阅读说明：本技术 一种基于线损的窃电确定方法及装置 (Line loss-based electricity stealing determination method and device ) 是由 陈建华 皇甫成 梁吉 汪鸿 李博彤 邱婷 赵丹阳 陈广宇 高小刚 徐凌燕 李佳新 于 2020-07-14 设计创作，主要内容包括：本发明提供了一种基于线损的窃电确定方法及装置,所述方法包括：通过计算机定时获取线变台户的基础数据；基于所述基础数据计算线损特征指标；基于所述线损特征指标筛选存在窃电情况的疑似配线；计算配线线损率与用户用电量的相关性系数,确定该疑似配线下的窃电用户。本发明中,以平均线损率、线损率变异系数和线损率变化趋势数值作为线损特征指标,采用逐步判断的方式确定存在窃电行为的疑似配线,即先确定存在疑似窃电行为的配线,然后在针对该配线下的每个用户计算其用电量与配线线损率的相关系数,进而确定窃电用户,该确定方法效率高,确定的窃电用户准确,防止了排查工人白跑路的情况,且提出了这些特征指标及相关性的具体计算公式。(The invention provides a method and a device for determining electricity stealing based on line loss, wherein the method comprises the following steps: acquiring basic data of a line transformer station user at regular time through a computer; calculating a line loss characteristic index based on the basic data; screening suspected wiring with the electricity stealing condition based on the line loss characteristic index; and calculating the correlation coefficient of the wire loss rate of the wiring and the power consumption of the user, and determining the electricity stealing user under the suspected wiring. The method comprises the steps of determining suspected wiring with electricity stealing behavior by using an average line loss rate, a line loss rate variation coefficient and a line loss rate variation trend numerical value as line loss characteristic indexes and adopting a gradual judgment mode, namely determining the wiring with the suspected electricity stealing behavior, calculating a correlation coefficient of the electricity consumption and the wiring line loss rate of each user under the wiring, and further determining electricity stealing users.)

1. A method for determining electricity stealing based on line loss, the method comprising:

acquiring, namely acquiring basic data of a line transformer subscriber at regular time through a computer;

a processing step of calculating a line loss characteristic index based on the basic data;

a screening step, wherein suspected wiring with electricity stealing condition is screened based on the line loss characteristic index;

and a determining step, namely calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user, and determining the electricity stealing user under the suspected wiring.

2. The method of claim 1, wherein the base data comprises: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

3. The method according to claim 2, wherein an average line loss rate, a line loss rate variation coefficient, and a line loss rate variation trend value of the wiring are calculated as line loss characteristic indicators based on the base data.

4. The method of claim 3, wherein the operation of screening suspected wiring lines with electricity stealing based on the line loss characteristic index is:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the coefficient of variation of the line loss rate by the following method:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the line loss rate change trend numerical value by the following method:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁The wiring number is the average value of the daily line loss rate of the first half of i, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing.

5. The method of claim 4, wherein the determining step operates to:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_n}；

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}；

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,

Judging the correlation coefficient R_iIf the number is larger than the fourth threshold value, and if the number is larger than the fourth threshold value, the user is determined to be a power stealing user.

6. An apparatus for determining theft of electricity based on line loss, the apparatus comprising:

the acquisition unit is used for acquiring basic data of the line transformer subscriber at regular time through a computer;

a processing unit for calculating a line loss characteristic index based on the basic data;

the screening unit screens suspected wiring with electricity stealing conditions on the basis of the line loss characteristic indexes;

and the determining unit is used for calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user and determining the electricity stealing user under the suspected wiring.

7. The apparatus of claim 6, wherein the base data comprises: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

8. The apparatus according to claim 7, wherein an average line loss rate, a line loss rate variation coefficient, and a line loss rate variation trend value of the wiring are calculated as line loss characteristic indicators based on the basic data.

9. The apparatus of claim 8, wherein the operation of screening suspected wiring having electricity theft based on the line loss characteristic index is:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the coefficient of variation of the line loss rate by the following method:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,

calculating the line loss rate change trend numerical value by the following method:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁The wiring number is the average value of the daily line loss rate of the first half of i, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing.

10. The apparatus of claim 9, wherein the determining unit performs the operations of:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_n}；

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}；

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,

Judging the correlation coefficient R_iIf the number is larger than the fourth threshold value, and if the number is larger than the fourth threshold value, the user is determined to be a power stealing user.

Technical Field

The invention relates to the technical field of intelligent power grids, in particular to a method and equipment for determining electricity stealing based on line loss.

Background

The user electricity stealing and equipment electricity leakage can cause benefit loss for a power supply department, and the most important indexes for evaluating the electricity stealing and leakage of the user are electricity quantity abnormity, load abnormity, terminal alarm, line loss abnormity and the like, wherein the line loss abnormity is the most direct and most important index. In actual production, due to reasons such as untimely update of file data, abnormal data acquisition and the like, the distribution line loss data in the system fluctuates, so when the distribution line loss is selected as an evaluation index for electricity stealing diagnosis, the distribution line loss data needs to be analyzed to extract the distribution suspected of having electricity stealing situations.

Disclosure of Invention

The present invention addresses one or more of the above-mentioned deficiencies in the prior art and proposes the following technical solutions.

A method for determining theft of electricity based on line loss, the method comprising:

acquiring, namely acquiring basic data of a line transformer subscriber at regular time through a computer;

a processing step of calculating a line loss characteristic index based on the basic data;

a screening step, wherein suspected wiring with electricity stealing condition is screened based on the line loss characteristic index;

and a determining step, namely calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user, and determining the electricity stealing user under the suspected wiring.

Still further, the base data includes: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

Further, an average line loss rate, a line loss rate variation coefficient, and a line loss rate variation trend value of the wiring are calculated as line loss characteristic indexes based on the basic data.

Further, the operation of screening the suspected wiring with the electricity stealing situation based on the line loss characteristic index is as follows:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the coefficient of variation of the line loss rate by the following method:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,

is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the line loss rate change trend numerical value by the following method:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁The wiring number is the average value of the daily line loss rate of the first half of i, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing.

Still further, the determining step operates to:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_n}；

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}；

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,

is an average value of the line loss rate of the wiring,is the average value of the electric quantity of the user, j is less than or equal to n

Judging the correlation coefficient R_iIf the number is larger than the fourth threshold value, and if the number is larger than the fourth threshold value, the user is determined to be a power stealing user.

The invention also provides a line loss-based electricity stealing determination device, which comprises:

the acquisition unit is used for acquiring basic data of the line transformer subscriber at regular time through a computer;

a processing unit for calculating a line loss characteristic index based on the basic data;

the screening unit screens suspected wiring with electricity stealing conditions on the basis of the line loss characteristic indexes;

and the determining unit is used for calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user and determining the electricity stealing user under the suspected wiring.

Still further, the base data includes: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

Further, an average line loss rate, a line loss rate variation coefficient, and a line loss rate variation trend value of the wiring are calculated as line loss characteristic indexes based on the basic data.

Further, the operation of screening the suspected wiring with the electricity stealing situation based on the line loss characteristic index is as follows:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the coefficient of variation of the line loss rate by the following method:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the line loss rate change trend numerical value by the following method:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁The wiring number is the average value of the daily line loss rate of the first half of i, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing.

Still further, the determining unit performs the operations of:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_n}；

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}；

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,is an average value of the line loss rate of the wiring,is the average value of the electric quantity of the user, j is less than or equal to n

Judging the correlation coefficient R_iIf the number is larger than the fourth threshold value, and if the number is larger than the fourth threshold value, the user is determined to be a power stealing user.

The invention has the technical effects that: the invention discloses a method and a device for determining electricity stealing based on line loss, wherein the method comprises the following steps: acquiring, namely acquiring basic data of a line transformer subscriber at regular time through a computer; a processing step of calculating a line loss characteristic index based on the basic data; a screening step, wherein suspected wiring with electricity stealing condition is screened based on the line loss characteristic index; and a determining step, namely calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user, and determining the electricity stealing user under the suspected wiring. The method comprises the steps of determining the wiring with suspected electricity stealing behavior, calculating the correlation coefficient of the electricity consumption and the wiring line loss rate of each user under the wiring, and further determining electricity stealing users.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings.

Fig. 1 is a flowchart of a line loss-based power stealing determination method according to one embodiment of the invention.

Fig. 2 is a schematic diagram of a line loss-based electricity stealing determination apparatus according to one of the embodiments of the present invention.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Fig. 1 shows a line loss-based electricity stealing determination method according to the present invention, which includes:

an acquisition step S101, namely acquiring basic data of a line transformer user at regular time through a computer; in the invention, a keytte tool installed in the calculation is used for accessing a line transformer station (wiring, a transformer, a station area, a user) and the like to acquire basic data, wherein the basic data comprises the following components: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

A processing step S102 of calculating a line loss characteristic index based on the basic data; in the invention, the average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend numerical value of the wiring are calculated based on the basic data to be used as line loss characteristic indexes. The real-time operation data of the power grid, the user table bottom, the line change table user relation data, the user multiplying power, the current user table number and the like are included, and the average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend numerical value of the wiring can be conveniently calculated through a computer program to serve as line loss characteristic indexes.

And a screening step S103, screening suspected wiring with electricity stealing situation based on the line loss characteristic index.

In one embodiment, the operation of screening suspected wiring lines with electricity stealing situations based on the line loss characteristic index is as follows:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the average value of the line loss rate reflects the trend of the line loss rate, namely the average value exceeds a certain threshold value to indicate that the possibility of electricity stealing is extremely high, and the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the line loss rate variation coefficient, wherein the line loss rate variation coefficient reflects the discrete degree of the line loss rate, and because the electricity stealing behavior is generally random and the electricity stealing cannot be carried out all the time, the line loss rate variation coefficient exists when the electricity stealing occurs, and the calculation method comprises the following steps:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating a line loss rate variation trend value, wherein the line loss rate variation trend reflects the line loss trend of the wiring, if the variation trend is greater than 0, the line loss rate of the wiring is larger and larger, the line loss rate is possibly caused by electricity stealing of a user under the wiring, and the electricity stealing is more and more serious, the user hung under the wiring can be judged to be a suspected electricity stealing user, and the calculation method comprises the following steps:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁Numbering the wiring as i frontAverage line loss rate of half-month per day, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing. The average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend numerical value are used as line loss characteristic indexes, the suspected wiring with the electricity stealing behavior is determined in a gradual judgment mode, the suspected wiring determined in the mode is generally highly suspected, the accuracy and the efficiency of determining whether the electricity stealing behavior exists in the follow-up process are improved, specific calculation formulas of the characteristic indexes are provided, and the method belongs to one of important invention points of the method

。

And a determining step S104, calculating a correlation coefficient of the wire loss rate of the wiring and the power consumption of the user, and determining the electricity stealing user under the suspected wiring.

In one embodiment, in order to determine whether there is electricity stealing behavior at the end of the suspected wiring, the determining step is used to:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_nAcquiring the daily electric quantity of each user in the last n days, and storing the daily electric quantity in a vector; for example, n may be 30 days, etc.

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}。

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,is an average value of the line loss rate of the wiring,j is the average value of the electric quantity of the user and is less than or equal to n;

judging the correlation coefficient R_iAnd if so, determining that the user is a power stealing user, and then checking the power stealing user. The method firstly determines the wiring with suspected electricity stealing behavior, then calculates the correlation coefficient of the electricity consumption and the wiring line loss rate of each user under the wiring, and further determines the electricity stealing users.

Fig. 2 shows a line loss-based electricity stealing determination apparatus of the present invention, which includes:

an acquisition unit 201, which acquires the basic data of the line transformer user at regular time through a computer; in the invention, a keytte tool installed in the calculation is used for accessing a line transformer station (wiring, a transformer, a station area, a user) and the like to acquire basic data, wherein the basic data comprises the following components: the system comprises a distribution machine account, a distribution transformer machine account, a distribution area machine account, a user machine account, power grid real-time operation data, line transformer machine account relation data, a user table bottom, user multiplying power and a user current table number.

A processing unit 202, which calculates a line loss characteristic index based on the basic data; in the invention, the average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend numerical value of the wiring are calculated based on the basic data to be used as line loss characteristic indexes. The real-time operation data of the power grid, the user table bottom, the line change table user relation data, the user multiplying power, the current user table number and the like are included, and the average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend numerical value of the wiring can be conveniently calculated through a computer program to serve as line loss characteristic indexes.

And a screening unit 203 for screening the suspected wiring with the electricity stealing situation based on the line loss characteristic index.

In one embodiment, the operation of screening suspected wiring lines with electricity stealing situations based on the line loss characteristic index is as follows:

the following calculation is performed for each wiring with wiring number i:

calculating the average value of the line loss rate, wherein the average value of the line loss rate reflects the trend of the line loss rate, namely the average value exceeds a certain threshold value to indicate that the possibility of electricity stealing is extremely high, and the calculation method comprises the following steps:

wherein the content of the first and second substances,is the average line loss rate, x, of wiring number i_jThe j-th line loss rate with the wiring number i;

calculating the line loss rate variation coefficient, wherein the line loss rate variation coefficient reflects the discrete degree of the line loss rate, and because the electricity stealing behavior is generally random and the electricity stealing cannot be carried out all the time, the line loss rate variation coefficient exists when the electricity stealing occurs, and the calculation method comprises the following steps:

wherein, C_viThe number of the wiring is i line loss rate variation coefficient, S_iIs the standard deviation of the wiring number i,

is the average line loss rate, x, of wiring number i_jLine loss rate of j-th wire with wiring number i；

Calculating a line loss rate variation trend value, wherein the line loss rate variation trend reflects the line loss trend of the wiring, if the variation trend is greater than 0, the line loss rate of the wiring is larger and larger, the line loss rate is possibly caused by electricity stealing of a user under the wiring, and the electricity stealing is more and more serious, the user hung under the wiring can be judged to be a suspected electricity stealing user, and the calculation method comprises the following steps:

wherein, T_iThe line loss rate of wiring number i is a tendency of change, X₁The wiring number is the average value of the daily line loss rate of the first half of i, X₂The wiring number is the average value of the daily line loss rate of half a month after i;

and if the average line loss rate of the wiring with the wiring number i is larger than a first threshold value, judging whether the line loss rate variation coefficient is larger than a second threshold value, if so, judging whether the line loss rate variation trend numerical value is larger than 0, and if so, regarding the wiring with the wiring number i as a suspected wiring with electricity stealing. The average line loss rate, the line loss rate variation coefficient and the line loss rate variation trend value are used as line loss characteristic indexes, the suspected wiring with the electricity stealing behavior is determined in a gradual judgment mode, the suspected wiring determined in the mode is generally highly suspected, the accuracy and the efficiency of determining whether the electricity stealing behavior exists in the follow-up process are improved, and specific calculation formulas of the characteristic indexes are provided, so that the method belongs to one of important invention points.

The determining unit 204 calculates a correlation coefficient between the wire loss rate of the wiring and the power consumption of the user, and determines the electricity stealing user under the suspected wiring.

In one embodiment, in order to determine whether there is electricity stealing behavior at all, the following is performed with the determination unit:

acquiring the daily electric quantity of each user under the wiring with the wiring number i in the last n days based on the basic data, and setting the daily electric quantity as { P₁、P₂、P₃…P_nAcquiring the daily electric quantity of each user in the last n days, and storing the daily electric quantity in a vector; for example, n may be 30 days, etc.

Calculating the nearest n days daily loss rate of the wiring with the wiring number i based on the basic data, and setting the daily loss rate as { X₁、X₂、X₃、…、X_n}。

Calculating a correlation coefficient of the wire loss rate of the wiring and the electricity consumption of each user, wherein the calculation formula is as follows:

wherein R is_iFor the correlation coefficient of the line loss rate with the wiring number i and the electricity consumption of the user, S_XIs the standard deviation of the line loss rate of the wiring, S_PIs the standard deviation of the amount of electricity of the user,

is an average value of the line loss rate of the wiring,j is the average value of the electric quantity of the user and is less than or equal to n;

judging the correlation coefficient R_iAnd if so, determining that the user is a power stealing user, and then checking the power stealing user. The method firstly determines the wiring with suspected electricity stealing behavior, then calculates the correlation coefficient of the electricity consumption and the wiring line loss rate of each user under the wiring, and further determines the electricity stealing users.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made thereto without departing from the spirit and scope of the invention and it is intended to cover in the claims the invention as defined in the appended claims.