CN110173752B - Intelligent humidifying type warmer - Google Patents
Intelligent humidifying type warmer Download PDFInfo
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- CN110173752B CN110173752B CN201810631495.6A CN201810631495A CN110173752B CN 110173752 B CN110173752 B CN 110173752B CN 201810631495 A CN201810631495 A CN 201810631495A CN 110173752 B CN110173752 B CN 110173752B
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- 238000001514 detection method Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 238000001914 filtration Methods 0.000 claims description 27
- 238000000605 extraction Methods 0.000 claims description 21
- 238000003707 image sharpening Methods 0.000 claims description 9
- 238000000638 solvent extraction Methods 0.000 claims description 6
- 239000013307 optical fiber Substances 0.000 description 10
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005253 cladding Methods 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 239000011241 protective layer Substances 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/008—Details related to central heating radiators
- F24D19/0082—Humidifiers for radiators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D13/00—Electric heating systems
- F24D13/02—Electric heating systems solely using resistance heating, e.g. underfloor heating
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Thermal Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
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- Mathematical Physics (AREA)
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Abstract
The invention relates to an intelligent humidifying warmer, comprising: the humidity detection equipment is arranged on the side wall of the warmer and used for obtaining the humidity of the position; the intelligent humidifier is used for stopping the humidifying operation when the humidity of the position is larger than or equal to a preset humidity threshold value; the object identification device is used for identifying a corresponding liquefied bottle image from the combined image based on a preset liquefied bottle gray threshold, carrying out background analysis on the liquefied bottle image to obtain a background sub-image with a size corresponding to the liquefied bottle image, subtracting the background sub-image from the liquefied bottle image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a liquefied bottle existence signal when the number of the non-zero pixels is greater than or equal to a preset pixel number threshold; the intelligent humidifier is also used for improving the humidifying operation strength when receiving the signal of the existence of the liquefaction bottle. By the invention, the on-site operation reliability of the warmer can be improved.
Description
Technical Field
The invention relates to the field of material instruments, in particular to an intelligent humidifying type warmer.
Background
The proper heater is selected according to the actual situation of a room, the capacity of a household electric meter is generally 3-10 amperes, and the heater with the power below 2000W is preferably selected to avoid power outage due to overlarge power, and if a single-storey house or a house with poor heat preservation effect is located, the heating power can be properly improved. If the house is already heated, the user feels that the house is not too warm, and the purchase of 1500W or even 1000W of electric heater is enough although the area of the house is more than 20 square meters.
Disclosure of Invention
In order to solve the technical problem that the existing warmer cannot implement field safety protection, the invention provides an intelligent humidifying warmer, which improves the humidifying operation strength, reduces the explosion probability and effectively maintains the field safety when determining that a liquefied bottle explosive product exists by carrying out target identification on the periphery of the warmer, wherein each position of an image is differentially processed, and the differentially processed results are combined to reconstruct the image which is clearer than the original image; on the basis of roughly detecting the target contour of the image, acquiring a region division strategy of the image, and on the basis, acquiring the target image with the background stripped with high precision; and determining whether the output image of the visible light camera is changed in position due to dislocation of the visible light camera by adopting a background matching mode, and particularly, arranging a self-adjusting unit in the visible light camera to automatically recover the position according to the position change condition.
According to an aspect of the present invention, there is provided an intelligent humidified warmer, the system comprising:
the humidity detection equipment is arranged on the side wall of the warmer and used for detecting the humidity of the position where the warmer is located so as to obtain and output the humidity of the position where the warmer is located; the intelligent humidifier is arranged above the top of the warmer, connected with the humidity detection equipment, and used for receiving the humidity of the position and stopping the humidification operation when the humidity of the position is greater than or equal to a preset humidity threshold value; the visible light camera is arranged on the side wall of the warmer and used for shooting visible light of a scene where the warmer is located so as to obtain and output a corresponding visible light image; the infrared measuring instrument comprises an infrared transmitting unit, an infrared receiving unit and a microcontroller, wherein the infrared transmitting unit is positioned on the visible light camera and used for vertically and downwardly transmitting infrared signals, the infrared receiving unit is positioned beside the infrared transmitting unit and used for receiving the reflected infrared signals, and the microcontroller is respectively connected with the infrared transmitting unit and the infrared receiving unit and used for determining the real-time vertical position of the visible light camera based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit; the triggering starting device is connected with the infrared measuring instrument and used for sending a starting control signal when the real-time vertical position deviates from a preset vertical position and exceeds the limit, and also used for sending a closing control signal when the real-time vertical position deviates from the preset vertical position and does not exceed the limit; the pixel value matching device is respectively connected with the trigger starting device and the visible light camera, and is used for performing background extraction on the visible light image to obtain a real-time background image when the starting control signal is received, matching the real-time background image with a preset background image, sending a matching failure signal when the matching degree is smaller than a preset percentage threshold value, and sending a matching success signal when the matching degree is larger than or equal to the preset percentage threshold value; the area processing device is connected with the visible light camera and used for receiving the visible light image and extracting the outline of each target in the visible light image to obtain each distribution area of each target in the visible light image, and the area processing device is also used for partitioning the visible light image to obtain each sub-image; in the region processing apparatus, for the visible light image, a size of the sub-image obtained by uniformly dividing each distribution region is smaller than a size of the sub-image obtained by uniformly dividing the non-distribution region, and uniformly dividing each distribution region includes: the larger the area of the distribution region is, the larger the size of the sub-image obtained by division is; the target image extraction device is connected with the area processing device and used for receiving the sub-images of the visible light image, detecting the dynamic range of each sub-image, adjusting the threshold size of the corresponding sub-image for background stripping based on the width size of the dynamic range of each sub-image, and executing the following processing for each sub-image: carrying out background stripping on the subimages by adopting the adjusted threshold value to obtain a corresponding target area; the target image extraction equipment is also used for integrating each target area corresponding to each sub-image to obtain a target image and outputting the target image; in the target image extraction device, adjusting the threshold size for background stripping of the corresponding sub-image based on the width size of its dynamic range includes: the narrower the width of the dynamic range is, the smaller the adjusted threshold value for background stripping of the corresponding sub-image is; the Gaussian filtering device is connected with the target image extraction device and is used for receiving the target image and executing corresponding times of Gaussian filtering processing in proportion to the noise amplitude of the target image on the target image to obtain a corresponding self-adaptive filtering image; the image distinguishing device is connected with the Gaussian filtering device and used for receiving the self-adaptive filtering image, performing uniform partitioning on the self-adaptive filtering image to obtain each partitioned sub-image, performing detection processing on whether an edge line exists or not on each partitioned sub-image to take the partitioned sub-image with the edge line as a reference sub-image, taking the partitioned sub-image without the edge line as a non-reference sub-image, taking a plurality of sub-images in each reference sub-image field as a plurality of secondary sub-images, outputting each secondary sub-image in the self-adaptive filtering image and outputting each reference sub-image in the self-adaptive filtering image; the hierarchical processing device is connected with the image distinguishing device and is used for receiving each reference sub-image and each secondary sub-image in the self-adaptive filtering image, performing image sharpening processing of primary sharpening strength on each reference sub-image to obtain each reference sharpened sub-image, performing image sharpening processing of secondary sharpening strength on each secondary sub-image to obtain each secondary sharpened sub-image, and combining the reference sharpened sub-images, the secondary sharpened sub-images and non-reference sub-images of the non-secondary sharpened sub-images to obtain a combined image; the object identification device is connected with the grading processing device and used for receiving the combined image, identifying a corresponding liquefied bottle image from the combined image based on a preset liquefied bottle gray threshold, performing background analysis on the liquefied bottle image to obtain a background sub-image with a size corresponding to the liquefied bottle image, subtracting the background sub-image from the liquefied bottle image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a liquefied bottle existence signal when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold, or sending a liquefied bottle nonexistence signal; the intelligent humidifier is further connected with the object identification device and used for improving the humidifying operation strength when the signal of the existing liquefaction bottle is received.
More specifically, in the intelligent humidifier: in the hierarchical processing device, the image sharpening process of the primary sharpening strength is performed with a sharpening strength greater than that of the secondary sharpening strength.
More specifically, in the intelligent humidifier: the intelligent humidifier is also connected with the object identification equipment and used for reducing the force of the humidifying operation when the signal that the liquefaction bottle does not exist is received.
More specifically, in the intelligent humidifier: the intelligent humidifier is also used for starting humidification operation when the humidity of the position is smaller than the preset humidity threshold value.
More specifically, in the intelligent humidifier: the area processing equipment and the target image extraction equipment are realized by adopting FPGA chips with different models.
More specifically, in the intelligent humidifier: the visible light camera further comprises a self-adjusting unit which is connected with the pixel value matching device and used for carrying out vertical position self-adjustment on the visible light camera when the matching failure signal is received so as to restore the real-time vertical position of the visible light camera to the preset vertical position.
More specifically, in the intelligent humidifier: the pixel value matching device is further configured to stop background extraction of the visible light image and send a matching success signal when receiving the closing control signal.
More specifically, in the intelligent humidifier: the self-adjusting unit is further used for stopping the self-adjustment of the vertical position of the visible light camera when the matching success signal is received.
Detailed Description
The following will describe in detail an embodiment of the intelligent humidified warmer of the present invention.
The safety performance of the warmer is of great importance, products which are subjected to national mandatory certification (namely 3C marks) are selected when the warmer is bought, and the bathroom waterproof type warm air blower is also provided with a waterproof certification mark.
In order to overcome the defects, the invention builds an intelligent humidifying type warmer, and can effectively solve the corresponding technical problem.
The intelligent humidifying warmer shown according to the embodiment of the invention comprises:
the humidity detection equipment is arranged on the side wall of the warmer and used for detecting the humidity of the position where the warmer is located so as to obtain and output the humidity of the position where the warmer is located;
the intelligent humidifier is arranged above the top of the warmer, connected with the humidity detection equipment, and used for receiving the humidity of the position and stopping the humidification operation when the humidity of the position is greater than or equal to a preset humidity threshold value;
the visible light camera is arranged on the side wall of the warmer and used for shooting visible light of a scene where the warmer is located so as to obtain and output a corresponding visible light image;
the infrared measuring instrument comprises an infrared transmitting unit, an infrared receiving unit and a microcontroller, wherein the infrared transmitting unit is positioned on the visible light camera and used for vertically and downwardly transmitting infrared signals, the infrared receiving unit is positioned beside the infrared transmitting unit and used for receiving the reflected infrared signals, and the microcontroller is respectively connected with the infrared transmitting unit and the infrared receiving unit and used for determining the real-time vertical position of the visible light camera based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit;
the triggering starting device is connected with the infrared measuring instrument and used for sending a starting control signal when the real-time vertical position deviates from a preset vertical position and exceeds the limit, and also used for sending a closing control signal when the real-time vertical position deviates from the preset vertical position and does not exceed the limit;
the pixel value matching device is respectively connected with the trigger starting device and the visible light camera, and is used for performing background extraction on the visible light image to obtain a real-time background image when the starting control signal is received, matching the real-time background image with a preset background image, sending a matching failure signal when the matching degree is smaller than a preset percentage threshold value, and sending a matching success signal when the matching degree is larger than or equal to the preset percentage threshold value;
the area processing device is connected with the visible light camera and used for receiving the visible light image and extracting the outline of each target in the visible light image to obtain each distribution area of each target in the visible light image, and the area processing device is also used for partitioning the visible light image to obtain each sub-image; in the region processing apparatus, for the visible light image, a size of the sub-image obtained by uniformly dividing each distribution region is smaller than a size of the sub-image obtained by uniformly dividing the non-distribution region, and uniformly dividing each distribution region includes: the larger the area of the distribution region is, the larger the size of the sub-image obtained by division is;
the target image extraction device is connected with the area processing device and used for receiving the sub-images of the visible light image, detecting the dynamic range of each sub-image, adjusting the threshold size of the corresponding sub-image for background stripping based on the width size of the dynamic range of each sub-image, and executing the following processing for each sub-image: carrying out background stripping on the subimages by adopting the adjusted threshold value to obtain a corresponding target area; the target image extraction equipment is also used for integrating each target area corresponding to each sub-image to obtain a target image and outputting the target image; in the target image extraction device, adjusting the threshold size for background stripping of the corresponding sub-image based on the width size of its dynamic range includes: the narrower the width of the dynamic range is, the smaller the adjusted threshold value for background stripping of the corresponding sub-image is;
the Gaussian filtering device is connected with the target image extraction device and is used for receiving the target image and executing corresponding times of Gaussian filtering processing in proportion to the noise amplitude of the target image on the target image to obtain a corresponding self-adaptive filtering image;
the image distinguishing device is connected with the Gaussian filtering device and used for receiving the self-adaptive filtering image, performing uniform partitioning on the self-adaptive filtering image to obtain each partitioned sub-image, performing detection processing on whether an edge line exists or not on each partitioned sub-image to take the partitioned sub-image with the edge line as a reference sub-image, taking the partitioned sub-image without the edge line as a non-reference sub-image, taking a plurality of sub-images in each reference sub-image field as a plurality of secondary sub-images, outputting each secondary sub-image in the self-adaptive filtering image and outputting each reference sub-image in the self-adaptive filtering image;
the hierarchical processing device is connected with the image distinguishing device and is used for receiving each reference sub-image and each secondary sub-image in the self-adaptive filtering image, performing image sharpening processing of primary sharpening strength on each reference sub-image to obtain each reference sharpened sub-image, performing image sharpening processing of secondary sharpening strength on each secondary sub-image to obtain each secondary sharpened sub-image, and combining the reference sharpened sub-images, the secondary sharpened sub-images and non-reference sub-images of the non-secondary sharpened sub-images to obtain a combined image;
the object identification device is connected with the grading processing device and used for receiving the combined image, identifying a corresponding liquefied bottle image from the combined image based on a preset liquefied bottle gray threshold, performing background analysis on the liquefied bottle image to obtain a background sub-image with a size corresponding to the liquefied bottle image, subtracting the background sub-image from the liquefied bottle image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a liquefied bottle existence signal when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold, or sending a liquefied bottle nonexistence signal;
the intelligent humidifier is further connected with the object identification device and used for improving the humidifying operation strength when the signal of the existing liquefaction bottle is received.
Next, the detailed structure of the intelligent humidifier of the present invention will be further described.
In the intelligent humidifier: in the hierarchical processing device, the image sharpening process of the primary sharpening strength is performed with a sharpening strength greater than that of the secondary sharpening strength.
In the intelligent humidifier: the intelligent humidifier is also connected with the object identification equipment and used for reducing the force of the humidifying operation when the signal that the liquefaction bottle does not exist is received.
In the intelligent humidifier: the intelligent humidifier is also used for starting humidification operation when the humidity of the position is smaller than the preset humidity threshold value.
In the intelligent humidifier: the area processing equipment and the target image extraction equipment are realized by adopting FPGA chips with different models.
In the intelligent humidifier: the visible light camera further comprises a self-adjusting unit which is connected with the pixel value matching device and used for carrying out vertical position self-adjustment on the visible light camera when the matching failure signal is received so as to restore the real-time vertical position of the visible light camera to the preset vertical position.
In the intelligent humidifier: the pixel value matching device is further configured to stop background extraction of the visible light image and send a matching success signal when receiving the closing control signal.
And in the intelligent humidifier: the self-adjusting unit is further used for stopping the self-adjustment of the vertical position of the visible light camera when the matching success signal is received.
In addition, in the intelligent humidification heater, still include: and the optical fiber transmission interface is connected with the object identification equipment and is used for forwarding the liquefied bottle existence signal or the liquefied bottle nonexistence signal.
Optical fibers are short for optical fibers, and are fibers made of glass or plastic that can be used as a light conducting means. The principle of transmission is total reflection of light. The fine optical fiber is enclosed in a plastic sheath so that it can be bent without breaking. Generally, a Light Emitting Diode (LED) or a laser beam is used as a transmitter at one end of the optical fiber to transmit an optical pulse to the optical fiber, and a photosensor is used as a receiver at the other end of the optical fiber to detect the pulse.
In the multimode optical fiber, the core diameter is 50 μm and 62.5 μm, which are approximately equivalent to the thickness of human hair. Whereas the diameter of the single-mode optical fiber core is 8 μm to 10 μm, 9/125 μm is generally used. The core is surrounded by a glass envelope, commonly referred to as a cladding, of lower refractive index than the core, which keeps the light rays within the core. Further on the outside is a thin plastic outer jacket, i.e. a coating, for protecting the cladding. The optical fibers are typically bundled and protected by an outer jacket. The core is usually a double-walled concentric cylinder of silica glass with a small cross-sectional area, which is brittle and easily broken, and therefore requires the addition of a protective layer.
By adopting the intelligent humidifying warmer, aiming at the technical problem of incomplete warmer function in the prior art, the target identification is carried out around the warmer, so that when the existence of a liquefied bottle explosive product is determined, the intensity of humidification operation is improved, the probability of explosion is reduced, and the field safety is effectively maintained, wherein each position of an image is differentially processed, and the differentially processed results are combined to reconstruct an image which is clearer than the original image; on the basis of roughly detecting the target contour of the image, acquiring a region division strategy of the image, and on the basis, acquiring the target image with the background stripped with high precision; and particularly, a self-adjusting unit is arranged in the visible light camera to automatically restore the position according to the position change condition, so that the technical problem is solved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. An intelligent humidified warmer, the warmer comprising:
the humidity detection equipment is arranged on the side wall of the warmer and used for detecting the humidity of the position where the warmer is located so as to obtain and output the humidity of the position where the warmer is located;
the intelligent humidifier is arranged above the top of the warmer, connected with the humidity detection equipment, and used for receiving the humidity of the position and stopping the humidification operation when the humidity of the position is greater than or equal to a preset humidity threshold value;
the visible light camera is arranged on the side wall of the warmer and used for shooting visible light of a scene where the warmer is located so as to obtain and output a corresponding visible light image;
the infrared measuring instrument comprises an infrared transmitting unit, an infrared receiving unit and a microcontroller, wherein the infrared transmitting unit is positioned on the visible light camera and used for vertically and downwardly transmitting infrared signals, the infrared receiving unit is positioned beside the infrared transmitting unit and used for receiving the reflected infrared signals, and the microcontroller is respectively connected with the infrared transmitting unit and the infrared receiving unit and used for determining the real-time vertical position of the visible light camera based on the transmitting time of the infrared transmitting unit and the receiving time of the infrared receiving unit;
the triggering starting device is connected with the infrared measuring instrument and used for sending a starting control signal when the real-time vertical position deviates from a preset vertical position and exceeds the limit, and also used for sending a closing control signal when the real-time vertical position deviates from the preset vertical position and does not exceed the limit;
the pixel value matching device is respectively connected with the trigger starting device and the visible light camera, and is used for performing background extraction on the visible light image to obtain a real-time background image when the starting control signal is received, matching the real-time background image with a preset background image, sending a matching failure signal when the matching degree is smaller than a preset percentage threshold value, and sending a matching success signal when the matching degree is larger than or equal to the preset percentage threshold value;
the area processing device is connected with the visible light camera and used for receiving the visible light image and extracting the outline of each target in the visible light image to obtain each distribution area of each target in the visible light image, and the area processing device is also used for partitioning the visible light image to obtain each sub-image; in the region processing apparatus, for the visible light image, a size of a sub-image obtained by uniformly dividing each distribution region is smaller than a size of a sub-image obtained by uniformly dividing an undistributed region, and the larger an area of a distribution region is, the larger a size of a sub-image obtained by dividing is;
the target image extraction device is connected with the area processing device and used for receiving the sub-images of the visible light image, detecting the dynamic range of each sub-image, adjusting the threshold size of the corresponding sub-image for background stripping based on the width size of the dynamic range of each sub-image, and executing the following processing for each sub-image: carrying out background stripping on the subimages by adopting the adjusted threshold value to obtain a corresponding target area; the target image extraction equipment is also used for integrating each target area corresponding to each sub-image to obtain a target image and outputting the target image; in the target image extraction device, adjusting the threshold size for background stripping of the corresponding sub-image based on the width size of its dynamic range includes: the narrower the width of the dynamic range is, the smaller the adjusted threshold value for background stripping of the corresponding sub-image is;
the Gaussian filtering device is connected with the target image extraction device and is used for receiving the target image and executing corresponding times of Gaussian filtering processing in proportion to the noise amplitude of the target image on the target image to obtain a corresponding self-adaptive filtering image;
the image distinguishing device is connected with the Gaussian filtering device and used for receiving the self-adaptive filtering image, performing uniform partitioning on the self-adaptive filtering image to obtain each partitioned sub-image, performing detection processing on whether an edge line exists or not on each partitioned sub-image to take the partitioned sub-image with the edge line as a reference sub-image, taking the partitioned sub-image without the edge line as a non-reference sub-image, taking a plurality of sub-images in each reference sub-image field as a plurality of secondary sub-images, outputting each secondary sub-image in the self-adaptive filtering image and outputting each reference sub-image in the self-adaptive filtering image;
the hierarchical processing device is connected with the image distinguishing device and is used for receiving each reference sub-image and each secondary sub-image in the self-adaptive filtering image, performing image sharpening processing of primary sharpening strength on each reference sub-image to obtain each reference sharpened sub-image, performing image sharpening processing of secondary sharpening strength on each secondary sub-image to obtain each secondary sharpened sub-image, and combining the reference sharpened sub-images, the secondary sharpened sub-images and non-reference sub-images of the non-secondary sharpened sub-images to obtain a combined image;
the object identification device is connected with the grading processing device and used for receiving the combined image, identifying a corresponding liquefied bottle image from the combined image based on a preset liquefied bottle gray threshold, performing background analysis on the liquefied bottle image to obtain a background sub-image with a size corresponding to the liquefied bottle image, subtracting the background sub-image from the liquefied bottle image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a liquefied bottle existence signal when the number of the non-zero pixels is greater than or equal to a preset pixel number threshold, or sending a liquefied bottle nonexistence signal;
the intelligent humidifier is also connected with the object identification equipment and is used for improving the humidifying operation strength when receiving the signal of the existence of the liquefaction bottle;
in the hierarchical processing device, the image sharpening processing of the primary sharpening strength is performed with a sharpening strength greater than that of the secondary sharpening strength;
the intelligent humidifier is also connected with the object identification equipment and is used for reducing the humidifying operation strength when the signal that the liquefaction bottle does not exist is received;
the intelligent humidifier is also used for starting humidification operation when the humidity of the position is smaller than the preset humidity threshold value.
2. An intelligent humidified warmer as claimed in claim 1, wherein:
the area processing equipment and the target image extraction equipment are realized by adopting FPGA chips with different models.
3. An intelligent humidified warmer as claimed in claim 2, wherein:
the visible light camera further comprises a self-adjusting unit which is connected with the pixel value matching device and used for carrying out vertical position self-adjustment on the visible light camera when the matching failure signal is received so as to restore the real-time vertical position of the visible light camera to the preset vertical position.
4. An intelligent humidified warmer as claimed in claim 3, wherein:
the pixel value matching device is further configured to stop background extraction of the visible light image and send a matching success signal when receiving the closing control signal.
5. An intelligent humidified warmer as claimed in claim 4, wherein:
the self-adjusting unit is further used for stopping the self-adjustment of the vertical position of the visible light camera when the matching success signal is received.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810631495.6A CN110173752B (en) | 2018-06-19 | 2018-06-19 | Intelligent humidifying type warmer |
| PCT/CN2019/082524 WO2019242386A1 (en) | 2018-06-19 | 2019-04-12 | Smart humidification-type heater |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810631495.6A CN110173752B (en) | 2018-06-19 | 2018-06-19 | Intelligent humidifying type warmer |
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| CN110173752B true CN110173752B (en) | 2021-04-13 |
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| CN114738919B (en) * | 2022-03-14 | 2024-04-26 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
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| CN104883502A (en) * | 2015-05-19 | 2015-09-02 | 广东欧珀移动通信有限公司 | Focusing method and apparatus for mobile terminal |
| CN107135421B (en) * | 2017-06-13 | 2020-08-07 | 北京市博汇科技股份有限公司 | Video feature detection method and device |
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| JP2002081667A (en) * | 2000-09-07 | 2002-03-22 | Noritz Corp | Bathroom heater |
| CN204006295U (en) * | 2014-08-09 | 2014-12-10 | 福州外语外贸学院 | A kind of warmer with air humidity control function |
| CN106020081A (en) * | 2016-06-23 | 2016-10-12 | 安庆市银瑞商贸有限公司 | Inflammable safety monitoring system |
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| WO2019242386A1 (en) | 2019-12-26 |
| CN110173752A (en) | 2019-08-27 |
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