Shunting electricity stealing user identification method, device, equipment and medium

Abstract

The invention discloses a shunting electricity stealing user identification method, apparatus and device, and a medium. The method comprises the following steps: respectively obtaining zero line current values and live line current values of each user in a detected area at a plurality of time points; calculating the absolute value of the statistical value of the zero line current value and the live line current value of each user at each time point; the absolute value of the statistical value of the live-wire current value is greater than a preset threshold value, and the live-wire and null-wire current ratio is smaller than a preset ratio threshold value; calculating the variance of the current ratios of the zero line and the live line of the screened target user at the plurality of time points; and judging whether the target user is a shunt electricity stealing user or a common null line user according to the variance of the null line and live line current ratio of the target user. According to the invention, shunting electricity larceny detection can be realized, shunting electricity larceny users and common null line users can be accurately discriminated, and the accuracy and efficiency of anti-electricity larceny detection can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity theft detection, and particularly to a method, device, equipment and medium for identifying shunt electricity theft users. Background Art

[0002] The electricity consumption information acquisition system can automatically collect the household meter codes, voltages and currents of residents, and can also achieve accurate anti-electricity-theft for residents. The single-phase residential meter measures the live wire and neutral wire currents of the user. The live wire current is used for metering, and the neutral wire current is used as a reference. Under normal electricity consumption conditions, the live wire current is equal to the neutral wire current. If a user steals electricity by shunting the live wire, it will cause the live wire current measured by the meter to be less than the neutral wire current. Therefore, in the prior art, electricity theft suspect users are usually screened out and electricity theft users are located by comparing the zero and live wire currents of users at the master station. However, due to possible non-standard construction, there may be users sharing the neutral wire, and for users sharing the neutral wire, the live wire current may also be less than the neutral wire current. If the above method of comparing zero and live wire currents is used to judge electricity theft, it will cause misjudgment and reduce the efficiency of anti-electricity-theft. Summary of the Invention

[0003] The technical problem to be solved by the present invention is: aiming at the technical problems existing in the prior art, the present invention provides a method with simple implementation, low cost, high screening efficiency and accuracy, which can realize shunt electricity theft detection and identification, and at the same time accurately distinguish shunt electricity theft users from users sharing the neutral wire, improving the accuracy and efficiency of anti-electricity-theft detection.

[0004] To solve the above technical problems, the technical solution proposed by the present invention is:

[0005] A method for identifying shunt electricity theft users, the steps include:

[0006] Obtain the neutral wire current values and live wire current values of each user in the measured area at multiple time points respectively;

[0007] Calculate the absolute value of the statistical value of the neutral wire current value and the live wire current value of each user at each time point;

[0008] Screen out target users whose absolute value of the statistical value of the live wire current value is greater than a preset threshold and the ratio of the absolute value of the average of the live wire and neutral wire currents is less than a preset ratio threshold, where the ratio of the absolute value of the average of the live wire and neutral wire currents is the ratio between the absolute value of the average of the live wire current values and the absolute value of the average of the neutral wire current values;

[0009] Calculate the variance of the zero-live wire current ratio of the screened target users at multiple time points;

[0010] Judge whether the target user is a shunt electricity theft user or a user sharing the neutral wire according to the variance of the zero-live wire current ratio of the target user.

[0011] Further, the statistical value of the neutral line current value and the live line current value is the average value of the neutral line current value and the live line current value.

[0012] Further, the target users whose absolute value of the statistical value of the live line current value is greater than the preset live line current threshold and the ratio of the absolute value of the average value of the live line and neutral line current is less than the preset ratio threshold include: screening out the absolute value I of the average value of the live line current value L greater than 0.05, and the user with N being the absolute value of the average value of the neutral line current value as the target user, where I

[0013] Further, calculating the variance of the neutral-live line current ratio of the screened target users at multiple time points includes:

[0014] Screening out multiple time points from the target users where the absolute value of the live line current value is greater than the preset screening threshold, and obtaining the neutral line current value and the live line current value at each of the screened time points;

[0015] Calculating the neutral-live line current ratio at each of the screened time points;

[0016] Calculating the variance of the neutral-live line current ratio at each of the screened time points.

[0017] Further, the screening out multiple time points from the target users where the absolute value of the live line current value is greater than the preset screening threshold further includes: if the number of time points where the absolute value of the live line current value is greater than the preset screening threshold exceeds the preset number of time points, then taking the first N time points in chronological order as the screened time points, where N is the preset number.

[0018] Further, the preset screening threshold is 0.1.

[0019] Further, determining whether the target user is a shunt power theft user or a common neutral line user according to the variance of the neutral-live line current ratio of the target user includes: judging the variance of the neutral-live line current ratio of the target user, and if it is less than the preset threshold, determining it as a shunt power theft user, otherwise determining it as a common neutral line user.

[0020] Further, the preset threshold is 0.1, that is, if the variance of the neutral-live line current ratio of the target user is less than 0.1, it is determined as a shunt power theft user and a non-common neutral line user.

[0021] A shunt power theft user identification device includes:

[0022] A data acquisition module for respectively acquiring the neutral line current value and the live line current value of each user in the measured area at multiple time points;

[0023] The first calculation module is used to calculate the absolute value of the statistical value of the zero-line current value and the live-line current value of each user at each time point;

[0024] The screening module is used to screen out target users whose absolute value of the statistical value of the live-line current value is greater than a preset threshold and the ratio of the absolute value of the average of the live-line and zero-line currents is less than a preset ratio threshold. The ratio of the absolute value of the average of the live-line and zero-line currents is the ratio between the absolute value of the average of the live-line current value and the absolute value of the average of the zero-line current value;

[0025] The second calculation module is used to calculate the variance of the zero-line to live-line current ratio of the screened target users at multiple time points;

[0026] The identification module is used to identify whether the target user is a shunt electricity theft user according to the variance of the zero-line to live-line current ratio of the target user.

[0027] An electronic device includes a processor and a memory. The memory is used to store a computer program, and the processor is used to execute the computer program to perform the method as described above.

[0028] A computer-readable storage medium storing a computer program, and when the computer program is executed, it implements the method as described above.

[0029] Compared with the prior art, the advantages of the present invention are as follows: By obtaining the zero-line current values and live-line current values of each user in the measured area at multiple time points for statistics, and based on the statistical values of the zero-line current value and the live-line current value and the corresponding zero-line to live-line current ratio, the suspicious electricity theft users that meet the conditions are initially screened out, removing the data that cannot calculate the zero-line to live-line ratio, reducing unnecessary data processing, and at the same time reducing the influence caused by the meter measurement error. Then, calculate the variance of the zero-line to live-line current ratio of the target users at multiple time points, and use the variance of the zero-line to live-line current ratio to determine whether it is a shunt electricity theft user or a common zero-line user. It can utilize the different characteristics of the zero-line to live-line current ratio of shunt electricity theft users and common zero-line users to accurately distinguish shunt electricity theft users and common zero-line users, thereby accurately realizing the detection of shunt electricity theft and improving the accuracy and efficiency of anti-electricity theft. Description of the Drawings

[0030] Figure 1 It is a schematic diagram of the connection principle of a single-phase meter during normal power consumption.

[0031] Figure 2 It is a schematic diagram of the connection principle in a situation of a common zero-line.

[0032] Figure 3 It is a schematic diagram of the connection principle of a shunt electricity theft user.

[0033] Figure 4 It is a schematic diagram of the implementation process of the shunt electricity theft user identification method in this embodiment. Detailed implementation manners

[0034] The present invention will be further described below in conjunction with the accompanying drawings of the specification and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0035] For ease of understanding, first, the relevant technical background related to the present invention will be introduced by way of example.

[0036] When using electricity normally, taking Figure 1 as an example, the live wire current of the single-phase meter flows into the meter from the No. 1 terminal and flows out from the No. 2 terminal, passes through the electrical appliance and then reaches the neutral wire, enters the meter from the No. 4 terminal, and then flows out from the No. 3 terminal, and finally returns to the power supply line. The live wire, the electrical appliance, and the neutral wire form a series circuit. At any point in time, the live wire current and the neutral wire current are the same. Therefore, under normal circumstances, if a user steals electricity by means of live wire shunting, it will cause the live wire current measured by the meter to be less than the neutral wire current. By comparing the live wire and neutral wire currents of the user, the suspected electricity stealing users can be screened out.

[0037] However, for users sharing a common neutral wire, the situation where the live wire current is less than the neutral wire current may also occur. There are various ways for multiple users to share a common neutral wire. Taking Figure 2 where Meter A and Meter B share a common neutral wire as an example, after the neutral wire currents converge at point "O", they are divided into In1 and In2 and return to Meters A and B. However, the distribution of In1 and In2 is determined by the resistances of the 3rd and 4th terminals of the two meters. The current is larger for the meter with a smaller resistance. For example, if the resistance between the 3rd and 4th terminals of Meter A is smaller, then In1 of Meter A will be greater than IL1, the neutral wire current measured by Meter A will be greater than the live wire current, and the neutral wire current measured by Meter B will be less than the live wire current. Therefore, simply based on the fact that the live wire current is less than the neutral wire current, it is impossible to distinguish between electricity stealing users and users sharing a common neutral wire, which may lead to misjudgment.

[0038] The present invention further analyzes the characteristics of shunt electricity stealing users and users sharing a common neutral wire:

[0039] First, analyze the users sharing a common neutral wire. Through further analysis, it is found that as shown in Figure 2 , IL1 is determined by the electrical load of Meter A, and In1 is determined by the loads of both Meter A and Meter B. The electricity consumption of the two households has no correlation. Therefore, the ratio of the neutral wire current to the live wire current measured by Meter A should not be fixed. After analysis, other common neutral wire sharing methods except Figure 2 will also result in the live wire being less than the neutral wire current, and they also have the characteristic that the ratio of the live wire to neutral wire currents is not fixed.

[0040] Next, analyze the shunt electricity stealing users. If a user shorts the live wire current, as shown in Figure 3 , the live wire current IL is divided into I1 and I2. Since the internal resistance R1 of the meter and the resistance R2 of the short-circuit wire are fixed, I1 and I2 will be distributed in a fixed ratio. Specifically, since I1 can be calculated by the following formula:

[0041]

[0042] And I N = I L Therefore, if the live wire current measured by the meter is I1 and the neutral wire current is IN, then the neutral-to-live wire ratio is: It is a fixed ratio, and I1 is less than IN.

[0043] Based on the above analysis, it can be seen that for users stealing electricity through shunt, not only is the live wire current less than the neutral wire current, but also the ratio of the neutral wire current to the live wire current is relatively fixed at different time points. For users sharing the same neutral wire, although there may also be cases where the live wire current is less than the neutral wire current, the neutral-to-live wire current ratio is not fixed and varies from large to small. That is, the neutral-to-live wire ratio of shunt electricity-stealing users is consistent, while that of users sharing the same neutral wire is usually not fixed. Therefore, the shunt electricity-stealing users and the users sharing the same neutral wire can be distinguished based on the consistency of the neutral-to-live wire ratio.

[0044] Based on the above characteristics, the present invention further considers that variance can measure the degree of dispersion of a set of data, which is the average of the squared differences between each sample value and the average of all sample values. Since the neutral-to-live wire ratio of shunt electricity-stealing users is consistent and that of users sharing the same neutral wire is relatively discrete, the shunt electricity-stealing users and the users sharing the same neutral wire can be identified by calculating the variance of the neutral-to-live wire ratio. Further considering that many users do not use electricity continuously, the data at some points are zero and the neutral-to-live wire ratio cannot be calculated, and there may also be measurement errors in the meter itself, which may cause the live wire current to be less than the neutral wire current in the case of small currents. The present invention obtains the neutral wire current values and live wire current values of each user in the measured area at multiple time points for statistics. First, based on the statistical values of the neutral wire current values and live wire current values and the corresponding neutral-to-live wire current ratios, the suspicious electricity-stealing users that meet the conditions are preliminarily screened out, the data for which the neutral-to-live wire ratio cannot be calculated are removed, unnecessary data processing is reduced, and at the same time, the influence caused by the meter measurement error is reduced. Then, the variance of the neutral-to-live wire current ratio of the target user at multiple time points is calculated. The variance of the neutral-to-live wire current ratio can accurately distinguish whether it is a shunt electricity-stealing user or a user sharing the same neutral wire, so as to accurately detect shunt electricity-stealing and improve the accuracy and efficiency of anti-electricity-stealing.

[0045] The following will further illustrate the present invention with specific embodiments.

[0046] As Figure 4 shown, the steps of the shunt electricity-stealing user identification method in this embodiment include:

[0047] Step S01. Respectively obtain the neutral wire current values and live wire current values of each user in the measured area at multiple time points.

[0048] Specifically, the electricity consumption information acquisition system can be used to collect the zero-line and live-line current values of single-phase residential households at multiple time points. For example, 24 zero-line and live-line current values can be taken.

[0049] Step S02. Calculate the absolute value of the statistical value of the zero-line current value and the live-line current value of each user at each time point.

[0050] Since many users do not use electricity continuously, some of the 24 data points collected are zero, and the zero-live line ratio cannot be calculated. In this embodiment, the statistical values of the zero-line current value and the live-line current value of each user at each time point are first calculated, and then the corresponding zero-live line current ratio is calculated based on the statistical values, which can avoid the situation where the zero-live line ratio cannot be calculated and can also reduce the influence caused by the meter measurement error.

[0051] It can be understood that the statistical value of the zero-line current value and the live-line current value can specifically be the average value of the zero-line current value and the live-line current value. Of course, other types of statistical values can also be used, such as variance, etc.

[0052] Step S03. Screen out the target users whose absolute value of the statistical value of the live-line current value is greater than the preset threshold and the ratio of the absolute value of the average value of the live-zero line current is less than the preset ratio threshold, where the ratio of the absolute value of the average value of the live-zero line current is the ratio between the absolute value of the average value of the live-line current value and the absolute value of the average value of the zero-line current value.

[0053] If the live-line current value is too small, the zero-live line current ratio cannot be calculated. Therefore, data points with too small live-line current values need to be removed. At the same time, since stealing electricity by the method of live-line shunt will cause the live-line current measured by the meter to be less than the zero-line current, the ratio between the live-line current and the zero-line current (zero-live line current ratio) will be less than 1. Especially when the zero-live line current ratio is small, the possibility of stealing electricity by live-line shunt is relatively large. Therefore, users with a ratio of the absolute value of the average value of the live-zero line current less than the specified value can be screened out as suspicious electricity stealing target users.

[0054] The above-mentioned live-line current threshold and ratio threshold can be specifically configured according to actual needs. For example, the live-line current threshold can be taken as 0.05, and the ratio threshold can be taken as 0.6, that is, screen out users whose absolute value of the average value of the live-line current value I L is greater than 0.05, where I N is the absolute value of the average value of the zero-line current value. In this way, target users with suspicious situations can be screened out as accurately as possible, avoiding missed inspections, and unnecessary data processing can also be reduced as much as possible.

[0055] Step S04. Calculate the variance of the zero-live line current ratio of the screened target users at multiple time points.

[0056] Variance can characterize the degree of dispersion among data. In this embodiment, for the selected suspicious target users, the variance of the zero-phase and live-phase current ratios at multiple time points is statistically calculated to determine the degree of dispersion among the zero-phase and live-phase current ratios of the user at each time point, and further to determine whether there is consistency among the zero-phase and live-phase current ratios.

[0057] In this embodiment, calculating the variance of the zero-phase and live-phase current ratios of the selected target users at multiple time points includes:

[0058] Select multiple time points from the target users where the absolute value of the live-phase current value is greater than a preset screening threshold, and obtain the zero-phase current value and live-phase current value at each selected time point;

[0059] Calculate the zero-phase and live-phase current ratios at each selected time point;

[0060] Calculate the variance of the zero-phase and live-phase current ratios at each selected time point.

[0061] To improve the accuracy of variance calculation, in this embodiment, by first selecting multiple time points where the absolute value of the live-phase current value is greater than a preset screening threshold, the error caused by abnormal data in the calculation is reduced. Then, based on the zero-phase and live-phase current ratios at the selected time points, the variance is calculated, which can further improve the calculation accuracy, thereby ensuring the accuracy of electricity theft identification.

[0062] In this embodiment, selecting multiple time points from the target users where the absolute value of the live-phase current value is greater than a preset screening threshold further includes: if the number of time points where the absolute value of the live-phase current value is greater than the preset screening threshold exceeds the preset number of time points, then arrange each time point in chronological order and take the first N time points as the selected time points, where N is a preset number. For example, according to actual needs, the first 4 to 5 time points where the absolute value of the live-phase current value is greater than the preset screening threshold can be taken, and then the zero-phase and live-phase current ratios at these first 4 to 5 time points are calculated. The above preset screening threshold can be configured according to actual needs, for example, it can be configured as 0.1.

[0063] Step S05. Determine whether the target user is a shunt electricity theft user or a common neutral wire user according to the variance of the zero-phase and live-phase current ratios of the target user.

[0064] Since variance can characterize the consistency among data, by calculating the variance of the zero-phase and live-phase current ratios, it is possible to effectively distinguish whether the user is an electricity theft user or a common neutral wire user, thereby achieving accurate electricity theft detection and identification, improving the accuracy of electricity theft detection and identification, and avoiding misjudging common neutral wire users as electricity theft users.

[0065] In this embodiment, determining whether the target user is a shunt power theft user or a common neutral wire user based on the variance of the zero-fire wire current ratio of the target user includes: judging the variance of the zero-fire wire current ratio of the target user. If it is less than the preset threshold, it is determined as a shunt power theft user and not a common neutral wire user. That is, if the variance value of the zero-fire wire current ratio is small, it indicates that the zero-fire wire ratio is relatively close, so it can be determined as a shunt power theft user rather than a common neutral wire user. On the contrary, if the variance value is large, it indicates that the zero-fire wire ratio is not fixed, and it can be determined as a common neutral wire user. Thus, based on the data characteristics of shunt power theft and common neutral wire users, the identification of shunt power theft users and common neutral wire users can be accurately realized, achieving accurate anti-theft power, and at the same time improving the efficiency of anti-theft power.

[0066] In a specific application embodiment, the variance judgment threshold can be configured according to actual needs. For example, it can be set to 0.1. That is, judge the variance of the zero-fire wire current ratio of the target user. If it is less than 0.1, it is determined as a shunt power theft user and not a common neutral wire user.

[0067] The present invention utilizes the different characteristics of the zero-fire wire current ratios of shunt power theft users and common neutral wire users, and can correctly identify shunt power theft users and common neutral wire users by using the ratio variance. Without additional detection equipment, it can not only greatly improve the identification accuracy (the actual accuracy rate can reach more than 80%), achieve accurate anti-theft power, but also greatly reduce the detection input cost.

[0068] The following takes the implementation of the above method of the present invention to detect shunt power theft users in a specific application embodiment as an example to further illustrate the present invention. The detailed steps are as follows:

[0069] Step ① Calculate the absolute value of the average of the zero-fire wire currents at 24 points respectively:

[0070] I L = abs(average(i L1 , i L2 ,..., i L23 , i L24 ))

[0071] I N = abs(average(i N1 , i N2 ,..., i N23 , i N24 ))

[0072] Step ② Screen out the target users where I L > 0.05 and ;

[0073] Step ③ Further screen from the target users screened in step ②. If the phase current i L1 , i L2,..., i L23 , i L24 Among them, if there are more than 4 data with absolute values greater than 0.1, take the first 4 points with absolute values greater than 0.1, and calculate the absolute values X1, X2, X3, X4 of the zero-fire line current ratios of these 4 points;

[0074] ④ Calculate the variance of the ratios of the 4 points calculated in step ③: Where Xi is the zero-fire line ratio of the 4 points, and μ is the arithmetic mean of X1, X2, X3, X4.

[0075] ⑤ Judge the size of S. If S < 0.1, it means that the zero-fire line ratio consistency is relatively high, and it is determined as a non-common zero line user, that is, the possibility of shunt power theft is relatively large. Otherwise, the possibility of being a common zero line user is relatively large.

[0076] In the specific application example, the zero-fire line currents and ratios at 4 time points (7, 11, 15, 19 o'clock) of the user are shown in Table 1 below.

[0077] Table 1: Zero-fire line current and ratio

[0078] Time point 7 11 15 19 Live wire current 0.791 2.841 2.7 0.475 Neutral wire current 3.591 12.905 12.18 2.155 Ratio of neutral wire to live wire 4.54 4.54 4.51 4.54

[0079] The variance of the zero-fire line ratio calculated according to Table 1 is 0.012. After on-site verification, it is found that the user drilled holes on the side of the meter and inserted metal wires to short-circuit the live wire terminal to achieve shunt power theft, which verifies that the present invention can effectively identify shunt power theft. At the same time, in practical applications, other shunt methods are also found, such as: short-circuiting the live wire outside the meter, short-circuiting the terminal on the back of the meter, short-circuiting and shunting inside the meter, etc. By applying the method of the present invention, various types of shunt power theft can be effectively identified, and at the same time, it can also effectively distinguish shunt power theft from common zero line users.

[0080] The shunt power theft user identification device in this embodiment includes:

[0081] A data acquisition module for respectively acquiring the zero line current values and live wire current values of each user in the measured area at multiple time points;

[0082] A first calculation module for calculating the absolute values of the zero line current values and live wire current values of each user at each time point;

[0083] A screening module for screening out target users whose absolute value of the statistical value of the live wire current value is greater than a preset threshold and the ratio of the absolute value of the average value of the live wire and zero line currents is less than a preset ratio threshold, where the ratio of the absolute value of the average value of the live wire and zero line currents is the ratio between the absolute value of the average value of the live wire current value and the absolute value of the average value of the zero line current value;

[0084] A second calculation module for calculating the variance of the zero-fire line current ratios of the screened target users at multiple time points;

[0085] An identification module, configured to identify whether a target user is a bypass electricity theft user according to the variance of the zero-phase and live-phase current ratio of the target user.

[0086] The bypass electricity theft user identification device in this embodiment corresponds one-to-one with the above-mentioned bypass electricity theft user identification method, and will not be elaborated here one by one.

[0087] This embodiment further provides an electronic device, including a processor and a memory. The memory is used to store a computer program, and the processor is used to execute the computer program to execute the method as described above.

[0088] It can be understood that the above method in this embodiment can be executed by a single device, such as a computer or a server, etc., or can also be applied to a distributed scenario where multiple devices cooperate with each other to complete. In the case of a distributed scenario, one of the multiple devices can only execute one or more steps of the above method in this embodiment, and the multiple devices interact with each other to complete the above method. The processor can be implemented in ways such as a general-purpose CPU, a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, etc., and is used to execute relevant programs to implement the above method in this embodiment. The memory can be implemented in forms such as a read-only memory ROM, a random access memory RAM, a static storage device, and a dynamic storage device. The memory can store an operating system and other application programs. When implementing the above method in this embodiment through software or firmware, the relevant program codes are stored in the memory and called by the processor for execution.

[0089] This embodiment further provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method as described above is implemented.

[0090] Those skilled in the art should understand that the above embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that realizes the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0091] The above are only the preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Therefore, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention shall fall within the scope of the protection of the technical solution of the present invention.

Claims

1. A method for identifying users of electricity theft, characterized in that the steps include: Respectively obtain the neutral line current value and the live line current value of each user in the measured area at multiple time points; Calculate the absolute value of the statistical value of the neutral line current value and the live line current value of each user at each time point; Filter out target users whose absolute value of the statistical value of the live current value is greater than a preset threshold and whose ratio of the absolute value of the live and neutral current mean values ​​is less than a preset ratio threshold, wherein the ratio of the absolute value of the live and neutral current mean values ​​is the ratio between the absolute value of the live current mean value and the absolute value of the neutral current mean value; Calculate the variance of the zero-to-live current ratio of the selected target user at multiple time points; According to the variance of the zero-live current ratio of the target user, it is determined whether the target user is a diversion power theft user or a common zero line user.

2. The method for identifying users of electricity theft according to claim 1, characterized in that: The statistical value of the neutral line current value and the live line current value is the average value of the neutral line current value and the live line current value.

3. The method for identifying users of electricity theft according to claim 2, characterized in that: The target users whose absolute value of the statistical value of the live current value is greater than the preset live current threshold and whose ratio of the average absolute value of the live and neutral current is less than the preset ratio threshold include: L Greater than 0.05, As the target user, I N is the absolute value of the mean value of the neutral current.

4. The method for identifying users of electricity theft according to claim 1, characterized in that: The variance of the zero-live current ratio of the target user selected by calculation at multiple time points includes: Filter out multiple time points at which the absolute value of the live line current value is greater than a preset screening threshold value from the target user, and obtain the neutral line current value and the live line current value of each filtered time point; Calculate the zero-live current ratio at each screened time point; Calculate the variance of the zero-to-live current ratio at each screened time point.

5. The method for identifying users of electricity theft according to claim 4, characterized in that: The method of screening out multiple time points from the target user whose absolute value of the live line current value is greater than a preset screening threshold also includes: if the number of time points where the absolute value of the live line current value is greater than the preset screening threshold exceeds the preset number of time points, then taking the first N time points in order of time points as the screened time points, where N is a preset number.

6. The method for identifying users of electricity theft by diversion according to any one of claims 1 to 5, characterized in that: The method of judging whether the target user is a shunt power stealing user or a common zero line user according to the variance of the target user's zero-to-live current ratio comprises: judging the variance of the target user's zero-to-live current ratio, and judging the target user as a shunt power stealing user or a non-common zero line user if the variance is less than a preset threshold.

7. The method for identifying users of electricity theft according to claim 6, characterized in that: The preset threshold is 0.1, that is, if the variance of the zero-live current ratio of the target user is less than 0.1, it is determined to be a diversion electricity theft user and a non-neutral line user.

8. A device for identifying users of electricity theft, characterized in that: include: A data acquisition module is used to respectively acquire the neutral line current value and the live line current value of each user in the measured area at multiple time points; The first calculation module is used to calculate the absolute value of the statistical value of the neutral line current value and the live line current value of each user at each time point; A screening module is used to screen out target users whose absolute value of the statistical value of the live current value is greater than a preset threshold and whose ratio of the absolute value of the live and neutral current mean values ​​is less than a preset ratio threshold, wherein the ratio of the absolute value of the live and neutral current mean values ​​is the ratio between the absolute value of the live current mean value and the absolute value of the neutral current mean value; The second calculation module is used to calculate the variance of the zero-live current ratio of the selected target user at multiple time points; The identification module is used to identify whether the target user is a diversion and electricity theft user according to the variance of the zero-live current ratio of the target user.

9. An electronic device comprising a processor and a memory, wherein the memory is used to store a computer program, wherein: The processor is configured to execute the computer program to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed, the method according to any one of claims 1 to 7 is implemented.

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