CN111443226A - Electricity stealing analysis method utilizing low current record of three-phase intelligent meter - Google Patents
Electricity stealing analysis method utilizing low current record of three-phase intelligent meter Download PDFInfo
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- CN111443226A CN111443226A CN202010539683.3A CN202010539683A CN111443226A CN 111443226 A CN111443226 A CN 111443226A CN 202010539683 A CN202010539683 A CN 202010539683A CN 111443226 A CN111443226 A CN 111443226A
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/02—Constructional details
- G01R11/24—Arrangements for avoiding or indicating fraudulent use
Abstract
The invention discloses a power stealing analysis method by utilizing a low current record of a three-phase intelligent meter, which comprises the steps of monitoring the power consumption time period of a user, generating a power consumption time curve of the user and providing a time basis for field inspection; and acquiring a plurality of groups of effective data points before and after the current loss state is monitored in a power utilization period, comparing whether major power change is generated before and after the current loss, and analyzing the possibility of electricity stealing. The mode can judge the electricity utilization habit of the user through long-term monitoring, and can carry out field work according to the electricity utilization period of the user. This mode can provide effectual long-range screening work, provides the evidence for the witnessed inspections, reduces witnessed inspections' work load, can be under construction simultaneously on a large scale, improves the efficiency of construction. The method can provide long-term monitoring effect and improve the time efficiency of checking suspected wiring electricity stealing.
Description
Technical Field
The invention relates to an electricity stealing analysis method, in particular to an electricity stealing analysis method utilizing a low current record of a three-phase intelligent meter.
Background
The current three-phase table external connection steals the condition that the electricity leads to losing the current, and the inquiry mode is field detection, needs the scene to open the table case and observes whether there is the wiring to steal the electricity.
Although this situation is a serious doubtful user, the following disadvantages exist, resulting in a low field check rate.
1. The power utilization condition is not clear, the power utilization condition cannot be determined in advance, the maximum possible power utilization can be realized only by estimating the field detection time through experience, the power stealing time is mostly at night, and the situation that the power is not used in the period of time of a user can be found on site possibly.
2. The repeated rate of crime is high, the period of the field detection mode is too long, and the user can find out the regularity of the field detection.
Disclosure of Invention
In order to solve the problem of low field detection efficiency, the invention provides an electricity stealing analysis method by using a low current record of a three-phase intelligent meter. Effectively improve the on-the-spot check rate.
A power stealing analysis method utilizing a three-phase intelligent meter low current record comprises the following steps:
s1, monitoring the power consumption time period of the user, generating a power consumption time curve of the user and providing a time basis for field inspection;
s2, mainly monitoring before and after the current loss state in the power utilization period, acquiring multiple groups of effective data points, and comparing whether major power changes occur before and after the current loss;
s3, reading the current loss state of the electric energy meter, judging the occurrence time of the current loss state, and if the occurrence time of the current loss state exists and the end time does not exist, judging that the current loss state is the current occurrence and belongs to effective data;
s4, when the current loss state is valid data, judging the current loss state occurrence time, and judging whether the occurrence time is in the power utilization time period of S3, if so, the current loss state accords with the effective standard of the power stealing analysis, and entering the next analysis; if the data is not in the power utilization time period, judging the data to be invalid data;
s5, when the current state and the power consumption time period meet the judgment standard, selecting the average power P1 of the power consumption time period 2 hours before the current state occurrence time, and selecting the average power P2 of the power consumption time period 2 hours after the current state occurrence time;
if the P1/P2 is more than 150%, suspicion of electricity stealing exists, and the electricity stealing time is the occurrence time of the current loss state;
if 150% > P1/P2>100%, recording suspected data, and checking and verifying the time on site to be the occurrence time of the fluid loss state;
if P1/P2< =100%, the data is invalid.
In step S1, the power consumption period of the user is monitored,
reading a 24-point power load curve of the three-phase electric energy meter in the previous day, counting and calculating a power average value P0, taking an absolute value of current values P1-P24 in 24 hours, and comparing Pn with P0.
If Pn > P0 and the number is more than 12, selecting continuous Pn as the electricity utilization time interval, such as P1P2P3, and non-continuous Pn not as the electricity utilization time interval; if Pn > P0, the number is less than or equal to 12, when Pn < P0, Δ P = P0-Pn, the Pn with the smallest Δ P is supplemented as 13 data points, and continuous Pn is selected as the power utilization time interval.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, a user electricity utilization time curve is generated by monitoring the user electricity utilization time period; and acquiring a plurality of groups of effective data points before and after the current loss state is monitored in a power utilization period, comparing whether major power change is generated before and after the current loss, and analyzing the possibility of electricity stealing. The method judges the power utilization habits of the users through long-term monitoring, and can carry out field work according to the power utilization time periods of the users; the long-term monitoring function improves the time efficiency of checking suspected wiring electricity stealing.
Drawings
FIG. 1 is a flow chart of a method for analyzing electricity stealing according to the present invention.
Detailed Description
The following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the electricity larceny analysis method using the low current record of the three-phase smart meter of the present invention includes the following steps:
s1, monitoring the power consumption time period of the user, generating a power consumption time curve of the user and providing a time basis for field inspection;
s2, mainly monitoring before and after the current loss state in the power utilization period, acquiring multiple groups of effective data points, and comparing whether major power changes occur before and after the current loss;
s3, reading the current loss state of the electric energy meter, judging the occurrence time of the current loss state, and if the occurrence time of the current loss state exists and the end time does not exist, judging that the current loss state is the current occurrence and belongs to effective data;
s4, when the current loss state is valid data, judging the current loss state occurrence time, and judging whether the occurrence time is in the power utilization time period of S3, if so, the current loss state accords with the effective standard of the power stealing analysis, and entering the next analysis; if the data is not in the power utilization time period, judging the data to be invalid data;
s5, when the current state and the power consumption time period meet the judgment standard, selecting the average power P1 of the power consumption time period 2 hours before the current state occurrence time, and selecting the average power P2 of the power consumption time period 2 hours after the current state occurrence time;
if the P1/P2 is more than 150%, suspicion of electricity stealing exists, and the electricity stealing time is the occurrence time of the current loss state;
if 150% > P1/P2>100%, recording suspected data, and checking and verifying the time on site to be the occurrence time of the fluid loss state;
if P1/P2< =100%, the data is invalid.
In step S1, the power consumption period of the user is monitored,
for the three-phase electric energy meter, reading a 24-point power load curve (specified by state network 09 electric energy meter, requiring the three-phase electric energy meter to support load curve freezing data) of the electric energy meter last day, and counting and calculating a power average value P0. The absolute value of current values P1-P24 in 24 hours is taken, and Pn and P0 are compared.
If Pn > P0, the number is greater than 12, continuous Pn is selected as the power consumption period, such as P1P2P3, and discontinuous Pn is not selected as the power consumption period.
If Pn > P0, the number is less than or equal to 12, when Pn < P0, Δ P = P0-Pn, the Pn with the smallest Δ P is supplemented as 13 data points, and continuous Pn is selected as the power utilization time interval.
According to the invention, the power utilization time period of the user is monitored to generate a power utilization time curve of the user, and the power utilization time curve is checked on site according to the time; and acquiring a plurality of groups of effective data points before and after the current loss state is monitored in a power utilization period, comparing whether major power change is generated before and after the current loss, and analyzing the possibility of electricity stealing.
General personnel in the industry are limited to a main transportation and collection station system, and the system can only perform integral data analysis according to the day, namely the daily data integrity of each collection unit must be ensured, the task allocation of a single collection unit cannot be performed, and the server cannot bear the data. Because the current operation and collection system cannot achieve 1 hour period data collection, the electricity utilization time period detection method cannot be realized.
The localized devices are all handheld devices and do not have the capability of long-term monitoring.
The invention is analyzed by a single acquisition unit, does not give consideration to the integrity of daily data, and can judge and analyze by the accumulation of multi-day and multi-level data. In fact, the task degradation use mode of the operation and mining system is changed from a flexible grading task which cannot be realized by the operation and mining system to a local edge calculation.
In the collection task of the current operation and collection system, the daily data integrity of each collection unit must be ensured, the task allocation of a single collection unit cannot be carried out, and the server cannot bear the task. Because the current operation and acquisition system cannot acquire data in a 1-hour period, the power change comparison method cannot be realized.
The invention realizes the analysis of the electricity stealing method by acquiring a plurality of groups of effective data points and comparing whether major power changes are generated before and after the current loss.
This mode is through long-term monitoring, judges user's power consumption habit, can carry out the site work according to user's power consumption period, avoids the user not to use the power detection failure condition during the site work.
This mode can provide effectual long-range screening work, provides the evidence for the witnessed inspections, reduces witnessed inspections' work load, can be under construction simultaneously on a large scale, improves the efficiency of construction.
The method can provide long-term monitoring effect and improve the time efficiency of checking suspected wiring electricity stealing.
Claims (3)
1. The electricity stealing analysis method utilizing the low current record of the three-phase intelligent meter is characterized by comprising the following steps of:
s1, monitoring the power consumption time period of the user, generating a power consumption time curve of the user and providing a time basis for field inspection;
s2, mainly monitoring before and after the current loss state in the power utilization period, acquiring multiple groups of effective data points, and comparing whether major power changes occur before and after the current loss;
s3, reading the current loss state of the electric energy meter, judging the occurrence time of the current loss state, and if the occurrence time of the current loss state exists and the end time does not exist, judging that the current loss state is the current occurrence and belongs to effective data;
s4, when the current loss state is valid data, judging the current loss state occurrence time, and judging whether the occurrence time is in the power utilization time period of S3, if so, the current loss state accords with the effective standard of the power stealing analysis, and entering the next analysis; if the data is not in the power utilization time period, judging the data to be invalid data;
s5, when the current state and the power consumption time period meet the judgment standard, selecting the average power P1 of the power consumption time period 2 hours before the current state occurrence time, and selecting the average power P2 of the power consumption time period 2 hours after the current state occurrence time;
if the P1/P2 is more than 150%, suspicion of electricity stealing exists, and the electricity stealing time is the occurrence time of the current loss state;
if 150% > P1/P2>100%, recording suspected data, and checking and verifying the time on site to be the occurrence time of the fluid loss state;
if P1/P2< =100%, the data is invalid.
2. The method for analyzing electricity stealing according to claim 1, wherein the method comprises the following steps: in step S1, the power consumption period of the user is monitored,
reading a 24-point power load curve of the three-phase electric energy meter in the previous day, counting and calculating a power average value P0, taking an absolute value of current values P1-P24 in 24 hours, and comparing Pn with P0.
3. The method for analyzing electricity stealing according to claim 2, wherein the method comprises the following steps: if Pn > P0 and the number is more than 12, selecting continuous Pn as the electricity utilization time interval, such as P1P2P3, and non-continuous Pn not as the electricity utilization time interval; if Pn > P0, the number is less than or equal to 12, when Pn < P0, Δ P = P0-Pn, the Pn with the smallest Δ P is supplemented as 13 data points, and continuous Pn is selected as the power utilization time interval.
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| CN116840606A (en) * | 2023-09-01 | 2023-10-03 | 国网浙江省电力有限公司余姚市供电公司 | Power consumption abnormality monitoring method based on non-invasive load |
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