CN105178768A - Intelligent window automatic opening method - Google Patents
Intelligent window automatic opening method Download PDFInfo
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- CN105178768A CN105178768A CN201510535409.8A CN201510535409A CN105178768A CN 105178768 A CN105178768 A CN 105178768A CN 201510535409 A CN201510535409 A CN 201510535409A CN 105178768 A CN105178768 A CN 105178768A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 210000004243 sweat Anatomy 0.000 claims description 55
- 230000000007 visual effect Effects 0.000 claims description 20
- 238000003384 imaging method Methods 0.000 claims description 19
- 230000008569 process Effects 0.000 claims description 15
- 230000011218 segmentation Effects 0.000 claims description 15
- 239000000284 extract Substances 0.000 claims description 12
- 238000010295 mobile communication Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 6
- 230000006978 adaptation Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 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
- 238000012545 processing Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 230000035900 sweating Effects 0.000 abstract description 7
- 238000013461 design Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 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
- 238000001514 detection method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000009423 ventilation Methods 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
Landscapes
- Radiation Pyrometers (AREA)
- Image Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention relates to an intelligent window automatic opening method. The method comprises the following steps: 1) a window automatic opening platform based on an indoor/outdoor temperature difference is provided; the opening platform comprises an outdoor temperature sensor, an indoor temperature sensor, window control equipment and a digital signal processor; the outdoor temperature sensor is used for detecting an indoor temperature in a bedroom; the outdoor temperature sensor is used for detecting an outdoor temperature outside the bedroom; the digital signal processor is respectively connected with the outdoor temperature sensor, the indoor temperature sensor and the window control equipment; a temperature difference between the indoor temperature and the outdoor temperature is calculated; and the window control equipment realizes the opening control of a bedroom window based on the temperature different control; and 2) the opening platform is used for opening. The intelligent window automatic opening method can automatically control the openness of the bedroom window according to the bedroom human sweating condition and the indoor/outdoor temperature difference.
Description
Technical field
The present invention relates to temperature detection field, particularly relate to the automatic open method of a kind of intelligent window.
Background technology
In prior art, do not exist when bedroom personnel sleep soundly, according to indoor/outdoor temperature-difference 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: indoor occupant is sweat a lot, but window is in closed condition always; Indoor occupant is not sweat, but window is in open mode always; Or window can not according to the opening degree at indoor/outdoor temperature-difference 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 automatic open method of a kind of intelligent window, intellectuality can be carried out according to indoor/outdoor temperature-difference 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 automatic open method of a kind of intelligent window, first the environmentally open and close of brightness determination infra-red heat phase equipment and visual light imaging equipment, to ensure no matter in any ambient brightness situation, there is applicable image capture device, subsequently, adopt indoor temperature transmitter, the automation unlatching control that outdoor temperature sensor and the sweat checkout equipment realization with adaptive threshold fuzziness mechanism are carried out bedroom window according to indoor/outdoor temperature-difference and indoor occupant degree of sweating, thus provide a suitable sleep environment for the personnel that sleep soundly.
According to an aspect of the present invention, provide the automatic open method of a kind of intelligent window, the method comprises: 1) provide a kind of window based on indoor/outdoor temperature-difference automatically to open platform, described unlatching platform comprises outdoor temperature sensor, indoor temperature transmitter, window control appliance and digital signal processor, described outdoor temperature sensor is for detecting the interior temperature of inside, bedroom, described outdoor temperature sensor is for detecting the outside temperature of outside, bedroom, described digital signal processor and described outdoor temperature sensor, described indoor temperature transmitter is connected respectively with described window control appliance, calculate the temperature difference between interior temperature and outside temperature, control described window control appliance based on the described temperature difference to realize controlling the unlatching of bedroom window, 2) described unlatching platform is used to open.
More specifically, automatically open in platform at the described window based on indoor/outdoor temperature-difference, also comprise: infra-red heat phase equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain infrared image, visual light imaging equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain visible images, brightness sensing equipment, is arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom, sweat checkout equipment, is arranged on doss position, bedroom, is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for carrying out image procossing to described infrared image or described visible images, 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, portable hard drive, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold, described sweat checkout equipment is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for receiving infrared image or visible images using as detected image, described sweat checkout 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, the process of self adaptation recursive filtering, image expansion process, Image erosion process and gray processing process, to obtain gray level image, described Threshold selection subset is connected respectively with described portable hard drive 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 target average gray value, the difference obtained square to be multiplied by target area than and background area ratio, the product obtained is as threshold value product, the preliminary election gray threshold selecting threshold value product maximum is 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 portable hard drive, 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 digital signal processor is connected respectively with described outdoor temperature sensor, described indoor temperature transmitter, described infra-red heat phase equipment, described visual light imaging equipment, described room brilliancy sensing equipment, described portable hard drive, described sweat checkout equipment and described window control appliance, when the ambient brightness received is less than or equal to luminance threshold, open described infra-red heat phase equipment and close described visual light imaging equipment, when the ambient brightness received is greater than luminance threshold, closes described infra-red heat phase equipment and open described visual light imaging equipment, also there is sweat signal receiving in described digital signal processor, interior temperature is deducted outside temperature to obtain the temperature difference, realizes controlling the unlatching of bedroom window according to the temperature difference, wherein, in described sweat checkout equipment, using infrared image before detected image, infrared image is carried out visible ray formula image conversion, using conversion after image as detected image, described digital signal processor realizes controlling specifically to comprise to the unlatching of bedroom window according to the temperature difference: window control appliance described in described DSP CONTROL, and the aperture making described window control appliance control window is directly proportional to the temperature difference, described portable hard drive has prestored the temperature difference aperture table of comparisons, the described temperature difference aperture table of comparisons gives the mapping relations of each temperature range and window aperture, and the aperture that described digital signal processor makes described window control appliance control window according to the described temperature difference aperture table of comparisons is directly proportional to the temperature difference.
More specifically, automatically open in platform at the described window based on indoor/outdoor temperature-difference: described digital signal processor is the dsp chip of TI company.
More specifically, automatically open in platform at the described window based on indoor/outdoor temperature-difference: 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, automatically open in platform at the described window based on indoor/outdoor temperature-difference: described Image semantic classification subset, described Threshold selection subset, described human body segmentation's subset and described sweat extract subset and is integrated on same surface-mounted integrated circuit.
More specifically, automatically open in platform at the described window based on indoor/outdoor temperature-difference, described unlatching platform also comprises: wireless communication interface, is connected with described digital signal processor, for receiving and ambient brightness and the described temperature difference described in wireless transmission.
More specifically, automatically open in platform at the described window based on indoor/outdoor temperature-difference: described wireless communication interface is the one in GPRS mobile communication interface, 3G mobile communication interface and 4G mobile communication interface.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram that the window based on indoor/outdoor temperature-difference illustrated according to an embodiment of the present invention opens platform automatically.
Reference numeral: 1 outdoor temperature sensor; 2 indoor temperature transmitters; 3 window control appliances; 4 digital signal processors
Detailed description of the invention
Below with reference to accompanying drawings the embodiment that the window based on indoor/outdoor temperature-difference of the present invention opens platform is automatically described in detail.
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 indoor/outdoor temperature-difference and the indoor occupant degree of sweating in sleep.
In order to overcome above-mentioned deficiency, the present invention has built a kind of window based on indoor/outdoor temperature-difference and has automatically opened platform, adopt the mode that visual machine controls, even if sleeping indoor occupant is in sleep state, opening and closing and the open degree control of window also can be carried out flexibly according to indoor/outdoor temperature-difference and the indoor occupant degree of sweating.
Fig. 1 is the block diagram that the window based on indoor/outdoor temperature-difference illustrated according to an embodiment of the present invention opens platform automatically, described unlatching platform comprises outdoor temperature sensor, indoor temperature transmitter, window control appliance and digital signal processor, described outdoor temperature sensor is for detecting the interior temperature of inside, bedroom, described outdoor temperature sensor is for detecting the outside temperature of outside, bedroom, described digital signal processor and described outdoor temperature sensor, described indoor temperature transmitter is connected respectively with described window control appliance, calculate the temperature difference between interior temperature and outside temperature, control described window control appliance based on the described temperature difference to realize controlling the unlatching of bedroom window.
Then, the concrete structure continuing automatically to open the window based on indoor/outdoor temperature-difference of the present invention platform is further detailed.
Described unlatching platform also comprises: infra-red heat phase equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain infrared image.
Described unlatching platform also comprises: visual light imaging equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain visible images.
Described unlatching platform also comprises: brightness sensing equipment, is arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom.
Described unlatching platform also comprises: sweat checkout equipment, is arranged on doss position, bedroom, is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for carrying out image procossing to described infrared image or described visible images.
Described unlatching platform 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 unlatching platform also comprises: portable hard drive, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold; Described sweat checkout equipment is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for receiving infrared image or visible images using as detected image.
Described sweat checkout 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, the process of self adaptation recursive filtering, image expansion process, Image erosion process and gray processing process, to obtain gray level image.
Described Threshold selection subset is connected respectively with described portable hard drive 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 target average gray value, the difference obtained square to be multiplied by target area than and background area ratio, the product obtained is as threshold value product, the preliminary election gray threshold selecting threshold value product maximum is 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 portable hard drive, 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 digital signal processor is connected respectively with described outdoor temperature sensor, described indoor temperature transmitter, described infra-red heat phase equipment, described visual light imaging equipment, described room brilliancy sensing equipment, described portable hard drive, described sweat checkout equipment and described window control appliance, when the ambient brightness received is less than or equal to luminance threshold, open described infra-red heat phase equipment and close described visual light imaging equipment, when the ambient brightness received is greater than luminance threshold, closes described infra-red heat phase equipment and open described visual light imaging equipment.
Also there is sweat signal receiving in described digital signal processor, interior temperature is deducted outside temperature to obtain the temperature difference, realizes controlling the unlatching of bedroom window according to the temperature difference.
Wherein, in described sweat checkout equipment, using infrared image before detected image, infrared image is carried out visible ray formula image conversion, using conversion after image as detected image; Described digital signal processor realizes controlling specifically to comprise to the unlatching of bedroom window according to the temperature difference: window control appliance described in described DSP CONTROL, and the aperture making described window control appliance control window is directly proportional to the temperature difference; Described portable hard drive has prestored the temperature difference aperture table of comparisons, the described temperature difference aperture table of comparisons gives the mapping relations of each temperature range and window aperture, and the aperture that described digital signal processor makes described window control appliance control window according to the described temperature difference aperture table of comparisons is directly proportional to the temperature difference.
Alternatively, in described unlatching platform: described digital signal processor is the dsp chip of TI company; 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 on same surface-mounted integrated circuit; Described unlatching platform also comprises: wireless communication interface, is connected with described digital signal processor, for receiving and ambient brightness and the described temperature difference described in wireless transmission; And described wireless communication interface can be the one in GPRS mobile communication interface, 3G mobile communication interface and 4G mobile communication interface.
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.
The window based on indoor/outdoor temperature-difference of the present invention is adopted automatically to open platform, for the uncontrollable technical problem of window when sleep state of bedroom personnel in prior art, introduce the sweat checkout equipment of brightness sensing equipment and indoor and outdoor sensor and employing adaptivenon-uniform sampling threshold value, realize when bedroom personnel sleep soundly according to the Automated condtrol that indoor/outdoor temperature-difference and indoor occupant degree of sweating is carried out bedroom window.
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 (7)
1. the automatic open method of intelligent window, the method comprises:
1) a kind of window based on indoor/outdoor temperature-difference is provided automatically to open platform, described unlatching platform comprises outdoor temperature sensor, indoor temperature transmitter, window control appliance and digital signal processor, described outdoor temperature sensor is for detecting the interior temperature of inside, bedroom, described outdoor temperature sensor is for detecting the outside temperature of outside, bedroom, described digital signal processor and described outdoor temperature sensor, described indoor temperature transmitter is connected respectively with described window control appliance, calculate the temperature difference between interior temperature and outside temperature, control described window control appliance based on the described temperature difference to realize controlling the unlatching of bedroom window,
2) described unlatching platform is used to open.
2. the method for claim 1, is characterized in that, described unlatching platform also comprises:
Infra-red heat phase equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain infrared image;
Visual light imaging equipment, is arranged on indoor, bedroom, for bedroom indoor shot to obtain visible images;
Brightness sensing equipment, is arranged in bedroom, for detecting in real time and exporting the ambient brightness of inside, bedroom;
Sweat checkout equipment, is arranged on doss position, bedroom, is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for carrying out image procossing to described infrared image or described visible images;
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;
Portable hard drive, for prestoring luminance threshold, human body gray threshold scope and presetted pixel amount threshold;
Described sweat checkout equipment is connected respectively with described infra-red heat phase equipment and described visual light imaging equipment, for receiving infrared image or visible images using as detected image, described sweat checkout 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, the process of self adaptation recursive filtering, image expansion process, Image erosion process and gray processing process, to obtain gray level image, described Threshold selection subset is connected respectively with described portable hard drive 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 target average gray value, the difference obtained square to be multiplied by target area than and background area ratio, the product obtained is as threshold value product, the preliminary election gray threshold selecting threshold value product maximum is 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 portable hard drive, 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 digital signal processor is connected respectively with described outdoor temperature sensor, described indoor temperature transmitter, described infra-red heat phase equipment, described visual light imaging equipment, described room brilliancy sensing equipment, described portable hard drive, described sweat checkout equipment and described window control appliance, when the ambient brightness received is less than or equal to luminance threshold, open described infra-red heat phase equipment and close described visual light imaging equipment, when the ambient brightness received is greater than luminance threshold, closes described infra-red heat phase equipment and open described visual light imaging equipment; Also there is sweat signal receiving in described digital signal processor, interior temperature is deducted outside temperature to obtain the temperature difference, realizes controlling the unlatching of bedroom window according to the temperature difference;
Wherein, in described sweat checkout 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, described digital signal processor realizes controlling specifically to comprise to the unlatching of bedroom window according to the temperature difference: window control appliance described in described DSP CONTROL, and the aperture making described window control appliance control window is directly proportional to the temperature difference;
Wherein, described portable hard drive has prestored the temperature difference aperture table of comparisons, the described temperature difference aperture table of comparisons gives the mapping relations of each temperature range and window aperture, and the aperture that described digital signal processor makes described window control appliance control window according to the described temperature difference aperture table of comparisons is directly proportional to the temperature difference.
3. method as claimed in claim 2, is characterized in that: described digital signal processor is the dsp chip of TI company.
4. method as claimed in claim 2, 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 adopts the fpga chip of different model respectively to realize.
5. method as claimed in claim 4, 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 is integrated on same surface-mounted integrated circuit.
6. method as claimed in claim 2, it is characterized in that, described unlatching platform also comprises: wireless communication interface, is connected with described digital signal processor, for receiving and ambient brightness and the described temperature difference described in wireless transmission.
7. method as claimed in claim 6, is characterized in that: described wireless communication interface is the one in GPRS mobile communication interface, 3G mobile communication interface and 4G mobile communication interface.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610414690.4A CN105888436B (en) | 2015-08-28 | 2015-08-28 | A kind of intelligent window automatically turns on method |
| CN201510535409.8A CN105178768B (en) | 2015-08-28 | 2015-08-28 | Intelligent window automatic opening method |
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| CN201510535409.8A CN105178768B (en) | 2015-08-28 | 2015-08-28 | Intelligent window automatic opening method |
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| 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 |
| CN106401364A (en) * | 2016-08-31 | 2017-02-15 | 余姚市西蒙房车电器有限公司 | Intelligent window body driving method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR930010577B1 (en) * | 1990-08-22 | 1993-10-28 | 이용재 | Automatic window |
| CN103362398A (en) * | 2013-08-04 | 2013-10-23 | 孙可欣 | Intelligent automatic window closer |
| CN104481335A (en) * | 2014-12-11 | 2015-04-01 | 上海斐讯数据通信技术有限公司 | Window and method and system for controlling window to being opened and closed |
| CN204418899U (en) * | 2015-02-02 | 2015-06-24 | 沈建 | A kind of control for electric windows |
| CN204552432U (en) * | 2015-04-17 | 2015-08-12 | 淮安金帅门业科技有限公司 | The electric door-window system of automatic control |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101191526B1 (en) * | 2009-12-30 | 2012-10-15 | 연세대학교 산학협력단 | Double window and door having automatic controllable and double window and door control method having the same |
| CN202215106U (en) * | 2011-07-18 | 2012-05-09 | 郑新康 | Intelligent window |
| CN202831984U (en) * | 2012-09-29 | 2013-03-27 | 百年金海安防科技有限公司 | Intelligent safe environment-friendly window |
-
2015
- 2015-08-28 CN CN201610414690.4A patent/CN105888436B/en not_active Expired - Fee Related
- 2015-08-28 CN CN201510535409.8A patent/CN105178768B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR930010577B1 (en) * | 1990-08-22 | 1993-10-28 | 이용재 | Automatic window |
| CN103362398A (en) * | 2013-08-04 | 2013-10-23 | 孙可欣 | Intelligent automatic window closer |
| CN104481335A (en) * | 2014-12-11 | 2015-04-01 | 上海斐讯数据通信技术有限公司 | Window and method and system for controlling window to being opened and closed |
| CN204418899U (en) * | 2015-02-02 | 2015-06-24 | 沈建 | A kind of control for electric windows |
| CN204552432U (en) * | 2015-04-17 | 2015-08-12 | 淮安金帅门业科技有限公司 | The electric door-window system of automatic control |
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| CN106910167A (en) * | 2016-10-25 | 2017-06-30 | 石永录 | Automatic identification system |
| CN107780818A (en) * | 2016-10-25 | 2018-03-09 | 彭晓梅 | The filtering selection platform of image content-based analysis |
| CN106555546A (en) * | 2016-10-25 | 2017-04-05 | 彭晓梅 | The filtering of image content-based analysis selects platform |
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| CN111025708A (en) * | 2019-12-13 | 2020-04-17 | 珠海格力电器股份有限公司 | Control method and control system of smart window |
| CN111779410A (en) * | 2020-06-10 | 2020-10-16 | 孟宪庆 | Metal grid self-adaptive driving system and method |
| CN111726582A (en) * | 2020-06-22 | 2020-09-29 | 曹婷 | Waterproof outdoor monitoring system and method applying numerical analysis |
| CN111726582B (en) * | 2020-06-22 | 2021-12-14 | 广东技安科技有限公司 | Waterproof outdoor monitoring system and method applying numerical analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105888436A (en) | 2016-08-24 |
| CN105888436B (en) | 2017-07-25 |
| CN105178768B (en) | 2017-01-11 |
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