Early warning method, device and system for electricity stealing behavior of single-phase ammeter, medium and product

Abstract

The invention discloses an early warning method, device and system for an electricity stealing behavior of a single-phase ammeter, a medium and a product, and belongs to the field of power systems, and the method comprises the steps: obtaining the first live line current, the first zero line current and the electricity utilization condition of a plurality of single-phase ammeters in a to-be-detected region; determining a plurality of first electricity larceny risk users based on each first live wire current and each first zero wire current, determining a plurality of second electricity larceny risk users based on each first electricity larceny risk user, and calculating current characteristics of each first electricity larceny risk user and each second electricity larceny risk user, determining a plurality of third electricity larceny risk users based on the current characteristics, and inputting the electricity consumption conditions corresponding to the third electricity larceny risk users into a preset electricity larceny evaluation model to obtain a plurality of electricity larceny scores; and determining a target electricity stealing user based on each electricity stealing score, and performing early warning on electricity stealing of a single-phase ammeter of the target electricity stealing user. According to the invention, the early warning efficiency and accuracy of the electricity stealing behavior of the single-phase ammeter can be improved.

Description

Technical Field

[0001] This invention relates to the field of power systems, and more particularly to methods, devices, systems, media, and products for early warning of electricity theft by single-phase meters. Background Technology

[0002] In power systems, single-phase electricity meters are key devices for measuring users' electricity consumption, and their accuracy directly affects the economic benefits of power companies and the fairness of the electricity market. However, electricity theft seriously disrupts normal electricity consumption and causes huge economic losses to power companies, thus necessitating early warning systems for electricity theft.

[0003] In existing technologies, traditional electricity theft early warning methods mainly rely on on-site manual inspections or reports from others. This not only consumes a lot of manpower, material resources, and time, but also has low work efficiency and makes it difficult to detect well-hidden electricity theft in a timely manner, resulting in low efficiency of electricity theft early warning. At the same time, some existing electricity theft analysis methods based on a single data source rely on only one type of electrical energy data for analysis. Due to the single data dimension, the accuracy of electricity theft identification is not high, and there are many cases of false positives and false negatives, ultimately resulting in poor accuracy of electricity theft early warning. Summary of the Invention

[0004] This invention provides a method, device, system, medium, and product for early warning of electricity theft using single-phase electricity meters, which can improve the efficiency and accuracy of early warning of electricity theft using single-phase electricity meters.

[0005] In a first aspect, an embodiment of the present invention provides a method for early warning of electricity theft using a single-phase electricity meter, comprising:

[0006] Obtain the first live wire current, first neutral wire current, and power consumption of several single-phase meters in the area to be tested;

[0007] Based on the first live wire current and the first neutral wire current, several first electricity theft risk users are determined, and based on the first electricity theft risk users, several second electricity theft risk users are determined. The current characteristics of each first electricity theft risk user and each second electricity theft risk user are calculated. Based on the current characteristics, several third electricity theft risk users are determined. The electricity consumption situation corresponding to each third electricity theft risk user is input into a preset electricity theft assessment model to obtain several electricity theft scores.

[0008] Based on the aforementioned electricity theft scores, target electricity theft users are identified, and warnings are issued for single-phase electricity theft by the target electricity theft users.

[0009] By directly collecting the first live wire current, first neutral wire current, and electricity usage data from the single-phase meter being tested, human error can be avoided, initially ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Based on the first live wire current and first neutral wire current, the first risky electricity theft user can be preliminarily identified, allowing for rapid screening of users with abnormal live and neutral currents, reducing redundant workload and ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Furthermore, based on the first risky electricity theft user, the second risky electricity theft user can be identified, and current characteristics can be calculated to determine the third risky electricity theft user where there is no shared neutral wire, thus solving the problem of uneven live and neutral wire currents in traditional methods. This application addresses the misjudgment problem of the balance algorithm, further improving the efficiency and accuracy of early warning for single-phase electricity theft. Subsequently, the electricity consumption data of each third-party electricity theft risk user is input into a preset electricity theft assessment model for scoring, achieving rapid fusion and judgment of multi-dimensional data, significantly improving the efficiency and accuracy of early warning for single-phase electricity theft. Based on the electricity theft score, target electricity theft users are identified, avoiding the bias of manual identification. Early warnings are then issued for single-phase electricity theft by these target users, providing precise targeting for electricity theft investigation, ultimately achieving a dual improvement in the efficiency and accuracy of early warning for single-phase electricity theft. This application can improve the efficiency and accuracy of early warning for single-phase electricity theft.

[0010] Furthermore, before acquiring the first live wire current, first neutral wire current, and power consumption status of several single-phase meters within the test area, the method further includes:

[0011] Obtain the power supply and power consumption of several transformer substations within the power grid operation and maintenance area;

[0012] Based on the power supply and power consumption of each item, the line loss rate is calculated.

[0013] Based on the line loss rate, several abnormal stations are determined, and based on the abnormal stations, the area to be tested is determined.

[0014] By first calculating the line loss rate of each transformer substation within the power grid operation and maintenance area, and then identifying abnormal transformer substations as test areas based on the line loss rate, the amount of redundant data processing can be significantly reduced. At the same time, there is a strong correlation between abnormal line loss and electricity theft. Using abnormal transformer substations as test areas can accurately narrow down the investigation scope, reduce the possibility of misjudging users in normal transformer substations, and improve the efficiency and accuracy of early warning of electricity theft by single-phase meters.

[0015] Furthermore, the determination of several first electricity theft risk users based on each first live wire current and each first neutral wire current specifically includes:

[0016] Based on each of the first live wire current and the first neutral wire current, several first current differences are calculated;

[0017] Based on the differences in the first current and the current of the first live wire, several percentage values ​​are calculated.

[0018] Each of the stated percentage values ​​is determined to be greater than a preset percentage threshold. If it is greater, the corresponding single-phase electricity meter is identified as the fourth user at risk of electricity theft.

[0019] Determine whether the second neutral current of each of the fourth electricity theft risk users is greater than a preset neutral threshold. If it is greater, then the fourth electricity theft risk user is identified as the first electricity theft risk user.

[0020] This step-by-step screening logic, which calculates the first current difference, calculates the percentage value, filters out fourth-risk users whose percentage exceeds the preset percentage threshold, and judges whether the neutral current exceeds the preset neutral current threshold, not only reduces the number of suspected users that need to be processed later and improves the efficiency of the early warning process, but also reduces the false judgment rate in the initial screening stage through dual screening standards, ensuring accurate early warning in the later stage, thereby improving the efficiency and accuracy of early warning for single-phase electricity meter theft behavior.

[0021] Furthermore, the calculation of the current characteristics of each of the first and second electricity theft risk users specifically includes:

[0022] Based on the second live wire current of each of the first electricity theft risk users and the third live wire current of each of the second electricity theft risk users, several total live wire values ​​are calculated.

[0023] Based on the third neutral current of each of the first electricity theft risk users and the fourth neutral current of each of the second electricity theft risk users, several total neutral values ​​are calculated.

[0024] Based on the total live wire value and the total neutral wire value, several second current differences are calculated.

[0025] The current characteristics are calculated based on each of the second current differences and each of the total live wire values.

[0026] By calculating the total live wire value, total neutral wire value, and corresponding current characteristics of the first and second users at risk of electricity theft, the current patterns of users with shared neutral wires can be accurately captured. This can effectively distinguish between genuine live-neutral imbalance (potential for electricity theft) and false live-neutral imbalance caused by shared neutral wires, avoiding invalid warnings. Furthermore, the quantitative current characteristics enable rapid identification and removal of users with shared neutral wires, saving labor costs, improving the efficiency of the warning process, and ultimately enhancing the efficiency and accuracy of warnings for electricity theft by single-phase meters.

[0027] Furthermore, the step of inputting the electricity consumption data corresponding to each of the third electricity theft risk users into a preset electricity theft assessment model to obtain several electricity theft scores specifically includes:

[0028] Each of the third electricity theft risk users is judged to determine whether their historical electricity consumption meets the preset abnormal electricity conditions, and several first judgment results are determined. Based on each of the first judgment results, several abnormal electricity weights are determined. The electricity consumption includes historical electricity consumption and meter opening records.

[0029] Determine whether each of the meter opening records meets the preset opening abnormal conditions, and determine several second determination results, and determine several opening abnormal weights based on each of the second determination results;

[0030] Based on the abnormal power consumption weights and abnormal cover opening weights, several electricity theft scores are obtained.

[0031] This approach utilizes historical electricity consumption data (reflecting whether a user is circumventing electricity metering) and meter opening records (reflecting whether a user is using equipment to steal electricity) to determine abnormal electricity consumption weights and meter opening abnormality weights, respectively. Based on these weights, several electricity theft scores are obtained, achieving multi-dimensional data fusion and judgment, improving the accuracy of the scoring. Furthermore, by assigning weights, qualitative abnormal characteristics are transformed into quantitative electricity theft scores, facilitating the rapid identification of high-risk electricity theft users, thereby improving the efficiency of electricity theft location and ultimately enhancing the efficiency and accuracy of single-phase meter electricity theft warning.

[0032] Furthermore, the step of determining a plurality of second electricity theft risk users based on each of the first electricity theft risk users specifically includes:

[0033] Obtain the address and transformer substation information of each of the first users at risk of electricity theft;

[0034] Based on the information of each of the aforementioned transformer substations, each of the first users at risk of electricity theft is divided into several user sets;

[0035] Each of the addresses is input into a preset address model so that the preset address model performs address matching in the corresponding user set to identify several users at risk of second electricity theft.

[0036] By dividing the user set according to the information of the transformer substation, the address matching range is limited to the same transformer substation. This reduces the data processing volume of the preset address model, shortens the matching time, and improves the efficiency of identifying the second electricity theft risk user. At the same time, the close connection of circuits in the same transformer substation can improve the accuracy of screening similar address users, ensuring that the second electricity theft risk user found is a valid associated object, so as to eliminate false judgments in the subsequent elimination process, and ultimately improve the efficiency and accuracy of the early warning of electricity theft behavior of single-phase electricity meters.

[0037] Secondly, an embodiment of the present invention provides an early warning device for electricity theft in a single-phase electricity meter, comprising a first module, a second module, and a third module;

[0038] The first module is used to acquire the first live wire current, the first neutral wire current, and the power consumption status of several single-phase meters in the area to be tested.

[0039] The second module is used to determine a number of first electricity theft risk users based on each first live wire current and each first neutral wire current, determine a number of second electricity theft risk users based on each first electricity theft risk user, calculate the current characteristics of each first electricity theft risk user and each second electricity theft risk user, determine a number of third electricity theft risk users based on the current characteristics, and input the electricity consumption situation corresponding to each third electricity theft risk user into a preset electricity theft assessment model to obtain a number of electricity theft scores.

[0040] The third module is used to identify target electricity theft users based on each of the electricity theft scores, and to issue an early warning for single-phase electricity theft by the target electricity theft users.

[0041] This approach, by directly collecting the first live wire current, first neutral wire current, and electricity usage data from the tested single-phase meter via the first module, avoids human error and initially ensures the efficiency and accuracy of single-phase meter electricity theft warnings. The second module, based on the first live wire current and first neutral wire current, initially identifies the first risky electricity theft user, quickly filtering users with abnormal live and neutral currents, reducing redundant workload and ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Then, based on the first risky electricity theft user, a second risky electricity theft user is identified, and current characteristics are calculated to identify a third risky electricity theft user without a shared neutral wire, thus solving the problems inherent in traditional live and neutral wire theft methods. This application addresses the misjudgment problem in imbalanced algorithms, further improving the efficiency and accuracy of early warning for single-phase electricity theft. Subsequently, the electricity consumption data of each third-party electricity theft risk user is input into a pre-set electricity theft assessment model for scoring, enabling rapid fusion and judgment of multi-dimensional data, significantly improving the efficiency and accuracy of early warning for single-phase electricity theft. The third module identifies target electricity theft users based on the theft scores, avoiding bias from manual identification, and then issues early warnings for single-phase electricity theft by these target users, providing precise targeting for electricity theft investigation. Ultimately, this achieves a dual improvement in the efficiency and accuracy of early warning for single-phase electricity theft. This application can improve the efficiency and accuracy of early warning for single-phase electricity theft.

[0042] Thirdly, another embodiment of the present invention provides a terminal device, including: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0043] The memory is used to store at least one executable instruction that causes the processor to perform an operation of a method for warning of electricity theft by a single-phase meter.

[0044] Fourthly, another embodiment of the present invention provides a computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, a method for issuing an early warning for single-phase electricity theft is controlled in the device or apparatus containing the computer-readable storage medium.

[0045] Fifthly, another embodiment of the present invention provides a computer program product, including a computer program or instructions, wherein when the computer program or instructions are executed by a communication device, a method for early warning of electricity theft by a single-phase electricity meter is implemented. Attached Figure Description

[0046] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating one embodiment of a method for early warning of electricity theft using a single-phase electricity meter provided in this application;

[0048] Figure 2 This is a schematic diagram of the structure of an early warning device for electricity theft in a single-phase electricity meter provided in this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0051] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0052] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0053] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0054] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0055] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0056] In the power system sector, the accuracy of single-phase electricity meters is crucial to the profitability of power companies and the fairness of the electricity market. However, electricity theft not only disrupts electricity consumption order but also causes huge economic losses, necessitating effective early warning methods. Existing technologies have significant shortcomings: traditional early warning systems rely on manual inspections or reports from others, which are costly in terms of manpower and time, inefficient, and difficult to detect hidden electricity theft in a timely manner; some analysis methods based on single data have low accuracy in identifying electricity theft due to the limited data dimensions, resulting in many false positives and false negatives, ultimately leading to poor early warning effects for electricity theft.

[0057] See Figure 1 To improve the efficiency and accuracy of early warning for electricity theft by single-phase electricity meters, an embodiment of the present invention provides an early warning method for electricity theft by single-phase electricity meters, including steps S101 to S103.

[0058] Step S101: Obtain the first live wire current, first neutral wire current, and power consumption status of several single-phase meters in the area to be tested;

[0059] In some embodiments, before obtaining the first live wire current, first neutral wire current, and power consumption of several single-phase meters in the area to be tested, the method further includes: obtaining the power supply and power consumption of several transformer substations in the power grid operation and maintenance area; calculating the line loss rate based on each of the power supply and power consumption; determining several abnormal transformer substations based on each of the line loss rates; and determining the area to be tested based on each of the abnormal transformer substations.

[0060] Specifically, the total power output of the distribution transformers in each distribution area within a preset time period (e.g., 3 calendar months, counted as one cycle) and the total electricity consumption of all single-phase meters in each distribution area are obtained through the power grid operation and maintenance system interface. The line loss rate of each distribution area is calculated using the line loss rate calculation formula. If the line loss rate of a certain distribution area exceeds the preset line loss rate range (e.g., 3%-8%) within a preset continuous period (e.g., 3 cycles), the distribution area is determined to be an abnormal distribution area. The power supply coverage area of ​​all abnormal distribution areas is designated as the area to be tested.

[0061] By first calculating the line loss rate of each transformer substation within the power grid operation and maintenance area, and then identifying abnormal transformer substations as test areas based on the line loss rate, the amount of redundant data processing can be significantly reduced. At the same time, there is a strong correlation between abnormal line loss and electricity theft. Using abnormal transformer substations as test areas can accurately narrow down the investigation scope, reduce the possibility of misjudging users in normal transformer substations, and improve the efficiency and accuracy of early warning of electricity theft by single-phase meters.

[0062] In some embodiments, acquiring the first live wire current, first neutral wire current, and electricity consumption status of several single-phase meters in the area to be tested includes: automatically logging into the power system data platform via an RPA (robotic process automation) process robot, setting up a survey task, and acquiring the live wire current and neutral wire current data of all single-phase meters in the area to be tested during peak electricity consumption periods (e.g., 19:00-22:00) at preset collection cycles (e.g., every two days); automatically downloading the data and storing it in a designated database after acquisition; and simultaneously extracting the user's historical electricity consumption data and meter opening records corresponding to each meter from the system to form a preliminary dataset.

[0063] Step S102: Based on the first live wire current and the first neutral wire current, determine a number of first electricity theft risk users, determine a number of second electricity theft risk users based on the first electricity theft risk users, calculate the current characteristics of each first electricity theft risk user and each second electricity theft risk user, determine a number of third electricity theft risk users based on the current characteristics, and input the electricity consumption situation corresponding to each third electricity theft risk user into a preset electricity theft assessment model to obtain a number of electricity theft scores;

[0064] In some embodiments, determining a plurality of first electricity theft risk users based on each first live wire current and each first neutral wire current specifically includes: calculating a plurality of first current differences based on each first live wire current and each first neutral wire current; calculating a plurality of percentage values ​​based on each first current difference and each first live wire current; determining whether each percentage value is greater than a preset percentage threshold; if it is greater, determining the corresponding single-phase meter as a fourth electricity theft risk user; determining whether the second neutral wire current of each fourth electricity theft risk user is greater than a preset neutral wire threshold; if it is greater, determining the fourth electricity theft risk user as a first electricity theft risk user.

[0065] Specifically, the current of each first live wire and the current of each first neutral wire are subtracted to obtain several first current differences. Each first current difference is then divided by each first live wire current to obtain several percentage values. Each percentage value is then checked to see if it is greater than a preset percentage threshold (e.g., greater than 30%). If it is, the corresponding single-phase meter is identified as the fourth electricity theft risk user. The second neutral wire current of each fourth electricity theft risk user is then checked to see if it is greater than a preset neutral wire threshold (e.g., 1A). If it is, the fourth electricity theft risk user is identified as the first electricity theft risk user.

[0066] This step-by-step screening logic, which calculates the first current difference, calculates the percentage value, filters out fourth-risk users whose percentage exceeds the preset percentage threshold, and judges whether the neutral current exceeds the preset neutral current threshold, not only reduces the number of suspected users that need to be processed later and improves the efficiency of the early warning process, but also reduces the false judgment rate in the initial screening stage through dual screening standards, ensuring accurate early warning in the later stage, thereby improving the efficiency and accuracy of early warning for single-phase electricity meter theft behavior.

[0067] In some embodiments, determining a plurality of second electricity theft risk users based on each of the first electricity theft risk users specifically includes: obtaining the address and substation information of each of the first electricity theft risk users; dividing each of the first electricity theft risk users into a plurality of user sets by combining the substation information; and inputting each of the addresses into a preset address model so that the preset address model performs address matching in the corresponding user sets to determine a plurality of second electricity theft risk users.

[0068] Specifically, the addresses (including administrative divisions, street names, house numbers, and building numbers) and unique identifiers of the transformer substations to which each user at risk of first-order electricity theft are first obtained. All users at risk of first-order electricity theft are grouped according to their transformer substation identifiers, and users at risk of first-order electricity theft in the same transformer substation are grouped into one user set to ensure that matching is only performed within the same transformer substation. A preset address model (such as a semantic matching model based on a large AI model) searches for other users in the user set of their respective transformer substations whose address similarity is higher than a set threshold (such as 90%), and determines these users as users at risk of second-order electricity theft.

[0069] By dividing the user set according to the information of the transformer substation, the address matching range is limited to the same transformer substation. This reduces the data processing volume of the preset address model, shortens the matching time, and improves the efficiency of identifying the second electricity theft risk user. At the same time, the close connection of circuits in the same transformer substation can improve the accuracy of screening similar address users, ensuring that the second electricity theft risk user found is a valid associated object, so as to eliminate false judgments in the subsequent elimination process, and ultimately improve the efficiency and accuracy of the early warning of electricity theft behavior of single-phase electricity meters.

[0070] In some embodiments, calculating the current characteristics of each first electricity theft risk user and each second electricity theft risk user specifically includes: calculating a plurality of total live wire values ​​based on the second live wire current of each first electricity theft risk user and the third live wire current of each second electricity theft risk user; calculating a plurality of total neutral wire values ​​based on the third neutral wire current of each first electricity theft risk user and the fourth neutral wire current of each second electricity theft risk user; calculating a plurality of second current difference values ​​based on each total live wire value and each total neutral wire value; and calculating the current characteristics based on each second current difference and each total live wire value.

[0071] Specifically, the second live wire current of each of the first electricity theft risk users and the third live wire current of each of the second electricity theft risk users are added together to obtain several total live wire values; the third neutral wire current of each of the first electricity theft risk users and the fourth neutral wire current of each of the second electricity theft risk users are added together to obtain several total neutral wire values; the total live wire values ​​and the total neutral wire values ​​are subtracted from each total live wire value to obtain several second current difference values; the second current difference values ​​and the total live wire values ​​are divided to obtain the current characteristic.

[0072] In some embodiments, the formulas for calculating the current characteristics of each first electricity theft risk user and each second electricity theft risk user specifically include:

[0073] Formula for calculating current characteristics:

[0074]

[0075] In the formula, ε represents the current characteristic; I1live represents the live wire current of the first user at risk of electricity theft; I2live represents the live wire current of the second user at risk of electricity theft; I1zero represents the neutral wire current of the first user at risk of electricity theft; and I2zero represents the neutral wire current of the second user at risk of electricity theft.

[0076] It should be noted that the purpose of the denominator in the current characteristic calculation formula is to reflect the relative difference between the sum of the live and neutral wires of the two users, rather than the absolute difference. For example, if one user has a live wire current of 50A and a neutral wire current of 20A, while another user has a live wire current of 20A and a neutral wire current of 48A, if the numerator formula in the current characteristic calculation formula is used directly, the result will be 2A. The absolute value of this difference is large, but the instantaneous current difference of 2A is not large in a large current of 50A. Therefore, the influence of instantaneous current error is reduced by increasing the denominator.

[0077] By calculating the total live wire value, total neutral wire value, and corresponding current characteristics of the first and second users at risk of electricity theft, the current patterns of users with shared neutral wires can be accurately captured. This can effectively distinguish between genuine live-neutral imbalance (potential for electricity theft) and false live-neutral imbalance caused by shared neutral wires, avoiding invalid warnings. Furthermore, the quantitative current characteristics enable rapid identification and removal of users with shared neutral wires, saving labor costs, improving the efficiency of the warning process, and ultimately enhancing the efficiency and accuracy of warnings for electricity theft by single-phase meters.

[0078] In some embodiments, determining several third electricity theft risk users based on the current characteristics includes: if the current characteristics of a first electricity theft risk user and its corresponding second electricity theft risk user are less than a preset characteristic threshold (e.g., 10%), it indicates that the total live wire value and the total neutral wire value of the two users are approximately equal, which conforms to the current law under the common neutral wiring scenario. The first electricity theft risk user is determined to be a common neutral misjudgment user and removed from the electricity theft risk users; if the current characteristics are greater than or equal to the preset characteristic threshold, it indicates that the total current of the two users is unbalanced between live and neutral wires. Common neutral interference is eliminated, and the first electricity theft risk user is determined to be a third electricity theft risk user.

[0079] In some embodiments, the step of inputting the electricity consumption information corresponding to each of the third electricity theft risk users into a preset electricity theft assessment model to obtain several electricity theft scores specifically includes: determining whether the historical electricity consumption of each of the third electricity theft risk users meets preset electricity anomaly conditions, and determining several first determination results; determining several electricity anomaly weights based on each of the first determination results, wherein the electricity consumption information includes historical electricity consumption and meter opening records; determining whether each of the meter opening records meets preset opening anomaly conditions, and determining several second determination results; determining several opening anomaly weights based on each of the second determination results; and obtaining several electricity theft scores based on each of the electricity anomaly weights and each of the opening anomaly weights.

[0080] Specifically, the historical electricity consumption and meter opening records of third-party electricity theft risk users are input into a preset electricity theft assessment model. The preset model determines whether each third-party electricity theft risk user has a consistent annual average electricity consumption or spring and summer electricity consumption based on their historical electricity consumption. A first judgment result is determined: if the first judgment result indicates the presence of such a user, the abnormal electricity consumption weight is set to 1; if the first judgment result indicates the absence of such a user, the abnormal electricity consumption weight is set to 0. The preset electricity theft assessment model then determines whether each third-party electricity theft risk user has a consistent annual average electricity consumption or spring and summer electricity consumption based on their meter opening records. Records are generated for meter opening starts and ends within a preset opening time period (e.g., 22:00-4:00) and the total opening time is within a preset opening time range (e.g., 20 minutes-90 minutes). A second judgment result is determined. If the second judgment result indicates that there is a record, the opening anomaly weight is set to 1. If the second judgment result indicates that there is no record, the opening anomaly weight is set to 0. The weight coefficients α and β of the electricity anomaly weight and the opening anomaly weight are initialized (e.g., both are set to an initial value of 0.5). The electricity theft score of each third electricity theft risk user is calculated using the electricity theft scoring formula.

[0081] In some embodiments, the step of inputting the electricity consumption data corresponding to each of the third electricity theft risk users into a preset electricity theft assessment model to obtain several relevant formulas for electricity theft scores specifically includes:

[0082] In some embodiments, the electricity theft scoring formula is specifically as follows:

[0083]

[0084] In the formula, The rating represents the electricity theft score; A represents the abnormal weight of electricity consumption; B represents the abnormal weight of opening the cover; α represents the weight coefficient of the abnormal weight of electricity consumption; β represents the weight coefficient of the abnormal weight of opening the cover.

[0085] It should be noted that each time a warning is issued for electricity theft by a single-phase meter based on the warning signal, the weighting coefficients of abnormal electricity consumption and abnormal meter opening can be dynamically adjusted according to the results of the on-site investigation, so as to increase or decrease the weight of meter opening records and abnormal electricity consumption in the determination of electricity theft.

[0086] This approach utilizes historical electricity consumption data (reflecting whether a user is circumventing electricity metering) and meter opening records (reflecting whether a user is using equipment to steal electricity) to determine abnormal electricity consumption weights and meter opening abnormality weights, respectively. Based on these weights, several electricity theft scores are obtained, achieving multi-dimensional data fusion and judgment, improving the accuracy of the scoring. Furthermore, by assigning weights, qualitative abnormal characteristics are transformed into quantitative electricity theft scores, facilitating the rapid identification of high-risk electricity theft users, thereby improving the efficiency of electricity theft location and ultimately enhancing the efficiency and accuracy of single-phase meter electricity theft warning.

[0087] Step S103: Based on each of the electricity theft scores, determine the target electricity theft users and issue an early warning for single-phase electricity theft by the target electricity theft users;

[0088] In some embodiments, determining the target electricity theft user based on each of the electricity theft scores includes: setting an electricity theft score threshold (e.g., 0.5), and determining users whose electricity theft scores are greater than or equal to the electricity theft score threshold as target electricity theft users.

[0089] In some embodiments, the step of issuing an early warning for single-phase electricity theft by the target electricity theft user includes: generating early warning information based on the target electricity theft user, the early warning information including the number of the single-phase electricity meter corresponding to the target electricity theft user, the address of the target electricity theft user and the electricity theft score, pushing the early warning information to the staff terminal in the corresponding area to require on-site personnel to conduct on-site electricity theft investigation, and recording the early warning time, content and push status to form a log file for subsequent traceability and analysis.

[0090] By directly collecting the first live wire current, first neutral wire current, and electricity usage data from the single-phase meter being tested, human error can be avoided, initially ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Based on the first live wire current and first neutral wire current, the first risky electricity theft user can be preliminarily identified, allowing for rapid screening of users with abnormal live and neutral currents, reducing redundant workload and ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Furthermore, based on the first risky electricity theft user, the second risky electricity theft user can be identified, and current characteristics can be calculated to determine the third risky electricity theft user where there is no shared neutral wire, thus solving the problem of uneven live and neutral wire currents in traditional methods. This application addresses the misjudgment problem of the balance algorithm, further improving the efficiency and accuracy of early warning for single-phase electricity theft. Subsequently, the electricity consumption data of each third-party electricity theft risk user is input into a preset electricity theft assessment model for scoring, achieving rapid fusion and judgment of multi-dimensional data, significantly improving the efficiency and accuracy of early warning for single-phase electricity theft. Based on the electricity theft score, target electricity theft users are identified, avoiding the bias of manual identification. Early warnings are then issued for single-phase electricity theft by these target users, providing precise targeting for electricity theft investigation, ultimately achieving a dual improvement in the efficiency and accuracy of early warning for single-phase electricity theft. This application can improve the efficiency and accuracy of early warning for single-phase electricity theft.

[0091] See Figure 2 Based on the above method embodiments, corresponding device embodiments are provided;

[0092] One embodiment of the present invention provides an early warning device for electricity theft by a single-phase electricity meter, comprising a first module 100, a second module 200, and a third module 300;

[0093] The first module 100 is used to acquire the first live wire current, the first neutral wire current, and the power consumption status of several single-phase meters in the area to be tested.

[0094] The second module 200 is used to determine a number of first electricity theft risk users based on each first live wire current and each first neutral wire current, determine a number of second electricity theft risk users based on each first electricity theft risk user, calculate the current characteristics of each first electricity theft risk user and each second electricity theft risk user, determine a number of third electricity theft risk users based on the current characteristics, and input the electricity consumption situation corresponding to each third electricity theft risk user into a preset electricity theft assessment model to obtain a number of electricity theft scores.

[0095] The third module 300 is used to determine the target electricity theft user based on each of the electricity theft scores, and to issue an early warning for the single-phase electricity theft of the target electricity theft user.

[0096] This approach, by directly collecting the first live wire current, first neutral wire current, and electricity usage data from the tested single-phase meter via the first module, avoids human error and initially ensures the efficiency and accuracy of single-phase meter electricity theft warnings. The second module, based on the first live wire current and first neutral wire current, initially identifies the first risky electricity theft user, quickly filtering users with abnormal live and neutral currents, reducing redundant workload and ensuring the efficiency and accuracy of single-phase meter electricity theft warnings. Then, based on the first risky electricity theft user, a second risky electricity theft user is identified, and current characteristics are calculated to identify a third risky electricity theft user without a shared neutral wire, thus solving the problems inherent in traditional live and neutral wire theft methods. This application addresses the misjudgment problem in imbalanced algorithms, further improving the efficiency and accuracy of early warning for single-phase electricity theft. Subsequently, the electricity consumption data of each third-party electricity theft risk user is input into a pre-set electricity theft assessment model for scoring, enabling rapid fusion and judgment of multi-dimensional data, significantly improving the efficiency and accuracy of early warning for single-phase electricity theft. The third module identifies target electricity theft users based on the theft scores, avoiding bias from manual identification, and then issues early warnings for single-phase electricity theft by these target users, providing precise targeting for electricity theft investigation. Ultimately, this achieves a dual improvement in the efficiency and accuracy of early warning for single-phase electricity theft. This application can improve the efficiency and accuracy of early warning for single-phase electricity theft.

[0097] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can realize the early warning method for electricity theft behavior of single-phase electricity meters provided by any of the above-described method embodiments of the present invention.

[0098] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0099] Based on the above-described embodiment of a method for early warning of electricity theft by a single-phase electricity meter, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for early warning of electricity theft by a single-phase electricity meter according to any embodiment of the present invention.

[0100] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0101] The terminal device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0102] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting all parts of the terminal device via various interfaces and lines.

[0103] Based on the above-described method embodiments, another embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the early warning method for electricity theft by a single-phase meter as described in any of the above-described method embodiments of the present invention.

[0104] The modules / units integrated in the device / terminal equipment, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0105] Based on the above-described method embodiments, another embodiment of the present invention provides a computer program product, including a computer program or instructions, which, when executed by a communication device, implements a method for early warning of electricity theft by a single-phase meter according to any embodiment of the present invention.

[0106] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A single-phase electricity meter electricity theft behavior early warning method, characterized in that, The method comprises: obtaining first firewire currents, first zero line currents and power consumption of a plurality of single-phase electric meters in a to-be-tested area; determining a plurality of first electricity-stealing risk users based on the first firewire currents and the first zero line currents, determining a plurality of second electricity-stealing risk users based on the first electricity-stealing risk users, calculating current characteristics of the first electricity-stealing risk users and the second electricity-stealing risk users, determining a plurality of third electricity-stealing risk users based on the current characteristics, inputting the power consumption corresponding to each of the third electricity-stealing risk users into a preset electricity-stealing evaluation model to obtain a plurality of electricity-stealing scores; determining a target electricity-stealing user based on the electricity-stealing scores and warning the single-phase electric meter of the target electricity-stealing user of electricity stealing.

2. The method of claim 1, wherein the method comprises: Before the step of obtaining the first firewire currents, the first zero line currents and the power consumption of the plurality of single-phase electric meters in the to-be-tested area, the method further comprises: obtaining power supply quantities and power consumption quantities of a plurality of transformer areas in a power grid operation and maintenance area; calculating line loss rates based on the power supply quantities and the power consumption quantities; determining a plurality of abnormal transformer areas based on the line loss rates and determining the to-be-tested area based on the abnormal transformer areas.

3. The method of claim 1, wherein the method comprises: The step of determining a plurality of first electricity-stealing risk users based on the first firewire currents and the first zero line currents specifically comprises: calculating a plurality of first current difference values based on the first firewire currents and the first zero line currents; calculating a plurality of proportion values based on the first current difference values and the first firewire currents; determining whether each of the proportion values is greater than a preset proportion threshold value, and if so, determining the corresponding single-phase electric meter as a fourth electricity-stealing risk user; determining whether the second zero line current of each of the fourth electricity-stealing risk users is greater than a preset zero line threshold value, and if so, determining the fourth electricity-stealing risk user as the first electricity-stealing risk user.

4. The method of claim 1, wherein the method comprises: The step of calculating current characteristics of the first electricity-stealing risk users and the second electricity-stealing risk users specifically comprises: calculating a plurality of total firewire values based on second firewire currents of the first electricity-stealing risk users and third firewire currents of the second electricity-stealing risk users; calculating a plurality of total zero line values based on third zero line currents of the first electricity-stealing risk users and fourth zero line currents of the second electricity-stealing risk users; calculating a plurality of second current difference values based on the total firewire values and the total zero line values; calculating the current characteristics based on the second current difference values and the total firewire values.

5. The method of claim 1, wherein the method comprises: The step of inputting the power consumption corresponding to each of the third electricity-stealing risk users into a preset electricity-stealing evaluation model to obtain a plurality of electricity-stealing scores specifically comprises: determining whether the historical power consumption of each of the third electricity-stealing risk users satisfies a preset power consumption anomaly condition and determining a plurality of first determination results based on the first determination results, wherein the power consumption includes historical power consumption and electric meter cover opening records; determining whether each of the electric meter cover opening records satisfies a preset cover opening anomaly condition and determining a plurality of second determination results based on the second determination results; determining a plurality of cover opening anomaly weights based on the second determination results; Based on each of the electricity abnormal weight and each of the cover abnormal weight, obtain several electricity stealing scores.

6. The method of claim 1, wherein the method further comprises: The first electricity stealing risk user is determined based on the first electricity stealing risk user. Obtain the address of each of the first electricity stealing risk user and the information of the corresponding area; Divide each of the first electricity stealing risk user according to the corresponding area information, and obtain several user sets; Input each of the address into a preset address model, so that the preset address model matches the address in the corresponding user set, and determines several second electricity stealing risk users.

7. A single phase electricity meter theft alert device characterized by, The first module, the second module and the third module are included. The first module is used to obtain the first fire line current, the first zero line current and the electricity consumption of several single-phase electric meters in a to-be-measured area. The second module is used to determine several first electricity stealing risk users based on each of the first fire line current and each of the first zero line current, determine several second electricity stealing risk users based on each of the first electricity stealing risk user, calculate the current characteristics of each of the first electricity stealing risk user and each of the second electricity stealing risk user, determine several third electricity stealing risk users based on the current characteristics, input the electricity consumption corresponding to each of the third electricity stealing risk user into a preset electricity stealing evaluation model, and obtain several electricity stealing scores. The third module is used to determine a target electricity stealing user based on each of the electricity stealing score, and give a warning for the single-phase electric meter electricity stealing of the target electricity stealing user.

8. A terminal device, comprising: The processor, the memory, the communication interface and the communication bus are used to complete the communication among each other. The memory is used to store at least one executable instruction, and the executable instruction makes the processor execute the operation of the single-phase electric meter electricity stealing behavior warning method in any one of claims 1 to 6. The computer readable storage medium includes a stored computer program, wherein when the computer program runs, the device or apparatus where the computer readable storage medium is located executes the single-phase electric meter electricity stealing behavior warning method in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer program or instruction is executed by the communication device to realize the single-phase electric meter electricity stealing behavior warning method in any one of claims 1 to 6.

10. A computer program product comprising computer programs or instructions, characterized in that, ​

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