CN106127307A - A kind of control method of campus based on energy consumption strategy intelligent power equipment - Google Patents
A kind of control method of campus based on energy consumption strategy intelligent power equipment Download PDFInfo
- Publication number
- CN106127307A CN106127307A CN201610508060.3A CN201610508060A CN106127307A CN 106127307 A CN106127307 A CN 106127307A CN 201610508060 A CN201610508060 A CN 201610508060A CN 106127307 A CN106127307 A CN 106127307A
- Authority
- CN
- China
- Prior art keywords
- knowledge
- equipment
- strategy
- strategies
- plan
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
-
- 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
- F24F2110/00—Control inputs relating to air properties
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
-
- 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
- F24F11/59—Remote control for presetting
-
- 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
- F24F2120/20—Feedback from users
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention belongs to field of intelligent control technology, be specially the control method of campus based on energy consumption strategy based on energy consumption strategy intelligent power equipment.The present invention utilizes object-oriented representation mode to represent the plan knowledge that the equipment that affects controls, and timing strategies, environmental strategies, three kinds of control strategies to equipment of scene mode strategy are proposed on the basis of plan knowledge object represents, by user's inputting interface the various plan knowledge standardization for controlling equipment, it is expressed as the plan knowledge object of system identification, reaches in time, equipment control strategy knowledge in renewal system flexibly.The present invention can not only make electrical equipment adjust self attributes value in time according to the change of external environment, reaches energy-conservation purpose, and can facilitate user that school equipment carries out batch control, is effectively improved the work efficiency of staff.
Description
Technical field
The invention belongs to field of intelligent control technology, be specifically related to the control method of campus intelligent power equipment.
Background technology
At present, green campus construction is the importance that building energy conservation reduces discharging.Campus buildings electrical equipment mainly includes sky
Tune, illumination, socket etc..Traditional by school equipment control to reach energy-conservation by the way of there is shortcomings.First, operation is not
Just.Office building exists a large amount of different types of equipment, including air-conditioning, illumination, socket etc., only by the side of manual intervention
Formula controls equipment and can take a significant amount of time.Secondly, poor user experience.Air-conditioning equipment comprises high wind, apoplexy, low wind, temperature etc. and belongs to
Property, the setting to each attribute will allow user remove to click on corresponding button, and can only manipulate an air-conditioning every time, and works as school
When the air-conditioning equipment of garden building outfit is more, for user, workload is the hugest, due to operation inconvenience, makes equipment control
The experience controlling air-conditioning is deteriorated by personnel, thus the running status of tenacious of equipment of being unwilling, and causes the equipment can not be with
The change of external environment condition and rational state is set, thus also give and use the student of air-conditioning and teacher to bring poor experience.
Again, energy-saving effect is poor.Equipment can not adjust oneself state in time according to environmental change, causes electricity consumption to waste, such as, works as indoor
Temperature has reached comfort standard, it is not necessary to operation of air conditioner, but owing to air-conditioning could not be closed in time thus causes serious power consumption
Situation.4th, equipment controls underaction, and equipment is controlled to require to be as time change and change by user, works as the external world
During environmental change, need again to plan the control strategy to equipment, it is impossible to along with the change of external condition adjusts in time to equipment
Control strategy.
Summary of the invention
The deficiencies such as the waste electricity consumption existed for overcoming Old style campus equipment to control and control inconvenience, the present invention provides a kind of
Smart machine control program based on energy consumption strategy, the program can not only make electrical equipment adjust in time according to the change of external environment
Whole self attributes value, reaches energy-conservation purpose, and can facilitate user that school equipment carries out batch control, be effectively improved administrative man
The work efficiency of member.
The smart machine control method based on energy consumption strategy that the present invention provides, concrete steps include: utilize object-oriented
Representation represents the plan knowledge that the equipment that affects controls；Timing strategies, ring is determined on the basis of plan knowledge object represents
Border strategy, three kinds of control strategies to equipment of scene mode strategy；By a system user inputting interface for plan knowledge
Update.Wherein:
1, object-oriented representation mode is utilized to represent the plan knowledge that the equipment that affects controls.
The Object of Knowledge of object-oriented representation includes two aspects: rudimentary knowledge and plan knowledge.Rudimentary knowledge is knowledge
The basic sides in storehouse, including device attribute, type and device-dependent out of Memory；Plan knowledge storage equipment intelligence control
The corresponding strategies of system, rule, it relies on rudimentary knowledge and exists.
Controlling scene for the equipment under the energy-conservation environment in campus, the present invention uses object-oriented representation method (Object-
Oriented Knowledge Representation, i.e. OOKR) represent the plan knowledge that the equipment that affects controls.Object-oriented
Thought is a kind of high abstraction to human cognitive world ability, more conforms to the thinking habit of the mankind, to expressing for knowledge and
Process the cognitive custom more conforming to people.It is true that Object-oriented knowledge representation method has merged production, frame oriented, mistake
The knowledge representation methods such as journey, are a kind of comprehensive Structure of Knowledge Representations.It represents that structure is as follows:
Class(class) ＜ Name(title) ＞ extends(succession) ＜ BaseClass(base class) ＞
Attribute(attribute):
＜ has knowledge ＞
Method(method):
＜ knowledge processing ＞
Restraint(condition):
＜ restrictive condition ＞
}
Traditional object representation as in the attributes encapsulation of Object of Knowledge to object, causes rule solidification using rule, when
Need to change object structure when of change rule, during Fuzzy ratiocination, lack motility.Use in the present invention
During Object of Knowledge represents, rule can also be by objectification, and rule is turned by the relation within object with the relation of general knowledge object
Turning to the relation between object, rule objects and Object of Knowledge are not only distinguished and are treated by this combination, relatively independent, it is easy to
Extension and maintenance, improve system flexibility, and can utilize code reuse, reduces redundancy.The rule of objectification can be by one
Individual tlv triple represents ＜ N, P, Q, C ＞.Wherein
N: represent the title of rule；
P: representing the former piece set of rule, typically attribute and method by object forms；
Q: represent the result set of rule, be typically made up of the method for object；
C: rule execution condition, represents that triggering rule under what conditions performs；
This method for expressing of rule, not only comprises objectification feature, and has procedural feature.Former piece and result set go out
Having showed object, the execution of object method itself possesses the feature of Process Character, and the execution of method and concrete object are associated, real
Show the combination of the proceduring of rule and objectification.
2, timing strategies, environmental strategies, scene mode strategy three kinds proposed on the basis of plan knowledge object represents right
The control strategy of equipment.
Timing strategies makes the equipment meeting strategy the most jointly enter same state；Environmental strategies make device-aware
The change of external environment condition, triggers smart machine and enters the execution shape pre-set when environmental change reaches the value pre-set
State；Scene mode strategy realizes the conversion between equipment different conditions under different scene modes.
For timing strategies and environmental strategies, first system obtains main policy object (Strategy), and (main policy object is used
In definition main control device and sensor between relation) information, according to whether relevant equipment judges the plan that this object is corresponding
The most whether it is timing strategies.If timing strategies, triggering timing objects implementation strategy, timing objects is according to policy attribute, in plan
The moment slightly pre-set makes equipment perform dependent instruction, so that equipment reaches the property value pre-set, timing strategies leads to
Cross Quartz(mono-kind software frame for scheduler task in the range of certain time) framework scheduler task；If environmental strategies,
Trigger environmental strategies object to perform, before performing environmental strategies, need main control device (such as air-conditioning) and the linkage of acquisition strategy
Equipment (such as temperature sensor) information is also bound, and binding information is sent to teleprocessing object, by teleprocessing object
Binding relationship is sent to bottom controller, and in environmental strategies application process, sensor senses ambient temperature changes, and real
Shi Wendu passes to application server, according to the temperature obtained, application services judges whether its value reaches property policy object
(AttrStrategy) threshold value arranged, when ambient temperature reaches the threshold value arranged, takes out corresponding from environmental strategies storehouse
Strategy also builds control command, and control command is passed to teleprocessing object (is responsible for specially sending operation to concrete equipment
Instruction), teleprocessing object and underlying device (concrete equipment) interact, thus control main control device (such as air-conditioning) and change
Corresponding property value.When performing environmental strategies and timing strategies, application server and floor processor are by Netty(mono-kind
Soft communication agreement) framework realization communication, the temperature value being monitored sensor by audiomonitor is changed.
For scene strategy, first system obtains the concrete scene of scene mode object Scenario(strategy application),
ServerCode(service code in scene mode), groupAddress(scene address), sceneMode(scene mode, by
User defines) attribute passes to long-range control object RemoteControl(teleprocessing object, it is responsible for specially to concrete equipment
Send operational order), and call the conductScenario(of RemoteControl object for owning under concrete scene
Equipment sends operational order) method, in RemoteControl object, receive message the constructing variable of Scenario object
List, forms control command set, passes to hardware server (for assigning control to concrete device forwards by information conduit
The server of order), hardware server each equipment under scene mode strategy assign operational order.With environmental strategies and
Timing strategies is similar to, and long-range control object and hardware server realize bottom communication by Netty framework.
3, the renewal for plan knowledge of the system user inputting interface is realized.
By user's inputting interface the various plan knowledge standardization for controlling equipment, it is expressed as the plan of system identification
Slightly Object of Knowledge, reaches in time, equipment control strategy knowledge in renewal system flexibly.
The present invention mainly obtains knowledge by the way of knowledge inputs.Obtain knowledge in this way, it is necessary first to have
One friendly human-computer interaction interface, the extraneous knowledge that system can be needed is efficiently transmitted to knowledge base.The acquisition of knowledge is one
The process of individual continuous iteration, initially according to expertise, in conjunction with requirement documents and industry standard, relevant the knowing of acquisition strategy formulation
Knowing, by man machine interface, the knowledge obtained is input in system according to interface requirements, at this moment knowledge base has initial energy consumption
Strategy relevant knowledge；Next corresponding strategies is performed, due in knowledge base according to the rudimentary knowledge in knowledge base and plan knowledge
At the beginning of structure, not in view of the factor of some controlling policy effects, thus strategy may be caused the most cruelly to spill
Various problems, perform result and can not meet user's habit；By constantly practice, system can form feedback, and expert is according to feedback opinion
Adjust energy consumption strategy further, again the knowledge after integration is input in system, carries out iteration next time.At inputting interface
Behind, a set of program is had to be responsible for processing the process of Input knowledge, including to the accuracy of Input knowledge, integrity, reliability, superfluous
Remaining verifies, and makes knowledge correctly change into the Object of Knowledge of system identification, according to the original knowledge of Input knowledge and knowledge base
Compare, merge, complete the increase to knowledge base data, delete, update and clash handle.
The invention has the beneficial effects as follows, it is possible to use electricity equipment is according to the strategy pre-set, according to the change of external environment
Change and change in time self attributes value, reach to adapt to the optimum state of external environment, it is to avoid electricity consumption waste.Meanwhile, according to equipment
Control strategy can carry out batch control to equipment, is greatly saved the working time of staff.
Accompanying drawing explanation
Fig. 1 is that the plan knowledge object of the present invention represents.
Fig. 2 is the frame diagram of smart machine control strategy.
Fig. 3 is environmental strategies schematic flow sheet.
Fig. 4 is timing strategies schematic flow sheet.
Fig. 5 is scene strategic process schematic diagram.
Detailed description of the invention
In FIG, controlling scene for the equipment under the energy-conservation environment in campus, the present invention uses object-oriented representation method to represent
Plan knowledge, this expressing for knowledge and process more conform to the cognitive custom of people.Object of Knowledge mainly includes general knowledge
Object and plan knowledge object, preferably embodied by the modularity of Object of Knowledge, loose couplings, information communication mechanism etc.
The features such as intelligent, the motility of system, extensibility.The reasoning process of system is by the method within object or at object
Between carry out message transmission realize.
In fig. 2, system is by human-computer interaction interface and user's communication exchange, and this is also the Main Means of knowledge acquisition,
Inference machine carries out logical reasoning further according to knowledge base, and machine derives time parameter method, environmental strategies, field further the most by inference
Scape strategy, reaches management by these three strategy and controls the purpose of smart machine.
In figure 3, environmental strategies are the changes by sensor (interlocking equipment) sensing external environment, when external environment
When change reaches the threshold value of sensor, will trigger sensor work；Due to environmental strategies defined in knowledge base at this
The lower main control device corresponding with this sensor of strategy, so when flip-flop operation, taking out corresponding master control from knowledge base and set
Standby；Type according to main control device, it is judged that the attribute that this smart machine possesses, takes out, to knowledge base, the rule that attribute is arranged again
Then, build command history, Envelope command object, finally command parameter is delivered to tele-control system, perform corresponding strategies life
Order；Check device attribute state, it may be judged whether meet policy criteria, with or without producing a desired effect, result is fed back to strategy system
The person of determining, thus constantly update knowledge base according to feedback, make strategy reach optimum.
In the diagram, timing strategies is to pre-set a time value, after arriving this moment, and the institute under timing strategies
Equipment is had to simultaneously enter the state each pre-set.Firstly the need of activating timing strategies, take out in knowledge base according to strategy
Smart machine, the type of equipment and quantity can dynamically be arranged as required in knowledge base；Judge whether to reach strategy execution
In the moment, if reaching, then from knowledge base, take out the rule of correspondence, order, data, build command object；Pass to tele-control system
Pass control command；Check device attribute state, it may be judged whether reach strategy expection, choose whether more new knowledge according to result simultaneously
Storehouse, promotes that timing strategies is continued to optimize.
In Figure 5, scene mode is different from two above strategy, environmental strategies and timing strategies pre-set relevant
After configuration, need not manual intervention in policy enforcement procedure, simply after strategy execution completes, policy development person can be according to knot
Fruit goes artificial regeneration knowledge base.And scene strategy phase before execution, mid-term, later stage are required for the participation of people, man-machine by increasing
Level of interaction, makes the execution of scene strategy can more preferably reflect the wish of people.Its policy enforcement procedure is similar with both the above strategy,
Simply need by artificial activation's strategy, and can select to be manually switched to another scene plan during the execution of strategy
Slightly.By the practice of different scene strategies, can be continuously increased, delete, the knowledge base of more new scene strategy, make scene strategy more
Add the expectation meeting people.
Claims (4)
1. the control method of campus based on energy consumption strategy based on an energy consumption strategy intelligent power equipment, it is characterised in that
Object-oriented representation mode is utilized to represent the plan knowledge that the equipment that affects controls；Determine on the basis of plan knowledge object represents
Timing strategies, environmental strategies, three kinds of control strategies to equipment of scene mode strategy；It is used for by a system user inputting interface
The renewal of plan knowledge；Wherein:
The Object of Knowledge of described object-oriented representation includes two aspects: rudimentary knowledge and plan knowledge；Wherein, rudimentary knowledge
Including device attribute, type and device-dependent out of Memory；The corresponding strategies of plan knowledge storage equipment Based Intelligent Control,
Rule, it relies on rudimentary knowledge and exists；
Described timing strategies makes the equipment meeting strategy the most jointly enter same state；Environmental strategies make equipment sense
Know the change of external environment condition, trigger smart machine when environmental change reaches the value pre-set and enter the execution shape pre-set
State；Scene mode strategy realizes the conversion between equipment different conditions under different scene modes；
The described renewal being used for plan knowledge by a system user inputting interface, is for controlling by user's inputting interface
The various plan knowledge standardization of control equipment, are expressed as the plan knowledge object of system identification, reach in time, update system flexibly
Equipment control strategy knowledge in system.
The control method of campus the most according to claim 1 intelligent power equipment, it is characterised in that described towards right
As knowledge representation mode, it represents that structure is as follows:
Class〈Name〉 extends 〈BaseClass 〉{
Attribute:
＜ has knowledge ＞
Method:
＜ knowledge processing ＞
Restraint:
＜ restrictive condition ＞
}
In above-mentioned Object of Knowledge represents, rule can by objectification, rule and the relation of general knowledge object by object inside
Transformation be the relation between object, rule objects and Object of Knowledge are distinguished and are treated by this combination, relatively independent,
And code reuse can be utilized；The rule of objectification is represented ＜ N, P, Q, C ＞ by a tlv triple, wherein:
N: represent the title of rule；
P: representing the former piece set of rule, typically attribute and method by object forms；
Q: represent the result set of rule, be typically made up of the method for object；
C: rule execution condition, represents that triggering rule under what conditions performs；
This method for expressing of this rule, it is achieved that the combination of the proceduring and objectification of rule.
3. according to the control method of the campus intelligent power equipment described in claim 2, it is characterised in that:
For timing strategies and environmental strategies, first obtain the information of main policy object, according to whether relevant equipment judges this
Whether the strategy that object is corresponding is timing strategies；If timing strategies, triggering timing objects implementation strategy, timing objects is according to plan
Slightly attribute, makes equipment perform dependent instruction in the moment that strategy pre-sets, so that equipment reaches the property value pre-set,
Timing strategies passes through Quartz framework scheduler task；If environmental strategies, trigger environmental strategies object and perform, perform environment plan
Before Lve, need the main control device of acquisition strategy and interlocking equipment such as temperature sensor information and bind, binding information
It is sent to teleprocessing object, teleprocessing object binding relationship is sent to bottom controller, applied in environmental strategies
Cheng Zhong, sensor senses ambient temperature changes, and real time temperature passed to application server, and application services is according to obtaining
Temperature judges whether its value reaches the threshold value that property policy object is arranged, when ambient temperature reaches the threshold value arranged, from environment
Policy library take out corresponding strategy and builds control command, and control command being passed to teleprocessing object, by remotely
Reason object and underlying device interact, and finally control command are passed to bottom controller, thus control main control device and change
Corresponding property value；When performing environmental strategies and timing strategies, application server and floor processor are real by Netty framework
Now communicating, the temperature value being monitored sensor by audiomonitor is changed；
For scene strategy, first obtain scene mode object Scenario, the serverCode in scene mode,
GroupAddress, sceneMode attribute passes to long-range control object RemoteControl, and calls RemoteControl
The conductScenario method of object, in RemoteControl object, receives the message of Scenario object and constructs
Parameter list, forms control command set, passes to hardware server by information conduit, by hardware server to scene mode
Each equipment under Ce Lve assigns operational order；Similar with environmental strategies and timing strategies, long-range control object and hardware service
Device realizes bottom communication by Netty framework.
4. according to the control method of the campus intelligent power equipment described in claim 3, it is characterised in that: described by one
System user inputting interface is for the renewal of plan knowledge, and this inputting interface is a friendly human-computer interaction interface, can be being
The extraneous knowledge that system needs is efficiently transmitted to knowledge base；The acquisition of knowledge is the process of a continuous iteration, initially according to expert
Experience, in conjunction with requirement documents and industry standard, the relevant knowledge that acquisition strategy is formulated, by man machine interface the knowledge obtained by
Being input in system according to interface requirements, at this moment knowledge base has initial energy consumption strategy relevant knowledge；Next according to knowledge base
In rudimentary knowledge and plan knowledge perform corresponding strategies, owing to, at the beginning of construction of knowledge base, may not consider some shadows
Ring the factor of strategy effect, thus cause strategy the most cruelly to spill various problem, perform result and can not meet user
Practise；By constantly practice, system can form feedback, and expert adjusts energy consumption strategy further according to feedback opinion, again integration
After knowledge be input in system, carry out iteration next time；At inputting interface behind, have a set of program to be responsible for processing input to know
The process known, verifies including to the accuracy of Input knowledge, integrity, reliability, redundancy, makes knowledge correctly change into
The Object of Knowledge of system identification, compares according to the original knowledge of Input knowledge and knowledge base, merges, completes knowledge base data
Increase, delete, update and clash handle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610508060.3A CN106127307A (en) | 2016-07-01 | 2016-07-01 | A kind of control method of campus based on energy consumption strategy intelligent power equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610508060.3A CN106127307A (en) | 2016-07-01 | 2016-07-01 | A kind of control method of campus based on energy consumption strategy intelligent power equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106127307A true CN106127307A (en) | 2016-11-16 |
Family
ID=57467844
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610508060.3A Pending CN106127307A (en) | 2016-07-01 | 2016-07-01 | A kind of control method of campus based on energy consumption strategy intelligent power equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106127307A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109460857A (en) * | 2018-10-12 | 2019-03-12 | 上海企树网络科技有限公司 | Data processing method and device for modeling |
| CN111787064A (en) * | 2020-06-04 | 2020-10-16 | 深圳市酷开网络科技有限公司 | Internet of things linkage control method and system based on expert system |
| CN112182327A (en) * | 2019-07-05 | 2021-01-05 | 北京猎户星空科技有限公司 | Data processing method, device, equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1435781A (en) * | 2003-02-24 | 2003-08-13 | 杨炳儒 | Intelligent decision supporting configuration method based on information excavation |
| US7383263B2 (en) * | 2002-11-29 | 2008-06-03 | Sap Aktiengesellschaft | Controlling access to electronic documents |
| CN101329625A (en) * | 2007-06-22 | 2008-12-24 | 上海宝信软件股份有限公司 | Expert system developing platform |
| CN101778109A (en) * | 2010-01-13 | 2010-07-14 | 苏州国华科技有限公司 | Construction method for access control policy and system thereof |
| CN102997380A (en) * | 2012-12-25 | 2013-03-27 | 北京慧德盛节能科技有限公司 | Energy-saving control device for central air-conditioning system |
| CN105182923A (en) * | 2015-08-06 | 2015-12-23 | 国网山东省电力公司 | Integrated intelligent electricity usage system for building and electricity usage method thereof |
-
2016
- 2016-07-01 CN CN201610508060.3A patent/CN106127307A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7383263B2 (en) * | 2002-11-29 | 2008-06-03 | Sap Aktiengesellschaft | Controlling access to electronic documents |
| CN1435781A (en) * | 2003-02-24 | 2003-08-13 | 杨炳儒 | Intelligent decision supporting configuration method based on information excavation |
| CN101329625A (en) * | 2007-06-22 | 2008-12-24 | 上海宝信软件股份有限公司 | Expert system developing platform |
| CN101778109A (en) * | 2010-01-13 | 2010-07-14 | 苏州国华科技有限公司 | Construction method for access control policy and system thereof |
| CN102997380A (en) * | 2012-12-25 | 2013-03-27 | 北京慧德盛节能科技有限公司 | Energy-saving control device for central air-conditioning system |
| CN105182923A (en) * | 2015-08-06 | 2015-12-23 | 国网山东省电力公司 | Integrated intelligent electricity usage system for building and electricity usage method thereof |
Non-Patent Citations (4)
| Title |
|---|
| QU Y ET AL: ""A Fuzzy Expert system Framework Using Object-Oriented Techniques"", 《2008 IEEE PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION》 * |
| 吴晓龙: ""基于电气设备物联网的建筑节能应用研究"", 《中国优秀硕士学位论文全文数据库·工程科技Ⅱ辑》 * |
| 吴长华等: ""基于主动式知识库的专家系统建模和推理研究"", 《杭州电子工业学院学报》 * |
| 李曙歌: ""基于面向对象知识表示的专家系统的实现"", 《中国优秀硕士学位论文全文数据库·信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109460857A (en) * | 2018-10-12 | 2019-03-12 | 上海企树网络科技有限公司 | Data processing method and device for modeling |
| CN112182327A (en) * | 2019-07-05 | 2021-01-05 | 北京猎户星空科技有限公司 | Data processing method, device, equipment and medium |
| CN111787064A (en) * | 2020-06-04 | 2020-10-16 | 深圳市酷开网络科技有限公司 | Internet of things linkage control method and system based on expert system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113435657B (en) | Data integration processing method, system, energy management system, electronic device and computer readable storage medium | |
| CN104964397B (en) | The method of a kind of non intelligent air conditioner energy saving monitoring and Internet of things system | |
| CN101957602B (en) | Method and system thereof for monitoring and controlling environments of public place based on Zigbee | |
| CN103338565A (en) | Intelligent illumination control system and method based on wireless sensor network | |
| CN107168083A (en) | Home equipment management control system based on cloud computing | |
| CN101639695B (en) | Intelligent building networking control system | |
| CN205121197U (en) | Automatically regulated of family travelling comfort economizer | |
| CN106127307A (en) | A kind of control method of campus based on energy consumption strategy intelligent power equipment | |
| CN208537974U (en) | Smart home energy management system | |
| CN104865834A (en) | Intelligent household Internet of things control system and method | |
| CN106597862A (en) | Building energy consumption control device and building energy consumption control method based on association rule mining | |
| CN104656515B (en) | The long-range control method and system of dual system smart machine | |
| CN108449245A (en) | Apparatus control system, apparatus control method based on Internet of Things and device | |
| CN102411345A (en) | Building Internet of things system and Internet of things method for buildings | |
| CN108377590A (en) | A kind of compartmentalization intelligent radio lighting control system | |
| CN201464865U (en) | Public place environmental monitoring control system based on Zigbee | |
| CN204466007U (en) | A kind of wisdom new intelligent remote sensing controller | |
| CN106559501A (en) | A kind of flat industry control method and system | |
| CN111830842A (en) | Intelligent household non-inductive control system | |
| CN109788057B (en) | Dynamic virtual configuration method and system for Internet of things equipment | |
| Wang et al. | Green building design based on 5G network and Internet of Things system | |
| CN205448172U (en) | Central air conditioning intelligence temperature controller and central air conditioning system | |
| CN205403057U (en) | Intelligence house air conditioning control device based on cc2530 | |
| CN205608416U (en) | Intelligence house service robot system based on remote control | |
| CN204667162U (en) | A kind of distributed vertical planting management console |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161116 |