CN114002468A - Low-voltage electricity stealing alarm method and system - Google Patents
Low-voltage electricity stealing alarm method and system Download PDFInfo
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- CN114002468A CN114002468A CN202111263429.6A CN202111263429A CN114002468A CN 114002468 A CN114002468 A CN 114002468A CN 202111263429 A CN202111263429 A CN 202111263429A CN 114002468 A CN114002468 A CN 114002468A
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Abstract
The application discloses a low-voltage electricity stealing alarm method and system, and the method comprises the following steps: collecting zero line current and live line current of a low-voltage user at set time intervals to form a current data set; screening data with inconsistent current values from the current data set for preprocessing to obtain a current ratio; comparing whether an electric quantity difference value exists between the electric quantity of the month before the cover of the electric energy meter is opened and the electric quantity of the current collection current data set in the month; if yes, establishing a power stealing probability calculation model according to the current ratio and the electric quantity difference value; and alarming according to the electricity stealing probability. The system comprises: the device comprises a current data acquisition module, a screening module, a preprocessing module, a judgment module, an electricity stealing probability calculation model establishing module and an alarm module. Through the method and the device, automatic electricity stealing monitoring can be realized, and the accuracy of current data processing is improved, so that the accuracy of electricity stealing monitoring is improved.
Description
Technical Field
The application relates to the technical field of power stealing monitoring of a power supply system, in particular to a low-voltage power stealing alarming method and system.
Background
With the rapid development of economy in China, the demand of electrical loads is rapidly increased. Accordingly, driven by economic benefits, the electricity stealing behaviors of some lawless persons cause national electric energy loss and disturb normal power supply order. Therefore, how to monitor and alarm the electricity stealing behavior is an important technical problem.
At present, a method for monitoring electricity stealing behaviors of low-voltage users usually performs manual extraction and recall measurement according to data on an electricity information acquisition platform, so as to determine specific metering points where suspicious electricity stealing behaviors occur. Specifically, the electricity consumption information acquisition platform is last to store a large amount of electric energy data, can supply to inquire at any time, and when stealing the electricity action and taking place, the inconsistent condition of size can appear in the zero line electric current and the live wire electric current of current measurement point, through artifical inquiry electricity consumption information acquisition platform, after extracting these inconsistent data, calls for the survey contrast again to the measurement point that probably has the electricity of stealing action is locked.
However, in the current method for monitoring the electricity stealing behavior of the low-voltage user, because manual screening and recall are needed, the accuracy of processing data is poor, and errors are easy to occur, so that the accuracy of monitoring the electricity stealing behavior is not high enough.
Disclosure of Invention
The application provides a low-voltage electricity stealing alarm method and system, which aim to solve the problem that monitoring accuracy of electricity stealing behavior in the prior art is not high enough.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
a low voltage electricity theft alarm method, the method comprising:
acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set;
screening out current data with inconsistent zero line current values and live line current values of the same low-voltage user from the current data set;
preprocessing current data with inconsistent zero line current values and live line current values of the same low-voltage user to obtain a current ratio of the live line current values and the zero line current values of each low-voltage user, wherein the current ratio is in a percentage form;
comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set, and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month;
if yes, establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electric quantity difference value;
and according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model, carrying out electricity stealing alarm.
Optionally, the set time is 1 hour.
Optionally, the current data of the inconsistent zero line current value and live line current value of the same low-voltage user is preprocessed to obtain the current ratio of the live line current value and the zero line current value of each low-voltage user, and the method includes:
the firing line current values of 24 time points on the day before data acquisition are defined as follows: l01, L02 … … L024, the zero line current values of 24 time points on the day before data acquisition are respectively: n01, N02 … … N024, the live wire current values at 24 time points on the day of data acquisition are respectively: l11 and L12 … … L124, the values of the zero line current at 24 time points on the day are respectively: n11, N12 … … N124;
for each low-voltage user, respectively calculating the current ratio of the live wire current value and the zero wire current value at any time point of the previous day and the current day, and defining the current ratio of each time point of the previous day as follows: m01, M02 … … M024, the current ratios at each time point of the day are: m11, M12 … … M124;
extracting the molecules of the current ratio in percentage form, and only retaining the integral part to obtain the current ratio after pretreatment.
Optionally, the method for establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electricity quantity difference value includes:
defining the initial power stealing probability to be 50%;
respectively calculating the difference value of the current ratio of the same time period on the previous day and the current day;
judging whether the absolute values of the difference values of any current ratios are less than or equal to 3 percent;
if yes, increasing the initial electricity stealing probability by 5 percent, and acquiring a first electricity stealing probability;
if not, judging that electricity stealing does not occur;
calculating a first current variance according to the current ratio of each pretreated time point on the previous day, wherein the first current variance is the current variance corresponding to the previous day;
calculating a second current variance according to the current ratio preprocessed at each time point on the current day, wherein the second current variance is the current variance corresponding to the current day;
the value range of the current variance is set as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance;
judging whether the first current variance and the second current variance are in the same current variance value range or not;
if yes, increasing the first electricity stealing probability by 30% and acquiring a second electricity stealing probability;
if not, judging that no electricity stealing happens.
Optionally, the first variance threshold is 2, and the second variance threshold is 9.
Optionally, after increasing the first power stealing probability by 30% and obtaining the second power stealing probability, the method further includes:
judging whether a low-voltage user matched with current data with inconsistent zero line current values and live line current values has an electric energy meter uncapping record or not;
if so, judging whether the time difference between the uncapping occurrence time of the current low-voltage user and the uncapping finishing time is less than or equal to a set time threshold according to the uncapping record of the electric energy meter of the current low-voltage user;
if yes, increasing the second electricity stealing probability by 5% and obtaining a third electricity stealing probability.
Alternatively, when the set time is 1 hour, the set time threshold is 10 minutes.
Optionally, the method for performing electricity stealing alarm according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model includes:
when the second electricity stealing probability is more than or equal to 80%, carrying out electricity stealing alarm;
and recording the electricity utilization data of the low-voltage user matched with the second electricity stealing probability.
A low voltage electricity theft alarm system, the system comprising:
the current data acquisition module is used for acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set;
the screening module is used for screening out current data with inconsistent zero line current values and live line current values of the same low-voltage user from the current data set;
the preprocessing module is used for preprocessing current data of the same low-voltage user, wherein the zero line current value and the live line current value are inconsistent, and acquiring the current ratio of the live line current value and the zero line current value of each low-voltage user, wherein the current ratio is in a percentage form;
the judging module is used for comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month;
the electricity stealing probability calculation model establishing module is used for establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electricity difference value when the electricity quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter and the electricity quantity of the current month of the collected current data set have the electricity difference value;
and the alarm module is used for carrying out electricity stealing alarm according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model.
Optionally, the power stealing probability calculation model establishing module includes:
a defining unit for defining an initial power stealing probability to be 50%;
the current ratio difference calculation unit is used for calculating the difference of the current ratios of the same time periods on the previous day and the current day respectively;
the first judgment unit is used for judging whether the absolute value of any current ratio difference is less than or equal to 3 percent;
the first electricity stealing probability calculating unit is used for increasing the initial electricity stealing probability by 5% when the absolute value of any current ratio difference is less than or equal to 3%, and acquiring a first electricity stealing probability;
the first current variance calculating unit is used for calculating a first current variance according to the current ratio of each pretreated current at each time point on the previous day, and the first current variance is the current variance corresponding to the previous day;
the second current variance calculating unit is used for calculating a second current variance according to the current ratio preprocessed at each time point on the day, and the second current variance is the current variance corresponding to the day;
the setting unit is used for setting the value range of the current variance as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance;
the second judging unit is used for judging whether the first current variance and the second current variance are in the same current variance value range or not;
and the second electricity stealing probability calculating unit is used for increasing the first electricity stealing probability by 30% when the first current variance and the second current variance are in the same current variance value range, and acquiring the second electricity stealing probability.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the application provides a low-voltage electricity stealing alarm method, which comprises the steps of firstly collecting zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set, then screening current data with inconsistent zero line current values and live line current values for the same low-voltage user, preprocessing the current data, judging whether an electricity quantity difference value exists between electricity quantity of a month to which an electric energy meter belongs before the cover of the electric energy meter and electricity quantity of the month of the collected current data set, judging that electricity stealing does not occur if no electricity quantity difference value exists, and establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electricity quantity difference value if the electricity quantity difference value exists; and finally, according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model, carrying out electricity stealing alarm. According to the low-voltage electricity stealing alarm method, the suspicious data are preprocessed, and the influence of the electric quantity difference value on the electricity stealing probability is considered, so that the accuracy of current data processing is improved, and the accuracy of electricity stealing monitoring is improved. Moreover, in the embodiment, by establishing the low-voltage user electricity stealing probability calculation model, automation of electricity stealing monitoring can be realized, manual screening and data processing are avoided, and the accuracy of current data processing is further improved, so that the accuracy of electricity stealing monitoring is improved. In addition, the current data set is formed by collecting the zero line current values and the live line current values of all current low-voltage users at set intervals in the embodiment, and the current data collection mode with timing can not only find abnormal current data in time, but also realize active electricity stealing monitoring.
According to the embodiment, when a low-voltage user electricity stealing probability calculation model is established according to the current ratio and the electric quantity difference, the first electricity stealing probability and the second electricity stealing probability are respectively calculated according to the difference value of the current ratio after pretreatment of each corresponding time point on the previous day and the current day and whether the current variance on the previous day and the current day falls into the same current variance value range, the third electricity stealing probability is further obtained according to the uncovering record of the electric energy meter, and finally the third electricity stealing probability is taken as the final electricity stealing probability.
The application also provides an alarm system is stolen to low pressure, and this system mainly includes: the device comprises a current data acquisition module, a screening module, a preprocessing module, a judgment module, an electricity stealing probability calculation model establishing module and an alarm module. The current data set can be established through the current data acquisition module, the initiative of electricity stealing monitoring is realized, and therefore the accuracy of electricity stealing monitoring is improved. The current data of the inconsistent zero line current numerical value and the live line current numerical value of the same low-voltage user are preprocessed through the preprocessing module, so that the current ratio of the live line current numerical value and the zero line current numerical value in a percentage mode is obtained, and a basis is provided for subsequently establishing a power stealing probability calculation model. Through the judging module, the influence of the electric quantity difference value on the electricity stealing probability can be added, so that the accuracy of monitoring the electricity stealing probability is improved. Through the setting of the electricity stealing probability calculation model establishing module, automatic electricity stealing probability calculation can be realized, and therefore electricity stealing monitoring efficiency is greatly improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a low-voltage electricity-stealing alarm method provided by an embodiment of the present application;
fig. 2 is a schematic structural diagram of a low-voltage electricity-stealing alarm system provided in an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
For a better understanding of the present application, embodiments of the present application are explained in detail below with reference to the accompanying drawings.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a low-voltage electricity larceny alarm method provided in an embodiment of the present application. As shown in fig. 1, the low-voltage electricity-stealing alarm method in this embodiment mainly includes the following steps:
s1: and acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set.
In this embodiment, the set time is 1 hour, and a method of collecting data at an integral point every day may be adopted. Specifically, the current zero line current values and the current live line current values of all the current low-voltage users are relayed by the acquisition system main station at a whole point every day. The specific relay method is a relay meter reading method in the prior art.
After composing the current data set, step S2 is executed: and current data with inconsistent zero line current values and live line current values of the same low-voltage user are screened out from the current data set.
With continued reference to fig. 1, after the data with inconsistent current data values are screened out, step S3 is executed: and preprocessing current data with inconsistent zero line current values and live line current values of the same low-voltage user to obtain a current ratio of the live line current values and the zero line current values of each low-voltage user, wherein the current ratio adopts a percentage form.
Specifically, step S3 includes the following processes:
s31: the firing line current values of 24 time points on the day before data acquisition are defined as follows: l01, L02 … … L024, the zero line current values of 24 time points on the day before data acquisition are respectively: n01, N02 … … N024, the live wire current values at 24 time points on the day of data acquisition are respectively: l11 and L12 … … L124, the values of the zero line current at 24 time points on the day are respectively: n11, N12 … … N124.
Taking the live wire current data values at 24 time points in the previous day as an example, the method for defining the current data values in this embodiment specifically includes: the live line current data value on the previous day 1 was L01, the live line current data value on 2 was L02, the live line current data value on 3 was L03, and the live line current data value on … … 24 was L024.
S32: for each low-voltage user, respectively calculating the current ratio of the live wire current value and the zero wire current value at any time point of the previous day and the current day, and defining the current ratio of each time point of the previous day as follows: m01, M02 … … M024, the current ratios at each time point of the day are: m11, M12 … … M124.
That is, L01/N01 ═ M01, L02/N02 ═ M02, L03/N03 ═ M03, and … … L024/N024 ═ M024 were calculated, respectively. L11/N11-M11, L12/N12-M12, L13/N13-M13 … … L124/N124-M124.
S33: and extracting the molecules of the current ratio in a percentage mode, and only keeping an integral part to obtain the current ratio after pretreatment.
The current ratio in this embodiment is in a percentage form, and after each current ratio is calculated, the current ratio in each percentage form is multiplied by 100, that is, a molecule of the current ratio in the percentage form is extracted, only an integer part of the molecule is retained, and no decimal is retained, so that the preprocessed current ratio is obtained, and the preprocessed current ratio is used for calculating subsequent current variance, which is beneficial to improving the calculation efficiency and the calculation convenience.
After preprocessing the current data of the same low-voltage user with inconsistent zero line current value and live line current value, executing step S4: and comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set, and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month.
And if the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened and the electric quantity of the current month of the collected current data set do not have electric quantity difference values, judging that no electricity stealing behavior occurs at present.
If the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened and the electric quantity of the current collection data set in the month have electric quantity difference values, executing the step S5: and establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electric quantity difference value.
Specifically, step S5 includes the following processes:
s50: the initial probability of electricity stealing is defined to be 50%.
S51: and respectively calculating the difference of the current ratios of the same time periods on the previous day and the current day.
That is, the difference between M01 and M11, and between M02 and M12 … …, M024 and M124, respectively, is calculated for a total of 24 current ratios.
S52: and judging whether the absolute values of the difference values of any current ratios are less than or equal to 3 percent.
And aiming at the difference values of the 24 current ratios, judging whether the absolute value of the difference value of each current ratio is less than or equal to 3 percent one by one.
If the absolute values of the difference values of the 24 current ratios are all less than or equal to 3%, executing step S53: and increasing the initial power stealing probability by 5% to obtain a first power stealing probability.
And if the absolute value of the difference of the current ratios is more than 3%, judging that electricity stealing does not occur.
After the first power stealing probability is acquired, step S54 is executed: and calculating a first current variance according to the current ratio of each pretreated current at each time point on the previous day, wherein the first current variance is the current variance corresponding to the previous day.
In step S33, the current ratio after pretreatment at each time point on the previous day has 24 values, and a first current variance S1 is calculated based on the 24 values.
S55: and calculating to obtain a second current variance according to the current ratio preprocessed at each time point on the current day, wherein the second current variance is the current variance corresponding to the current day.
Similarly, a second current variance S2 is calculated according to 24 values of the current ratio pre-processed at each time point on the day in step S33.
S56: the value range of the current variance is set as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance.
In this embodiment, the first variance threshold value is 2, and the second variance threshold value is 9.
S57: and judging whether the first current variance and the second current variance are in the same current variance value range.
If the first current variance and the second current variance are within the same current variance range, step S58 is executed: and increasing the first electricity stealing probability by 30% to obtain a second electricity stealing probability. Otherwise, keeping the first power stealing probability unchanged.
Further, after step S58 in this embodiment, the following process is further included:
s59: and judging whether the low-voltage user matched with the current data with inconsistent zero line current values and live line current values has the uncovering record of the electric energy meter.
And if the low-voltage user matched with the current data with inconsistent zero line current values and live line current values does not have the electric energy meter uncapping record, judging that the electric energy meter uncapping record does not influence the electricity stealing probability, namely, the electric energy meter uncapping record is not considered in a subsequent electricity stealing probability calculation model.
If the record of uncovering the electric energy meter exists, executing step S510: and judging whether the time difference between the uncapping occurrence time of the current low-voltage user and the uncapping finishing time is less than or equal to a set time threshold or not according to the uncapping record of the electric energy meter of the current low-voltage user.
If the time difference between the uncapping occurrence time of the current low-voltage user and the uncapping end time is less than or equal to the set time threshold, executing the step S511: and increasing the second electricity stealing probability by 5 percent to obtain a third electricity stealing probability.
In the present embodiment, when the set time in step S1 is 1 hour, the set time threshold is 10 minutes. In practical applications, the set time threshold can be flexibly changed according to the set time.
Namely, when the time difference between the uncapping occurrence time of the low-voltage user and the uncapping end time is less than or equal to 10 minutes, the second electricity stealing probability is increased by 5 percent, and the second electricity stealing probability is corrected to be closer to the actual situation.
And if the time difference between the uncapping occurrence time of the current low-voltage user and the uncapping finishing time is greater than the set time threshold, maintaining the second electricity stealing probability.
With continued reference to fig. 1, after the low-voltage user electricity stealing probability calculation model is established, step S6 is executed: and according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model, carrying out electricity stealing alarm.
Namely, the electricity stealing alarm is carried out according to the second electricity stealing probability. Specifically, step S6 includes the following processes:
s61: when the second electricity stealing probability is more than or equal to 80%, carrying out electricity stealing alarm;
and when the second electricity stealing probability is more than or equal to 80%, judging that the current low-voltage user is a suspected electricity stealing user, and triggering an alarm according to the second electricity stealing probability.
And if the third electricity stealing probability is considered, carrying out electricity stealing alarm when the third electricity stealing probability is more than or equal to 80 percent.
S62: and recording the electricity utilization data of the low-voltage user matched with the second electricity stealing probability.
By recording abnormal electricity utilization data, effective basis can be provided for follow-up troubleshooting, and therefore the fault processing efficiency is improved.
Example two
Referring to fig. 2 on the basis of the embodiment shown in fig. 1, fig. 2 is a schematic structural diagram of a low-voltage electricity-stealing alarm system provided by the embodiment of the present application. As can be seen from fig. 2, the low voltage electricity stealing alarm system in this embodiment mainly includes: the device comprises a current data acquisition module, a screening module, a preprocessing module, a judgment module, an electricity stealing probability calculation model establishing module and an alarm module.
The current data acquisition module is used for acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set; the screening module is used for screening out current data with inconsistent zero line current values and live line current values of the same low-voltage user from the current data set; the preprocessing module is used for preprocessing current data of the same low-voltage user, wherein the zero line current value and the live line current value are inconsistent, so as to obtain the current ratio of the live line current value and the zero line current value of each low-voltage user, and the current ratio adopts a percentage form; the judging module is used for comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month; the electricity stealing probability calculation model establishing module is used for establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electricity difference value when the electricity quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter and the electricity quantity of the current month of the collected current data set have the electricity difference value; and the alarm module is used for carrying out electricity stealing alarm according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model.
Further, the electricity stealing probability calculation model building module comprises: the device comprises a defining unit, a current ratio difference value calculating unit, a first judging unit, a first electricity stealing probability calculating unit, a first current variance calculating unit, a second current variance calculating unit, a setting unit, a second judging unit and a second electricity stealing probability calculating unit.
Wherein, the definition unit is used for defining the initial electricity stealing probability as 50%; the current ratio difference calculation unit is used for calculating the difference of the current ratios of the same time periods on the previous day and the current day respectively; the first judging unit is used for judging whether the absolute value of any current ratio difference is less than or equal to 3 percent; the first electricity stealing probability calculating unit is used for increasing the initial electricity stealing probability by 5% when the absolute value of any current ratio difference is less than or equal to 3%, and acquiring the first electricity stealing probability; the first current variance calculating unit is used for calculating a first current variance according to the current ratio of each pretreated current at each time point in the previous day, and the first current variance is the current variance corresponding to the previous day; the second current variance calculating unit is used for calculating a second current variance according to the current ratio preprocessed at each time point on the day, and the second current variance is the current variance corresponding to the day; the setting unit is used for setting the value range of the current variance as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance; the second judgment unit is used for judging whether the first current variance and the second current variance are in the same current variance value range or not; and the second electricity stealing probability calculating unit is used for increasing the first electricity stealing probability by 30% when the first current variance and the second current variance are in the same current variance value range, and acquiring the second electricity stealing probability.
The working principle and the working method of the low-voltage electricity-stealing alarm system in the embodiment are already explained in detail in the low-voltage electricity-stealing alarm method shown in fig. 1, and are not described again here.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A low voltage electricity stealing alarm method, comprising:
acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set;
screening out current data with inconsistent zero line current values and live line current values of the same low-voltage user from the current data set;
preprocessing current data with inconsistent zero line current values and live line current values of the same low-voltage user to obtain a current ratio of the live line current values and the zero line current values of each low-voltage user, wherein the current ratio is in a percentage form;
comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set, and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month;
if yes, establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electric quantity difference value;
and according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model, carrying out electricity stealing alarm.
2. The low voltage electricity larceny alarm method according to claim 1, wherein the set time is 1 hour.
3. The low-voltage electricity stealing alarm method according to claim 2, wherein the preprocessing of the current data of the same low-voltage user with inconsistent values of the zero-line current and the live-line current to obtain the current ratio of the live-line current value and the zero-line current value of each low-voltage user comprises:
the firing line current values of 24 time points on the day before data acquisition are defined as follows: l01, L02 … … L024, the zero line current values of 24 time points on the day before data acquisition are respectively: n01, N02 … … N024, the live wire current values at 24 time points on the day of data acquisition are respectively: l11 and L12 … … L124, the values of the zero line current at 24 time points on the day are respectively: n11, N12 … … N124;
for each low-voltage user, respectively calculating the current ratio of the live wire current value and the zero wire current value at any time point of the previous day and the current day, and defining the current ratio of each time point of the previous day as follows: m01, M02 … … M024, the current ratios at each time point of the day are: m11, M12 … … M124;
extracting the molecules of the current ratio in percentage form, and only retaining the integral part to obtain the current ratio after pretreatment.
4. The low-voltage electricity larceny alarm method according to claim 3, wherein the method for establishing the low-voltage user electricity larceny probability calculation model according to the current ratio and the electric quantity difference comprises the following steps:
defining the initial power stealing probability to be 50%;
respectively calculating the difference value of the current ratio of the same time period on the previous day and the current day;
judging whether the absolute values of the difference values of any current ratios are less than or equal to 3 percent;
if yes, increasing the initial electricity stealing probability by 5 percent, and acquiring a first electricity stealing probability;
if not, judging that electricity stealing does not occur;
calculating a first current variance according to the current ratio of each pretreated time point on the previous day, wherein the first current variance is the current variance corresponding to the previous day;
calculating a second current variance according to the current ratio preprocessed at each time point on the current day, wherein the second current variance is the current variance corresponding to the current day;
the value range of the current variance is set as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance;
judging whether the first current variance and the second current variance are in the same current variance value range or not;
if yes, increasing the first electricity stealing probability by 30% and acquiring a second electricity stealing probability;
if not, judging that no electricity stealing happens.
5. The low-voltage electricity stealing warning method according to claim 4, wherein the first variance threshold is 2 and the second variance threshold is 9.
6. The low voltage electricity larceny alarm method according to claim 4, wherein the first probability of electricity larceny is increased by 30%, and after the second probability of electricity larceny is obtained, the method further comprises:
judging whether a low-voltage user matched with current data with inconsistent zero line current values and live line current values has an electric energy meter uncapping record or not;
if so, judging whether the time difference between the uncapping occurrence time of the current low-voltage user and the uncapping finishing time is less than or equal to a set time threshold according to the uncapping record of the electric energy meter of the current low-voltage user;
if yes, increasing the second electricity stealing probability by 5% and obtaining a third electricity stealing probability.
7. The low voltage electricity larceny alarm method according to claim 6, wherein when the set time is 1 hour, the set time threshold is 10 minutes.
8. The low-voltage electricity larceny alarming method as claimed in claim 4, wherein the method for alarming electricity larceny according to the electricity larceny probability output by the low-voltage user electricity larceny probability calculation model comprises the following steps:
when the second electricity stealing probability is more than or equal to 80%, carrying out electricity stealing alarm;
and recording the electricity utilization data of the low-voltage user matched with the second electricity stealing probability.
9. A low voltage electricity theft alarm system, characterized in that the system comprises:
the current data acquisition module is used for acquiring zero line current values and live line current values of all current low-voltage users at set time intervals to form a current data set;
the screening module is used for screening out current data with inconsistent zero line current values and live line current values of the same low-voltage user from the current data set;
the preprocessing module is used for preprocessing current data of the same low-voltage user, wherein the zero line current value and the live line current value are inconsistent, and acquiring the current ratio of the live line current value and the zero line current value of each low-voltage user, wherein the current ratio is in a percentage form;
the judging module is used for comparing the electric quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter is opened with the electric quantity of the current month of the collected current data set and judging whether the electric quantity difference value exists between the electric quantity of the month and the electric quantity of the current month;
the electricity stealing probability calculation model establishing module is used for establishing a low-voltage user electricity stealing probability calculation model according to the current ratio and the electricity difference value when the electricity quantity of the month to which the electric energy meter belongs before the cover of the electric energy meter and the electricity quantity of the current month of the collected current data set have the electricity difference value;
and the alarm module is used for carrying out electricity stealing alarm according to the electricity stealing probability output by the low-voltage user electricity stealing probability calculation model.
10. The low-voltage electricity larceny alarm system according to claim 9, wherein the electricity larceny probability calculation model establishing module comprises:
a defining unit for defining an initial power stealing probability to be 50%;
the current ratio difference calculation unit is used for calculating the difference of the current ratios of the same time periods on the previous day and the current day respectively;
the first judgment unit is used for judging whether the absolute value of any current ratio difference is less than or equal to 3 percent;
the first electricity stealing probability calculating unit is used for increasing the initial electricity stealing probability by 5% when the absolute value of any current ratio difference is less than or equal to 3%, and acquiring a first electricity stealing probability;
the first current variance calculating unit is used for calculating a first current variance according to the current ratio of each pretreated current at each time point on the previous day, and the first current variance is the current variance corresponding to the previous day;
the second current variance calculating unit is used for calculating a second current variance according to the current ratio preprocessed at each time point on the day, and the second current variance is the current variance corresponding to the day;
the setting unit is used for setting the value range of the current variance as follows: current variance < first variance threshold, first variance threshold < current variance ≦ second variance threshold, and current variance > second variance;
the second judging unit is used for judging whether the first current variance and the second current variance are in the same current variance value range or not;
and the second electricity stealing probability calculating unit is used for increasing the first electricity stealing probability by 30% when the first current variance and the second current variance are in the same current variance value range, and acquiring the second electricity stealing probability.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206258500U (en) * | 2016-12-21 | 2017-06-16 | 武汉阿迪克电子股份有限公司 | A kind of single-phase intelligent anti-electricity-theft electric energy meter of transformer summation current transformer with voltage |
| WO2017107556A1 (en) * | 2015-12-25 | 2017-06-29 | 深圳长城开发科技股份有限公司 | Electricity meter and live wire detection circuit |
| JP2019054715A (en) * | 2017-09-15 | 2019-04-04 | 東京電力ホールディングス株式会社 | Power theft monitoring system, power theft monitoring device, power theft monitoring method and program |
| 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 |
| CN110824215A (en) * | 2018-08-08 | 2020-02-21 | 天津市三源电力设备制造有限公司 | Broadband carrier based electricity stealing behavior detection method and device |
| CN113452145A (en) * | 2021-08-30 | 2021-09-28 | 广东电网有限责任公司中山供电局 | Method and system for monitoring power utilization condition of low-voltage transformer area user |
-
2021
- 2021-10-28 CN CN202111263429.6A patent/CN114002468A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017107556A1 (en) * | 2015-12-25 | 2017-06-29 | 深圳长城开发科技股份有限公司 | Electricity meter and live wire detection circuit |
| CN206258500U (en) * | 2016-12-21 | 2017-06-16 | 武汉阿迪克电子股份有限公司 | A kind of single-phase intelligent anti-electricity-theft electric energy meter of transformer summation current transformer with voltage |
| JP2019054715A (en) * | 2017-09-15 | 2019-04-04 | 東京電力ホールディングス株式会社 | Power theft monitoring system, power theft monitoring device, power theft monitoring method and program |
| CN110824215A (en) * | 2018-08-08 | 2020-02-21 | 天津市三源电力设备制造有限公司 | Broadband carrier based electricity stealing behavior detection method and device |
| 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 |
| CN113452145A (en) * | 2021-08-30 | 2021-09-28 | 广东电网有限责任公司中山供电局 | Method and system for monitoring power utilization condition of low-voltage transformer area user |
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