CN107274063A - A kind of ammeter energy consumption assessment system and method - Google Patents
A kind of ammeter energy consumption assessment system and method Download PDFInfo
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- CN107274063A CN107274063A CN201710337273.9A CN201710337273A CN107274063A CN 107274063 A CN107274063 A CN 107274063A CN 201710337273 A CN201710337273 A CN 201710337273A CN 107274063 A CN107274063 A CN 107274063A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/06—Electricity, gas or water supply
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The present invention relates to a kind of ammeter energy consumption assessment system and method.Solving manual metering in the prior art, to there is cycle length, result delayed, and general ammeter can only obtain total electricity, it is impossible to learns each electric appliance situation, not to the energy-saving analysis of each electric appliance the problem of.System includes ammeter end, cloud server terminal and user terminal, and ammeter end includes collector unit, ammeter unit, and temperature detecting unit, humidity detection unit, Pedestrian flow detection unit, and cloud server terminal includes computing unit, memory cell.Method calculates the assessed value of each day energy consumption using grey correlation analysis, and energy-saving analysis is carried out according to assessed value.The present invention, which solves general electric meter system, to carry out simple displaying to power consumption values so that user can know the specific energy consumption of each electrical equipment in detail；Energy-saving analysis can be carried out to each day electricity consumption situation, user is understood electricity consumption situation, user can adjust electricity consumption time or power consumption in time according to energy-saving electricity situation, reach more preferable energy-saving effect.
Description
Technical field
The present invention relates to a kind of technical field of energy management, more particularly, to a kind of ammeter energy consumption assessment system and method.
Background technology
With the continuous improvement that country is required building energy conservation consumption reduction, power consumption has become what enterprise increasingly paid close attention to
Emphasis.In block supply system, by grasping the operation conditions of electric power system comprehensively, the operation of electric power system can be both improved
Reliability, and the energy monitor to important load can be strengthened, while grasping the standard of electric energy metrical at times.Current many regions
Electric energy management has various problems perhaps, and utilization rate of equipment and installations is not high, ageing equipment, need update, it is impossible to grasp current electricity consumption
Present situation, it is impossible to the problems such as quantifying industry energy conservation index.
The management for electric energy typically all uses artificial periodically meter reading method for a long time, is copied due to artificial data and takes the cycle
It is longer, it is impossible to obtain the data of all electric loads of synchronization, cause to use the spatial and temporal distributions credible result degree of power consumption not high, and
And the calculating of meter reading data statistics and power consumption rate is artificially carried out, the report generation cycle is long, and statistical result is delayed, it is impossible to carried for people
For effective electricity consumption reference data.Also there are some to obtain ammeter electricity online using networked forms now in addition, but typically all only
A total power consumption can be obtained, and can not deeply learn each electric appliance situation, less in the presence of the energy-conservation to each electric electricity consumption
Analysis, user can only simply know total electricity consumption, can not meet the demand of user, and user can not be according to these information to electricity consumption
Situation is adjusted to reach the effect of energy-conservation.
The content of the invention
The present invention mainly solves manual metering in the prior art, and to there is cycle length, result delayed, and general ammeter is only
Total electricity can be obtained, it is impossible to learn each electric appliance situation, not to the energy-saving analysis of each electric appliance the problem of there is provided one
Plant ammeter energy consumption assessment system and method.
The above-mentioned technical problem of the present invention is mainly what is be addressed by following technical proposals：A kind of ammeter energy consumption assessment
System, including ammeter end, cloud server terminal and user terminal, ammeter end include collector unit, are arranged on the tested each energy consumption node in place
Ammeter unit, and it is arranged on temperature detecting unit, humidity detection unit, the Pedestrian flow detection unit, each ammeter list at tested place
Member, temperature detecting unit, humidity detection unit, Pedestrian flow detection unit are connected with collector unit respectively, and cloud server terminal includes meter
Unit, memory cell are calculated, memory cell is connected with computing unit, and collector unit, user terminal pass through network and computing unit respectively
It is connected.Ammeter unit detects energy consumption node power consumption hourly in the present invention, and the tested place of temperature detecting unit detection is per hour
Temperature value, the tested place's humidity value hourly of humidity detection unit detection, the tested place of Pedestrian flow detection unit detection is per hour
Interior flow of the people, collector unit user receives ammeter unit, temperature detecting unit, humidity detection unit, Pedestrian flow detection unit
Data, be then sent to the computing unit of cloud server terminal.Computing unit is according to the data received to the energy consumption on the day of being tested place
Degree is calculated and same day energy consumption degree is estimated according to historical data.User terminal is looked into tested place's energy input and assessment
See.The present invention, which solves general electric meter system, to carry out simple displaying to power consumption values, it is impossible to meet asking for user's use demand
Topic, the invention enables the Energy-saving Situation of the specific power consumption values that user can know each electrical equipment in detail, and current power, user
Electricity consumption time or power consumption can be adjusted in time according to energy-saving electricity situation, reach energy-saving effect.
As a kind of preferred scheme of such scheme, being tested each energy consumption node in place includes lighting energy consumption node, air conditioning energy consumption
Node, and other electric equipments other energy consumption nodes.
A kind of ammeter energy consumption evaluation method, comprises the following steps：
S1. energy consumption data and energy consumption factor data in each energy consumption node each period in setting number of days are obtained；
S2. the data to acquisition carry out integrality correction；
S3. the degree of association of the energy consumption and energy consumption factor of each energy consumption node in each day is calculated
S4. the Evaluation on Energy Saving coefficient of each energy consumption node energy consumption in each day is calculated using grey correlation analysis according to the degree of association；
S5. the weighted value of each energy consumption node energy consumption is determined；
S6. according to Evaluation on Energy Saving coefficient and each energy consumption node energy consumption weighted value, each day is calculated using Grey Relational Model
The Evaluation on Energy Saving value of total energy consumption；
S7. the Power Saving Class in each day is judged according to Evaluation on Energy Saving value.
The invention enables the energy-conservation feelings of the specific power consumption values that user can know each electrical equipment in detail, and current power
Condition, user can adjust electricity consumption time or power consumption in time according to energy-saving electricity situation, reach energy-saving effect.
As a kind of preferred scheme of such scheme, the process corrected in step S2 includes：
S21. each energy consumption node energy consumption data to each period in each day are traveled through one by one；
If mistake occurs in the energy consumption data for S22. detecting some energy consumption node time section, the energy consumption node history is obtained
The energy consumption data of corresponding period, using their average value as current energy consumption node time section power consumption values, into lower step；
S23. continue to travel through, repeat step S22, until traversal is finished.
As a kind of preferred scheme of such scheme, the calculating process of the degree of association includes in step S3：
S31. energy consumption node energy consumption hourly and energy consumption factor in each day are obtained：
Lighting energy consumption Zm=[z1,z2,…,zj,],
Air conditioning energy consumption Km=[k1,k2,…,kj,],
Other energy consumptions Qm=[q1,q2,…,qj,],
Temperature factor Tm=[t1,t2,…,tj,],
Humidity factor Wm=[w1,w2,…,wj,],
Flow of the people factor Cm=[c1,c2,…,cj,],
Wherein m for setting number of days, m=1,2 ..., i, j be one day in j-th hour, j=1,2 ..., 24, correspondence
The power consumption values or influence factor value of j-th hour；Energy hourly in each day daily in setting number of days is obtained in this programme
Node energy consumption and energy consumption factor are consumed, whom i carries out as needed determines, and this programme is used 10 days.
S32. according to energy consumption node energy consumption hourly in each day and energy consumption factor calculate each energy consumption node energy consumption with
The degree of association of each influence factor：
The degree of association of lighting energy consumption and temperature factor
The degree of association of lighting energy consumption and humidity factor
Lighting energy consumption and the degree of association of flow of the people factor
The degree of association of air conditioning energy consumption and temperature factor
The degree of association of air conditioning energy consumption and humidity factor
Air conditioning energy consumption and the degree of association of flow of the people factor
The degree of association of other energy consumptions and temperature factor
The degree of association of other energy consumptions and humidity factor
The degree of association of other energy consumptions and flow of the people factor
S33. lighting energy consumption and the degree of association of energy consumption factor are obtained
Air conditioning energy consumption and the degree of association of energy consumption factor
The degree of association of other energy consumptions and energy consumption factor
S34. each energy consumption node energy consumption in each day and the degree of association of energy consumption factor are calculated, degree of association matrix is obtained
As a kind of preferred scheme of such scheme, the Evaluation on Energy Saving coefficient of each energy consumption node energy consumption in each day in step S4
Calculating process includes：
S41. the optimal relational degree composition R-matrix in each day is chosen
Using vectorial normalization method to R-matrixDegree of association matrix X*Be standardized, use formula for：
Obtain normative references matrix X0, standardization degree of association matrix X；
S42. reference sequences x is set up0, it is designated as：
x0(k)=[x0(1),…,x0(k)], k=1,2,3,
Set up comparative sequences xm, it is designated as：
xm(k)=[xm(1),…,xm], (k) m=1,2 ..., i；
S43. the absolute difference of reference sequences and comparative sequences is obtained, difference includes maximum and minimum value, then it represents that be：
Δ max=maxm maxk|x0(k)-xm(k)|
Δ min=minm mink|x0(k)-xm(k)|；
S44. the Evaluation on Energy Saving coefficient that k-th of energy consumption node of the m days is tried to achieve according to grey correlation analysis is：
Wherein ρ is resolution ratio；
Metewand matrix E is obtained,
E=[ξm(k)]m×k。
As a kind of preferred scheme of such scheme, the calculating process bag of the weighted value of each energy consumption node energy consumption in step 5
Include：
S51. according to each energy consumption node energy consumption in each day and the degree of association matrix X of energy consumption factor*, to wherein each energy consumption
Node energy consumption is standardized, standardization institute all divided by under the influence factor for daily each energy consumption node degree of association
There is the degree of association sum in day, i.e.,：
Degree of association matrix after being standardized
S52. the entropy of degree of association numerical value is after being standardized：
Wherein SkCorrespondence k order is respectively the entropy of association angle value after illumination, air-conditioning, other energy consumption standards, a=-
(lni)-1,
S53. whenWhen, orderObtain the entropy weight of each node energy consumption：
ωkFor correspondence k order be respectively illumination, air-conditioning, other energy consumptions entropy weight, finally obtain energy consumption node energy consumption
Weight W=[ωk]n×1.This programme determines the weight of each energy consumption node energy consumption using entropy assessment.
As a kind of preferred scheme of such scheme, the calculating process bag of the Evaluation on Energy Saving value of each day total energy consumption in step 6
Include：
S61. metewand matrix E=[ξ are obtainedm(k)]m×kWith the weight W=[ω of energy consumption node energy consumptionk]n×1；
S62. according to Grey Relational Model P=E × W, the assessed value P=[p for obtaining each day energy consumption are calculatedm], m=1,
2 ..., i, wherein
As a kind of preferred scheme of such scheme, the Power Saving Class process in each day is judged in step 7 to be included：
S71. optimal value P is chosen from the assessed value of each day energy consumptionmax；
S72. according to optimal value PmaxHundred-mark system conversion is carried out to other each day energy consumption assessment values, obtain energy-conservation assesses fraction
Fm, conversion formula is：
Therefore, the method have the advantages that：Simple displaying can only be carried out to power consumption values by solving general electric meter system, it is impossible to be met
The problem of user's use demand so that user can know the specific power consumption values of each electrical equipment in detail；Can be to each day electricity consumption situation
Carry out energy-saving analysis so that user understands electricity consumption situation, and user can adjust electricity consumption time or use in time according to energy-saving electricity situation
Electricity, reaches more preferable energy-saving effect.
Brief description of the drawings
Accompanying drawing 1 is a kind of structural frames diagram of the present invention
1- ammeters end 2- cloud server terminal 3- user terminal 4- ammeter unit 5- collector unit 6- temperature detecting units 7-
Humidity detection unit 8- Pedestrian flow detection unit 9- computing unit 10- memory cell.
Embodiment
Below by embodiment, and with reference to accompanying drawing, technical scheme is described in further detail.
Embodiment：
A kind of ammeter energy consumption assessment system of the present embodiment, as shown in figure 1, including ammeter end 1, cloud server terminal 2 and user terminal
3.Ammeter end includes collector unit 5, is arranged on the ammeter unit 4 of the tested each energy consumption node in place, and is arranged on the temperature at tested place
Spend detection unit 6, humidity detection unit 7, Pedestrian flow detection unit 8, each ammeter unit, temperature detecting unit, Humidity Detection list
Member, Pedestrian flow detection unit are connected with collector unit respectively, and cloud server terminal includes computing unit 9, memory cell 10, memory cell
It is connected with computing unit, collector unit, user terminal are connected by network with computing unit respectively.The tested each energy consumption node in place includes
Lighting energy consumption node, air conditioning energy consumption node, and other electric equipments other energy consumption nodes.
A kind of ammeter energy consumption evaluation method, comprises the following steps：
S1. energy consumption data and energy consumption factor data in each energy consumption node each period in setting number of days are obtained；
S2. the data to acquisition carry out integrality correction, and process includes：
S21. each energy consumption node energy consumption data to each period in each day are traveled through one by one；
If mistake occurs in the energy consumption data for S22. detecting some energy consumption node time section, the energy consumption node history is obtained
The energy consumption data of corresponding period, using their average value as current energy consumption node time section power consumption values, into lower step；
S23. continue to travel through, repeat step S22, until traversal is finished.
S3. the degree of association of the energy consumption and energy consumption factor of each energy consumption node in each day is calculated；Calculating process includes：
S31. energy consumption node energy consumption hourly and energy consumption factor in each day are obtained：
Lighting energy consumption Zm=[z1,z2,…,zj,],
Air conditioning energy consumption Km=[k1,k2,…,kj,],
Other energy consumptions Qm=[q1,q2,…,qj,],
Temperature factor Tm=[t1,t2,…,tj,],
Humidity factor Wm=[w1,w2,…,wj,],
Flow of the people factor Cm=[c1,c2,…,cj,],
Wherein m is the number of days of setting, m=1,2 ..., i, in the present embodiment exemplified by 10 days, then i=10, and j is in one day
J-th hour, j=1,2 ..., 24, correspond to the power consumption values or influence factor value of j-th hour.
S32. according to energy consumption node energy consumption hourly in each day and energy consumption factor calculate each energy consumption node energy consumption with
The degree of association of each influence factor：
The degree of association of lighting energy consumption and temperature factor
The degree of association of lighting energy consumption and humidity factor
Lighting energy consumption and the degree of association of flow of the people factor
The degree of association of air conditioning energy consumption and temperature factor
The degree of association of air conditioning energy consumption and humidity factor
Air conditioning energy consumption and the degree of association of flow of the people factor
The degree of association of other energy consumptions and temperature factor
The degree of association of other energy consumptions and humidity factor
The degree of association of other energy consumptions and flow of the people factor
S33. lighting energy consumption and the degree of association of energy consumption factor are obtained
Air conditioning energy consumption and the degree of association of energy consumption factor
The degree of association of other energy consumptions and energy consumption factor
S34. each energy consumption node energy consumption in each day and the degree of association of energy consumption factor are calculated, degree of association matrix is obtainedExemplified by 10 days, according to energy consumption node energy per hour in 10 days
Consumption and influence factor, degree of association matrix
S4. the Evaluation on Energy Saving coefficient of each energy consumption node energy consumption in each day is calculated using grey correlation analysis according to the degree of association；
Calculating process includes：
S41. the optimal relational degree composition R-matrix in each day is chosenHere numerical value in each energy consumption node is chosen maximum
Value as the energy consumption node optimal relational degree.
Using vectorial normalization method to R-matrixDegree of association matrix X*Be standardized, use formula for：
Obtain normative references matrix X0, standardization degree of association matrix X；xm(k) it is the mark of k-th of energy consumption node of the m days
Power consumption values after standardization, lighting energy consumption node, air conditioning energy consumption node, other energy consumption nodes are represented according to k order respectively.
S42. reference sequences x is set up0, it is designated as：
x0(k)=[x0(1),…,x0(k)], k=1,2,3,
Set up comparative sequences xm, it is designated as：
xm(k)=[xm(1),…,xm], (k) m=1,2 ..., i；
S43. the absolute difference of reference sequences and comparative sequences is obtained, difference includes maximum and minimum value, then it represents that be：
Δ max=maxm maxk|x0(k)-xm(k)|
Δ min=minm mink|x0(k)-xm(k)|；
S44. the Evaluation on Energy Saving coefficient that k-th of energy consumption node of the m days is tried to achieve according to grey correlation analysis is：
Wherein ρ is resolution ratio, and ρ is 0.1~0.8 according to actual conditions span, and ρ takes 0.5, m=in the present embodiment
1,2,…,i；
Obtain metewand matrix E=[ξm(k)]m×k, it is：
S5. the weighted value of each energy consumption node energy consumption is determined；Calculating process includes：
S51. according to each energy consumption node energy consumption in each day and the degree of association matrix X of energy consumption factor*, to wherein each energy consumption
Node energy consumption is standardized, standardization institute all divided by under the influence factor for daily each energy consumption node degree of association
There is the degree of association sum in day, i.e.,：
Degree of association matrix after being standardized
Exemplified by 10 days i.e.：
S52. the entropy of degree of association numerical value is after being standardized：
Wherein SkCorrespondence k order is respectively the entropy of association angle value after illumination, air-conditioning, other energy consumption standards, a=-
(lni)-1,
S53. whenWhen, orderObtain the entropy weight of each node energy consumption：
ωkFor correspondence k order be respectively illumination, air-conditioning, other energy consumptions entropy weight, finally obtain energy consumption node energy consumption
Weight
S6. according to Evaluation on Energy Saving coefficient and each energy consumption node energy consumption weighted value, each day is calculated using Grey Relational Model
The Evaluation on Energy Saving value of total energy consumption；Calculating process includes：
S61. metewand matrix is obtained
With the weight W=[ω of energy consumption node energy consumptionk]n×1；
S62. according to Grey Relational Model P=E × W, the assessed value P=[p for obtaining each day energy consumption are calculatedm], m=1,
2 ..., i, wherein
S7. the Power Saving Class in each day is judged according to Evaluation on Energy Saving value.Process includes：
S71. optimal value P is chosen from the assessed value of each day energy consumptionmax；
S72. according to optimal value PmaxHundred-mark system conversion is carried out to other each day energy consumption assessment values, obtain energy-conservation assesses fraction
Fm, conversion formula is：
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology neck belonging to of the invention
The technical staff in domain can be made various modifications or supplement to described specific embodiment or be replaced using similar mode
Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.
Although more having used the terms such as ammeter end, cloud server terminal, user terminal, ammeter unit, collector unit herein,
It is not precluded from the possibility using other terms.It is used for the purpose of more easily describing and explaining the present invention's using these terms
Essence；Any additional limitation is construed as all to disagree with spirit of the present invention.
Claims (9)
1. a kind of ammeter energy consumption assessment system, it is characterised in that：Including ammeter end, cloud server terminal and user terminal, ammeter end includes
Collector unit, the ammeter unit for being arranged on the tested each energy consumption node in place, and it is arranged on the temperature detecting unit at tested place, humidity
Detection unit, Pedestrian flow detection unit, each ammeter unit, temperature detecting unit, humidity detection unit, Pedestrian flow detection unit point
It is not connected with collector unit, cloud server terminal includes computing unit, memory cell, memory cell is connected with computing unit, collects single
Member, user terminal are connected by network with computing unit respectively.
2. a kind of ammeter energy consumption assessment system according to claim 1, it is characterized in that the tested each energy consumption node in place includes shining
Bright energy consumption node, air conditioning energy consumption node, and other electric equipments other energy consumption nodes.
3. a kind of ammeter energy consumption evaluation method, using the system in claim 1, it is characterized in that comprising the following steps：
S1. energy consumption data and energy consumption factor data in each energy consumption node each period in setting number of days are obtained；
S2. the data to acquisition carry out integrality correction；
S3. the degree of association of the energy consumption and energy consumption factor of each energy consumption node in each day is calculated；
S4. the Evaluation on Energy Saving coefficient of each energy consumption node energy consumption in each day is calculated using grey correlation analysis according to the degree of association；
S5. the weighted value of each energy consumption node energy consumption is determined；
S6. according to Evaluation on Energy Saving coefficient and each energy consumption node energy consumption weighted value, each day total energy is calculated using Grey Relational Model
The Evaluation on Energy Saving value of consumption；
S7. the Power Saving Class in each day is judged according to Evaluation on Energy Saving value.
4. a kind of ammeter energy consumption evaluation method according to claim 3, it is characterized in that the process corrected in step S2 includes：
S21. each energy consumption node energy consumption data to each period in each day are traveled through one by one；
If mistake occurs in the energy consumption data for S22. detecting some energy consumption node time section, the energy consumption node history is obtained corresponding
The energy consumption data of period, using their average value as current energy consumption node time section power consumption values, into lower step；
S23. continue to travel through, repeat step S22, until traversal is finished.
5. a kind of ammeter energy consumption evaluation method according to claim 3, it is characterized in that in step S3 the degree of association calculating
Journey includes：
S31. energy consumption node energy consumption hourly and energy consumption factor in each day are obtained：
Lighting energy consumption Zm=[z1,z2,…,zj,],
Air conditioning energy consumption Km=[k1,k2,…,kj,],
Other energy consumptions Qm=[q1,q2,…,qj,],
Temperature factor Tm=[t1,t2,…,tj,],
Humidity factor Wm=[w1,w2,…,wj,],
Flow of the people factor Cm=[c1,c2,…,cj,],
Wherein m for setting number of days, m=1,2 ..., i, j be one day in j-th hour, j=1,2 ..., 24, correspond to jth
The power consumption values or influence factor value of individual hour；
S32. each energy consumption node energy consumption and each shadow are calculated according to energy consumption node energy consumption hourly in each day and energy consumption factor
The degree of association of the factor of sound：
The degree of association of lighting energy consumption and temperature factor
The degree of association of lighting energy consumption and humidity factor
Lighting energy consumption and the degree of association of flow of the people factor
The degree of association of air conditioning energy consumption and temperature factor
The degree of association of air conditioning energy consumption and humidity factor
Air conditioning energy consumption and the degree of association of flow of the people factor
The degree of association of other energy consumptions and temperature factor
The degree of association of other energy consumptions and humidity factor
The degree of association of other energy consumptions and flow of the people factor
S33. lighting energy consumption and the degree of association of energy consumption factor are obtained
Air conditioning energy consumption and the degree of association of energy consumption factor
The degree of association of other energy consumptions and energy consumption factor
S34. each energy consumption node energy consumption in each day and the degree of association of energy consumption factor are calculated, degree of association matrix is obtained
6. a kind of ammeter energy consumption evaluation method according to claim 5, it is characterized in that in step S4 each day each energy consumption section
The Evaluation on Energy Saving coefficient calculating process of point energy consumption includes：
S41. the optimal relational degree composition R-matrix in each day is chosen
Using vectorial normalization method to R-matrixDegree of association matrix X*Be standardized, use formula for：
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Obtain normative references matrix X0, standardization degree of association matrix X；
S42. reference sequences x is set up0, it is designated as：
x0(k)=[x0(1),…,x0(k)], k=1,2,3,
Set up comparative sequences xm, it is designated as：
xm(k)=[xm(1),…,xm], (k) m=1,2 ..., i；
S43. the absolute difference of reference sequences and comparative sequences is obtained, difference includes maximum and minimum value, then it represents that be：
Δ max=maxmmaxk|x0(k)-xm(k)|
Δ min=minmmink|x0(k)-xm(k)|；
S44. the Evaluation on Energy Saving coefficient that k-th of energy consumption node of the m days is tried to achieve according to grey correlation analysis is：
<mrow>
<msub>
<mi>&xi;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<munder>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mi>m</mi>
</munder>
<munder>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mi>k</mi>
</munder>
<mo>|</mo>
<msub>
<mi>x</mi>
<mn>0</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
<mo>+</mo>
<mi>&rho;</mi>
<munder>
<mi>max</mi>
<mi>m</mi>
</munder>
<munder>
<mi>max</mi>
<mi>k</mi>
</munder>
<mo>|</mo>
<msub>
<mi>x</mi>
<mn>0</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
</mrow>
<mrow>
<mo>|</mo>
<msub>
<mi>x</mi>
<mn>0</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
<mo>+</mo>
<mi>&rho;</mi>
<munder>
<mi>max</mi>
<mi>m</mi>
</munder>
<munder>
<mi>max</mi>
<mi>k</mi>
</munder>
<mo>|</mo>
<msub>
<mi>x</mi>
<mn>0</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
</mrow>
</mfrac>
</mrow>
Wherein ρ is resolution ratio；
Metewand matrix E is obtained,
E=[ξm(k)]m×k。
7. a kind of ammeter energy consumption evaluation method according to claim 5 or 6, it is characterized in that each energy consumption node energy in step 5
The calculating process of the weighted value of consumption includes：
S51. according to each energy consumption node energy consumption in each day and the degree of association matrix X of energy consumption factor*, to wherein each energy consumption node
Energy consumption is standardized, and the standardization is daily each energy consumption node degree of association all days all divided by under the influence factor
Degree of association sum, i.e.,：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msup>
<msub>
<mi>r</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mfrac>
<msub>
<mi>r</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mrow>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>i</mi>
</msubsup>
<msub>
<mi>r</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Degree of association matrix after being standardized
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msup>
<mi>X</mi>
<mrow>
<mo>*</mo>
<mo>&prime;</mo>
</mrow>
</msup>
<mo>=</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<msup>
<msub>
<mi>r</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mo>&prime;</mo>
</msup>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<mi>m</mi>
<mo>&times;</mo>
<mi>k</mi>
</mrow>
</msub>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>i</mi>
<mo>;</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>;</mo>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
S52. the entropy of degree of association numerical value is after being standardized：
<mfenced open = "" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<msubsup>
<mi>a&Sigma;</mi>
<mrow>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>i</mi>
</msubsup>
<msub>
<mi>b</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mo>&CenterDot;</mo>
<mi>ln</mi>
<mi> </mi>
<msub>
<mi>b</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mo>,</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Wherein SkCorrespondence k order is respectively the entropy of association angle value after illumination, air-conditioning, other energy consumption standards, a=- (lni)-1,
S53. whenWhen, orderObtain the entropy weight of each node energy consumption：
<mrow>
<msub>
<mi>&omega;</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mfrac>
<mrow>
<mn>1</mn>
<mo>-</mo>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
</mrow>
<mrow>
<mi>k</mi>
<mo>-</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>3</mn>
</msubsup>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
<mo><</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mn>0</mn>
<mo>,</mo>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>,</mo>
</mrow>
ωkFor correspondence k order be respectively illumination, air-conditioning, other energy consumptions entropy weight, finally obtain the weight W of energy consumption node energy consumption
=[ωk]n×1。
8. a kind of ammeter energy consumption evaluation method according to claim 6, it is characterized in that in step 6 each day total energy consumption energy-conservation
The calculating process of assessed value includes：
S61. metewand matrix E=[ξ are obtainedm(k)]m×kWith the weight W=[ω of energy consumption node energy consumptionk]n×1；
S62. according to Grey Relational Model P=E × W, the assessed value P=[p for obtaining each day energy consumption are calculatedm], m=1,2 ..., i, its
In
<mrow>
<msub>
<mi>p</mi>
<mi>m</mi>
</msub>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mn>3</mn>
</msubsup>
<msub>
<mi>&omega;</mi>
<mi>k</mi>
</msub>
<mo>&times;</mo>
<msub>
<mi>&xi;</mi>
<mi>m</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>.</mo>
</mrow>
9. a kind of ammeter energy consumption evaluation method according to claim 8, it is characterized in that the energy-conservation in each day is judged in step 7 etc.
Level process includes：
S71. optimal value P is chosen from the assessed value of each day energy consumptionmax；
S72. according to optimal value PmaxHundred-mark system conversion is carried out to other each day energy consumption assessment values, obtain energy-conservation assesses fraction Fm, turn
Changing formula is：
<mrow>
<msub>
<mi>F</mi>
<mi>m</mi>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>p</mi>
<mi>m</mi>
</msub>
<msub>
<mi>P</mi>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
</mfrac>
<mo>&times;</mo>
<mn>100.</mn>
</mrow>
4
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| CN110545532A (en) * | 2019-09-25 | 2019-12-06 | 武汉誉德节能数据服务有限公司 | Energy consumption data acquisition system |
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