CN108717873A - A kind of space luminous environment AI regulating systems based on unsupervised learning technology - Google Patents
A kind of space luminous environment AI regulating systems based on unsupervised learning technology Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- 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
- H05B47/105—Controlling the light source in response to determined parameters
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Abstract
The space luminous environment AI regulating systems based on unsupervised learning technology that the present invention relates to a kind of, including：Parameter acquisition devices, for obtaining measured's Physiological Psychology parameter in real time；Behavior pattern harvester, the position for detecting measured and action realize space orientation, to obtain measured's behavior pattern；AI deep learning devices, reforming unit, which is transmitted, by an information is separately connected parameter acquisition devices and behavior pattern harvester, unsoundness luminous environment parameter model is safeguarded, for according to measured's Physiological Psychology parameter and measured's behavior pattern, obtaining real-time luminous environment parameter value；Luminous environment regulating device, the luminous environment parameter value for being obtained according to the AI deep learnings device carry out space luminous environment adjusting.Compared with prior art, the present invention have many advantages, such as luminous environment parameter height adaptive, it is autonomous it is perfect, can effectively shorten experimental period, be quickly obtained optimal luminous environment parameter.
Description
Technical field
The present invention relates to a kind of the elderly's spatial light environment adjustment systems, and unsupervised learning skill is based on more particularly, to one kind
The space luminous environment AI regulating systems of art.
Background technology
China is faced with severe social senilization's problem.The United Nations's demographic data predictive display, China is in the year two thousand thirty
Left and right will become the highest country of world's aging degree.Since the degeneration of physical function changes, when the elderly is most
Between all spend indoors.It was discovered by researchers that luminous environment to the weighing factor of Geriatric's health more than thermal environment and space
Greatly, luminous environment quality can act on the mechanism such as resistance to compression, circadian rhythm and the oxidative stress of human body, with depression, angiocardiopathy, sleep
The multiple disease of the elderlys such as dormancy obstacle is related, therefore it is physically and mentally healthy related between Interior Illumination Environment to inquire into research the elderly
Property, there is larger realistic meaning and social effect.Currently, the correlative study about the elderly's luminous environment surrounds sky of living mostly
Between luminous environment parameter (Luminance Distribution, illumination, colour temperature, lighting system, irradiation duration etc.) and visual comfort, physiology, psychology
Between correlation expansion inquire into, research method is mainly the mode of subjective assessment, and accuracy is relatively low, can not reject individual difference
It is different.It is limited to experimental method and scale simultaneously, experimental period is long, can not consider the demand of the elderly's various activities, can not
Adjustment in time, can not also provide accurate optimum value.The research in the field will also be in a large amount of repetitions in a very long time
Experiment is to collect the basic data of sufficient amount.
In order to solve drawbacks described above, some existing documents and patent have done correlative study, such as：
1. equal scale simulations laboratory, setting are built in Tongji University's luminous environment laboratory according to true hospital ward space
Different-colour (3000K, 4000K, 5700K), illumination (100lx, 200lx, 400lx) and direct illumination contribution rate (0%, 30%,
50%, 70%) illumination scene, the elderly that angiocardiopathy history had been inquired by way of subjective questionnaire and interview exist
Visual comfort under each light environment and psychological feelings.The optional item of experiment subject is less, can not synthetic color temperature, photograph
Three kinds of degree, direct illumination contribution rate conditions provide optimal luminous environment parameter value.Experiment sample amount is small, to the accurate of experimental result
Degree has certain influence.
2. Japan scholar this Kang Tailang of Bamboo grass is tested the elderly of the over-65s of Yamaguchi, Japan 300 by QOL questionnaires
Questionnaire survey is carried out, weighing factor of the varying environment factor to the elderly's daily life and health is inquired into.Researcher is directed to and asks
It rolls up data and carries out x2 inspections, multiple regression analysis is carried out to the Factor Weight selected out, is as a result shown：It is strong to influence Geriatric
The environmental factor weight of health situation is descending to be followed successively by luminous environment, space, thermal environment.
PrabuWardono et al. uses the method that digital Scene Simulation, subjective questionnaire are evaluated, and is with light, color and decoration
Variable carries out experimental study for the perception of subject, mood and Social behaviors.Experimental result also indicates that light environment is to sky
Between user's mood influence it is the most notable.
Above-mentioned experiment obtains the importance that luminous environment influences the elderly, but can not provide optimal luminous environment parameter
Value；Mainly by the evaluation method of subjective questionnaire, luminous environment Parameters variation and old mental health and mood phase can not be provided
The exact value of closing property.
3.2001 years, the research of her a rattan man of great physical prowess of Japanese scholars was in the special geriatric nursing home of snowy district in Niigata County, Japan
2 patients with Alzheimer disease (83 years old women, 90 years old women) carry out experimental study.Influent pH of the research for subject
The row such as (food-intake, rule degree), sleep wakefulness state, degree of independence, the reaction of sonic stimulation, expression shape change, wheelchair sitting posture
To have carried out quantitative research.Experiment subject sample size is too small, and tested individual otherness will produce larger impact to experimental result.
4.2002 years, her a rattan man of great physical prowess is directed in the geriatric nursing home of Shiga ,Japan 27, and (male 10, women 17 were put down
Equal 82.4 years old age) patients with Alzheimer disease carried out tracking test research.Experiment is arranged in the public sky of geriatric nursing home Stall
Between, large-scale area source provides high-intensity illumination.Experiment carries out light stimulation in breakfast, lunch, playtime respectively, accumulative daily
Irradiation time is 3.5 hours.Experiment hovered, makes an uproar for subject sleep quality, night, degree of awakening on daytime carries out quantitatively evaluating.
Include comparison, 2 stages of light stimulation during experiment, amounts to 1.5 months.
The above-mentioned experiments experiment period is long, and no focus ring border parameter adjusts, and can not obtain other luminous environment parameter values
Influence to experimental result.The place of the experiment and experimental period are limited, and it is big to repeat experiment difficulty.
Invention content
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind being based on unsupervised
The space luminous environment AI regulating systems of habit technology.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of space luminous environment AI regulating systems based on unsupervised learning technology, including：
Parameter acquisition devices, for obtaining measured's Physiological Psychology parameter in real time；
Space orientation is realized in behavior pattern harvester, the position for detecting measured and action, to be tested
Person's behavior pattern；
AI deep learning devices are separately connected parameter acquisition devices by information transmission reforming unit and behavior pattern are adopted
Acquisition means safeguard unsoundness luminous environment parameter model, for according to measured's Physiological Psychology parameter and measured's behavior mould
Formula obtains real-time luminous environment parameter value；
Luminous environment regulating device, the luminous environment parameter value for being obtained according to the AI deep learnings device carry out spatial light
Environment is adjusted.
Further, the AI deep learnings device includes：
Model learning module is used for the output of parameter acquisition devices, behavior pattern harvester described in unsupervised learning
Output and the correlation between luminous environment parameter, obtain the model parameter of the health lighting parameter model；
Real-time parameter acquisition module, based on the health lighting parameter model that unsupervised learning obtains, according to described tested
Person's Physiological Psychology parameter and measured's behavior pattern obtain real-time luminous environment parameter value.
Further, the AI deep learnings device further includes：
Information sending module, measured's Physiological Psychology parameter, measured's behavior pattern and real-time light for that will obtain
Environmental parameter value sends external equipment to.
Further, the AI deep learnings device further includes：
Energy consumption real time monitoring module, for realizing the real-time monitoring of energy consumption.
Further, the AI deep learnings device further includes：
Monitoring module is looked after, for receiving care provider's temporal information on duty.
Further, measured's Physiological Psychology parameter include pulse, blood pressure, deep sleep duration, situation of getting up in the night to urinate and
Sleep quality.
Further, the parameter acquisition devices include shut-eye bed mattress and bracelet.
Further, the behavior pattern harvester includes light source and Bluetooth chip.
Further, the luminous environment regulating device includes lighting apparatus and intelligent curtain.
Further, the luminous environment parameter includes space colour temperature, illumination, lighting hours and lighting system.
Compared with prior art, the present invention adjusts system by the suitable old space luminous environment AI based on unsupervised learning technology
System breaches the elderly's luminous environment research field and needs by largely repeatedly testing the basic data bottleneck that could be collected, greatly
Improve obtain health lighting parameter efficiency.By obtaining data, in real time analysis, unsupervised learning technology and reality in real time
When adjustment luminous environment parameter value can improve personal settings with high degree and be precisely controlled, can effectively shorten experiment week
Phase is quickly obtained optimal luminous environment parameter.The present invention can solve the problems, such as including but not limited to following scene, obtain beneficial to effect
Fruit：
1) shorten and test the period getparms, improve conventional efficient, a large amount of manpower and materials can be saved；
2) by obtaining data, analysis and adjustment luminous environment parameter value in real time, it is possible to reduce influence of the preset value to parameter,
It is greatly expanded training sample amount；
3) analytic learning is carried out to every physiology and psychological parameter and positioning system numerical value by deep learning system, it can
To exclude the deviation of subjective assessment, the experiment result accuracy obtained on the basis of mass data analysis greatly improves；
4) realize that health lighting individual is customizing；
5) present invention has many advantages, such as luminous environment parameter height adaptive, independently improves, and can consider individual of sample
Otherness and the elderly's activity diversity requirement.
Description of the drawings
Fig. 1 is the structural diagram of the present invention；
Fig. 2 is the principle schematic of AI deep learnings device of the present invention；
Fig. 3 is the functional schematic of the present invention.
Specific implementation mode
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
As shown in Figure 1, the present embodiment provides a kind of suitable old sky based on unsupervised learning technology with old artificial measured
Between luminous environment AI regulating systems, which may be implemented sizable application, the batch, automatic in the case where dereliction tries personnel, no initial condition
Experiment flow is completed, and independently collects, analyze experimental data, sophisticated model parameter effectively shortens luminous environment experimental period.This is
System includes parameter acquisition devices 1, behavior pattern harvester 2, AI deep learnings device 3 and luminous environment regulating device 4, wherein
Parameter acquisition devices 1 for obtaining the elderly's Physiological Psychology parameter in real time；Behavior pattern harvester 2 is for detecting the elderly's
Position and action realize space orientation, to obtain the elderly's behavior pattern；AI deep learnings device 3 is transmitted by an information
Reforming unit 5 is separately connected parameter acquisition devices 1 and behavior pattern harvester 2, and AI deep learnings device 3 safeguards unsoundness
Luminous environment parameter model, for according to the elderly's Physiological Psychology parameter and the elderly's behavior pattern, obtaining the real-time ring of light
Border parameter value；Luminous environment regulating device 4 is transmitted reforming unit 5 by information and is connect with AI deep learnings device 3, for according to institute
The luminous environment parameter value for stating the acquisition of AI deep learnings device 3 carries out space luminous environment adjusting.
Parameter acquisition devices 1 (including and are not limited to for acquiring every numerical value of old human physiology and psychologic status in real time：
Pulse, blood pressure, deep sleep duration, situation of getting up in the night to urinate, sleep quality etc.), it is transmitted to AI deep learnings device 3, it is old for reflecting
The physiology and mental health state of year people.Parameter acquisition devices 1 may include wearable data acquisition equipment etc., as shut-eye bed mattress,
Intelligent bracelet etc., shut-eye bed mattress, which can detect, collects the elderly's deep sleep duration and continuity, the sleep qualities such as frequency of getting up in the night to urinate
Data.Bracelet can collect every Physiological Psychology condition values such as heartbeat, pulse, blood pressure.
Behavior pattern harvester 2 is used to detect position and motion capture in the interior space of the environment middle-aged and the old, obtains
It is an indoor positioning device to every behavior pattern of the elderly, when monitoring position, each position stop of indoor occupant in real time
Between, the numerical value such as movement speed, travel frequency.The present embodiment behavior pattern harvester 2 uses the combination of light source and Bluetooth chip,
It realizes that sterically defined algorithm principle is the known technology means of this field by light source and Bluetooth chip, can realize more reliable
Positioning, and obtain accurate behavior pattern.
AI deep learnings device 3 includes model learning module and real-time parameter acquisition module, and model learning module is used for nothing
It is related between the output of parameter acquisition devices described in supervised learning, the output of behavior pattern harvester and luminous environment parameter
Property, obtain the model parameter of the health lighting parameter model；Real-time parameter acquisition module is obtained based on unsupervised learning
Health lighting parameter model obtains the real-time ring of light according to the elderly's Physiological Psychology parameter and the elderly's behavior pattern
Border parameter value.AI deep learnings device 3 uses artificial intelligence deep learning algorithm (including but not limited to：Unsupervised intensified learning,
CGAN etc.), it is related between the output of incorporating parametric harvester, the output of behavior pattern harvester and luminous environment parameter
Property, autonomous debugging, Auto-matching and the self-perfection for fitting old space health lighting parameter are realized, to establish effective health
Luminous environment parameter model realizes real-time luminous environment parameter regulation by the health lighting parameter model.
As shown in Fig. 2, the operation principle of AI deep learnings device 3 includes：Based on theoretical model, set depth learning model
Parameter, by obtaining, analyzing the correlation of data between parameter acquisition devices, behavior pattern harvester and luminous environment parameter,
By each parameter of analyses and comparison luminous environment to the elderly's mental emotion, circadian rhythm, visual characteristic and physiological health etc.
Influence, unsupervised each luminous environment parameter value of optimization, final training obtain the suitable old space health light for meeting the elderly's characteristic
Environment parameter model.AI deep learnings device 3 generates corresponding as a result, being one for analyzing and learning the data being collected into
Set high speed receives and the equipment of processing real time information, including but not limited to computer, router, cable etc..
Luminous environment regulating device 4 is for adjusting indoor luminous environment situation, including colour temperature, illumination, irradiation time, illumination side
The multinomial numerical value such as formula improves the physiology and mental health for living in the elderly in the space, is calculated by artificial intelligence deep learning
Method controls.
Information transmits reforming unit 5 for realizing AI deep learnings device 3 and parameter acquisition devices 1, behavior pattern acquisition
Device 2 communicates, and is encoded into the format that AI deep learning software equipments can be read, and real-time results are transferred to luminous environment and adjust dress
Set 4.In the present embodiment, it can be a server that information, which transmits reforming unit 5, be mounted with that (means of communication includes based on Internet of Things
But it is not limited to bluetooth, WIFI, ZigBee) information integration system of communications protocol, it can collect, control automatically and include but unlimited
In：The data of the hardware devices such as electronic tag, shut-eye bed mattress, tunable optical color-tunable illumination equipment, air-conditioning, Detection of Air Quality, it is interior
It is equipped with algorithm of the developer based on experiment conclusion, realizes information transmission and conversion.
In certain embodiments, AI deep learnings device 3 further includes information sending module, the old life for that will obtain
Reason psychological parameter, the elderly's behavior pattern and real-time luminous environment parameter value send external equipment to, can such as give medical treatment, management,
The crowds such as family members provide real time information and inform.
In certain embodiments, AI deep learnings device 3 further includes energy consumption real time monitoring module, for realizing energy consumption
Real-time monitoring, to reduce energy waste.
In certain embodiments, AI deep learnings device 3 further includes looking after monitoring module, on duty for receiving care provider
Temporal information.
As shown in figure 3, being based on above-mentioned AI deep learnings device 3, following functions can be realized：
Positioning (safety management, personal management) in real time monitors the Activities range of the elderly, physiology, psychological indicator, protects
Hinder the elderly's daily life safety；
Information collects (health control), the every physiology and psychological indicator of real-time collecting the elderly, and is made according to index
Judge；
Management is looked after, supervision ensures that caregiver is on duty on time, completes nurse work；
Energy consumption real time monitoring (managing power consumption) realizes the real-time monitoring of energy consumption, reduces energy waste；
Information sends (information management), and providing real time information to crowds such as medical treatment, management, family members informs；
Healthy big data (research is supported) breaks away from decimal epoch according to the study, collects that system covering is lower to be obtained by high in the clouds
Big data sample, solid data supporting is provided to the type scientific research.
Above system can accurately control Interior Illumination Environment, including but not limited to the colour temperature of the interior space, illumination,
Lighting hours, lighting system make regulation and control.Each item data of the elderly can be detected：(1) ensure the elderly's items physiology
It is normal with psychological indicator；(2) extend the elderly's deep sleep duration, improve sleep quality, ensure normal rhythm；(3) it reduces old
The danger of year people's space operation indoors, and can be detected in time when accident occurs；(4) ensure that caregiver presses point on time
It provides nurse to look after, such as：It takes medicine, feed on schedule, work is nursed in timing turning over, scouring etc..
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be in the protection domain being defined in the patent claims.
Claims (10)
1. a kind of space luminous environment AI regulating systems based on unsupervised learning technology, which is characterized in that including：
Parameter acquisition devices, for obtaining measured's Physiological Psychology parameter in real time；
Behavior pattern harvester, the position for detecting measured and action realize space orientation, to obtain measured's row
For pattern；
AI deep learning devices transmit reforming unit by an information and are separately connected parameter acquisition devices and behavior pattern acquisition dress
It sets, safeguards unsoundness luminous environment parameter model, for according to measured's Physiological Psychology parameter and measured's behavior pattern, obtaining
Obtain real-time luminous environment parameter value；
Luminous environment regulating device, the luminous environment parameter value for being obtained according to the AI deep learnings device carry out space luminous environment
It adjusts.
2. the space luminous environment AI regulating systems according to claim 1 based on unsupervised learning technology, which is characterized in that
The AI deep learnings device includes：
Model learning module is used for the output of parameter acquisition devices, the output of behavior pattern harvester described in unsupervised learning
With the correlation between luminous environment parameter, the model parameter of the health lighting parameter model is obtained；
Real-time parameter acquisition module is given birth to based on the health lighting parameter model that unsupervised learning obtains according to the measured
Psychological parameter and measured's behavior pattern are managed, real-time luminous environment parameter value is obtained.
3. the space luminous environment AI regulating systems according to claim 2 based on unsupervised learning technology, which is characterized in that
The AI deep learnings device further includes：
Information sending module, measured's Physiological Psychology parameter, measured's behavior pattern and real-time luminous environment for that will obtain
Parameter value sends external equipment to.
4. the space luminous environment AI regulating systems according to claim 2 based on unsupervised learning technology, which is characterized in that
The AI deep learnings device further includes：
Energy consumption real time monitoring module, for realizing the real-time monitoring of energy consumption.
5. the space luminous environment AI regulating systems according to claim 2 based on unsupervised learning technology, which is characterized in that
The AI deep learnings device further includes：
Monitoring module is looked after, for receiving care provider's temporal information on duty.
6. the space luminous environment AI regulating systems according to claim 1 or 2 based on unsupervised learning technology, feature exist
In measured's Physiological Psychology parameter includes pulse, blood pressure, deep sleep duration, situation of getting up in the night to urinate and sleep quality.
7. the space luminous environment AI regulating systems according to claim 1 based on unsupervised learning technology, which is characterized in that
The parameter acquisition devices include shut-eye bed mattress and bracelet.
8. the space luminous environment AI regulating systems according to claim 1 based on unsupervised learning technology, which is characterized in that
The behavior pattern harvester includes light source and Bluetooth chip.
9. the space luminous environment AI regulating systems according to claim 1 based on unsupervised learning technology, which is characterized in that
The luminous environment regulating device includes lighting apparatus and intelligent curtain.
10. the space luminous environment AI regulating systems according to claim 1 based on unsupervised learning technology, feature exist
In the luminous environment parameter includes space colour temperature, illumination, lighting hours and lighting system.
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