CN105239875A - Intelligent opening control system for bedroom window - Google Patents
Intelligent opening control system for bedroom window Download PDFInfo
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- CN105239875A CN105239875A CN201510534165.1A CN201510534165A CN105239875A CN 105239875 A CN105239875 A CN 105239875A CN 201510534165 A CN201510534165 A CN 201510534165A CN 105239875 A CN105239875 A CN 105239875A
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- 238000012545 processing Methods 0.000 claims abstract description 69
- 210000004243 sweat Anatomy 0.000 claims abstract description 39
- 230000007246 mechanism Effects 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 15
- 230000011218 segmentation Effects 0.000 claims description 15
- 230000003068 static effect Effects 0.000 claims description 15
- 239000000284 extract Substances 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000003628 erosive effect Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 abstract description 2
- 230000035900 sweating Effects 0.000 description 6
- 238000013461 design Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 206010019345 Heat stroke Diseases 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/71—Power-operated mechanisms for wings with automatic actuation responsive to temperature changes, rain, wind or noise
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/73—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects
- E05F2015/765—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects using optical sensors
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
- E05F15/00—Power-operated mechanisms for wings
- E05F15/70—Power-operated mechanisms for wings with automatic actuation
- E05F15/73—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects
- E05F2015/767—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects using cameras
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- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
- E05Y2900/00—Application of doors, windows, wings or fittings thereof
- E05Y2900/10—Application of doors, windows, wings or fittings thereof for buildings or parts thereof
- E05Y2900/13—Type of wing
- E05Y2900/148—Windows
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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
- G06T2207/10048—Infrared 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
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
Landscapes
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention relates to an intelligent opening control system for a bedroom window. The intelligent opening control system comprises an infrared thermal phase meter, a visible light camera, image processing equipment, a window opening mechanism and embedded processing equipment, wherein the infrared thermal phase meter and the visible light camera perform indoor shooting on a bedroom so as to obtain infrared images and visible light images respectively; the image processing equipment is connected with the infrared thermal phase meter and the visible light camera and used for processing the infrared images and the visible light images respectively; the embedded processing equipment is connected with the image processing equipment and the window opening mechanism, and an opening strategy of the window opening mechanism is determined on the basis of image processing results of the image processing equipment. By means of the intelligent opening control system for the bedroom window, the opening degree of the bedroom window can be intelligently controlled according to sweat conditions of people in the bedroom and outdoor wind speed, and the appropriate ventilation environment can be maintained for people in the bedroom.
Description
Technical field
The present invention relates to Smart Home field, particularly relate to the intelligent opening control system of a kind of bedroom window.
Background technology
For bedroom, its window is the important tool determining room ventilation situation.The degree that the opening and closing of window and window are opened determines the quality of indoor temperature, humidity and room air.By day, people in bedroom can carry out opening and closing to window voluntarily and open degree controls, even by day, possible nobody has a rest in bedroom, but at night, all there are personnel and have a rest in general bedroom, and personnel are in sleep state, cannot control window, at this moment can only before sleep, window be controlled in opening and closing two states, and opening and closing and the open degree control of window cannot be carried out flexibly according to outdoor wind speed and the indoor occupant degree of sweating in sleep.
In prior art, do not exist when bedroom personnel sleep soundly, according to outdoor wind speed and indoor occupant degree of sweating, intelligent scheme of opening control is carried out to bedroom window, be easy to like this cause following problem: (1) indoor occupant is sweat a lot, but window is in closed condition always; (2) indoor occupant is not sweat, but window is in open mode always; (3) window can not according to the opening degree at outdoor wind speed automatic control window family.Above-mentioned situation all can cause certain discomfort to being in dormant personnel in bedroom, may cause suffering from cold or the generation of heatstroke situation time serious.
For this reason, the present invention proposes the intelligent opening control system of a kind of bedroom window, intellectuality can be carried out according to outdoor wind speed and indoor occupant degree of sweating to bedroom window when bedroom personnel sleep soundly to open and control, thus provide a good sleep environment for being in dormant personnel in bedroom.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides the intelligent opening control system of a kind of bedroom window, first environmentally the open and close of infrared thermovision system and Visible Light Camera is determined in brightness, to ensure no matter in any ambient brightness situation, there is applicable image capture device, subsequently, the intellectuality unlatching control that the image processing equipment realization adopting outdoor wind speed detector and have adaptive threshold fuzziness mechanism is carried out bedroom window according to outdoor wind speed and indoor occupant degree of sweating, thus give the personnel in sleeping with splendid body sense comfort level.
According to an aspect of the present invention, provide the intelligent opening control system of a kind of bedroom window, described control system comprises infrared thermovision system, Visible Light Camera, image processing equipment, window opening mechanism and embedded processing equipment, described infrared thermovision system and described Visible Light Camera all to bedroom indoor shot to obtain infrared image and visible images respectively, described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for carrying out image procossing respectively to described infrared image and described visible images, described embedded processing equipment is connected respectively with described image processing equipment and described window opening mechanism, processing result image based on described image processing equipment determines the unlatching strategy of described window opening mechanism.
More specifically, in the intelligent opening control system of described bedroom window, also comprise: room brilliancy sensor, be arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom, outdoor wind speed detector, is arranged on the exterior wall of outside, bedroom, for detecting and exporting the real-time wind speed of outside, bedroom, power supply unit, be arranged on the exterior wall of outside, bedroom, comprise solar powered device, commercial power interface, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described commercial power interface, line voltage size according to commercial power interface place determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage, static memory, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold, described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for receiving infrared image or visible images using as detected image, described image processing equipment comprises Image semantic classification subset, Threshold selection subset, human body segmentation's subset and sweat and extracts subset, described Image semantic classification subset performs edge successively to described detected image and strengthens process, wavelet filtering process, image expansion process, Image erosion process and gray processing process, to obtain gray level image, described Threshold selection subset is connected respectively with described static memory and described Image semantic classification subset, for selecting a value as preliminary election gray threshold successively from described human body gray threshold scope, preliminary election gray threshold is adopted gray level image to be divided into preliminary election background area and pre-selected target region, calculate the area ratio area ratio as a setting that preliminary election background area occupies gray level image, calculate the pixel average gray value average gray value as a setting of preliminary election background area, calculate pre-selected target region and occupy the area ratio of gray level image as target area ratio, calculate the pixel average gray value in pre-selected target region as target average gray value, background average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by background area than to obtain the first product, target average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by target area than to obtain the second product, by the first sum of products second product addition to obtain and value, select and be worth maximum preliminary election gray threshold as target gray threshold value, described human body segmentation's subset is connected with described Threshold selection subset, for adopting target gray threshold value, gray level image is divided into background image and human body image, described sweat extracts subset and is connected respectively with described human body segmentation's subset and described static memory, each sweat subgraph meeting sweat form is extracted from human body image, pixel summation in each sweat subgraph accumulative, when the pixel summation obtained is greater than presetted pixel amount threshold, judge that human body exists sweat and output exists sweat signal, when the pixel summation obtained is less than or equal to presetted pixel amount threshold, judge that human body does not exist sweat and output does not exist sweat signal, described embedded processing equipment is connected respectively with described infrared thermovision system, described Visible Light Camera, described room brilliancy sensor, described outdoor wind speed detector, described static memory, described image processing equipment and described window opening mechanism, when the ambient brightness received is less than or equal to luminance threshold, open described infrared thermovision system and close described Visible Light Camera, when the ambient brightness received is greater than luminance threshold, closes described infrared thermovision system and open described Visible Light Camera, also there is sweat signal receiving in described embedded processing equipment, determines the unlatching strategy of described window opening mechanism according to the real-time wind speed received, wherein, in described image processing equipment, using infrared image before detected image, infrared image is carried out visible ray formula image conversion, using conversion after image as detected image, the unlatching strategy that described embedded processing equipment is determined specifically comprises: described embedded processing equipment controls described window opening mechanism, and the aperture of described window opening mechanism control window and real-time wind speed are inversely proportional to, described static memory has prestored the wind speed aperture table of comparisons, the described wind speed aperture table of comparisons gives the mapping relations of each wind speed range and window aperture, and described embedded processing equipment makes the aperture of described window opening mechanism control window and real-time wind speed be inversely proportional to according to the described wind speed aperture table of comparisons.
More specifically, in the intelligent opening control system of described bedroom window: described image processing equipment, described infrared thermovision system and described Visible Light Camera are integrated on one piece of surface-mounted integrated circuit.
More specifically, in the intelligent opening control system of described bedroom window: described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and adopts the fpga chip of different model respectively to realize.
More specifically, in the intelligent opening control system of described bedroom window: described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and is integrated in same fpga chip.
More specifically, in the intelligent opening control system of described bedroom window, described control system also comprises: display device, with described embedded processing equipment connection, for receiving and showing described ambient brightness and described real-time wind speed.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the intelligent opening control system of bedroom window illustrated according to an embodiment of the present invention.
Reference numeral: 1 infrared thermovision system; 2 Visible Light Cameras; 3 image processing equipments; 4 window opening mechanisms; 5 embedded processing equipment
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the intelligent opening control system of bedroom of the present invention window is described in detail.
Bedroom window be ventilate, the vitals of balance cylinder's internal and external temperature and humidity.In prior art, need people oneself to carry out the unlatching of bedroom window, closedown and open degree degree according to body emotion condition, but once people enter sleep state, just cannot realize these and control.
In order to overcome above-mentioned deficiency, the present invention has built the intelligent opening control system of a kind of bedroom window, adopt the mode that visual machine controls, even if sleeping indoor occupant is in sleep state, also can carry out opening and closing and the open degree control of window flexibly according to outdoor wind speed and the indoor occupant degree of sweating.
Fig. 1 is the block diagram of the intelligent opening control system of bedroom window illustrated according to an embodiment of the present invention, described control system comprises infrared thermovision system, Visible Light Camera, image processing equipment, window opening mechanism and embedded processing equipment, described infrared thermovision system and described Visible Light Camera all to bedroom indoor shot to obtain infrared image and visible images respectively, described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for carrying out image procossing respectively to described infrared image and described visible images, described embedded processing equipment is connected respectively with described image processing equipment and described window opening mechanism, processing result image based on described image processing equipment determines the unlatching strategy of described window opening mechanism.
Then, continue to be further detailed the concrete structure of the intelligent opening control system of bedroom of the present invention window.
Described control system also comprises: room brilliancy sensor, is arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom.
Described control system also comprises: outdoor wind speed detector, is arranged on the exterior wall of outside, bedroom, for detecting and exporting the real-time wind speed of outside, bedroom.
Described control system also comprises: power supply unit, be arranged on the exterior wall of outside, bedroom, comprise solar powered device, commercial power interface, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described commercial power interface, line voltage size according to commercial power interface place determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
Described control system also comprises: static memory, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold.
Described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for receiving infrared image or visible images using as detected image; Described image processing equipment comprises Image semantic classification subset, Threshold selection subset, human body segmentation's subset and sweat and extracts subset.
Described Image semantic classification subset performs edge successively to described detected image and strengthens process, wavelet filtering process, image expansion process, Image erosion process and gray processing process, to obtain gray level image.
Described Threshold selection subset is connected respectively with described static memory and described Image semantic classification subset, for selecting a value as preliminary election gray threshold successively from described human body gray threshold scope, preliminary election gray threshold is adopted gray level image to be divided into preliminary election background area and pre-selected target region, calculate the area ratio area ratio as a setting that preliminary election background area occupies gray level image, calculate the pixel average gray value average gray value as a setting of preliminary election background area, calculate pre-selected target region and occupy the area ratio of gray level image as target area ratio, calculate the pixel average gray value in pre-selected target region as target average gray value, background average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by background area than to obtain the first product, target average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by target area than to obtain the second product, by the first sum of products second product addition to obtain and value, select and be worth maximum preliminary election gray threshold as target gray threshold value.
Described human body segmentation's subset is connected with described Threshold selection subset, for adopting target gray threshold value, gray level image is divided into background image and human body image.
Described sweat extracts subset and is connected respectively with described human body segmentation's subset and described static memory, each sweat subgraph meeting sweat form is extracted from human body image, pixel summation in each sweat subgraph accumulative, when the pixel summation obtained is greater than presetted pixel amount threshold, judge that human body exists sweat and output exists sweat signal, when the pixel summation obtained is less than or equal to presetted pixel amount threshold, judge that human body does not exist sweat and output does not exist sweat signal.
Described embedded processing equipment is connected respectively with described infrared thermovision system, described Visible Light Camera, described room brilliancy sensor, described outdoor wind speed detector, described static memory, described image processing equipment and described window opening mechanism, when the ambient brightness received is less than or equal to luminance threshold, open described infrared thermovision system and close described Visible Light Camera, when the ambient brightness received is greater than luminance threshold, closes described infrared thermovision system and open described Visible Light Camera.Also there is sweat signal receiving in described embedded processing equipment, determines the unlatching strategy of described window opening mechanism according to the real-time wind speed received.
Wherein, in described image processing equipment, using infrared image before detected image, infrared image is carried out visible ray formula image conversion, using conversion after image as detected image; The unlatching strategy that described embedded processing equipment is determined specifically comprises: described embedded processing equipment controls described window opening mechanism, and the aperture of described window opening mechanism control window and real-time wind speed are inversely proportional to; Described static memory has prestored the wind speed aperture table of comparisons, the described wind speed aperture table of comparisons gives the mapping relations of each wind speed range and window aperture, and described embedded processing equipment makes the aperture of described window opening mechanism control window and real-time wind speed be inversely proportional to according to the described wind speed aperture table of comparisons.
Alternatively, in described control system: described image processing equipment, described infrared thermovision system and described Visible Light Camera are integrated on one piece of surface-mounted integrated circuit; Described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and adopt the fpga chip of different model respectively to realize; Described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and are integrated in same fpga chip; Described control system can also comprise: display device, with described embedded processing equipment connection, for receiving and showing described ambient brightness and described real-time wind speed.
In addition, FPGA (Field-ProgrammableGateArray), i.e. field programmable gate array, he is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD.He occurs as a kind of semi-custom circuit in special IC (ASIC) field, has both solved the deficiency of custom circuit, overcomes again the shortcoming that original programming device gate circuit number is limited.
With the circuit design that hardware description language (Verilog or VHDL) completes, can through simple comprehensive and layout, being burned onto fast on FPGA and testing, is the technology main flow of modern IC designs checking.These can be edited element and can be used to realize some basic logic gates (such as AND, OR, XOR, NOT) or more more complex combination function such as decoder or mathematical equation.Inside most FPGA, in these editable elements, also comprise memory cell such as trigger (Flip-flop) or other more complete block of memory.System designer can be coupled together the logical block of FPGA inside by editable connection as required, just looks like that a breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA can change according to designer with being connected, so FPGA can complete required logic function.
FPGA is in general slow than the speed of ASIC (special IC), realizes same function ratio ASIC circuit area and wants large.But they also have a lot of advantages such as can finished product fast, can be modified the mistake in correction program and more cheap cost.Manufacturer also may provide the FPGA of cheap still edit capability difference.Because these chips have poor can edit capability, so exploitations of these designs complete on common FPGA, then design is transferred to one and is similar on the chip of ASIC.Another method is with CPLD (ComplexProgrammableLogicDevice, CPLD).The exploitation of FPGA has a great difference relative to the exploitation of conventional P C, single-chip microcomputer.FPGA, based on concurrent operation, realizes with hardware description language; Very large difference is had compared to the operation in tandem of PC or single-chip microcomputer (no matter being von Neumann structure or Harvard structure).
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA includes the Programmadle logic unit of some relatively large amount.The density of CPLD gate is between several thousand to several ten thousand logical blocks, and FPGA normally arrives millions of several ten thousand.The main distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restrictive structure.This structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts.Such result lacks editor's flexibility, but but have the time delay and logical block that can estimate to the advantage of linkage unit height ratio.And FPGA has a lot of linkage units, although allow him edit more flexibly like this, structure is complicated many.
Adopt the intelligent opening control system of bedroom of the present invention window, for the uncontrollable technical problem of window when sleep state of bedroom personnel in prior art, introduce the image processing equipment of luminance sensor and air velocity transducer and employing adaptivenon-uniform sampling threshold value, realize opening control according to outdoor wind speed and indoor occupant degree of sweating to the intellectuality that bedroom window carries out when bedroom personnel sleep soundly.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (6)
1. the intelligent opening control system of bedroom window, described control system comprises infrared thermovision system, Visible Light Camera, image processing equipment, window opening mechanism and embedded processing equipment, described infrared thermovision system and described Visible Light Camera all to bedroom indoor shot to obtain infrared image and visible images respectively, described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for carrying out image procossing respectively to described infrared image and described visible images, described embedded processing equipment is connected respectively with described image processing equipment and described window opening mechanism, processing result image based on described image processing equipment determines the unlatching strategy of described window opening mechanism.
2. the intelligent opening control system of bedroom as claimed in claim 1 window, it is characterized in that, described control system also comprises:
Room brilliancy sensor, is arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom;
Outdoor wind speed detector, is arranged on the exterior wall of outside, bedroom, for detecting and exporting the real-time wind speed of outside, bedroom;
Power supply unit, be arranged on the exterior wall of outside, bedroom, comprise solar powered device, commercial power interface, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described commercial power interface, line voltage size according to commercial power interface place determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage;
Static memory, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold;
Described image processing equipment is connected respectively with described infrared thermovision system and described Visible Light Camera, for receiving infrared image or visible images using as detected image, described image processing equipment comprises Image semantic classification subset, Threshold selection subset, human body segmentation's subset and sweat and extracts subset, described Image semantic classification subset performs edge successively to described detected image and strengthens process, wavelet filtering process, image expansion process, Image erosion process and gray processing process, to obtain gray level image, described Threshold selection subset is connected respectively with described static memory and described Image semantic classification subset, for selecting a value as preliminary election gray threshold successively from described human body gray threshold scope, preliminary election gray threshold is adopted gray level image to be divided into preliminary election background area and pre-selected target region, calculate the area ratio area ratio as a setting that preliminary election background area occupies gray level image, calculate the pixel average gray value average gray value as a setting of preliminary election background area, calculate pre-selected target region and occupy the area ratio of gray level image as target area ratio, calculate the pixel average gray value in pre-selected target region as target average gray value, background average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by background area than to obtain the first product, target average gray value is deducted the overall average gray value of gray level image, the difference obtained square to be multiplied by target area than to obtain the second product, by the first sum of products second product addition to obtain and value, select and be worth maximum preliminary election gray threshold as target gray threshold value, described human body segmentation's subset is connected with described Threshold selection subset, for adopting target gray threshold value, gray level image is divided into background image and human body image, described sweat extracts subset and is connected respectively with described human body segmentation's subset and described static memory, each sweat subgraph meeting sweat form is extracted from human body image, pixel summation in each sweat subgraph accumulative, when the pixel summation obtained is greater than presetted pixel amount threshold, judge that human body exists sweat and output exists sweat signal, when the pixel summation obtained is less than or equal to presetted pixel amount threshold, judge that human body does not exist sweat and output does not exist sweat signal,
Described embedded processing equipment is connected respectively with described infrared thermovision system, described Visible Light Camera, described room brilliancy sensor, described outdoor wind speed detector, described static memory, described image processing equipment and described window opening mechanism, when the ambient brightness received is less than or equal to luminance threshold, open described infrared thermovision system and close described Visible Light Camera, when the ambient brightness received is greater than luminance threshold, closes described infrared thermovision system and open described Visible Light Camera; Also there is sweat signal receiving in described embedded processing equipment, determines the unlatching strategy of described window opening mechanism according to the real-time wind speed received;
Wherein, in described image processing equipment, using infrared image before detected image, infrared image is carried out visible ray formula image conversion, using conversion after image as detected image;
Wherein, the unlatching strategy that described embedded processing equipment is determined specifically comprises: described embedded processing equipment controls described window opening mechanism, and the aperture of described window opening mechanism control window and real-time wind speed are inversely proportional to;
Wherein, described static memory has prestored the wind speed aperture table of comparisons, the described wind speed aperture table of comparisons gives the mapping relations of each wind speed range and window aperture, and described embedded processing equipment makes the aperture of described window opening mechanism control window and real-time wind speed be inversely proportional to according to the described wind speed aperture table of comparisons.
3. the intelligent opening control system of bedroom as claimed in claim 2 window, is characterized in that:
Described image processing equipment, described infrared thermovision system and described Visible Light Camera are integrated on one piece of surface-mounted integrated circuit.
4. the intelligent opening control system of bedroom as claimed in claim 2 window, is characterized in that:
Described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and adopt the fpga chip of different model respectively to realize.
5. the intelligent opening control system of bedroom as claimed in claim 2 window, is characterized in that:
Described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and are integrated in same fpga chip.
6. the intelligent opening control system of bedroom as claimed in claim 2 window, it is characterized in that, described control system also comprises:
Display device, with described embedded processing equipment connection, for receiving and showing described ambient brightness and described real-time wind speed.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510534165.1A CN105239875B (en) | 2015-08-27 | 2015-08-27 | Intelligent opening control system for bedroom window |
| CN201610420838.5A CN105971441B (en) | 2015-08-27 | 2015-08-27 | Bedroom window intellectuality opening control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510534165.1A CN105239875B (en) | 2015-08-27 | 2015-08-27 | Intelligent opening control system for bedroom window |
Related Child Applications (1)
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| CN105971441A (en) * | 2015-08-27 | 2016-09-28 | 李勇 | Intelligent opening control system of bedroom window |
| CN106285301A (en) * | 2016-08-27 | 2017-01-04 | 蔡璟 | A kind of intelligent window open system treating thermal dissipating object based on image detection |
| CN106373099A (en) * | 2016-08-31 | 2017-02-01 | 余姚市泗门印刷厂 | Image processing method |
| CN106371358A (en) * | 2016-08-31 | 2017-02-01 | 宁波优而雅电器有限公司 | Intelligent window body framework control platform |
| CN106385555A (en) * | 2016-08-31 | 2017-02-08 | 宁波优而雅电器有限公司 | Intelligent window operation method based on multi-parameter detection |
| CN106406168A (en) * | 2016-08-31 | 2017-02-15 | 余姚市江腾塑业有限公司 | Multiparameter detection-based analysis and execution system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001182430A (en) * | 1999-12-28 | 2001-07-06 | Fujita Corp | Window opening-closing device |
| JP2006097237A (en) * | 2004-09-28 | 2006-04-13 | Aisin Seiki Co Ltd | Opening and closing equipment for window or door |
| CN103206130A (en) * | 2013-03-27 | 2013-07-17 | 成都阳光铝制品有限公司 | Intelligent door and window system |
| CN103470133A (en) * | 2013-08-30 | 2013-12-25 | 健雄职业技术学院 | Intelligent window and control method |
| CN103953251A (en) * | 2013-12-09 | 2014-07-30 | 苏州市职业大学 | Electric vehicle electric electric vehicle window anti-pinch device based on cameras |
| CN104295517A (en) * | 2014-08-08 | 2015-01-21 | 暨南大学 | Intelligent indoor temperature adjusting system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103422771A (en) * | 2013-07-30 | 2013-12-04 | 南昌大学 | Home security intelligent window |
| CN105971441B (en) * | 2015-08-27 | 2017-06-13 | 佛山市瑞创智能科技有限公司 | Bedroom window intellectuality opening control system |
-
2015
- 2015-08-27 CN CN201610420838.5A patent/CN105971441B/en active Active
- 2015-08-27 CN CN201510534165.1A patent/CN105239875B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001182430A (en) * | 1999-12-28 | 2001-07-06 | Fujita Corp | Window opening-closing device |
| JP2006097237A (en) * | 2004-09-28 | 2006-04-13 | Aisin Seiki Co Ltd | Opening and closing equipment for window or door |
| CN103206130A (en) * | 2013-03-27 | 2013-07-17 | 成都阳光铝制品有限公司 | Intelligent door and window system |
| CN103470133A (en) * | 2013-08-30 | 2013-12-25 | 健雄职业技术学院 | Intelligent window and control method |
| CN103953251A (en) * | 2013-12-09 | 2014-07-30 | 苏州市职业大学 | Electric vehicle electric electric vehicle window anti-pinch device based on cameras |
| CN104295517A (en) * | 2014-08-08 | 2015-01-21 | 暨南大学 | Intelligent indoor temperature adjusting system |
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| CN106909098A (en) * | 2016-10-25 | 2017-06-30 | 秦艳霞 | Automation forms Manipulation of the machine people based on droplet detection |
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| CN106910354A (en) * | 2016-10-25 | 2017-06-30 | 韩明 | One kind automation pedestrian crosswalk signal lamp |
| CN106547238A (en) * | 2016-10-25 | 2017-03-29 | 苏海英 | Traffic light automatic checkout system |
| CN109254552A (en) * | 2016-10-25 | 2019-01-22 | 灏圭孩 | A kind of system of network-based intelligent control charging pile |
| CN108487818A (en) * | 2017-05-23 | 2018-09-04 | 泉州有刺电子商务有限责任公司 | A kind of security window control platform |
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Also Published As
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| CN105971441B (en) | 2017-06-13 |
| CN105971441A (en) | 2016-09-28 |
| CN105239875B (en) | 2017-03-22 |
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