition image uses respective intensities
Ultrasonic dedusting mode include: dust area in panorama acquisition image quantity it is more, the ultrasonic dedusting of use
The respective intensities of mode are higher.
4. as claimed in claim 3 based on the cabinet air-conditioner of image measurement, it is characterised in that:
In the ambiguity resolution equipment, fuzziness is bigger, and the power of corresponding Edge contrast is executed to the fragment to be processed
Bigger, fuzziness described in the DYNAMIC DISTRIBUTION Range Representation using fragment to be processed is spent, the DYNAMIC DISTRIBUTION range is wider, the mould
Paste degree is smaller.
5. as claimed in claim 4 based on the cabinet air-conditioner of image measurement, it is characterised in that:
The dust measuring instrument is also used to when the relative attenuation rate is less than limitation, issues dust normal signal.
6. as claimed in claim 5 based on the cabinet air-conditioner of image measurement, it is characterised in that:
The transmission power of the parallel optical transmitting set transmitting collimated monochromatic ligth is constant.
7. as claimed in claim 6 based on the cabinet air-conditioner of image measurement, it is characterised in that:
The preset reference voltage is that when a dust being not present in described image sensor, the collimated monochromatic ligth is converted to
Electric signal and the voltage value obtained.
8. as claimed in claim 7 based on the cabinet air-conditioner of image measurement, it is characterised in that:
The type weight table of comparisons is also stored in advance in the weight analysis equipment, and the type weight table of comparisons saves each
A kind of noise type is also used to be stored in advance initialization binarization threshold to the weighing factor of binarization threshold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810827701.0A CN109916062B (en) | 2018-07-25 | 2018-07-25 | Cabinet air conditioner based on image measurement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810827701.0A CN109916062B (en) | 2018-07-25 | 2018-07-25 | Cabinet air conditioner based on image measurement |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109916062A true CN109916062A (en) | 2019-06-21 |
| CN109916062B CN109916062B (en) | 2021-07-30 |
Family
ID=66959615
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810827701.0A Active CN109916062B (en) | 2018-07-25 | 2018-07-25 | Cabinet air conditioner based on image measurement |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109916062B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113375257A (en) * | 2021-04-28 | 2021-09-10 | 吴芳 | Clean site smoke diffusion prevention system and method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2531797B2 (en) * | 1989-08-23 | 1996-09-04 | 株式会社ジャパンエナジー | Environmental monitoring equipment |
| JPH11201892A (en) * | 1998-01-09 | 1999-07-30 | Ricoh Elemex Corp | Air-cleaning machine |
| CN101766939A (en) * | 2008-12-31 | 2010-07-07 | 华为技术有限公司 | Dust removal device, equipment and system |
| CN103453622A (en) * | 2013-08-22 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Air purification device for workshop |
| CN103759399A (en) * | 2014-01-15 | 2014-04-30 | 储亚兰 | Air conditioner dedusting device |
| CN104596051A (en) * | 2015-01-29 | 2015-05-06 | 皓庭(唐山）环境科技有限公司 | Image detection system for filter screen of air purification device |
| CN104990198A (en) * | 2015-05-18 | 2015-10-21 | 广东美的制冷设备有限公司 | Air conditioner, and fire detection-control method and system of air conditioner |
| CN107504639A (en) * | 2017-08-18 | 2017-12-22 | 广东美的制冷设备有限公司 | The control method and device of air conditioner and wherein dust sensor |
-
2018
- 2018-07-25 CN CN201810827701.0A patent/CN109916062B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2531797B2 (en) * | 1989-08-23 | 1996-09-04 | 株式会社ジャパンエナジー | Environmental monitoring equipment |
| JPH11201892A (en) * | 1998-01-09 | 1999-07-30 | Ricoh Elemex Corp | Air-cleaning machine |
| CN101766939A (en) * | 2008-12-31 | 2010-07-07 | 华为技术有限公司 | Dust removal device, equipment and system |
| CN103453622A (en) * | 2013-08-22 | 2013-12-18 | 苏州康华净化系统工程有限公司 | Air purification device for workshop |
| CN103759399A (en) * | 2014-01-15 | 2014-04-30 | 储亚兰 | Air conditioner dedusting device |
| CN104596051A (en) * | 2015-01-29 | 2015-05-06 | 皓庭(唐山）环境科技有限公司 | Image detection system for filter screen of air purification device |
| CN104990198A (en) * | 2015-05-18 | 2015-10-21 | 广东美的制冷设备有限公司 | Air conditioner, and fire detection-control method and system of air conditioner |
| CN107504639A (en) * | 2017-08-18 | 2017-12-22 | 广东美的制冷设备有限公司 | The control method and device of air conditioner and wherein dust sensor |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113375257A (en) * | 2021-04-28 | 2021-09-10 | 吴芳 | Clean site smoke diffusion prevention system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109916062B (en) | 2021-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2012220491A (en) | Determining a number of objects in ir image | |
| CN104138854A (en) | Pseudo dual-energy ray imaging-based ore separation system and method | |
| CN102156088A (en) | Particle analyzing apparatus and particle imaging method | |
| CN207008645U (en) | A kind of fingerprint recognition system based near infrared spectrum | |
| CN111812106B (en) | Method and system for detecting glue overflow of appearance surface of wireless earphone | |
| CN110006104A (en) | Outdoor machine of air-conditioner fuselage cleans platform | |
| CN109603340A (en) | An intelligent electrical automatic dust removal control system and method | |
| CN109916062A (en) | Cabinet air-conditioner based on image measurement | |
| CN209263268U (en) | Intelligent air purifier control system | |
| CN107576634A (en) | The recognition methods of blood cell analyzer and its cell and system | |
| CN110514592A (en) | Smoke detector and its control method | |
| CN107638136A (en) | The method for cleaning and system of a kind of object | |
| CN104214899A (en) | Air direction control method and air direction control system for air conditioner | |
| CN103308593A (en) | Defect intelligent identification detection system for magnetic powder welding flaw detection | |
| CN110296919A (en) | A kind of suspended particulate matter concentration monitoring device based near forward scattering light detection | |
| CN108556795A (en) | A kind of Vehicular intelligent control panel integrated control method and system | |
| CN107202962A (en) | VMC controller is gathered and evaluation method with electric quantity of lithium battery | |
| CN102608010A (en) | Particulate matter (PM) detecting method and equipment | |
| CN106016627B (en) | Air conditioner panel recognition device and method and air conditioner | |
| CN207114374U (en) | A kind of Hydrophobicity of Composite Insulator level images detection image detection device | |
| CN106247551B (en) | A kind of air conditioner power source control system based on multi-point temperature sensing | |
| CN109886630A (en) | A kind of cargo counting method, device, equipment and storage medium | |
| CN212780502U (en) | Near-infrared spectrometer with protection device | |
| CN209802978U (en) | remote real-time online fruit quality monitoring system | |
| CN108627322A (en) | A kind of matrix LED car light on-line detecting system |
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: 20210707 Address after: 343199 room 09, office building, surong Health Industrial Park, 258 Zhanzhan Avenue, Jinggangshan economic and Technological Development Zone, Ji'an City, Jiangxi Province Applicant after: Jiangxi Qiqi Medical Instrument Co.,Ltd. Address before: 321300 No. 126, Tianfan central, Shangshui Dui village, Jiangnan street, Yongkang City, Jinhua City, Zhejiang Province Applicant before: YONGKANG YIZAO TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |