CN105239876A - Intelligent opening control method for bedroom window - Google Patents

Intelligent opening control method for bedroom window Download PDF

Info

Publication number
CN105239876A
CN105239876A CN201510535044.9A CN201510535044A CN105239876A CN 105239876 A CN105239876 A CN 105239876A CN 201510535044 A CN201510535044 A CN 201510535044A CN 105239876 A CN105239876 A CN 105239876A
Authority
CN
China
Prior art keywords
image
processing equipment
subset
threshold
window
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510535044.9A
Other languages
Chinese (zh)
Other versions
CN105239876B (en
Inventor
任红霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Austrian Technology Co., Ltd.
Original Assignee
任红霞
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 任红霞 filed Critical 任红霞
Priority to CN201510535044.9A priority Critical patent/CN105239876B/en
Publication of CN105239876A publication Critical patent/CN105239876A/en
Application granted granted Critical
Publication of CN105239876B publication Critical patent/CN105239876B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E05LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05FDEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00Power-operated mechanisms for wings
    • E05F15/70Power-operated mechanisms for wings with automatic actuation
    • EFIXED CONSTRUCTIONS
    • E05LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05FDEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00Power-operated mechanisms for wings
    • E05F15/70Power-operated mechanisms for wings with automatic actuation
    • E05F15/71Power-operated mechanisms for wings with automatic actuation responsive to temperature changes, rain, wind or noise

Abstract

The invention relates to an intelligent opening control method for a bedroom window. The method includes the steps that (1) an intelligent opening control system for the bedroom window is provided and comprises an infrared thermal phase meter, a visible light camera, image processing equipment, a window opening mechanism and embedded processing equipment; 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; and (2) control is conducted through the control system.

Description

The intelligent method for controlling opening and closing of a kind of bedroom window
Technical field
The present invention relates to Smart Home field, particularly relate to the intelligent method for controlling opening and closing 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 method for controlling opening and closing 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 method for controlling opening and closing 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 method for controlling opening and closing of a kind of bedroom window, the method comprises: 1) provide a kind of bedroom window intelligent opening control system, 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) use described control system to control.
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 method for controlling opening and closing of bedroom window, the method comprises:
1) provide a kind of bedroom window intelligent opening control system, 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) use described control system to control.
2. the method for claim 1, 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. method as claimed in claim 2, 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. 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 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 is integrated in same fpga chip.
6. method as claimed in claim 2, 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.
CN201510535044.9A 2015-08-27 2015-08-27 Intelligent opening control method for bedroom window Active CN105239876B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510535044.9A CN105239876B (en) 2015-08-27 2015-08-27 Intelligent opening control method for bedroom window

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510535044.9A CN105239876B (en) 2015-08-27 2015-08-27 Intelligent opening control method for bedroom window
CN201610415944.4A CN106088908B (en) 2015-08-27 2015-08-27 A kind of intelligent method for controlling opening and closing of bedroom window

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN201610415944.4A Division CN106088908B (en) 2015-08-27 2015-08-27 A kind of intelligent method for controlling opening and closing of bedroom window

Publications (2)

Publication Number Publication Date
CN105239876A true CN105239876A (en) 2016-01-13
CN105239876B CN105239876B (en) 2017-04-26

Family

ID=55037673

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201610415944.4A Active CN106088908B (en) 2015-08-27 2015-08-27 A kind of intelligent method for controlling opening and closing of bedroom window
CN201510535044.9A Active CN105239876B (en) 2015-08-27 2015-08-27 Intelligent opening control method for bedroom window

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN201610415944.4A Active CN106088908B (en) 2015-08-27 2015-08-27 A kind of intelligent method for controlling opening and closing of bedroom window

Country Status (1)

Country Link
CN (2) CN106088908B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN106408528A (en) * 2016-08-31 2017-02-15 余姚市泗门印刷厂 Gamma correction-based graying treatment system
CN106406164A (en) * 2016-08-31 2017-02-15 宁波优而雅电器有限公司 Intelligent window framework control method
CN106437401A (en) * 2016-08-31 2017-02-22 余姚市西蒙房车电器有限公司 Intelligent and integrated window body driving system
WO2017036315A1 (en) * 2015-08-28 2017-03-09 李淑兰 Intelligent-detection operation platform for bedroom window opening degree at night
CN106910167A (en) * 2016-10-25 2017-06-30 石永录 Automatic identification system
CN107013125A (en) * 2017-05-23 2017-08-04 孙霞 Security window control platform based on image procossing
CN107561965A (en) * 2016-06-30 2018-01-09 浙江大丰实业股份有限公司 Arenas suspension rod safety control platform
CN108931934A (en) * 2018-02-08 2018-12-04 王英华 Automation control platform based on wireless communication

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106968552B (en) * 2017-05-23 2018-02-23 中原工学院 Security window control method based on image procossing
CN108734678A (en) * 2018-05-22 2018-11-02 任阿毛 Dining table closure of openings control system
CN109915924B (en) * 2018-05-31 2020-11-24 徐州云创物业服务有限公司 Safety protection type electric heater
CN109915931B (en) * 2018-07-25 2021-02-26 临海市小核桃工业设计服务部 Expanded steel-aluminum composite heating pipe
CN109915932A (en) * 2018-07-26 2019-06-21 永康市蜂蚁科技有限公司 Radiator heating mode control system
CN109918980B (en) * 2018-07-26 2021-05-07 陕西中昊佳成信息科技有限公司 PH value on-site measuring system for water heating pipe
CN110006147B (en) * 2018-07-27 2021-01-05 江苏赛诚极云网络科技有限公司 Power supply management mechanism for air conditioner control circuit board

Citations (7)

* Cited by examiner, † Cited by third party
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
CN103422771A (en) * 2013-07-30 2013-12-04 南昌大学 Home security intelligent window
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
CN104167072A (en) * 2014-07-21 2014-11-26 苏州昊枫环保科技有限公司 Door and window monitoring system with infrared detection and image comparison function
CN204370975U (en) * 2014-11-27 2015-06-03 成都合瑞辰科技有限公司 A kind of intelligent environment protection flat-open door and window based on Internet of Things

Patent Citations (7)

* Cited by examiner, † Cited by third party
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
CN103422771A (en) * 2013-07-30 2013-12-04 南昌大学 Home security intelligent window
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
CN104167072A (en) * 2014-07-21 2014-11-26 苏州昊枫环保科技有限公司 Door and window monitoring system with infrared detection and image comparison function
CN204370975U (en) * 2014-11-27 2015-06-03 成都合瑞辰科技有限公司 A kind of intelligent environment protection flat-open door and window based on Internet of Things

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107849891A (en) * 2015-08-28 2018-03-27 李淑兰 The night bedroom window aperture operating platform of Intelligent Measurement
WO2017036315A1 (en) * 2015-08-28 2017-03-09 李淑兰 Intelligent-detection operation platform for bedroom window opening degree at night
CN107561965A (en) * 2016-06-30 2018-01-09 浙江大丰实业股份有限公司 Arenas suspension rod safety control platform
CN106408528A (en) * 2016-08-31 2017-02-15 余姚市泗门印刷厂 Gamma correction-based graying treatment system
CN106437401A (en) * 2016-08-31 2017-02-22 余姚市西蒙房车电器有限公司 Intelligent and integrated window body driving system
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
CN106437401B (en) * 2016-08-31 2017-12-22 宁波法米莱美妆工具有限公司 Intelligent integrated forms drive system
CN106406164A (en) * 2016-08-31 2017-02-15 宁波优而雅电器有限公司 Intelligent window framework control method
CN106910167A (en) * 2016-10-25 2017-06-30 石永录 Automatic identification system
CN107013125A (en) * 2017-05-23 2017-08-04 孙霞 Security window control platform based on image procossing
CN107013125B (en) * 2017-05-23 2018-10-30 横琴畅享科技有限公司 Security window control platform based on image procossing
CN108931934A (en) * 2018-02-08 2018-12-04 王英华 Automation control platform based on wireless communication
CN108931934B (en) * 2018-02-08 2020-11-17 新昌县杨辉网络科技有限公司 Window opening control platform based on rainfall analysis

Also Published As

Publication number Publication date
CN106088908A (en) 2016-11-09
CN106088908B (en) 2017-07-28
CN105239876B (en) 2017-04-26

Similar Documents

Publication Publication Date Title
Aftab et al. Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system
US8933958B2 (en) Enhanced user interface elements in ambient light
Du et al. Building microclimate and summer thermal comfort in free-running buildings with diverse spaces: A Chinese vernacular house case
Jakubiec et al. DIVA 2.0: Integrating daylight and thermal simulations using Rhinoceros 3D, Daysim and EnergyPlus
CN106196509B (en) Air-conditioning sleep pattern control method and system
CN102572285B (en) Day and night mode switching method of CCD camera
CN101856193B (en) Sunshade intelligent control system and sunshade intelligent control platform
Van Moeseke et al. Impact of control rules on the efficiency of shading devices and free cooling for office buildings
CN104534616B (en) The control method of air-conditioner and air-conditioner
CN104990200B (en) A kind of air conditioning control method and air-conditioning
CN104756118A (en) Expert system for prediction of changes to local environment
CN103727639B (en) Central air-conditioning energy-saving system based on body and method
CN102158653A (en) Device and method for acquiring digital image with high dynamic range in real time
CN103929631B (en) Use white balance adjustment method and the device thereof of scene detection
CN103499138B (en) A kind of volumed space building temperature control equipment and control method
WO2013020970A1 (en) User status- and user behavior-based control system and method for building-installation systems and components
CN103533267B (en) Pixel based on column grade ADC divides and merges imaging sensor and data transmission method
US20110151766A1 (en) Residential integrated ventilation energy controller
US20140292807A1 (en) Environment actuation by one or more augmented reality elements
CN105444336A (en) Air conditioner control method and air conditioner
CN101957982A (en) Real-time infrared image processing system suitable for high frame rate and large array infrared detector
CN201096391Y (en) Control device for controlling air conditioner switch-on and off and simultaneously controlling sash ventilation
CN203732982U (en) Smart home control system
CN106403147B (en) Control method, control system and the control device of air conditioner
CN201813480U (en) Intelligent video processing device based on digital signal processor and field programmable gate array ((DSP+FPGA)

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
CB03 Change of inventor or designer information

Inventor after: Yan Zhi

Inventor after: Xiao Changke

Inventor after: Teng Weijie

Inventor after: Liu Mei

Inventor after: Lei Kaizhun

Inventor after: Guo Miaoli

Inventor after: Chen Yonghua

Inventor before: Ren Hongxia

CB03 Change of inventor or designer information
TA01 Transfer of patent application right

Effective date of registration: 20170323

Address after: 325000 Zhejiang city of Wenzhou Province designated Longqiao Road No. 398 building fifth aulier floors

Applicant after: Austrian Technology Co., Ltd.

Address before: 054000 Xingtai Province, the west of the bridge in the city of Hebei Road No. 32

Applicant before: Ren Hongxia

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant