Electricity larceny prevention identification method based on HPLC and HRF dual-mode module, HPLC and HRF dual-mode module and electricity larceny prevention system

Abstract

The invention discloses an electricity larceny prevention identification method based on an HPLC and HRF dual-mode module, the HPLC and HRF dual-mode module and an electricity larceny prevention system, and relates to the technical field of electricity larceny prevention. The electricity larceny prevention identification method comprises the following steps: defining alarm status words of a plurality of electricity larceny events, and establishing an electricity larceny judgment model associated with the alarm status words; acquiring electric energy meter data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication; and inputting the electric energy meter data into the electricity larceny judgment model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity larceny condition of the electricity larceny judgment model. Therefore, when the dual-mode module corresponding to the electric energy meter triggers the alarm, the master station can obtain the corresponding alarm record information, identify the electricity stealing behavior, and specifically position the electric energy meter with the electricity stealing behavior, so that low-cost and high-precision electricity stealing prevention monitoring can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of anti-electricity theft, and in particular to an anti-electricity theft identification method based on an HPLC and HRF dual-mode module, an HPLC and HRF dual-mode module, and an anti-electricity theft system. Background Art

[0002] With the rapid development of smart grids, power systems have achieved remarkable results in improving energy efficiency and optimizing resource allocation. However, with the continuous advancement of technology, electricity theft has become increasingly covert and complex. Common theft methods include shorting the neutral and live wires, illegally opening meter covers, and miswiring three-phase connections. These methods make traditional theft detection methods difficult to detect, resulting in persistently high line loss rates in distribution networks, causing significant economic losses to power supply companies and threatening the safe operation of the power grid.

[0003] Existing anti-electricity theft solutions primarily rely on manual inspections and basic meter monitoring. While manual inspections can detect some obvious theft, they are costly and difficult to detect in a timely manner. Basic meter monitoring, on the other hand, can only provide basic statistics on electricity usage and lacks in-depth analysis and early warning capabilities for theft. This makes it particularly difficult to effectively identify more subtle thefts.

[0004] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0005] The main purpose of this application is to provide an anti-electricity theft identification method based on HPLC and HRF dual-mode modules, aiming to solve the problems of high cost and poor identification effect of existing anti-electricity theft identification methods.

[0006] To achieve the above objectives, the present application proposes an anti-electricity theft identification method based on an HPLC and HRF dual-mode module, wherein the HPLC and HRF dual-mode module is provided on an electric energy meter. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module comprises:

[0007] Defining alarm status words for various electricity theft events and establishing an electricity theft determination model associated with the alarm status words;

[0008] Acquiring electric energy meter data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication;

[0009] The electric energy meter data is input into the electricity theft determination model, and when the electric energy meter data meets the electricity theft condition of the electricity theft determination model, an alarm corresponding to the alarm status word is triggered.

[0010] In one embodiment, the electric energy meter data includes real-time operating data and daily frozen data, and the step of obtaining the electric energy meter data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication includes:

[0011] Based on high-speed power line communication and / or high-speed wireless communication, obtaining real-time operating data of the electric energy meter at preset intervals;

[0012] Based on high-speed power line communication and / or high-speed wireless communication, daily frozen data of the electric energy meter is obtained.

[0013] In one embodiment, the electric energy meter is a single-phase electric energy meter, and the electricity theft determination model is a single-phase electricity theft determination model; the single-phase electricity theft determination model includes neutral-live short-circuit electricity theft determination logic associated with the first status word of the alarm status word, meter cover opening electricity theft determination logic associated with the second status word of the alarm status word, and reverse wiring electricity theft determination logic associated with the third status word of the alarm status word;

[0014] The step of inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity theft condition of the electricity theft determination model comprises:

[0015] Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the first status word if the electric energy meter data meets the electricity theft condition of the neutral-live short circuit electricity theft determination logic;

[0016] Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the second status word if the electric energy meter data meets the electricity theft condition of the meter cover opening electricity theft determination logic;

[0017] The electric energy meter data is input into the electricity theft determination model, and if the electric energy meter data meets the electricity theft condition of the reverse wiring electricity theft determination logic, an alarm corresponding to the third status word is triggered.

[0018] In one embodiment, the electric energy meter is a three-phase electric energy meter, and the electricity theft determination model is a three-phase electricity theft determination model; the three-phase electricity theft determination model includes three-phase electric parameter abnormality determination logic associated with the fourth status word of the alarm status word, and three-phase meter miswiring determination logic associated with the fifth status word of the alarm status word;

[0019] The step of inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity theft condition of the electricity theft determination model comprises:

[0020] Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the fourth status word if the electric energy meter data meets the electricity theft condition of the three-phase electric parameter abnormality determination logic;

[0021] The electric energy meter data is input into the electricity theft determination model. If the electric energy meter data satisfies the electricity theft condition of the three-phase meter miswiring determination logic, an alarm corresponding to the fifth status word is triggered.

[0022] In one embodiment, the first status word is specifically used to trigger a direct connection electricity theft alarm and a shunt electricity theft alarm; the energy meter data includes a live wire current value and a neutral wire current value; and the determination steps of the neutral-live short circuit electricity theft determination logic include:

[0023] If the live wire current value is less than a first preset current value and the neutral wire current value is greater than a second preset current value, it is determined that the direct connection electricity theft condition of the neutral-live wire short circuit electricity theft judgment logic is met, and an instruction is given to trigger the direct connection electricity theft alarm; the second preset current value is greater than the first preset current value;

[0024] If the live wire current value is greater than a third preset current value and the ratio of the neutral wire current value to the live wire current value is greater than a preset ratio, it is determined that the shunt power theft condition of the neutral-live wire short circuit power theft judgment logic is met, and an indication is given to trigger the shunt power theft alarm.

[0025] In one embodiment, the electric energy meter data includes the number of times the meter cover is opened; the number of times the meter cover is opened is recorded by the electric energy meter every time a first preset time interval passes; the determination steps of the meter cover opening electricity theft determination logic include:

[0026] If the number of times the meter cover is opened in the current cycle is greater than the number of times the meter cover is opened in the previous cycle, it is determined that the electricity theft condition of the meter cover opening electricity theft determination logic is met;

[0027] and / or,

[0028] The electric energy meter data includes total reverse active electric energy, and the total reverse active electric energy is the total reverse active electric energy recorded by the electric energy meter every second preset time interval; the determination steps of the reverse wiring power theft determination logic include:

[0029] If the total reverse active electric energy in the current cycle is greater than the total reverse active electric energy in the previous cycle, it is determined that the power theft condition of the reverse wiring power theft determination logic is met.

[0030] In one embodiment, the electric energy meter data includes a three-phase operation status word; the three-phase operation status word is used to indicate the current phase, voltage, current and connection status of the three-phase electricity; the determination steps of the three-phase electricity parameter abnormality determination logic include:

[0031] The current three-phase operation status word is compared with the three-phase operation status word in a normal state. If the current three-phase operation status word is abnormal, it is determined that the power theft condition of the three-phase electrical parameter abnormality determination logic is met.

[0032] In one embodiment, the electric energy meter data includes three-phase voltage data and three-phase current data, wherein the three-phase voltage data is used to indicate the current voltage value and voltage phase angle of each phase voltage, and the three-phase current data is used to indicate the current value and current phase angle of each phase current; the determination steps of the three-phase meter miswiring determination logic include:

[0033] Based on the three-phase voltage data and the three-phase current data, if it is determined that voltage values ​​of any two of the current first-phase voltage, the current second-phase voltage, and the current third-phase voltage are equal, and / or if it is determined that current current values ​​of any two of the current first-phase current, the current second-phase current, and the current third-phase current are equal, then a crosstalk event is recorded;

[0034] Determining a current voltage phase sequence of the three-phase voltage and a current phase sequence of the three-phase current based on the three-phase voltage data and the three-phase current data; if the current voltage phase sequence of the three-phase voltage and the current phase sequence of the three-phase current are in different directions, recording a phase crosstalk event;

[0035] If it is determined based on the three-phase current data that any one of the current first-phase current, the second-phase current, and the third-phase current is negative, a reverse wiring event is recorded;

[0036] If the total number of records of any of the same type of events among the cross-wire event, the phase cross-connection event and the reverse wiring event reaches a preset number, it is determined that the electricity theft condition of the three-phase meter wrong wiring determination logic is met.

[0037] The present application also proposes an HPLC and HRF dual-mode module, which applies the anti-electricity theft identification method based on the HPLC and HRF dual-mode module as described above.

[0038] This application also proposes an anti-electricity theft system, comprising:

[0039] At least one electric energy meter, each of which is provided with the HPLC and HRF dual-mode modules as described above;

[0040] a collection terminal, wherein the collection terminal is communicatively connected to the electric energy meter via the HPLC and HRF dual-mode module, and the collection terminal obtains alarm record information of the electric energy meter based on the HPLC and HRF dual-mode module;

[0041] A master station is communicatively connected to the acquisition terminal, and is used to obtain alarm record information reported by the acquisition terminal to construct electricity theft event analysis data; wherein the electricity theft event analysis data is used to identify electricity theft behavior involving at least one electricity meter.

[0042] The technical solution of the present application adopts an anti-electricity theft identification method based on HPLC and HRF dual-mode modules. The HPLC and HRF dual-mode modules are set on the electricity meter. The anti-electricity theft identification method based on the HPLC and HRF dual-mode modules includes: defining alarm status words for multiple electricity theft events and establishing an electricity theft determination model associated with the alarm status words; obtaining electricity meter data from the electricity meter based on high-speed power line communication and / or high-speed wireless communication; inputting the electricity meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electricity meter data meets the electricity theft determination model's electricity theft conditions. In this way, when the dual-mode module corresponding to the electricity meter triggers an alarm, the master station can obtain the corresponding alarm record information (including the alarm status word and the identity information of the electricity meter), and then can identify what kind of electricity theft behavior has occurred and can specifically locate the electricity meter where the electricity theft behavior occurred. In this way, the present application can achieve low-cost, high-precision anti-electricity theft monitoring, solving the problems of high cost and poor electricity theft identification effect of existing anti-electricity theft methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0044] Figure 1 A flow chart of an embodiment of an anti-electricity theft identification method based on an HPLC and HRF dual-mode module provided in this application;

[0045] Figure 2 A schematic structural diagram of an embodiment of an anti-electricity theft system provided by this application;

[0046] Figure 3 This is a wiring diagram of a three-phase electric energy meter in series connection according to an embodiment of the anti-electricity theft identification method based on the HPLC and HRF dual-mode modules provided in this application;

[0047] Figure 4 This is a wiring diagram of a three-phase electric energy meter when it is reversely wired according to an embodiment of an anti-electricity theft identification method based on an HPLC and HRF dual-mode module provided in this application.

[0048] The realization of the objectives, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0050] It should be noted that all directional indications in the embodiments of the present application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0051] In addition, the descriptions of "first", "second", etc. in this application are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0052] With the rapid development of smart grids, user-side electricity theft methods are becoming increasingly covert and technical (such as shorting the neutral and live wires, illegally opening meter covers, and miswiring three-phase connections). This has led to persistently high line losses in distribution networks, seriously threatening the economic benefits of power supply companies and grid security. Traditional anti-theft technologies rely primarily on manual inspections and basic meter monitoring.

[0053] Manual inspections detect electricity theft by regularly checking meter status (e.g., seal integrity, wiring compliance) on-site. However, this approach is inefficient, has limited coverage, and cannot detect dynamic electricity theft in real time.

[0054] Basic meter monitoring relies on basic parameters such as voltage, current, and power provided by conventional energy meters. However, this method provides limited meter data and lacks specialized analysis capabilities for complex electricity theft scenarios, making it difficult to identify technical theft behaviors (such as diversion theft and reverse wiring).

[0055] In an exemplary anti-theft identification solution, a line loss monitoring solution based on master station and terminal big data analysis was proposed. This solution relies on dual-mode technology, combining power line carrier communication (HPLC) and wireless communication (such as micropower wireless and 4G), to batch collect electricity usage data from all electric energy meters in a region and upload it to the master station system. Using a big data algorithm, the difference between theoretical and actual line losses is compared to indirectly infer the possibility of electricity theft. However, this solution has the following drawbacks:

[0056] Coarse positioning granularity: It can only determine the overall line loss abnormality in the area and cannot accurately determine the household.

[0057] High response delay: Relying on periodic data analysis from the master station (usually hourly), it is difficult to capture short-term, intermittent electricity theft.

[0058] Significant misjudgment rate: Line loss fluctuations are easily affected by factors such as changes in normal power load and communication packet loss, requiring manual secondary verification, which increases operation and maintenance costs.

[0059] Another exemplary anti-electricity theft identification solution proposes a monitoring solution that sets up hierarchical metering equipment at branch nodes. This solution installs independent metering devices on branch lines within a region (such as transformer outlets and branch boxes), collects the total electricity consumption of branch nodes in real time, compares it with the sum of the electricity consumption of the subordinate users' meters, and locates the section where the electricity theft occurs based on the difference. However, this solution has the following drawbacks:

[0060] High hardware costs: Additional branch metering equipment and supporting communication modules need to be deployed, and the renovation costs of multiple areas are high.

[0061] High construction complexity: It involves line modification and equipment installation, which may lead to user complaints.

[0062] Insufficient positioning accuracy: It can only be narrowed down to the branch line level (approximately 10-50 households), and manual household inspection is still required.

[0063] According to the analysis of the above anti-electricity theft technology, in the above exemplary anti-electricity theft solutions, the implementation of anti-electricity theft either needs to rely on upper-level system analysis, resulting in a lack of real-time terminal-side identification capabilities, or needs to rely on hardware superposition, resulting in high costs.

[0064] This application proposes an anti-electricity theft identification method based on HPLC and HRF dual-mode modules.

[0065] See also Figure 1 In one embodiment of the present application, the HPLC and HRF dual-mode module is provided on the electric energy meter, and the anti-electricity theft identification method based on the HPLC and HRF dual-mode module includes steps S10 to S30:

[0066] Step S10 , defining alarm status words for various electricity theft events, and establishing an electricity theft determination model associated with the alarm status words.

[0067] In this embodiment, by defining specific alarm status words for different types of electricity theft behaviors, accurate identification of various electricity theft modes can be achieved, overcoming the limitation of basic electricity meter monitoring that can only perform simple electricity consumption statistics, and in-depth analysis of specific electricity theft behaviors can be performed on the electricity meter side.

[0068] Step S20: acquiring electric energy meter data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication.

[0069] It should be noted that HPLC (High Power Line Communication) is a technology that uses the existing power line network for data transmission. It transmits digital signals through power lines, allowing users to achieve high-speed Internet connection without the need for additional wiring. HRF (High Rate Wireless Communication) refers to a high-speed wireless data transmission technology that complies with the State Grid's dual-mode communication interoperability technical specifications, which transmits data at a high rate through radio waves. The application of existing dual-mode modules is still limited to the data transmission level, and the value of terminal-side data has not been deeply explored. In this embodiment, HPLC and HRF dual-mode modules can be set on the electricity meter to quickly transmit data based on high-speed power line communication and / or high-speed wireless communication, thereby improving the response speed to the analysis of electricity theft behavior.

[0070] Step S30: inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity theft condition of the electricity theft determination model.

[0071] It should be noted that this embodiment provides an embedded anti-electricity theft identification method based on the electricity meter body. The anti-electricity theft identification method is applied to the HPLC and HRF dual-mode modules. Based on high-speed power line communication and / or high-speed wireless communication, the dual-mode module can quickly collect meter data. At the same time, a multi-dimensional electricity theft judgment criterion is established on the dual-mode module. Combined with the event recording mechanism, it can realize the rapid judgment and precise positioning of electricity theft behavior without the need for additional hardware deployment.

[0072] See also Figure 2The dual-mode module of this embodiment can realize the real-time collection of electricity meter data and rapid data exchange between the electricity meter and the master station. In this embodiment, electricity meter data (such as current, voltage, operating status word, etc.) can be periodically collected based on high-speed power line communication and / or high-speed wireless communication, and electricity theft analysis can be performed according to the preset algorithm in the electricity theft determination model to analyze whether electricity theft has occurred. If electricity theft has occurred, an alarm is triggered and an active reporting alarm status word is generated. At the same time, information about the electricity theft event is recorded and actively reported to the master station. If the dual-mode module corresponding to the electricity meter triggers an alarm event, it means that the corresponding electricity theft event has occurred at the electricity meter. The master station can then locate the electricity meter, achieving precise positioning of the electricity theft. In this way, the master station can directly associate the electricity theft with the specific user corresponding to the electricity meter, avoiding manual household-by-household investigation. In this way, precise household-level positioning of electricity theft can be achieved.

[0073] In this embodiment, an HPLC and HRF dual-mode module is embedded in the electricity meter terminal. A theft detection model is built on the HPLC and HRF dual-mode module. Meter data can be input into this theft detection model, which then analyzes the data using the theft detection criteria of the model to determine whether it contains theft. Key parameters such as the meter's voltage, current, and meter cover status can be collected over a 5-minute period using high-speed power line communication and / or high-speed wireless communication. These parameters are then fed into the theft detection model. If the theft detection criteria of the theft detection model are met, localized event recording and alarms are directly triggered. This embodiment eliminates the delay in the master station's analysis of meter data, addressing the timeliness issues of existing anti-theft methods.

[0074] In this embodiment, the existing electricity meter hardware architecture can be used to expand the anti-theft event recording mechanism (such as neutral and live wire anomalies, meter cover opening events, etc.) and the definition of alarm status words, eliminating the need to install branch metering equipment and achieving zero hardware modification costs. This reduces hardware costs and avoids the construction risks of reinstalling other anti-theft devices.

[0075] In this embodiment, a multi-dimensional combination of criteria can be set within the electricity theft determination model, such as neutral-live short circuit theft determination logic, meter cover opening theft determination logic, and reverse wiring theft determination logic, and combined with a continuous event trigger mechanism to distinguish normal load fluctuations from electricity theft, thereby reducing the false positive rate of electricity theft. This can improve the accuracy of electricity theft determination.

[0076] In summary, the present application provides a solution that can realize the rapid identification of electricity theft and precise household-level positioning based on the HPLC and HRF dual-mode modules, without the need for additional hardware deployment. As can be seen from the above embodiments, the present application can accurately identify a variety of electricity theft behaviors by defining alarm status words for a variety of electricity theft events and establishing an electricity theft determination model associated with the alarm status words, and expand the alarm status words based on the hardware architecture of the existing electricity meter without incurring additional hardware costs. Based on high-speed power line communication and / or high-speed wireless communication, the electricity meter data of the electricity meter is obtained, which can ensure the rapid transmission of data, improve the response speed of the electricity theft behavior analysis, and eliminate the delay of the main station collecting data for analysis. The electricity meter data is input into the electricity theft determination model. When the electricity meter data meets the electricity theft conditions of the electricity theft determination model, the alarm corresponding to the alarm status word is triggered, and it can be determined that the corresponding electricity theft event has occurred. In this way, when the dual-mode module corresponding to the electricity meter triggers an alarm, the master station can obtain the corresponding alarm record information (including the alarm status word and the identity information of the electricity meter), and then can identify the type of electricity theft and specifically locate the electricity meter where the theft occurred. In this way, the present application can achieve low-cost, high-precision anti-electricity theft monitoring, solving the problems of high cost and poor identification effect of existing anti-electricity theft methods.

[0077] In one embodiment of the present application, the electric energy meter data includes real-time operation data and daily frozen data. Step S20 includes steps S21 to S22:

[0078] Step S21, acquiring real-time operating data of the electric energy meter at preset intervals based on high-speed power line communication and / or high-speed wireless communication;

[0079] Step S22: acquiring daily frozen data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication.

[0080] In this embodiment, real-time operating data from an energy meter is acquired at preset intervals (e.g., every 5 minutes) based on high-speed power line communication and / or high-speed wireless communication. This ensures immediate monitoring of electricity usage and helps detect abnormal fluctuations in the meter, including potential electricity theft. For example, real-time operating data such as the live and neutral current values ​​can be collected, and based on the neutral-live short-circuit theft detection logic, a determination can be made as to whether direct or shunt theft has occurred. In this embodiment, daily frozen data collected at fixed points daily based on high-speed power line communication and / or high-speed wireless communication can provide stable baseline information, facilitating analysis of long-term electricity usage patterns, identification of periodic anomalies, and verification of the accuracy of real-time data. For example, the total reverse active energy of the energy meter is collected from the daily frozen data, and based on the reverse wiring theft detection logic, a determination can be made as to whether reverse wiring theft has occurred. In this way, this embodiment can collect multiple types of data and input these multiple types of energy meter data into the theft detection model, achieving more effective identification of electricity theft.

[0081] In one embodiment of the present application, the electric energy meter is a single-phase electric energy meter, and the electricity theft determination model is a single-phase electricity theft determination model; the single-phase electricity theft determination model includes neutral-live short-circuit electricity theft determination logic associated with the first status word of the alarm status word, meter cover opening electricity theft determination logic associated with the second status word of the alarm status word, and reverse wiring electricity theft determination logic associated with the third status word of the alarm status word;

[0082] Step S30 includes steps S311 to S313:

[0083] Step S311: inputting the energy meter data into the electricity theft determination model. If the energy meter data meets the electricity theft condition of the neutral-live short circuit electricity theft determination logic, triggering an alarm corresponding to the first status word;

[0084] Step S312: inputting the electric energy meter data into the electricity theft determination model. If the electric energy meter data satisfies the electricity theft condition of the meter cover opening electricity theft determination logic, triggering an alarm corresponding to the second status word;

[0085] Step S313: inputting the electric energy meter data into the electricity theft determination model. If the electric energy meter data satisfies the electricity theft condition of the reverse wiring electricity theft determination logic, triggering an alarm corresponding to the third status word.

[0086] In this embodiment, the single-phase meter anti-tampering event determination logic includes neutral-live short-circuit theft determination logic associated with the first state word of the alarm status word, meter cover opening theft determination logic associated with the second state word of the alarm status word, and reverse wiring theft determination logic associated with the third state word of the alarm status word. The definitions of the alarm status words are shown in Tables 1 and 2:

[0087] Table 1: Anti-theft extended 645 data items

[0088]

[0089] Table 2: Anti-electricity theft extension 645 data items

[0090]

[0091] According to Tables 1 and 2, the alarm status word can be specifically defined as an active alarm status word. When defining the alarm status word, the first, second, and third status words can all be set in the data identifier (04 00 15 07). Different alarm status words are assigned different bit fields. For example, the first status word can be assigned bit 0 to indicate a live wire direct connection event; bit 1 to indicate a live wire shunt event. The second status word can be assigned bit 2 to indicate a meter cover opening event. The third status word can be assigned bit 3 to indicate a single-phase reverse connection event. With this configuration, when the meter data from a single-phase energy meter meets the electricity theft criteria of the electricity theft determination model, an alarm corresponding to the alarm status word can be triggered, generating the corresponding alarm status word and recording it on the dual-mode module to form alarm record information. This alarm record information can be rapidly transmitted to the data collection terminal via high-speed power line communication and / or high-speed wireless communication, and then reported to the master station via the data collection terminal.

[0092] In one feasible implementation, the first status word is specifically used to trigger a direct connection electricity theft alarm and a shunt electricity theft alarm; the energy meter data includes the live wire current value and the neutral wire current value; the determination steps of the neutral-live short circuit electricity theft determination logic include:

[0093] If the live wire current value is less than the first preset current value and the neutral wire current value is greater than the second preset current value, it is determined that the direct connection electricity theft condition of the neutral-live wire short circuit electricity theft judgment logic is met, and an instruction is given to trigger the direct connection electricity theft alarm; the second preset current value is greater than the first preset current value;

[0094] If the live wire current value is greater than the third preset current value, and the ratio of the neutral wire current value to the live wire current value is greater than the preset ratio, it is determined that the shunt power theft condition of the neutral-live wire short circuit power theft judgment logic is met, and an indication is given to trigger the shunt power theft alarm.

[0095] Please refer to Table 2 above. In this embodiment, the data identifier (03 30 20 01~0A) can be expanded, and the latest 10 event records (including the live wire current value and the neutral wire current value periodically recorded by the electric energy meter) are stored on the data identifier (03 30 20 01~0A). The event record data includes the occurrence time, the live wire current value, and the neutral wire current value.

[0096] In this embodiment, the first preset current value may be 0.1 A, the second preset current value may be 1 A, the third preset current value may be 0.1 A, and the preset ratio may be 1.5. A dynamic threshold adjustment mechanism may be established to adaptively adjust the first preset current value, the second preset current value, the third preset current value, and the preset ratio.

[0097] When determining the neutral-live short-circuit electricity theft determination logic, the current live-line current value and the neutral-line current value of the energy meter can be read every 5 minutes.

[0098] When the live wire current value is <0.1A and the neutral wire current value is >1A, the direct power theft alarm is triggered. It should be noted that under normal circumstances, the live wire current and the neutral wire current should be close to equal or have little difference. If the live wire current is very small (greater than 0.1A) and the neutral wire current is large (less than 1A), this indicates that the live wire may have been manually cut off or bypassed, and the load is directly connected to the neutral wire for power supply. This situation usually occurs in the "direct power theft" scenario, where the power thief attempts to circumvent the meter's measurement by bypassing the meter's live wire and drawing power directly from the neutral wire.

[0099] When the live current is greater than 0.1A and the ratio of the neutral current to the live current is greater than 1.5, a shunt theft alarm is triggered. Under normal circumstances, the ratio of the neutral current to the live current should be close to 1, or the difference in ratio should be small. If the neutral current is significantly greater than the live current (ratio > 1.5), this may indicate that some current is being diverted to other paths and not measured by the energy meter. This often occurs in "shunt theft" scenarios, where the thief diverts some current by connecting additional loads in parallel or using other means, bypassing the energy meter. Setting the ratio to 1.5 provides a certain tolerance to avoid misjudgments due to normal line losses or measurement errors. A 5-minute interval is sufficient to capture the changing trends of most theft behaviors without significantly impacting the energy meter's performance.

[0100] Thus, through the above-mentioned determination logic, it is possible to effectively monitor the short circuit between the neutral and live wires, and trigger corresponding alarms for two common types of electricity theft (direct connection theft and shunt theft). In summary, this embodiment can monitor the short circuit between the neutral and live wires and trigger corresponding alarms when direct connection theft and / or shunt theft occur at the energy meter.

[0101] It should be noted that the records of alarm triggering events can be recorded using a hierarchical storage structure, where the basic layer storage can store up to 10 DI event records, including timestamps, event type codes and characteristic parameters. The extended layer can store associated voltage, current instantaneous values ​​and power data. For example, if the zero and live wires of a single-phase meter have abnormal wiring, the total number of zero and live wire wiring abnormality events triggered after the event occurs will be increased by one, and then the exact time of the event, the live wire current and the zero wire current at the time of occurrence will be recorded. A maximum of 10 events will be recorded. When the number exceeds 10, the stored event will overwrite the earliest event. In this way, the storage resources of the electricity meter can be used efficiently.

[0102] In another feasible embodiment, the electric energy meter data includes the number of times the meter cover is opened; the number of times the meter cover is opened is recorded by the electric energy meter every time a first preset time interval passes; the determination steps of the meter cover opening electricity theft determination logic include:

[0103] If the number of times the meter cover is opened in the current cycle is greater than the number of times the meter cover is opened in the previous cycle, it is determined that the electricity theft condition of the meter cover opening electricity theft determination logic is met.

[0104] In this embodiment, the first preset time interval can be 5 minutes, and the meter cover opening count data of the meter cover opening count counter can be read through the meter interface. Please refer to Table 1 above, and the meter cover opening count can be stored in the data identifier (03 30 20 00). When determining the meter cover opening electricity theft determination logic, the meter cover opening count of the electricity meter can be read every 5 minutes. If the value increases, it is determined that a meter cover opening event has occurred. It should be noted that monitoring the meter cover opening count can help to promptly detect potential electricity theft. Under normal circumstances, the meter cover opening count in the current cycle should be equal to the meter cover opening count in the previous cycle, that is, the meter cover opening count should be fixed (the meter cover is legally opened during installation or maintenance, and the meter cover opening count remains unchanged or the legal opening count is stored in another data identifier). If the value suddenly increases, it means that the meter cover has been illegally opened. Once an illegal cover opening event is detected, an alarm can be triggered and relevant information (such as time, number of cover openings, etc.) can be recorded for subsequent electricity theft analysis.

[0105] In another feasible embodiment, the electric energy meter data includes total reverse active electric energy, and the total reverse active electric energy is the total reverse active electric energy recorded by the electric energy meter every second preset time interval; the reverse wiring power theft determination logic includes the following steps:

[0106] If the total reverse active electric energy of the current cycle is greater than the total reverse active electric energy of the previous cycle, it is determined that the reverse wiring power theft determination logic meets the power theft condition.

[0107] In this embodiment, the second preset time interval can be 24 hours, and the total reverse active energy of the electric energy meter can be collected and frozen daily. Please refer to Table 1 above, the total reverse active energy of the electric energy meter can be stored in the data identifier (03 30 2101~0A). When performing the reverse wiring theft judgment logic, if the total reverse active energy of the previous day is greater than the total reverse active energy of the previous two days, it is determined to be reverse wiring theft. It should be noted that under normal circumstances, if a user is not connected to any device that can feed back electricity to the power grid, the electric energy meter should not record significant reverse active energy. If the comparison of data for two consecutive days shows that the reverse active energy of the previous day is greater than that of the previous two days, it is possible that someone has attempted to reverse the current direction by modifying the wiring method of the electric energy meter to evade electricity bill measurement.

[0108] In one embodiment of the present application, the electric energy meter is a three-phase electric energy meter, and the electricity theft determination model is a three-phase electricity theft determination model; the three-phase electricity theft determination model includes a three-phase electric parameter abnormality determination logic associated with the fourth status word of the alarm status word, and a three-phase meter miswiring determination logic associated with the fifth status word of the alarm status word;

[0109] Step S30 includes steps S321 to S322:

[0110] Step S321: inputting the energy meter data into the electricity theft determination model. If the energy meter data meets the electricity theft condition of the three-phase power parameter abnormality determination logic, triggering an alarm corresponding to the fourth status word;

[0111] Step S322: inputting the electric energy meter data into the electricity theft determination model. If the electric energy meter data satisfies the electricity theft condition of the three-phase meter miswiring determination logic, triggering an alarm corresponding to the fifth status word.

[0112] In this embodiment, the three-phase meter anti-electricity theft event determination logic includes a three-phase power parameter abnormality determination logic associated with the fourth status word of the alarm status word, and a three-phase meter miswiring determination logic associated with the fifth status word of the alarm status word. When defining the alarm status word, both the third and fourth status words can be set on the data identifier (04 00 15 07), and different alarm status words are assigned different bit fields. For example, the bit field assigned to the third status word can be: Bit8 to Bit47. Bit8 to Bit17 are used to indicate a three-phase power phase failure event, Bit18 to Bit27 are used to indicate a three-phase power loss event, Bit28 to Bit37 are used to indicate a three-phase power loss event, and Bit38 to Bit47 are used to indicate a three-phase power reverse wiring event. The bit field assigned to the fourth status word can be: Bit4, which is used to indicate a three-phase miswiring event. With this setup, when the meter data from a three-phase energy meter meets the theft criteria of the electricity theft determination model, an alarm corresponding to the alarm status word is triggered, and the corresponding alarm status word is recorded on the energy meter terminal side, forming an alarm record information. This alarm record information can be quickly transmitted to the collection terminal through the dual-mode module and reported to the master station via the collection terminal.

[0113] In one feasible implementation, in one embodiment of the present application, the electric energy meter data includes a three-phase operation status word; the three-phase operation status word is used to indicate the current three-phase power phase, voltage, current and connection status; the determination steps of the three-phase power parameter abnormality determination logic include:

[0114] The current three-phase operation status word is compared with the three-phase operation status word in the normal state. If the current three-phase operation status word is abnormal, it is determined that the power theft condition of the three-phase electrical parameter abnormality judgment logic is met.

[0115] In this embodiment, the three-phase operation status word of the three-phase meter can be read every 5 minutes. For example, the three-phase operation status word of the three-phase meter can correspond to the bit field allocated to the third status word. For example, the bit field of the three-phase operation status word is set on Bit8 to Bit47, and whether the operation status of a phase is abnormal can be judged based on whether Bit8 to Bit47 is abnormal. For example, when Bit8 = 0 indicates that the phase of phase A is normal, if the current Bit8 = 1, it means that phase A is broken. When Bit18 = 0 indicates that the voltage of phase A is normal, if the current Bit18 = 1, it means that the voltage of phase A is lost. When Bit28 = 0 indicates that the current of phase A is normal, if the current Bit28 = 1, it means that the current of phase A is lost. When Bit38 = 0 indicates that the wiring status of phase A is normal, if the current Bit38 = 1, it means that the wiring status of phase A is abnormal and may be in a reverse wiring state.

[0116] In another feasible embodiment, the electric energy meter data includes three-phase voltage data and three-phase current data, the three-phase voltage data is used to indicate the current voltage value and voltage phase angle of each phase voltage, and the three-phase current data is used to indicate the current current value and current phase angle of each phase current; the determination steps of the three-phase meter miswiring determination logic include:

[0117] Based on the three-phase voltage data and the three-phase current data, if it is determined that the voltage values ​​of any two of the current first-phase voltage, the second-phase voltage, and the third-phase voltage are equal, and / or if it is determined that the current values ​​of any two of the current first-phase current, the second-phase current, and the third-phase current are equal, then a crosstalk event is recorded;

[0118] Based on the three-phase voltage data and the three-phase current data, determine the current three-phase voltage phase sequence and the current three-phase current phase sequence; if the current three-phase voltage phase sequence and the current three-phase current phase sequence are in different directions, record a phase cross event;

[0119] Based on the three-phase current data, if it is determined that any one of the current first-phase current, second-phase current, and third-phase current is negative, a reverse wiring event is recorded;

[0120] If the total number of records of any of the same type of events among the cross-wire event, the cross-phase event and the reverse wiring event reaches the preset number, it is determined that the electricity theft condition of the three-phase meter wrong wiring judgment logic is met.

[0121] In this embodiment, before performing the three-phase meter miswiring determination logic, the determination conditions may be initialized. For example, determination may be initiated when the three-phase voltage is within a first preset voltage range and the absolute value of the three-phase current is greater than a fourth preset current value. The first preset voltage range may be 198.0V to 242.0V, and the fourth preset current value may be 0.25A. It is understood that a dynamic threshold adjustment mechanism may be established to adaptively adjust the first preset voltage range and the fourth preset current value. In a three-phase power system, the rated voltage of the power grid typically has a certain fluctuation range. For example, for a system with a rated voltage of 220V, the allowable voltage fluctuation range may be ±10%. Therefore, when the voltage is between 198.0V and 242.0V, the power grid voltage is in normal operating condition, and miswiring determination under this normal operating condition is relatively accurate. If the voltage exceeds this range (too high or too low), it may indicate a power grid abnormality (such as voltage fluctuation or phase failure), and activating the miswiring determination logic at this time may result in a misjudgment. The fourth preset current value (e.g., 0.25A) is a lower current threshold used to determine whether a valid load is present in the circuit. If the absolute value of the current is less than 0.25A, this may indicate that the circuit is unloaded or nearly unloaded. In this unloaded state, even if a miswiring occurs, the impact is minimal, so there is no need to activate the miswiring determination logic. In this way, this embodiment can initialize the determination conditions, ensuring that the determination logic operates in a stable electrical environment, thereby improving the accuracy of miswiring determination for three-phase meters.

[0122] Specifically, the three-phase voltage data and three-phase current data of the three-phase meter can be read every 5 minutes to obtain the three-phase voltage value and the phase angle of each phase voltage, the three-phase current value and the phase angle of each phase current.

[0123] When performing the three-phase meter miswiring determination logic, if the current values ​​of any two of the first-phase voltage, second-phase voltage, and third-phase voltage are determined to be equal, for example, Ua = Ub, Ua = Uc, or Ub = Uc, and / or the current values ​​of any two of the first-phase current, second-phase current, and third-phase current are determined to be equal, for example, Ia = Ib, Ia = Ic, or Ib = Ic, then a cross-connection event is recorded. Ua represents the first-phase voltage, Ub represents the second-phase voltage, and Uc represents the third-phase voltage; Ia represents the first-phase current, Ib represents the second-phase current, and Ic represents the third-phase current.

[0124] When performing the three-phase meter miswiring detection logic, if the current three-phase voltage phase sequence and the current three-phase current phase sequence are different, a phase series event is recorded. For example, if the three-phase voltage sequence is ABC and the three-phase current sequence is ACB, the phase sequence directions are different.

[0125] Specifically, the three-phase electricity has the following relationship:

[0126] Formula 1:

[0127] P=P1+P2+P3

[0128] =Ua*Ib*cos(120°+ψb)+Ub*Ic*cos(120°+ψc)+Uc*Ia*cos(120°+ψa)

[0129] =3U*I*cos(120°+ψ)

[0130] =-3U*I*cos(60°-ψ)

[0131] Where P represents the total active power, P1, P2, and P3 are the active power components of phase A, phase B, and phase C respectively, Ua, Ub, and Uc are the voltage values ​​of phase A, phase B, and phase C respectively, Ib, Ic, and Ia are the current values ​​flowing through phase B, phase C, and phase A respectively, ψb, ψc, and ψa are the phase difference angles between the voltage and current of phase B, phase C, and phase A respectively, U is the effective value of the three-phase voltage, I is the effective value of the three-phase current, and ψ represents the phase difference angle between the effective values ​​of the three-phase voltage and the effective values ​​of the three-phase current.

[0132] From formula 1, we can see that when ψ is between 0° and 60°, the current three-phase voltage phase sequence and the current three-phase current phase sequence are in different directions and are in a reverse state. Figure 3 , in a series of phase events, the voltage phase sequence is abc, and the current phase sequence is bca, that is, the direction of the voltage phase sequence of the current three-phase voltage is different from the direction of the current phase sequence of the current three-phase current.

[0133] When performing the three-phase meter wrong wiring judgment logic, if it is determined that any of the currents of the first phase current, the second phase current and the third phase current is negative, a reverse wiring event is recorded. Figure 4 In a reverse wiring event, the voltage phase sequence is abc, and the current phase sequence is also abc, but the current transformer (CT) used to detect phase B is reversely wired, that is, the current value of phase B is negative at this time.

[0134] In summary, if the total number of recorded occurrences of any of the following events (cross-wiring, cross-phase, and reverse wiring) reaches a preset number, for example, four cross-wiring events, four cross-phase events, or four reverse wiring events, then the electricity theft condition for the three-phase meter miswiring determination logic is determined to be met. As shown in Table 1, the relevant data for cross-wiring, cross-phase, and reverse wiring events can be recorded and stored in the data identifiers (03 30 2101 to 0A).

[0135] It should be noted that a three-dimensional coding structure can be used to record three-phase meter miswiring events. Among them, the first field represents the voltage phase sequence combination. For example, the normal voltage phase sequence can be that phase A leads phase B by 120 degrees, and phase B leads phase C by 120 degrees, thereby forming a positive sequence cycle, which can be represented by ABC. Other situations that are different from the standard sequence can be represented by other values ​​of this field, for example, the reverse sequence can be represented by CBA. The second field represents the current phase sequence combination. For example, the normal current phase sequence can be that phase A leads phase B by 120 degrees, and phase B leads phase C by 120 degrees, thereby forming a positive sequence cycle, which can be represented by ABC. Other situations that are different from the standard sequence can be represented by other values ​​of this field, for example, the reverse sequence can be represented by CBA. The third field uses a three-bit binary code to represent the polarity status of the ABC three-phase CT. For example, it can be specified that 0 represents correct polarity and 1 represents reverse polarity. Therefore, a three-bit binary code (from high to low, corresponding to phases A, B, and C, respectively) can provide information about the polarity status of the current transformers in each phase. For example, 000 indicates that the CT polarity of all phases is correct, while 111 indicates that the CT polarity of all phases is reversed. This three-dimensional encoding structure clearly records the state of the voltage and current phase sequence and specifically reflects the polarity status of the current transformers in each phase, providing data support for determining cross-wire events, cross-phase events, and reverse wiring events. In the above example, the wiring method ABC ABC 000 is the correct wiring method.

[0136] This application also proposes an HPLC and HRF dual-mode module that utilizes the aforementioned anti-electricity theft identification method based on the HPLC and HRF dual-mode module. The specific steps of this anti-electricity theft identification method refer to the aforementioned embodiments. Since this electricity meter utilizes all the technical solutions of all the aforementioned embodiments, it at least has all the beneficial effects brought about by the technical solutions of the aforementioned embodiments, and no further details will be given here.

[0137] The present application also proposes an anti-electricity theft system, which includes:

[0138] At least one electric energy meter, each of which is provided with the HPLC and HRF dual-mode modules as described above;

[0139] The collection terminal is connected to the electric energy meter through the HPLC and HRF dual-mode modules. The collection terminal obtains the alarm record information of the electric energy meter based on the HPLC and HRF dual-mode modules.

[0140] The master station is in communication with the collection terminal and is used to obtain the alarm record information reported by the collection terminal to construct electricity theft event analysis data; wherein the electricity theft event analysis data is used to identify the electricity theft behavior involved in at least one electricity meter.

[0141] See also Figure 2 In this embodiment, the HPLC and HRF dual-mode modules periodically collect electricity meter data (such as current, voltage, and operating status). Based on a pre-set algorithm in the dual-mode module's electricity theft determination model, the module analyzes whether electricity theft has occurred. If so, an alarm is triggered and an alarm status is generated and proactively reported to the collection terminal. Information about the theft event is also recorded. The collection terminal receives the alarm status and triggers the collection of alarm log information. The dual-mode module responds with the alarm log information, which the collection terminal then reports to the master station.

[0142] In one embodiment of the present application, a multiple verification mechanism can be set up on the HPLC and HRF dual-mode modules to perform a preliminary analysis of the electricity theft event before issuing an alarm status word. For example, through instantaneous value review, waveform feature analysis, and associated device status comparison, combined with the instantaneous values ​​of the electricity meter's voltage, current, and power, it can be analyzed to see whether the electricity theft event matches the actual electricity usage status of the electricity meter. If the electricity meter is in actual electricity usage, the credibility of the electricity theft event can be determined to be high. At the same time, the raw data from the electricity meter can be further verified and filtered to filter out abnormal or erroneous inputs and further determine whether there is a risk of electricity theft. In addition, multiple data sources can be combined for analysis (such as the electricity meter's historical data, the overall operating status of the equipment, external conditions, etc.) to comprehensively determine whether it is a real electricity theft event. If similar events are triggered continuously, the credibility of the electricity theft event can also be determined to be high. In this way, this embodiment achieves low-cost, high-precision anti-electricity theft monitoring, solving the problem of high cost and poor electricity theft identification effect of existing anti-electricity theft systems.

[0143] The above description is merely an exemplary embodiment of the present application and does not limit the patent scope of the present application. Any equivalent structural transformation made using the contents of the present application specification and drawings under the technical concept of the present application, or directly / indirectly applied in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. An anti-electricity theft identification method based on HPLC and HRF dual-mode modules, characterized in that: The HPLC and HRF dual-mode module is provided on the electric energy meter, and the anti-electricity theft identification method based on the HPLC and HRF dual-mode module includes: Defining alarm status words for various electricity theft events and establishing an electricity theft determination model associated with the alarm status words; Acquiring electric energy meter data of the electric energy meter based on high-speed power line communication and / or high-speed wireless communication; The electric energy meter data is input into the electricity theft determination model, and when the electric energy meter data meets the electricity theft condition of the electricity theft determination model, an alarm corresponding to the alarm status word is triggered.

2. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 1, characterized in that: The electric energy meter data includes real-time operation data and daily frozen data. The step of obtaining the electric energy meter data based on high-speed power line communication and / or high-speed wireless communication includes: Based on high-speed power line communication and / or high-speed wireless communication, obtaining real-time operating data of the electric energy meter at preset intervals; Based on high-speed power line communication and / or high-speed wireless communication, daily frozen data of the electric energy meter is obtained.

3. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 1, characterized in that: The electric energy meter is a single-phase electric energy meter, and the electricity theft determination model is a single-phase electricity theft determination model; the single-phase electricity theft determination model includes neutral-live short-circuit electricity theft determination logic associated with the first status word of the alarm status word, meter cover opening electricity theft determination logic associated with the second status word of the alarm status word, and reverse wiring electricity theft determination logic associated with the third status word of the alarm status word; The step of inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity theft condition of the electricity theft determination model comprises: Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the first status word if the electric energy meter data meets the electricity theft condition of the corresponding neutral-live short-circuit electricity theft determination logic; Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the second status word if the electric energy meter data meets the electricity theft condition of the meter cover opening electricity theft determination logic; The electric energy meter data is input into the electricity theft determination model, and if the electric energy meter data meets the electricity theft condition of the reverse wiring electricity theft determination logic, an alarm corresponding to the third status word is triggered.

4. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 1, characterized in that: The electric energy meter is a three-phase electric energy meter, and the electricity theft determination model is a three-phase electricity theft determination model; the three-phase electricity theft determination model includes a three-phase electric parameter abnormality determination logic associated with the fourth status word of the alarm status word, and a three-phase meter miswiring determination logic associated with the fifth status word of the alarm status word; The step of inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the alarm status word when the electric energy meter data meets the electricity theft condition of the electricity theft determination model comprises: Inputting the electric energy meter data into the electricity theft determination model, and triggering an alarm corresponding to the fourth status word if the electric energy meter data meets the electricity theft condition of the three-phase electric parameter abnormality determination logic; The electric energy meter data is input into the electricity theft determination model. If the electric energy meter data satisfies the electricity theft condition of the three-phase meter miswiring determination logic, an alarm corresponding to the fifth status word is triggered.

5. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 3, characterized in that: The first status word is specifically used to trigger a direct connection electricity theft alarm and a shunt electricity theft alarm; the energy meter data includes the live wire current value and the neutral wire current value; the determination steps of the neutral-live short circuit electricity theft determination logic include: If the live wire current value is less than a first preset current value and the neutral wire current value is greater than a second preset current value, it is determined that the direct connection electricity theft condition of the neutral-live wire short circuit electricity theft judgment logic is met, and an instruction is given to trigger the direct connection electricity theft alarm; the second preset current value is greater than the first preset current value; If the live wire current value is greater than a third preset current value and the ratio of the neutral wire current value to the live wire current value is greater than a preset ratio, it is determined that the shunt power theft condition of the neutral-live wire short circuit power theft judgment logic is met, and an indication is given to trigger the shunt power theft alarm.

6. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 3, characterized in that: The electric energy meter data includes the number of times the meter cover is opened; The meter cover opening times is the number of times the meter cover is opened recorded by the electric energy meter every time a first preset time interval passes; The determination steps of the meter cover opening electricity theft determination logic include: If the number of times the meter cover is opened in the current cycle is greater than the number of times the meter cover is opened in the previous cycle, it is determined that the electricity theft condition of the meter cover opening electricity theft determination logic is met; and / or, The electric energy meter data includes total reverse active electric energy, and the total reverse active electric energy is the total reverse active electric energy recorded by the electric energy meter every second preset time interval; the determination steps of the reverse wiring power theft determination logic include: If the total reverse active electric energy in the current cycle is greater than the total reverse active electric energy in the previous cycle, it is determined that the power theft condition of the reverse wiring power theft determination logic is met.

7. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 4, characterized in that: The electric energy meter data includes a three-phase operation status word; the three-phase operation status word is used to indicate the current three-phase electricity phase, voltage, current and connection status; the determination steps of the three-phase electricity parameter abnormality determination logic include: The current three-phase operation status word is compared with the three-phase operation status word in a normal state. If the current three-phase operation status word is abnormal, it is determined that the power theft condition of the three-phase electrical parameter abnormality determination logic is met.

8. The anti-electricity theft identification method based on the HPLC and HRF dual-mode module according to claim 4, characterized in that: The electric energy meter data includes three-phase voltage data and three-phase current data, wherein the three-phase voltage data is used to indicate the current voltage value and voltage phase angle of each phase voltage, and the three-phase current data is used to indicate the current value and current phase angle of each phase current; The determination steps of the three-phase meter wrong wiring determination logic include: Based on the three-phase voltage data and the three-phase current data, if it is determined that voltage values ​​of any two of the current first-phase voltage, the current second-phase voltage, and the current third-phase voltage are equal, and / or if it is determined that current current values ​​of any two of the current first-phase current, the current second-phase current, and the current third-phase current are equal, then a crosstalk event is recorded; Determining a current voltage phase sequence of the three-phase voltage and a current phase sequence of the three-phase current based on the three-phase voltage data and the three-phase current data; if the current voltage phase sequence of the three-phase voltage and the current phase sequence of the three-phase current are in different directions, recording a phase crosstalk event; If it is determined based on the three-phase current data that any one of the current first-phase current, the second-phase current, and the third-phase current is negative, a reverse wiring event is recorded; If the total number of records of any of the same type of events among the cross-wire event, the phase cross-connection event and the reverse wiring event reaches a preset number, it is determined that the electricity theft condition of the three-phase meter wrong wiring determination logic is met.

9. A HPLC and HRF dual-mode module, characterized in that The HPLC and HRF dual-mode module applies the anti-electricity theft identification method based on the HPLC and HRF dual-mode module as described in any one of claims 1 to 8. 10.An anti-electricity theft system, characterized in that: include: at least one electric energy meter, each of which is provided with the HPLC and HRF dual-mode module according to claim 9; a collection terminal, wherein the collection terminal is communicatively connected to the electric energy meter via the HPLC and HRF dual-mode module, and the collection terminal obtains alarm record information of the electric energy meter based on the HPLC and HRF dual-mode module; A master station is communicatively connected to the acquisition terminal, and is used to obtain alarm record information reported by the acquisition terminal to construct electricity theft event analysis data; wherein the electricity theft event analysis data is used to identify electricity theft behavior involving at least one electricity meter.

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