CN110319545A - Environment management method and device and air conditioner - Google Patents
Environment management method and device and air conditioner Download PDFInfo
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- CN110319545A CN110319545A CN201910599078.2A CN201910599078A CN110319545A CN 110319545 A CN110319545 A CN 110319545A CN 201910599078 A CN201910599078 A CN 201910599078A CN 110319545 A CN110319545 A CN 110319545A
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- 210000001508 eye Anatomy 0.000 claims description 54
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Fluid Mechanics (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The application provides an environment management method, an environment management device and an air conditioner, wherein the method comprises the following steps: judging whether a user enters a preset mode or not; after a user enters a preset mode, adjusting the color temperature and/or the illumination intensity of a light source to a preset color temperature and/or a preset illumination intensity; after the user enters a preset mode, monitoring the fatigue degree of the user, and adjusting the operating parameters of the air conditioner according to the fatigue degree. After a user enters a working mode or a learning mode, the color temperature and the illumination intensity are adjusted to the color temperature and the illumination intensity suitable for working and learning, so that an optical environment capable of improving the working and learning efficiency of the user is created, and the operation parameters of the air conditioner are adjusted according to the fatigue degree when the user feels fatigue, so that the fatigue feeling of the user is eliminated, and the working and learning efficiency is improved.
Description
Technical field
This application involves field of air conditioning, in particular to environmental management technique, device and air-conditioning.
Background technique
With being gradually rooted in the hearts of the people for environmental protection concept, people also increasingly pay attention to Indoor Environmental Quality accordingly.
Indoor Environmental Quality is the concept proposed by American National residential security and health research, refer to indoor air quality,
The factors such as comfort level, noise, illumination, social psychological behavior, operating pressure, workspace background are to indoor occupant physiology and psychologically
Independent and comprehensive effect.Influence of the Indoor Environmental Quality to people, which is divided into, to be directly affected and influences indirectly.It directly affects and refers to
The direct factor of environment influences to refer to that indirect factor promotes environment to generate personnel indirectly to human health and comfortable directly effect
Positive or negative consequence.
The raising of study and work efficiency depends on environmental parameter, in the prior art, when user carries out study and work
When be often absorbed in studies and work without the environmental parameter of energy de-regulation working environment, cause the environmental parameter of user with
The study and work state of user mismatches, and causes user job and learning efficiency low.
Therefore, improving environment when user job and study to improve working and learning efficiency is that this field is urgently to be resolved
The problem of.
Summary of the invention
This application provides a kind of environmental management technique, device and air-conditionings, ring when for improving user job and study
Border, to improve working and learning efficiency.
To solve the above-mentioned problems, as the one aspect of the application, a kind of environmental management technique is provided, comprising:
Judge whether user enters preset mode；
After user enters preset mode, the colour temperature of light source and/or intensity of illumination are adjusted to preset color temperature and/or preset
Intensity of illumination；
After user enters preset mode, the degree of fatigue of user is monitored, the fortune of air-conditioning is adjusted according to the degree of fatigue
Row parameter.
Optionally, the degree of fatigue of user is monitored, comprising:
The video image for acquiring user, identifies the human face region of user；
Eye-closing period, blink frequency of the user in present period are determined according to the movement of human face region in the video image
Rate beats and breathes out number and/or frequency of nodding；
According to the eye-closing period of present period, frequency of wink, beat the tired journey breathed out number and/or frequency of nodding and determine user
Degree.
Optionally, after the video image of acquisition user, before the human face region of identification user, further includes:
Noise-removed filtering processing is carried out to collected video image using adaptive median filter algorithm；
It chooses adaptive threshold light and illumination equilibrium treatment is carried out to partially dark and partially bright video image according to equalization.
Optionally, the eye-closing period and/or blink frequency of user are determined according to the movement of human face region in the video image
Rate, comprising:
The ocular in the human face region is determined according to face organ's geometry distribution rule；
Self-adaption binaryzation is carried out to the ocular based on big law；
By vertical integral projection method judge user whether wearing spectacles；
If user's wearing spectacles, shape is opened and closed using the eyes based on histogram partial statistics characteristic algorithm identification user
State；
If the non-wearing spectacles of user, ocular is directly detected using the human eye classifier based on Adaboost algorithm,
To eyes approximation subtended angle is calculated after ocular binaryzation to identify the eyes open and-shut mode of user；
The eye-closing period and/or blink of user are determined according to the variation of the eyes open and-shut mode of user in shown video image
Frequency.
Optionally, determine that beating for user breathes out number according to the movement of human face region in the video image, comprising:
Mouth region is positioned according to geometry distribution rule of the mouth in the human face region；
Given threshold carries out the area that binaryzation obtains mouth region to the video image；
Using Sobel edge detection method extract mouth edge obtain mouth perimeter and calculate mouth like circularity；
It is described like circularity be greater than it is default like circularity when determine that mouth opens, it is described be not more than like circularity preset like circularity
When determine mouth be closed；
Changed according to the open and-shut mode of user's mouth in the video image and determines that beating for user breathes out number.
Optionally, according to the eye-closing period at current time, frequency of wink, beat and breathe out number and/or frequency of nodding and determine user
Degree of fatigue, comprising:
If the eye-closing period is not more than the first duration threshold value, it is determined that user is in not fatigue state；
And/or
If the eye-closing period is greater than the first duration threshold value, but is not more than the second duration threshold value, while user beats and breathes out number
It is zero, it is determined that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if the eye-closing period is greater than the second duration threshold value, alternatively, if the eye closing
Duration is greater than the first duration threshold value and less than the second duration threshold value, while user beats and breathes out number greater than zero and no more than first number
Threshold value, it is determined that user is in moderate fatigue；
And/or
If the eye-closing period is greater than the second duration and frequency of nodding is not more than first frequency threshold value, it is determined that user is in
Severe fatigue, alternatively, if user's beats to breathe out number and be greater than the first frequency threshold value and frequency of nodding and be not more than first frequency threshold value,
Determine that user is in severe fatigue；
And/or
If the frequency of nodding of user is greater than first frequency threshold value, it is determined that user is in extremely tired；
Wherein, the first duration threshold value is less than the second duration threshold value.
Optionally, according to the eye-closing period at current time, frequency of wink, beat and breathe out number and/or frequency of nodding and determine user
Degree of fatigue, comprising:
If frequency of wink is not less than the first frequency of wink threshold value, it is determined that user is in not fatigue state；
And/or
If frequency of wink is not less than the second frequency of wink threshold value, while user beats Kazakhstan less than the first frequency of wink threshold value
Number is zero, it is determined that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if frequency of wink is less than the second frequency of wink threshold value, alternatively, if frequency of wink
Less than the first frequency of wink threshold value and it is not less than the second frequency of wink threshold value, while user beats and breathes out number and be greater than zero and be not more than the
One frequency threshold value, it is determined that user is in moderate fatigue；
And/or
If frequency of wink is less than the second frequency of wink threshold value and frequency of nodding is not more than first frequency threshold value, it is determined that user
In severe fatigue, alternatively, if user's beats to breathe out number and be greater than the first frequency threshold value and frequency of nodding and is not more than first frequency threshold
Value, it is determined that user is in severe fatigue；
And/or
If the frequency of nodding of user is greater than first frequency threshold value, and frequency of wink is less than third frequency of wink threshold value, then really
Determine user and is in extremely tired；
Wherein, the first frequency of wink threshold value is greater than the second frequency of wink threshold value, and the second frequency of wink threshold value is blinked greater than third
Eye frequency threshold.
Optionally, when user is in not fatigue state, air-conditioning is run using preset default parameters, alternatively, according to working as
Preceding indoor environmental parameter adjusts the operating parameter of air-conditioning；
And/or when user is in slight fatigue, air-conditioning opens local relief's mode on the basis of default parameters, it will
Air conditioning exhausting is blowed to user region；
And/or when user is in moderate fatigue, it is pre- that target temperature is reduced by first on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in severe fatigue, it is pre- that target temperature is reduced by second on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in extremely tired, prompting message is issued, remind user's rest；
Wherein, degree of fatigue is tired and extremely tired including not fatigue state, slight fatigue, moderate fatigue, severe, and second
Preset value is greater than the first preset value.
The application also proposes a kind of environmental management device, comprising:
Judging unit, for judging whether user enters preset mode；
Light source control unit, for after user enters preset mode, the colour temperature of light source and/or intensity of illumination to be adjusted to
The colour temperature and/or intensity of illumination of preset suitable services study；
Fatigue monitoring unit, for after user enters preset mode, monitoring the degree of fatigue of user；
Conditioning control unit, for adjusting the operating parameter of air-conditioning according to the degree of fatigue.
The application also proposes a kind of air-conditioning, any environmental management device proposed including the application.
Present applicant proposes a kind of environmental management technique, device and air-conditionings, enter operating mode or mode of learning in user
Afterwards, colour temperature and intensity of illumination are adjusted to the preset color temperature and default intensity of illumination of suitable services study, it can to build
The optical environment of user job and learning efficiency is improved, and adjusts the fortune of air-conditioning according to degree of fatigue when user feels fatigue
Row parameter improves work and study efficiency to eliminate the feeling of fatigue of user.
Detailed description of the invention
Fig. 1 is a kind of flow chart of environmental management technique in the embodiment of the present application 1；
Fig. 2 is a kind of flow chart of environmental management technique in the embodiment of the present application 2；
Fig. 3 is the flow chart that human fatigue degree is determined in the embodiment of the present application 2；
Fig. 4 is the composition figure of environment managing device in the embodiment of the present application 3.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Covering non-exclusive includes to be not necessarily limited to for example, containing the process, method of a series of steps or units, device, product or device
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that device is intrinsic.
Embodiment 1:
In the prior art, user is when carrying out working and learning, user do not have energy to environmental parameter (such as illumination,
Humidity and temperature) it is adjusted, during working and learning, user can gradually feel fatigue, lead to working and learning efficiency
It reduces.Present inventor has found after study, by parameters such as illumination, temperature and humidities of environment where adjusting user,
Efficiency of the user in working and learning can be improved, reduce the feeling of fatigue of user, relieve fatigue degree.
Based on above-mentioned discovery, the application proposes a kind of environmental management technique, as shown in Figure 1, environmental management technique, comprising:
S11: judge whether user enters preset mode；
Specifically, the preset mode in the application is operating mode or mode of learning, judge whether user enters default mould
Formula is specially to judge whether user opens the preset mode of air-conditioning and light source, when user's selection enters operating mode or mode of learning
When, show that user needs that it is pre- to determine whether user enters by improving environmental parameter to improve working efficiency or learning efficiency
It is manually selected if the method for mode can be by user, such as preset mode can be set in the air-conditioning of user region,
It is chosen whether to enter preset mode by the remote controler of air-conditioning by user.Alternatively, can be set on the desk lamp in user job room
Mode switch is set, the mode switch that user opens on desk lamp shows to enter preset mode, can also pass through net by the mobile phone of user
Network connects air-conditioning and light source, using unlatching preset mode in cell phone application and informs air-conditioning and light source.
S12: after user enters preset mode, by the colour temperature of light source and/or intensity of illumination be adjusted to preset color temperature and/or
Default intensity of illumination；
Specifically, preset color temperature and default intensity of illumination are the colour temperature and intensity of illumination of appropriate user working and learning, this
The light source at place can be the desk lamp of user, after user enters preset mode, by the colour temperature of light source when default user opens desk lamp
And/or intensity of illumination is adjusted to preset value, to protect the eyes of user, and can be with by suitable colour temperature and intensity of illumination
The feeling of fatigue for reducing user's eye, for different users, preset color temperature and/or default intensity of illumination can be different, can be with
By user's manual setting, the default value of light source is selected if user is not provided with, by research the inventor of the present application discovered that
Under normal circumstances when intensity of illumination be 750lx, colour temperature be 4000k when people study and work efficiency highest, therefore with the value work
For the preset colour temperature and preset intensity of illumination of default, to meet the needs of most of user.
S13: after user enters preset mode, monitoring the degree of fatigue of user, and the fortune of air-conditioning is adjusted according to degree of fatigue
Row parameter.
Specifically, after user just enters preset mode, the operating parameter for the air-conditioning that can be selected according to user oneself
Operation is also possible to obtain the temperature humidity of environment at this time automatically, and humidity determines the fortune of suitable air-conditioning according to the temperature of the environment
Row parameter, or can be using the default parameters prestored, default parameters is the optimum user job counted by big data
With the operating parameter of study, when winter etc. needing to heat, default parameters is that heating is set as 28 DEG C, and high wind file, wind deflector exists
Level puts down positive and negative 30 ° or so progress swing flaps, swing flap blade or so swing flap, and humidification humid control is 50%~60%, fresh air volume
According to 30m3/h. people.When summer etc. needing to freeze, default parameters is that refrigeration is set as 26 DEG C, and superpower shelves, wind deflector is in level
It is that swing flap is carried out within the scope of 45 ° with downward angle, left and right swing flap blade opens left and right swing flap mode, humidifies humid control 40%
~50%, fresh air volume is according to 30m3/h. people.Start the degree of fatigue of detection user after user enters preset mode, usually
User is in untired state of regaining consciousness when just entering preset mode, therefore can be in the degree of fatigue for determining user
It first obtains user and has just enter into preset mode physical condition interior for a period of time, then determined further according to the physical condition of active user
The current degree of fatigue of user, degree of fatigue show the tired degree of user's body, and the degree of fatigue of user is higher, and concentrated force is got over
It is low, it is more difficult to concentrate on carrying out working and learning, when user is more tired, body temperature can slightly rise usual situation, therefore
The leaving air temp of air-conditioning can be reduced suitably to help user to refresh oneself and radiate.Degree of fatigue includes not tired under default situations
Labor, slight fatigue, moderate fatigue, severe fatigue and extremely tired, the operating parameter difference of air-conditioning, fortune under different degree of fatigues
Row parameter can specifically include leaving air temp, air-out humidity, air outlet angle, go out wind velocity and swing flap range etc., empty by adjusting
The operating parameter of tune is so as to improve the environment of user region, so that environment temperature, humidity etc. where user become suitable
The environment of suitable user job and study, because the operating parameter of air-conditioning is with reference to the degree of fatigue of user, it is possible to certain
The tired degree of user is reduced in degree.It can be pre- on the offensive by user for operating parameter of the air-conditioning under user's different fatigue degree
Dynamic setting.
The environmental management technique that the application proposes, after user enters operating mode or mode of learning, by colour temperature and illumination
The colour temperature and intensity of illumination that intensity adjustment to suitable services learn can be improved user job and learning efficiency to build
Optical environment, and when user feels fatigue according to the operating parameter of degree of fatigue adjusting air-conditioning, so that indoor environment
In can eliminate fatigue sense, to improve work and study efficiency.
In some alternative embodiments, the management method that the application proposes further include: broadcast according to the degree of fatigue of user
It puts the music on, such as in the case where user is not tired or slight tired, plays the music releived, and increase in human fatigue degree
In the case where play go with a swing or heavy metal strike music refresh oneself.
In some alternative embodiments, the management method that the application proposes further include: detection user enters preset mode
Afterwards, duration is continued working in the case where no rest, is concentrated according to duration, degree of fatigue and the attention of continuing working
Feature determines the time out point and pause duration of user, reminds user's rest in time out point, the time span of rest
Equal to pause duration.People work after can not continuous work cross for a long time that (common people can only intensive work 40-60 point
Clock), the time span that people can persistently focus under different degree of fatigues is exactly that attention concentrates feature.Citing and
Speech: user can focus on work 40 minutes under not fatigue state, and the work that can only focus in slight fatigue
Make 30 minutes, therefore under not fatigue state, user job reminds the user to rest 5 minutes after forty minutes (i.e. time out point)
(pause duration), reminds user to rest 7 minutes after being then work 30 minutes in slight fatigue, and user then suspend by fatigue
Duration is longer.If not suspending duration shorter than in the duration of time out point user rest, duration clearing is continued working, is needed
It is noted that user enough suspends duration in no rest, then needs to be adjusted according to the pause duration of user's actual rest next
Pause duration (such as increasing the pause duration rested next time) when secondary rest.
In some alternative embodiments, the degree of fatigue of user is monitored, comprising:
The video image for acquiring user, identifies the human face region of user；
According in video image human face region movement determine user in the eye-closing period of present period, frequency of wink, beat
Breathe out number and/or frequency of nodding；
According to the eye-closing period of present period, frequency of wink, beat the tired journey breathed out number and/or frequency of nodding and determine user
Degree.
Specifically, in the present embodiment, acquiring video image when user job or study, each video image in real time
Including multiframe picture, the human face region in picture is determined using image recognition technology, user is in working and learning, with fatigue
The increase of degree, user can automatic extension closed-eye time, frequent blinking can also yawn when excessively tired, and head can not
It is consciously sagging to nod.Closed-eye time refer to user open entirely in blink from eyes to closure again to open entirely this process when
It is long.The degree of fatigue of user can be determined by detecting These characteristics.Image collecting device can be set on desk lamp, because of platform
Position of the lamp apart from user is nearest, is best able to clearly take the video image of user, especially only begins a theatrical performance lamp work in user
When making.The degree of fatigue of the video image identification user of desk lamp captured in real-time user, is then sent to the controller of air-conditioning, by sky
The controller of tune controls the operating parameter of air-conditioning according to the degree of fatigue of user.
In some alternative embodiments, acquisition user video image after, identification user human face region it
Before, further includes:
Noise-removed filtering processing is carried out to collected video image using adaptive median filter algorithm；
It chooses adaptive threshold light and illumination equilibrium treatment is carried out to partially dark and partially bright video image according to equalization.
Specifically, the possible pixel of the video image of acquisition is bad or video is excessively dark excessively bright, cause to carry out face to image
Accuracy rate when identification reduces, therefore the application has carried out noise-removed filtering processing and illumination equilibrium treatment, to reduce noise
The adverse effect that image recognition is generated with light factor.The brightness and preset qualified brightness of measurement picture entirety can be passed through
Range comparison determines whether picture is partially bright or partially dark.
In some alternative embodiments, the eye-closing period of user is determined according to the movement of human face region in video image
And/or frequency of wink, comprising:
The ocular in human face region is determined according to face organ's geometry distribution rule；
Self-adaption binaryzation is carried out to ocular based on big law；
By vertical integral projection method judge user whether wearing spectacles；
If user's wearing spectacles, shape is opened and closed using the eyes based on histogram partial statistics characteristic algorithm identification user
State；
If the non-wearing spectacles of user, ocular is directly detected using the human eye classifier based on Adaboost algorithm,
To eyes approximation subtended angle is calculated after ocular binaryzation to identify the eyes open and-shut mode of user；
The eye-closing period and/or blink of user are determined according to the variation of the eyes open and-shut mode of user in shown video image
Frequency.
Specifically, Face datection is the premise of recognition of face, it is to determine that user's is tired by Face datection in the present embodiment
Labor degree, so needing first to identify the human face region in video image, when identifying personnel area, using based on Haar feature
Adaboost classifier method identifies the human face region in video image, and then the distribution rule according to human eye in human face region is first
It determines the approximate location of ocular, then binaryzation is carried out to ocular using big law (i.e. maximum variance between clusters), it should
Grey level histogram of the method based on image is selected using the inter-class variance maximum or variance within clusters minimum of target and background as threshold value
Criterion, cardinal principle is for a frame image, it is assumed that t be prospect and background segmentation threshold, if prospect points account for image ratio
Example is w0, and gray average u0, it is w1, gray average u1 that background points, which account for image scaled, then total gray average of image is u
=w0*u0+w1*u1, setup parameter g=w0* (u0-u)2+w1*(u1-u)2, it is exactly threshold value, base when the value maximum of g is corresponding t
Binaryzation is carried out to video image in the threshold value.Then because user's wearing spectacles will affect the judgement to eye state,
Need to judge user whether wearing spectacles, to after self-adaption binaryzation image carry out vertical integral projection, either framed eye
Mirror, no-frame glasses or half frame glasses, common ground is that there are spectacle bridge structures for the upper area of the bridge of the nose between two, by doing
Vertical integral projection discovery, when user does not have wearing spectacles, there are two independent connected domains in vertical integral projection figure, and
There was only apparent 1 independent communication domain in vertical integral projection figure in user's wear a pair of spectacles, therefore can be by adaptive two
Image after value carries out vertical integral projection and determines whether user has worn glasses.Then identify that the state of eyes judges user
Whether close one's eyes, and the time of combination video record determines the eye-closing period and frequency of wink of user.
In some alternative embodiments, determine that beating for user breathes out number according to the movement of human face region in video image,
Include:
Mouth region is positioned according to geometry distribution rule of the mouth in human face region；
Given threshold carries out the area that binaryzation obtains mouth region to video image；
Using Sobel edge detection method extract mouth edge obtain mouth perimeter and calculate mouth like circularity；
It determines that mouth is opened when being greater than and presetting like circularity like circularity, is determining mouth no more than when presetting like circularity like circularity
Portion's closure；
Changed according to the open and-shut mode of user's mouth in video image and determines that beating for user breathes out number.
Specifically, it is similar when to the eyes open and-shut mode for judging user, it needs first true according to the distribution rule of facial face
Determine mouth region, then chooses suitable threshold value and image binaryzation is calculated into connected domain area, then use Sobel edge detection
Method extracts mouth edge, calculates rim circumference, finally calculates and judges mouth opening or closed state like circularity.More specifically,
After positioning mouth region by geometry distribution rule and carrying out binaryzation, corrosion treatment is carried out to the image after binaryzation, is used
The image of each of structural element scan image pixel, the binaryzation covered with structural element with it carries out with operation,
If being all 1, the pixel is assigned 255 (whites) in the image of binaryzation, otherwise assignment 0 (black), then to binaryzation
Image carry out connected component labeling, the size in more each region selects the maximum region of area as mouth connected domain,
The area in the region is the area that mouth region is shown as by the white pixel count table in region, then carries out edge detection,
Determine mouth perimeter, and according to the perimeter of mouth and the area of mouth region determine mouth like circularity, be equal to 4 π S/ like circularity
P2, wherein S is the area of mouth region, and P is the perimeter of mouth region, shows that the shape of mouth is closer closer to 1 like circularity
Circle, the degree for representing mouth opening is bigger, default like circularity by setting, and judges that mouth is to open or be closed.Further according to
The variation of user's mouth opening and closing determines whether user beats Kazakhstan, and counting user present period (such as before N minutes to
Current time) in beat breathe out number.When user yawns, mouth can open the state that near circular is presented, and work as and use
Family mouth close or it is pico- open rather than beat when breathe out, the non-circular state of mouth presentation is low like circularity, passes through mouth
Like circularity so that it is determined that whether user beats breathes out, rather than only according to the open and close of usual situation mouth because with
Family also can open one's mouth and shut up for reasons such as breathings, but when non-yawn, mouth is in usually working and learning
Flat opening, it is low like circularity, therefore it should not be included in the number yawned, the application, which passes through, to be used like circularity to accurately determine
Whether yawning at family.
In this application, according to degree of fatigue from gently successively include to weight not fatigue state, slight fatigue, moderate fatigue and
Severe fatigue.In some alternative embodiments, according to the eye-closing period at current time, frequency of wink, beat and breathe out number and/or point
Head frequency determines the degree of fatigue of user, comprising:
If eye-closing period is not more than the first duration threshold value, it is determined that user is in not fatigue state；
Specifically, user is in fatigue, due to being that eyes are used for a long time, so react fatigue state at first is exactly eye
Eyeball is embodied in eye-closing period increase, when user's eye-closing period does not increase to the first duration threshold value, shows user at this time also not
Tired, the first duration threshold value can be average eye-closing period under user's off working state, optional first duration threshold value be user into
The average eye-closing period in preceding N minutes after entering preset mode.
And/or if eye-closing period is greater than the first duration threshold value, but it is not more than the second duration threshold value, while user beats Kazakhstan time
Number is zero, it is determined that user is in slight fatigue；
Specifically, show that user has already appeared tired performance at this time when eye-closing period increases to greater than the first duration threshold value,
But increased eye-closing period is not too long, and user not yet yawns, and shows that user is only fatigue just occurred at this time
Performance, for slight fatigue.
And/or determine that user is in moderate fatigue if eye-closing period is greater than the second duration threshold value, alternatively, if when closing one's eyes
Length is greater than the first duration threshold value and less than the second duration threshold value, while user beats and breathes out number greater than zero and no more than first several threshold
Value, it is determined that user is in moderate fatigue；
Specifically, user has had already appeared the label yawned at this time or eye-closing period has rised appreciably to big
In the second duration threshold value, wherein the first duration threshold value shows that user further feels tired less than the second duration threshold value.
And/or if eye-closing period is greater than the second duration and frequency of nodding is not more than first frequency threshold value, it is determined that at user
In severe fatigue, alternatively, if user's beats to breathe out number and be greater than the first frequency threshold value and frequency of nodding and be not more than first frequency threshold value,
Then determine that user is in severe fatigue；
Specifically, very tired performance obviously occurs in user at this time, yawning repeatedly is that is, tired in severe
Labor state.
And/or if the frequency of nodding of user is greater than first frequency threshold value, it is determined that user is in extremely tired；Usually use
Family only just will appear the case where nodding in the case where extremely feeling sleepy.
Because eye-closing period is with frequency of wink there are correlation, then eye-closing period is longer for fatigue by user, frequency of wink
It is lower, therefore in some alternative embodiments, according to the eye-closing period at current time, frequency of wink, beats and breathe out number and/or point
Head frequency determines the degree of fatigue of user, comprising:
If the frequency of wink is not less than the first frequency of wink threshold value, it is determined that user is in not fatigue state；First
Frequency of wink threshold value can be user it is usually not tired when frequency of wink average value.
And/or
If the frequency of wink is not less than the second frequency of wink threshold value, while user less than the first frequency of wink threshold value
Beating and breathing out number is zero, it is determined that user is in slight fatigue；Wherein, the first frequency of wink threshold value is greater than the second frequency of wink threshold
Value, the frequency of wink of user reduces at this time, illustrates that user gradually feels fatigue, but user not yet starts to yawn, therefore is in
Slight fatigue.
And/or determine that user is in moderate fatigue if the frequency of wink is less than the second frequency of wink threshold value, alternatively,
If the frequency of wink less than the first frequency of wink threshold value and be not less than the second frequency of wink threshold value, while user beat Kazakhstan number it is big
In zero and being not more than the first frequency threshold value, it is determined that it is tired that user be in moderate；
And/or if the frequency of wink is less than the second frequency of wink threshold value and frequency of nodding is not more than first frequency threshold value,
Then determine that user be in severe fatigue, alternatively, if user beat Kazakhstan number greater than the first frequency threshold value and frequency of nodding is not more than
First frequency threshold value, it is determined that user is in severe fatigue；
And/or if the frequency of nodding of user is greater than first frequency threshold value, and frequency of wink is less than third frequency of wink threshold
Value, it is determined that user is in extremely tired；Second frequency of wink threshold value is greater than third frequency of wink threshold value.
In some alternative embodiments, the operating parameter of air-conditioning is adjusted according to degree of fatigue, comprising:
When user is in not fatigue state, air-conditioning is run using preset default parameters, alternatively, according to current indoor
The operating parameter of environmental parameter adjusting air-conditioning；
Specifically, default parameters is the fortune in pre-set each season most beneficial for user job and the air-conditioning of study
Row parameter.Such as when winter etc. needing to heat, default parameters is that heating is set as 28 DEG C, and high wind file, wind deflector is put in level
Under positive and negative 30 ° or so progress swing flaps, swing flap blade or so swing flap, humidification humid control 50%~60%, fresh air volume according to
30m3/h. people.When summer etc. needing to freeze, default parameters is that refrigeration is set as 26 DEG C, superpower shelves, wind deflector level and to
Lower angle is progress swing flap within the scope of 45 °, and left and right swing flap blade opens left and right swing flap mode, humidification humid control 40%~
50%, fresh air volume is according to 30m3/h. people.
And/or when user is in slight fatigue, air-conditioning opens local relief's mode on the basis of default parameters, it will
Air conditioning exhausting is blowed to user region；
Specifically, calling default parameters to run air-conditioning when in slight fatigue, it is (silent to be then turned on local relief's mode
Recognize in parameter and be not turned on local relief's mode) so that air conditioning exhausting concentrates on user region, because when user feels fatigue
Body temperature can slightly rise, therefore wherein outlet air can help user's heat dissipation to refresh oneself.
And/or when user is in moderate fatigue, it is pre- that target temperature is reduced by first on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
Specifically, the degree of fatigue of user further increases at this time, default parameters is first called, it then will be in default parameters
Target temperature reduces the first preset value, and opens local relief's mode, so that user's cooling further be promoted to refresh oneself, increases simultaneously
Fresh air volume in air conditioning exhausting improves the oxygen content in air, helps user that intracorporal carbon dioxide is discharged.
And/or when user is in severe fatigue, it is pre- that target temperature is reduced by second on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in extremely tired, prompting message is issued, remind user's rest；
Wherein, degree of fatigue is tired and extremely tired including not fatigue state, slight fatigue, moderate fatigue, severe, and second
Preset value is greater than the first preset value.
Embodiment 2:
In the present embodiment, camera is filled on desk lamp, human fatigue degree is identified by camera, thus the air-conditioning that links
Indoor temperature and humidity and wind field are adjusted, academic environment appropriate is built, relieves fatigue degree, improves study/working efficiency；On desk lamp
Equipped with temperature-humidity detecting device, detect the temperature and humidity of ambient enviroment, and by with air-conditioning linkage ensure local environment reach compared with
Good comfort level.Above-mentioned desk lamp has Temperature and Humidity module, can detect the temperature and humidity of ambient enviroment.The desk lamp can will be known simultaneously
The degree of fatigue and temperature and humidity being clipped to feed back to air-conditioning.Air-conditioning has temperature adjustment module, is adjustable temperature；With humidity regulation
Module is adjustable humidity；With fresh air module, fresh air volume needed for capable of introducing；With multistage wind deflector and multiple swing flap motors, energy
Wind is sent to realization local relief's function around desk lamp.
Above-mentioned air-conditioning can be selected according to the fatigue state of user suitable leaving air temp, wind speed, swing flap mode, humidity, with
And fresh air volume, wherein temperature and wind speed can fluctuate in a certain range.
Fig. 2 is please referred to, in the present embodiment, air-conditioning is first run according to air-conditioning parameter set by user, or according to upper
Secondary operating parameter operation, cannot monitor the degree of fatigue of user at this time, but can start in terms of airconditioning control, build one
A suitable environment can set target temperature as 28 DEG C, high wind file, wind deflector is put in level if it is heating mode
Under positive and negative 30 ° or so progress swing flaps, swing flap blade or so swing flap, humidify humid control 50%~60%, fresh air volume is according to every
Personal 30m3/h.If it is refrigeration, may be set to 26 DEG C, superpower shelves, wind deflector horizontal and downward angle be within the scope of 45 ° into
Row swing flap, left and right swing flap blade open left and right swing flap mode, humidify humid control 40%~50%, fresh air volume is according to everyone
30m3/h.After user enters mode of learning, desk lamp then adjusts illumination and colour temperature if on, then the camera pair on desk lamp
User shoots video image, determines whether user is tired according to video image, and the fortune of air-conditioning is adjusted according to the degree of fatigue of user
Row parameter.
When judging the degree of fatigue of user according to video image, camera or image identification function are had on desk lamp,
It can detect the facial characteristics of user.
When air-conditioning opens mode of learning, image recognition is automatically turned on.
According to parameters such as the closed-eye time of user, frequency of wink, mouth feature, frequencies of nodding in conjunction with judging that user's is tired
Labor degree.
Firstly, the video of the camera typing user on typing desk lamp.
Noise-removed filtering processing is carried out to collected user video image using adaptive median filter algorithm, and is selected from
It adapts to threshold light and illumination equilibrium treatment is carried out to partially dark and partially bright video image according to equalization, to reduce noise and light factor
The adverse effect that image recognition is generated.
Then Face datection is carried out, using user in the face classification device positioning video image based on Adaboost algorithm
Human face region.By Haar-Like feature and integral image method, the efficiency and accuracy of Face datection are improved；
Again, judge eye state and mouth state.
Eye states recognition.Eye areas is detected roughly using face organ's geometry distribution rule.Based on big law to double
Vitrea eye domain carries out self-adaption binaryzation.Using vertical integral projection method judge user whether wearing spectacles, identify in two kinds of situation
Eye state identifies eye state using the algorithm based on histogram partial statistics characteristic if user's wearing spectacles；If user
Non- wearing spectacles then utilize the human eye detection of classifier eye areas based on Adaboost algorithm.Eye is calculated after threshold binarization
The approximate subtended angle of eyeball, judge eyes opens closed state.When user wears eyes, the above method can be improved detection eye and open and close
The accuracy rate of state.
Mouth state recognition.According to geometry distribution rule of the mouth in face, coarse positioning mouth region, given threshold into
Row binaryzation calculates mouth region area.Mouth edge, which is extracted, using Sobel edge detection method obtains perimeter.It calculates like circularity,
If being more than threshold value like circularity, judge that mouth is in open configuration, otherwise judges mouth for closed state.This method can mention
Height judges the accuracy of mouth closed state.
Then, fatigue state identifies.
People will appear under fatigue state continuously close one's eyes, yawn, phenomena such as drowsiness is nodded.It is embodied as continuing eye closing
Time increase, frequency of wink reduction, frequency of yawning and frequency of nodding increase etc..So this programme utilizes multiple behavioural characteristics,
Identify the fatigue state of user.
Average eye-closing period of the user after entering mode of learning is detected, if the eye-closing period of present period is greater than averagely
Eye-closing period, this illustrates that user is tired.
The number of winks in mode of learning initial 1 minute is just entered by counting user, as normal frequency of wink
Threshold value.By judging whether the frequency of wink of jth minute is more than the threshold value during real-time detection, whether identification eyes are in
Fatigue state.If it is less than the threshold value, then illustrate that frequency of wink is relatively low, needs to remind user in a state of fatigue.
It yawns frequency
Often yawn is continuous in sleepiness by people, and to remind brain to be in frazzle, need to sleep rest.It beats every time
Yawn opens one's mouth the duration generally at 6 seconds or so, specific manifestation are as follows: mouth open amplitude is larger, open one's mouth every time the duration compared with
Long, number of yawning increased.Therefore can be arranged according to user's mouth feature and judge the frequency of yawning of user, when frequency compared with
User is reminded to be in fatigue when high.
It nods frequency
People's brain response ability when dozing off becomes slow, and support and control ability to head is caused to weaken,
Therefore phenomena such as will appear nose drop, steeve or nod.When user frequently occur face upward head or bow act when, illustrate tired journey
Degree has reached than relatively hazardous rank, needs to rest.
First eyes regional center point and mouth region central point are positioned according to eyes and mouth detection method respectively, calculated
The datum mark that the midpoint of this two o'clock is detected as head position is obtained, head motion profile is tracked.If datum mark occurs
It is paroxysmal downwards, shift up, or pump, then illustrate that user is likely to occur sleepy situation of nodding.
Finally, output degree of fatigue, and according to the operation of degree of fatigue control air-conditioning.
Embodiment 3:
The application also proposes a kind of environmental management device, as shown in Figure 4, comprising:
Judging unit 10, for judging whether user enters preset mode；
Light source control unit 20, for after user enters preset mode, the colour temperature of light source and/or intensity of illumination to be adjusted
To preset color temperature and/or default intensity of illumination；
Fatigue monitoring unit 30, for after user enters preset mode, monitoring the degree of fatigue of user；
Conditioning control unit 40, for adjusting the operating parameter of air-conditioning according to degree of fatigue.
In some alternative embodiments, the environmental management device that the application proposes further include: music playing system is used for
Music is played according to the degree of fatigue of user, such as in the case where user is not tired or slight tired, plays the music releived,
And broadcasting goes with a swing in the increased situation of human fatigue degree or heavy metal strike music is refreshed oneself.
In some alternative embodiments, the environmental management device that the application proposes further include: reminding unit, for detecting
After user enters preset mode, duration is continued working in the case where no rest, continues working duration, fatigue according to described
Degree and attention concentrate feature to determine the time out point and pause duration of user, remind user's rest in time out point,
The time span of rest is equal to pause duration.People work after can not continuous work cross for a long time (common people can only
Intensive work 40-60 minutes), the time span that people can persistently focus under different degree of fatigues is exactly attention
Concentrate feature.For example: user can focus on work 40 minutes under not fatigue state, and only in slight fatigue
It can focus on work 30 minutes, therefore under not fatigue state, user job mentions after forty minutes (i.e. time out point)
The user that wakes up rests 5 minutes (pause duration), reminds user to rest 7 minutes after being then work 30 minutes in slight fatigue, uses
Then to suspend duration longer for fatigue at family.If not suspending duration shorter than in the duration of time out point user rest, continue
Operating time is reset, it should be noted that if user enough suspends duration in no rest, is needed according to user's actual rest
Pause duration adjust rest next time when pause duration (such as increasing the pause duration rested next time).
Optionally, the degree of fatigue of fatigue monitoring unit monitoring user, comprising:
The video image for acquiring user, identifies the human face region of user；
According in video image human face region movement determine user in the eye-closing period of present period, frequency of wink, beat
Breathe out number and/or frequency of nodding；
According to the eye-closing period of present period, frequency of wink, beat the tired journey breathed out number and/or frequency of nodding and determine user
Degree.
Optionally, fatigue monitoring unit is after the video image of acquisition user, before the human face region of identification user,
It is also used to:
Noise-removed filtering processing is carried out to collected video image using adaptive median filter algorithm；
It chooses adaptive threshold light and illumination equilibrium treatment is carried out to partially dark and partially bright video image according to equalization.
Optionally, fatigue monitoring unit according in video image human face region movement determine user eye-closing period and/
Or frequency of wink, comprising:
The ocular in human face region is determined according to face organ's geometry distribution rule；
Self-adaption binaryzation is carried out to ocular based on big law；
By vertical integral projection method judge user whether wearing spectacles；
If user's wearing spectacles, shape is opened and closed using the eyes based on histogram partial statistics characteristic algorithm identification user
State；
If the non-wearing spectacles of user, ocular is directly detected using the human eye classifier based on Adaboost algorithm,
To eyes approximation subtended angle is calculated after ocular binaryzation to identify the eyes open and-shut mode of user；
The eye-closing period and/or blink of user are determined according to the variation of the eyes open and-shut mode of user in shown video image
Frequency.
Optionally, fatigue monitoring unit determines that beating for user breathes out number according to the movement of human face region in video image, packet
It includes:
Mouth region is positioned according to geometry distribution rule of the mouth in human face region；
Given threshold carries out the area that binaryzation obtains mouth region to video image；
Using Sobel edge detection method extract mouth edge obtain mouth perimeter and calculate mouth like circularity；
It determines that mouth is opened when being greater than and presetting like circularity like circularity, is determining mouth no more than when presetting like circularity like circularity
Portion's closure；
Changed according to the open and-shut mode of user's mouth in video image and determines that beating for user breathes out number.
Optionally, fatigue monitoring unit according to the eye-closing period at current time, frequency of wink, beat to breathe out and number and/or nod
Frequency determines the degree of fatigue of user, comprising:
If eye-closing period is not more than the first duration threshold value, it is determined that user is in not fatigue state；
And/or
If eye-closing period is greater than the first duration threshold value, but is not more than the second duration threshold value, while it is zero that user, which beats Kazakhstan number,
Then determine that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if eye-closing period is greater than the second duration threshold value, alternatively, if eye-closing period is greater than
First duration threshold value and less than the second duration threshold value, while user beats and breathes out number and be greater than zero and no more than the first frequency threshold value, then
Determine that user is in moderate fatigue；
And/or
If eye-closing period is greater than the second duration and frequency of nodding is not more than first frequency threshold value, it is determined that user is in severe
Fatigue, alternatively, if beating for user breathes out number and be greater than the first frequency threshold value and frequency of nodding no more than first frequency threshold value, it is determined that
User is in severe fatigue；
And/or
If the frequency of nodding of user is greater than first frequency threshold value, it is determined that user is in extremely tired；
Wherein, the first duration threshold value is less than the second duration threshold value.
Optionally, the first duration threshold value is the average eye-closing period in preceding N minutes after user enters preset mode.
Optionally, fatigue monitoring unit according to the eye-closing period at current time, frequency of wink, beat to breathe out and number and/or nod
Frequency determines the degree of fatigue of user, comprising:
If the frequency of wink is not less than the first frequency of wink threshold value, it is determined that user is in not fatigue state；
And/or
If the frequency of wink is not less than the second frequency of wink threshold value, while user less than the first frequency of wink threshold value
Beating and breathing out number is zero, it is determined that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if the frequency of wink is less than the second frequency of wink threshold value, alternatively, if described
Frequency of wink is less than the first frequency of wink threshold value and is not less than the second frequency of wink threshold value, at the same user beat breathe out number greater than zero and
No more than the first frequency threshold value, it is determined that user is in moderate fatigue；
And/or
If the frequency of wink is less than the second frequency of wink threshold value and frequency of nodding is not more than first frequency threshold value, it is determined that
User is in severe fatigue, alternatively, if beating for user breathes out number and be greater than the first frequency threshold value and frequency of nodding frequently no more than first
Rate threshold value, it is determined that user is in severe fatigue；
And/or
If the frequency of nodding of user is greater than first frequency threshold value, and frequency of wink is less than third frequency of wink threshold value, then really
Determine user and is in extremely tired；
Wherein, the first frequency of wink threshold value is greater than the second frequency of wink threshold value, and the second frequency of wink threshold value is blinked greater than third
Eye frequency threshold.
Optionally, conditioning control unit adjusts the operating parameter of air-conditioning according to degree of fatigue, comprising:
When user is in not fatigue state, air-conditioning is run using preset default parameters, alternatively, according to current indoor
The operating parameter of environmental parameter adjusting air-conditioning；
And/or when user is in slight fatigue, air-conditioning opens local relief's mode on the basis of default parameters, it will
Air conditioning exhausting is blowed to user region；
And/or when user is in moderate fatigue, it is pre- that target temperature is reduced by first on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in severe fatigue, it is pre- that target temperature is reduced by second on the basis of default parameters by air-conditioning
If value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in extremely tired, prompting message is issued, remind user's rest；
Wherein, the degree of fatigue is tired and extremely tired including not fatigue state, slight fatigue, moderate fatigue, severe,
Second preset value is greater than the first preset value.
The application also proposes a kind of air-conditioning, any environmental management device proposed including the application.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of environmental management technique characterized by comprising
Judge whether user enters preset mode；
After user enters preset mode, the colour temperature of light source and/or intensity of illumination are adjusted to preset color temperature and/or default illumination
Intensity；
After user enters preset mode, the degree of fatigue of user is monitored, is joined according to the operation that the degree of fatigue adjusts air-conditioning
Number.
2. environmental management technique according to claim 1, which is characterized in that monitor the degree of fatigue of user, comprising:
The video image for acquiring user, identifies the human face region of user；
According in the video image human face region movement determine user in the eye-closing period of present period, frequency of wink, beat
Breathe out number and/or frequency of nodding；
According to the eye-closing period of present period, frequency of wink, beat the degree of fatigue breathed out number and/or frequency of nodding and determine user.
3. environmental management technique according to claim 2, which is characterized in that after the video image of acquisition user,
Before the human face region for identifying user, further includes:
Noise-removed filtering processing is carried out to collected video image using adaptive median filter algorithm；
It chooses adaptive threshold light and illumination equilibrium treatment is carried out to partially dark and partially bright video image according to equalization.
4. according to the described in any item environmental management techniques of claim 2-3, which is characterized in that according to people in the video image
The movement in face region determines the eye-closing period and/or frequency of wink of user, comprising:
The ocular in the human face region is determined according to face organ's geometry distribution rule；
Self-adaption binaryzation is carried out to the ocular based on big law；
By vertical integral projection method judge user whether wearing spectacles；
If user's wearing spectacles, using the eyes open and-shut mode based on histogram partial statistics characteristic algorithm identification user；
If the non-wearing spectacles of user, ocular is directly detected using the human eye classifier based on Adaboost algorithm, to eye
Eyes approximation subtended angle is calculated after the binaryzation of portion region to identify the eyes open and-shut mode of user；
The eye-closing period and/or blink frequency of user are determined according to the variation of the eyes open and-shut mode of user in shown video image
Rate.
5. according to the described in any item environmental management techniques of claim 2-4, which is characterized in that according to people in the video image
The movement in face region determines that beating for user breathes out number, comprising:
Mouth region is positioned according to geometry distribution rule of the mouth in the human face region；
Given threshold carries out the area that binaryzation obtains mouth region to the video image；
Using Sobel edge detection method extract mouth edge obtain mouth perimeter and calculate mouth like circularity；
It is described like circularity be greater than it is default like circularity when determine that mouth opens, it is described be not more than like circularity preset like circularity when it is true
Determine mouth closure；
Changed according to the open and-shut mode of user's mouth in the video image and determines that beating for user breathes out number.
6. according to the described in any item environmental management techniques of claim 2-5, which is characterized in that when according to the eye closing at current time
Length, frequency of wink beat and breathe out the degree of fatigue that number and/or frequency of nodding determine user, comprising:
If the eye-closing period is not more than the first duration threshold value, it is determined that user is in not fatigue state；
And/or
If the eye-closing period is greater than the first duration threshold value, but is not more than the second duration threshold value, while it is zero that user, which beats Kazakhstan number,
Then determine that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if the eye-closing period is greater than the second duration threshold value, alternatively, if the eye-closing period
Greater than the first duration threshold value and less than the second duration threshold value, while user beats and breathes out number greater than zero and no more than first several threshold
Value, it is determined that user is in moderate fatigue；
And/or
If the eye-closing period is greater than the second duration and frequency of nodding is not more than first frequency threshold value, it is determined that user is in severe
Fatigue, alternatively, if beating for user breathes out number and be greater than the first frequency threshold value and frequency of nodding no more than first frequency threshold value, it is determined that
User is in severe fatigue；
And/or
If the frequency of nodding of user is closed one's eyes and is longer than greater than third threshold value greater than first frequency threshold value, it is determined that user is in pole
Degree fatigue；
Wherein, the first duration threshold value is less than third duration threshold value less than the second duration threshold value, the second duration threshold value.
7. according to the described in any item environmental management techniques of claim 2-5, which is characterized in that when according to the eye closing at current time
Length, frequency of wink beat and breathe out the degree of fatigue that number and/or frequency of nodding determine user, comprising:
If the frequency of wink is not less than the first frequency of wink threshold value, it is determined that user is in not fatigue state；
And/or
If the frequency of wink is not less than the second frequency of wink threshold value, while user beats Kazakhstan less than the first frequency of wink threshold value
Number is zero, it is determined that user is in slight fatigue；
And/or
Determine that user is in moderate fatigue if the frequency of wink is less than the second frequency of wink threshold value, alternatively, if the blink
Frequency is less than the first frequency of wink threshold value and is not less than the second frequency of wink threshold value, while user beats and breathes out number and be greater than zero and little
In the first frequency threshold value, it is determined that user is in moderate fatigue；
And/or
If the frequency of wink is less than the second frequency of wink threshold value and frequency of nodding is not more than first frequency threshold value, it is determined that user
In severe fatigue, alternatively, if user's beats to breathe out number and be greater than the first frequency threshold value and frequency of nodding and is not more than first frequency threshold
Value, it is determined that user is in severe fatigue；
And/or
If the frequency of nodding of user is greater than first frequency threshold value, and frequency of wink is less than third frequency of wink threshold value, it is determined that uses
Family is in extremely tired；
Wherein, the first frequency of wink threshold value is greater than the second frequency of wink threshold value, and the second frequency of wink threshold value is greater than third blink frequency
Rate threshold value.
8. according to the described in any item environmental management techniques of claim 2-7, which is characterized in that adjusted according to the degree of fatigue
The operating parameter of air-conditioning, comprising:
When user is in not fatigue state, air-conditioning is run using preset default parameters, alternatively, according to the environment of current indoor
The operating parameter of parameter regulation air-conditioning；
And/or when user is in slight fatigue, air-conditioning opens local relief's mode on the basis of default parameters, by air-conditioning
Outlet air is blowed to user region；
And/or when user is in moderate fatigue, air-conditioning presets target temperature reduction by first on the basis of default parameters
Value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in severe fatigue, air-conditioning presets target temperature reduction by second on the basis of default parameters
Value is opened local relief's mode, air conditioning exhausting is blowed to user region, and increase the fresh air volume in air conditioning exhausting；
And/or when user is in extremely tired, prompting message is issued, remind user's rest；
Wherein, the degree of fatigue is tired and extremely tired including not fatigue state, slight fatigue, moderate fatigue, severe, and second
Preset value is greater than the first preset value.
9. a kind of environmental management device characterized by comprising
Judging unit, for judging whether user enters preset mode；
Light source control unit, for the colour temperature of light source and/or intensity of illumination being adjusted to default after user enters preset mode
Colour temperature and/or default intensity of illumination；
Fatigue monitoring unit, for after user enters preset mode, monitoring the degree of fatigue of user；
Conditioning control unit, for adjusting the operating parameter of air-conditioning according to the degree of fatigue.
10. a kind of air-conditioning, which is characterized in that including environmental management device as claimed in claim 9.
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| CN201910599078.2A CN110319545A (en) | 2019-07-04 | 2019-07-04 | Environment management method and device and air conditioner |
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| CN201910599078.2A CN110319545A (en) | 2019-07-04 | 2019-07-04 | Environment management method and device and air conditioner |
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Family
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