CN111474514B - Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current - Google Patents
Analysis method for discovering wiring leakage by using intelligent meter zero-live wire current Download PDFInfo
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
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Abstract
The invention discloses an analysis method for discovering wiring leakage by using zero and live line currents of an intelligent meter, which comprises the steps of firstly, time-sharing reading of current data of an electric energy meter, drawing a power utilization current curve, and determining a power utilization time period of a user through an algorithm of power utilization behavior analysis; the method comprises the steps of monitoring data of a live wire and a zero line of a user in a power utilization period in a key mode, and obtaining multiple groups of effective data points; and screening discrete variables of the effective data points, calculating the difference and the ratio of the live wire and zero line data, drawing a difference and ratio curve, judging the change rate of live wire and zero line current of the power consumption of the user, and screening the user which is most suitable for electric leakage judgment. The mode can carry out the site work according to the power consumption time interval of the user, and the condition that the user cannot detect without power consumption during the site work is avoided. The mode can provide effective remote screening work, provide evidence for field detection and reduce the workload of the field detection. The method can provide long-term monitoring effect and improve the time efficiency of electric leakage detection.
Description
Technical Field
The invention relates to an analysis method, in particular to an analysis method for finding wiring electric leakage by using intelligent meter zero and live wire currents.
Background
The current electric leakage inquiry mode is field detection, current conditions of the front end and the rear end of the electric energy meter are tested through an instrument to be compared, electricity must be used at home of a user during testing, and otherwise effective data cannot be obtained.
There are two types of defects to this approach:
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, and the detection can not be carried out on the field due to no power utilization.
2. The batch detection efficiency is low, the scheme can only be carried out on site in person, one user carries out detection and investigation, and the screening work efficiency is very low.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem of low field detection efficiency, the invention provides an analysis method for finding wiring leakage by using the current of a zero line and a live line of an intelligent meter.
The invention provides the following technical scheme:
an analysis method for discovering wiring leakage by using intelligent meter zero and live wire currents comprises the following steps:
firstly, time-sharing reading of current data of the electric energy meter is carried out, a power utilization current curve is drawn, and a power utilization time interval of a user is determined through an algorithm of power utilization behavior analysis;
secondly, the data of the live wire and the zero line of the user are monitored in a power utilization period, and a plurality of groups of effective data points are obtained;
and step three, screening discrete variables of the effective data points, calculating the difference value and the ratio of the live wire and zero line data, drawing a difference value curve and a ratio curve, judging the change rate of live wire and zero line current of power consumption of a user, judging whether the zero live wire has electric leakage abnormality, and screening the user which is most suitable for electric leakage judgment.
In the second step, the filtering process specifically comprises the following steps:
through reading the electric energy meter protocol support condition and the current voltage, whether the electric energy meter is a single-phase meter or a three-phase meter is judged, the three-phase meter does not support zero line current, the zero line current is filtered, and the collection process is carried out after the filtering process.
In the second step, the acquisition process specifically comprises:
s1, sequentially reading zero-live line current by each single-phase electric energy meter;
s2, judging whether the zero-fire wire has electric leakage abnormality or not, and recording the abnormality if the zero-fire wire has the electric leakage abnormality;
s3, recording if the abnormality exists, and counting the abnormal times; if not, recording and counting the normal times;
s4, if the abnormal times or the normal times meet the accumulation threshold, judging whether the electric leakage behavior occurs, and simultaneously resetting the accumulation times to restart the task;
and S5, if the leakage behavior occurs, generating a corresponding event alarm.
Further, in the third step, discrete variables are screened out by adopting a multi-time judgment mode, when the zero-fire line abnormity or the zero-fire line normal condition is accumulated for a reasonable number of times, the zero-fire line abnormity or the normal condition is considered to occur, and statistics is restarted.
Further, in the third step, whether the zero-fire line has the leakage abnormality is judged: through the zero live wire current that obtains, divide two kinds of judgments of zero line low-current and zero line high-current, the low-current: only the absolute current difference is judged; high current: and judging the current difference and the current ratio.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the electric energy meter electric leakage condition is analyzed and screened through the electric energy meter electricity utilization behavior data, the user electricity utilization behavior can be judged through long-term monitoring, the field work can be carried out according to the user electricity utilization time period, and the condition that the user cannot detect without electricity during the field work is avoided. 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 electric leakage detection.
Drawings
Fig. 1 is a flowchart of a leakage analysis method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings 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 of the 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, an analysis method for finding wiring leakage by using intelligent meter zero and live wire currents of the present invention includes the following steps:
firstly, time-sharing reading of current data of the electric energy meter is carried out, a power utilization current curve is drawn, and a power utilization time interval of a user is determined through an algorithm of power utilization behavior analysis;
the method for monitoring the electricity utilization period of the user comprises the following steps:
aiming at the single-phase electric energy meter, the live wire current data In of the electric energy meter is periodically read, and the current average value I is calculated by statisticsAverageIn)/n (= I1+.. In). When satisfied, In> (IAverageAt time 2), the hour Tm at which the meter reading time is present is determined, and the number of occurrences Hm +1 (0)<m<24) And taking 6 hours with the maximum current accumulated number Hm at 24 points per day as the next daily electricity utilization period.
(1) And the electricity utilization period is changed according to the increasing dynamic change of n in the algorithm, and n is reset when data initialization or month switching occurs.
(2) The method comprises the steps of monitoring data of a live wire and a zero line of a user in a power utilization period in a key mode, and acquiring multiple groups of effective data points, wherein the acquiring process comprises a filtering process and an acquisition process;
the judgment method for acquiring a plurality of groups of effective data points comprises the following steps: the accidental probability data are eliminated according to the power utilization characteristic threshold,
1. the maximum thresholds Imax of the live wire current and the zero line current are equal to the maximum current value of the electric energy meter specification, the maximum current value can be read, and if the electric energy meter is not allowed to read, the latest manufacturing standard in the national network standard specification is adopted: single phase table 30A.
2. The minimum threshold Imin of live wire current refers to the minimum power of common household electrical appliances: p =16W lamp 4, P/220V ≈ 0.3A.
3. Judging whether the zero line measurement is supported, if the accumulated 10 data ignition line currents In >0 and the zero line current In =0, judging that the zero line measurement is not supported, and all data are invalid data points; and if any zero line current In is greater than 0, judging that the zero line is the zero line metering support.
4. The result of the above judgment is the effective value.
(3) And screening discrete variables of the effective data points, calculating the difference and the ratio of the data of the live wire and the zero wire, drawing a curve of the difference and the ratio, judging the change rate of the current of the live wire and the zero wire for power consumption of the user, judging whether the zero wire has electric leakage abnormality or not, and screening the user which is most suitable for electric leakage judgment.
Remarking: the zero line current in the leakage situation may be infinitely small or close to 0, the maximum multiplying power is currently used by 100 times, and when the zero line current =0 or the ratio is greater than 100, the ratio is calculated as 100.
According to the basic principle: the electric energy meter has the function of supporting the metering of the zero line and the live wire. When the single-phase electric energy meter normally operates, the zero line current is larger than or equal to the live line current, if the live line current is larger than the zero line current, and the difference value between the zero line current and the live line current is larger than a certain threshold, and a certain ratio relation is formed, the situation that the ground leakage exists at the live line outlet end of the electric energy meter can be considered as belonging to the leakage situation.
And step two, judging whether the electric energy meter is a single-phase meter or a three-phase meter by reading the protocol support condition and the current voltage of the electric energy meter, wherein the three-phase meter does not support zero line current, filtering, and carrying out a collection process after a filtering process.
In the second step, the acquisition process specifically comprises:
s1, sequentially reading zero-live line current by each single-phase electric energy meter;
s2, judging whether the zero-fire wire has electric leakage abnormality or not, and recording the abnormality if the zero-fire wire has the electric leakage abnormality;
s3, recording if the abnormality exists, and counting the abnormal times; if not, recording and counting the normal times;
s4, if the abnormal times or the normal times meet the accumulation threshold, judging whether the electric leakage behavior occurs, and simultaneously resetting the accumulation times to restart the task;
and S5, if the leakage behavior occurs, generating a corresponding event alarm.
In the third step, whether the zero-fire wire has electric leakage abnormality is judged:
and the obtained zero-live line current is divided into two judgments of zero line low current and zero line high current, so that the judgment effectiveness is increased. Low current: only the absolute current difference is judged; high current: and judging the current difference and the current ratio.
The chance probability is excluded:
when all the collected zero line currents are always 0, the electric energy meter is considered not to support zero line current collection.
And the zero line current and the live line current cannot be simultaneously read during acquisition, and a carrier time error exists. And screening discrete variables by adopting a multi-judgment mode, and when the zero-fire line abnormity or the zero-fire line normal condition is accumulated for a reasonable number of times, considering that the zero-fire line abnormity or the normal condition occurs, and restarting the statistics.
And (3) increasing the monitoring probability:
aiming at the monitoring of the user in the peak period of power utilization, the condition that the current of the zero line is too small is reduced, and the invalid monitoring is reduced.
The method aims at the important monitoring of the electric energy meter with zero or live wire leakage abnormity, the monitoring is preferentially carried out in each period, and effective monitoring is increased.
And (3) judging the electric leakage behavior:
and when the number of the abnormal zero-line and fire-line leakage data points reaches the problem occurrence threshold, judging the leakage behavior.
In the third step, the difference and the ratio of the live wire data and the zero wire data are calculated, and whether the zero live wire has the leakage abnormity is judged as follows:
l: the current of the live line is used,
n: the current of the zero line is provided,
k1: the high and low current judgment threshold is determined to be 0.1A through 220 field cases,
k2: the difference threshold of the live wire and the zero wire in the low current state is determined to be 0.1A through 220 field cases,
k3: the difference value threshold of the live wire and the zero wire in the high current state,
k4: the ratio threshold of the live wire and the zero wire in a high current state,
and (3) judging the mode:
low current mode: k2< L-N, the data point is a suspected leakage data point;
high current mode: k3< L-N & & K4< L/N, the data point is a suspected leakage data point;
the K value is determined by the leakage electric energy coefficient of the practical party, and the K value refers to K1, K2 and K3 … … Kn.
K2= 2000/(24 × 220) if the leakage coefficient is 2 degrees/1 day; k3 =2000 × K4/(24 × 220);
k4 represents the line loss rate ([ delta ] K) +1 in the cell, i.e., K4= [ delta ] K + 1.
And (3) statistical value:
x: suspected leakage data point statistics
Y: normal data point statistics
Assuming that the suspected data is half of the normal data, X/Y =0.5, i.e. Y is taken to be 2X,
and if the total number of the X + Y statistical data points has more than or equal to X suspected leakage data points, judging the electric energy meter to be suspected leakage. And if more than Y normal data points exist, judging the electric energy meter to be normal.
The X and Y values are determined by the acquisition period of the practical party. If 24 data points are collected on 1 day, then X =8 and Y = 16.
It is common for those skilled in the art to use field application monitoring devices to compare live and neutral data in real time on site. The difficulty of the method is that 1, before field detection, the power utilization probability of a user cannot be determined; 2. the efficiency of the user-based troubleshooting is low, and the field work time of more than 1 day is required for users in one distribution area 200.
The method has the advantages that: 1. a large probability of power utilization time can be analyzed; 2. the data source has long-term monitoring capability in an accumulation mode; 3. a large amount of human resources are saved by the screening mode.
The person skilled in the art does not easily think of the invention: current power collection systems use power data collection as a primary service, and current sampling is not within its service range. The data platform does not have big data analysis service application and local edge computing service capability.
The innovation point of the invention is to fully utilize the existing resources and provide a mode which accords with the current judgment principle and replaces the manual checking mode with the machine language monitoring and screening mode. The method fully inspects the principles of the power utilization environment, the power utilization habits and the measurement of the measurement units, summarizes the regularity of the large probability, provides a screening method with correct large probability in the modes of data analysis and data calculation, and saves manpower and material resources.
According to the invention, the electric energy meter electric leakage condition is analyzed and screened through the electric energy meter electricity utilization behavior data, the user electricity utilization behavior can be judged through long-term monitoring, the field work can be carried out according to the user electricity utilization time period, and the condition that the user cannot detect without electricity during the field work is avoided. 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 electric leakage detection.
Claims (3)
1. An analysis method for finding wiring leakage by using intelligent meter zero and live wire currents is characterized by comprising the following steps:
firstly, time-sharing reading of current data of the electric energy meter is carried out, a power utilization current curve is drawn, and a power utilization time interval of a user is determined through an algorithm of power utilization behavior analysis;
secondly, monitoring the live wire and zero line data of the user in a power utilization period in a key mode, and acquiring multiple groups of effective data points, wherein the acquiring process comprises a filtering process and an acquisition process;
step three, screening discrete variables of effective data points, calculating the difference value and the ratio of the data of the live wire and the zero line, drawing a difference value curve and a ratio curve, and judging whether the zero-live wire has electric leakage abnormity, wherein the zero-live wire is judged to be low current and high current by the obtained zero-live wire current: only the absolute current difference is judged; high current: judging the current difference and the current ratio; and finally, screening the users which are most consistent with the electric leakage judgment.
2. The method for analyzing the discovery of the leakage of the wiring by using the current of the intelligent meter, which is obtained by the following steps, according to claim 1: in the second step, the filtering process specifically comprises the following steps:
through reading the electric energy meter protocol support condition and the current voltage, whether the electric energy meter is a single-phase meter or a three-phase meter is judged, the three-phase meter does not support zero line current, the zero line current is filtered, and the collection process is carried out after the filtering process.
3. The method for analyzing the discovery of the leakage of the wiring by using the current of the intelligent meter, which is obtained by the following steps, according to claim 1: in the third step, discrete variables are screened out by adopting a mode of multiple judgment, and when the zero-fire line abnormity or the zero-fire line normal condition is accumulated for a reasonable number of times, the zero-fire line abnormity or the normal condition is considered to occur, and the statistics is restarted.
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| CN112540210B (en) * | 2020-12-04 | 2023-10-31 | 天目数据(福建)科技有限公司 | Method for identifying abnormal users of zero line and live line, method for identifying anti-electricity-stealing and storage medium |
| CN113126002B (en) * | 2021-04-07 | 2023-03-17 | 辰安天泽智联技术有限公司 | Method for detecting installation mode of building electrical system |
| CN113933585A (en) * | 2021-11-26 | 2022-01-14 | 长沙理工大学 | Detection method for zero-breaking electricity-stealing users in electricity leakage platform area based on Euclidean distance |
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