CN106054630A - Smart home control system based on cloud task scheduling - Google Patents
Smart home control system based on cloud task scheduling Download PDFInfo
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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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- 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] or computer integrated manufacturing [CIM]
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- 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
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Abstract
The invention discloses a smart home control system based on cloud task scheduling. The system comprises a cloud server, a plurality of user sides and a plurality of smart home devices; the system enables family members and friends thereof to remotely control the smart home devices via a cloud system architecture; when the family members cannot remotely control the smart home devices, the friends can be entrusted to control; moreover, screening and scheduling of cloud task commands are controlled according to the trust of the family members and the trust of the friends, so that the security of control is improved while entrusted control of the smart home devices is realized; meanwhile, a plurality of same remote task commands from a plurality of users are selected, so that unnecessary task transmission and network overhead are reduced, unnecessary loss of the smart home devices is avoided, and the accuracy of remote control on the smart home devices is improved.
Description
[technical field]
The present invention relates to technical field of intelligent home control, particularly relate to a kind of Smart Home control based on cloud task scheduling
System processed.
[background technology]
Since Intelligent housing technology develops, people can facilitate, in time remote control home occupy equipment, but
Existing Smart Home is typically to be controlled by kinsfolk, if kinsfolk is in the state that network cannot connect, then without
Intelligent home device is the most remotely controlled by method.
Therefore, when intelligent home device is remotely controlled by multiple kinsfolks inconvenience, multiple good friend can be entrusted
It is controlled on behalf of to intelligent home device, although some intelligent home control system the most also introduces good friend's concept, but
The trust degree of good friend is not analyzed, and different home member also has different credibilitys, if the most not to
If the credibility of family end is evaluated, certainly exist potential safety hazard.
On the other hand, between kinsfolk, information communication is not in time, it is also possible to there is multiple good friend by different home member
Entrust so that one family member and other kinsfolks or the good friend entrusted with other kinsfolks, all to same intelligent family
Multiple same remote task orders are sent, thus for same intelligent home device short period domestic demand in occupying the equipment short time
Receive the multiple same remote task orders from multiple user sides, if not selected for multiple remote task orders
If, then receive multiple same task orders in necessarily increasing unnecessary multiplexed transport and network overhead, and short time
This intelligent home device internal microprocessor is in frequent analysis process, adds the consumption that intelligent home device is unnecessary
Damage, relative reduction service life of this intelligent home device, just the most also have impact on this intelligent home device
Really run, it is impossible to this intelligent home device is performed correct long-range control.
[summary of the invention]
In order to solve the problems referred to above of the prior art, the present invention proposes a kind of Smart Home based on cloud task scheduling
Control system, its technical scheme is as follows:
A kind of intelligent home control system based on cloud task scheduling, it is characterised in that include cloud server, Duo Geyong
Family end and multiple intelligent home device, wherein,
Described user side is used for issuing remote task order；
Described cloud server includes user management module, cloud storage module, task scheduling modules；
Described cloud storage module is for storing the related data of described intelligent home control system, including initiating task data
Storehouse and user credit degrees of data storehouse；Described initiating task data base deposits described user side information and the remote task life issued
Order；Described user credit degrees of data library storage user profile and the credit information of described user；
Described user management module includes that users to trust degree analyzes submodule；Described users to trust degree analyze submodule based on
Users to trust degree is analyzed by the social relations in user identity and community network, determines users to trust degree and is stored in described
In users to trust degrees of data storehouse；
Described task scheduling modules includes that task receives submodule, task analysis submodule, degree of belief decision sub-module；Its
In, described task receives submodule and receives the remote task order from the plurality of user side, and is stored in initiating task number
According in storehouse；Described task analysis submodule extracts described from described initiating task data base and described users to trust degrees of data storehouse
The content of task order, described user side information and described user credit degree；Described degree of belief decision sub-module judges described use
Family degree of belief also transmits task order to described intelligent home device；
Described intelligent home device includes microprocessor, wireless communication module and smart machine, wherein said microprocessor
Receive the task order from described cloud server end by described wireless communication module, control described smart machine and run.
Described cloud server also includes scheduler task data base, and described task decision sub-module is from described users to trust degree
Data base querying issues the described users to trust degree priority of the multiple described user side of same remote task order, by described use
Family credit rating priority is set to the priority of the task order that described user side is issued, and is stored in described scheduler task data
Storehouse, and from described scheduler task data base, retrieve the high task order of priority be transferred to described intelligent home device；
Preferably, described degree of belief decision sub-module includes users to trust degree threshold value, described degree of belief decision sub-module root
According to described user trust angle value and described users to trust degree threshold ratio relatively, will be less than the described use of described users to trust degree threshold value
Family task order is deleted from described initiating task data base, will be not less than the described user task of described users to trust degree threshold value
Order stores in described scheduler task data base；
Preferably, described users to trust degree threshold value can be arranged.
Described cloud storage module also includes that user ID data storehouse, described user identity are set as that kinsfolk's identity is become reconciled
Friend's identity；
Described users to trust degree is analyzed submodule and is judged that the process of users to trust degree realizes based on formula (1),
f(ui)=wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1), wherein f (ui) it is user uiDegree of belief,
wx、wyIt is allocated to described different user identity weight, s (u respectivelyi) and g (ui) for selecting function, described wxDescribed for distributing to
The weight of kinsfolk's identity, described wyBeing allocated to the weight of described good friend's identity, the degree of belief of described kinsfolk is higher than
The credit rating of its good friend's identity, therefore makes wx=n × wy, n > 1, n are positive integer；z(ui) it is degree of belief；
Preferably, as user uiFor s (u during kinsfolk's identityi) be 1, g (ui) it is 0；As user uiFor s during good friend's identity
(ui) be 0, g (ui) it is 1；
Preferably, as user uiFor good friend's identity, and set good friend u2, u3, u4, u5, u6, u7And wx=1, wy=0.5,
Described good friend u2, u3, u4, u5, u6, u7Degree of belief be respectively f (u2)=0+0.5 × 1 × 0.2=0.1, f (u3)=0+0.5 × 1
× 0.4=0.2, f (u4)=0+0.5 × 1 × 0.6=0.3, f (u5)=0+0.5 × 1 × 0.8=0.4, f (u6)=0+0.5 × 1
× 1.0=0.5, f (u7)=0+0.5 × 1 × 1.2=0.6；
Preferably, good friend u is set21, u31, u41, u51, u61, u71Degree of belief be respectively f (u21)=0.3, f (u31)=
0.4, f (u41)=0.5, f (u51)=0.6, f (u61)=0.7, f (u7)=0.8；
Preferably, described user management module also includes that user registers submodule, for managing the user of described user side
Identity.
Degree of belief z (the u of described kinsfolki) relevant to household member age p, z (ui)=wa×ma+wb×mb+wc×
mc, wherein ma, mb, mcFor degree of belief coefficient, 1 < ma<mb<mc, wherein wa, wb, wcFor selecting coefficient；
Preferably, and when 20 < p < when 50, wc=1, wa=0, wb=0, when 50 < p < 70 or when 10 < p < when 20, wc=0, wa=
0, wb=1, as p>70 or when p<when 10, wc=0, wa=1, wb=0.
K (u in described formula (1)i) it is user uiFor degree of belief between itself and kinsfolk during good friend's identity, described use
The trusting relationship at family is represented by trusting relationship figure G=(U, β), and wherein U represents the set of user, a user uiClose trusting
Being expressed as a summit in system figure G, trusting relationship figure G includes multiple kinsfolk summit and multiple good friend summit, and β represents letter
Appoint the directed line segment between kinsfolk summit and good friend summit, k (u in graph of a relation Gi) it is user uiAs good friend itself and family
The weight of directed line segment β, the weight table of described directed line segment β between two summits that member is represented in trusting relationship figure G
Show the intensity of trusting relationship between described kinsfolk and described good friend, the length of described directed line segment β and described weight k (ui)
It is inversely proportional to；
Preferably, user uiA plurality of directed line segment β, k (u is there is as between good friend itself and multiple kinsfolki) it is above-mentioned
The meansigma methods of multiple weights that multiple directed line segment β are corresponding.
Described task scheduling modules includes time decision sub-module；Time decision sub-module judges the multiple tasks life received
Whether the time interval between order is less than scheduled time threshold value, if time interval judged not less than scheduled time threshold value, time
Task order in scheduler task data base is sent to scheduler task and transmits submodule by submodule；If time interval is less than pre-
Fix time threshold value, then the multiple task orders during time decision sub-module analyzes scheduler task data base, and judge whether
At least two task order and this at least two task order for multiple intelligent home devices are same commands, if then
Only the task order same intelligent home device to limit priority is sent to scheduler task and transmits submodule, if not
Then the task order in scheduler task data base is sent to scheduler task and transmits submodule；
Preferably, described task scheduling modules includes that scheduler task transmits submodule, and wherein scheduler task transmits submodule
The task order received is sent to corresponding intelligent home device.
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute
Stating multiple intelligent home device and all have a user side agreement, the high in the clouds agreement of described user side agreement and cloud server is based on phase
Same distributed cloud control protocol.
The plurality of user side is smart mobile phone, panel computer, notebook or desk computer；
Preferably, described user's users to trust degree is analyzed submodule and is carried out described user task order being converted to described
The order that Smart Home can identify, the life that the Smart Home after conversion described in described scheduler task database purchase can identify
Order；
Preferably, described cloud storage module also includes smart machine data base, and described users to trust degree analyzes submodule tuber
From described Cloud Server, the command format that corresponding Smart Home can identify, knot is filtered out according to Smart Home kind, model
Close the task order of user side be converted into order that described Smart Home can identify and be stored in described initiating task data base
In.
The intelligent home control system of the present invention passes through cloud system framework so that kinsfolk and good friend thereof can pass through
Intelligent home device is remotely controlled by user side, when intelligent home device cannot remotely be controlled by kinsfolk,
Its good friend can be entrusted on behalf of being controlled, and control cloud is appointed according to the degree of belief of kinsfolk and the degree of belief of good friend
The screening of business order and scheduling, realize intelligent home device entrust control while, improve the safety of control, and right
Multiple same remote task orders from multiple users are selected, and only transmit the task order with limit priority, subtract
Lack unnecessary multiplexed transport and network overhead, improved the accuracy that this intelligent home device is performed remotely to be controlled, reduce
Impact and equipment loss on intelligent home device work.
[accompanying drawing explanation]
Accompanying drawing described herein is used to provide a further understanding of the present invention, constitutes the part of the application, but
It is not intended that inappropriate limitation of the present invention, in the accompanying drawings:
Fig. 1 is the intelligent home control system frame diagram based on cloud task scheduling of the present invention.
Fig. 2 is the cloud server frame diagram of the present invention.
Fig. 3 is the trusting relationship illustrated example of one embodiment of the invention.
Fig. 4 is the flow chart of one embodiment of the invention.
[detailed description of the invention]
The present invention is described in detail, illustrative examples therein and saying below in conjunction with accompanying drawing and specific embodiment
Bright being only used for explains the present invention, but is not intended as inappropriate limitation of the present invention.
The basic thought of the present invention is: by cloud system framework, is possible not only to be entered intelligent home device by kinsfolk
Row remotely controls, when intelligent home device cannot remotely be controlled by kinsfolk, it is also possible to entrust its good friend on behalf of entering
Row controls, and controls the screening to cloud task order and scheduling according to the degree of belief of kinsfolk and the degree of belief of good friend,
Realize Smart Home entrust control while, improve the safety of control, and multiple identical to from multiple users
Remote task order is selected, and only transmits and has the task order of limit priority, decrease unnecessary multiplexed transport and
Network overhead, improves the accuracy that this intelligent home device performs remotely control, it is to avoid the consumption that intelligent home device is unnecessary
Damage.
See the basic framework that Fig. 1, Fig. 1 are present invention intelligent home control systems based on cloud task scheduling,
System includes cloud server, multiple user side and multiple intelligent home device, wherein
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute
Stating multiple intelligent home device and all have a user side agreement, the high in the clouds agreement of described user side agreement and cloud server is based on phase
Same distributed cloud control protocol；
Such as Fig. 2 and Fig. 4, described cloud server includes user management module, cloud storage module, task scheduling modules；
Wherein cloud storage module includes user ID data storehouse, users to trust degrees of data storehouse, smart machine data base, initial
Assignment database, scheduler task data base；
Described user management module includes that user registers submodule, users to trust degree analyzes submodule；Wherein user's registration
Submodule in registering user and identity thereof and being stored in the user ID data storehouse of cloud storage module, described user identity bag
Include kinsfolk's identity and good friend's identity；Wherein users to trust degree analyzes submodule based on the society in user identity and community network
The degree of belief of user can be analyzed relation, determine users to trust degree and be stored in the users to trust degrees of data of cloud storage module
In storehouse；
Wherein task scheduling modules include task receive submodule, task analysis submodule, degree of belief decision sub-module, time
Between decision sub-module, scheduler task transmit submodule, wherein task receive submodule receive many from the plurality of user side
Individual cloud mission bit stream is also stored in initiating task data base, and described cloud mission bit stream includes that user is to described intelligent home device
Cloud task order and send the user side identification information of this cloud task order, task analysis submodule is to initiating task data base
In cloud mission bit stream be analyzed, including resolving the content of cloud task order and sending according to user side identification information identification
The user of multiple cloud task orders and identity thereof, wherein resolving cloud task order is from Cloud Server according to household electrical appliances kind, model
Smart machine data base in filter out the command format that corresponding household electrical appliances can identify, the order in conjunction with user side is converted into controlled
Order that household electrical appliances can identify also is stored in initiating task data base；Described degree of belief decision sub-module is from the users to trust number of degrees
According to the degree of belief of multiple users that library inquiry is identified, and based on users to trust degree threshold value set in advance, will be less than this use
Task order after the conversion that the user of family degree of belief threshold value is corresponding is deleted from initiating task data base, will be not less than this user
Task order after the conversion that the user of degree of belief threshold value is corresponding is from initiating task database purchase to scheduler task data base
And based on users to trust degree, task order carried out priority configuration, and described user credit degree priority is set to described use
The priority of the task order that family end is issued；Time decision sub-module judges the time interval between the multiple task orders received
Whether less than scheduled time threshold value, if time interval is not less than scheduled time threshold value, the time, decision sub-module was by scheduler task
Task order in data base sends scheduler task to and transmits submodule；If time interval is less than scheduled time threshold value, then time
Between decision sub-module analyze the multiple task orders in scheduler task data base, and judge whether for multiple Smart Homes
At least two task order and this at least two task order of equipment are same commands, if the most only will be for same intelligence
Home equipment has the task order of limit priority and sends scheduler task transmission submodule to, if otherwise by scheduler task data
Task order in storehouse sends scheduler task to and transmits submodule；Scheduler task transmits submodule and is sent out by the task order received
Give corresponding intelligent home device；
Described intelligent home device includes microprocessor, sensor, wireless communication module and smart machine, the most micro-process
Device, for receiving the task order from cloud server end, controls smart machine and runs.
Below users to trust degree is analyzed submodule based on the social relations in user identity and community network to user's
Degree of belief is analyzed, determines that the process of users to trust degree is analyzed, and the process of above-mentioned confirmation users to trust degree is based on as follows
Formula (1) realizes, wherein
f(ui)=wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1), wherein f (ui) it is user uiDegree of belief,
wx、wyIt is allocated to kinsfolk's identity and the weight of good friend's identity respectively, owing to the credibility of kinsfolk is higher than its good friend
The credibility of identity, therefore makes wx=n × wy, n > 1, n are positive integer；s(ui) and g (ui) for selecting function, as user uiFor family
S (the u during member identities of front yardi) be 1, g (ui) it is 0, and as user uiFor s (u during good friend's identityi) be 0, g (ui) it is 1；Wherein z (ui)
For user uiFor during kinsfolk, it is as the degree of belief of kinsfolk, due to different home member identities or all ages and classes p
Its credibility controlling intelligent home device of kinsfolk there is also difference, such as the family of grandparent and grandchild three generation, for 20 < p <
For the kinsfolk of 50, it is generally in family father or mother or adult child, and intelligent home device is born main control
Responsibility processed, therefore the credibility for the correspondence of its distribution is the highest, and for the kinsfolk of 50 < p < 70 or 10 < p < 20, its
Grandfather, grandmother or the teenager child that generally in family, the age is lighter, bears secondary control responsibility to intelligent home device, because of
This is that the corresponding credibility of its distribution is higher, and for p > for the kinsfolk of 70, although it is generally the grandfather in family
Grandfather, grandmother, but owing to it is more old, the most intelligent home device is not born control responsibility or less control responsibility, because of
This is that the corresponding credibility of its distribution is relatively low, and for the kinsfolk similarly for p < 10, it is generally the child in family
Child, does not generally bear control responsibility or less control responsibility, therefore for its correspondence distributed to intelligent home device yet
Credibility is minimum.So, z (u is seti) relevant to household member age p, z (ui)=wa×ma+wb×mb+wc×mc, wherein
ma, mb, mcFor degree of belief coefficient, 1 < ma<mb<mc, wherein wa, wb, wcFor selecting coefficient, and when 20 < p < when 50, wc=1, wa=0,
wb=0, when 50 < p < 70 or when 10 < p < when 20, wc=0, wa=0, wb=1, as p>70 or when p<when 10, wc=0, wa=1, wb
=0.
Credibility to good friend's identity determines that process is analyzed below, k (u in above-mentioned formula (1)i) it is based on social network
In network, the trusting relationship between user determines this user uiFor degree of belief between itself and kinsfolk during good friend's identity, wherein k
(ui) it is to determine this user u based on trusting relationship between user in community networkiFor during good friend's identity between itself and kinsfolk
Degree of belief, wherein in community network, trusting relationship between user is represented by trusting relationship figure G=(U, β), and wherein U represents use
The set at family, a user uiBeing expressed as a summit in trusting relationship figure G, trusting relationship figure G includes that multiple family becomes
Member summit and multiple good friend summit, β represents the directed line segment in trusting relationship figure G between kinsfolk summit and good friend summit,
And user is gathered to the kinsfolk summit u in UxWith good friend summit uyBetween if there is directed line segment β, then it represents that above-mentioned
There is trusting relationship between kinsfolk and above-mentioned good friend, the weight of above-mentioned directed line segment β then represents above-mentioned kinsfolk and upper
Stating the intensity of trusting relationship between good friend, above-mentioned intensity is marked based on user characteristics and history and is determined, k (ui) it is user uiMake
For the weight of directed line segment β between two summits that good friend itself and kinsfolk are represented in trusting relationship figure G, and above-mentioned have
To the length of line segment β with its weight inversely.
In trusting relationship figure G as shown in Figure 3, it is assumed that one family has two kinsfolk u1And kinsfolk
u11, trusting relationship figure G is expressed as kinsfolk summit u1And u11, summit u2, u3, u4, u5, u6, u7, u21, u31, u41,
u51, u61, u71It is good friend summit, kinsfolk summit u1With good friend summit u2, u3, u4, u5, u6, u7Between be respectively present oriented
Line segment β1, β2, β3, β4, β5, β6, then kinsfolk u is shown1With good friend u2, u3, u4, u5, u6, u7Between all there is trusting relationship,
And β1, β2, β3, β4, β5, β6Corresponding weight is respectively 0.2, and 0.4,0.6,0.8,1.0,1.2, and β1Length > β2Length >
β3Length > β4Length > β5Length > β6Length.k(ui) it is that user is as directed line segment β between good friend and kinsfolk
Weight, then k (u2)=0.2, k (u3)=0.4, k (u4)=0.6, k (u5)=0.8, k (u6)=1.0, k (u7)=1.2.Another
Kinsfolk summit u11With good friend summit u21, u31, u41, u51, u61, u71Between be respectively present directed line segment β11, β21, β31, β41,
β51, β61, then kinsfolk u is shown11With good friend u21, u31, u41, u51, u61, u71Between all there is trusting relationship, and β11, β21,
β31, β41, β51, β61Corresponding weight is respectively 0.6,0.8,1.0,1.2,1.4,1.6.k(ui) it is that user is as good friend and family
The weight of directed line segment β, then k (u between member21)=0.6, k (u31)=0.8, k (u41)=1.0, k (u51)=1.2, k (u51)
=1.4, k (u61)=1.6.If user is as there is a plurality of directed line segment β, then k (u between good friend and multiple kinsfolki)
Meansigma methods for multiple weights of above-mentioned multiple directed line segment β.
Assume wxIt is 1, wyIt is 0.5, as user uiDuring for good friend's identity, s (ui)=0, g (ui)=1, then based on formula (1)
Users to trust degree analyzes submodule according to user identity and above-mentioned trusting relationship figure, analysis good friend u2, u3, u4, u5, u6, u7Letter
Degree is appointed to be respectively f (u2)=0+0.5 × 1 × 0.2=0.1, f (u3)=0+0.5 × 1 × 0.4=0.2, f (u4)=0+0.5 × 1
× 0.6=0.3, f (u5)=0+0.5 × 1 × 0.8=0.4, f (u6)=0+0.5 × 1 × 1.0=0.5, f (u7)=0+0.5 × 1
× 1.2=0.6；Based on same mode, it may be determined that good friend u21, u31, u41, u51, u61, u71Degree of belief be respectively f (u21)
=0.3, f (u31)=0.4, f (u41)=0.5, f (u51)=0.6, f (u61)=0.7, f (u7)=0.8.
Based on household member age and formula (1), as user uiDuring for kinsfolk's identity, s (ui)=1, g (ui)=
0, it is assumed that ma=1, mb=2, mc=3, and kinsfolk u1With kinsfolk u11Age all 20 < p < in the range of 50, due to family
Front yard member u1With kinsfolk u11Age all 20 < p < in the range of 50, then wc=1, wa=0, wb=0, so z (u1)=0 × 1+
0 × 2+1 × 3=3, equally, z (u2)=3, then based on formula (1) kinsfolk u1Degree of belief f (u1)=1 × 1 × 3+0=3, with
Sample f (u2)=3, calculate kinsfolk u the most respectively1With kinsfolk u11Respective degree of belief is 3, in other embodiments
Also likely to be present the age kinsfolk at different age group, calculate other also according to household member age and formula (1)
The degree of belief of the kinsfolk of age bracket, and the users to trust degree of above-mentioned all kinsfolks He its all good friends is stored in use
In the degree of belief data base of family.
It is respectively received in time period t from 4 user sides in one embodiment, it is assumed that task receives submodule
For 4 cloud task control information of intelligent home device and be stored in initiating task data base；Task analysis submodule pair
Cloud mission bit stream in initiating task data base is analyzed, and the order of parsing cloud task identification send the use of cloud task order
Family identity, it is assumed that identifying wherein 3 users according to user side identification information is u2, u3, u5And it is kinsfolk u1Good friend
Identity, identifying one of them user is u21And be kinsfolk u11Good friend's identity, in other embodiments user side its
Identity can also be kinsfolk, and identity is good friend in the present embodiment.Good friend u2, u3, u21, u5Send to Smart Home
The control task of equipment is converted into the order that controlled household electrical appliances can identify after task analysis submodule analysis and is respectively t2, t3,
t4, t5And be stored in initiating task data base.Assume that presetting degree of belief threshold value is 0.2, degree of belief decision sub-module from
Family degree of belief database query user u2, u3, u21, u5Degree of belief, then be identified as low letter less than the user of this degree of belief threshold value
Appointing degree user, task order degree of the being trusted decision sub-module that this low degree of belief user sends is deleted from initiating task data base
Remove, in the present embodiment, good friend u2Degree of belief be 0.1, less than degree of belief threshold value, then by good friend u in initiating task data2Right
The control task order t answered2Delete, in this application owing to the degree of belief of user is evaluated, based on degree of belief threshold value, can
To filter out the user's bad operation to intelligent home device of low degree of belief, improve safety.
Then the user u of degree of belief threshold value will be not less than3, u21, u5The task order t to intelligent home device sent3,
t4, t5Store in scheduler task data base and by user u3, u21, u5Degree of belief carry out prioritization, at the present embodiment
In, based on user u3, u21, u5Degree of belief, u3, u21, u5Degree of belief f (u3)=0.2, f (u21)=0.3, f (u5)=0.4,
It is thus determined that priority t3< priority t4< priority t5。
Judged that whether time interval t of 4 task orders received is less than scheduled time threshold again by time decision sub-module
Value, it is assumed that scheduled time threshold value is 5 minutes, if time interval t is not less than scheduled time threshold value 5 minutes, then the time judges son
Module is by the task order t in scheduler task data base3, t4, t5All send scheduler task to and transmit submodule；If between the time
It is less than scheduled time threshold value 5 minutes, then the task order t during time decision sub-module analyzes scheduler task data base every t3, t4,
t5, and judge whether at least two task order for same intelligent home device and belong to same order, here
Order refer to the difference in functionality to intelligent home device start operation, as intelligent home device open and close, be adjusted to a constant temperature
Degree etc..Assume t3, t4It is the task order for intelligent air condition equipment, and is order of turning on the aircondition, due to priority t3< excellent
First level t4, the most only by the task order t of the limit priority for air-conditioning equipment4And other intelligent home devices are appointed
Business order t5, sending scheduler task to and transmit submodule, scheduler task transmits the task order t that submodule will receive4, t5Send out
Give corresponding intelligent home device.Owing to the application only will have the task of limit priority for same intelligent home device
Order is sent to scheduler task and transmits submodule and be further transmitted to corresponding intelligent home device, and it is unnecessary therefore to avoid
Multiplexed transport and network overhead, and improve the accuracy that intelligent home device remotely controls, avoid the short time simultaneously
Interior reception multiple same task order causes this intelligent home device internal microprocessor to be in frequent analysis process, decreases
The consume that intelligent home device is unnecessary, relatively improves the service life of intelligent home device, alleviates intelligent home device
Excessive wear.
Described intelligent home device includes microprocessor, sensor, wireless communication module and home appliance, the most micro-process
Device, for receiving the task order from cloud server end, controls smart machine and runs.
The above is only the better embodiment of the present invention, thus all according to the structure described in present patent application scope,
The equivalence that feature and principle are done changes or modifies, in the range of being all included in present patent application.
Claims (8)
1. an intelligent home control system based on cloud task scheduling, it is characterised in that include cloud server, multiple user
End and multiple intelligent home devices, wherein,
Described user side is used for issuing remote task order；
Described cloud server includes user management module, cloud storage module, task scheduling modules；
Described cloud storage module for storing the related data of described intelligent home control system, including initiating task data base and
User credit degrees of data storehouse；Described initiating task data base deposits described user side information and the remote task order issued；
Described user credit degrees of data library storage user profile and the credit information of described user；
Described user management module includes that users to trust degree analyzes submodule；Described users to trust degree analyzes submodule based on user
Users to trust degree is analyzed by the social relations in identity and community network, determines users to trust degree and is stored in described user
In degree of belief data base；
Described task scheduling modules includes that task receives submodule, task analysis submodule, degree of belief decision sub-module；Wherein,
Described task receives submodule and receives the remote task order from the plurality of user side, and is stored in initiating task data base
In；Described task analysis submodule extracts described task from described initiating task data base and described users to trust degrees of data storehouse
Content, described user side information and the described user credit degree of order；Described degree of belief decision sub-module judges described user letter
Appoint degree and transmit task order to described intelligent home device；
Described intelligent home device includes that microprocessor, wireless communication module and smart machine, wherein said microprocessor pass through
Described wireless communication module receives the task order from described cloud server, controls described smart machine and runs.
A kind of intelligent home control system based on cloud task scheduling the most according to claim 1, it is characterised in that described
Cloud server also includes scheduler task data base, and described task decision sub-module is sent out from described users to trust degrees of data library inquiry
The described users to trust degree priority of the multiple described user side of cloth same remote task order, by preferential for described user credit degree
Level is set to the priority of the task order that described user side is issued, and is stored in described scheduler task data base, and from described tune
The task order retrieving priority high in degree assignment database is transferred to described intelligent home device；
Preferably, described degree of belief decision sub-module includes users to trust degree threshold value, and described degree of belief decision sub-module is according to institute
Stating the trust angle value of user with described users to trust degree threshold ratio relatively, the described user that will be less than described users to trust degree threshold value appoints
Business order is deleted from described initiating task data base, will be not less than the described user task order of described users to trust degree threshold value
Store in described scheduler task data base；
Preferably, described users to trust degree threshold value can be arranged.
3. according to a kind of based on cloud task scheduling the intelligent home control system described in any one of claim 1 or 2, its feature
Being, described cloud storage module also includes that user ID data storehouse, described user identity are set as kinsfolk's identity and good friend
Identity；
Described users to trust degree is analyzed submodule and is judged that the process of users to trust degree realizes based on formula (1),
f(ui)=wx×s(ui)×z(ui)+wy×g(ui)×k(ui) (1)
Wherein, f (ui) it is user uiDegree of belief, wx、wyIt is allocated to different user identity weight, s (u respectivelyi) and g (ui) it is
Select function, described wxFor distributing to the weight of described kinsfolk's identity, described wyIt is allocated to the power of described good friend's identity
Weight, the degree of belief of described kinsfolk, higher than the credit rating of its good friend's identity, therefore makes wx=n × wy, n > 1, n are positive integer；z
(ui) it is degree of belief；
Preferably, as user uiFor s (u during kinsfolk's identityi) be 1, g (ui) it is 0；As user uiFor s (u during good friend's identityi)
Be 0, g (ui) it is 1；
Preferably, as user uiFor good friend's identity, and set good friend u2, u3, u4, u5, u6, u7And wx=1, wy=0.5, described
Good friend u2, u3, u4, u5, u6, u7Degree of belief be respectively f (u2)=0+0.5 × 1 × 0.2=0.1, f (u3)=0+0.5 × 1 ×
0.4=0.2, f (u4)=0+0.5 × 1 × 0.6=0.3, f (u5)=0+0.5 × 1 × 0.8=0.4, f (u6)=0+0.5 × 1 ×
1.0=0.5, f (u7)=0+0.5 × 1 × 1.2=0.6；
Preferably, good friend u is set21, u31, u41, u51, u61, u71Degree of belief be respectively f (u21)=0.3, f (u31)=0.4, f
(u41)=0.5, f (u51)=0.6, f (u61)=0.7, f (u7)=0.8；
Preferably, described user management module also includes that user registers submodule, for managing the user identity of described user side.
4. according to a kind of based on cloud task scheduling the intelligent home control system described in any one of claims 1 to 3, its feature
It is, the degree of belief z (u of described kinsfolki) relevant to household member age p, z (ui)=wa×ma+wb×mb+wc×mc, its
Middle ma, mb, mcFor degree of belief coefficient, 1 < ma<mb<mc, wherein wa, wb, wcFor selecting coefficient；
Preferably, and when 20 < p < when 50, wc=1, wa=0, wb=0, when 50 < p < 70 or when 10 < p < when 20, wc=0, wa=0, wb
=1, as p>70 or when p<when 10, wc=0, wa=1, wb=0.
5. according to a kind of based on cloud task scheduling the intelligent home control system described in any one of Claims 1-4, its feature
It is, k (u in described formula (1)i) it is user uiFor degree of belief between itself and kinsfolk during good friend's identity, described user's
Trusting relationship is represented by trusting relationship figure G=(U, β), and wherein U represents the set of user, a user uiAt trusting relationship figure
Being expressed as a summit in G, trusting relationship figure G includes multiple kinsfolk summit and multiple good friend summit, and β represents that trust is closed
System schemes the directed line segment in G between kinsfolk summit and good friend summit, k (ui) it is user uiAs good friend itself and kinsfolk
The weight of directed line segment β between two summits represented in trusting relationship figure G, the weight of described directed line segment β represents institute
State the intensity of trusting relationship between kinsfolk and described good friend, the length of described directed line segment β and described weight k (ui) become anti-
Ratio；
Preferably, user uiA plurality of directed line segment β, k (u is there is as between good friend itself and multiple kinsfolki) it is above-mentioned multiple
The meansigma methods of multiple weights that directed line segment β is corresponding.
6. according to a kind of based on cloud task scheduling the intelligent home control system described in any one of claim 1 to 5, its feature
Being, described task scheduling modules includes time decision sub-module；Time decision sub-module judges the multiple task orders received
Between time interval whether less than scheduled time threshold value, if time interval judges son not less than scheduled time threshold value, time
Task order in scheduler task data base is sent to scheduler task and transmits submodule by module；If time interval is less than predetermined
Time threshold, then time decision sub-module analyzes the multiple task orders in scheduler task data base, and judge whether right
At least two task order and this at least two task order in multiple intelligent home devices are same commands, if the most only
The task order same intelligent home device to limit priority is sent to scheduler task and transmits submodule, if otherwise
Task order in scheduler task data base is sent to scheduler task and transmits submodule；
Preferably, described task scheduling modules includes that scheduler task transmits submodule, and wherein scheduler task transmission submodule will connect
The task order received is sent to corresponding intelligent home device.
7. according to a kind of based on cloud task scheduling the intelligent home control system described in any one of claim 1 to 6, its feature
Being, described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and described
Multiple intelligent home devices all have a user side agreement, and the high in the clouds agreement of described user side agreement and cloud server is based on identical
Distributed cloud control protocol.
8. according to the system described in any one of claim 1 to 7, it is characterised in that the plurality of user side is smart mobile phone, puts down
Plate computer, notebook or desk computer；
Preferably, described user task order is carried out being converted to described intelligence by described user's users to trust degree analysis submodule
The order that household can identify, the order that the Smart Home after conversion described in described scheduler task database purchase can identify；
Preferably, described cloud storage module also includes smart machine data base, and described users to trust degree analyzes submodule according to intelligence
Household kind, model can filter out the command format that corresponding Smart Home can identify from described cloud server, in conjunction with
The task order of user side is converted into order that described Smart Home can identify and is stored in described initiating task data base.
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