CN106845864A - A kind of electrical equipment sorter based on Energy efficiency evaluation - Google Patents
A kind of electrical equipment sorter based on Energy efficiency evaluation Download PDFInfo
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- CN106845864A CN106845864A CN201710100860.6A CN201710100860A CN106845864A CN 106845864 A CN106845864 A CN 106845864A CN 201710100860 A CN201710100860 A CN 201710100860A CN 106845864 A CN106845864 A CN 106845864A
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Abstract
A kind of electrical equipment sorter based on Energy efficiency evaluation, including:Actual achievement input block, the actual achievement value of the energy usage at the place of object-oriented requirementses side of the unit time section that it is configured as input to amount corresponding with the predetermined object time period, wherein each unit interval is obtained by the way that the object time period is divided into multiple;Classification estimation unit, it is configured as classifying the actual achievement value that the actual achievement input block is input into by the purposes of energy, and electrical equipment is classified according to energy service condition;Operation risk evaluation unit, the operation risk to each electrical equipment of having classified is evaluated.Beneficial effects of the present invention are:The estimated accuracy of the energy usage of each purposes can be improved in the case where each purposes that need not be directed to energy uses different measuring apparatus.
Description
Technical field
The invention is related to sorting technique field, and in particular to a kind of electrical equipment sorter based on Energy efficiency evaluation.
Background technology
Traditionally, in the shop of convenience store or supermarket etc., using the component ratio data according to each purposes come by
Purposes is classified to integral energy usage amount, realize the equipment of air-conditioning or refrigerator etc. energy it is efficient using reducing
And optimize the overall energy usage in shop.However, energy usage during due to for example freezing and heating is according to season
Significantly change, therefore in fact, the energy usage of each purposes is directed to each moon relative to the component ratio of integral energy usage amount
And change and it is not identical in 1 year.Thus, using the component ratio data according to each purposes come by purposes to integral energy
The simple analog that usage amount is classified, it is possible to the deviation of the energy usage relative to actual achievement value of estimated each purposes
To become relatively large according to month.
Current electrical equipment classification is still at an early stage, and lack the monitoring to electric operation risk, and monitoring method is grasped
The property made is poor.When carrying out actual monitored to electrical equipment, intelligent level is relatively low, and manual calculation difficulty is larger, and calculating process is complex.
Additionally, subjective weights have certain defect during monitoring, objectivity is inadequate.
The content of the invention
Regarding to the issue above, the present invention is intended to provide a kind of electrical equipment sorter based on Energy efficiency evaluation.
A kind of electrical equipment sorter based on Energy efficiency evaluation, including:Actual achievement input block, it is configured as input to and makes a reservation for
The object time period accordingly amount unit time section place of object-oriented requirementses side energy usage actual achievement value, wherein each institute
Unit interval is stated to be obtained by the way that the object time period is divided into multiple;
Classification estimation unit, it is configured as entering the actual achievement value that the actual achievement input block is input into by the purposes of energy
Row classification, and electrical equipment is classified according to energy service condition;
Operation risk evaluation unit, the operation risk to each electrical equipment of having classified is evaluated.
Beneficial effects of the present invention are:Can be carried in the case where each purposes that need not be directed to energy uses different measuring apparatus
The estimated accuracy of the energy usage of each purposes high.
Brief description of the drawings
Innovation and creation are described further using accompanying drawing, but embodiment in accompanying drawing does not constitute and the invention is appointed
What is limited, for one of ordinary skill in the art, on the premise of not paying creative work, can also be according to the following drawings
Obtain other accompanying drawings.
Fig. 1 is schematic structural view of the invention.
Reference:
Actual achievement input block 1, classification estimation unit 2, operation risk evaluation unit 3.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of electrical equipment sorter based on Energy efficiency evaluation of the present embodiment, including:Actual achievement input block, its
The energy for being configured as input to the place of object-oriented requirementses side of the unit time section of amount corresponding with the predetermined object time period is used
The actual achievement value of amount, wherein each unit interval is obtained by the way that the object time period is divided into multiple;
Classification estimation unit, it is configured as entering the actual achievement value that the actual achievement input block is input into by the purposes of energy
Row classification, and electrical equipment is classified according to energy service condition;
Operation risk evaluation unit, the operation risk to each electrical equipment of having classified is evaluated.
The present embodiment can improve each purposes in the case where each purposes that need not be directed to energy uses different measuring apparatus
The estimated accuracy of energy usage.
Preferably, the classification estimation unit includes:
First processing unit, it is configured with model instance to obtain the energy usage of the object time period entirety
Each described purposes component ratio, wherein in the model instance, by the purposes to each in the object time period
The energy usage of the unit interval is classified;
Second processing portion, it is configured as each purposes, with the component ratio that first processing unit is obtained
To be divided in portion the actual achievement value of the energy usage of the object time period entirety;
3rd processing unit, it is configured as each unit interval, with the corresponding uses of the model instance
The component ratio of each described unit interval of energy usage is come after being divided in portion the second processing portion proportional assignment
Each described purposes energy usage in remaining purposes in addition to a purposes energy usage;
Fourth process portion, it is configured as each unit interval, by by the actual achievement value from energy usage
In subtract the surplus that the energy usage after the 3rd processing unit proportional assignment obtained and be estimated as the unit interval
The energy usage of interior one purposes.
It is more accurate that this preferred embodiment energy-conservation is estimated.
Preferably, the operation risk evaluation unit includes Index Establishment module, weight determination module, data prediction mould
Block, sort module and overall merit module.
This preferred embodiment is evaluated electric operation risk.
Preferably, A, set up the Index Establishment module of electric operation Risk Evaluation Factors;
Assuming that electric operation Risk Evaluation Factors number be b, electrical equipment number to be evaluated be a, for any index j (j=1,
2 ..., b), electrical equipment x to be evaluatedi(i=1,2 ..., a) monitor value on j is xij, electrical equipment x to be evaluatediJth index
Evaluation of estimate is HXij。
B, the size of the information content included according to each desired value determine that each index is judging electrical equipment electric operation to be evaluated
The weight determination module of the weight in risk situation, specifically includes:A, to evaluation of estimate HXijIt is normalized, using following formula
Data are normalized:B, using normalization after
Data parameter j entropy, specially:C, the entropy according to index j,
Calculate the weight of jth index:In formula, EHjIt is the entropy of index j, LXjIt is the power of jth index
Weight.
C, the data preprocessing module processed data, specifically include:A, the evaluation index to electrical equipment to be evaluated are entered
Row normalized, using following formula to electrical equipment x to be evaluatediData be normalized: In formula, RCijIt is electrical equipment x to be evaluatediValue after each index normalization;B, to normalizing
Data after change are weighted, and obtain index weighting normalization value, specially:yij=LXjRCij。
D, the sort module for being divided to the affiliated kind of risk of electrical equipment to be evaluated according to risk indicator, so that it is determined that
Electrical equipment risk status to be evaluated;
E, for carrying out the overall merit module of overall merit, wind to electric operation risk situation by setting up risk index
Dangerous index is:In formula, dikIt is electrical equipment x to be evaluatediBelong to LkBeing subordinate to property, βk
It is according to LkThe weight that class risk status is formulated the overall influence degree of electrical equipment risk to be evaluated.
This preferred embodiment can eliminate the dry of artificial subjective factor by calculating the weight of each electric operation risk indicator
Disturb, make evaluation result more objective rationally;It is normalized by electric operation risk indicator data, by electric operation wind
Dangerous achievement data is limited in certain scope, convenient that subsequently electric operation risk indicator data are processed;To each electricity
Device operation risk index is weighted, and solves the problems, such as that different indexs are different to the influence degree of electric operation risk;
By setting up risk index, the risk situation of each electrical equipment to be evaluated can be comprehensively showed, additionally, judging according to appraisal result
The electric operation risk situation of electrical equipment to be evaluated, corresponding counter-measure is taken with this to electrical equipment to be evaluated.
Preferably, the sort module includes preliminary classification unit, classification amending unit and classification determining unit.
A, preliminary classification unit, for electrical equipment to be evaluated to be divided into C different class, for electrical equipment x to be evaluatedi, adopt
Preliminary classification value TN is asked for following formula:
If k (k=1,2 ..., C) be with the immediate integers of TN, then by electrical equipment x to be evaluatediIt is divided into LkClass, according to initial
Classification results obtain all kinds of preliminary classification centers;LkInitial classes center vector be:zk 0=(zk1 0,zk2 0,…,zkb 0)T, at the beginning of C is individual
The barycenter at Shi Lei centers is:
B, classification amending unit, amendment is entered for the preliminary classification to electrical equipment to be evaluated, is mainly included:A, to electricity to be evaluated
Device xiWith LkClass carries out similarity measurement, defines similarity function KRik:In formula,
DBj 0It is weight coefficient, DBj 0It is bigger, show index j for electrical equipment x to be evaluatediThe contribution of classification is bigger, DBj 0Using following formula meter
Calculate:KRikIt is smaller, represent that similitude is stronger;B, according to similarity function, define to be evaluated
Valency electrical equipment xiWith LkPerson in servitude's attribute function of class It is bigger,
Being subordinate to property of expression is stronger;According to attribute function is subordinate to, L is obtainedkThe revised class center z of classk 1: In formula, yi=(yi1,yi2,…,yib), each classification Xin Lei centers are calculated,Through
Successive ignition is crossed, final class center is exportedAnd export electrical equipment x to be evaluatediBelong to LkFinal the being subordinate to property of class
dik=d (xi∈Lk);
The being subordinate to property that C, classification determining unit are used for according to obtained by calculating determines the electric operation risk feelings of electrical equipment to be evaluated
Condition, is calculated using following formula:WhenThen determine to be evaluated
Valency electrical equipment xiBelong to LkClass, σ is confidence level.
The present embodiment is classified by the risk status to electrical equipment electric operation to be evaluated, determines that it belongs to various risks
The being subordinate to property of situation, can be converted into asking for relative certainty by the uncertain problem of electrical equipment electric operation risk to be evaluated
Topic;Be modified by preliminary classification situation, more accurate assortment can be obtained, it is ensured that classification results it is consistent
Property;The being subordinate to property for belonging to various risks situation by the electrical equipment to be evaluated being calculated determines the risk situation of electrical equipment to be evaluated.
Electrical equipment to be evaluated is evaluated and supervised using a kind of electrical equipment sorter based on Energy efficiency evaluation of the present invention,
And the electric operation situation to six months by a definite date is counted, generation is had the beneficial effect that shown in table:
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of scope is protected, although being explained to the present invention with reference to preferred embodiment, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (4)
1. a kind of electrical equipment sorter based on Energy efficiency evaluation, it is characterized in that, including:Actual achievement input block, it is configured as defeated
Enter the actual achievement value of the energy usage at the place of object-oriented requirementses side of the unit time section of amount corresponding with the predetermined object time period,
Wherein each unit interval is obtained by the way that the object time period is divided into multiple;
Classification estimation unit, it is configured as dividing the actual achievement value that the actual achievement input block is input into by the purposes of energy
Class, and electrical equipment is classified according to energy service condition;
Operation risk evaluation unit, the operation risk to each electrical equipment of having classified is evaluated.
2. a kind of electrical equipment sorter based on Energy efficiency evaluation according to claim 1, it is characterized in that, the classification is estimated
Unit includes:
First processing unit, it is configured with model instance to obtain each of object time period overall energy usage
The component ratio of the purposes, wherein in the model instance, by the purposes to each described in the object time period
The energy usage of unit interval is classified;
Second processing portion, it is configured as each purposes, the component ratio obtained with first processing unit come by
The actual achievement value of the energy usage of object time period entirety described in pro rate;
3rd processing unit, it is configured as each unit interval, with the energy of the corresponding uses of the model instance
The component ratio of each described unit interval of usage amount is each after the second processing portion proportional assignment to be divided in portion
The energy usage of remaining purposes in addition to a purposes in the energy usage of the purposes;
Fourth process portion, it is configured as, for each unit interval, to subtract by from the actual achievement value of energy usage
The surplus that energy usage after going the 3rd processing unit to be divided in portion is obtained is estimated as in the unit interval
The energy usage of one purposes.
3. a kind of electrical equipment sorter based on Energy efficiency evaluation according to claim 2, it is characterized in that, the operation risk
Evaluation unit includes Index Establishment module, and the Index Establishment module is used to set up electric operation Risk Evaluation Factors:
Assuming that electric operation Risk Evaluation Factors number be b, electrical equipment number to be evaluated be a, for any index j (j=1,
2 ..., b), electrical equipment x to be evaluatedi(i=1,2 ..., a) monitor value on j is xij, electrical equipment x to be evaluatediJth index
Evaluation of estimate is HXij。
4. a kind of electrical equipment sorter based on Energy efficiency evaluation according to claim 3, it is characterized in that, the operation risk
Evaluation unit also includes weight determination module, and the size of the information content that the weight determination module is included according to each desired value is true
Fixed weight of each index in electrical equipment electric operation risk situation to be evaluated is judged, specifically includes:A, to evaluation of estimate HXijReturned
One change is processed, and data are normalized using following formula:
B, the entropy using the data parameter j after normalization, specially:C, root
According to the entropy of index j, the weight of jth index is calculated:In formula, EHjIt is the entropy of index j, LXjFor
The weight of jth index.
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Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102902882A (en) * | 2012-09-14 | 2013-01-30 | 安徽南瑞继远软件有限公司 | Method for evaluating operation quality of information systems |
CN103917997A (en) * | 2011-09-15 | 2014-07-09 | 松下电器产业株式会社 | Energy conservation evaluation device, energy conservation evaluation method, server device, and program |
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2017
- 2017-02-23 CN CN201710100860.6A patent/CN106845864A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103917997A (en) * | 2011-09-15 | 2014-07-09 | 松下电器产业株式会社 | Energy conservation evaluation device, energy conservation evaluation method, server device, and program |
CN102902882A (en) * | 2012-09-14 | 2013-01-30 | 安徽南瑞继远软件有限公司 | Method for evaluating operation quality of information systems |
Non-Patent Citations (1)
Title |
---|
范华等: "基于信息熵对滑坡系统的稳态分析", 《地质勘探》 * |
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Application publication date: 20170613 |