CN107355946A - A kind of comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience and method - Google Patents
A kind of comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience and method Download PDFInfo
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- CN107355946A CN107355946A CN201710513851.XA CN201710513851A CN107355946A CN 107355946 A CN107355946 A CN 107355946A CN 201710513851 A CN201710513851 A CN 201710513851A CN 107355946 A CN107355946 A CN 107355946A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- 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
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a kind of comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience and method, the system includes data collection layer, equipment key-course, accumulation layer, functional layer and alternation of bed.Present invention also offers a kind of comfortable energy-saving control method of the home furnishings intelligent based on Consumer's Experience, comprise the following steps：If step 1, user feel to feel uncomfortable to indoor environment, complain that software is sent to complaining information caused by indoor environment by mobile phone, these information are stored in the database on backstage；These complaint information are carried out learning training by step 2, decision system by the method for machine learning, produce the ambient parameter information for meeting that human comfort requires；Step 3, apparatus control system make its scope be located at caused by step 2 to meet in the range of the ambient parameter of human comfort by adjusting ambient parameter, to meet the requirement of human body comfort.The present invention is flexible and convenient to use, and intelligent control, programmable degree are high, and cost is cheap, is adapted to popularization and application.
Description
Technical field
The present invention relates to Smart Home technical field, specifically, is related to a kind of home furnishings intelligent based on Consumer's Experience and relaxes
Suitable energy-saving control system and method.
Background technology
The concept of home intelligence system originates from the U.S. of the seventies in last century, then, travels to the states such as Europe, Japan
And good development is obtained.In China, this concept of smart home is later, about in home intelligence system at the end of the nineties
System just gets enter into the country, but development speed is surprising, a considerable amount of intellectual communityintellectualized villages existing so far and house.So-called intelligence
Household is the product that modern electronic technology, automatic technology and the communication technology are combined.It can automatically control and manage household electrical appliances
Equipment, alarm is monitored to the safety of home environment, and safety and comfort, efficiently convenient study life can be provided for resident family
Living and working environment.Home intelligence system is by the various communication equipment related to information, household electrical appliance and families in family
Protective device is connected by wired or wireless mode, and concentrated or the monitoring in strange land, management, keep home dwelling
Environmental amenity, coordination.Compared with common household, smart home not only possesses traditional inhabitation function, there is provided comfortable,
The high-grade living environment of highly effective and safe, a passive static living environment also is promoted into one has certain wisdom to assist energy
The life helper of the consideration of power, further optimize the quality of life of resident family.And with growing, the intelligence of machine learning algorithm
Energy household be combined with each other with machine learning, and the prospect of smart home can be more bright.
The society of modernization, people's most of the time of one day, a good indoor environment was advantageous to people indoors
Live and work, be advantageous to health and improve work and study efficiency.However, set currently for the air-conditioning of indoor environment regulation
It is standby be mostly based on temperature humidity setting regulation, cannot real-time estimate meet the requirement of human comfort with control indoor environment,
And substantial amounts of energy waste can be caused.
The content of the invention
A kind of the defects of it is an object of the invention to overcome above-mentioned technology to exist, there is provided home furnishings intelligent based on Consumer's Experience
Comfortable energy-saving control system and method, the information that human body experiences to indoor environment is collected using the mode of man-machine interaction, as cold
Experience, experience of heat etc., uncomfortable experience information is learnt, trained and predicted by machine learning algorithm, finally controlled
The humiture of indoor environment processed meets that daily indoor people comfortably require, devises a kind of empty based on Consumer's Experience control
Adjust equipment to adjust indoor environment in real time, reach the requirement of comfortableness and energy saving.
Its concrete technical scheme is：
A kind of comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience, including data collection layer, equipment key-course,
Accumulation layer, functional layer and alternation of bed；
The data collection layer obtains the current ambient parameter data of indoor and outdoor by environmental sensor in real time, and by data
Accumulation layer is passed to store in MySQL database；
The equipment key-course is used for the control command for performing the decision system from functional layer, passes through indoor environment equipment
To environment dynamic control.
The data and information that the accumulation layer is used to generate when indoor environment equipment is run are stored, and on the one hand it will
The indoor and outdoor surroundingses data of environment monitoring sensor collection are recorded and are transmitted to equipment key-course with the decision-making of functional layer
Control command caused by system；On the other hand it will also be the decision system progress data, services generation of functional layer to indoor environment
The control strategy of equipment, while transmit data source upwards for alternation of bed；
The functional layer includes server and decision system, for controlling accumulation layer layer data with equipment respectively and interacting
The data transfer of layer is controlled.PC browsers and Android phone end software in operation layer, will pass through http-server
The communication interface of offer carries out data transfer, so as to be interacted with control system.The decision system of functional layer passes through server
Hold to be responsible for collecting the complaint information of environmental data and user to indoor environment, produce control strategy, equipment key-course is carried
For control command.Decision system using do not stop from accumulation layer transmit come data, control strategy is dynamically updated；
The alternation of bed is used to support interacting for user and control system, and it is to employ Android software that it, which is mainly realized,
Mode.After user is mounted with the client on mobile phone, understand current indoor environment situation, user using the client to
Control system sends oneself the complaint information to current indoor environment, and control system understands the complaint information according to user, mainly
It is cold and hot complaint, with reference to the real time data of indoor environment and the running status of current each environmental unit, utilizes machine learning
Method to indoor environment generate Optimal Control Strategy, reach user and comfortably require.Complain information, control for other types
System processed directly meets that user requires by regulating and controlling related environmental unit.User controls indoor equipment using PC browsers and looked into
See indoor environment information.
Further, in the equipment key-course, system has air-conditioning for the control that user designs, and light, humidifier control, changes
The control of the environmental unit of gas fan.
Further, it is described not stop to transmit the data of coming from accumulation layer, including user complains that information, environmental sensor detect
The data of indoor environment data and indoor equipment running situation.
Further, the complaint information to current indoor environment includes too cold, too hot, too dry, overly wet, too dizzy, too
Secretly, too vexed uncomfortable sensation.
A kind of comfortable energy-saving control method of home furnishings intelligent based on Consumer's Experience, comprises the following steps：
If step 1, user feel to feel uncomfortable to indoor environment, complain that software is sent to indoor ring by mobile phone
Complaint information, these information are stored in the database on backstage caused by border；
These complaint information are carried out learning training by step 2, decision system by the method for machine learning, and generation meets people
The ambient parameter information of body comfort requirement；
Step 3, apparatus control system make its scope be located at caused by step 2 and meet human comfort by adjusting ambient parameter
Ambient parameter in the range of, to meet the requirement of human body comfort.
Compared with prior art, beneficial effects of the present invention are：
The present invention is an achievable indoor environment intelligent control, can adjust indoor environment according to the experience of user
Intelligence control system, the present invention is flexible and convenient to use, and intelligent control, programmable degree are high, and cost is cheap, is adapted to promote and answers
With.
Brief description of the drawings
Fig. 1 is the schematic diagram of the comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience；
Fig. 2 is the comfortable energy-saving control method flow chart of home furnishings intelligent based on Consumer's Experience；
Fig. 3 is apparatus control system schematic diagram.
Embodiment
Technical scheme is described in more detail with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, a kind of comfortable energy-saving control system of home furnishings intelligent based on Consumer's Experience, including data collection layer,
Equipment key-course, accumulation layer, functional layer and alternation of bed；
1. data collection layer and the basis that equipment key-course is the system.The function of data collection layer is to pass through environmentally sensitive
Device obtains the current ambient parameter data of indoor and outdoor in real time, and passes data to accumulation layer and stored in MySQL database.If
The function of standby key-course is to perform the control command of the decision system from functional layer, by indoor environment equipment to environment dynamic
Control.System devises control for user the control of the environmental units such as air-conditioning, light, humidifier control, ventilation fan.
2. data and information that accumulation layer major function generates when being and running indoor environment equipment are stored.Wherein,
On the one hand the indoor and outdoor surroundingses data that it will be gathered to environment monitoring sensor are recorded and transmit work(to equipment key-course
Control command caused by the decision system of ergosphere；On the other hand it will also be the decision system progress data, services generation of functional layer
To the control strategy of indoor environment equipment, while transmit data source upwards for alternation of bed.
3. functional layer includes server and decision system, main task is exactly to control layer data with equipment respectively to accumulation layer
It is controlled with the data transfer of alternation of bed.PC browsers and Android phone end software in operation layer, will pass through http
The communication interface that server provides carries out data transfer, so as to be interacted with control system.The decision system of functional layer passes through
Server end is responsible for collecting complaint information to indoor environment of environmental data and user etc., control strategy is produced, to equipment
Key-course provides control command.Decision system can utilize do not stop from accumulation layer transmit come data, as user complaint information, ring
Border sensor detects the data such as indoor environment data and indoor equipment running situation, and control strategy is carried out dynamically more
Newly.User is when the control system is just begun to use, it is possible to can be often because subjective sensation generation is uncomfortable to environment
Complaint information, but can be predicted along with the increase of control system learning time, control system according to the method for machine learning
What is gone out makes the comfortable indoor environment parameter of user, by controlling indoor environment equipment, automatically adjusts indoor environment, final goal is
Establish a user seldom indoor ring comfort level kinetic-control system of the intervention even without intervention.
4. the major function of alternation of bed is to support interacting for user and control system, it is to employ that it, which is mainly realized,
The mode of Android software.After user is mounted with the client on mobile phone, the feelings of current indoor environment can be easily understood
Condition, in addition, user send oneself the complaint information to current indoor environment using the client to control system, such as too
Cold, too hot, too dry, overly wet, too dizzy, too dark, too vexed etc. uncomfortable sensation.Complaint information of the control system meeting according to user,
Mainly cold and hot complaint, with reference to the real time data of indoor environment and the running status of current each environmental unit, utilize machine
The method of study generates Optimal Control Strategy to indoor environment, reaches user and comfortably requires.Complain for other types and believe
Breath, control system directly meet that user requires by regulating and controlling related environmental unit.Meanwhile in order to meet different user
Demand, user can also utilize PC browsers control indoor equipment and check indoor environment information.System is obtained by study
The zone of comfort of user under indoor environment, intelligent control is carried out to air-conditioning system, keep the temperature of indoor environment, relative humidity
In the range of user is comfortable on.System not only ensure that the comfortable requirement of indoor environment user, and can meet energy-conservation
The target of consumption reduction.
As shown in Fig. 2 a kind of comfortable energy-saving control method of home furnishings intelligent based on Consumer's Experience, comprises the following steps：
If step 1, user feel to feel uncomfortable to indoor environment, it can complain that software is sent to room by mobile phone
Complaint information, these information are stored in the database on backstage caused by interior environment.
These complaint information are carried out learning training by step 2, decision system by the method for machine learning, and generation meets people
The ambient parameter information of body comfort requirement.
Step 3, apparatus control system make its scope be located at caused by step 2 and meet human comfort by adjusting ambient parameter
Ambient parameter in the range of, to meet the requirement of human body comfort.
The system is made up of software section, hardware components two large divisions, and hardware components include computer, Indoor Environment Detection
Sensor (including temperature, relative humidity, CO2Concentration etc. monitors sensor) etc.；Software section is mainly room conditioning control
The control program of device processed, the data recording program and mobile terminal App of Cloud Server, software module major function 1. are responsible for note in real time
Record the value of each moment indoor environment parameter, such as indoor temperature, relative humidity, CO2The situations of change such as concentration；2. user
Whether comfortable is felt to current environment humiture in indoor environment, if feel to occur to uncomfortable.In the event of not
Comfortable to feel, the temperature and humidity value at current time is just recorded, is stored in server database by system, i.e., uncomfortable
Point, when acquiring more uncomfortable point, training set of the system using these uncomfortable points as machine learning, by training, learning
Practise, predict and meet people's comfort level temperature humidity range under current indoor environment, as zone of comfort, finally by regulation room
Environment is that humiture is located at zone of comfort, it is met that people's indoor environment comfortably requires.
Described one kind is based on Consumer's Experience indoor environmental condition control system, it is characterized in that：Will by way of man-machine interaction
People include to the uncomfortable information gathering of indoor environment to background data base, these uncomfortable information：When people produce not
During comfortable sensation, the temperature of the moment indoor environment, the information of relative humidity, uncomfortable point is designated as.It is main by control decision
Machine learning algorithm is wanted, these uncomfortable points are trained, learnt, predict the comfortable temperature of people under indoor environment, phase
To humidity range, referred to as zone of comfort.
System obtains the zone of comfort of user under indoor environment by study, carries out intelligent control to air-conditioning system, makes
Temperature, the relative humidity of indoor environment are maintained in the range of user is comfortable on.System not only ensure that indoor environment user
Comfortable requirement, and energy-saving target can be met.
The system is controller by the processor STM32F407VG of an ARM Cortex-M4 kernel, WIFI module, after
Electrical equipment, air-conditioning system, indoor air chemical pollution Sensor box composition a hardware system, Cloud Server data storage software and
User's mobile terminal App softwares detected in real time uncomfortable to indoor environment.User need to only send oneself by mobile terminal APP
Uncomfortable information, system are learnt on backstage by control decision using the uncomfortable information of user, predict indoor environment
Humiture zone of comfort, so as to which intelligent control air-conditioning system meets the comfort requirement of user, user need not artificially control
Air-conditioning system, rely solely on the system can Intelligent adjustment indoor environment, reach the target of comfortableness and energy saving.
The foregoing is only a preferred embodiment of the present invention, protection scope of the present invention not limited to this, any ripe
Those skilled in the art are known in the technical scope of present disclosure, the letter for the technical scheme that can be become apparent to
Altered or equivalence replacement are each fallen within protection scope of the present invention.
Claims (5)
1. the comfortable energy-saving control system of a kind of home furnishings intelligent based on Consumer's Experience, it is characterised in that including data collection layer, set
Standby key-course, accumulation layer, functional layer and alternation of bed；
The data collection layer obtains the current ambient parameter data of indoor and outdoor by environmental sensor in real time, and by data transfer
Stored to accumulation layer in MySQL database；
The equipment key-course is used for the control command for performing the decision system from functional layer, by indoor environment equipment to ring
Border dynamic control；
The data and information that the accumulation layer is used to generate when indoor environment equipment is run are stored, and on the one hand it will be to ring
The indoor and outdoor surroundingses data of border monitoring sensor collection are recorded and transmitted to equipment key-course the decision system of functional layer
Caused control command；On the other hand it will also be the decision system progress data, services generation of functional layer to indoor environment equipment
Control strategy, while upwards for alternation of bed transmit data source；
The functional layer includes server and decision system, for controlling layer data and alternation of bed with equipment respectively to accumulation layer
Data transfer is controlled；PC browsers and Android phone end software in operation layer, will be provided by http-server
Communication interface carry out data transfer, so as to being interacted with control system；The decision system of functional layer by server end come
It is responsible for collecting the complaint information of environmental data and user to indoor environment, produces control strategy, control is provided to equipment key-course
System order；Decision system using do not stop from accumulation layer transmit come data, control strategy is dynamically updated；
The alternation of bed is used to support interacting for user and control system, and it is the side for employing Android software that it, which is mainly realized,
Formula；After user is mounted with the client on mobile phone, the situation of current indoor environment is understood, user utilizes the client to control
System sends oneself the complaint information to current indoor environment, and control system can be mainly cold according to the complaint information of user
Heat complaint, with reference to the real time data of indoor environment and the running status of current each environmental unit, utilize the side of machine learning
Method generates Optimal Control Strategy to indoor environment, reaches user and comfortably requires；Complain information, control system for other types
System directly meets that user requires by regulating and controlling related environmental unit；User controls indoor equipment using PC browsers and checks room
Interior environmental information.
2. the comfortable energy-saving control system of the home furnishings intelligent according to claim 1 based on Consumer's Experience, it is characterised in that institute
State in equipment key-course, system has air-conditioning, light for the control that user designs, and humidifier controls, the environmental unit of ventilation fan
Control.
3. the comfortable energy-saving control system of the home furnishings intelligent according to claim 1 based on Consumer's Experience, it is characterised in that institute
State and do not stop to transmit the data of coming from accumulation layer, including user complain information, environmental sensor detect indoor environment data and
The data of indoor equipment running situation.
4. the comfortable energy-saving control system of the home furnishings intelligent according to claim 1 based on Consumer's Experience, it is characterised in that institute
State complaint information to current indoor environment include it is too cold, too hot, too dry, overly wet, too dizzy, too dark, too vexed uncomfortable
Feel.
5. the comfortable energy-saving control method of a kind of home furnishings intelligent based on Consumer's Experience, it is characterised in that comprise the following steps：
If step 1, user feel to feel uncomfortable to indoor environment, complain that software is sent by mobile phone and indoor environment is produced
Raw complaint information, these information are stored in the database on backstage；
These complaint information are carried out learning training by step 2, decision system by the method for machine learning, and generation meets that human body relaxes
Suitable desired ambient parameter information；
Step 3, apparatus control system are located at its scope by adjusting ambient parameter and meet the ring of human comfort caused by step 2
In the parameter area of border, to meet the requirement of human body comfort.
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| WO2019114489A1 (en) * | 2017-12-15 | 2019-06-20 | Midea Group Co., Ltd. | Machine learning control of environmental systems |
| CN110360725A (en) * | 2018-04-10 | 2019-10-22 | Lg电子株式会社 | The driving and control method of air conditioner, Cloud Server, air conditioner |
| CN110848900A (en) * | 2019-10-12 | 2020-02-28 | 珠海格力电器股份有限公司 | Temperature regulation and control system and method based on embedded linux real-time operating system |
| CN111373206A (en) * | 2018-03-14 | 2020-07-03 | 株式会社东芝 | Air conditioning control device, air conditioning system, air conditioning control method, and program |
| CN113531795A (en) * | 2018-10-11 | 2021-10-22 | 富士通将军股份有限公司 | Air conditioner, data transmission method and air conditioning system |
| CN113847714A (en) * | 2021-06-29 | 2021-12-28 | 浪潮软件科技有限公司 | Household edge computing-based automatic indoor environment adjusting method and device |
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| WO2019114489A1 (en) * | 2017-12-15 | 2019-06-20 | Midea Group Co., Ltd. | Machine learning control of environmental systems |
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| CN113531795A (en) * | 2018-10-11 | 2021-10-22 | 富士通将军股份有限公司 | Air conditioner, data transmission method and air conditioning system |
| CN113531795B (en) * | 2018-10-11 | 2022-11-22 | 富士通将军股份有限公司 | Air conditioner, data transmission method, and air conditioning system |
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| CN110848900B (en) * | 2019-10-12 | 2020-11-24 | 珠海格力电器股份有限公司 | Temperature regulation and control system and method based on embedded linux real-time operating system |
| CN110848900A (en) * | 2019-10-12 | 2020-02-28 | 珠海格力电器股份有限公司 | Temperature regulation and control system and method based on embedded linux real-time operating system |
| CN113847714A (en) * | 2021-06-29 | 2021-12-28 | 浪潮软件科技有限公司 | Household edge computing-based automatic indoor environment adjusting method and device |
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Application publication date: 20171117 |