CN106131117A - A kind of intelligent drinking machine control system based on cloud task scheduling - Google Patents

A kind of intelligent drinking machine control system based on cloud task scheduling Download PDF

Info

Publication number
CN106131117A
CN106131117A CN201610429581.XA CN201610429581A CN106131117A CN 106131117 A CN106131117 A CN 106131117A CN 201610429581 A CN201610429581 A CN 201610429581A CN 106131117 A CN106131117 A CN 106131117A
Authority
CN
China
Prior art keywords
task
user
degree
drinking machine
intelligent drinking
Prior art date
Application number
CN201610429581.XA
Other languages
Chinese (zh)
Inventor
徐震
Original Assignee
青岛恒金源电子科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 青岛恒金源电子科技有限公司 filed Critical 青岛恒金源电子科技有限公司
Priority to CN201610429581.XA priority Critical patent/CN106131117A/en
Publication of CN106131117A publication Critical patent/CN106131117A/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/32Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources
    • H04L67/322Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources whereby quality of service [QoS] or priority requirements are taken into account
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/12Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks
    • H04L67/125Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks involving the control of end-device applications over a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/32Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources
    • H04L67/325Network-specific arrangements or communication protocols supporting networked applications for scheduling or organising the servicing of application requests, e.g. requests for application data transmissions involving the analysis and optimisation of the required network resources whereby a time schedule is established for servicing the requests

Abstract

nullThe invention discloses a kind of intelligent drinking machine control system based on cloud task scheduling,This system includes cloud server、Multiple user sides and multiple intelligent drinking machine equipment,This system passes through cloud system framework,Intelligent drinking machine equipment remotely can be controlled by kinsfolk and good friend thereof by user side,When intelligent drinking machine equipment cannot remotely be controlled by kinsfolk,Its good friend can be entrusted on behalf of being controlled,And degree of belief and the degree of belief of good friend according to kinsfolk control the screening to cloud task order and scheduling,While realizing the trust control of intelligent drinking machine equipment、Improve the safety of control,Multiple same remote task orders from multiple users are selected simultaneously,Decrease unnecessary multiplexed transport and network overhead,Avoid the consume that intelligent drinking machine equipment is unnecessary,Improve the accuracy that this intelligent drinking machine equipment is performed remotely to be controlled.

Description

A kind of intelligent drinking machine control system based on cloud task scheduling
[technical field]
The present invention relates to intelligent drinking machine and control technical field, particularly relate to a kind of intelligence drinking-water based on cloud task scheduling Machine control system.
[background technology]
Being actually needed for meeting, user needs a kind of intelligent drinking machine equipment that can remotely control, but existing intelligence Can be typically to be controlled by kinsfolk by water dispenser, if kinsfolk is in the state that network cannot connect, then cannot be to many Individual intelligent drinking machine equipment the most remotely controls.
Therefore, when intelligent drinking machine equipment is remotely controlled by multiple kinsfolks inconvenience, it is multiple good to entrust Friend is controlled on behalf of to intelligent drinking machine equipment, although the most also introduce good friend in some intelligent drinking machine control system general Read, but the trust degree of good friend is not analyzed, and different home member also has different credibilitys, if therefore If the credibility to user side is not 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 same intelligence is drunk Multiple same remote task orders are sent, thus for the same intelligent drinking machine equipment short period in the water machine equipment short time Interior needs receive the multiple same remote task orders from multiple user sides, if for multiple remote task orders the most in addition If selection, then receive multiple same task in necessarily increasing unnecessary multiplexed transport and network overhead, and short time Order makes this intelligent drinking machine device interior central processing module be in frequent analysis process, adds intelligent drinking machine and sets Standby unnecessary consume, relative reduction service life of this intelligent drinking machine equipment, the most also have impact on this intelligence Can run by the correct of water dispenser equipment, it is impossible to this intelligent drinking machine equipment 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 intelligence drinking-water based on cloud task scheduling Machine control system, its technical scheme is as follows:
A kind of intelligent drinking machine control system based on cloud task scheduling, it is characterised in that include cloud server, multiple User side and multiple intelligent drinking machine equipment, 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 drinking machine control system, including initiating task number According to storehouse and user credit degrees of data storehouse;Described initiating task data base deposits described user side information and the remote task 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 drinking machine equipment;
Described intelligent drinking machine equipment include central processing module, wireless communication module and can electrically heated water dispenser this Body, wherein said central processing module receives the task order from described cloud server end by described wireless communication module, Control the heating of described water dispenser body or stop heating.
Described intelligent drinking machine equipment also includes that temperature sense module, described temperature sense module are positioned at described water dispenser originally Internal wall, electrically connects with described central processing module, when described central processing module receives by described wireless communication module From the task order of described cloud server end for insulation time, described central processing module obtains described temperature sense module in real time and obtains The water temperature arrived, when the threshold value that water temperature sets less than insulation, described central processing module controls the heating of described water dispenser body, when When the water temperature that described temperature sense module obtains reaches set threshold value, described central processing module stops heating;
Preferably, received from described cloud server end by described wireless communication module when described central processing module When task order is for heating, described central processing module controls the heating of described water dispenser body;
Preferably, received from described cloud server end by described wireless communication module when described central processing module When task order is for stopping, described central processing module controls described water dispenser body and stops heating.
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 drinking machine equipment;
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 intelligent drinking machine equipment are same commands, if the most only The task order having limit priority for same intelligent drinking machine equipment 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 drinking machine equipment.
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute Stating intelligent drinking machine equipment and all have a user side agreement, the high in the clouds agreement of described user side agreement and cloud server is based on identical 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 intelligent drinking machine can identify, the intelligent drinking machine 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 order lattice that corresponding intelligent drinking machine can identify are filtered out according to intelligent drinking machine kind, model Formula, is converted into, in conjunction with the task order of user side, order that described intelligent drinking machine can identify and is stored in described initiating task In data base.
The intelligent drinking machine control system of the present invention passes through cloud system framework so that kinsfolk and good friend thereof can be led to Cross user side intelligent drinking machine equipment is remotely controlled, when intelligent drinking machine equipment cannot remotely be controlled by kinsfolk Time processed, its good friend can be entrusted on behalf of being controlled, and control according to the degree of belief of kinsfolk and the degree of belief of good friend Screening and scheduling to cloud task order, realize intelligent drinking machine equipment entrust control while, improve the safety of control Property, and the multiple same remote task orders from multiple users are selected, only transmit and there is appointing of limit priority Business order, decreases unnecessary multiplexed transport and network overhead, and the execution of this intelligent drinking machine equipment is remotely controlled by raising Accuracy, reduces the impact on the work of intelligent drinking machine equipment and equipment loss.
[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 drinking machine 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 by kinsfolk multiple intelligent drinking machines Equipment remotely controls, when intelligent drinking machine equipment cannot remotely be controlled by kinsfolk, it is also possible to entrust it good Friend is on behalf of being controlled, and controls the screening to cloud task order according to the degree of belief of kinsfolk and the degree of belief of good friend And scheduling, realize intelligent drinking machine entrust control while, improve the safety of control, and to from multiple users' Multiple same remote task orders are selected, and only transmit the task order with limit priority, decrease unnecessary appointing Business transmission and network overhead, improve the accuracy that this intelligent drinking machine equipment performs remotely control, it is to avoid intelligent drinking machine sets Standby unnecessary consume.
See the basic framework that Fig. 1, Fig. 1 are present invention intelligent drinking machine based on cloud task scheduling control systems,
System includes cloud server, multiple user side and multiple intelligent drinking machine equipment, wherein
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute State multiple intelligent drinking machine equipment and all have a user side agreement, the high in the clouds agreement of described user side agreement and cloud server based on Identical 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 described intelligent drinking machine is set by user Standby cloud task order and the user side identification information sending this cloud task order, task analysis submodule is to initiating task data Cloud mission bit stream in storehouse is analyzed, including resolving the content of cloud task order and sending out according to user side identification information identification Going out user and the identity thereof of multiple cloud task order, wherein resolving cloud task order is from cloud service according to household electrical appliances kind, model The smart machine data base of device filters out the command format that corresponding household electrical appliances can identify, is converted in conjunction with the order of user side and is subject to The control order that can identify of household electrical appliances is also stored in initiating task data base;Described degree of belief decision sub-module is from users to trust degree The degree of belief of multiple users that data base querying is identified, and based on users to trust degree threshold value set in advance, will be less than this Task order after the conversion that the user of users to trust degree threshold value is corresponding is deleted from initiating task data base, will be not less than this use Task order after the conversion that the user of family degree of belief threshold value is corresponding from initiating task database purchase to scheduler task data base In and based on users to trust degree, task order carried out priority configuration, and described user credit degree priority is set to described The priority of the task order that user side is issued;Time decision sub-module judged between the time between the multiple task orders received Every whether less than scheduled time threshold value, if scheduling is appointed by time interval not less than scheduled time threshold value, time decision sub-module Task order in business data base sends scheduler task to and transmits submodule;If time interval is less than scheduled time threshold value, then Time decision sub-module analyzes the multiple task orders in scheduler task data base, and judges whether for intelligent drinking machine 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 Water dispenser equipment has the task order of limit priority and sends scheduler task transmission submodule to, if otherwise by scheduler task number Send scheduler task to according to the task order in storehouse and transmit submodule;Scheduler task transmits the task order that submodule will receive It is sent to corresponding intelligent drinking machine equipment;
Described intelligent drinking machine equipment includes that central processing module, sensor, wireless communication module and intelligent drinking machine set Standby, wherein central processing module is for receiving the task order from cloud server end, controls intelligent drinking machine equipment 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 drinking machine equipment of kinsfolk there is also difference, such as the family of grandparent and grandchild three generation, for 20 < For the kinsfolk of p < 50, it is generally in family father or mother or adult child, and intelligent drinking machine equipment is born master Responsibility to be controlled, therefore the corresponding credibility for its distribution is the highest, and for 50 < p < 70 or 10 < p < 20 kinsfolk and Speech, it is generally lighter grandfather, grandmother or the teenager child of age in family, intelligent drinking machine equipment is born secondary control Responsibility, therefore the corresponding credibility for its distribution is higher, and for p > for the kinsfolk of 70, although it is generally family In grandfather, grandmother, she but owing to it is more old, the most intelligent drinking machine equipment is not born control responsibility or less control Responsibility, therefore the credibility for the correspondence of its distribution is relatively low, and for the kinsfolk similarly for p < 10, it is generally in family Child child, generally intelligent drinking machine equipment is not born control responsibility or less control responsibility yet, therefore for its distribution Corresponding credibility 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 drinking machine equipment and be stored in initiating task data base;Task analysis submodule Being analyzed the cloud mission bit stream in initiating task data base, the order the identification that resolve cloud task send cloud task order User identity, it is assumed that identifying wherein 3 users according to user side identification information is u2, u3, u5And it is kinsfolk u1Good Friend's identity, identifying one of them user is u21And be kinsfolk u11Good friend's identity, user side in other embodiments Its identity can also be kinsfolk, and identity is good friend in the present embodiment.Good friend u2, u3, u21, u5Send drinks intelligence The control task of water machine 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.Assuming that presetting degree of belief threshold value is 0.2, degree of belief judges submodule Block is from users to trust degrees of data library inquiry user u2, u3, u21, u5Degree of belief, then less than this degree of belief threshold value user be identified For low degree of belief user, task order degree of the being trusted decision sub-module that this low degree of belief user sends is from initiating task data base Middle deletion, in the present embodiment, good friend u2Degree of belief be 0.1, less than degree of belief threshold value, then by good friend in initiating task data u2Corresponding control task order t2Delete, in this application owing to the degree of belief of user is evaluated, based on degree of belief threshold Value, can filter out the user's bad operation to intelligent drinking machine equipment 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 to intelligent drinking machine equipment sent t3, t4, t5Store in scheduler task data base and by user u3, u21, u5Degree of belief carry out prioritization, in this enforcement In example, 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 drinking machine equipment and belong to same order, this In order refer to the difference in functionality to intelligent drinking machine equipment start operation, as intelligent drinking machine equipment open and close, be adjusted to Uniform temperature etc..Assume t3, t4It is the task order for intelligent drinking machine equipment, and is out order, due to priority t3 < priority t4, the most only by the task order t of the limit priority for intelligent drinking machine equipment4And for other intelligence drinking-water The task order t of machine equipment5, sending scheduler task to and transmit submodule, scheduler task transmits the task that submodule will receive Order t4, t5It is sent to corresponding intelligent drinking machine equipment.Owing to the application only will have for same intelligent drinking machine equipment The task order of high priority is sent to scheduler task and transmits submodule and be further transmitted to corresponding intelligent drinking machine equipment, Therefore avoid unnecessary multiplexed transport and network overhead, and improve that intelligent drinking machine equipment remotely controls accurate Property, receive multiple same task orders in avoiding the short time simultaneously and cause this intelligent drinking machine device interior central processing module It is in frequent analysis process, decreases the consume that intelligent drinking machine equipment is unnecessary, relatively improve intelligent drinking machine equipment Service life, alleviate the excessive wear of intelligent drinking machine equipment.
Described intelligence drinking equipment includes central processing module, temperature sense module, wireless communication module and can electrical heating Water dispenser body, wherein central processing module is for receiving the task order from cloud server end, controls water dispenser body and adds Heat or stopping heating;Here water dispenser body can be electric kettle, electric hot water bottle etc., including but not limited in prior art That mentions includes water sensor, water quality sensor, hydraulic pressure sensor and flow transducer, wireless data transceiving device, data The components and parts such as collection analysis core.
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 (9)

1. an intelligent drinking machine control system based on cloud task scheduling, it is characterised in that include cloud server, Duo Geyong Family end and multiple intelligent drinking machine equipment, 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 drinking machine control system, including initiating task data base With 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 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 drinking machine equipment;
Described intelligent drinking machine equipment include central processing module, wireless communication module and can electrically heated water dispenser body, its Described in central processing module receive from the task order of described cloud server by described wireless communication module, control institute State water dispenser body heating or stop heating.
A kind of intelligent drinking machine control system based on cloud task scheduling the most according to claim 1, it is characterised in that institute State intelligent drinking machine equipment and also include that temperature sense module, described temperature sense module are positioned at described water dispenser body inwall, with Described central processing module electrically connects, when described central processing module is received from described high in the clouds by described wireless communication module When the task order of server is for insulation, described central processing module obtains the water temperature that described temperature sense module obtains in real time, When the threshold value that water temperature sets less than insulation, described central processing module controls the heating of described water dispenser body, when described temperature When the water temperature that induction module obtains reaches set threshold value, described central processing module stops heating;
Preferably, the task from described cloud server is received when described central processing module by described wireless communication module When order is for heating, described central processing module controls the heating of described water dispenser body;
Preferably, the task from described cloud server is received when described central processing module by described wireless communication module When order is for stopping, described central processing module controls described water dispenser body and stops heating.
3., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of claim 1 or 2, it is special Levying and be, 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 drinking machine equipment;
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.
4., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of claims 1 to 3, it is special Levying and be, 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 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.
5., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of Claims 1-4, it is special Levy and be, the degree of belief z (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.
6., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of claim 1 to 5, it is special Levy and be, 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 Trusting relationship represented by trusting relationship figure G=(U, β), wherein U represents the set of user, a user uiIn trusting relationship Being expressed as a summit in figure G, trusting relationship figure G includes multiple kinsfolk summit and multiple good friend summit, and β represents trust Directed line segment between kinsfolk summit and good friend summit in graph of a relation G, k (ui) it is user uiAs good friend, it becomes with family The weight of directed line segment β between two summits that member is represented in trusting relationship figure G, the weight of described directed line segment β represents 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) become Inverse 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.
7., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of claim 1 to 6, it is special Levying and be, 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 intelligent drinking machine equipment are same commands, if the most only The task order having limit priority for same intelligent drinking machine equipment 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 transmission submodule will connect The task order received is sent to corresponding intelligent drinking machine equipment.
8., according to a kind of based on cloud task scheduling the intelligent drinking machine control system described in any one of claim 1 to 7, it is special Levying and be, described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute Stating intelligent drinking machine equipment and all have a user side agreement, the high in the clouds agreement of described user side agreement and cloud server is based on identical Distributed cloud control protocol.
9. according to the system described in claim 1 to 8 any one, it is characterised in that the plurality of user side be smart mobile phone, Panel 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 water dispenser can identify, the life that the intelligent drinking machine 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 according to intelligence Water dispenser kind, model can filter out the command format that corresponding intelligent drinking machine can identify from described cloud server, It is converted into, in conjunction with the task order of user side, order that described intelligent drinking machine can identify and is stored in described initiating task number According in storehouse;
Preferably, described water dispenser body includes insulating pot, electricity water bottle.
CN201610429581.XA 2016-06-15 2016-06-15 A kind of intelligent drinking machine control system based on cloud task scheduling CN106131117A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610429581.XA CN106131117A (en) 2016-06-15 2016-06-15 A kind of intelligent drinking machine control system based on cloud task scheduling

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610429581.XA CN106131117A (en) 2016-06-15 2016-06-15 A kind of intelligent drinking machine control system based on cloud task scheduling

Publications (1)

Publication Number Publication Date
CN106131117A true CN106131117A (en) 2016-11-16

Family

ID=57469545

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610429581.XA CN106131117A (en) 2016-06-15 2016-06-15 A kind of intelligent drinking machine control system based on cloud task scheduling

Country Status (1)

Country Link
CN (1) CN106131117A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108334115A (en) * 2018-02-27 2018-07-27 厦门水务集团有限公司 A kind of user's water consumption control system based on credit rating appraisement system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102613897A (en) * 2012-01-11 2012-08-01 浙江大学 Information interaction intelligent water dispenser and information interaction method for same
CN104021034A (en) * 2014-06-24 2014-09-03 北京奇艺世纪科技有限公司 Task processing method and system
CN104477714A (en) * 2014-12-08 2015-04-01 乐视致新电子科技(天津)有限公司 Intelligent equipment, and method and server for controlling running of elevators on basis of intelligent equipment
WO2015138255A1 (en) * 2014-03-08 2015-09-17 Exosite LLC Facilitating communication between smart object and application provider
CN104991536A (en) * 2015-06-27 2015-10-21 广东天际电器股份有限公司 Intelligent drinking water system and application thereof
CN105117815A (en) * 2015-07-09 2015-12-02 西安科技大学 Intelligent water-delivery management system based on wireless network
CN105490896A (en) * 2015-12-09 2016-04-13 美的集团股份有限公司 Method, device and system for managing household appliances

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102613897A (en) * 2012-01-11 2012-08-01 浙江大学 Information interaction intelligent water dispenser and information interaction method for same
WO2015138255A1 (en) * 2014-03-08 2015-09-17 Exosite LLC Facilitating communication between smart object and application provider
CN104021034A (en) * 2014-06-24 2014-09-03 北京奇艺世纪科技有限公司 Task processing method and system
CN104477714A (en) * 2014-12-08 2015-04-01 乐视致新电子科技(天津)有限公司 Intelligent equipment, and method and server for controlling running of elevators on basis of intelligent equipment
CN104991536A (en) * 2015-06-27 2015-10-21 广东天际电器股份有限公司 Intelligent drinking water system and application thereof
CN105117815A (en) * 2015-07-09 2015-12-02 西安科技大学 Intelligent water-delivery management system based on wireless network
CN105490896A (en) * 2015-12-09 2016-04-13 美的集团股份有限公司 Method, device and system for managing household appliances

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108334115A (en) * 2018-02-27 2018-07-27 厦门水务集团有限公司 A kind of user's water consumption control system based on credit rating appraisement system
CN108334115B (en) * 2018-02-27 2020-09-11 厦门水务集团有限公司 User water consumption control system based on credit rating system

Similar Documents

Publication Publication Date Title
Aazam et al. Deploying fog computing in industrial internet of things and industry 4.0
US10775753B2 (en) Distributed building control system
US20210026387A1 (en) System and Methods for Actively Managing Electric Power Over an Electric Power Grid and Providing Revenue Grade Data Usable for Settlement
US10254721B2 (en) Cascaded systems and methods for controlling energy use during a demand limiting period
JP6268122B2 (en) Energy management equipment
US20190268322A1 (en) Cloud-authenticated site resource management devices, apparatuses, methods and systems
US10386088B2 (en) Efficient distribution of heating, ventilation and air conditioning functionality
CN104950836B (en) The preset-type data collection acted on behalf of using industrial cloud and intake
US20210090377A1 (en) System and method for dispensing consumable liquids
US10088818B1 (en) Systems and methods for programming and controlling devices with sensor data and learning
CN104609270B (en) A kind of intelligent elevator control system and method
US9069338B2 (en) Systems and methods for statistical control and fault detection in a building management system
US10305323B2 (en) Site management in an on-demand system
US9246757B2 (en) Commissioning devices for automation systems
EP2924569B1 (en) Device authentication to faciliate secure cloud management of industrial data
EP2959642B1 (en) Adaptive and extensible universal schema for heterogeneous internet of things (iot) devices
CN103890679B (en) Intelligent controller
US20170153632A1 (en) Routing of enterprise resource planning messages
Wang et al. Multimedia communications over cognitive radio networks for smart grid applications
CN107430399B (en) For providing a user the method, system and computer-readable medium of notice
US20160334825A1 (en) Smart building manager
US20170005822A1 (en) Information Processing Method and Electronic Device
US9117251B2 (en) Systems and methods for plug load control and management
US8005576B2 (en) Method for deactivating a utility meter
CN103475707B (en) General Internet of Things support system

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination