CN106123256A - A kind of Intelligent air conditioner control system based on cloud task scheduling - Google Patents
A kind of Intelligent air conditioner control system based on cloud task scheduling Download PDFInfo
- Publication number
- CN106123256A CN106123256A CN201610438786.4A CN201610438786A CN106123256A CN 106123256 A CN106123256 A CN 106123256A CN 201610438786 A CN201610438786 A CN 201610438786A CN 106123256 A CN106123256 A CN 106123256A
- Authority
- CN
- China
- Prior art keywords
- task
- user
- degree
- cloud
- order
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Signal Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
nullThe invention discloses a kind of Intelligent air conditioner control system based on cloud task scheduling，This system includes cloud server、Multiple user sides and multiple intelligent air condition equipment，This system passes through cloud system framework，Intelligent air condition equipment remotely can be controlled by kinsfolk and good friend thereof by user side，When intelligent air condition 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 air condition 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 air condition equipment is unnecessary，Improve the accuracy that this intelligent air condition equipment is performed remotely to be controlled.
Description
[technical field]
The present invention relates to intelligent air condition and control technical field, particularly relate to the regulation and control of a kind of Intelligent air based on cloud task scheduling
System processed.
[background technology]
Being actually needed for meeting, user needs a kind of intelligent air condition equipment that can remotely control, but existing intelligence
Air-conditioning is typically to be controlled by kinsfolk, if kinsfolk is in the state that network cannot connect, then and cannot be to Intelligent air
Tune equipment the most remotely controls.
Therefore, when intelligent air condition equipment is remotely controlled by multiple kinsfolks inconvenience, multiple good friend can be entrusted
It is controlled on behalf of to intelligent air condition equipment, although some Intelligent air conditioner 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 air
Multiple same remote task orders are sent, thus for same intelligent air condition equipment short period domestic demand in the tune 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 air condition device interior air-conditioning internal controller is in frequent analysis process, and adding intelligent air condition equipment need not
The consume wanted, relative reduction service life of this intelligent air condition equipment, the most also have impact on this intelligent air condition and sets
Standby correct operation, it is impossible to this intelligent air condition 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 intelligent air condition based on cloud task scheduling
Control system, its technical scheme is as follows: include cloud server, multiple user side, an indoor controller and at least one sky
Tune 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 air conditioner 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 indoor controller；
Described indoor controller includes microprocessor, wireless transport module；Described air-conditioning equipment and described indoor controller
Infrared connection；Described indoor controller receives the task order from described cloud server end by described wireless transport module,
And send control instruction control described air-conditioning equipment operation by described microprocessor.
Described indoor controller also includes infrared interface in indoor temperature detection transducer room；Described indoor infrared line connects
Mouth is connected with described microprocessor wire, and described microprocessor is connected with described wireless transport module wire；
Described air-conditioning equipment also includes that air-conditioning internal controller, indoor temperature detection sensor, the internal infrared ray of air-conditioning connect
Mouthful, wherein, described air-conditioning internal controller, described indoor temperature detection sensor and the internal infrared interface of described air-conditioning are electrically connected
Connect；Described air-conditioning internal controller infrared interface wire internal with described air-conditioning is connected；The internal infrared interface of described air-conditioning
With described indoor infrared line interface wireless connections；
Preferably, when described user side is used for issuing remote task order for opening, described air-conditioning internal controller according to
The indoor temperature that described indoor temperature detection sensor detects automatically selects suitably runs module and running temperature.
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 air-conditioning 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 air condition equipment are same commands, if the most only will
The task order having limit priority for same intelligent air condition equipment sends scheduler task transmission submodule to, if otherwise will
Task order in scheduler task data base sends scheduler task to 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 air condition equipment.
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute
State intelligent air condition equipment and all have the high in the clouds agreement of user side agreement, described user side agreement and cloud server based on identical
Distributed cloud control protocol.
The plurality of user side is smart mobile phone, panel computer, notebook or desk computer；
Preferably, described cloud storage module also includes that air-conditioning equipment list, described air-conditioning equipment list include that storage is all
Air-conditioning equipment, including air-conditioning title, brand, model, discernible order；Described user's users to trust degree analyzes submodule tuber
According to the information of storage in described air-conditioning equipment list, described user task order is carried out be converted to described air-conditioning can identify
Order, the order that the air-conditioning after conversion described in described scheduler task database purchase can identify；
Preferably, the remote task order that described user side is issued includes selecting air-conditioning equipment title；
Preferably, described cloud storage module also includes that air-conditioning equipment list, described air-conditioning equipment list include that storage is all
Air-conditioning equipment, including air-conditioning title, brand, model, discernible order；Described users to trust degree decision sub-module also includes
Resolve the content of cloud task order and send user and the body thereof of multiple cloud task order according to user side identification information identification
Part, wherein resolving cloud task order is described user task order to be carried out according to the information of storage in described air-conditioning equipment list
It is converted to the order that described air-conditioning can identify, is converted into, in conjunction with the order of user side, order that this air-conditioning can identify and deposits
Storage is in initiating task data base；
Preferably, the remote task order that described user side is issued includes selecting air-conditioning equipment title.
The Intelligent air conditioner control system of the present invention passes through cloud system framework so that kinsfolk and good friend thereof can pass through
Intelligent air condition equipment is remotely controlled by user side, when intelligent air condition equipment 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 air condition equipment 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 air condition equipment is performed remotely to be controlled, reduce
Impact and equipment loss on the work of intelligent air condition equipment.
[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 air conditioner 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 air condition equipment by kinsfolk
Row remotely controls, when intelligent air condition equipment 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 intelligent air condition 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 air condition equipment performs remotely control, it is to avoid the consumption that intelligent air condition equipment is unnecessary
Damage.
Further, since the most more than one of the air-conditioning equipment of every family, therefore to cost-effective, only use an indoor control
Device controls all of air-conditioning equipment, and cloud server passes through wireless transport module and indoor controller and indoor by remote terminal
Infrared interface, carries out remote opening closing control to air-conditioning.
See the basic framework that Fig. 1, Fig. 1 are present invention Intelligent air conditioner control systems based on cloud task scheduling,
System includes cloud server, multiple user side, an indoor controller and at least one intelligent air condition equipment, its
In
Described cloud server supports the high in the clouds agreement in distributed cloud control system agreement, the plurality of user side and institute
State intelligent air condition equipment and all have the high in the clouds agreement of user side agreement, 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, air-conditioning equipment list；
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 air condition equipment
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 resolve cloud task order and store according in described air-conditioning equipment list
Described user task order is carried out being converted to the order that described air-conditioning can identify by information, and the order in conjunction with user side is changed
Become order that this air-conditioning can identify and be stored in initiating task data base；Described degree of belief decision sub-module is from users to trust
The degree of belief of multiple users that degrees of data library inquiry is identified, and based on users to trust degree threshold value set in advance, will be less than
Task order after the conversion that the user of this users to trust degree threshold value is corresponding is deleted from initiating task data base, will be not less than this
Task order after the conversion that the user of users to trust degree threshold value is corresponding from initiating task database purchase to scheduler task data
In storehouse and based on users to trust degree, task order carried out priority configuration, and described user credit degree priority is set to institute
State the priority of the task order that user side is issued；Time decision sub-module judges the time between the multiple task orders received
Whether interval is less than scheduled time threshold value, if time interval is not less than scheduled time threshold value, time decision sub-module will scheduling
Task order in assignment database sends scheduler task to and transmits submodule；If time interval is less than scheduled time threshold value,
Multiple task orders during then time decision sub-module analyzes scheduler task data base, and judge whether for intelligent air condition
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
Air-conditioning 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 air condition equipment；
Described intelligent air condition equipment includes air-conditioning internal controller, sensor, wireless transport module and intelligent air condition equipment,
Wherein air-conditioning internal controller is for receiving the task order from cloud server end, controls intelligent air condition 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 air condition equipment 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 air condition equipment 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 air condition equipment, 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 air condition equipment 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 air condition equipment 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 air condition equipment 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 intelligent air condition
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 air condition 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 t to intelligent air condition equipment 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 air condition equipment and belong to same order, here
Order refer to the difference in functionality to intelligent air condition equipment start operation, as intelligent air condition equipment 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 out order, due to priority t3< priority
t4, the most only by the task order t of the limit priority for intelligent air condition equipment4And other intelligent air condition equipment 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 air condition equipment.Owing to the application only will have the task of limit priority for same intelligent air condition equipment
Order is sent to scheduler task and transmits submodule and be further transmitted to corresponding intelligent air condition equipment, and it is unnecessary therefore to avoid
Multiplexed transport and network overhead, and improve the accuracy that intelligent air condition equipment remotely controls, avoid the short time simultaneously
Interior reception multiple same task order causes this intelligent air condition device interior air-conditioning internal controller to be in frequent analysis process,
Decrease the consume that intelligent air condition equipment is unnecessary, relatively improve the service life of intelligent air condition equipment, alleviate Intelligent air
The excessive wear of tune equipment.
Described intelligent air condition equipment includes air-conditioning internal controller, sensor, wireless transport module and air-conditioning equipment, wherein
Air-conditioning internal controller, for receiving the task order from cloud server end, controls intelligent air condition equipment and runs, intelligent air condition
Equipment can be electric heating furnace, solar heating stove, gas heating stove etc..
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 air conditioner control system based on cloud task scheduling, it is characterised in that include cloud server, multiple user
End, an indoor controller and at least one air-conditioning 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 for storing the related data of described Intelligent air conditioner 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 indoor controller；
Described indoor controller includes microprocessor, wireless transport module；Described air-conditioning equipment is infrared with described indoor controller
Connect；Described indoor controller receives the task order from described cloud server by described wireless transport module, and leads to
Cross described microprocessor and send control instruction control described air-conditioning equipment operation.
A kind of Intelligent air conditioner control system based on cloud task scheduling the most according to claim 1, it is characterised in that described
Indoor controller also includes infrared interface in indoor temperature detection transducer room；Described indoor infrared line interface and described micro-place
Reason device wire connects, and described microprocessor is connected with described wireless transport module wire；
Described air-conditioning equipment also includes air-conditioning internal controller, indoor temperature detection sensor, the internal infrared interface of air-conditioning, its
In, described air-conditioning internal controller, described indoor temperature detection sensor and the internal infrared interface electrical connection of described air-conditioning；Institute
State air-conditioning internal controller infrared interface wire internal with described air-conditioning to be connected；The internal infrared interface of described air-conditioning is with described
Indoor infrared line interface wireless connections；
Preferably, when described user side is used for issuing remote task order for opening, described air-conditioning internal controller is according to described
The indoor temperature that indoor temperature detection sensor detects automatically selects suitably runs module and running temperature.
3. according to a kind of based on cloud task scheduling the Intelligent air conditioner control system described in any one of claim 1 or 2, its feature
Being, described cloud server also includes scheduler task data base, and described task decision sub-module is from the described users to trust number of degrees
The described users to trust degree priority of the multiple described user side of same remote task order is issued, by described user according to library inquiry
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 base,
And the task order that retrieval priority is high from described scheduler task data base is transferred to described air-conditioning 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 air conditioner control system described in any one of claims 1 to 3, 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.
5. according to a kind of based on cloud task scheduling the Intelligent air conditioner control system described in any one of Claims 1-4, 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.
6. according to a kind of based on cloud task scheduling the Intelligent air conditioner control system described in any one of claim 1 to 5, 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.
7. according to a kind of based on cloud task scheduling the Intelligent air conditioner control system described in any one of claim 1 to 6, 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 intelligent air condition equipment are same commands, if the most only by right
The task order having limit priority in same intelligent air condition equipment sends scheduler task transmission submodule to, if otherwise will adjust
Task order in degree assignment database sends scheduler task to 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 air condition equipment.
8. according to a kind of based on cloud task scheduling the Intelligent air conditioner control system described in any one of claim 1 to 7, 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
Intelligent air condition equipment all has user side agreement, and described user side agreement is divided based on identical with the high in the clouds agreement of cloud server
Cloth 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 cloud storage module also includes that air-conditioning equipment list, described air-conditioning equipment list include storing all of sky
Tune equipment, including air-conditioning title, brand, model, discernible order；Described users to trust degree decision sub-module also includes resolving
The content of cloud task order and send user and the identity thereof of multiple cloud task order according to user side identification information identification, its
Middle parsing cloud task order is described user task order to be changed according to the information of storage in described air-conditioning equipment list
Obtain the order that described air-conditioning can identify, be converted into, in conjunction with the order of user side, order that this air-conditioning can identify and be stored in
In initiating task data base；
Preferably, the remote task order that described user side is issued includes selecting air-conditioning equipment title.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610438786.4A CN106123256A (en) | 2016-06-15 | 2016-06-15 | A kind of Intelligent air conditioner control system based on cloud task scheduling |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610438786.4A CN106123256A (en) | 2016-06-15 | 2016-06-15 | A kind of Intelligent air conditioner control system based on cloud task scheduling |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106123256A true CN106123256A (en) | 2016-11-16 |
Family
ID=57470863
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610438786.4A Pending CN106123256A (en) | 2016-06-15 | 2016-06-15 | A kind of Intelligent air conditioner control system based on cloud task scheduling |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106123256A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197253A (en) * | 2017-12-29 | 2018-06-22 | 方正璞华软件（武汉）股份有限公司 | The equipment query method, apparatus and equipment of a kind of cloud monitor supervision platform |
| CN108302703A (en) * | 2018-01-18 | 2018-07-20 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
| CN110631218A (en) * | 2018-06-21 | 2019-12-31 | 青岛海尔空调器有限总公司 | Control method, device and system for air equipment and computer storage medium |
| CN112556106A (en) * | 2020-12-11 | 2021-03-26 | 马鞍山市博浪热能科技有限公司 | Air conditioner remote control system based on smart home |
| CN113238504A (en) * | 2021-05-13 | 2021-08-10 | 上海采日能源科技有限公司 | Battery energy storage control system and method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2180682A2 (en) * | 2008-10-27 | 2010-04-28 | Huawei Technologies Co., Ltd. | Method for enhancing processing priority, method for implementing interactive service, method for generating customized IVR flow, and corresponding apparatus and system |
| 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 |
| CN104865836A (en) * | 2015-05-29 | 2015-08-26 | 四川长虹电器股份有限公司 | Intelligent household management system |
| CN104902025A (en) * | 2015-05-29 | 2015-09-09 | 四川长虹电器股份有限公司 | Cloud platform system based on intelligent household equipment and intelligent household equipment control system |
| CN104902024A (en) * | 2015-05-29 | 2015-09-09 | 四川长虹电器股份有限公司 | Smart home priority control system based on cloud platform and control method thereof |
| CN105487490A (en) * | 2014-09-15 | 2016-04-13 | 酷派软件技术（深圳）有限公司 | Smart home control method and device, and smart home control equipment |
-
2016
- 2016-06-15 CN CN201610438786.4A patent/CN106123256A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2180682A2 (en) * | 2008-10-27 | 2010-04-28 | Huawei Technologies Co., Ltd. | Method for enhancing processing priority, method for implementing interactive service, method for generating customized IVR flow, and corresponding apparatus and system |
| 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 |
| CN105487490A (en) * | 2014-09-15 | 2016-04-13 | 酷派软件技术（深圳）有限公司 | Smart home control method and device, and smart home control equipment |
| CN104865836A (en) * | 2015-05-29 | 2015-08-26 | 四川长虹电器股份有限公司 | Intelligent household management system |
| CN104902025A (en) * | 2015-05-29 | 2015-09-09 | 四川长虹电器股份有限公司 | Cloud platform system based on intelligent household equipment and intelligent household equipment control system |
| CN104902024A (en) * | 2015-05-29 | 2015-09-09 | 四川长虹电器股份有限公司 | Smart home priority control system based on cloud platform and control method thereof |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197253A (en) * | 2017-12-29 | 2018-06-22 | 方正璞华软件（武汉）股份有限公司 | The equipment query method, apparatus and equipment of a kind of cloud monitor supervision platform |
| CN108302703A (en) * | 2018-01-18 | 2018-07-20 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
| CN108302703B (en) * | 2018-01-18 | 2020-04-21 | 广东美的制冷设备有限公司 | Air quality management method, system and computer readable storage medium |
| CN110631218A (en) * | 2018-06-21 | 2019-12-31 | 青岛海尔空调器有限总公司 | Control method, device and system for air equipment and computer storage medium |
| CN112556106A (en) * | 2020-12-11 | 2021-03-26 | 马鞍山市博浪热能科技有限公司 | Air conditioner remote control system based on smart home |
| CN112556106B (en) * | 2020-12-11 | 2022-06-14 | 马鞍山市博浪热能科技有限公司 | Air conditioner remote control system based on smart home |
| CN113238504A (en) * | 2021-05-13 | 2021-08-10 | 上海采日能源科技有限公司 | Battery energy storage control system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106123256A (en) | A kind of Intelligent air conditioner control system based on cloud task scheduling | |
| US11553004B2 (en) | Methods and apparatus to facilitate end-user defined policy management | |
| US10694594B2 (en) | Lighting fixture control systems and methods | |
| Viswanath et al. | System design of the internet of things for residential smart grid | |
| US9762458B2 (en) | Mesh network transmission decisions based on node performance metrics | |
| US9588506B1 (en) | Automation devices, systems, architectures, and methods for energy management and other applications | |
| CN103941663A (en) | Method and system for controlling household appliances | |
| US20120253480A1 (en) | Control apparatus, control method, program and system | |
| CN104426750A (en) | Method, equipment and system for instant messaging | |
| WO2015085724A1 (en) | Smart furniture control method, control system and remote server | |
| CN106054630A (en) | Smart home control system based on cloud task scheduling | |
| CN106027340A (en) | Intelligent bathing control system based on cloud task scheduling | |
| KR20150059081A (en) | Method and apparatus for controlling a group of home devices in a home network system | |
| US20160012553A1 (en) | Systems, devices, and methods for energy account management | |
| CN105467846A (en) | Intelligent household appliance control method and system | |
| CN105972694A (en) | Cloud task scheduling-based intelligent heating control system | |
| CN107249026B (en) | Smart home system based on Internet of Things cloud computing | |
| CN104869714A (en) | Intelligent illuminator control method, device and system | |
| CN111552195A (en) | Control method and device of intelligent household equipment | |
| CN111193779A (en) | Internet of things control method and system | |
| CN105371427A (en) | Integrated air conditioner monitoring system and remote control method | |
| CN106131117A (en) | A kind of intelligent drinking machine control system based on cloud task scheduling | |
| CN106098087A (en) | A kind of intelligent sound control system based on cloud task scheduling | |
| CN108292122B (en) | Communication between distributed information agents within a data and energy storage internet architecture | |
| Huang et al. | On quality of usage provisioning for electricity scheduling in microgrids |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161116 |
|
| RJ01 | Rejection of invention patent application after publication |