Electricity theft identification method and system

Abstract

The present invention provides a method and system for identifying electricity theft, which includes: obtaining electricity theft events detected by a target electric energy meter within a set time period and their corresponding timestamps; classifying each electricity theft event; obtaining the electricity theft assessment requirements corresponding to each type of electricity theft event; judging whether the timestamps corresponding to the electricity theft events of each type of electricity theft event meet the electricity theft assessment requirements; and determining the current electricity theft event type as an electricity theft behavior when the timestamps corresponding to the electricity theft event of the current electricity theft event type meet the electricity theft assessment requirements. Thus, by classifying the electricity theft events detected by the electric energy meter within a certain period of time, respectively judging the relationship between the electricity theft timestamps of each type of electricity theft event type and its corresponding electricity theft assessment requirements, the real electricity theft behavior is identified, avoiding the problem of misjudgment of electricity theft by the electric energy meter after detecting the electricity theft event, improving the accuracy of identifying the electricity theft behavior, and improving the user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy meters, and in particular to a method and system for identifying electricity theft. Background Art

[0002] Electricity theft refers to the act of bypassing the energy meter or rendering it ineffective in some way, thereby evading the payment of electricity bills. At present, the anti-electricity theft technology of electronic energy meters is becoming more and more important in the energy meter industry. The energy meter markets in different countries and regions require anti-electricity theft measurement of energy meters to varying degrees. Every year, corresponding anti-electricity theft technologies are developed to target new electricity theft behaviors. Common electricity theft behaviors include: current reversal, strong magnetic interference, bypass, broken neutral wire, open meter cover, open tail cover, etc.

[0003] In the design of traditional electronic energy meters, some easy-to-operate electricity theft behaviors can be detected and processed, but in the actual operation process, there will be some misjudged electricity theft events due to non-human factors, such as false electricity theft alarms caused by the strong magnetic force of the near-infrared photoelectric head used for local communication, false electricity theft alarms caused by bypass events caused by human wiring errors, and false electricity theft alarms caused by current reversal caused by solar power generation equipment in the user's home. Such frequent false electricity theft alarms will make the user experience extremely poor. Therefore, how to accurately identify real electricity theft events has become an urgent problem to be solved. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method and system for identifying electricity theft, so as to overcome the problem in the prior art that misjudgment is prone to occur when detecting electricity theft behavior on an electric energy meter, thereby affecting the user experience.

[0005] An embodiment of the present invention provides a method for identifying electricity theft, comprising:

[0006] Obtain electricity theft events detected by the target electricity meter within a set time period and their corresponding timestamps;

[0007] Classify each electricity theft incident;

[0008] Obtain the electricity theft assessment requirements corresponding to each electricity theft event type;

[0009] Determine whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements;

[0010] When the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirement, the current electricity theft event type is determined as an electricity theft behavior.

[0011] Optionally, the types of electricity theft events include: current reversal events, strong magnetic interference events and bypass events.

[0012] Optionally, when the electricity theft event is a current reverse event, the step of determining whether a timestamp of the current reverse event corresponding to the electricity theft event meets the electricity theft assessment requirement includes:

[0013] Based on the timestamp of the electricity theft event corresponding to the current electricity theft event type, determine whether the occurrence time of the electricity theft event is within the set first time period;

[0014] When the occurrence time of any electricity theft event is not within the set first time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements;

[0015] When the occurrence time of any electricity theft event is within the set first time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement.

[0016] Optionally, when the electricity theft event is a strong magnetic interference event, the step of determining whether the timestamp of the electricity theft event corresponding to the strong magnetic interference event meets the electricity theft assessment requirement includes:

[0017] Determine the occurrence time of the electricity theft event based on the timestamp of the electricity theft event corresponding to the current electricity theft event type;

[0018] Determine whether there is a local communication event for the target electric energy meter during the time when the electricity theft event occurs;

[0019] When there is no local communication event at the target electric energy meter within the time of occurrence of any electricity theft event, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements;

[0020] When the target electric energy meter has a local communication event within the occurrence time of any electricity theft event, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement.

[0021] Optionally, when the electricity theft event is a bypass event, the step of determining whether a timestamp of the bypass event corresponding to the electricity theft event meets the electricity theft assessment requirement includes:

[0022] Based on the timestamp of the electricity theft event corresponding to the current electricity theft event type, determine whether the occurrence time of the electricity theft event is continuous;

[0023] When the occurrence time of the electricity theft events is discontinuous, determining whether the occurrence time of each electricity theft event is within the set second time period;

[0024] When the occurrence times of the electricity theft events are continuous or the occurrence time of any electricity theft event is not within the set second time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements;

[0025] When the occurrence time of any electricity theft event is within the set second time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement.

[0026] Optionally, the method further comprises:

[0027] An electricity theft alarm is triggered for the electricity theft behavior.

[0028] Optionally, before obtaining the electricity theft events detected by the target electric energy meter within a set time period and the corresponding timestamps thereof, the method further includes:

[0029] Turning on the electricity theft enabling switch of the target electric energy meter so that the target electric energy meter performs electricity theft event detection.

[0030] Optionally, the method further comprises:

[0031] When the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements, the current electricity theft event type is determined as a false electricity theft behavior;

[0032] Turn off the electricity stealing enabling switch of the target electric energy meter.

[0033] The embodiment of the present invention further provides a system for identifying electricity theft, including:

[0034] A first acquisition module is used to acquire electricity theft events detected by a target electric energy meter within a set time period and their corresponding timestamps;

[0035] A first processing module, used for classifying each electricity theft event;

[0036] A second acquisition module is used to obtain the electricity theft assessment requirements corresponding to each electricity theft event type;

[0037] The second processing module is used to determine whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements;

[0038] The third processing module is configured to determine the current electricity theft event type as an electricity theft behavior when the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirement.

[0039] An embodiment of the present invention further provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method provided by the embodiment of the present invention by executing the computer instructions.

[0040] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method provided by the embodiment of the present invention.

[0041] The technical solution of the present invention has the following advantages:

[0042] The embodiment of the present invention provides a method and system for identifying electricity theft, which obtains electricity theft events detected by a target electric energy meter within a set time period and their corresponding timestamps; classifies each electricity theft event; obtains the electricity theft assessment requirements corresponding to each type of electricity theft event; determines whether the timestamps corresponding to the electricity theft events of each type of electricity theft event meet the electricity theft assessment requirements; and when the timestamps corresponding to the electricity theft events of the current electricity theft event type meet the electricity theft assessment requirements, determines the current electricity theft event type as an electricity theft behavior. Thus, by classifying the electricity theft events detected by the electric energy meter within a certain period of time, respectively determining the relationship between the electricity theft timestamps of each type of electricity theft event type and its corresponding electricity theft assessment requirements, the real electricity theft behavior is identified, and the problem of misjudgment of electricity theft by the electric energy meter after detecting the electricity theft event is avoided, thereby improving the accuracy of identifying the electricity theft behavior and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 is a flow chart of a method for identifying electricity theft in an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of a specific working process of electricity theft identification in an embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of reverse current wiring of an electric energy meter in an embodiment of the present invention;

[0047] Figure 4 Schematic diagram of the current reversal event data analysis process in an embodiment of the present invention;

[0048] Figure 5 This is a schematic diagram of a strong magnetic interference event data analysis process in an embodiment of the present invention;

[0049] FIG. 6A to FIG. 6D A schematic diagram of a bypass in an electric energy meter according to an embodiment of the present invention;

[0050] Figure 7A schematic diagram of incorrect wiring of an electric energy meter in an embodiment of the present invention;

[0051] Figure 8 Schematic diagram of bypass event data analysis process in an embodiment of the present invention;

[0052] Fig. 9 is a schematic diagram of the structure of the electricity theft identification system in an embodiment of the present invention;

[0053] Fig.10 Schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0055] The technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0056] In the design of traditional electronic energy meters, some easy-to-operate electricity theft behaviors can be detected and processed, but in the actual operation process, there will be some misjudged electricity theft events due to non-human factors, such as false electricity theft alarms caused by the strong magnetic force of the near-infrared photoelectric head used for local communication, false electricity theft alarms caused by bypass events caused by human wiring errors, and false electricity theft alarms caused by current reversal caused by solar power generation equipment in the user's home. Such frequent false electricity theft alarms will make the user experience extremely poor. Therefore, how to accurately identify real electricity theft events has become an urgent problem to be solved.

[0057] Based on the above problems, an embodiment of the present invention provides a method for identifying electricity theft, such as Figure 1 As shown, the electricity theft identification method specifically includes the following steps:

[0058] Step S101: obtaining electricity theft events detected by a target electric energy meter within a set time period and their corresponding timestamps.

[0059] Among them, the set time period can be flexibly set according to the recognition accuracy requirements and the electricity theft warning requirements, such as: 3 days, 1 week, 2 weeks, etc., and the present invention is not limited thereto. The electric energy meter mentioned in the embodiment of the present invention is an electric energy meter with an electricity theft detection function. Specifically, the electric energy meter is equipped with an electricity theft enable switch. Before executing the above step S101, the electricity theft enable switch of the target electric energy meter is turned on to enable the target electric energy meter to detect the electricity theft event. Exemplarily, each individual electricity theft detection is controlled by a electricity theft enable switch. The corresponding electricity theft enable switch is turned on, that is, the electricity theft detection is turned on, otherwise the detection is not turned on. Further, turning on the electricity theft enable switch of the target electric energy meter can be to turn on all the electricity theft enable switches on the electric energy meter, or to turn on the electricity theft enable switch that the user needs to detect according to actual needs, such as: only turning on the electricity theft enable switch corresponding to the current reverse event, etc. In the embodiment of the present invention, the description is made by turning on all the electricity theft enable switches as an example, and the present invention is not limited thereto. If an electricity theft event is detected, the event and the timestamp of the event are recorded in a non-volatile memory.

[0060] Step S102: Classify each electricity theft event.

[0061] Specifically, the types of electricity theft events classified according to the electricity theft methods include: current reversal events, strong magnetic interference events, and bypass events.

[0062] Step S103: Obtaining electricity theft assessment requirements corresponding to each electricity theft event type.

[0063] The electricity theft assessment requirement is related to the time of occurrence of the electricity theft incident, and is a criterion for judging whether the electricity theft incident is a real electricity theft incident, which is obtained by analyzing and summarizing the time of occurrence of the electricity theft incident corresponding to the historical electricity theft incident in advance.

[0064] Step S104: determining whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirement.

[0065] Step S105: when the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirement, the current electricity theft event type is determined as an electricity theft behavior.

[0066] Specifically, the timestamp of the electricity theft event is used to understand the user's actual electricity usage, and data analysis is performed on the electricity theft event to identify whether it is a real theft. This makes electricity theft identification more flexible and intelligent, and effectively solves the problem of misjudgment of electricity theft in special circumstances on site.

[0067] By executing the above steps, the electricity theft identification method provided by the embodiment of the present invention classifies the electricity theft events detected by the electricity meter within a certain period of time, and respectively determines the relationship between the electricity theft timestamp of each type of electricity theft event and its corresponding electricity theft assessment requirement, thereby identifying the actual electricity theft behavior, avoiding the problem of misjudgment of electricity theft by the electricity meter after detecting the electricity theft event, improving the accuracy of electricity theft behavior identification, and improving the user experience.

[0068] Specifically, in one embodiment, the electricity theft identification method provided by the embodiment of the present invention further includes the following steps:

[0069] Step S106: issuing an electricity theft alarm for the electricity theft behavior.

[0070] Specifically, by only issuing an electricity theft alarm when real electricity theft is identified, the problem of misjudgment caused by frequent alarms when electricity theft occurs is avoided. By accurately issuing an alarm for real electricity theft, the workload of manual investigation of electricity theft is greatly reduced, the efficiency of handling electricity theft intervention is improved, and the user experience is further improved.

[0071] Specifically, in one embodiment, the electricity theft identification method provided by the embodiment of the present invention further includes the following steps:

[0072] Step S107: when the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement, the current electricity theft event type is determined as a false electricity theft behavior.

[0073] Step S108: Turn off the power stealing enabling switch of the target power meter.

[0074] Specifically, by analyzing the data of the detected electricity theft events, when false electricity theft occurs, no electricity theft alarm is issued, but the corresponding electricity theft enabling switch is turned off to avoid detecting the false electricity theft events. In addition, Figure 2 As shown, the behavior of closing the electricity theft enabling switch of the target electricity meter can also be reported, so that after the fault or event corresponding to the false electricity theft behavior is eliminated, the electricity theft enabling switch can be automatically or manually turned on to continue to enable the electricity meter to detect electricity theft events, further improving the flexibility and accuracy of the electricity theft event detection of the electricity meter, and facilitating the background to control the electricity theft detection function of the smart electricity meter.

[0075] Specifically, in one embodiment, when the current power theft event type is a current reverse event, the above step S104 specifically includes the following steps:

[0076] Based on the timestamp of the electricity theft event corresponding to the current electricity theft event type, it is determined whether the occurrence time of each electricity theft event is within the set first time period.

[0077] Specifically, when the occurrence time of any electricity theft event is not within the set first time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; when the occurrence time of any electricity theft event is within the set first time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements.

[0078] The first time period mentioned above can be set according to the normal current direction, such as the operation time of photovoltaic power generation, such as 8 am to 6 pm, etc., but the present invention is not limited thereto.

[0079] Specifically, Figure 3 The following is a schematic diagram of the reverse current wiring of the energy meter, where N is the live wire, L is the neutral wire, and LOAD is the user load connected to the energy meter. Reverse power theft mainly detects the direction of the current to determine whether it is power theft. However, if there is a power generation device at the user end, such as a solar power generation device, current reversal usually occurs in a fixed time period. The energy meter determines whether the current reversal is caused by the power generation device by analyzing the power consumption data and event records of the past n days. If it is determined to be, the meter automatically initiates a temporary shutdown of the power theft enable switch corresponding to the current reverse detection and reports it to the master station system for record.

[0080] For example, the current reversal events and their corresponding timestamp information obtained after the electric energy meter starts the power theft detection are shown in Table 1. The specific process of analyzing the data of the current reversal event to identify the power theft behavior is as follows: Figure 4 As shown, the start and end time of the current reversal event is recorded by the timestamp of the current reversal event to determine whether the time is within the daytime range. If this happens several times in a row, it is determined that the event may be caused by the user's home solar power generation equipment. It is determined to be false electricity theft and the detection of this event is temporarily turned off and reported to the upstream power system for processing. On the contrary, if the current reversal event is irregular or the event is in a normal state, then the event is a real user electricity theft, and the reporting system alarm is alerted.

[0081] Table 1

[0082] No. Event Name Time of occurrence 1 Current reverse starts 2021.09.26 08：09：01 2 Current reverse end 2021.09.26 17：18：35 3 Current reverse starts 2021.09.27 08：08：15 4 Current reverse end 2021.09.27 17：26：03 5 Current reverse starts 2021.09.28 08：15：22 6 Current reverse end 2021.09.28 17：35：06 7 Current reverse starts 2021.09.29 08：05：16 8 Current reverse end 2021.09.29 17：26：10 … … …

[0083] Specifically, in one embodiment, when the current electricity theft event type is a strong magnetic interference event, the above step S104 specifically includes the following steps:

[0084] Step S501: determining the occurrence time of the electricity theft event based on the timestamp of the electricity theft event corresponding to the current electricity theft event type.

[0085] Step S502: Determine whether there is a local communication event at the target electric energy meter during the time when the electricity theft event occurs.

[0086] Specifically, when there is no local communication event at the target electricity meter within the time of occurrence of any electricity theft event, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; when there is a local communication event at the target electricity meter within the time of occurrence of any electricity theft event, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements.

[0087] Specifically, strong magnetic fields will reduce or even eliminate the output of the transformer, causing the electric energy meter to under-measure. The detection of strong magnetism is mainly through a Hall element in the middle of the electric energy meter circuit board. When the magnetic field on the surface of the meter is greater than 0.1T, the Hall element will give a signal. If the signal is detected for more than 6s, a strong magnetic interference event will be recorded and accompanied by an alarm prompt. Local communication will use a near-infrared photoelectric head. Common photoelectric heads are adsorbed on the communication port of the electric energy meter through the outer ring of the magnet, which may cause the electric energy meter's strong magnetic detection to falsely alarm. For example, the strong magnetic interference event and its corresponding timestamp information obtained after the electric energy meter turns on the theft detection are shown in Table 2. Based on this phenomenon, the electric energy meter will intelligently analyze the data, by integrating the nearly n strong magnetic events and local communication events, analyzing the coincidence of the two events, to determine whether the strong magnetic event is a misjudgment. If it is judged to be false theft, the electric meter will automatically initiate a temporary shutdown of the strong magnetic detection switch and report it to the master station system for filing.

[0088] Table 2

[0089]

[0090]

[0091] For example, Figure 5 As shown, the timestamp of the strong magnetic interference event is used to record the start and end time of the strong magnetic interference event, and the time when the local communication event occurs is recorded. By judging whether the time of the recent local communication events is within the start and end time of the strong magnetic field, it is confirmed whether it is a false electricity theft alarm caused by the excessive magnetic force of the near-infrared photoelectric head used for local communication. If so, it is determined to be false electricity theft and the detection of this event is temporarily closed and reported to the upstream power system for processing. On the contrary, if the strong magnetic interference event is irregular or the event is in a normal state, then the event is a real user electricity theft, and the system alarm is reported.

[0092] Specifically, in one embodiment, when the current electricity theft event type is a bypass event, the above step S104 specifically includes the following steps:

[0093] Step S601: determining whether the occurrence time of the electricity theft event is continuous based on the timestamp of the electricity theft event corresponding to the current electricity theft event type.

[0094] Step S602: when the occurrence time of the electricity theft events is discontinuous, determining whether the occurrence time of each electricity theft event is within a set second time period.

[0095] Specifically, when the occurrence times of the electricity theft events are continuous or the occurrence time of any electricity theft event is not within the set second time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; when the occurrence time of any electricity theft event is within the set second time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements.

[0096] Among them, the above-mentioned second time period can be set according to the user's electricity usage habits. For example, if the user's electricity consumption peak period is from 6 pm to 9 pm, the second time period will be set to the time period corresponding to the user's electricity consumption peak period to improve the recognition rate of electricity meter wiring errors.

[0097] Specifically, FIG. 6A to FIG. 6D As shown in the figure, there are several common bypass wiring methods for electricity theft. Since electricity thieves will not frequently change the wiring, the electricity theft alarm status and event records should be continuous during the power usage period. Figure 7 As shown, it is a bypass event caused by a wiring error. For example, the bypass event and its corresponding timestamp information obtained after the electric energy meter turns on the power theft detection are shown in Table 3. In this case, the bypass alarm of user 1 will only occur when user 2 uses electricity, so the event occurs discontinuously and usually during the peak power consumption period. The electric energy meter will collect data such as n groups of bypass event time and bypass current difference for analysis. If it is determined to be suspected false power theft, the power theft enable switch of the bypass event will be temporarily turned off, and the report to the main station system can be used to notify relevant personnel to come to the site for inspection.

[0098] Table 3

[0099] No. Event Name Time of occurrence Bypass current difference 1 Bypass Start 2021.09.26 07：38：07 2.35A 2 Bypass End 2021.09.26 08：25：10 0.12A 3 Bypass Start 2021.09.26 10：33：15 1.21A 4 Bypass End 2021.09.26 12：45：03 0.09A 5 Bypass Start 2021.09.26 15：27：23 0.81A 6 Bypass End 2021.09.26 15：55：43 0.05A 7 Bypass Start 2021.09.26 18：01：16 3.15A 8 Bypass End 2021.09.26 22：24：58 0.17A 9 Bypass Start 2021.09.27 07：35：33 2.58A 10 Bypass End 2021.09.27 08：21：18 0.15A … … …

[0100] For example, Figure 8 As shown, the bypass event timestamp is used to record the occurrence time and end time of the bypass event. By judging the continuity of the event and whether the event occurs during the peak power consumption period, it is confirmed whether it is a false power theft caused by human wiring errors. If so, it is determined to be a false power theft and the detection of this event is temporarily closed and reported to the upstream power system for processing. On the contrary, if the bypass event is irregular or the event is in a normal state, then the event is a real user power theft, and the reporting system alarm is alerted.

[0101] The electricity theft identification method provided in the embodiment of the present invention can be applied to all electric energy meters with an electricity theft detection function to improve the accuracy of the electricity theft behavior identification of the electric energy meter, improve the accuracy of the electricity theft alarm, and improve the user experience.

[0102] By executing the above steps, the electricity theft identification method provided by the embodiment of the present invention classifies the electricity theft events detected by the electricity meter within a certain period of time, and respectively determines the relationship between the electricity theft timestamp of each type of electricity theft event and its corresponding electricity theft assessment requirement, thereby identifying the actual electricity theft behavior, avoiding the problem of misjudgment of electricity theft by the electricity meter after detecting the electricity theft event, improving the accuracy of electricity theft behavior identification, and improving the user experience.

[0103] The embodiment of the present invention also provides a system for identifying electricity theft, such as Fig. 9 As shown, the electricity theft identification system includes:

[0104] The first acquisition module 101 is used to acquire the electricity theft events detected by the target electric energy meter within a set time period and their corresponding timestamps. For details, please refer to the relevant description of step S101 in the above method embodiment, which will not be repeated here.

[0105] The first processing module 102 is used to classify each electricity theft event. For details, please refer to the relevant description of step S102 in the above method embodiment, which will not be repeated here.

[0106] The second acquisition module 103 is used to acquire the electricity theft assessment requirements corresponding to each electricity theft event type. For details, please refer to the relevant description of step S103 in the above method embodiment, which will not be repeated here.

[0107] The second processing module 104 is used to determine whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements. For details, please refer to the relevant description of step S104 in the above method embodiment, which will not be repeated here.

[0108] The third processing module 105 is used to determine the current electricity theft event type as electricity theft behavior when the timestamp of the current electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirement. For details, please refer to the relevant description of step S105 in the above method embodiment, which will not be repeated here.

[0109] Through the coordinated cooperation of the above-mentioned components, the electricity theft identification system provided by the embodiment of the present invention classifies the electricity theft events detected by the electricity meter within a certain period of time, and respectively determines the relationship between the electricity theft timestamp of each type of electricity theft event and its corresponding electricity theft assessment requirement, thereby identifying the actual electricity theft behavior, avoiding the problem of misjudgment of electricity theft by the electricity meter after detecting the electricity theft event, improving the accuracy of electricity theft behavior identification, and improving the user experience.

[0110] The further functional description of each of the above modules is the same as that of the above corresponding method embodiments and will not be repeated here.

[0111] According to an embodiment of the present invention, there is also provided an electronic device, such as Fig.10 As shown, the electronic device may include a processor 901 and a memory 902, wherein the processor 901 and the memory 902 may be connected via a bus or other means. Fig.10 The example of connecting through bus is taken in the following.

[0112] The processor 901 may be a central processing unit (CPU). The processor 901 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0113] The memory 902 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the methods in the method embodiments of the present invention. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 902, that is, implementing the methods in the above method embodiments.

[0114] The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an application required for operating the device and at least one function; the data storage area may store data created by the processor 901, etc. In addition, the memory 902 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 902 may optionally include a memory remotely arranged relative to the processor 901, and these remote memories may be connected to the processor 901 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0115] One or more modules are stored in the memory 902 , and when executed by the processor 901 , the method in the above method embodiment is executed.

[0116] The specific details of the above electronic device can be understood by referring to the corresponding descriptions and effects in the above method embodiments, and will not be repeated here.

[0117] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the implemented program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0118] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for identifying electricity theft, characterized in that: include: Obtain electricity theft events detected by the target electricity meter within a set time period and their corresponding timestamps; Classify each electricity theft incident; Obtain the electricity theft assessment requirements corresponding to each electricity theft event type; Determine whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements; When the timestamp of the current electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements, the current electricity theft event type is determined as an electricity theft behavior; The types of electricity theft events include: current reversal events, strong magnetic interference events and bypass events; When the electricity theft event is a current reverse event, the steps of determining whether the timestamp of the current reverse event corresponding to the electricity theft event meets the electricity theft assessment requirements include: Based on the timestamp of the electricity theft event corresponding to the current electricity theft event type, determine whether the occurrence time of the electricity theft event is within the set first time period; When the occurrence time of any electricity theft event is not within the set first time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; When the occurrence time of any electricity theft event is within the set first time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement; When the electricity theft event is a strong magnetic interference event, the steps of determining whether the timestamp of the strong magnetic interference event corresponding to the electricity theft event meets the electricity theft assessment requirements include: Determine the occurrence time of the electricity theft event based on the timestamp of the electricity theft event corresponding to the current electricity theft event type; Determine whether there is a local communication event for the target electric energy meter during the time when the electricity theft event occurs; When there is no local communication event at the target electric energy meter within the time of occurrence of any electricity theft event, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; When the target electric energy meter has a local communication event within the time of occurrence of any electricity theft event, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements; When the electricity theft event is a bypass event, the steps of determining whether the timestamp of the bypass event corresponding to the electricity theft event meets the electricity theft assessment requirements include: Based on the timestamp of the electricity theft event corresponding to the current electricity theft event type, determine whether the occurrence time of the electricity theft event is continuous; When the occurrence time of the electricity theft events is discontinuous, determining whether the occurrence time of each electricity theft event is within the set second time period; When the occurrence times of the electricity theft events are continuous or the occurrence time of any electricity theft event is not within the set second time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; When the occurrence time of any electricity theft event is within the set second time period, it is determined that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirement.

2. The method according to claim 1, characterized in that Also includes: An electricity theft alarm is triggered for the electricity theft behavior.

3. The method according to claim 1, characterized in that Before obtaining the electricity theft events detected by the target electric energy meter within a set time period and the corresponding timestamps thereof, the method further includes: Turning on the electricity theft enabling switch of the target electric energy meter so that the target electric energy meter performs electricity theft event detection.

4. The method according to claim 3, characterized in that Also includes: When the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements, the current electricity theft event type is determined as a false electricity theft behavior; Turn off the electricity stealing enabling switch of the target electric energy meter.

5. A power theft identification system, characterized in that: include: A first acquisition module is used to acquire electricity theft events detected by a target electric energy meter within a set time period and their corresponding timestamps; A first processing module, used for classifying each electricity theft event; A second acquisition module is used to obtain the electricity theft assessment requirements corresponding to each electricity theft event type; The types of electricity theft events include: current reversal events, strong magnetic interference events and bypass events; when the electricity theft event is a current reversal event, the step of judging whether the timestamp of the electricity theft event corresponding to the current reversal event meets the electricity theft assessment requirements includes: judging whether the occurrence time of the electricity theft event is within the set first time period based on the timestamp of the electricity theft event corresponding to the current electricity theft event type; when the occurrence time of any electricity theft event is not within the set first time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirements; when the occurrence time of any electricity theft event is within the set first time period, determining that the timestamp of the electricity theft event corresponding to the current electricity theft event type does not meet the electricity theft assessment requirements; when the electricity theft event is a strong magnetic interference event, the step of judging whether the timestamp of the electricity theft event corresponding to the strong magnetic interference event meets the electricity theft assessment requirements includes: determining the occurrence time of the electricity theft event based on the timestamp of the electricity theft event corresponding to the current electricity theft event type; judging whether there is a local communication event in the target electric energy meter within the occurrence time of the electricity theft event; and judging whether there is a local communication event in the target electric energy meter within the occurrence time of any electricity theft event. When there is no local communication event at the target electric energy meter within the time, it is determined that the timestamp of the electric energy meter corresponding to the current electric energy meter type meets the electric energy metering assessment requirements; when there is a local communication event at the target electric energy meter within the time of occurrence of any electric energy metering event, it is determined that the timestamp of the electric energy meter corresponding to the current electric energy metering event type does not meet the electric energy metering assessment requirements; when the electric energy metering event is a bypass event, the step of judging whether the timestamp of the electric energy meter corresponding to the bypass event meets the electric energy metering assessment requirements includes: judging whether the occurrence time of the electric energy metering event is continuous based on the timestamp of the electric energy metering event corresponding to the current electric energy metering event type; when the occurrence time of the electric energy metering event is not continuous, judging whether the occurrence time of each electric energy metering event is within the set second time period; when the occurrence time of the electric energy metering event is continuous or the occurrence time of any electric energy metering event is not within the set second time period, it is determined that the timestamp of the electric energy metering event corresponding to the current electric energy metering event type meets the electric energy metering assessment requirements; when the occurrence time of any electric energy metering event is within the set second time period, it is determined that the timestamp of the electric energy metering event corresponding to the current electric energy metering event type does not meet the electric energy metering assessment requirements; The second processing module is used to determine whether the timestamp of each electricity theft event type corresponding to the electricity theft event meets the electricity theft assessment requirements; The third processing module is configured to determine the current electricity theft event type as an electricity theft behavior when the timestamp of the electricity theft event corresponding to the current electricity theft event type meets the electricity theft assessment requirement.

6. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 4 by executing the computer instructions.

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