CN109919848A - Fire-extinguishing apparatus self-monitoring cabinet - Google Patents
Fire-extinguishing apparatus self-monitoring cabinet Download PDFInfo
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- CN109919848A CN109919848A CN201810836187.7A CN201810836187A CN109919848A CN 109919848 A CN109919848 A CN 109919848A CN 201810836187 A CN201810836187 A CN 201810836187A CN 109919848 A CN109919848 A CN 109919848A
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Abstract
The present invention relates to a kind of fire-extinguishing apparatus self-monitoring cabinets, comprising: pressure sensing devices are arranged in below the table top of cabinet, the site pressure below table top for incuding the cabinet, to export as table top site pressure;Fire extinguisher detection device, it is connect with subgraph replacement equipment, enhance replacement image for receiving, corresponding fire extinguisher subgraph is searched out from enhancing replacement image based on fire extinguisher characteristics of image, multiple fire extinguisher pixels in the fire extinguisher subgraph are identified based on default fire extinguisher upper limit threshold and default fire extinguisher lower threshold, by multiple fire extinguisher Pixel fits at fire extinguisher region, determine that the fire extinguisher region occupies the area percentage of the fire extinguisher subgraph, when the area percentage transfinites, issues fire extinguisher and detect signal.Through the invention, the fire-fighting prevention ability of cabinet is improved.
Description
Technical field
The present invention relates to domestic installations field more particularly to a kind of fire-extinguishing apparatus self-monitoring cabinets.
Background technique
Cabinet is made of fire-proof plate, and fire-proof plate is the usus loquendi of people, but it may not be it is genuine not inflammable, only
With certain fire resistance.Fire-proof plate is to do veneer with fire-proof plate, and particieboard does substrate (also useful density board), by cupboard
Cabinet factory is made after overlaying.It is compared with Melamine Board, fire-proof plate processing is more troublesome.Many finishing teams, cabinet factory, do not have
Have special machine platens, just with some indigenous method pressing plates, quality it is difficult to ensure that.Fire-proof plate veneer is three layers, and melamine
The veneer of plate only has one layer, so, the performances such as the wear-resisting, scratch-resistant of general fire-proof plate, high temperature resistant are better than Melamine Board.Fire prevention
Plate is bright in colour, gives the feeling taken on an entirely new look.But easily by water and moist erosion, improper use will lead to fire-proof plate table top
The consequences such as degumming, deformation, substrate expansion.
Summary of the invention
In order to solve the technical issues of cabinet fire fighting device deletion condition is difficult to self-test in the prior art, the present invention provides
A kind of fire-extinguishing apparatus self-monitoring cabinet, the comparison of the partial variance of the gray value based on each subgraph identify a need for figure
Multiple subgraphs of image intensifying processing, and enhanced multiple subgraphs are substituted into original image;It is set in white balance processing
On the basis of the processing of standby and Morphological scale-space equipment, the orientation to the foreground image of image to be processed, targetedly is realized
It extracts, provides more valuable data to be analyzed for the identification and detection of subsequent image;Image based on imaging sensor output
Overall brightness and described image sensor around light quantity determine the flash of light strategy of flash lamp, meanwhile, be also based on front and back image
The analysis of content, judges whether imaging sensor needs to carry out reverse movement corresponding with picture material, so as to cabinet
Fire extinguisher deletion condition is accurately detected.
According to an aspect of the present invention, a kind of fire-extinguishing apparatus self-monitoring cabinet is provided, the cabinet includes:
Pressure sensing devices are arranged in below the table top of cabinet, the scene pressure below the table top for incuding the cabinet
Power, to be exported as table top site pressure.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet, further includes:
Spherical camera, including flash lamp, light quantity measuring instrument and ccd sensor, the ccd sensor are used for in cabinet
Portion is shot, and to export cabinet interior image, the light quantity measuring instrument is for measuring and exporting the ccd sensor ambient light
Amount, the flash lamp is connect with the light quantity measuring instrument and the ccd sensor, for what is exported based on the ccd sensor
Light quantity determines its flash of light strategy around the overall brightness of cabinet interior image and the ccd sensor.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet, further includes:
White balance processing equipment is connect with the ccd sensor, for receiving the cabinet interior image, to the cupboard
Cabinet internal image executes white balance processing, to obtain and export corresponding white balance image;Morphological scale-space equipment, including expansion
Sub- equipment and the sub- equipment of corrosion treatment are handled, the sub- equipment of expansion process is connect with the white balance processing equipment, for connecing
The white balance image is received, and expansion process is executed to the white balance image, it is described to obtain corresponding expansion process image
The sub- equipment of corrosion treatment is connect with the sub- equipment of the expansion process, for receiving the expansion process image, and to the expansion
It handles image and executes corrosion treatment, to obtain corresponding corrosion treatment image;Pixel Data-Statistics equipment, with the Morphological scale-space
Equipment connection, for receiving the corrosion treatment image, obtains each brightness of each pixel of the corrosion treatment image
Value executes mean square deviation to each brightness value and calculates, exports the numerical value of the mean square deviation of acquisition as reference data;Fragment mentions
Equipment is taken, is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and the reference data, is based on institute
It states reference data and uniform formula segmentation is carried out to the corrosion treatment image, to obtain multiple segmentation fragments, wherein the reference number
According to bigger, the quantity for carrying out the segmentation fragment that uniform formula segmentation obtains to the corrosion treatment image is more;Noise analysis equipment,
It is connect with the fragment extract equipment, for receiving the multiple segmentation fragment, divides fragment for each, detection is described to divide
Cut first five five kinds of noise types of amplitude ranking in fragment, determined based on the corresponding amplitude of five kinds of noise types described in
Divide the signal-to-noise ratio of fragment, and determines the threshold for carrying out background segment to the segmentation fragment based on the signal-to-noise ratio of the segmentation fragment
It is worth size;Foreground extraction equipment is connect with the noise analysis equipment, for dividing fragment for each, based on determining
Threshold value executes background segment processing to the segmentation fragment to obtain corresponding prospect fragment, and divides each of fragment for each
Prospect fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image;Edge enhances equipment, with institute
The connection of foreground extraction equipment is stated, is executed for receiving the foreground detection image, and to the foreground detection image based on described
The edge enhancing of the respective strengths of the signal-to-noise ratio size of foreground detection image is handled, to obtain corresponding adaptive enhancing image,
And export the adaptive enhancing image;Partial variance identifies equipment, connect with edge enhancing equipment, for receive it is described oneself
Enhancing image is adapted to, the partial variance for executing gray value respectively to each subgraph of the adaptive enhancing image detects, to obtain
Obtain the corresponding each partial variance of each subgraph, wherein hold respectively to each subgraph of the adaptive enhancing image
The partial variance detection of row gray value includes: the gray value that each pixel of the subgraph is extracted for each subgraph,
The gray value of each pixel based on the subgraph calculates the partial variance of the subgraph;Subgraph identification apparatus, with institute
Partial variance identification equipment connection is stated, for receiving each partial variance of each subgraph, calculates each folk prescription of each subgraph
Poor mean value, the subgraph using the distance of partial variance to the mean value more than limitation is as identified sub-images, and output is described certainly
Adapt to each identified sub-images in enhancing image;Subgraph processing equipment is connect, for connecing with the subgraph identification apparatus
Each identified sub-images are received, the image enhancement processing based on its signal-to-noise ratio is executed to each identified sub-images, to obtain
Corresponding enhancing subgraph, wherein the signal-to-noise ratio of identified sub-images is smaller, and the amplitude of the image enhancement processing executed to it is got over
Greatly, the subgraph processing equipment exports multiple enhancing subgraphs;Subgraph replacement equipment is set with subgraph identification respectively
It is standby to be connected with the subgraph processing equipment, for receiving the multiple enhancing subgraph, and by the adaptive enhancing image
It is middle to delete each identified sub-images, and each enhancing subgraph is correspondingly filled into, to obtain corresponding enhancing replacement image;Fire extinguishing
Device detection device is connect with the subgraph replacement equipment, special based on fire extinguisher image for receiving the enhancing replacement image
Sign searches out corresponding fire extinguisher subgraph from enhancing replacement image, is gone out based on default fire extinguisher upper limit threshold with default
Firearm lower threshold identifies multiple fire extinguisher pixels in the fire extinguisher subgraph, by multiple fire extinguisher Pixel fits at going out
Firearm region determines that the fire extinguisher region occupies the area percentage of the fire extinguisher subgraph, when the area percentage
When transfiniting, issues fire extinguisher and detect signal.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet: in the fire extinguisher detection device, when the area
When percentage does not transfinite, issues fire extinguisher and do not detect signal.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet: in first processing equipment, when there is no shake
When lines, first processing equipment does not export any image.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet, further includes:
First processing equipment is connect with the ccd sensor, for receiving cabinet interior image, to the cabinet interior
Image executes picture material measurement, to determine whether occur shaking lines in cabinet interior image, and when there are shaking lines,
Using the cabinet interior image as the first image to be processed output, by nearest apart from the cabinet interior image, the described CCD
The cabinet interior image of sensor output is as the second image output to be processed.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet, further includes:
Second processing equipment is connect with first processing equipment, for receiving the described first image to be processed and described
Second image to be processed is compared based on the described first image to be processed and the whole of second image to be processed, described in determination
Displacement vector of first image to be processed relative to the described second image to be processed, to be exported as current displacement vector;Institute
It states in second processing equipment, is compared based on the described first image to be processed and the whole of second image to be processed, determine institute
It includes: to obtain first image to be processed that the first image to be processed, which is stated, relative to the displacement vector of the described second image to be processed
Each pixel each Y signal component value and second image to be processed each Y signal component value, based on described first wait locate
The each Y signal component value of each pixel and each Y signal component value of second image to be processed for managing image determine described the
Displacement vector of one image to be processed relative to the described second image to be processed.
More specifically, in the fire-extinguishing apparatus self-monitoring cabinet, further includes:
Mobile corrective, connect with ccd sensor and the second processing equipment respectively, for being sweared based on the displacement
Amount drives the ccd sensor to carry out reverse movement corresponding with institute's displacement vector.
Specific embodiment
The embodiment of fire-extinguishing apparatus self-monitoring cabinet of the invention will be described in detail below.
Cabinet is the facility that must cannot lack of each family, and the cooking room of every household is in equipment aspect also altogether
Same place.Storage equipment be exactly it is indispensable in cooking room, storage equipment is divided into food storage and implements articles storage two is big
Part.Food storage is divided into refrigeration and non-cold storage again, and refrigeration is by realizations such as refrigerator, refrigerators in kitchen.Device
Object articles storage is that the space of storage is provided for tableware, cooker, vessel etc., such as base cabinet, hanging cupboard, corner cabinet, multifunction decorative cabinet.
It requires to clean various dish in cooking room daily, so washing implement is indispensable, washing implement packet
The face contained is very wide, mainly contains supply system, drainage equipment, basin, washing cabinet of hot and cold water etc., grasps after washing in kitchen
Dustbin or sanitary bucket etc. should be arranged in the rubbish generated in work, and Modern Family kitchen should also be equipped with disinfection cabinet, food garbage crushes
The equipment such as device.
In order to cook palatable dish, we need to use various conditioning tools.It mainly contains the platform cut the dish
Face, kitchen knife, ingredient, the tool of modulation and vessel etc..With the development of science and technology family kitchen food processor has, squeezes
Juice equipment, modulation equipment etc. are also being continuously increased, everybody can configure according to the demand of culinary art.
After food cooking is good, everybody needs to be contained with various containers, is eaten with facilitating everybody.Dining equipment is in fact
It is tableware, it includes the vessel such as bowl, cup, knife, fork when having meal.This is bright-colored above, the generous dining set of style
Even more meet the aesthetic conceptions of the existing big family consumer group, applique production technology on glaze, glaze light lubrication is not fallen off.
Above is exactly to have the related of which to share about collagen peptide oral liquid, in conclusion if you want to possess a function
If kitchen that can be complete, that has just needed to configure storage equipment, washing facility, conditioning device, cooking equipment and dining and has set
The equipment such as standby.
In order to overcome above-mentioned deficiency, the present invention has built a kind of fire-extinguishing apparatus self-monitoring cabinet, can effectively solve the problem that corresponding
The technical issues of.
The fire-extinguishing apparatus self-monitoring cabinet shown according to an embodiment of the present invention includes:
Pressure sensing devices are arranged in below the table top of cabinet, the scene pressure below the table top for incuding the cabinet
Power, to be exported as table top site pressure.
Then, continue that the specific structure of fire-extinguishing apparatus self-monitoring cabinet of the invention is further detailed.
In the fire-extinguishing apparatus self-monitoring cabinet, further includes:
Spherical camera, including flash lamp, light quantity measuring instrument and ccd sensor, the ccd sensor are used for in cabinet
Portion is shot, and to export cabinet interior image, the light quantity measuring instrument is for measuring and exporting the ccd sensor ambient light
Amount, the flash lamp is connect with the light quantity measuring instrument and the ccd sensor, for what is exported based on the ccd sensor
Light quantity determines its flash of light strategy around the overall brightness of cabinet interior image and the ccd sensor.
In the fire-extinguishing apparatus self-monitoring cabinet, further includes:
White balance processing equipment is connect with the ccd sensor, for receiving the cabinet interior image, to the cupboard
Cabinet internal image executes white balance processing, to obtain and export corresponding white balance image;
Morphological scale-space equipment, including the sub- equipment of expansion process and the sub- equipment of corrosion treatment, the sub- equipment of expansion process
It connect with the white balance processing equipment, is executed at expansion for receiving the white balance image, and to the white balance image
Reason, to obtain corresponding expansion process image, the sub- equipment of corrosion treatment is connect with the sub- equipment of the expansion process, for connecing
The expansion process image is received, and corrosion treatment is executed to the expansion process image, to obtain corresponding corrosion treatment image;
Pixel Data-Statistics equipment is connect with the Morphological scale-space equipment, for receiving the corrosion treatment image, is obtained
Each brightness value of each pixel of the corrosion treatment image executes mean square deviation to each brightness value and calculates, will obtain
The numerical value of the mean square deviation obtained is exported as reference data;
Fragment extract equipment is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and described
Reference data carries out uniform formula segmentation to the corrosion treatment image based on the reference data, to obtain multiple segmentation fragments,
Wherein, the reference data is bigger, and the quantity for carrying out the segmentation fragment that uniform formula segmentation obtains to the corrosion treatment image is got over
It is more;
Noise analysis equipment is connect with the fragment extract equipment, for receiving the multiple segmentation fragment, for each
A segmentation fragment detects first five five kinds of noise types of amplitude ranking in the segmentation fragment, is based on five kinds of noise types
Corresponding amplitude determines the signal-to-noise ratio of the segmentation fragment, and is determined based on the signal-to-noise ratio of the segmentation fragment to described point
Cut the threshold size that fragment carries out background segment;
Foreground extraction equipment is connect with the noise analysis equipment, for dividing fragment for each, based on determining
Threshold value executes background segment processing to the segmentation fragment to obtain corresponding prospect fragment, and divides each of fragment for each
Prospect fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image;
Edge enhances equipment, connect with the foreground extraction equipment, for receiving the foreground detection image, and to described
Foreground detection image executes the edge enhancing processing of the respective strengths of the signal-to-noise ratio size based on the foreground detection image, to obtain
Obtain adaptively enhances image accordingly, and exports the adaptive enhancing image;
Partial variance identifies equipment, connect with edge enhancing equipment, for receiving the adaptive enhancing image, to institute
The each subgraph for stating adaptive enhancing image executes the partial variance detection of gray value respectively, right respectively to obtain each subgraph
The each partial variance answered, wherein the partial variance for executing gray value respectively to each subgraph of the adaptive enhancing image is examined
Survey includes: the gray value that each pixel of the subgraph is extracted for each subgraph, based on each of the subgraph
The gray value of a pixel calculates the partial variance of the subgraph;
Subgraph identification apparatus is connect, for receiving each folk prescription of each subgraph with partial variance identification equipment
Difference calculates the mean value of each partial variance of each subgraph, is more than the subgraph of limitation by the distance of partial variance to the mean value
As identified sub-images, and export each identified sub-images in the adaptive enhancing image;
Subgraph processing equipment is connect with the subgraph identification apparatus, right for receiving each identified sub-images
Each identified sub-images executes the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing subgraph, wherein knows
The signal-to-noise ratio of small pin for the case image is smaller, and the amplitude of the image enhancement processing executed to it is bigger, the subgraph processing equipment output
Multiple enhancing subgraphs;
Subgraph replacement equipment connect with the subgraph identification apparatus and the subgraph processing equipment respectively, is used for
The multiple enhancing subgraph is received, and each identified sub-images will be deleted in the adaptive enhancing image, and correspondingly mend
Enter each enhancing subgraph, to obtain corresponding enhancing replacement image;
Fire extinguisher detection device is connect with the subgraph replacement equipment, for receiving the enhancing replacement image, is based on
Fire extinguisher characteristics of image searches out corresponding fire extinguisher subgraph from enhancing replacement image, based on the default fire extinguisher upper limit
Threshold value and default fire extinguisher lower threshold identify multiple fire extinguisher pixels in the fire extinguisher subgraph, by multiple fire extinguishers
Pixel fit determines that the fire extinguisher region occupies the area percentage of the fire extinguisher subgraph, works as institute at fire extinguisher region
When stating area percentage transfinites, issues fire extinguisher and detect signal.
In the fire-extinguishing apparatus self-monitoring cabinet: in the fire extinguisher detection device, when the area percentage not
When transfiniting, issues fire extinguisher and do not detect signal.
In the fire-extinguishing apparatus self-monitoring cabinet: in first processing equipment, when there is no lines are shaken, institute
It states the first processing equipment and does not export any image.
In the fire-extinguishing apparatus self-monitoring cabinet, further includes:
First processing equipment is connect with the ccd sensor, for receiving cabinet interior image, to the cabinet interior
Image executes picture material measurement, to determine whether occur shaking lines in cabinet interior image, and when there are shaking lines,
Using the cabinet interior image as the first image to be processed output, by nearest apart from the cabinet interior image, the described CCD
The cabinet interior image of sensor output is as the second image output to be processed.
In the fire-extinguishing apparatus self-monitoring cabinet, further includes:
Second processing equipment is connect with first processing equipment, for receiving the described first image to be processed and described
Second image to be processed is compared based on the described first image to be processed and the whole of second image to be processed, described in determination
Displacement vector of first image to be processed relative to the described second image to be processed, to be exported as current displacement vector;Institute
It states in second processing equipment, is compared based on the described first image to be processed and the whole of second image to be processed, determine institute
It includes: to obtain first image to be processed that the first image to be processed, which is stated, relative to the displacement vector of the described second image to be processed
Each pixel each Y signal component value and second image to be processed each Y signal component value, based on described first wait locate
The each Y signal component value of each pixel and each Y signal component value of second image to be processed for managing image determine described the
Displacement vector of one image to be processed relative to the described second image to be processed.
And in the fire-extinguishing apparatus self-monitoring cabinet, further includes: mobile corrective, respectively with ccd sensor and
The second processing equipment connection, for driving the ccd sensor to carry out and institute's displacement vector based on institute's displacement vector
Corresponding reverse movement.
In addition, in the fire-extinguishing apparatus self-monitoring cabinet, further includes: PSTN communication interface is detected with the fire extinguisher
Equipment connection, for forwarding the fire extinguisher detection signal.
Wherein, the network access mode of PSTN is easier flexibly, usually has following several:
(1) it is networked by common dial-up telephone line.As long as on the original telephone wire of communicating pair and meeting Modem, then will
Modem is connected with corresponding equipment for surfing the net.Most of equipments for surfing the net in 2013, such as PC or router, if being provided with
Dry serial port, using serial line interfaces specifications such as RS-232 between serial port and Modem.The expense of this connection type compares
Economy, paying price is identical as the charge of plain old telephone, is applicable to the less frequent occasion of communication.
(2) pass through leased telephone Access via private lines.Compared with common dial-up telephone line mode, leased telephone special line can be provided
Higher traffic rate and data transmission quality, but corresponding expense is also high compared with former mode.Use the access way of special line
But the process of dial-up connection is omitted without too big difference with the access way of common dial line is used.In general, when determining
When using private-line mode, user must file an application to the telecommunication bureau in location, by telecommunication bureau be responsible for set up and it is open-minded.
(3) through commonly dialled or rented special telephone line mode by PSTN transfer into common data switching network (X.25 or
Frame-Relay etc.) network access mode.Realize that with connection far be a kind of preferable remote mode using which, because
Common data switching network provides reliable connection-oriented virtual circuit services for user, and reliability and transmission rate all compare PSTN
It is much better than.
It, can not be certainly for cabinet fire extinguisher deletion condition in the prior art using fire-extinguishing apparatus self-monitoring cabinet of the invention
The technical issues of inspection, the comparison of the partial variance of the gray value based on each subgraph identify a need for image enhancement processing
Multiple subgraphs, and enhanced multiple subgraphs are substituted into original image;In white balance processing equipment and morphology
On the basis of the processing of processing equipment, the orientation to the foreground image of image to be processed realized, targetedly extracted, be subsequent
The identification and detection of image provide more valuable data to be analyzed;Based on imaging sensor output image overall brightness with
And light quantity determines the flash of light strategy of flash lamp around described image sensor, meanwhile, the also analysis based on front and back picture material is sentenced
Whether disconnected imaging sensor needs to carry out reverse movement corresponding with picture material, can carry out to cabinet fire extinguisher deletion condition
Accurate detection, 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 fire-extinguishing apparatus self-monitoring cabinet, which is characterized in that the cabinet includes:
Pressure sensing devices are arranged in below the table top of cabinet, the site pressure below table top for incuding the cabinet, with
It is exported as table top site pressure.
2. fire-extinguishing apparatus self-monitoring cabinet as described in claim 1, which is characterized in that the cabinet further include:
Spherical camera, including flash lamp, light quantity measuring instrument and ccd sensor, the ccd sensor be used for cabinet interior into
Row shooting, to export cabinet interior image, the light quantity measuring instrument is used to measuring and exporting light quantity around the ccd sensor,
The flash lamp is connect with the light quantity measuring instrument and the ccd sensor, the cabinet for being exported based on the ccd sensor
Light quantity determines its flash of light strategy around the overall brightness of internal image and the ccd sensor.
3. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 2, which is characterized in that the cabinet further include:
White balance processing equipment is connect with the ccd sensor, for receiving the cabinet interior image, in the cabinet
Portion's image executes white balance processing, to obtain and export corresponding white balance image;
Morphological scale-space equipment, including the sub- equipment of expansion process and the sub- equipment of corrosion treatment, the sub- equipment of the expansion process and institute
The connection of white balance processing equipment is stated, executes expansion process for receiving the white balance image, and to the white balance image, with
Corresponding expansion process image is obtained, the sub- equipment of corrosion treatment is connect with the sub- equipment of the expansion process, for receiving
Expansion process image is stated, and corrosion treatment is executed to the expansion process image, to obtain corresponding corrosion treatment image;
Pixel Data-Statistics equipment is connect with the Morphological scale-space equipment, for receiving the corrosion treatment image, described in acquisition
Each brightness value of each pixel of corrosion treatment image executes mean square deviation to each brightness value and calculates, by acquisition
The numerical value of mean square deviation is exported as reference data;
Fragment extract equipment is connect with the pixel Data-Statistics equipment, for receiving the corrosion treatment image and the reference
Data carry out uniform formula segmentation to the corrosion treatment image based on the reference data, to obtain multiple segmentation fragments,
In, the reference data is bigger, and the quantity for carrying out the segmentation fragment that uniform formula segmentation obtains to the corrosion treatment image is more;
Noise analysis equipment is connect with the fragment extract equipment, for receiving the multiple segmentation fragment, for each point
It cuts fragment, detects first five five kinds of noise types of amplitude ranking in the segmentation fragment, distinguished based on five kinds of noise types
Corresponding amplitude determines the signal-to-noise ratio of the segmentation fragment, and determining broken to the segmentation based on the signal-to-noise ratio of the segmentation fragment
The threshold size of piece progress background segment;
Foreground extraction equipment is connect with the noise analysis equipment, for dividing fragment for each, based on determining threshold value
Background segment processing is executed to obtain corresponding prospect fragment to the segmentation fragment, and by each prospect of each segmentation fragment
Fragment is fitted, and to obtain foreground detection image, and exports the foreground detection image;
Edge enhances equipment, connect with the foreground extraction equipment, for receiving the foreground detection image, and to the prospect
Detection image executes the edge enhancing processing of the respective strengths of the signal-to-noise ratio size based on the foreground detection image, to obtain phase
The adaptive enhancing image answered, and export the adaptive enhancing image;
Partial variance identify equipment, with the edge enhancing equipment connect, for receiving the adaptive enhancing image, to it is described oneself
The each subgraph for adapting to enhancing image executes the partial variance detection of gray value respectively, corresponding to obtain each subgraph
Each partial variance, wherein execute the partial variance detection packet of gray value respectively to each subgraph of the adaptive enhancing image
It includes: for each subgraph, extracting the gray value of each pixel of the subgraph, each picture based on the subgraph
The gray value of vegetarian refreshments calculates the partial variance of the subgraph;
Subgraph identification apparatus is connect with partial variance identification equipment, for receiving each partial variance of each subgraph, is counted
The distance of partial variance to the mean value is more than the subgraph of limitation as knowledge by the mean value for calculating each partial variance of each subgraph
Small pin for the case image, and export each identified sub-images in the adaptive enhancing image;
Subgraph processing equipment is connect with the subgraph identification apparatus, for receiving each identified sub-images, to each
A identified sub-images execute the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing subgraph, wherein identification
The signal-to-noise ratio of image is smaller, and the amplitude of the image enhancement processing executed to it is bigger, and the subgraph processing equipment output is multiple
Enhance subgraph;
Subgraph replacement equipment is connect, for receiving respectively with the subgraph identification apparatus and the subgraph processing equipment
The multiple enhancing subgraph, and each identified sub-images will be deleted in the adaptive enhancing image, and correspondingly fill into each
A enhancing subgraph, to obtain corresponding enhancing replacement image;
Fire extinguisher detection device is connect with the subgraph replacement equipment, for receiving the enhancing replacement image, based on fire extinguishing
Device characteristics of image searches out corresponding fire extinguisher subgraph from enhancing replacement image, based on default fire extinguisher upper limit threshold
Multiple fire extinguisher pixels in the fire extinguisher subgraph are identified with default fire extinguisher lower threshold, by multiple fire extinguisher pixels
It is fitted to fire extinguisher region, determines that the fire extinguisher region occupies the area percentage of the fire extinguisher subgraph, when the face
When product percentage transfinites, issues fire extinguisher and detect signal.
4. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 3, it is characterised in that:
In the fire extinguisher detection device, when the area percentage does not transfinite, issues fire extinguisher and do not detect signal.
5. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 4, it is characterised in that:
In first processing equipment, when there is no lines are shaken, first processing equipment does not export any image.
6. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 5, which is characterized in that the cabinet further include:
First processing equipment is connect with the ccd sensor, for receiving cabinet interior image, to the cabinet interior image
Picture material measurement is executed, to determine whether occur shaking lines in cabinet interior image, and when there are shaking lines, by institute
Cabinet interior image is stated as the first image to be processed output, nearest apart from the cabinet interior image, the described CCD is sensed
The cabinet interior image of device output is as the second image output to be processed.
7. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 6, which is characterized in that the cabinet further include:
Second processing equipment is connect with first processing equipment, for receiving the described first image to be processed and described second
Image to be processed is compared based on the described first image to be processed and the whole of second image to be processed, determines described first
Displacement vector of the image to be processed relative to the described second image to be processed, to be exported as current displacement vector;Described
In two processing equipments, based on the described first image to be processed and second image to be processed it is whole relatively, determine described the
One image to be processed includes: each of acquisition first image to be processed relative to the displacement vector of the described second image to be processed
Each Y signal component value of each Y signal component value of a pixel and second image to be processed is based on the described first figure to be processed
Each Y signal component value of each Y signal component value of each pixel of picture and second image to be processed determine described first to
Handle displacement vector of the image relative to the described second image to be processed.
8. fire-extinguishing apparatus self-monitoring cabinet as claimed in claim 7, which is characterized in that the cabinet further include:
Mobile corrective, connect with ccd sensor and the second processing equipment respectively, for being based on institute's displacement vector band
It moves the ccd sensor and carries out reverse movement corresponding with institute's displacement vector.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201810836187.7A CN109919848B (en) | 2018-07-26 | 2018-07-26 | Self-checking cabinet of fire extinguishing equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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CN201810836187.7A CN109919848B (en) | 2018-07-26 | 2018-07-26 | Self-checking cabinet of fire extinguishing equipment |
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