CN103164749B - Correlation load estimation system and method - Google Patents
Correlation load estimation system and method Download PDFInfo
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- CN103164749B CN103164749B CN201110424035.4A CN201110424035A CN103164749B CN 103164749 B CN103164749 B CN 103164749B CN 201110424035 A CN201110424035 A CN 201110424035A CN 103164749 B CN103164749 B CN 103164749B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The present invention is about a kind of correlation load estimation system and method. System wherein comprises: an information receiving module, an electrical load indexing information storehouse and an event prediction computing module. Information receiving module is obtained in conjunction with a sequence of events of many events and a corresponding sequence of events electrical load wave mode information, electrical load indexing information storehouse stores predeterminable event sequence electrical load index information and the event prediction sample of at least one predeterminable event sequence and corresponding each predeterminable event sequence, event prediction computing module comparison sequence of events electrical load wave mode information, at least one predeterminable event sequence electrical load index information, to produce an event prediction result of at least one event prediction sample and corresponding sequence of events. Technical scheme provided by the invention has improved the reliability that predicts the outcome.
Description
Technical field
The present invention relates to a kind of correlation load estimation system and method, and particularly relate to a kind of utilizationHistorical power information is calculated the correlation load estimation system and method for next imminent event.
Background technology
Because industrial society's electricity needs continues to increase, the situation benefit of rationing the power supply is all over the world shown in frequently, whenWhen a certain region electricity needs increases, must set up new power plant and distribution system. Each power produces systemSystem is unique system, is to produce capacity grid because each power generation system comprises electric power, and they are integrated intoTogether, to supply the electricity needs changing in specific masses or region.
In general, the electric power of most system produces capacity and cannot meet increase day by day in the worldElectricity needs. This kind of state must will have correct filling up electricity consumption is not enough and measure, as spike userLimiting program during load. Ration the power supply and can cause voltage drop, and frequency also can decline. The method also onlyCan temporarily solve the problem of power shortage. Finally, if power system capacity does not increase, system will be failed. VeryTo now, ration the power supply and still cannot solve the problem of power shortage. And the state that voltage and/or frequency decline, certainA bit as sensing electronic installation or apparatus such as computer cannot suitably operate.
Aging power equipment is also a serious problem. Have at present many power plant must keep in repair and/orThere is serious inefficiency. Multiple electric power produces equipment (as nuclear energy power plant) and under precarious position, operates,Therefore essential decommissioning. So existing multiple power has produced ability that in fact system supply electric powerShrink.
Because some temporal cannot grasp when considering and founding the factory economically, not one surely as scheduledGai Xin power plant, with the capacity of increasing electric power. If even increase electric power generation capacity, it not yet determinesThe electric power that where adds of system can reach peak efficiency. Another speech, now can be respectively without any equipmentIn power generation system, determine so-called " faint region ". Not enough electric power measurement that let us not go into the question now and newly electricityThe problem that power capacity adds, many systems still must be rationed the power supply. The reason of rationing the power supply is now industryUpper unpredictable or proofread and correct this faint region.
Faint zone definitions can not put up with the generation grid position that adds load in power generation system. For example, existingAnswer cannot be provided in modern calculating as whether a specific bus can be stood given load increase, or oneThe instantaneous increase of total inline system tolerable load, and maintain increase in demand in another bus in grid. ElectricityPress collapse generally to be caused by the system interference of two kinds of patterns: load change and incident.
But current proposed short-term load estimation algorithm, all focuses on and analyzes indivedual ammetersHistorical load wave mode, sets up model and predicts action, and not by ammeter data relation each otherInclude in and consider.
Because the defect that above-mentioned existing load estimation technology exists, the inventor is based on being engaged in this type ofThe practical experience that product design manufacture is enriched for many years and professional knowledge, coordinate the utilization of scientific principle, actively addsWith research and innovation, to founding a kind of new correlation load estimation system and method, can improve existingSome load estimation technology, make it have more practicality. Through constantly research, design, through repeatedlyStudy after sample and improvement, finally create the present invention who has practical value.
Summary of the invention
The object of the invention is to, overcome the problem that existing load estimation technology exists, and provide onePlant correlation load estimation system and method, technical problem to be solved is that raising predicts the outcome canBy degree.
Object of the present invention and technical problem to be solved are to realize by following technical scheme:
The present invention proposes a kind of correlation load estimation system, comprises an information receiving module, an electric powerLoad index data bank and an event prediction computing module. Information receiving module is obtained in conjunction with many eventsA sequence of events and a sequence of events electrical load wave mode information of corresponding sequence of events, electrical loadIndexing information storehouse stores at least one pre-of at least one predeterminable event sequence, corresponding each predeterminable event sequenceIf at least one event prediction of sequence of events electrical load index information and corresponding each predeterminable event sequenceSample, event prediction computing module comparison sequence of events electrical load wave mode information and at least one default thingPart sequence electrical load index information, to produce at least one event prediction sample and corresponding sequence of eventsOne event prediction result.
In one embodiment of this invention, correlation load estimation system more comprises an event training module, bagDraw together a gather material unit, at least one intelligent meter unit, at least one electric equipment state recording listUnit and a central service unit. Each intelligent meter unit is arranged on an electric equipment, with differenceOne electric equipment load wave mode of record electric equipment, and at a fixed cycle time passback electric equipmentLoad wave mode is to gather material unit, and electric equipment state recording unit is arranged at respectively on electric equipment, everyThe unlatching of one electric equipment and close and be considered as respectively an event, the detecting of electric equipment state recording unary systemAnd record the event of corresponding electric equipment, and be sent to gather material unit, central service unit passes throughOne network connects gather material unit, to obtain the electrical equipment of operating state of corresponding at least one electric equipmentApparatus of load wave mode and event, and set up respectively an event sample according to each electric equipment, then according to upperState event sample and above-mentioned electric equipment load wave mode set up at least one sequence of events sample and corresponding eachAt least one event prediction sample of predeterminable event sequence.
In one embodiment of this invention, above-mentioned central service unit more comprises an event data bank,Load data bank and a processing unit, event data bank stores above-mentioned event sample, and according to above-mentioned thingAt least one sequence of events sample of part Sample Establishing, load data bank stores electric equipment load wave mode, locatesPredeterminable event sequence, corresponding pre-is set up according to sequence of events sample and electric equipment load wave mode in reason unitIf the predeterminable event sequence electrical load index information of sequence of events and the event of corresponding predeterminable event sequenceForecast sample.
In one embodiment of this invention, above-mentioned processing unit is more set up an electric equipment load wave modeIndex.
In one embodiment of this invention, in above-mentioned load data bank, store corresponding each electric equipmentAn ammeter code name, a real-time power and time record.
In one embodiment of this invention, above-mentioned central service unit more comprises multiple predicting unit, everyOne predicting unit is carried out computing according at least one event prediction sample of corresponding each predeterminable event sequence, withObtain the level of confidence index of the event prediction sample of corresponding each predeterminable event sequence.
The present invention proposes a kind of correlation load predicting method, and its step is as follows: first, store at leastAt least one predeterminable event sequence electrical load of one predeterminable event sequence, corresponding each predeterminable event sequenceAt least one event prediction sample of index information and corresponding each predeterminable event sequence is in an electrical load ropeDraw in data bank, then, obtain the sequence of events in conjunction with many events by an information receiving moduleAn and sequence of events electrical load wave mode information of corresponding sequence of events. Again by an event prediction computingModule comparison sequence of events electrical load wave mode information, at least one predeterminable event sequence electrical load indexInformation and at least one event prediction sample, finally, produce an event prediction result of corresponding sequence of events.
In of the present invention one implements, correlation load predicting method more comprises an event training step, bagDraw together: an intelligent meter unit and an electric equipment state recording unit are first set on an electric equipment, logicalCross an electric equipment load wave mode of intelligent meter unit record electric equipment, and in a fixed cycleTime passback electric equipment load wave mode to gather material unit. Then, by electric equipment stateAn event of corresponding electric equipment is detected and recorded to record cell, and be sent to gather material unit, thingPart refers to the unlatching of electric equipment and closes, then by a network, makes a central service unit connect moneyMaterial is collected unit, to obtain the electric equipment load wave mode of operating state of corresponding at least one electric equipmentAnd event, last, set up an event sample, set up according to event sample and electric equipment load wave modeOne event prediction sample of one sequence of events sample and corresponding predeterminable event sequence.
In one embodiment of this invention, sequence of events sample and thing are set up in above-mentioned central service unitIn the step of part forecast sample, more comprise: set up an electric equipment load wave mode index.
In one embodiment of this invention, the step by electric loading data is collected in above-mentioned central service unitSuddenly, comprising: record current electric equipment via intelligent meter unit according to a fixed time periodOne electrical load information, is back to data searching device, is back to a load data bank of central server.
In one embodiment of this invention, the step bag of above-mentioned central service unit Collection Events dataDraw together: an event of detecting by electric equipment state recording unit setting intelligent meter unit institute wishCode name, utilizes an ammeter wave mode recognition technology to detect the generation of each event, informs data by networkCollect unit, record the historical events of intelligent meter unit, and be back to a thing of central serverPart data bank.
By technique scheme, under correlation load estimation system and method for the present invention at least hasRow advantage and beneficial effect: the present invention, by coordinating load historical summary, obtains after every event generationLoad wave mode in a period of time, and the event that cooperation detecting wish prediction ammeter may occur is recently with sideHelp prediction, improved the reliability that predicts the outcome.
In sum, the present invention has significant progress technically, and has significantly positive technology effectReally, become a new and innovative, progressive, practical new design.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, of the present invention in order to better understandTechnological means, and can being implemented according to the content of description, and for allow of the present invention above-mentioned andOther objects, feature and advantage can become apparent, below especially exemplified by preferred embodiment, and coordinate attachedFigure, is described in detail as follows.
Brief description of the drawings
Fig. 1 is the element schematic diagram of correlation load estimation system of the present invention.
Fig. 2 is the flow chart of steps of correlation load predicting method of the present invention.
Fig. 3 is the element schematic diagram of event training module of the present invention.
Fig. 4 is the flow chart of steps of event training method of the present invention.
Fig. 5 is the element schematic diagram of training of the present invention and operation system.
Fig. 6 is main execution step flow chart of the present invention.
Fig. 7 is the flow chart of steps that the present invention carries out training and operation system.
Fig. 8 A is DAQ and the pre-process schematic diagram of one embodiment of the invention.
Fig. 8 B is the sequence samples schematic diagram of one embodiment of the invention.
Fig. 8 C is sequence of events and the wave mode schematic diagram of one embodiment of the invention.
Fig. 8 D is the event prediction sample schematic diagram of one embodiment of the invention.
[main element symbol description]
110 information receiving module 111 sequences of events
112 sequence of events electrical load wave mode information 120 electrical load indexing information storehouses
130 event prediction computing module 140 predeterminable event sequences
150 predeterminable event sequence electrical load index informations
160 event prediction sample 310 electric equipments
311 312 electric equipment state recording unit, intelligent meter unit
320 330 central service unit, gather material unit
331 event data bank 332 load data bank
333 processing unit S210～S240 steps flow charts
S410～S450 steps flow chart S610～S630 steps flow chart
S710～S790 steps flow chart
Detailed description of the invention
For further set forth the present invention for the technological means reaching predetermined goal of the invention and take with and meritEffect, below in conjunction with accompanying drawing and preferred embodiment, to the correlation load estimation system proposing according to the present inventionAnd the detailed description of the invention of method, structure, feature and effect thereof, be described in detail as follows.
Fig. 1 is the element schematic diagram of correlation load estimation system of the present invention. In Fig. 1, correlationLoad estimation system comprises an information receiving module 110, an electrical load indexing information storehouse 120 and a thingPart prediction computing module 130. Information receiving module 110 is obtained the sequence of events 111 in conjunction with many eventsAnd a sequence of events electrical load wave mode information 112 of corresponding sequence of events 111, electrical load index moneyMaterial storehouse 120 stores at least one of at least one predeterminable event sequence 140, corresponding each predeterminable event sequence 140Predeterminable event sequence electrical load index information 150 and corresponding each predeterminable event sequence 140 at least oneEvent prediction sample 160, event prediction computing module 130 is compared sequence of events electrical load wave mode information112 and at least one predeterminable event sequence electrical load index information 150, to produce at least one event predictionOne event prediction result of sample 160 and corresponding sequence of events.
Fig. 2 is the flow chart of steps of correlation load predicting method of the present invention. In Fig. 2, comprising:
Step S210: store at least one predeterminable event sequence, corresponding each predeterminable event sequence at leastAt least one event of one predeterminable event sequence electrical load index information and corresponding each predeterminable event sequenceForecast sample is in an electrical load indexing information storehouse.
Step S220: obtain in conjunction with a sequence of events of many events and right by an information receiving moduleAnswer a sequence of events electrical load wave mode information of sequence of events.
Step S230: by an event prediction computing module comparison sequence of events electrical load wave mode letterBreath, at least one predeterminable event sequence electrical load index information and at least one event prediction sample.
Step S240: an event prediction result that produces corresponding sequence of events.
Fig. 3 is the element schematic diagram of event training module of the present invention. Event training module, comprises an electricityDevice equipment 310, a gather material unit 320 and a central service unit 330. Each electric equipment 310Be provided with an intelligent meter unit 311 and an electric equipment state recording unit 312, intelligent meterThe electric equipment load wave mode that unit 311 is noted down, and negative at a fixed cycle time passback electric equipmentCarrier type is to gather material unit 320, the unlatching of each electric equipment 310 and close and be considered as respectively a thingPart, the event of corresponding electric equipment 310 is detected and recorded in electric equipment state recording unit 312, and passDeliver to gather material unit 320.
Central service unit 330 comprises that an event data bank 331, a load data bank 332 and a processing are singleUnit 333. Central service unit 330 connects gather material unit 320 by a network, corresponds to obtainElectric equipment load wave mode and the event of the operating state of a few electric equipment 310, and establish according to each electrical equipmentStandby 310 set up respectively an event sample, and load data bank 332 stores electric equipment load wave mode, processPredeterminable event sequence, corresponding pre-is set up according to sequence of events sample and electric equipment load wave mode in unit 333If the predeterminable event sequence electrical load index information of sequence of events and the event of corresponding predeterminable event sequenceForecast sample.
In the present embodiment, processing unit is more set up an electric equipment load wave mode index.
Fig. 4 is the flow chart of steps of event training method of the present invention. Comprise:
Step S410: an intelligent meter unit and an electric equipment state recording unit are set in an electricityOn device equipment.
Step S420: by an electric equipment negative carrier of this electric equipment of intelligent meter unit recordType, and in fixed cycle time passback electric equipment load wave mode to gather material unit.
Step S430: detect and record one of corresponding electric equipment by electric equipment state recording unitEvent, and be sent to gather material unit, event refers to the unlatching of electric equipment and closes.
Step S440: by a network, make a central service unit connect gather material unit, to getObtain electric equipment load wave mode and the event of the operating state of corresponding at least one electric equipment.
In the present embodiment, comprise via intelligent meter unit and working as according to a fixed time period recordOne electrical load information of front electric equipment, be back to data searching device, is back to central serverOne load data bank.
In the present embodiment, comprise by electric equipment state recording unit and set intelligent meter unitThe code name of one event of institute wish detecting, for example unlatching of indivedual electrical equipment or close, utilizes an ammeter wave modeRecognition technology is detected the generation of each event, informs gather material unit by network, records intelligentThe historical events of ammeter unit, and be back to an event data bank of central server.
Step S450: set up an event sample, set up according to the electric equipment load wave mode of event sampleOne sequence of events sample and the event prediction sample to predeterminable event sequence.
In the present embodiment, more comprise and set up an electric equipment load wave mode index.
Fig. 5 is the element schematic diagram of training of the present invention and operation system. In Fig. 5, be mainly by associationFormula load estimation system is combined with event training module, particularly in central server. Can by Fig. 5Know the sequence of events 111 of collecting by gather material unit 320 and an event of corresponding sequence of events112 meetings of sequence electrical load wave mode information will by the information receiving module 110 in central service unit 330The event of electric equipment load wave mode and electric equipment is sent to event prediction computing module 130 and loadIn data bank 332.
Processing unit 333 is set up predeterminable event order according to sequence of events sample and electric equipment load wave modePredeterminable event sequence electrical load index information and the corresponding predeterminable event of row, corresponding predeterminable event sequenceThe event prediction sample of sequence, and by event prediction sample, predeterminable event sequence and predeterminable event sequenceElectrical load index information is stored in electrical load indexing information storehouse 120. Make event prediction computing moduleOne event order of 130 sequences of events that can collect according to information receiving module 110 and corresponding sequence of eventsRow electrical load wave mode information, comparison sequence of events electrical load wave mode information and at least one predeterminable eventSequence electrical load index information, to produce one of at least one event prediction sample and corresponding sequence of eventsEvent prediction result.
In the present embodiment, in load data bank, store an ammeter code name, of corresponding each electric equipmentReal-time power and time record.
In the present embodiment, central service unit more comprises multiple predicting unit, and each predicting unit is complied withAt least one event prediction sample according to corresponding each predeterminable event sequence carries out computing, corresponding every to obtainThe level of confidence index of the event prediction sample of one predeterminable event sequence.
Fig. 6 is main execution step flow chart of the present invention. Comprise:
Step S610: DAQ and pre-process.
Step S620: find out sequence samples.
Step S630: predict.
Fig. 7 is the flow chart of steps that the present invention carries out training and operation system. Comprise:
Step S710: a sequence of events electrical load wave mode that obtains sequence of events and corresponding sequence of eventsInformation.
Step S720: a sequence of events power load carrier wave of pretreatment sequence of events and corresponding sequence of eventsType information.
Step S730: query event sequence samples.
Step S740: utilize sequence of events, sequence of events electrical load wave mode information and sequence of events sampleOriginally predict.
Step S751: obtain event data.
Step S752: find out event sample.
Step S761: obtain load data.
Step S762: pretreatment load wave mode data.
Step S770: set up the corresponding of event and load wave mode.
Step S780: set up load wave mode index.
Step S790: utilize the many groups of algorithm training predicting machine.
Please refer to Fig. 8 A～Fig. 8 D, Fig. 8 A is DAQ and the preposition place of one embodiment of the inventionReason schematic diagram. Fig. 8 B is the sequence samples schematic diagram of one embodiment of the invention. Fig. 8 C is that the present invention one is realExecute routine sequence of events and wave mode schematic diagram. Fig. 8 D is that the event prediction sample of one embodiment of the invention showsIntention.
In Fig. 8 A, be that electric equipment and its load wave mode are synthesized in explanation, form an event. For example andSpeech: load wave mode A and electric equipment A form an event A (as shown in step S810), load wave mode B andElectric equipment B forms an event B (as shown in step S820) and load wave mode C and electric equipment C and formsOne event C (as shown in step S830).
In Fig. 8 B, after being the permutation and combination of each event of explanation, can infer that next being about to occursEvent. For example: event A, event B and event C form after a sequence, can carry out event B, again againOr can carry out event C after event B, event D and sequence of event E formation.
In Fig. 8 C, be that explanation sequence of events electrical load wave mode information is divided by event prediction computing moduleAfter analysing, known this sequence of events electrical load wave mode information is by load wave mode A, load wave mode B and loadWave mode C combines, that is this sequence of events electrical load wave mode information illustrates that this sequence of events is by eventA, event B and event C form.
In Fig. 8 D, accept Fig. 8 C, illustrating that sequence of events that event A, event B and event C form has canCan be able to then occur the confidence index of event B be 60%, the confidence index of event E is 30% and event AConfidence index is 10%. And along with the result of true generation, can adjust the letter of each event that continuesCardiac index.
The above, be only preferred embodiment of the present invention, not the present invention made to any formOn restriction, although the present invention disclose as above with preferred embodiment, but not in order to limit thisBright, any those skilled in the art, are not departing within the scope of technical solution of the present invention, when can profitMake a little change or be modified to the equivalence of equivalent variations real with the method for above-mentioned announcement and technology contentsExecuting example, is in every case the content that does not depart from technical solution of the present invention, according to technical spirit of the present invention toAny simple modification, equivalent variations and modification that upper embodiment does, all still belong to the technology of the present invention sideIn the scope of case.
Claims (10)
1. a correlation load estimation system, is characterized in that comprising: an event training module, oneInformation receiving module, an electrical load indexing information storehouse, an event prediction computing module;
Wherein this event training module, comprising:
One gather material unit;
At least one intelligent meter unit, is arranged at least one electric equipment, to note down respectively this extremelyOne electric equipment load wave mode of a few electric equipment, and return at a fixed cycle time that this is at least oneElectric equipment load wave mode is to this gather material unit;
At least one electric equipment state recording unit, is arranged at respectively on this at least one electric equipment, everyThe unlatching of one above-mentioned electric equipment and close and be considered as respectively an event, this at least one electric equipment state noteRecord unit is detected and is recorded this event that should at least one electric equipment, and is sent to this gather materialUnit; And
One central service unit, connects this gather material unit by a network, to obtain should be extremelyThis electric equipment load wave mode and this event of the operating state of a few electric equipment, and respectively this electricity of foundationDevice equipment is set up respectively an event sample, then according to above-mentioned event sample and above-mentioned electric equipment negative carrierType is set up at least one event prediction sample of at least one sequence of events sample and corresponding each predeterminable event sequenceThis;
This information receiving module, obtains this sequence of events sample and this event order in conjunction with many these eventsRow sample electrical load wave mode information;
This electrical load indexing information storehouse, store at least one predeterminable event sequence, corresponding each this defaultAt least one predeterminable event sequence electrical load index information of sequence of events and corresponding each this predeterminable eventAt least one event prediction sample of sequence;
This event prediction computing module, compares this sequence of events sample electrical load wave mode information and this extremelyA few predeterminable event sequence electrical load index information, pre-to produce a event that should sequence of eventsSurvey result.
2. correlation load estimation system as claimed in claim 1, is characterized in that wherein these central authoritiesService unit more comprises an event data bank, a load data bank and a processing unit, this event dataStorehouse stores above-mentioned event sample, and according to this at least one sequence of events sample of above-mentioned event Sample Establishing, shouldLoad data bank stores this at least one electric equipment load wave mode, and this processing unit is according to this at least one thingPart sequence samples and this at least one electric equipment load wave mode are set up this at least one predeterminable event sequence, rightAnswer at least one predeterminable event sequence electrical load index information and the correspondence of each this predeterminable event sequence everyAt least one event prediction sample of one this predeterminable event sequence.
3. correlation load estimation system as claimed in claim 2, is characterized in that wherein this processingAn electric equipment load wave mode index is more set up in unit.
4. correlation load estimation system as claimed in claim 2, is characterized in that wherein this eventIn data bank, store an ammeter code name of corresponding each above-mentioned electric equipment and corresponding above-mentioned event sampleThe record of one time.
5. correlation load estimation system as claimed in claim 2, is characterized in that wherein this loadIn data bank, store an ammeter code name, a real-time power and a time of corresponding each above-mentioned electric equipmentRecord.
6. correlation load estimation system as claimed in claim 1, is characterized in that wherein these central authoritiesService unit more comprises multiple predicting unit, and each above-mentioned predicting unit is according to corresponding each this default thingAt least one event prediction sample of part sequence carries out computing, to obtain corresponding each this predeterminable event sequenceThe level of confidence index of each above-mentioned event prediction sample.
7. a correlation load predicting method, is characterized in that comprising:
One intelligent meter unit and an electric equipment state recording unit are set on an electric equipment;
By an electric equipment load wave mode of this this electric equipment of intelligent meter unit record, andOne fixed cycle time returns this electric equipment load wave mode to gather material unit;
By the detecting of this electric equipment state recording unit and record to a event that should electric equipment, andBe sent to this gather material unit, this event refers to the unlatching of this electric equipment and closes;
By a network, make a central service unit connect this gather material unit, to obtain shouldThis electric equipment load wave mode and this event of the operating state of electric equipment;
And set up an event sample, set up one according to this event sample and this electric equipment load wave modeOne event prediction sample of sequence of events sample and corresponding each predeterminable event sequence;
Store at least one default thing of at least one predeterminable event sequence, corresponding each this predeterminable event sequenceAt least one event prediction sample of part sequence electrical load index information and corresponding each this predeterminable event sequenceThis is in an electrical load indexing information storehouse;
Obtain this sequence of events sample and this event in conjunction with many these events by an information receiving moduleSequence samples electrical load wave mode information;
By an event prediction computing module compare this sequence of events electrical load wave mode information, this at leastOne predeterminable event sequence electrical load index information; And
Produce an event prediction result that should sequence of events.
8. correlation load predicting method as claimed in claim 7, is characterized in that wherein these central authoritiesService unit is set up in the step of this sequence of events sample and this event prediction sample, more comprises:
Set up an electric equipment load wave mode index.
9. correlation load predicting method as claimed in claim 7, is characterized in that wherein these central authoritiesService unit collection comprises by the step of electric loading data:
Record one of current this electric equipment via this intelligent meter unit according to a fixed time periodElectrical load information;
Be back to this data searching device; And
Be back to a load data bank of this central server.
10. correlation load predicting method as claimed in claim 7, is characterized in that wherein these central authoritiesThe step that service unit is collected this event data comprises:
Set a thing of this intelligent meter unit institute wish detecting by this electric equipment state recording unitThe code name of part;
Utilize an ammeter wave mode recognition technology to detect the generation of each this event; And
Inform this gather material unit by this network, record the historical events of this intelligent meter unit, andBe back to an event data bank of this central server.
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| CN201110424035.4A CN103164749B (en) | 2011-12-13 | 2011-12-13 | Correlation load estimation system and method |
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| CN1665088A (en) * | 2004-03-05 | 2005-09-07 | 株式会社Kd动力 | Digital diagrammatic view switch apparatus system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1665088A (en) * | 2004-03-05 | 2005-09-07 | 株式会社Kd动力 | Digital diagrammatic view switch apparatus system |
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