CN105631201A - Load curve based electricity stealing determination method - Google Patents
Load curve based electricity stealing determination method Download PDFInfo
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- CN105631201A CN105631201A CN201510987664.6A CN201510987664A CN105631201A CN 105631201 A CN105631201 A CN 105631201A CN 201510987664 A CN201510987664 A CN 201510987664A CN 105631201 A CN105631201 A CN 105631201A
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- energy meter
- defluidization
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Abstract
The present invention discloses a load curve based electricity stealing determination method. The method comprises: acquiring historical data of an electricity energy meter, so as to obtain a current-loss feature coefficient, a current-loss proportion alarm limit value, a voltage proportion alarm limit value and a voltage-loss feature value; calculating a maximum value of current average values within 7 days and a daily average current value; calculating a current-loss feature value of the electricity energy meter; recording the number of days when the daily current value is smaller than the current-loss feature value and the number of hours when a load curve voltage value is smaller than the voltage-loss feature value; calculating a current-loss proportion and a voltage-loss proportion of the electricity energy meter; and comparing the voltage-loss proportion with the voltage-loss proportion alarm limit value, comparing the current-loss proportion with the current-loss proportion alarm limit value, and if either one of the values exceeds the alarm limit value, performing alarming to indicate that the electricity energy meter may have a risk of electricity stealing. Regardless of a current electricity usage state of the electricity energy meter, the method disclosed by the present invention is applicable to various types of electricity energy loads and can be implemented by using a computer rapidly and accurately, and the electricity energy meter having the risk of electricity stealing is automatically and accurately positioned in the whole process.
Description
Technical field
Present invention relates particularly to a kind of stealing determination methods based on load curve.
Background technology
Along with the development of national economy technology, electric energy has had become as one of most important energy in people's production, life. Electric energy meter is as the table meter of metering electric energy, and its security performance is very crucial.
But, still there is now part lawless person and receive ordering about of economic interests, utilize various means electric energy meter to be destroyed and sneaks current. Now, although along with the increase of the manufacturing technology of electric energy meter, design and manufacturing process, electric energy meter has had been provided with certain anti-electricity-theft ability, but existing electricity filching means also emerges in an endless stream, and electricity filching means has stronger disguise mostly, evidence is very easily destroyed or shifts; Especially now stealing technology is more superb, and all types of high-tech electricity filching means are more, and it is extremely difficult to collect evidence.
Although existing electric energy meter can have copy reading defluidization, decompression, the logout uncapped etc., but often has the warning of thousands of times in a day, cause that inspection personnel cannot carry out evidence obtaining work at all targetedly; If additionally, take the mode of scene evidence taking, then its difficulty is bigger, generally cannot obtain evidence on the spot.
Summary of the invention
It is an object of the invention to provide a kind of be easily achieved, can accurately, automatically derive the stealing determination methods based on load curve of the electric energy meter that there is stealing risk.
This stealing determination methods based on load curve provided by the invention, comprises the steps:
S1. the historical data of electric energy meter is obtained; In conjunction with place trade power consumption feature and the history electricity consumption situation of electric energy meter owning user, obtain defluidization characteristic coefficient and the defluidization accounting alarm limit value of user; Supply voltage qualification rate index according to electric energy meter location determines decompression accounting alarm limit value; According to the power industry standard regulation for voltage decompression, obtain the decompression eigenvalue of electric energy meter;
S2. according to the step S1 data obtained, the maximum in 7 days current averages of electric energy meter and average daily current value are calculated;
S3. following formula is adopted to calculate the defluidization eigenvalue of electric energy meter:
Maximum in the current average of defluidization eigenvalue=7 day �� defluidization characteristic coefficient
S4. the data according to step S1 ~ S3, compare average daily current value and defluidization eigenvalue day by day, record the natural law N that average daily current value ratio defluidization eigenvalue is little; Load curve magnitude of voltage hourly for electric energy meter and decompression eigenvalue are compared, the hourage M that record load curve magnitude of voltage is less than decompression eigenvalue;
S5. following formula is adopted to calculate defluidization accounting and the decompression accounting of electric energy meter
Defluidization accounting=(N �� 24)/all hourages
Decompression accounting=all hourages of M/
S6. the decompression accounting that step S5 obtains and decompression accounting alarm limit value contrast, and defluidization accounting and defluidization accounting alarm limit value are contrasted, if any one value is beyond alarm limit value, then alerts, indicate this electric energy meter to would be likely to occur stealing risk.
The maximum calculated in 7 days current averages described in step S2, for adopting slippage recurrence method value, and asks for the maximum in 7 days current averages in conjunction with iterative search techniques.
Described slippage recurrence method value, for each one day value of recursion backward.
Novelty of the present invention propose decompression eigenvalue, defluidization eigenvalue, the concept of decompression characteristic coefficient and defluidization characteristic coefficient, the stealing risk judgment of electric energy meter is carried out based on the load curve of electric energy meter and historical data, defluidization eigenvalue all obtains from the historical data of electric energy meter, therefore the inventive method is not by the impact of electric energy meter current power state, and it is applicable to all types of power budget, applicable surface is extremely wide, and the inventive method can adopt computer to realize completely, calculating speed is fast, calculate accurately, can whole-course automation complete, it is accurately positioned the electric energy meter that there is stealing risk.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the present invention.
Fig. 2 is the calculation flow chart of the maximum in 7 days current averages of the present invention.
Fig. 3 is the defluidization alarm processing figure of the present invention.
Fig. 4 is the decompression alarm processing figure of the present invention.
Detailed description of the invention
It is illustrated in figure 1 the method flow diagram of the present invention: this stealing determination methods based on load curve provided by the invention, comprises the steps:
S1. the historical data of electric energy meter is obtained; In conjunction with place trade power consumption feature and the history electricity consumption situation of electric energy meter owning user, obtain defluidization characteristic coefficient and the defluidization accounting alarm limit value of user; Supply voltage qualification rate index according to electric energy meter location determines decompression accounting alarm limit value; According to the power industry standard regulation for voltage decompression, obtain the decompression eigenvalue of electric energy meter;
S2. according to the step S1 data obtained, the maximum in 7 days current averages of electric energy meter and average daily current value are calculated;
The described maximum calculated in 7 days current averages, for adopting slippage recurrence method value, one day value of recursion backward every time, and ask for the maximum in 7 days current averages in conjunction with iterative search techniques. Due to the electricity consumption characteristic and periodically of electricity consumer, it 7 days is a calculating cycle that the inventive method adopts, this calculating cyclic load electricity consumer with electrical feature and cycle.
Described average daily current maxima, for adopting recurrence method to ask for average daily current maxima.
S3. following formula is adopted to calculate the defluidization eigenvalue of electric energy meter:
Maximum in the current average of defluidization eigenvalue=7 day �� defluidization characteristic coefficient
S4. the data according to step S1 ~ S3, compare average daily current value and defluidization eigenvalue day by day, record the natural law N that average daily current value ratio defluidization eigenvalue is little; Load curve magnitude of voltage hourly for electric energy meter and decompression eigenvalue are compared, the hourage M that record load curve magnitude of voltage is less than decompression eigenvalue;
S5. following formula is adopted to calculate defluidization accounting and the decompression accounting of electric energy meter
Defluidization accounting=(N �� 24)/all hourages
Decompression accounting=all hourages of M/
S6. the decompression accounting that step S5 obtains and decompression accounting alarm limit value contrast, and defluidization accounting and defluidization accounting alarm limit value are contrasted, if any one value is beyond alarm limit value, then alerts, indicate this electric energy meter to would be likely to occur stealing risk.
The calculation flow chart of the maximum being illustrated in figure 2 in 7 days current averages of the present invention, specifically includes following steps:
1. step obtains the historical data of electric energy meter, obtains defluidization characteristic coefficient in conjunction with electric energy meter user place industry and history electricity consumption situation, and the maximum initializing 7 days current averages is 0;
2. step obtains 7 days load curves of electric energy meter;
7 days load curves that 2. 3. step obtain according to step, calculate 7 days current averages;
4. the maximum of 7 days current averages and 7 days current averages is compared by step, and the numerical value taking the greater is assigned to
Does 5. step judge that the historical data of electric energy meter has processed?
If historical data has processed, then obtain the maximum of final 7 day current average;
Complete if historical data is untreated, then the time period of 7 days load curves of the electric energy meter 2. step obtained recursion 1 day backward, retrieve 7 days load curves, continue to repeat step 3. with step 4., until historical data has processed.
It is illustrated in figure 3 the defluidization alarm processing figure of the present invention, specifically includes following steps:
1. step obtains the historical data of electric energy meter;
1. 2. step obtain electric energy meter historical data according to step, calculates the average daily electric current of each day;
The average daily electric current that 2. 3. step obtained by step and defluidization eigenvalue contrast, and add up the average daily electric current natural law N less than defluidization eigenvalue;
4. step adopts following formula to calculate defluidization accounting:
The total hourage in defluidization accounting=N �� 24/
5. step judges the size between defluidization accounting and defluidization accounting alarm limit value:
If defluidization accounting > defluidization accounting alarm limit value, then report to the police, indicate this electric energy meter to there is stealing risk;
If defluidization accounting < defluidization accounting alarm limit value, then terminate to judge.
It is illustrated in figure 4 the decompression alarm processing figure of the present invention, specifically includes following steps:
1. step obtains the historical data of electric energy meter;
1. 2. step obtain electric energy meter historical data according to step, obtains every daily load curve of electric energy meter;
Every daily load curve that 2. 3. step obtained by step and decompression eigenvalue contrast, add up per hour load curve less than the hourage M of decompression eigenvalue;
4. step adopts following formula to calculate decompression accounting:
Decompression accounting=total hourage of M/
5. step judges the size between decompression accounting and decompression accounting alarm limit value:
If decompression accounting > decompression accounting alarm limit value, then report to the police, indicate this electric energy meter to there is stealing risk;
If decompression accounting < decompression accounting alarm limit value, then terminate to judge.
Claims (3)
1., based on a stealing determination methods for load curve, comprise the steps:
S1. the historical data of electric energy meter is obtained; In conjunction with place trade power consumption feature and the history electricity consumption situation of electric energy meter owning user, obtain defluidization characteristic coefficient and the defluidization accounting alarm limit value of user; Supply voltage qualification rate index according to electric energy meter location determines decompression accounting alarm limit value; According to the power industry standard regulation for voltage decompression, obtain the decompression eigenvalue of electric energy meter;
S2. according to the step S1 data obtained, the average daily current value 7 of maximum value in 7 days current averages of electric energy meter is calculated;
S3. following formula is adopted to calculate the defluidization eigenvalue of electric energy meter:
Maximum in the current average of defluidization eigenvalue=7 day �� defluidization characteristic coefficient
S4. the data according to step S1 ~ S3, compare average daily current value and defluidization eigenvalue day by day, record the natural law N that average daily current value ratio defluidization eigenvalue is little; Load curve magnitude of voltage hourly for electric energy meter and decompression eigenvalue are compared, the hourage M that record load curve magnitude of voltage is less than decompression eigenvalue;
S5. following formula is adopted to calculate defluidization accounting and the decompression accounting of electric energy meter
Defluidization accounting=(N �� 24)/all hourages
Decompression accounting=all hourages of M/
S6. the decompression accounting that step S5 obtains and decompression accounting alarm limit value contrast, and defluidization accounting and defluidization accounting alarm limit value are contrasted, if any one value is beyond alarm limit value, then alerts, indicate this electric energy meter to would be likely to occur stealing risk.
2. the stealing determination methods based on load curve according to claim 1, it is characterized in that the maximum calculated in 7 days current averages described in step S2, for adopting slippage recurrence method value, and ask for the maximum in 7 days current averages in conjunction with iterative search techniques.
3. the stealing determination methods based on load curve according to claim 2, it is characterised in that described slippage recurrence method value, for each one day value of recursion backward.
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| CN201510987664.6A CN105631201A (en) | 2015-12-25 | 2015-12-25 | Load curve based electricity stealing determination method |
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| CN201510987664.6A CN105631201A (en) | 2015-12-25 | 2015-12-25 | Load curve based electricity stealing determination method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805464A (en) * | 2018-06-26 | 2018-11-13 | 华北水利水电大学 | A kind of reservoir message processing method based on DotNet technologies |
| CN111443226A (en) * | 2020-06-15 | 2020-07-24 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
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| CN201298056Y (en) * | 2008-11-14 | 2009-08-26 | 西北电网有限公司 | Multifunctional electronic electric energy meter |
| CN103792420A (en) * | 2014-01-26 | 2014-05-14 | 威胜集团有限公司 | Electricity larceny preventing and electricity utilization monitoring method based on load curves |
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| CN201298056Y (en) * | 2008-11-14 | 2009-08-26 | 西北电网有限公司 | Multifunctional electronic electric energy meter |
| CN203630186U (en) * | 2013-11-04 | 2014-06-04 | 长沙威胜信息技术有限公司 | Electricity-stealing prevention monitoring system based on distribution line fault indicators |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805464A (en) * | 2018-06-26 | 2018-11-13 | 华北水利水电大学 | A kind of reservoir message processing method based on DotNet technologies |
| CN111443226A (en) * | 2020-06-15 | 2020-07-24 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
| CN111443226B (en) * | 2020-06-15 | 2020-12-08 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
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Application publication date: 20160601 |