CN103713275A - Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm - Google Patents
Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm Download PDFInfo
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Abstract
The invention discloses a method judging electric energy meter metering inaccuracy abnormities based on a multidimensional association rule algorithm. The method is an online monitoring and intelligent diagnosis system of a metering device and acquisition equipment, and an algorithm which determines the electric energy meter metering abnormities, wherein the electricity stealing behavior of a user is excluded. Electric energy meter metering inaccuracy faults comprises two types of abnormities of electric energy meter stop (including slow walking) and flying. By analyzing all kinds of electricity utilization data of a user site, a metering online monitoring system checks the profile information and a marketing business process of the user, is combined with an event generated by an acquisition device, carries out the comprehensive analysis of the multidimensional association rule algorithm of an Apriori property, and judges the confidence and the support degree of the abnormities of electric energy meter stop (including slow walking) and flying. A technical method and a reference basis are provided to determine whether the electric energy meter has the metering abnormities and whether a power company needs to carry out on-site meter correction or state maintenance.
Description
Technical field
The present invention relates to power industry electricity consumption marketing and field of measuring techniques, relate in particular to a kind of based on the inaccurate abnormal method of Mining Multidimensional Association Rules judgement electric energy meter metering.
Background technology
Electric energy meter stops walking (containing being careful) and the metering fault that flies away is an important ingredient in metering on-line monitoring system, metering on-line monitoring system is that framework is in power information acquisition system, sales service system, data mining and analytic system in the electric flux system of critical point, it makes full use of the data of enriching that power information acquisition system and critical point electric flux system provide collection in worksite, the archives that provide in conjunction with marketing system and Workflow messages, by to electric energy meter, the voltage of metering use, current transformer and secondary circuit, electric energy metering cabinet (case), collecting devices etc. carry out on-line operation monitoring of working condition, comprehensive analysis and intelligent diagnostics, can be accurately, find intuitively the abnormal and fault of measuring apparatus and collecting device, and to fault or abnormal timely defect elimination, raising business is ageing, reduce operating loss, customer complaint risk, reduce the personnel's of specialized department such as metering and power utility check workload, meet Utilities Electric Co. and the operating mode of scene operation measuring apparatus is carried out to the demand of Real-Time Monitoring.
Summary of the invention
The object of the invention is exactly in order to make up the defect of prior art, provides a kind of based on the inaccurate abnormal method of Mining Multidimensional Association Rules judgement electric energy meter metering.
The present invention is achieved by the following technical solutions:
Based on the inaccurate abnormal method of Mining Multidimensional Association Rules judgement electric energy meter metering, comprise following content:
1, specially become the inaccurate abnormal step of user's electric energy meter metering as follows:
(1) all kinds of electricity consumption data that user gathered check, cleaning mistake or abnormal data are got rid of due to the abnormal and unexpected sample point that produces very large data of harvester; Inspection user business in marketing system is applied to install flow process, gets rid of marketing system and is walking to tear open table, changing the user of surface low journey; Check in User Profile information, whether the metering method of electric energy meter and rated voltage, the mode of connection be consistent, the problem of eliminating files on each of customers typing mistake;
(2) electric energy meter stops the judgement of walking or being careful: metering on-line monitoring system is analyzed by the current acquisition sample points on the same day, arbitrary whether satisfied 5 time points that surpass of counting of 0.05A that are greater than mutually in statistics three-phase; Whether the electric energy meter registration increment △ Q that simultaneously analyzes the same day is less than 0.1kWh; When above-mentioned two situations all meet, include this user in analytic target;
(3) the electric energy meter judgement of flying away: the theoretical power consumption Q=S*24*K of user, wherein S represents that user applies to install capacity, and K represents weights, and weights scope is (0,100], between, K value carries out setting after comprehensive judge in category of employment, electricity consumption classification, load character, importance condition according to user institute; Metering on-line monitoring system is by calculating one day actual power consumption of user, and the ratio I of actual power consumption and theoretical power consumption Q is greater than at 1 o'clock, includes this user in analytic target;
(4) formulate terminal and within the cycle of checking meter, judge that electric energy meter stops walking or the algorithm of the event of being careful and flying away:
1) electric energy meter stops walking or being careful: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, when the value difference of initial value and all end-of-period values is more than or equal to 0.01kWh, think that electric energy meter is normal; When the value difference of initial value and all end-of-period values is zero, whether the current requirement in computation period end is more than or equal to 0.01kWh with the charge value of the cycle gained of checking meter, and in this way, is judged as electric energy meter and stops walking or being careful;
2) electric energy meter flies away: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, the charge value △ of the current requirement in computation period end and the cycle gained of checking meter, when initial value and all end-of-period values are all more than or equal to 10 △, are judged as electric energy meter and fly away;
(5) metering on-line monitoring system specially becomes user's electric energy meter and stops walking or be careful and fly away when abnormal analyzing, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of system statistics stop walking or be careful and fly away the number of times support that extremely occurs within a period of time and terminal on send that electric energy meter stops walking to be careful, the event of the flying away confidence level of frequency simultaneously, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
correlation rule be shape as
implication, wherein
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking or the exception record of being careful or flying away, and B represents to send electric energy meter to stop walking, flying away event in terminal;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule; The set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set;
2, the inaccurate abnormal step of low-voltage customer electric energy meter metering is as follows:
Due to the power information kind analogy of low-voltage customer collection, specially to become user a lot of less, and the on-site data gathering device using also has any different with special change user's terminal, so analytical approach is with specially to become user different.
(1) first analysis user object meter reading data checked and cleared up, getting rid of check meter failure or the abnormal user that checks meter;
(2), for low-voltage customer electric energy meter, 1,2,7,8,9, Dec, according to class of subscriber, get I
maxby 8 hours or 12 hours, calculate the theoretical daily power consumption of user, 3,4,5,6,10, November, according to class of subscriber, get 3*I
bpress and within 8 hours, 12 hours, calculate the theoretical daily power consumption of user:
Theoretical power consumption=K*220*Imax*24/1000 of single-phase user's day;
General industry and commerce day of three-phase theoretical power consumption:
If directly adopt table, computing formula=K*220*Imax*24*3/1000;
If connect secondary circuit, computing formula=K*220*CT*5*24*3/1000;
By the theoretical power consumption of user and the same day actual electric weight compare, if ratio K 1 is more than or equal to 1, be set to be seen;
(3) for user to be seen, in terminal, the electric energy meter of installation is set to emphasis user electric energy meter, require voltage, the electric current of terminal copy reading electric energy meter, and calculate the actual power consumption of user according to the sample data gathering:
Single-phase user: △ I=K* (I
i-I
i-1)/2,
Directly adopt table: △ I=K*3* (I
i-I
i-1)/2,
Connect secondary circuit: △ I=K*3*CT* (I
i-I
i-1)/2
K adjusts coefficient;
(4) by estimation user average power measuring and calculating user's daily power consumption, compare and measure daily power consumption and actual power consumption, when K value is greater than specific threshold value, generate the differential event of electric weight;
(5) metering on-line monitoring system flies away when abnormal analyzing low-voltage customer electric energy meter, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of the system statistics number of times support that extremely occurs within a period of time and the differential event of electric weight confidence level of frequency simultaneously of flying away, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
correlation rule be shape as
implication, wherein
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking (containing being careful) or the exception record that flies away, and B represents the differential event of this user's electric weight;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule, and the set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set.
Advantage of the present invention is: the present invention comprehensively analyzes by Apriori character Mining Multidimensional Association Rules, judgement electric energy meter stops walking (containing being careful) and fly away abnormal confidence level and support, for judging whether electric energy meter exists metering abnormal, and Utilities Electric Co. whether needs to carry out on-the-spot calibration or repair based on condition of component provides technological means and reference frame.
Accompanying drawing explanation
Fig. 1 is that the present invention specially becomes user's electric energy meter and stops walking (containing be careful) or the process flow diagram that flies away.
Fig. 2 is that low-voltage customer electric energy meter of the present invention stops walking (containing being careful) or the process flow diagram that flies away.
Embodiment
As shown in Figure 1, 2, a kind of based on the inaccurate abnormal method of Mining Multidimensional Association Rules judgement electric energy meter metering, comprise following content:
1, specially become the inaccurate abnormal step of user's electric energy meter metering as follows:
(1) all kinds of electricity consumption data that user gathered check, cleaning mistake or abnormal data are got rid of due to the abnormal and unexpected sample point that produces very large data of harvester; Inspection user business in marketing system is applied to install flow process, gets rid of marketing system and is walking to tear open table, changing the user of surface low journey; Check in User Profile information, whether the metering method of electric energy meter and rated voltage, the mode of connection be consistent, the problem of eliminating files on each of customers typing mistake;
(2) electric energy meter stops the judgement of walking or being careful: metering on-line monitoring system is analyzed by the current acquisition sample points on the same day, arbitrary whether satisfied 5 time points that surpass of counting of 0.05A that are greater than mutually in statistics three-phase; Whether the electric energy meter registration increment △ Q that simultaneously analyzes the same day is less than 0.1kWh; When above-mentioned two situations all meet, include this user in analytic target;
(3) the electric energy meter judgement of flying away: the theoretical power consumption Q=S*24*K of user, wherein S represents that user applies to install capacity, and K represents weights, and weights scope is (0,100], between, K value carries out setting after comprehensive judge in category of employment, electricity consumption classification, load character, importance condition according to user institute; Metering on-line monitoring system is by calculating one day actual power consumption of user, and the ratio I of actual power consumption and theoretical power consumption Q is greater than at 1 o'clock, includes this user in analytic target;
(4) formulate terminal and within the cycle of checking meter, judge that electric energy meter stops walking or the algorithm of the event of being careful and flying away:
1) electric energy meter stops walking or being careful: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, when the value difference of initial value and all end-of-period values is more than or equal to 0.01kWh, think that electric energy meter is normal; When the value difference of initial value and all end-of-period values is zero, whether the current requirement in computation period end is more than or equal to 0.01kWh with the charge value of the cycle gained of checking meter, and in this way, is judged as electric energy meter and stops walking or being careful;
2) electric energy meter flies away: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, the charge value △ of the current requirement in computation period end and the cycle gained of checking meter, when initial value and all end-of-period values are all more than or equal to 10 △, are judged as electric energy meter and fly away;
(5) metering on-line monitoring system specially becomes user's electric energy meter and stops walking or be careful and fly away when abnormal analyzing, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of system statistics stop walking or be careful and fly away the number of times support that extremely occurs within a period of time and terminal on send that electric energy meter stops walking to be careful, the event of the flying away confidence level of frequency simultaneously, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
correlation rule be shape as
implication, wherein
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking or the exception record of being careful or flying away, and B represents to send electric energy meter to stop walking, flying away event in terminal;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule; The set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set;
2, the inaccurate abnormal step of low-voltage customer electric energy meter metering is as follows:
Due to the power information kind analogy of low-voltage customer collection, specially to become user a lot of less, and the on-site data gathering device using also has any different with special change user's terminal, so analytical approach is with specially to become user different.
(1) first analysis user object meter reading data checked and cleared up, getting rid of check meter failure or the abnormal user that checks meter;
(2), for low-voltage customer electric energy meter, 1,2,7,8,9, Dec, according to class of subscriber, get I
maxby 8 hours or 12 hours, calculate the theoretical daily power consumption of user, 3,4,5,6,10, November, according to class of subscriber, get 3*I
bpress and within 8 hours, 12 hours, calculate the theoretical daily power consumption of user:
Theoretical power consumption=K*220*Imax*24/1000 of single-phase user's day;
General industry and commerce day of three-phase theoretical power consumption:
If directly adopt table, computing formula=K*220*Imax*24*3/1000;
If connect secondary circuit, computing formula=K*220*CT*5*24*3/1000;
By the theoretical power consumption of user and the same day actual electric weight compare, if ratio K 1 is more than or equal to 1, be set to be seen;
(3) for user to be seen, in terminal, the electric energy meter of installation is set to emphasis user electric energy meter, require voltage, the electric current of terminal copy reading electric energy meter, and calculate the actual power consumption of user according to the sample data gathering:
Single-phase user: △ I=K* (I
i-I
i-1)/2,
Directly adopt table: △ I=K*3* (I
i-I
i-1)/2,
Connect secondary circuit: △ I=K*3*CT* (I
i-I
i-1)/2
K adjusts coefficient;
(4) by estimation user average power measuring and calculating user's daily power consumption, compare and measure daily power consumption and actual power consumption, when K value is greater than specific threshold value, generate the differential event of electric weight;
(5) metering on-line monitoring system flies away when abnormal analyzing low-voltage customer electric energy meter, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of the system statistics number of times support that extremely occurs within a period of time and the differential event of electric weight confidence level of frequency simultaneously of flying away, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
correlation rule be shape as
implication, wherein
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking (containing being careful) or the exception record that flies away, and B represents the differential event of this user's electric weight;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule, and the set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set.
Claims (1)
1. based on the inaccurate abnormal method of Mining Multidimensional Association Rules judgement electric energy meter metering, it is characterized in that: comprise following content:
A, specially to become the inaccurate abnormal step of user's electric energy meter metering as follows:
(1) all kinds of electricity consumption data that user gathered check, cleaning mistake or abnormal data are got rid of due to the abnormal and unexpected sample point that produces very large data of harvester; Inspection user business in marketing system is applied to install flow process, gets rid of marketing system and is walking to tear open table, changing the user of surface low journey; Check in User Profile information, whether the metering method of electric energy meter and rated voltage, the mode of connection be consistent, the problem of eliminating files on each of customers typing mistake;
(2) electric energy meter stops the judgement of walking or being careful: metering on-line monitoring system is analyzed by the current acquisition sample points on the same day, arbitrary whether satisfied 5 time points that surpass of counting of 0.05A that are greater than mutually in statistics three-phase; Whether the electric energy meter registration increment △ Q that simultaneously analyzes the same day is less than 0.1kWh; When above-mentioned two situations all meet, include this user in analytic target;
(3) the electric energy meter judgement of flying away: the theoretical power consumption Q=S*24*K of user, wherein S represents that user applies to install capacity, and K represents weights, and weights scope is (0,100], between, K value carries out setting after comprehensive judge in category of employment, electricity consumption classification, load character, importance condition according to user institute; Metering on-line monitoring system is by calculating one day actual power consumption of user, and the ratio I of actual power consumption and theoretical power consumption Q is greater than at 1 o'clock, includes this user in analytic target;
(4) formulate terminal and within the cycle of checking meter, judge that electric energy meter stops walking or the algorithm of the event of being careful and flying away:
1) electric energy meter stops walking or being careful: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, when the value difference of initial value and all end-of-period values is more than or equal to 0.01kWh, think that electric energy meter is normal; When the value difference of initial value and all end-of-period values is zero, whether the current requirement in computation period end is more than or equal to 0.01kWh with the charge value of the cycle gained of checking meter, and in this way, is judged as electric energy meter and stops walking or being careful;
2) electric energy meter flies away: in the cycle of checking meter, the initial value of copy reading electric energy meter, all end-of-period values and all current requirements of the end of term, the charge value △ of the current requirement in computation period end and the cycle gained of checking meter, when initial value and all end-of-period values are all more than or equal to 10 △, are judged as electric energy meter and fly away;
(5) metering on-line monitoring system specially becomes user's electric energy meter and stops walking or be careful and fly away when abnormal analyzing, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of system statistics stop walking or be careful and fly away the number of times support that extremely occurs within a period of time and terminal on send that electric energy meter stops walking to be careful, the event of the flying away confidence level of frequency simultaneously, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
, correlation rule be shape as
implication, wherein
,
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking or the exception record of being careful or flying away, and B represents to send electric energy meter to stop walking, flying away event in terminal;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule; The set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set;
The inaccurate abnormal step of b, low-voltage customer electric energy meter metering is as follows:
(1) first analysis user object meter reading data checked and cleared up, getting rid of check meter failure or the abnormal user that checks meter;
(2), for low-voltage customer electric energy meter, 1,2,7,8,9, Dec, according to class of subscriber, get I
maxby 8 hours or 12 hours, calculate the theoretical daily power consumption of user, 3,4,5,6,10, November, according to class of subscriber, get 3*I
bpress and within 8 hours, 12 hours, calculate the theoretical daily power consumption of user:
Theoretical power consumption=K*220*Imax*24/1000 of single-phase user's day;
General industry and commerce day of three-phase theoretical power consumption:
If directly adopt table, computing formula=K*220*Imax*24*3/1000;
If connect secondary circuit, computing formula=K*220*CT*5*24*3/1000;
By the theoretical power consumption of user and the same day actual electric weight compare, if ratio K 1 is more than or equal to 1, be set to be seen;
(3) for user to be seen, in terminal, the electric energy meter of installation is set to emphasis user electric energy meter, require voltage, the electric current of terminal copy reading electric energy meter, and calculate the actual power consumption of user according to the sample data gathering:
Single-phase user: △ I=K* (I
i-I
i-1)/2,
Directly adopt table: △ I=K*3* (I
i-I
i-1)/2,
Connect secondary circuit: △ I=K*3*CT* (I
i-I
i-1)/2
K adjusts coefficient;
(4) by estimation user average power measuring and calculating user's daily power consumption, compare and measure daily power consumption and actual power consumption, when K value is greater than specific threshold value, generate the differential event of electric weight;
(5) metering on-line monitoring system flies away when abnormal analyzing low-voltage customer electric energy meter, according to Apriori character Mining Multidimensional Association Rules principle, by this user's electric energy meter of the system statistics number of times support that extremely occurs within a period of time and the differential event of electric weight confidence level of frequency simultaneously of flying away, support and the confidence level of the abnormal generation that coupling system is analyzed, draw the operation flow of whether initiating to carry out on-the-spot defect elimination or calibration, specific as follows:
If I={i
1, i
2, i
3... i
mthe set of item, the data D that the task of establishing is relevant is the set of db transaction, D={T
1, T
2, T
3... T
m, make
each affairs has an identifier TID, and establishing A is an item collection, and affairs T comprises A, and and if only if
, correlation rule be shape as
implication, wherein
,
and rule is set up and is had support S and degree of confidence C in affairs D,
S=Support（A=>B）=P(AUB)
C=Confidence（A=>B）=P（B|A）
Wherein, A represents that systematic analysis user electric energy meter stops walking (containing being careful) or the exception record that flies away, and B represents the differential event of this user's electric weight;
The rule that meets minimum support threshold value and minimal confidence threshold is become to strong rule, and the set of item is called a collection, if a collection meets minimum support, claims that it is frequent item set.
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| CN106022640A (en) * | 2016-06-01 | 2016-10-12 | 国家电网公司 | Electric quantity index checking system and electric quantity index checking method |
| CN106018904A (en) * | 2016-07-20 | 2016-10-12 | 国网江西省电力公司南昌供电分公司 | Low-voltage electricity-stealing preventing device based on power line carrier wave, rapid power loss measuring and calculating method and accurate power loss measuring and calculating method |
| CN106203832A (en) * | 2016-07-12 | 2016-12-07 | 亿米特（上海）信息科技有限公司 | Intelligent electricity anti-theft analyzes system and the method for analysis |
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