CN107229031A - A kind of ammeter dynamic evaluation system and method analyzed based on paddy electricity - Google Patents
A kind of ammeter dynamic evaluation system and method analyzed based on paddy electricity Download PDFInfo
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- CN107229031A CN107229031A CN201710370807.8A CN201710370807A CN107229031A CN 107229031 A CN107229031 A CN 107229031A CN 201710370807 A CN201710370807 A CN 201710370807A CN 107229031 A CN107229031 A CN 107229031A
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Abstract
The present invention relates to a kind of ammeter dynamic evaluation system and method analyzed based on paddy electricity.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 cloud server terminal includes computing unit, memory cell, identity authenticating unit.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, dynamically commented more particularly, to a kind of ammeter analyzed based on paddy electricity
Estimate 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 the ammeter dynamic evaluation system and method analyzed based on paddy electricity.
The above-mentioned technical problem of the present invention is mainly what is be addressed by following technical proposals：One kind is based on paddy electricity analysis
Ammeter dynamic evaluation system, including ammeter end, cloud server terminal and user terminal, ammeter end include collector unit, be arranged on it is tested
Locate the ammeter unit of each energy consumption node, each ammeter unit is connected with collector unit respectively, cloud server terminal includes computing unit, storage
Unit, identity authenticating unit, memory cell are connected with computing unit, identity authenticating unit respectively with memory cell, computing unit
Be connected, collector unit is connected by network with computing unit, user terminal by network respectively with identity authenticating unit, computing unit
It is connected.The daily power consumption of ammeter unit detection energy consumption node in the present invention, and the power consumption during paddy electricity.Collector unit
User receives the data of ammeter unit, is then sent to the computing unit of cloud server terminal.Computing unit is according to the data pair received
Energy consumption degree on the day of tested place is calculated and same day energy consumption degree is estimated according to historical data, identity authenticating unit to
Family end carries out authentication, is verified rear computing unit reception energy consumption corresponding with user terminal, influence factor data and is counted
Calculate, then feed back to user terminal.User terminal is checked to tested place's energy input and assessment.User terminal to tested place's energy input and
Assessment is checked.The present invention, which solves general electric meter system, to carry out simple displaying to power consumption values, it is impossible to which meeting user makes
The problem of using demand, the invention enables the section of the specific power consumption values that user can know each electrical equipment in detail, and current power
Energy situation, 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, 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 dynamic assessment method analyzed based on paddy electricity, is comprised the following steps：
S1. authentication is carried out to user terminal according to user terminal application；
S2. it is verified rear computing unit and obtains the energy consumption data of each energy consumption node and each energy consumption node paddy in setting number of days
Electric phase energy consumption data；
S3. the relating value of the energy consumption and paddy electricity phase energy consumption 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 of authentication includes in step S1：
S11. user terminal sends to identity authenticating unit and checks application with IP；
S12. identity authenticating unit searches for the user profile of the IP out of memory cell, obtains the cell-phone number of the IP user
Code, checking information is sent to the phone number；
S13. identity authenticating unit receives the checking information that user terminal is sent, if checking information is inconsistent, terminates, if
Checking information unanimously then enters lower step；
S14. the corresponding ammeter end data of the user is transferred in memory cell according to the user profile of the IP.
As a kind of preferred scheme of such scheme, the calculating process of relating value includes in step S3：
S31. energy consumption matrix is set up according to each energy consumption node energy consumption data in each day：
Wherein m is the number of days of setting, and k represents k-th of energy consumption node, correspondence k order be respectively illumination, air-conditioning, other
Energy consumption node；
S32. obtain each energy consumption node paddy electricity phase energy consumption data in each day and set up paddy electricity energy consumption matrix：
S33. each energy consumption node energy consumption in each day and the relating value of each energy consumption node paddy electricity phase energy consumption are calculated, relating value is obtained
Matrix
Wherein
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. value matrix X is associated according to each energy consumption node energy consumption and each energy consumption node paddy electricity phase energy consumption*, to wherein each energy
Consumption node relating value is standardized：
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=[ω1…ωk].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 is obtained
E=[ξm(k)]m×k
With the weight W=[ω of energy consumption node energy consumption1…ωk]；
S62. according to Grey Relational Model P=4 × 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- computing units 7- is stored
Unit 8- identity authenticating units.
Embodiment
Below by embodiment, and with reference to accompanying drawing, technical scheme is described in further detail.
Embodiment：
A kind of ammeter dynamic evaluation system analyzed based on paddy electricity of the present embodiment, as shown in figure 1, being taken including ammeter end 1, cloud
Business end 2 and user terminal 3, ammeter end include collector unit 5, are arranged on the ammeter unit 4 of the tested each energy consumption node in place, each ammeter list
Member be connected respectively with collector unit, cloud server terminal include computing unit 6, memory cell 7, identity authenticating unit 8, memory cell and
Computing unit is connected, and identity authenticating unit is connected with memory cell, computing unit respectively, and collector unit is single with calculating by network
Member is connected, and user terminal is connected with identity authenticating unit, computing unit respectively by network.The tested each energy consumption node in place includes illumination
Energy consumption node, air conditioning energy consumption node, and other electric equipments other energy consumption nodes.
A kind of ammeter dynamic assessment method analyzed based on paddy electricity, is comprised the following steps：
S1. authentication is carried out to user terminal according to user terminal application；The process of checking includes：
S11. user terminal sends to identity authenticating unit and checks application with IP；
S12. identity authenticating unit searches for the user profile of the IP out of memory cell, obtains the cell-phone number of the IP user
Code, checking information is sent to the phone number；
S13. identity authenticating unit receives the checking information that user terminal is sent, if checking information is inconsistent, terminates, if
Checking information unanimously then enters lower step；
S14. the corresponding ammeter end data of the user is transferred in memory cell according to the user profile of the IP.
S2. it is verified rear computing unit and obtains the energy consumption data of each energy consumption node and each energy consumption node paddy in setting number of days
Electric phase energy consumption data；
S3. the relating value of the energy consumption and paddy electricity phase energy consumption of each energy consumption node in each day is calculated；Calculating process includes：
S31. energy consumption matrix is set up according to each energy consumption node energy consumption data in each day：
Wherein m is the number of days of setting, and the present embodiment is exemplified by 10 days.K represents k-th of energy consumption node, correspondence k order point
Wei not illuminate, air-conditioning, other energy consumption nodes；Then energy consumption matrix is：
S32. obtain each energy consumption node paddy electricity phase energy consumption data in each day and set up paddy electricity energy consumption matrix：
I.e.
S33. each energy consumption node energy consumption in each day and the relating value of each energy consumption node paddy electricity phase energy consumption are calculated, relating value is obtained
Matrix
WhereinAccording to 10 days examples, then
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. value matrix X is associated according to each energy consumption node energy consumption and each energy consumption node paddy electricity phase energy consumption*, to wherein each energy
Consumption node relating value is standardized：
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 W=[ω1,ω2,ω3]。
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 consumption1,ω2,ω3]；
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 dynamic evaluation system analyzed based on paddy electricity, it is characterised in that：Including ammeter end, cloud server terminal and user
End, ammeter end includes collector unit, is arranged on the ammeter unit of the tested each energy consumption node in place, and each ammeter unit is respectively with collecting single
Member is connected, and cloud server terminal includes computing unit, memory cell, identity authenticating unit, and memory cell is connected with computing unit, identity
Authentication unit is connected with memory cell, computing unit respectively, and collector unit is connected by network with computing unit, and user terminal passes through
Network is connected with identity authenticating unit, computing unit respectively.
2. a kind of ammeter dynamic evaluation system analyzed based on paddy electricity according to claim 1, it is characterized in that tested place is each
Energy consumption node include lighting energy consumption node, air conditioning energy consumption node, and other electric equipments other energy consumption nodes.
3. it is a kind of based on paddy electricity analyze ammeter dynamic assessment method, using the system in claim 1, it is characterized in that including with
Lower step：
S1. authentication is carried out to user terminal according to user terminal application；
S2. it is verified rear computing unit and obtains the energy consumption data of each energy consumption node and each energy consumption node paddy electricity phase in setting number of days
Energy consumption data；
S3. the relating value of the energy consumption and paddy electricity phase energy consumption 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 dynamic assessment method analyzed based on paddy electricity according to claim 3, it is characterized in that in step S1
The process of authentication includes：
S11. user terminal sends to identity authenticating unit and checks application with IP；
S12. identity authenticating unit searches for the user profile of the IP out of memory cell, obtains the phone number of the IP user, to
The phone number sends checking information；
S13. identity authenticating unit receives the checking information that user terminal is sent, if checking information is inconsistent, terminates, if checking
Information unanimously then enters lower step；
S14. the corresponding ammeter end data of the user is transferred in memory cell according to the user profile of the IP.
5. a kind of ammeter dynamic assessment method analyzed based on paddy electricity according to claim 3, it is characterized in that in step S3
The calculating process of relating value includes：
S31. energy consumption matrix is set up according to each energy consumption node energy consumption data in each day：
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Node；
S32. obtain each energy consumption node paddy electricity phase energy consumption data in each day and set up paddy electricity energy consumption matrix：
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S33. each energy consumption node energy consumption in each day and the relating value of each energy consumption node paddy electricity phase energy consumption are calculated, obtains associating value matrix
Wherein
6. a kind of ammeter dynamic assessment method analyzed based on paddy electricity according to claim 5, it is characterized in that in step S4
The Evaluation on Energy Saving coefficient calculating process of each energy consumption node energy consumption in each day 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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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：
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<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 2 be resolution ratio；
Metewand matrix E is obtained,
E=[ξm(k)]m×k。
7. a kind of ammeter dynamic assessment method analyzed based on paddy electricity according to claim 5 or 6, it is characterized in that step 5
In the calculating process of weighted value of each energy consumption node energy consumption include：
S51. value matrix X is associated according to each energy consumption node energy consumption and each energy consumption node paddy electricity phase energy consumption*, to wherein each energy consumption section
Point relating value is standardized：
<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>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
</mrow>
Degree of association matrix after being standardized
<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>
<mi>m</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>i</mi>
<mo>;</mo>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>;</mo>
</mrow>
S52. the entropy of degree of association numerical value is after being standardized：
<mrow>
<msub>
<mi>S</mi>
<mi>k</mi>
</msub>
<mo>=</mo>
<mi>a</mi>
<msubsup>
<mo>&Sigma;</mo>
<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>l</mi>
<mi>n</mi>
<mi> </mi>
<msub>
<mi>b</mi>
<msub>
<mi>k</mi>
<mi>m</mi>
</msub>
</msub>
<mo>,</mo>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
<mo>,</mo>
</mrow>
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>
<mo>&Sigma;</mo>
<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
=[ω1…ωk]。
8. a kind of ammeter dynamic assessment method analyzed based on paddy electricity according to claim 6, it is characterized in that each in step 6
The calculating process of the Evaluation on Energy Saving value of its total energy consumption includes：
S61. metewand matrix is obtained
E=[ξm(k)]m×k
With the weight W=[ω of energy consumption node energy consumption1…ωk]；
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>
<mo>&Sigma;</mo>
<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 dynamic assessment method analyzed based on paddy electricity according to claim 8, it is characterized in that sentencing in step 7
The Power Saving Class process in disconnected each day 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>
3
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407039A (en) * | 2018-11-13 | 2019-03-01 | 许继集团有限公司 | Intelligent electric meter and its system, self-diagnosing method and fault detection method |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102542347A (en) * | 2011-12-28 | 2012-07-04 | 东南大学 | Method for comprehensively evaluating electric energy quality |
| CN102710623A (en) * | 2012-05-23 | 2012-10-03 | 中国电力科学研究院 | Intelligent grid electricity information privacy protection method based on multi-party interaction |
| CN103403746A (en) * | 2011-01-13 | 2013-11-20 | 塔塔咨询服务有限公司 | A method and system for effective management of energy consumption by household appliances |
| EP2678690A1 (en) * | 2011-02-22 | 2014-01-01 | InfanDx AG | Method and use of metabolites for the diagnosis of inflammatory brain injury in preterm born infants |
| CN103544399A (en) * | 2013-11-04 | 2014-01-29 | 牛丽仙 | Building electricity energy-saving management method based on grey correlation |
| CN103679304A (en) * | 2012-08-31 | 2014-03-26 | 上海达希能源科技有限公司 | Building energy management system based on cloud services |
| CN204145547U (en) * | 2014-10-28 | 2015-02-04 | 厦门元谷信息科技有限公司 | A kind of building energy consumption management system for monitoring |
| CN104376502A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | Electric power customer credit comprehensive evaluation method based on grey relational degree |
| CN104778631A (en) * | 2015-03-11 | 2015-07-15 | 国家电网公司 | Method for optimizing power utilization modes of residential users with orientation to demand response |
| CN105023065A (en) * | 2015-07-24 | 2015-11-04 | 国网山东省电力公司经济技术研究院 | Power grid planning risk evaluation system and method based on grey correlation degree TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) |
| CN204882667U (en) * | 2015-09-07 | 2015-12-16 | 温州万星电气有限公司 | Electric energy meter |
| CN105427053A (en) * | 2015-12-07 | 2016-03-23 | 广东电网有限责任公司江门供电局 | Relative influence analysis model applied to evaluation of distribution network construction and renovation schemes and power supply quality indexes |
| CN105699716A (en) * | 2016-03-31 | 2016-06-22 | 从兴技术有限公司 | Electric power consumption equipment metering and acquiring method, socket and electric power consumption equipment metering and acquiring system |
| CN106295909A (en) * | 2016-08-24 | 2017-01-04 | 国网北京市电力公司 | For calculating data processing method and the device of the electrical network project indicator |
| CN106548280A (en) * | 2016-10-27 | 2017-03-29 | 深圳供电局有限公司 | Method and system for improving user experience based on big data analysis power quality |
| CN106570629A (en) * | 2016-11-03 | 2017-04-19 | 国家电网公司 | Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree |
-
2017
- 2017-05-23 CN CN201710370807.8A patent/CN107229031A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103403746A (en) * | 2011-01-13 | 2013-11-20 | 塔塔咨询服务有限公司 | A method and system for effective management of energy consumption by household appliances |
| EP2678690A1 (en) * | 2011-02-22 | 2014-01-01 | InfanDx AG | Method and use of metabolites for the diagnosis of inflammatory brain injury in preterm born infants |
| CN102542347A (en) * | 2011-12-28 | 2012-07-04 | 东南大学 | Method for comprehensively evaluating electric energy quality |
| CN102710623A (en) * | 2012-05-23 | 2012-10-03 | 中国电力科学研究院 | Intelligent grid electricity information privacy protection method based on multi-party interaction |
| CN103679304A (en) * | 2012-08-31 | 2014-03-26 | 上海达希能源科技有限公司 | Building energy management system based on cloud services |
| CN103544399A (en) * | 2013-11-04 | 2014-01-29 | 牛丽仙 | Building electricity energy-saving management method based on grey correlation |
| CN204145547U (en) * | 2014-10-28 | 2015-02-04 | 厦门元谷信息科技有限公司 | A kind of building energy consumption management system for monitoring |
| CN104376502A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | Electric power customer credit comprehensive evaluation method based on grey relational degree |
| CN104778631A (en) * | 2015-03-11 | 2015-07-15 | 国家电网公司 | Method for optimizing power utilization modes of residential users with orientation to demand response |
| CN105023065A (en) * | 2015-07-24 | 2015-11-04 | 国网山东省电力公司经济技术研究院 | Power grid planning risk evaluation system and method based on grey correlation degree TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) |
| CN204882667U (en) * | 2015-09-07 | 2015-12-16 | 温州万星电气有限公司 | Electric energy meter |
| CN105427053A (en) * | 2015-12-07 | 2016-03-23 | 广东电网有限责任公司江门供电局 | Relative influence analysis model applied to evaluation of distribution network construction and renovation schemes and power supply quality indexes |
| CN105699716A (en) * | 2016-03-31 | 2016-06-22 | 从兴技术有限公司 | Electric power consumption equipment metering and acquiring method, socket and electric power consumption equipment metering and acquiring system |
| CN106295909A (en) * | 2016-08-24 | 2017-01-04 | 国网北京市电力公司 | For calculating data processing method and the device of the electrical network project indicator |
| CN106548280A (en) * | 2016-10-27 | 2017-03-29 | 深圳供电局有限公司 | Method and system for improving user experience based on big data analysis power quality |
| CN106570629A (en) * | 2016-11-03 | 2017-04-19 | 国家电网公司 | Intelligent ammeter provider multi-target integral evaluation method based on gray correlation degree |
Non-Patent Citations (4)
| Title |
|---|
| 刘志士: "基于组合赋权-灰色关联的电能质量综合评估方法研究", 《黑龙江电力》 * |
| 卫泽晨 等: "网格化中低压智能配电网评价指标体系与方法", 《电网技术》 * |
| 张碧涵 等: "低压直流供电系统的电能质量综合评估", 《电力建设》 * |
| 徐谦: "《高受电比例下浙江电网的供电安全》", 31 December 2015, 浙江大学出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109407039A (en) * | 2018-11-13 | 2019-03-01 | 许继集团有限公司 | Intelligent electric meter and its system, self-diagnosing method and fault detection method |
| CN109407039B (en) * | 2018-11-13 | 2021-09-14 | 许继集团有限公司 | Intelligent electric meter and system thereof, self-diagnosis method and fault detection method |
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