CN105759608B - A kind of power-economizing method and system - Google Patents
A kind of power-economizing method and system Download PDFInfo
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- CN105759608B CN105759608B CN201610109373.1A CN201610109373A CN105759608B CN 105759608 B CN105759608 B CN 105759608B CN 201610109373 A CN201610109373 A CN 201610109373A CN 105759608 B CN105759608 B CN 105759608B
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- consuming apparatus
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- current consuming
- power consumption
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
Abstract
The embodiment of the invention provides a kind of power-economizing method and system, method includes: to obtain the current working type of electric system, and obtain the power consumption data of current consuming apparatus within a preset period of time under current working type；Current working type is matched with the history operating condition type in the energy conservation measure model constructed in advance, judge whether there is the history operating condition type of successful match, if it exists, then judge the size relation of the history power consumption data of current consuming apparatus within a preset period of time corresponding to the history operating condition type of power consumption data and successful match；When judging that the absolute value of difference of power consumption data and the history power consumption data is greater than preset threshold, it determines that current consuming apparatus is in anomalous operating mode, and power-save operation is carried out to current consuming apparatus using energy conservation measure corresponding to current consuming apparatus corresponding in the history operating condition type of successful match.Using the embodiment of the present invention, the threshold that user implements preferable energy conservation measure is reduced, energy saving cost is thereby reduced.
Description
Technical field
The present invention relates to power control techniques fields, more particularly to a kind of power-economizing method and system.
Background technique
Currently, usually manually selecting energy conservation measure to realize to electricity in the Energy Saving Control to electric system
The energy conservation of each current consuming apparatus in Force system.And this kind implement the method for energy conservation measure to the technical level of operator have compared with
High requirement, that is to say, that need veteran administrative staff to select suitable energy conservation measure according to the energy consumption data of computer room,
And for those of ordinary skill, it is difficult to select suitable energy conservation measure, that is, selects preferable energy conservation measure to normal operations
Threshold with higher for personnel, therefore cause this kind of power save mode higher cost.
Therefore, it is urgent to provide a kind of new energy-saving schemes, to reduce the threshold that user implements preferable energy conservation measure, in turn
Reduce energy saving cost.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of power-economizing method and system, implements preferably energy conservation to reduce user
The threshold of measure, and then reduce energy saving cost.Specific technical solution is as follows:
In a first aspect, being applied to electric system, the electric system packet the embodiment of the invention provides a kind of power-economizing method
Current consuming apparatus is included, the method may include:
The current working type of the electric system is obtained, and the current consuming apparatus obtained under the current working type exists
Power consumption data in preset time period, wherein the current working type includes at least one influence current consuming apparatus power consumption data
Condition；
The current working type is matched with the history operating condition type in the energy conservation measure model constructed in advance, is sentenced
The disconnected history operating condition type with the presence or absence of successful match, and if it exists, then judge the history work of the power consumption data and successful match
The size relation of the history power consumption data of the current consuming apparatus corresponding to condition type within a preset period of time, wherein described to go through
It include the condition of at least one history power consumption data for influencing current consuming apparatus in history operating condition type；
The current consuming apparatus corresponding to the history operating condition type for judging the power consumption data and successful match is default
When the absolute value of the difference of history power consumption data in period is greater than preset threshold, determine that the current consuming apparatus is in abnormal work
Operation mode；
When determining that the current consuming apparatus is in anomalous operating mode, using in the history operating condition type of the successful match
Energy conservation measure corresponding to the corresponding current consuming apparatus carries out power-save operation to the current consuming apparatus.
Preferably, the history power consumption data of the current consuming apparatus, comprising: the current consuming apparatus is performed manually energy conservation measure
Amendment power consumption data within a preset period of time afterwards, or, when the current consuming apparatus is not performed manually energy conservation measure when default
Between normal power consumption data in section.
Preferably, energy conservation measure model is constructed in advance using sorting algorithm, wherein the sorting algorithm includes decision tree
One of C45 algorithm, NB Algorithm and algorithm of support vector machine are a variety of.
It is preferably, described to construct energy conservation measure model in advance using sorting algorithm, comprising:
Utilize the classification of the current consuming apparatus in the disaggregated model of sorting algorithm building history operating condition type, history operating condition type
The disaggregated model of energy conservation measure corresponding to model and current consuming apparatus, wherein the electric system includes that at least two power consumptions are set
It is standby；
The first mapping for creating the disaggregated model of history operating condition type and the disaggregated model of the current consuming apparatus corresponding to it is closed
Be table and current consuming apparatus disaggregated model and energy conservation measure disaggregated model the second mapping table, wherein the power consumption is set
It include history power consumption data corresponding to current consuming apparatus in standby disaggregated model；
The history power consumption data is pre-processed according to preset pretreatment mode, to obtain pretreated history consumption
Electric data；
The disaggregated model of disaggregated model, current consuming apparatus based on history operating condition type and the disaggregated model of energy conservation measure, with
And first mapping table, the second mapping table and the building energy conservation measure of pretreated history power consumption data use model.
Preferably, the pretreatment mode includes: at least one of vacancy value facture and calculating new determinant method.
Preferably, in the embodiment of the present invention, further includes:
If the history operating condition type of successful match is not present in judgement, within a preset period of time based on the current consuming apparatus
The history power consumption data of current consuming apparatus within a preset period of time in power consumption data and the energy conservation measure model constructed in advance to
Recommend energy conservation measure in family.
Second aspect, the embodiment of the invention provides a kind of energy conserving systems, are applied to electric system, the electric system packet
Include current consuming apparatus, the system may include: acquiring unit, matching unit, energy conservation measure model construction unit, determination unit and
Judging unit；
The acquiring unit for obtaining the current working type of the electric system, and is obtained in the current working
The power consumption data of current consuming apparatus within a preset period of time under type, wherein the current working type includes at least one shadow
Ring the condition of current consuming apparatus power consumption data；
The matching unit, for constructing the current working type and the energy conservation measure model construction unit in advance
Energy conservation measure model in history operating condition type matched, judge whether there is the history operating condition type of successful match, if
In the presence of then judging the current consuming apparatus corresponding to the history operating condition type of the power consumption data and successful match in preset time
The size relation of history power consumption data in section, wherein include at least one influence current consuming apparatus in the history operating condition type
History power consumption data condition；
The determination unit judges institute corresponding to the history operating condition type of the power consumption data and successful match for working as
When stating the absolute value of the difference of the history power consumption data of current consuming apparatus within a preset period of time greater than preset threshold, the consumption is determined
Electric equipment is in anomalous operating mode；
The judging unit, for when determining that the current consuming apparatus is in anomalous operating mode, using the matching at
Energy conservation measure corresponding to the corresponding current consuming apparatus carries out energy conservation to the current consuming apparatus in the history operating condition type of function
Operation.
Preferably, the history power consumption data of the current consuming apparatus, comprising: the current consuming apparatus is performed manually energy conservation measure
Amendment power consumption data within a preset period of time afterwards, or, when the current consuming apparatus is not performed manually energy conservation measure when default
Between normal power consumption data in section.
Preferably, the energy conservation measure model construction unit is used to construct energy conservation measure model in advance using sorting algorithm,
Wherein, the sorting algorithm includes one of decision tree C45 algorithm, NB Algorithm and algorithm of support vector machine or more
Kind.
Preferably, the energy conservation measure model construction unit includes: disaggregated model building subelement, mapping table creation
Subelement, pretreatment subelement and energy conservation measure use model construction subelement；
The disaggregated model constructs subelement, for constructing the disaggregated model of history operating condition type using sorting algorithm, going through
The disaggregated model of energy conservation measure corresponding to the disaggregated model and current consuming apparatus of current consuming apparatus in history operating condition type, wherein institute
Stating electric system includes at least two current consuming apparatus；
The mapping table creates subelement, the disaggregated model for creating history operating condition type and the consumption corresponding to it
The of the disaggregated model of the disaggregated model and energy conservation measure of the first mapping table and current consuming apparatus of the disaggregated model of electric equipment
Two mapping tables, wherein include history power consumption data corresponding to current consuming apparatus in the disaggregated model of the current consuming apparatus；
The pretreatment subelement, for being located in advance according to preset pretreatment mode to the history power consumption data
Reason, to obtain pretreated history power consumption data；
The energy conservation measure uses model construction subelement, sets for the disaggregated model based on history operating condition type, power consumption
After the disaggregated model of standby disaggregated model and energy conservation measure and the first mapping table, the second mapping table and pretreatment
History power consumption data building energy conservation measure use model.
Preferably, the pretreatment mode includes: at least one of vacancy value facture and calculating new determinant method.
Preferably, in embodiments of the present invention, the matching unit is also used to: if the history of successful match is not present in judgement
Operating condition type, then in the energy conservation measure model constructed based on current consuming apparatus power consumption data within a preset period of time and in advance
Current consuming apparatus history power consumption data within a preset period of time recommend energy conservation measure to user.
Power-economizing method provided in an embodiment of the present invention and system can construct energy conservation measure model, i.e., according to history in advance
Energy conservation measure used by operating condition type, history power consumption data and skilled engineer takes out energy conservation measure and recommends mould
Type, realize under different history operating condition types to current consuming apparatus power consumption data in the normal mode of operation and energy conservation measure and
Experienced staff should analyze and learn to energy conservation measure used by anomalous operating mode and power consumption data, into
And need to only obtain electric system current working type and current consuming apparatus corresponding to power consumption data can be by constructing in advance
Energy conservation measure model judges whether current consuming apparatus is in anomalous operating mode under current working type, if judgement is in abnormal work
Mode, then the energy conservation measure according to corresponding to current consuming apparatus under the operating condition type in the energy conservation measure model constructed in advance is to power consumption
Equipment carries out energy conservation, and can be obtained skilled engineer, used energy conservation measure is simultaneously in face of this kind in history
Preferable power-save operation is taken, the prediction technique of energy conservation measure is provided, reduces the door that user implements preferable energy conservation measure
Sill improve user experience, to reduce energy saving cost.Certainly, it implements any of the products of the present invention or method might not
It needs to reach all the above advantage simultaneously.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow diagram of power-economizing method provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of energy conserving system provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram for the energy conservation measure model that one kind provided in an embodiment of the present invention constructs in advance；
Fig. 4 is the schematic diagram for the energy conservation measure model that another kind provided in an embodiment of the present invention constructs in advance.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In order to solve prior art problem, the embodiment of the invention provides a kind of power-economizing method and systems.
In a first aspect, being applied to electric system the embodiment of the invention provides a kind of power-economizing method, which includes
Current consuming apparatus, as shown in Figure 1, the power-economizing method may include steps of:
S101: the current working type of the electric system is obtained, and obtains the current consuming apparatus under operating condition type in this prior
Power consumption data within a preset period of time, wherein the current working type includes at least one influence current consuming apparatus power consumption data
Condition；
Wherein, it obtains the current working type of the electric system first, and obtains current consuming apparatus within a preset period of time
Power consumption data, it is to be understood that may include multiple current consuming apparatus in the electric system, and including multiple current consuming apparatus
When, obtain multiple current consuming apparatus corresponding power consumption data within a preset period of time.
It is emphasized that technical staff can set the size of preset time period as the case may be, also, can will be warm
The factors such as degree, humidity and operating time are set as influencing the factor of operating condition type, and when temperature, humidity and operating time etc. because
Default operating condition type is not identical when the value of element is more than preset range.
S102: the current working type and the history operating condition type in the energy conservation measure model that in advance constructs are carried out
Match, judges whether there is the history operating condition type of successful match, and if it exists, then judge the history of the power consumption data and successful match
The size relation of the history power consumption data of the current consuming apparatus corresponding to operating condition type within a preset period of time, wherein the history
It include the condition of at least one history power consumption data for influencing current consuming apparatus in operating condition type；
Wherein, which is a kind of supervised learning model based on classification.History operating condition class
Type can belong to one in the energy conservation measure constructed in advance classification, and in history operating condition type there may be history operating condition Class1,
History operating condition type 2 and history operating condition type 3 etc.；The energy conservation measure model constructed in advance can to the history operating condition Class1-3 with
And the history power consumption data of current consuming apparatus carries out classification supervised learning in history operating condition Class1-3；It is only needed at this time by current work
In the energy conservation measure model that the power consumption data input of current consuming apparatus constructs in advance under condition type and current working type, the preparatory structure
The energy conservation measure built can provide the energy conservation measure of prediction, and the energy conservation measure of the prediction is according to experienced technology in history
Personnel are coping with what history energy conservation measure used by corresponding situation obtained.
S103: the current consuming apparatus corresponding to the history operating condition type for judging the power consumption data and successful match is default
When the absolute value of the difference of history power consumption data in period is greater than preset threshold, determine that the current consuming apparatus is in abnormal work
Mode；
Wherein, when determining that the current consuming apparatus is in anomalous operating mode, alarm can be issued, prompts user's current working
Current consuming apparatus under type is in anomalous operating mode, causes the attention of user, avoids the generation of accident, it is to be understood that
The mode that this kind sounds an alarm is also feasible.
S104: when determining that the current consuming apparatus is in anomalous operating mode, the history operating condition type of the successful match is utilized
In energy conservation measure corresponding to the corresponding current consuming apparatus power-save operation is carried out to the current consuming apparatus.
Wherein, there is at least one corresponding energy conservation measure in the current consuming apparatus for being determined to be in anomalous operating mode.
It is worth noting that, the step of one embodiment using the energy conservation measure model prediction energy conservation measure constructed in advance
Suddenly concretely: the power consumption data of current consuming apparatus under current working type and current working type is inputted to the energy conservation constructed in advance
Measure model；Current working type is carried out in a model to be matched with history operating condition type；In the presence of current working type
When with successful history operating condition type, by the power consumption data of current consuming apparatus under current working and power consumption of the same race under this kind of history operating condition
The history power consumption data of equipment is compared；And it can be compared by doing difference, and the absolute value of difference is greater than preset threshold
When, it determines that current consuming apparatus is in anomalous operating mode at this time, is then somebody's turn to do using corresponding in the history operating condition type of successful match
Energy conservation measure corresponding to current consuming apparatus carries out power-save operation to the current consuming apparatus；Or it is compared by doing difference, and difference
Absolute value be less than preset threshold when, by the energy consumption data of current consuming apparatus another under current working type and this kind of history operating condition class
The power consumption data of current consuming apparatus of the same race is compared under type, until can be matched in the energy conservation measure model constructed in advance
Energy conservation measure simultaneously carries out power-save operation to the current consuming apparatus using the energy conservation measure.
It certainly,, can be with after energy conservation measure being matched in the energy conservation measure model that this is constructed in advance in another embodiment
The matched energy conservation measure is prompted to user rather than directlys adopt the energy conservation measure and power-save operation is carried out to the current consuming apparatus,
User is allowed to decide whether using the energy conservation measure, it is to be understood that this kind of power save mode is also feasible.
In the embodiment of the present invention, energy conservation measure model can be constructed in advance, i.e., according to history operating condition type, history power consumption number
Energy conservation measure recommended models are taken out according to energy conservation measure used by skilled engineer, are realized in different history works
Current consuming apparatus power consumption data in the normal mode of operation and energy conservation measure and experienced staff are being answered under condition type
Energy conservation measure used by anomalous operating mode and power consumption data are analyzed and learnt, and then need to only obtain electric system
Power consumption data corresponding to current working type and current consuming apparatus can be judged current by the energy conservation measure model constructed in advance
Whether current consuming apparatus is in anomalous operating mode under operating condition type, if judgement is in anomalous operating mode, according to building in advance
Energy conservation measure model under the operating condition type energy conservation measure corresponding to current consuming apparatus energy conservation is carried out to current consuming apparatus, can obtain
Skilled engineer used energy conservation measure and takes preferable power-save operation when facing this kind in history,
The prediction technique of energy conservation measure is provided, the threshold that user implements preferable energy conservation measure is reduced, improves user experience, from
And reduce energy saving cost.
Further, the history power consumption data of the current consuming apparatus, comprising: the current consuming apparatus is performed manually energy conservation measure
Amendment power consumption data within a preset period of time afterwards, or, in preset time when the current consuming apparatus is not performed manually energy conservation measure
Normal power consumption data in section.
It is understood that can recorde current consuming apparatus in building energy conservation measure model in advance and be performed manually energy conservation
Amendment power consumption data after measure within a preset period of time, or, default when the current consuming apparatus is not performed manually energy conservation measure
Normal power consumption data in period is as history power consumption data corresponding to current consuming apparatus, then the history of current consuming apparatus consumes at this time
Electric data are all data corresponding when working normally.It is preferably energy saving in the energy conservation measure model prediction constructed in advance using this
When measure, history operating condition type corresponding to current working type is found, after searching successfully, it can be determined that in current working class
Whether the corresponding power consumption data of current consuming apparatus under type and the absolute value of the difference of the history power consumption data of this kind of current consuming apparatus are big
In preset threshold, when being greater than threshold value, it may be determined that the current consuming apparatus is in anomalous operating mode, and going through using the successful match
Energy conservation measure corresponding to the corresponding current consuming apparatus carries out power-save operation to the current consuming apparatus in history operating condition type.
It is emphasized that the preset threshold can be arranged in technical staff according to specific needs.
Further, energy conservation measure model is constructed in advance using sorting algorithm, wherein the sorting algorithm includes decision tree
One of C45 algorithm, NB Algorithm and algorithm of support vector machine are a variety of.
It is understood that utilizing one of decision tree C45 algorithm, NB Algorithm and algorithm of support vector machine
Or a variety of sorting algorithms construct energy conservation measure model in advance can be manual in the power system to skilled engineer in history
The power consumption data of the current consuming apparatus of the energy conservation measure of execution and corresponding electric system is analyzed and is learnt, so as to will be current
The power consumption data and current working type of current consuming apparatus in electric system input in the energy conservation measure model constructed in advance, obtain
Take the preferable energy conservation measure obtained by the model prediction.
It is emphasized that decision tree C45 algorithm, NB Algorithm and algorithm of algorithm of support vector machine itself are
The prior art, this will not be repeated here.
Further, this constructs energy conservation measure model using sorting algorithm in advance, comprising:
Utilize the classification of the current consuming apparatus in the disaggregated model of sorting algorithm building history operating condition type, history operating condition type
The disaggregated model of energy conservation measure corresponding to model and current consuming apparatus, wherein the electric system includes at least two current consuming apparatus；
The first mapping for creating the disaggregated model of history operating condition type and the disaggregated model of the current consuming apparatus corresponding to it is closed
Be table and current consuming apparatus disaggregated model and energy conservation measure disaggregated model the second mapping table, wherein the current consuming apparatus
Disaggregated model in include current consuming apparatus corresponding to history power consumption data；
The history power consumption data is pre-processed according to preset pretreatment mode, to obtain pretreated history power consumption
Data；
The disaggregated model of disaggregated model, current consuming apparatus based on history operating condition type and the disaggregated model of energy conservation measure, with
And first mapping table, the second mapping table and the building energy conservation measure of pretreated history power consumption data use model.
It is understood that in this kind of implementation, it can be according to the mapping relations between disaggregated model and disaggregated model
Table establishes building energy conservation measure model in advance, and history operating condition type corresponding one is classified, each power consumption in history operating condition type
Equipment corresponding one is classified, the corresponding classification of energy conservation measure corresponding to each current consuming apparatus, according between classification and classification
Mapping relations finally can correspond at least one energy conservation measure.
A kind of energy conservation measure model constructed in advance using decision tree C45 algorithm is illustrated below by Fig. 3.
As shown in figure 3, including three kinds of server, lighting apparatus and pressure fan current consuming apparatus in the electric system, foundation is determined
Plan tree C45 sorting algorithm regard history operating condition type, current consuming apparatus type and energy conservation measure as classification, i.e., by history operating condition class
Type, current consuming apparatus type and energy conservation measure are set to node location, and leaf node position, bifurcated can only be arranged in energy conservation measure
Mapping relations are represented in path, this guarantees current working type and the corresponding power consumption data of current consuming apparatus are being input to this
When in decision tree, it can predict to obtain at least one energy conservation measure, so that the threshold that user uses preferable energy conservation measure is reduced,
Wherein, in Fig. 3 judge size relation be more than or equal to or in-less-than symbol before all for current consuming apparatus history power consumption data and work as
Preceding power consumption data seeks the poor corresponding numerical value that takes absolute value, which constitutes the mapping relations in diverging paths.
Specifically, current working type is matched with history operating condition type, learns that current working type belongs to operating condition
Class1, at this time by the history power consumption data of the server under the server power consumption data and operating condition Class1 under current working type
The absolute value of difference be compared with a °, when the absolute value is more than or equal to a °, learn that current server is in abnormal work
Mode, then prediction obtains energy conservation measure 1 at this time；When difference is less than a °, the consumption of the lighting apparatus under current working type is judged
The absolute value of the difference of the history power consumption data of lighting apparatus under electric data and operating condition Class1 is with b ° of size relation, when this
When absolute value is more than or equal to b °, learn that current lighting apparatus is in anomalous operating mode, then prediction obtains energy conservation measure 2 at this time；
When difference is less than b °, the power consumption data of the pressure fan under current working type and going through for the pressure fan under operating condition Class1 are judged
The absolute value of the difference of history power consumption data is learnt at pressure fan with c ° of size relation when the absolute value is more than or equal to c °
In anomalous operating mode, then prediction obtains energy conservation measure 3 at this time；When difference is less than c °, due at this time without other current consuming apparatus,
Then at this time with reference to the energy conservation measure 4 that experienced staff manually performs in that case in history, wherein history consumption
Electric data are that the current consuming apparatus is performed manually the amendment power consumption data after energy conservation measure within a preset period of time, or, the power consumption
Normal power consumption data when equipment is not performed manually energy conservation measure within a preset period of time.
It requires emphasis, when current working type belongs to operating condition type 2 or operating condition type 3, prediction obtains energy conservation measure
Method with the method for operating condition Class1, details are not described herein；In addition, may include but be not limited to that clothes in electric system
Business three kinds of device, lighting apparatus and pressure fan current consuming apparatus；In addition, the energy conservation measure model constructed in advance includes but is not limited to
Energy conservation measure model as shown in Figure 3.
Wherein, a ° as shown in Figure 3, b ° and c ° can be set by those skilled in the art according to specific requirement,
And energy conservation measure 1 to energy conservation measure 12 can belong to identical energy conservation measure, may belong to different energy conservation measures, and depend on
For constructing the training data of the energy conservation measure model.
Further, which includes: at least one of vacancy value facture and calculating new determinant method.
It is understood that, in the training stage of model, vacancy value facture can delete consumption in this kind of implementation
There are the sample datas of vacancy value in history power consumption data corresponding to electric equipment, so that the model established is more acurrate, obtain more
The energy conservation measure of good prediction；In the training stage of model, two kinds of current consuming apparatus institutes can also be calculated according to new determinant method is calculated
The quotient of corresponding history power consumption data, and the quotient can measure the efficiency level of electric system, it is different in certain value range
Efficiency level correspond to different energy conservation measures, then in the service stage of model, can be realized pair by the judgement to efficiency level
The prediction of energy conservation measure.
Further, in embodiments of the present invention, further includes:
If the history operating condition type of successful match, the consumption based on the current consuming apparatus within a preset period of time is not present in judgement
The history power consumption data of current consuming apparatus within a preset period of time in electric data and the energy conservation measure model constructed in advance is to user
Recommend energy conservation measure.
It is understood that in this kind of implementation, if the history operating condition type of successful match is not present in judgement,
The matching to history operating condition type is skipped, the power consumption data of the current consuming apparatus within a preset period of time and in advance building are directly based upon
Energy conservation measure model in current consuming apparatus history power consumption data within a preset period of time recommend energy conservation measure to user.
Another energy conservation measure model constructed in advance using decision tree C45 algorithm is illustrated below by Fig. 4.
As shown in figure 4, including the part classifying in classification as shown in Figure 3 in the electric system, i.e., in current working class
Type and history operating condition type are unable to successful match, then directly right by the power consumption data of current consuming apparatus and current consuming apparatus institute of the same race
The history power consumption data answered is matched, wherein history power consumption data power consumption unmodified when can be anomalous operating mode
Equipment does not correct history power consumption data, then is in not repairing under anomalous operating mode for server for as shown in Figure 4 at this time 30 °
Positive history power consumption data；5 ° are under anomalous operating mode for lighting apparatus and do not correct history power consumption data；20 ° are pressure fan
History power consumption data is not corrected under anomalous operating mode.The power consumption data of server power consumption in current electric system is big
When being equal to 30 °, prediction obtains energy conservation measure 13；When less than 30 °, the power consumption data of lighting apparatus is judged；Work as judgement
When the power consumption data of lighting apparatus is more than or equal to 5 °, prediction obtains energy conservation measure 14；When less than 5 °, to the power consumption data of pressure fan
Judged；When the power consumption data for judging pressure fan is more than or equal to 20 °, prediction obtains energy conservation measure 15；When less than 20 °, in advance
Measure energy conservation measure 16.
It is emphasized that, in order to improve the speed of prediction energy conservation measure, such as scheming in building energy conservation measure model in advance
It only establishes shown in 4 and classifies to the classification of history power consumption data and energy conservation measure of current consuming apparatus, and simplify the method for mapping relations
It is also feasible, wherein history power consumption data and power consumption data mentioned herein should be understood as within a preset period of time
Corresponding data.
Second aspect corresponds to above method embodiment, and the embodiment of the invention also provides a kind of energy conserving systems, are applied to
Electric system, the electric system include current consuming apparatus, as shown in Fig. 2, the system may include: acquiring unit 201, matching unit
202, energy conservation measure model construction unit 203, determination unit 204 and judging unit 205；
The acquiring unit 201 for obtaining the current working type of the electric system, and obtains operating condition type in this prior
Under current consuming apparatus power consumption data within a preset period of time, wherein the current working type includes at least one influencing power consumption
The condition of electricity consumption of equipment data；
The matching unit 202, for constructing the current working type and the energy conservation measure model construction unit 203 in advance
Energy conservation measure model in history operating condition type matched, judge whether there is the history operating condition type of successful match, if
In the presence of then judging the current consuming apparatus corresponding to the history operating condition type of the power consumption data and successful match within a preset period of time
History power consumption data size relation, wherein in the history operating condition type include it is at least one influence current consuming apparatus history
The condition of power consumption data；
The determination unit 204 judges to be somebody's turn to do corresponding to the history operating condition type of the power consumption data and successful match for working as
When the absolute value of the difference of the history power consumption data of current consuming apparatus within a preset period of time is greater than preset threshold, determine that the power consumption is set
It is standby to be in anomalous operating mode；
The judging unit 205, for utilizing the successful match when determining that the current consuming apparatus is in anomalous operating mode
Energy conservation measure corresponding to the corresponding current consuming apparatus carries out power-save operation to the current consuming apparatus in history operating condition type.
In the embodiment of the present invention, energy conservation measure model can be constructed in advance, i.e., according to history operating condition type, history power consumption number
Energy conservation measure recommended models are taken out according to energy conservation measure used by skilled engineer, are realized in different history works
Current consuming apparatus power consumption data in the normal mode of operation and energy conservation measure and experienced staff are being answered under condition type
Energy conservation measure used by anomalous operating mode and power consumption data are analyzed and learnt, and then need to only obtain electric system
Power consumption data corresponding to current working type and current consuming apparatus can be judged current by the energy conservation measure model constructed in advance
Whether current consuming apparatus is in anomalous operating mode under operating condition type, if judgement is in anomalous operating mode, according to building in advance
Energy conservation measure model under the operating condition type energy conservation measure corresponding to current consuming apparatus energy conservation is carried out to current consuming apparatus, can obtain
Skilled engineer used energy conservation measure and takes preferable power-save operation when facing this kind in history,
The prediction technique of energy conservation measure is provided, the threshold that user implements preferable energy conservation measure is reduced, improves user experience, from
And reduce energy saving cost.
Further, the history power consumption data of the current consuming apparatus, comprising: the current consuming apparatus is performed manually energy conservation measure
Amendment power consumption data within a preset period of time afterwards, or, in preset time when the current consuming apparatus is not performed manually energy conservation measure
Normal power consumption data in section.
Further, which is used to construct energy conservation measure in advance using sorting algorithm
Model, wherein the sorting algorithm includes one of decision tree C45 algorithm, NB Algorithm and algorithm of support vector machine
Or it is a variety of.
Further, which includes: disaggregated model building subelement, mapping relations
Table creates subelement, pretreatment subelement and energy conservation measure and uses model construction subelement；
The disaggregated model constructs subelement, for the disaggregated model using sorting algorithm building history operating condition type, history
The disaggregated model of energy conservation measure corresponding to the disaggregated model and current consuming apparatus of current consuming apparatus in operating condition type, wherein the electricity
Force system includes at least two current consuming apparatus；
The mapping table creates subelement, the disaggregated model for creating history operating condition type and the power consumption corresponding to it
The second of the disaggregated model of the disaggregated model and energy conservation measure of the first mapping table and current consuming apparatus of the disaggregated model of equipment
Mapping table, wherein include history power consumption data corresponding to current consuming apparatus in the disaggregated model of the current consuming apparatus；
The pretreatment subelement, for being pre-processed according to preset pretreatment mode to the history power consumption data, with
Obtain pretreated history power consumption data；
The energy conservation measure uses model construction subelement, for disaggregated model, current consuming apparatus based on history operating condition type
Disaggregated model and energy conservation measure disaggregated model and the first mapping table, the second mapping table and pretreated
History power consumption data constructs energy conservation measure and uses model.
Further, the pretreatment mode includes: at least one of vacancy value facture and calculating new determinant method.
Further, in embodiments of the present invention, which is also used to:
If the history operating condition type of successful match is not present in judgement, within a preset period of time based on the current consuming apparatus
The history power consumption data of current consuming apparatus within a preset period of time in power consumption data and the energy conservation measure model constructed in advance to
Recommend energy conservation measure in family.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of power-economizing method, which is characterized in that be applied to electric system, the electric system includes current consuming apparatus, the side
Method includes:
The current working type of the electric system is obtained, and obtains the current consuming apparatus under the current working type default
Power consumption data in period, wherein the current working type includes at least one item for influencing current consuming apparatus power consumption data
Part；
The current working type is matched with the history operating condition type in the energy conservation measure model constructed in advance, judgement is
No there are the history operating condition types of successful match, and if it exists, then judges the history operating condition class of the power consumption data and successful match
The size relation of the history power consumption data of the current consuming apparatus corresponding to type within a preset period of time, wherein the history work
It include the condition of at least one history power consumption data for influencing current consuming apparatus in condition type；The energy conservation measure model is to be based on going through
Disaggregated model, the disaggregated model of current consuming apparatus and the disaggregated model of energy conservation measure of history operating condition type and the first mapping relations
What table, the second mapping table and pretreated history power consumption data constructed；First mapping table are as follows: history
The mapping table of the disaggregated model of the disaggregated model of operating condition type and the current consuming apparatus corresponding to it；Second mapping relations
Table are as follows: the mapping table of the disaggregated model of the disaggregated model and energy conservation measure of current consuming apparatus；
The current consuming apparatus corresponding to the history operating condition type for judging the power consumption data and successful match is in preset time
When the absolute value of the difference of history power consumption data in section is greater than preset threshold, determine that the current consuming apparatus is in abnormal work mould
Formula；
It is right using institute in the history operating condition type of the successful match when determining that the current consuming apparatus is in anomalous operating mode
Energy conservation measure corresponding to the current consuming apparatus answered carries out power-save operation to the current consuming apparatus.
2. the method according to claim 1, wherein the history power consumption data of the current consuming apparatus, comprising:
The current consuming apparatus is performed manually the amendment power consumption data after energy conservation measure within a preset period of time, or,
Normal power consumption data when the current consuming apparatus is not performed manually energy conservation measure within a preset period of time.
3. method according to claim 1 or 2, which is characterized in that construct energy conservation in advance using sorting algorithm
Measure model, wherein the sorting algorithm includes in decision tree C45 algorithm, NB Algorithm and algorithm of support vector machine
It is one or more.
4. according to the method described in claim 3, it is characterized in that, described construct energy conservation measure mould using sorting algorithm in advance
Type, comprising:
Utilize the disaggregated model of the current consuming apparatus in the disaggregated model of sorting algorithm building history operating condition type, history operating condition type
With the disaggregated model of energy conservation measure corresponding to current consuming apparatus, wherein the electric system includes at least two current consuming apparatus；
The first mapping table of the disaggregated model of history operating condition type and the disaggregated model of the current consuming apparatus corresponding to it is created,
And the second mapping table of the disaggregated model of the disaggregated model and energy conservation measure of current consuming apparatus, wherein the current consuming apparatus
It include history power consumption data corresponding to current consuming apparatus in disaggregated model；
The history power consumption data is pre-processed according to preset pretreatment mode, to obtain pretreated history power consumption number
According to；
The disaggregated model of disaggregated model, current consuming apparatus based on history operating condition type and the disaggregated model of energy conservation measure, Yi Ji
One mapping table, the second mapping table and the building energy conservation measure of pretreated history power consumption data use model.
5. according to the method described in claim 4, it is characterized in that, the pretreatment mode includes: vacancy value facture and meter
Calculate at least one of new determinant method.
6. method according to claim 1 or 2, which is characterized in that further include:
If the history operating condition type of successful match, the power consumption based on the current consuming apparatus within a preset period of time is not present in judgement
The history power consumption data of current consuming apparatus within a preset period of time in data and the energy conservation measure model constructed in advance is pushed away to user
Recommend energy conservation measure.
7. a kind of energy conserving system, which is characterized in that be applied to electric system, the electric system includes current consuming apparatus, the system
System includes:
Acquiring unit for obtaining the current working type of the electric system, and obtains under the current working type
The power consumption data of current consuming apparatus within a preset period of time, wherein the current working type includes that at least one influence power consumption is set
The condition of standby power consumption data；
Matching unit, the energy conservation measure mould for constructing the current working type and energy conservation measure model construction unit in advance
History operating condition type in type is matched, and judges whether there is the history operating condition type of successful match, and if it exists, then judge institute
State the history consumption of the current consuming apparatus corresponding to the history operating condition type of power consumption data and successful match within a preset period of time
The size relation of electric data, wherein include at least one history power consumption number for influencing current consuming apparatus in the history operating condition type
According to condition；The energy conservation measure model is the disaggregated model and section of disaggregated model based on history operating condition type, current consuming apparatus
The disaggregated model and the first mapping table, the second mapping table and pretreated history power consumption data structure of energy measure
It builds；First mapping table are as follows: point of the disaggregated model of history operating condition type and the current consuming apparatus corresponding to it
The mapping table of class model；Second mapping table are as follows: the disaggregated model of current consuming apparatus and the classification mould of energy conservation measure
The mapping table of type；
Determination unit judges that the power consumption corresponding to the history operating condition type of the power consumption data and successful match is set for working as
When the absolute value of the difference of standby history power consumption data within a preset period of time is greater than preset threshold, determine at the current consuming apparatus
In anomalous operating mode；
Judging unit, for utilizing the history of the successful match when determining that the current consuming apparatus is in anomalous operating mode
Energy conservation measure corresponding to the corresponding current consuming apparatus carries out power-save operation to the current consuming apparatus in operating condition type.
8. system according to claim 7, which is characterized in that the history power consumption data of the current consuming apparatus, comprising:
The current consuming apparatus is performed manually the amendment power consumption data after energy conservation measure within a preset period of time, or,
Normal power consumption data when the current consuming apparatus is not performed manually energy conservation measure within a preset period of time.
9. the system according to any one of claim 7 or 8, which is characterized in that the energy conservation measure model construction unit
For constructing energy conservation measure model in advance using sorting algorithm, wherein the sorting algorithm includes decision tree C45 algorithm, simplicity
One of bayesian algorithm and algorithm of support vector machine are a variety of.
10. system according to claim 9, which is characterized in that the energy conservation measure model construction unit includes:
Disaggregated model constructs subelement, for the disaggregated model using sorting algorithm building history operating condition type, history operating condition class
The disaggregated model of energy conservation measure corresponding to the disaggregated model and current consuming apparatus of current consuming apparatus in type, wherein the power train
System includes at least two current consuming apparatus；
Mapping table creates subelement, the disaggregated model for creating history operating condition type and the current consuming apparatus corresponding to it
Second mapping of the disaggregated model of the disaggregated model and energy conservation measure of the first mapping table and current consuming apparatus of disaggregated model is closed
It is table, wherein include history power consumption data corresponding to current consuming apparatus in the disaggregated model of the current consuming apparatus；
Subelement is pre-processed, for pre-processing according to preset pretreatment mode to the history power consumption data, to obtain in advance
Treated history power consumption data；
Energy conservation measure uses model construction subelement, the classification for disaggregated model, current consuming apparatus based on history operating condition type
The disaggregated model and the first mapping table of model and energy conservation measure, the second mapping table and pretreated history consumption
Electric data building energy conservation measure uses model.
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| CN109272059B (en) * | 2018-12-04 | 2021-05-04 | 合肥泰禾光电科技股份有限公司 | Dynamic data classification method and device |
| CN112560973A (en) * | 2020-12-22 | 2021-03-26 | 浙江浙大中控信息技术有限公司 | Automatic judgment method for energy-saving equipment applied to energy management system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101872437A (en) * | 2009-04-27 | 2010-10-27 | 深圳市中电电力技术有限公司 | Energy-saving processing method and system thereof |
| CN102289585A (en) * | 2011-08-15 | 2011-12-21 | 重庆大学 | Real-time monitoring method for energy consumption of public building based on data mining |
| CN103853106A (en) * | 2012-11-28 | 2014-06-11 | 同济大学 | Energy consumption prediction parameter optimization method of building energy supply device |
| CN104091042A (en) * | 2014-06-15 | 2014-10-08 | 西南交通大学 | Operating data-based method for energy conservation diagnosis and energy conservation potential analysis on central air-conditioning system |
| CN104199961A (en) * | 2014-09-19 | 2014-12-10 | 北京建筑技术发展有限责任公司 | Data mining based public building energy consumption monitoring platform data processing method |
| CN104915562A (en) * | 2015-06-11 | 2015-09-16 | 上海新长宁低碳投资管理有限公司 | Building energy efficiency diagnosis method and system |
-
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101872437A (en) * | 2009-04-27 | 2010-10-27 | 深圳市中电电力技术有限公司 | Energy-saving processing method and system thereof |
| CN102289585A (en) * | 2011-08-15 | 2011-12-21 | 重庆大学 | Real-time monitoring method for energy consumption of public building based on data mining |
| CN103853106A (en) * | 2012-11-28 | 2014-06-11 | 同济大学 | Energy consumption prediction parameter optimization method of building energy supply device |
| CN104091042A (en) * | 2014-06-15 | 2014-10-08 | 西南交通大学 | Operating data-based method for energy conservation diagnosis and energy conservation potential analysis on central air-conditioning system |
| CN104199961A (en) * | 2014-09-19 | 2014-12-10 | 北京建筑技术发展有限责任公司 | Data mining based public building energy consumption monitoring platform data processing method |
| CN104915562A (en) * | 2015-06-11 | 2015-09-16 | 上海新长宁低碳投资管理有限公司 | Building energy efficiency diagnosis method and system |
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