CN109358522A - A kind of intelligent home furnishing control method and device based on cloud computing and big data - Google Patents
A kind of intelligent home furnishing control method and device based on cloud computing and big data Download PDFInfo
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- CN109358522A CN109358522A CN201811404187.6A CN201811404187A CN109358522A CN 109358522 A CN109358522 A CN 109358522A CN 201811404187 A CN201811404187 A CN 201811404187A CN 109358522 A CN109358522 A CN 109358522A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a kind of intelligent home furnishing control method and device based on cloud computing and big data, it is related to Smart Home technical field, wherein, the intelligent home furnishing control method based on cloud computing and big data includes: first, data collection station acquires smart home in the running state data of different moments, and running state data is sent to region server, secondly, region server pre-processes running state data, and pretreated running state data is sent to cloud computing platform, then, cloud computing platform is according to the operational mode of running state data computational intelligence household, and, the operation and control information of smart home is inferred to based on operational mode, later, operation and control information is sent to user terminal by cloud computing platform, to control the operation of smart home, the big data that smart home generates in this way can be in cloud Computing platform carries out operation, and then generates operation and control information, so that user be made more easily to control smart home.
Description
Technical field
The present invention relates to Smart Home technical field, in particular to a kind of smart home control based on cloud computing and big data
Method and device processed.
Background technique
With the development of science and technology, the application of smart home is gradually popularized.Smart home mainly passes through technology of Internet of things for family
In various equipment (for example, the control of audio & video equipment, lighting system, curtain, airconditioning control, security system, digital camera system
System, video server, shadow cabinet system, network home appliance etc.) connect together, thus for people provide home wiring control, Lighting control,
The multiple functions of anti-theft and alarm, environmental monitoring control, HVAC control etc..Compared with common household, smart home not only has
There is traditional use function, additionally it is possible to comprehensive information exchange function be provided, enabled people to through user terminal come long-range
It controls it, it is convenient and efficient.
However, in actual use, since the type of smart home is more, also, each smart home is being transported
A large amount of operation data can be all generated during row.During people remotely control to smart home, need first to obtain
In due course control can be just carried out to it after getting the operation data of each smart home, for example, people are wanted before leaving offices by family
In heating be adjusted to 25 degree, in this case, people will first get the real time temperature of heating by user terminal, it
Afterwards, the power regulation of progress required for heating reaches 25 degree is calculated according to the real time temperature.In some cases, when people want
When the type of the smart home of control is more, user terminal will also obtain multiple operation numbers of different types of smart home simultaneously
According to, and processing is carried out to further assign the specific control instruction to multiple smart homes to multiple operation datas.With intelligence
Energy household is gradually popularized, and above-mentioned control methods are not obviously able to satisfy the use demand of user.
Summary of the invention
The embodiment of the invention provides a kind of intelligent home furnishing control method and device based on cloud computing and big data, thus
Solve the problems, such as that user can not easily control smart home.
To solve the above-mentioned problems, the invention discloses following technical solutions:
In a first aspect, providing a kind of intelligent home furnishing control method based on cloud computing and big data, comprising:
Data collection station acquires running state data of the smart home in different moments, and, by the operating status number
According to being sent to region server；
The region server pre-processes the running state data, and, by the pretreated operation shape
State data are sent to cloud computing platform；
Data calculate the operational mode of the smart home to the cloud computing platform according to the operation state, and, it is based on
The operational mode is inferred to the operation and control information of the smart home；
The operation and control information is sent to user terminal by the cloud computing platform, so that the user terminal controls
The operation of the smart home.
With reference to first aspect, in a kind of possible embodiment, the data collection station acquisition smart home is not
Running state data in the same time, and, the step of running state data is sent to the region server, comprising:
The data collection station is set on the smart home, wherein the data collection station include it is a variety of not
The data collector of same type, and, every kind of data collector is used to acquire a kind of operation of the smart home
Status data；
The last moment collected running state data is denoted as first state number by every kind of data collector
According to, and, the first state data are sent to the region server；
The current time collected running state data is denoted as the second status number by every kind of data collector
According to, and, second status data is sent to the region server.
With reference to first aspect, in a kind of possible embodiment, the region server is to the running state data
It is pre-processed, and, the step of pretreated running state data is sent to cloud computing platform, comprising:
The region server obtains the user identifier of the user terminal；
The region server is respectively that the first state data and second status data add user's mark
Know；
The region server is by the first state data for being added to the user identifier and second status number
According to being sent to the cloud computing platform.
With reference to first aspect, in a kind of possible embodiment, the method also includes:
When the user identifier that the region server is got has multiple, the region server is according to the use
The difference of family mark extracts data corresponding with the user identifier from the first state data, and, by the use
Family mark is added in the first state data extracted；
The region server according to the difference of the user identifier extract from second status data with it is described
The corresponding data of user identifier, and, the user identifier is added in second status data extracted；
The region server is by the first state data for being added to the user identifier and second status number
According to being sent to the cloud computing platform.
With reference to first aspect, in a kind of possible embodiment, the cloud computing platform counts according to the operation state
According to the operational mode for calculating the smart home, and, the operation control of the smart home is inferred to based on the operational mode
The step of information, comprising:
The cloud computing platform calculates the first state data and second state of the same user identifier
Difference between data, until traversing all user terminals；
The cloud computing platform determines the operational mode of the smart home according to the size of the difference, wherein described
The corresponding relationship of operational mode and the difference pre-establishes；
The cloud computing platform searches operation information corresponding with the operational mode, and, in conjunction with the difference and look into
The operation information found infers the smart home in the operation and control information of subsequent time.
With reference to first aspect, in a kind of possible embodiment, the cloud computing platform is by the operation and control information
It is sent to user terminal, so that the step of operation of the user terminal to control the smart home, comprising:
The operation and control information for the subsequent time that the cloud computing platform will conclude that is sent to the user terminal；
The user terminal is used to control the fortune that the smart home is run in conjunction with second status data selection
Row control information；
The operation and control information selected is sent to the smart home by the user terminal, to control the intelligence
The operation of energy household.
With reference to first aspect, in a kind of possible embodiment, lead between the smart home and the user terminal
Network is crossed to be connected.
Second aspect provides a kind of intelligent home control device based on cloud computing and big data, comprising:
Data acquisition module, the running state data for data collection station acquisition smart home in different moments, and,
The running state data is sent to region server；
Preprocessing module pre-processes the running state data for the region server, and, it will pre-process
The running state data afterwards is sent to cloud computing platform；
Computing module, for the cloud computing platform, data calculate the operation of the smart home according to the operation state
Mode, and, the operation and control information of the smart home is inferred to based on the operational mode；
The operation and control information is sent to user terminal for the cloud computing platform by operation control module, so that
The user terminal controls the operation of the smart home.
The invention discloses a kind of intelligent home furnishing control method and device based on cloud computing and big data, wherein the base
It include: firstly, data collection station acquires smart home when different from the intelligent home furnishing control method of big data in cloud computing
The running state data at quarter, also, running state data is sent to region server, it will be clear that above-mentioned intelligence
The number of household is usually multiple, also, the geographic range that smart home is covered is wider, secondly, region server is to operation
Status data is pre-processed, also, pretreated running state data is sent to cloud computing platform, then, cloud computing
Platform is inferred to smart home based on operational mode according to the operational mode of running state data computational intelligence household
Operation and control information is sent to user terminal by operation and control information, later, cloud computing platform, so that user terminal controls intelligence
The operation of energy household.This method can focus on the status number of smart home in the process of running by cloud computing platform
According to, and then generate operation and control information, compared with existing processing mode, data magnitude that cloud computing platform can be handled greatly,
Speed is fast, thus multiple operation datas of the different types of smart home of energy, and generates multiple operation and control informations accordingly, from
And enable each user terminal and control according to operation and control information the operation conditions of smart home, it is convenient and efficient.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the process signal of the intelligent home furnishing control method based on cloud computing and big data in one embodiment of the invention
Figure.
Fig. 2 is the structural representation of the intelligent home control device based on cloud computing and big data in one embodiment of the invention
Figure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments, based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In recent years, smart home is gradually popularized in people's lives, in the process of running due to each smart home
A large amount of operation data will be generated.In existing control process, people need first to get each intelligence by user terminal
The operation data of energy household calculated corresponding control instruction later, can just carry out in due course control to it later.In some feelings
Under condition, when the type that people want the smart home of control is more, controlling terminal will also obtain different types of intelligence simultaneously
Multiple operation datas of household, and processing is carried out to further assign to the specific of multiple smart homes to multiple operation datas
Control instruction.Since the substantial amounts of smart home operation data, the use that above-mentioned control methods are not obviously able to satisfy user needs
It asks.
Based on this, the embodiment of the invention provides a kind of intelligent home furnishing control method and dress based on cloud computing and big data
It sets, is described below by embodiment.
Embodiment one
Fig. 1 is the process signal of the intelligent home furnishing control method based on cloud computing and big data in one embodiment of the invention
Figure, proposes a kind of intelligent home furnishing control method based on cloud computing and big data, specifically includes the following steps:
Step S101: data collection station acquires running state data of the smart home in different moments, and, shape will be run
State data are sent to region server.
The hardware device being related in the present embodiment specifically includes that data collection station, region server, cloud computing platform
And user terminal.Above-mentioned data collection station is connected with smart home, i.e., data collection station directly acquires smart home
All data in the process of running.In general, the running state data of data collection station acquisition includes but is not limited to intelligent family
The electricity consumption data in residence, temperature data, humidity data etc., the operating condition for representing smart home in order to be more accurate, number
Two are no less than according to the data class that acquisition terminal acquires every kind of smart home.
Data collection station, region server, cloud computing platform and user terminal, which are sequentially connected, to be connect, due to smart home
Locating geographical location is variant, in order to focus on smart home with geographic area is boundary, is arranged here more
A region server, to can make at each region server concentration when the geographic range that smart home is covered is larger
The operating condition of smart home in geographic range belonging to managing.In addition, it is noted that leading between smart home and user terminal
It crosses network to be connected, it is preferred that be connected between smart home and user terminal by wireless network, to facilitate people logical in distal end
User terminal is crossed to control smart home.
In specific implementation process, above-mentioned steps S101 is specifically included:
(1) data collection station is set on smart home, wherein data collection station includes a variety of different types of numbers
According to collector, also, every kind of data collector is used to acquire a kind of running state data of smart home.
Since the running state data for the smart home to be acquired includes a variety of, correspondingly, including in data collection station
A variety of different types of data collectors, each data collector are connected (by physics cable or net with smart home
Network signal etc.), it is both provided with acquisition sensor, inside every kind of data collector to acquire when data collector works
A kind of running state data of smart home.Multiple acquisition sensors are provided with simultaneously inside data collector, then, number
A variety of running state datas of smart home can be accordingly acquired when working according to collector.
(2) last moment collected running state data is denoted as first state data by every kind of data collector, and,
First state data are sent to region server.
The operational process of smart home is continuously, in order to effectively determine the running state data of smart home.Implementing
In the process, using the strategy of acquisition time, i.e., it is classified as last moment and current time according to certain time interval, this
In, the time interval between last moment and current time can carry out flexible setting.Every kind of data collector can be by upper one
The running state data of moment collected smart home is denoted as first state data, for example, temperature data acquisition device is small by XX
The running state data of the temperature and humidity of the air-conditioning of Mr. Wang family in area etc. is denoted as first state data, also, by first
Status data is sent to region server, wherein the region server is corresponding with XX cell.
(3) current time collected running state data is denoted as the second status data by every kind of data collector, and,
Second status data is sent to region server.
Continue to be illustrated with above example, at the current time for being separated by certain time interval with last moment, often
The running state data of collected smart home is denoted as the second status data by kind data collector, for example, temperature data
The running state data at the current times such as the temperature of the air-conditioning of the Mr. Wang family in XX cell and humidity is denoted as second by collector
Status data, also, the second status data is sent to region server, region server here is still corresponding with XX cell
's.
Step S102: region server pre-processes running state data, and, by pretreated operating status number
According to being sent to cloud computing platform.
In implementation process, region server pre-processes in addition to including to reception running state data in above-mentioned steps
To running state data carry out the routine operations such as interference, de-jitter, also specifically include:
(1) region server obtains the user identifier of user terminal.
Due to the first state data and the second shape of the smart home in the correspondingly received affiliated geographic range of region server
State data, and the type and quantity of the smart home in affiliated geographic range are various, in addition use corresponding to every kind of smart home
Family terminal is all possibly different from (for example, the master bedroom air-conditioning of the Mr. Wang family in XX cell is controlled by the user terminal of Mr. Wang
System, the master bedroom air-conditioning of Mr. Wang family are controlled by the user terminal of Mrs Wang).
In order to realize being precisely controlled for later period according to first state data and the second status data, region server, which obtains, to be used
The user identifier of family terminal, acquisition method is that first the geographical location locating for the smart home carries out primary dcreening operation, later, when region takes
After business device monitors the user terminal for having interactive relation with smart home or data collection station, region server obtains the use
The user identifier of family terminal, it should be noted that user identifier be with the one-to-one symbolic code of user terminal, the symbolic code
Form is not specifically limited, the common phone number for user terminal.
(2) region server is respectively first state data and the second status data addition user identifier.
After getting user identifier, above-mentioned user identifier is added to first state data and the second shape by region server
In state data, the second status data of the first state data and current time that make last moment can be transferred through user identifier and use
Family terminal is mapped, in this way, facilitating the subsequent corresponding user terminal of lookup to control smart home.
(3) after, region server sends the first state data for being added to user identifier and the second status data
To cloud computing platform, cloud computing platform is made to focus on above-mentioned first state data and the second status data.
In addition, in implementation process when the corresponding first state data of multiple and different user terminals and the second status data simultaneously
After incoming region server, the above method further include:
(1) when the user identifier that region server is got has multiple, region server according to user identifier difference
Data corresponding with user identifier are extracted from first state data, i.e. region server will own in first state data
The corresponding data of identical user identifier, which extract, is divided into one group, in this way, first state data are divided into multiple groups, also,
User identifier is added in the first state data extracted, i.e., user identifier is respectively added to extract by region server
In every group of data out, so that first state data are divided into multiple groups corresponding with user identifier, also, in each group
There is corresponding user identifier.
(2) likewise, region server extracts and user's mark according to the difference of user identifier from the second status data
Sensible corresponding data, i.e. region server extract the corresponding data of identical user identifiers all in the second status data
It is divided into one group, in this way, the second status data is divided into multiple groups, also, user identifier is added to second extracted
In status data, i.e., user identifier is respectively added in the every group of data extracted by region server, so that the second state
Data are divided into multiple groups corresponding with user identifier, also, have corresponding user identifier in each group.
(3) after, region server sends the first state data for being added to user identifier and the second status data
To cloud computing platform.
Step S103: cloud computing platform according to the operational mode of running state data computational intelligence household, and, based on operation
Pattern inference goes out the operation and control information of smart home, specifically includes in implementation process:
(1) cloud computing platform calculates the difference between the first state data of the same user identifier and the second status data
Value, until traversing all user terminals.
Cloud computing platform is also referred to as cloud platform, and cloud computing platform can be divided into three classes: with data store based on storage
Type cloud platform, the synthesis cloud computing that calculation type cloud platform and calculating and data storage processing based on data processing are taken into account are flat
Platform, cloud computing platform is mainly using the synthesis cloud computing platform calculated and data storage processing is taken into account in the present embodiment.The cloud
Computing platform data-handling capacity is strong, and user terminal can be accessed whenever and wherever possible by connecting network, without territory restriction.
In implementation process, cloud computing platform accounting counts stating the first state number of the same user identifier in same group in
According to the difference between the second status data, i.e., subtraction is done with the running state data at last moment and current time, obtain two
Difference between person.The operation conditions of the corresponding smart home of the same user identifier is measured by the difference.To each
User identifier corresponding to user terminal all uses identical way, and the user identifier corresponding to all user terminals is all counted
Until having calculated.
For example, last moment, temperature data acquisition device is by the operating status of the temperature of the air-conditioning of the Mr. Wang family in XX cell
Data are denoted as first state data (35 degree of room temperature), current time, and temperature data acquisition device is by the sky of the Mr. Wang family in XX cell
The running state data of the temperature of tune is denoted as the second status data (temperature is 18 degree), and in this case, cloud computing platform calculates
Difference out is 17 degree.
(2) cloud computing platform determines the operational mode of smart home according to the size of difference, it should be noted that operation mould
The corresponding relationship of formula and difference pre-establishes.Since the operation of smart home is continuous, the fortune of different smart homes
Corresponding relationship between row mode and size of the difference is different, in implementation process, for different types of smart home, adopts respectively
Relationship is carried out with priori data to determine, for example, acquire operational mode of some smart home within the whole service period and its
Corresponding difference.In this way, cloud computing platform can determine that smart home by searching for the size of difference in implementation process
Operational mode.
The still above example is illustrated, it is assumed that in the known corresponding relationship pre-established, operational mode (refrigeration is opened)
It is corresponding with difference (10 degree of -20 degree), in this way, cloud computing platform judges that 17 degree are in the range of 10 degree of -20 degree, in this way,
Determine that the operational mode of the air-conditioning is opened for refrigeration.
(3) after, cloud computing platform searches operation information corresponding with operational mode, and here, operation information can be
The running state data etc. of subsequent time smart home, also, cloud computing platform can be in conjunction with difference and the operation found letter
Breath infers smart home in the operation and control information of subsequent time, i.e., calculating the smart home according to difference and operation information can
With controlled operation and control information.
Step S104: operation and control information is sent to user terminal by cloud computing platform, so that user terminal controls intelligence
Can household operation, specifically include in implementation process:
(1) after, the operation and control information for the subsequent time that cloud computing platform will conclude that is sent to user terminal, logical
In normal situation, there are many operation and control information meetings, for example, the fortune that above-mentioned air-conditioning under the situation that refrigeration is opened, can receive again
Row control information includes that cryogenic temperature increases, cryogenic temperature maintains and cryogenic temperature reduces by three kinds of operation and control informations.
(2) in this way, user terminal can be used to control the operation control of smart home operation in conjunction with the selection of the second status data
Information processed, if the satisfaction that (temperature is 18 degree) has had exceeded user specifically, the second status data, then user terminal
Optional cryogenic temperature increases this operation and control information；If the second status data (temperature is 18 degree) has had reached user
Satisfaction, then user terminal may be selected cryogenic temperature maintain this operation and control information；If the second status data (temperature
It is 18 degree) it is still not up to the satisfaction of user, then cryogenic temperature, which may be selected, in user terminal reduces this operation and control information.
(3) after, the operation and control information selected is sent to smart home by user terminal, to control under smart home
The operation conditions of one step.
The invention discloses a kind of intelligent home furnishing control method and device based on cloud computing and big data, this method are specific
It include: firstly, data collection station acquires running state data of the smart home in different moments, also, by operating status number
According to region server is sent to, secondly, region server pre-processes running state data, also, will be pretreated
Running state data is sent to cloud computing platform, and then, cloud computing platform is according to the fortune of running state data computational intelligence household
Row mode, also, it is inferred to based on operational mode the operation and control information of smart home, later, cloud computing platform will operation control
Information processed is sent to user terminal, to effectively control the operation of the next step of smart home by user terminal.It is above-mentioned
Method can focus on the big data of smart home in the process of running by cloud computing platform, and generate operation control letter
Breath enables each user terminal and conveniently controls according to operation and control information the operation conditions of smart home.
Embodiment two
Fig. 2 is the structural representation of the intelligent home control device based on cloud computing and big data in one embodiment of the invention
Figure, proposes a kind of intelligent home control device based on cloud computing and big data, comprising:
Data acquisition module 10, the running state data for data collection station acquisition smart home in different moments,
And running state data is sent to region server；
Preprocessing module 20 pre-processes running state data for region server, and, by pretreated fortune
Row status data is sent to cloud computing platform；
Computing module 30, for cloud computing platform according to the operational mode of running state data computational intelligence household, and, base
The operation and control information of smart home is inferred in operational mode；
Operation and control information is sent to user terminal for cloud computing platform by operation control module 40, so that user is whole
It holds to control the operation of smart home.
Intelligent home control device provided in an embodiment of the present invention based on cloud computing and big data, with above-described embodiment one
The technical characteristic having the same of the intelligent home furnishing control method based on cloud computing and big data provided, so also can solve identical
The technical issues of, reach identical technical effect.
It should be noted that, in this document, such as first and second etc relational terms are used merely to an entity
Or operation is distinguished with another entity or operation, is existed without necessarily requiring or implying between these entities or operation
Any actual relationship or order.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-
It is exclusive to include, so that the process, method, article or equipment for including a series of elements not only includes those elements,
It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or equipment
Some elements.In the absence of more restrictions, the element limited by sentence " including one ", is not arranged
Except there is also other identical factors in the process, method, article or apparatus that includes the element.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can store in computer-readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
In the various media that can store program code such as disk.
Finally, it should be noted that the foregoing is merely presently preferred embodiments of the present invention, it is merely to illustrate skill of the invention
Art scheme, is not intended to limit the scope of the present invention.Any modification for being made all within the spirits and principles of the present invention,
Equivalent replacement, improvement etc., are included within the scope of protection of the present invention.
Claims (8)
1. a kind of intelligent home furnishing control method based on cloud computing and big data characterized by comprising
Data collection station acquires running state data of the smart home in different moments, and, the running state data is sent out
Give region server；
The region server pre-processes the running state data, and, by the pretreated operating status number
According to being sent to cloud computing platform；
Data calculate the operational mode of the smart home to the cloud computing platform according to the operation state, and, based on described
Operational mode is inferred to the operation and control information of the smart home；
The operation and control information is sent to user terminal by the cloud computing platform, so that the user terminal is described to control
The operation of smart home.
2. the method according to claim 1, wherein the data collection station acquires smart home when different
The running state data at quarter, and, the step of running state data is sent to the region server, comprising:
The data collection station is set on the smart home, wherein the data collection station includes a variety of inhomogeneities
The data collector of type, and, every kind of data collector is used to acquire a kind of operating status of the smart home
Data；
The last moment collected running state data is denoted as first state data by every kind of data collector,
And the first state data are sent to the region server；
The current time collected running state data is denoted as the second status data by every kind of data collector,
And second status data is sent to the region server.
3. according to the method described in claim 2, it is characterized in that, the region server carries out the running state data
Pretreatment, and, the step of pretreated running state data is sent to cloud computing platform, comprising:
The region server obtains the user identifier of the user terminal；
The region server is respectively that the first state data and second status data add the user identifier；
The region server is equal by the first state data and second status data that are added to the user identifier
It is sent to the cloud computing platform.
4. according to the method described in claim 3, it is characterized in that, the method also includes:
When the user identifier that the region server is got has multiple, the region server is marked according to the user
The difference of knowledge extracts data corresponding with the user identifier from the first state data, and, the user is marked
Knowledge is added in the first state data extracted；
The region server extracts and the user from second status data according to the difference of the user identifier
Corresponding data are identified, and, the user identifier is added in second status data extracted；
The region server is equal by the first state data and second status data that are added to the user identifier
It is sent to the cloud computing platform.
5. according to the method described in claim 4, it is characterized in that, cloud computing platform data meter according to the operation state
The operational mode of the smart home is calculated, and, the operation and control information of the smart home is inferred to based on the operational mode
The step of, comprising:
The cloud computing platform calculate the same user identifier the first state data and second status data
Between difference, until traversing all user terminals；
The cloud computing platform determines the operational mode of the smart home according to the size of the difference, wherein the operation
The corresponding relationship of mode and the difference pre-establishes；
The cloud computing platform searches operation information corresponding with the operational mode, and, in conjunction with the difference and find
The operation information infer the smart home in the operation and control information of subsequent time.
6. according to the method described in claim 2, it is characterized in that, the cloud computing platform sends the operation and control information
To user terminal, so that the step of operation of the user terminal to control the smart home, comprising:
The operation and control information for the subsequent time that the cloud computing platform will conclude that is sent to the user terminal；
The user terminal is used to control the operation control that the smart home is run in conjunction with second status data selection
Information processed；
The operation and control information selected is sent to the smart home by the user terminal, to control the intelligent family
The operation in residence.
7. the method according to claim 1, wherein passing through net between the smart home and the user terminal
Network is connected.
8. a kind of intelligent home control device based on cloud computing and big data characterized by comprising
Data acquisition module, the running state data for data collection station acquisition smart home in different moments, and, by institute
It states running state data and is sent to region server；
Preprocessing module pre-processes the running state data for the region server, and, it will be pretreated
The running state data is sent to cloud computing platform；
Computing module, for the cloud computing platform, data calculate the operation mould of the smart home according to the operation state
Formula, and, the operation and control information of the smart home is inferred to based on the operational mode；
The operation and control information is sent to user terminal for the cloud computing platform, so that described by operation control module
User terminal controls the operation of the smart home.
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