CN106771448A - A kind of electric energy meter shunting anti-electricity-theft early warning analysis method of analysis - Google Patents
A kind of electric energy meter shunting anti-electricity-theft early warning analysis method of analysis Download PDFInfo
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- CN106771448A CN106771448A CN201611157837.2A CN201611157837A CN106771448A CN 106771448 A CN106771448 A CN 106771448A CN 201611157837 A CN201611157837 A CN 201611157837A CN 106771448 A CN106771448 A CN 106771448A
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Abstract
A kind of electric energy meter shunting anti-electricity-theft early warning analysis method of analysis.It includes：Event to electric energy meter generation in power distribution network is acquired：Invalid event screening is carried out for the event that electric energy meter is generated, invalid event is removed；Abnormal data filtering screening, and the numerical value combination business support flexible configuration that will be obtained are carried out for the electricity consumption data that electric energy meter is reported；The steps such as electric energy meter shunting analysis are carried out based on above-mentioned electricity consumption data.Effect of the present invention：Each rule-like carries out comprehensive descision, analysis to abnormal information, and realizes that mass data is quasi real time processed with reference to big data digging technology, and situ metrology abnormal conditions, electricity filching behavior are monitored on-line；There is incidence relation in the species of all kinds of anomalous events and electricity filching behavior and electricity filching behavior in power information acquisition system, incidence relation and association analysis algorithm carry out comprehensive descision and analysis between the weights, different models with reference to all kinds of anomaly analysis models, judge the size of user's stealing possibility.
Description
Technical field
The invention belongs to intelligent grid informationization technology field, more particularly to a kind of electric energy meter shunting analysis is anti-electricity-theft pre-
Alert analysis method.
Background technology
In power system, big data platform uses X86-based, integrates common data component and intellectual analysis decision-making is flat
Platform, builds big data platform of company level, is capable of achieving data resource unification storage, data unification externally service, support big data point
The analysis classes applications such as analysis application, specialty analysis application and Real-time Decision, the application system performance in the case of support big data quantity is excellent
Change, for types of applications construction provides the basic supports such as mass data collection treatment, storage treatment, calculating treatment, analysis mining
Function.Simultaneously as big data platform of company level, line creation data storage capacity can be simultaneously provided in, towards domestic consumer, opened
Several aspects such as hair personnel, upper-layer service system, there is provided the storage carried out around data, treatment, share, it is analytical calculation, general
The related service of analysis model algorithm, visualization component.
Marketing management system is the information system for supporting power marketing business, and power marketing business is by the specific industry in each field
Sharing out the work and helping one another for business, for client provides all kinds of services, completes all kinds of sales services treatment, be the management of power supply enterprise, operation and
Decision-making provides support.
But, with the continuous upgrading of stealing technical intelligence, stealing main body is from original resident to enterprise, by giving birth to
Live to operation, by the development of power supply enterprise's external-to-internal so that stealing electricity phenomenon still cannot effectively contain that this can seriously be damaged
The legitimate rights and interests of evil power supply enterprise, upset and normally supply electricity consumption order, so that the development of electric utility is influenceed, and to safe use
Electricity brings serious threat.
The content of the invention
In order to solve the above problems, it is an object of the invention to provide a kind of electric energy meter shunting anti-electricity-theft early warning analysis of analysis
Method.
In order to achieve the above object, the electric energy meter shunting anti-electricity-theft early warning analysis method of analysis that the present invention is provided includes following
Step：
Step 1) event that electric energy meter in power distribution network is generated is acquired：
Step 2) invalid event screening is carried out for the event that electric energy meter is generated, remove invalid event；
Step 3) abnormal data filtering screening is carried out for the electricity consumption data that electric energy meter is reported, and the numerical value that will be obtained is combined
Business support flexible configuration；
Step 4) electric energy meter shunting analysis is carried out based on above-mentioned electricity consumption data.
In step 2) in, described includes following step for the method that the event that electric energy meter is generated carries out invalid event screening
Suddenly：
Step 2.1) reject the event for repeating to report：Repeat to report with 1 event, event content includes time complete phase
Together, main website intelligent diagnostics only are carried out by the 1st article, its complementary event is not involved in main website intelligent diagnostics；
Step 2.2) reject undesirable event：The event that content does not meet communications protocol format requirement is rejected, bag
Include data mess code and answer number completion according to the situation for sky；
Step 2.3) reject substantially wrong event：Reject content substantially wrong event, including event time is earlier than setting
Standby set-up time and event time are later than the situation of current time.
In step 3) in, the described method bag that abnormal data filtering screening is carried out for the electricity consumption data that electric energy meter is reported
Include the following steps：
Step 3.1) reject active power abnormal data：The positive/negative numerical value for multiplying multiplying power to active general power is closed more than user
With K times of capacity, belong to active general power abnormal data；
Step 3.2) reject day maximum power consumption abnormal data：Day freezes the positive/negative electricity being calculated to electric energy indicating value,
More than K times of the maximum power consumption (contract capacity × 24h) of user day, belong to day maximum power consumption abnormal data；
Step 3.3) reject moon maximum power consumption abnormal data：The moon freezes the positive/negative electricity being calculated to electric energy indicating value,
More than K times of the maximum power consumption (contract capacity × 24h × 30 day) of user month, belong to moon maximum power consumption abnormal data；
Step 3.4) reject user's contract capacity abnormal data：Day month freezes maximum demand and multiplies the numerical value of multiplying power more than use
K times of family contract capacity, belongs to user's contract capacity abnormal data；
Step 3.5) reject secondary side electric voltage exception data：Secondary side magnitude of voltage is more than K times of rated secondary voltage value,
Belong to secondary side electric voltage exception data.
In step 4) in, the described method for carrying out electric energy meter shunting analysis based on above-mentioned electricity consumption data is as follows：
For inside or outside electric energy meter using parallel low resistance and by live wire current distributing so that into metering unit
The electric current of part diminishes and reaches the phenomenon of stealing, by detecting that live wire electric current (L) value in electric energy meter and neutral line current (N) value be
It is no difference occur to analyze user with the presence or absence of electricity filching behavior.
After electric energy meter current coil is shorted in the middle of high voltage electric power metering system, secondary winding in current transformer end
Voltage and current can produce unequal ratio both when by electric energy meter current coil, for this change, can therefore
Barrier detecting system is set up, and using the circuit such as filtering and A/D conversions, SCM Based real-time monitoring system can be to it
Middle Secondary Winding terminal voltage data are acquired, and can also be to electric energy meter using RS485 communication interfaces real-time monitoring system
Current data in the middle of current coil through flowing is read out, and such monitoring system just can shunt stealing failure for current coil
The situation of change of the ratio with secondary winding in current transformer terminal voltage and electric current both when by electric energy meter current coil is entered
Row monitor in real time, the situation if abnormal increase is appeared in the middle of both ratio, means that electric energy meter current coil is short
The phenomenon for connecing there occurs.
Effect of the invention：
1st, each rule-like carries out comprehensive descision, analysis to abnormal information, and realizes magnanimity number with reference to big data digging technology
According to quasi real time processing, situ metrology abnormal conditions, electricity filching behavior are monitored on-line；
2nd, in power information acquisition system all kinds of anomalous events and the species of electricity filching behavior and electricity filching behavior are present closes
Incidence relation and association analysis algorithm carry out synthesis between connection relation, the weights, different models with reference to all kinds of anomaly analysis models
Judge and analyze, judge the size of user's stealing possibility；
Support that dynamic produces anomalous event alarm, realize what the inline diagnosis of live electricity filching behavior and electricity filching behavior were analyzed
Whole Course Management, auxiliary improves the accuracy rate judged electricity filching behavior analysis.
Brief description of the drawings
The flow chart of the electric energy meter shunting anti-electricity-theft early warning analysis method of analysis that Fig. 1 is provided for the present invention.
Specific embodiment
The anti-electricity-theft early warning analysis side of electric energy meter shunting analysis for being provided the present invention with specific embodiment below in conjunction with the accompanying drawings
Method is described in detail.
As shown in figure 1, the electric energy meter shunting anti-electricity-theft early warning analysis method of analysis that the present invention is provided comprises the following steps：
Step 1) event that electric energy meter in power distribution network is generated is acquired：
Step 2) invalid event screening is carried out for the event that electric energy meter is generated, remove invalid event；
Step 3) abnormal data filtering screening is carried out for the electricity consumption data that electric energy meter is reported, and the numerical value that will be obtained is combined
Business support flexible configuration；
Step 4) electric energy meter shunting analysis is carried out based on above-mentioned electricity consumption data.
In step 2) in, described includes following step for the method that the event that electric energy meter is generated carries out invalid event screening
Suddenly：
Step 2.1) reject the event for repeating to report：Repeat to report with 1 event, event content includes time complete phase
Together, main website intelligent diagnostics only are carried out by the 1st article, its complementary event is not involved in main website intelligent diagnostics；
Step 2.2) reject undesirable event：The event that content does not meet communications protocol format requirement is rejected, bag
Include data mess code and answer number completion according to the situation for sky；
Step 2.3) reject substantially wrong event：Reject content substantially wrong event, including event time is earlier than setting
Standby set-up time and event time are later than the situation of current time.
In step 3) in, the described method bag that abnormal data filtering screening is carried out for the electricity consumption data that electric energy meter is reported
Include the following steps：
Step 3.1) reject active power abnormal data：The positive/negative numerical value for multiplying multiplying power to active general power is closed more than user
With K times of capacity, belong to active general power abnormal data；
Step 3.2) reject day maximum power consumption abnormal data：Day freezes the positive/negative electricity being calculated to electric energy indicating value,
More than K times of the maximum power consumption (contract capacity × 24h) of user day, belong to day maximum power consumption abnormal data；
Step 3.3) reject moon maximum power consumption abnormal data：The moon freezes the positive/negative electricity being calculated to electric energy indicating value,
More than K times of the maximum power consumption (contract capacity × 24h × 30 day) of user month, belong to moon maximum power consumption abnormal data；
Step 3.4) reject user's contract capacity abnormal data：Day month freezes maximum demand and multiplies the numerical value of multiplying power more than use
K times of family contract capacity, belongs to user's contract capacity abnormal data；
Step 3.5) reject secondary side electric voltage exception data：Secondary side magnitude of voltage is more than K times of rated secondary voltage value,
Belong to secondary side electric voltage exception data.
In step 4) in, the described method for carrying out electric energy meter shunting analysis based on above-mentioned electricity consumption data is as follows：
For inside or outside electric energy meter using parallel low resistance and by live wire current distributing so that into metering unit
The electric current of part diminishes and reaches the phenomenon of stealing, by detecting that live wire electric current (L) value in electric energy meter and neutral line current (N) value be
It is no difference occur to analyze user with the presence or absence of electricity filching behavior.
After electric energy meter current coil is shorted in the middle of high voltage electric power metering system, secondary winding in current transformer end
Voltage and current can produce unequal ratio both when by electric energy meter current coil, for this change, can therefore
Barrier detecting system is set up, and using the circuit such as filtering and A/D conversions, SCM Based real-time monitoring system can be to it
Middle Secondary Winding terminal voltage data are acquired, and can also be to electric energy meter using RS485 communication interfaces real-time monitoring system
Current data in the middle of current coil through flowing is read out, and such monitoring system just can shunt stealing failure for current coil
The situation of change of the ratio with secondary winding in current transformer terminal voltage and electric current both when by electric energy meter current coil is entered
Row monitor in real time, the situation if abnormal increase is appeared in the middle of both ratio, means that electric energy meter current coil is short
The phenomenon for connecing there occurs.
The present invention can apply to install to user and a little apply to install and a little positioned in map with power receiving equipment, and comprehensively use power network
Facility information, graphical information and topology information in GIS, with reference to marketing system business need, quickly analyze and reasonably apply to install
Scheme, refers to for solution formulation personnel and site inspection personnel, and can carry out applying to install the preservation and printing of scheme, realizes power supply
The auxiliary establishment of scheme and visual presentation.
Claims (4)
1. anti-electricity-theft early warning analysis method is analyzed in a kind of electric energy meter shunting, it is characterised in that：Described electric energy meter shunting analysis is anti-
Stealing early warning analysis method comprises the following steps：
Step 1) event that electric energy meter in power distribution network is generated is acquired：
Step 2) invalid event screening is carried out for the event that electric energy meter is generated, remove invalid event；
Step 3) carry out abnormal data filtering screening, and the numerical value combination business that will be obtained for the electricity consumption data that electric energy meter is reported
Support flexible configuration；
Step 4) electric energy meter shunting analysis is carried out based on above-mentioned electricity consumption data.
2. anti-electricity-theft early warning analysis method is analyzed in electric energy meter shunting according to claim 1, it is characterised in that：In step 2)
In, described comprises the following steps for the method that the event that electric energy meter is generated carries out invalid event screening：
Step 2.1) reject the event for repeating to report：Repeat to report with 1 event, event content includes that the time is identical,
Main website intelligent diagnostics only are carried out by the 1st article, its complementary event is not involved in main website intelligent diagnostics；
Step 2.2) reject undesirable event：Reject the event that content does not meet communications protocol format requirement, including number
According to mess code and number completion is answered according to being empty situation；
Step 2.3) reject substantially wrong event：The substantially wrong event of content is rejected, including event time is pacified earlier than equipment
ETL estimated time of loading and event time are later than the situation of current time.
3. anti-electricity-theft early warning analysis method is analyzed in electric energy meter shunting according to claim 1, it is characterised in that：In step 3)
In, described comprises the following steps for the method that the electricity consumption data that electric energy meter is reported carries out abnormal data filtering screening：
Step 3.1) reject active power abnormal data：The positive/negative numerical value for multiplying multiplying power to active general power holds more than user's contract
K times of amount, belongs to active general power abnormal data；
Step 3.2) reject day maximum power consumption abnormal data：Day freezes the positive/negative electricity being calculated to electric energy indicating value, is more than
K times of the maximum power consumption (contract capacity × 24h) of user day, belongs to day maximum power consumption abnormal data；
Step 3.3) reject moon maximum power consumption abnormal data：The moon freezes the positive/negative electricity being calculated to electric energy indicating value, is more than
K times of the maximum power consumption (contract capacity × 24h × 30 day) of user month, belongs to moon maximum power consumption abnormal data；
Step 3.4) reject user's contract capacity abnormal data：Day month freezes maximum demand and multiplies the numerical value of multiplying power more than user's conjunction
With K times of capacity, belong to user's contract capacity abnormal data；
Step 3.5) reject secondary side electric voltage exception data：Secondary side magnitude of voltage belongs to more than K times of rated secondary voltage value
Secondary side electric voltage exception data.
4. anti-electricity-theft early warning analysis method is analyzed in electric energy meter shunting according to claim 1, it is characterised in that：In step 4)
In, the described method for carrying out electric energy meter shunting analysis based on above-mentioned electricity consumption data is as follows：
For inside or outside electric energy meter using parallel low resistance by live wire current distributing so that into measuring element
Electric current diminishes and reaches the phenomenon of stealing, by detecting whether live wire electric current (L) value in electric energy meter and neutral line current (N) value go out
Show difference to analyze user with the presence or absence of electricity filching behavior.
After electric energy meter current coil is shorted in the middle of high voltage electric power metering system, secondary winding in current transformer terminal voltage
Unequal ratio can be produced both when by electric energy meter current coil with electric current, for this change, failure can be examined
Examining system is set up, and using the circuit such as filtering and A/D conversions, SCM Based real-time monitoring system can be to wherein two
Secondary winding terminal voltage data is acquired, and can also be to electric energy meter current using RS485 communication interfaces real-time monitoring system
Current data in the middle of coil through flowing is read out, and such monitoring system just can be for current coil shunting stealing failure and electricity
The situation of change of the ratio of current transformer Secondary Winding terminal voltage and electric current both when by electric energy meter current coil carries out reality
When monitor, the situation if abnormal increase is appeared in the middle of both ratio, means that what electric energy meter current coil was shorted
Phenomenon there occurs.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107656231A (en) * | 2017-07-21 | 2018-02-02 | 国网浙江省电力公司 | A kind of electric energy meter game clock lid event analysis of the accuracy method |
| CN107817463A (en) * | 2017-11-20 | 2018-03-20 | 国网福建省电力有限公司 | A kind of electricity anti-theft method for detecting short circuit electric energy meter |
| CN108051627A (en) * | 2017-11-20 | 2018-05-18 | 国网福建省电力有限公司 | A kind of burglar-proof electric circuit for detecting short circuit electric energy meter |
| CN109142830A (en) * | 2018-08-15 | 2019-01-04 | 国网山东省电力公司青岛供电公司 | Stealing detection method based on power information acquisition system big data |
| CN109655778A (en) * | 2018-12-27 | 2019-04-19 | 国网湖南省电力有限公司 | The quickly method of investigation stealing |
| CN110045182A (en) * | 2019-01-04 | 2019-07-23 | 国网浙江省电力有限公司 | A kind of low-voltage platform area current supply circuit exception analysis method based on impedance computation |
| CN111474514A (en) * | 2020-06-28 | 2020-07-31 | 国网江西综合能源服务有限公司 | Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current |
| CN111913148A (en) * | 2020-06-05 | 2020-11-10 | 国网山西省电力公司 | Method for positioning and metering abnormal three-phase electric energy meter based on digital-analog comparison method |
| CN111965585A (en) * | 2020-08-11 | 2020-11-20 | 云南电网有限责任公司电力科学研究院 | Electric energy meter abnormity judgment method |
| CN112147390A (en) * | 2020-09-23 | 2020-12-29 | 国网山东省电力公司莒县供电公司 | Automatic alarm anti-theft electric energy meter |
| CN116908524A (en) * | 2023-09-13 | 2023-10-20 | 中国建筑科学研究院有限公司 | Abnormal sensing monitoring system of building electrical system based on artificial intelligence |
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2016
- 2016-12-15 CN CN201611157837.2A patent/CN106771448A/en active Pending
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107656231A (en) * | 2017-07-21 | 2018-02-02 | 国网浙江省电力公司 | A kind of electric energy meter game clock lid event analysis of the accuracy method |
| CN107817463A (en) * | 2017-11-20 | 2018-03-20 | 国网福建省电力有限公司 | A kind of electricity anti-theft method for detecting short circuit electric energy meter |
| CN108051627A (en) * | 2017-11-20 | 2018-05-18 | 国网福建省电力有限公司 | A kind of burglar-proof electric circuit for detecting short circuit electric energy meter |
| CN109142830A (en) * | 2018-08-15 | 2019-01-04 | 国网山东省电力公司青岛供电公司 | Stealing detection method based on power information acquisition system big data |
| CN109655778A (en) * | 2018-12-27 | 2019-04-19 | 国网湖南省电力有限公司 | The quickly method of investigation stealing |
| CN110045182B (en) * | 2019-01-04 | 2023-01-24 | 国网浙江省电力有限公司 | Low-voltage transformer area power supply loop abnormity analysis method based on impedance calculation |
| CN110045182A (en) * | 2019-01-04 | 2019-07-23 | 国网浙江省电力有限公司 | A kind of low-voltage platform area current supply circuit exception analysis method based on impedance computation |
| CN111913148A (en) * | 2020-06-05 | 2020-11-10 | 国网山西省电力公司 | Method for positioning and metering abnormal three-phase electric energy meter based on digital-analog comparison method |
| CN111474514A (en) * | 2020-06-28 | 2020-07-31 | 国网江西综合能源服务有限公司 | Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current |
| CN111474514B (en) * | 2020-06-28 | 2020-12-08 | 国网江西综合能源服务有限公司 | Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current |
| CN111965585A (en) * | 2020-08-11 | 2020-11-20 | 云南电网有限责任公司电力科学研究院 | Electric energy meter abnormity judgment method |
| CN112147390A (en) * | 2020-09-23 | 2020-12-29 | 国网山东省电力公司莒县供电公司 | Automatic alarm anti-theft electric energy meter |
| CN116908524A (en) * | 2023-09-13 | 2023-10-20 | 中国建筑科学研究院有限公司 | Abnormal sensing monitoring system of building electrical system based on artificial intelligence |
| CN116908524B (en) * | 2023-09-13 | 2023-12-01 | 中国建筑科学研究院有限公司 | Abnormal sensing monitoring system of building electrical system based on artificial intelligence |
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