Intelligent electricity larceny prevention ammeter and electricity larceny prevention method thereof

Abstract

The invention discloses an intelligent electricity larceny prevention ammeter and an electricity larceny prevention method thereof, and relates to the technical field of intelligent ammeters. The method comprises the following steps: calculating an abnormal power consumption index according to obtained real-time power consumption and historical power consumption in a unit time interval; the method comprises the steps of obtaining real-time electricity utilization data with the absolute value of an abnormal electricity utilization index larger than a preset threshold value, establishing an electricity larceny evaluation index according to the real-time electricity utilization data, conducting electricity larceny evaluation according to the electricity larceny evaluation index, generating an electricity larceny evaluation score, and generating a management signal to conduct electricity larceny prevention management when the electricity larceny evaluation score is larger than a preset electricity larceny evaluation score threshold value. Performing multi-step identification on the abnormal electricity consumption behavior through the abnormal electricity consumption index and the electricity larceny evaluation index; real-time monitoring allows real-time discovery of potential electricity larceny behaviors, meanwhile, accurate data analysis ensures effective identification of the electricity larceny behaviors, the possibility of false alarm is reduced, and corresponding electricity larceny prevention management measures can be taken quickly and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of smart meters, and specifically to an electricity meter with intelligent anti-stealing electricity function and its anti-stealing electricity method. Background Art

[0002] Stealing electricity refers to the act of illegally accessing the power grid, tampering with the electricity meter reading, or using other means to avoid electricity charges without the authorization of the power supplier. Stealing electricity not only causes economic losses to power companies, but also may lead to problems such as unbalanced grid load and unstable voltage, increasing the accident risk and affecting the normal electricity use of other users. The electricity thief connects a certain shunt circuit outside the electricity meter to artificially reduce the current flowing through the electricity meter, resulting in the electricity consumption recorded by the electricity meter being less than the actual electricity consumption. This method is difficult to directly detect by observation and is also difficult to identify by simple current measurement, because the normal fluctuation of the current will also be caused by the change of the user's load. The prior art provides an anti-stealing electricity method. When the electricity meter enters the power-off program, the DC bias of the current ADC channel, the current calculation gain Ki, and the high-frequency constant Hfconst for electric energy accumulation are taken out from the memory for backup; the internal high-frequency clock is turned on every interval time T for detecting load grounding stealing electricity; the full voltage-loss NVM metering module and the DC ADC channel of the metering chip are opened, the high-pass filter is closed, the DC bias calibration value of the current ADC channel is written into the NVM->DCOS register, the sampling value is obtained, and converted into the effective current value Ix; it is judged whether the effective current value Ix is greater than the threshold value It. If the effective current value Ix is greater than the threshold value It, there is a behavior of stealing electricity by breaking the neutral line, and the correction metering mode is switched to calculate the power value, and the power value is written into the D2FP0 register of the NVM metering module for energy accumulation. The above anti-stealing electricity method mainly aims at the behavior of stealing electricity by breaking the neutral line, that is, the stealing electricity caused by direct grounding, and does not include other types of stealing electricity behaviors. At the same time, the method depends on the calibration of the internal high-frequency clock and specific registers of the electricity meter, which may require regular maintenance and complex configuration, increasing the maintenance difficulty and cost of the system. Summary of the Invention

[0003] Based on the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an electricity meter with intelligent anti-stealing electricity function and its anti-stealing electricity method to solve the above technical problems.

[0004] To achieve the above purpose, the present invention provides the following technical solution: an intelligent anti-stealing electricity method, including:

[0005] Calculating the abnormal electricity consumption index of the real-time electricity consumption within the unit time interval according to the obtained real-time electricity consumption within the unit time interval and the historical electricity consumption within the continuous unit time intervals;

[0006] Obtaining the real-time electricity consumption data of the unit time interval whose absolute value of the abnormal electricity consumption index is greater than the preset abnormal electricity consumption index threshold;

[0007] Based on the real-time electricity consumption data, an electricity theft assessment index is established. Among them, establishing the electricity theft assessment index based on the real-time electricity consumption data includes:

[0008] Calculate the voltage change rate VCR based on the current voltage value in the real-time electricity consumption data, calculate the current change rate ICR based on the current current value in the real-time electricity consumption data, and calculate the power factor change amount PFCV based on the phase difference between the current voltage value and the current current value in the real-time electricity consumption data. Establish an electricity theft assessment index SWTA based on the voltage change rate VCR, the current change rate ICR, and the power factor change amount PFCV;

[0009] Based on the electricity theft assessment index SWTA, conduct an electricity theft assessment on the real-time electricity consumption data to generate an electricity theft assessment score; and

[0010] When the electricity theft assessment score is greater than a preset electricity theft assessment score threshold, generate a management signal for anti-electricity-theft management.

[0011] The present invention is further configured such that calculating the abnormal electricity consumption index of the real-time electricity consumption in the unit time interval based on the real-time electricity consumption in the obtained unit time interval and the historical electricity consumption in the continuous unit time intervals includes:

[0012] Calculate the average value of the historical electricity consumption in the continuous unit time intervals

[0013] Calculate the historical electricity consumption in the continuous unit time intervals relative to the average value of the discrete value σ;

[0014] Based on the average value and the discrete value σ, calculate the abnormal electricity consumption index of the real-time electricity consumption in the unit time interval.

[0015] The present invention is further configured such that the calculation logic of the average value is

[0016] The calculation logic of the discrete value σ is

[0017] The calculation logic of the abnormal electricity consumption index is

[0018] where x i is the historical electricity consumption in the unit time interval, n is the total number of unit time intervals, x is the real-time electricity consumption in the unit time interval; AEI is the abnormal electricity consumption index.

[0019] The present invention is further configured such that the real-time electricity consumption data includes: the current voltage value, the current current value, the phase difference between the current voltage value and the current current value, the total load, and the non-responsive load.

[0020] The present invention is further configured such that, before establishing the electricity theft assessment index according to the real-time electricity consumption data, it further includes:

[0021] Performing denoising preprocessing on the real-time electricity consumption data to remove high-frequency noise in the real-time electricity consumption data.

[0022] The present invention is further configured such that the calculation logic of the voltage change rate VCR is The calculation logic of the current change rate ICR is The calculation logic of the power factor change amount PFCV is where V is the current voltage value, V i is the historical voltage value within a unit time interval, m is the total number of unit time intervals, I is the current current value, I i is the historical current value within a unit time interval, θ is the phase difference between the current voltage value and the current current value, θ i is the phase difference between the historical voltage value and the historical current value within a unit time interval.

[0023] The present invention is further configured such that the calculation logic of the electricity theft assessment index SWTA is: SWTA = -w1 * VCR + w2 * |ICR| + (-w3) * PFCV, where w1, w2, and w3 are positive weight coefficients used to adjust the magnitude of the score contribution.

[0024] The present invention is further configured such that the preset electricity theft assessment score threshold is set based on historical data and requirements. The electricity theft assessment score threshold is used to distinguish normal electricity consumption behavior and potential electricity theft behavior. Comparing the electricity theft assessment score generated by the electricity theft assessment index with the preset electricity theft assessment score threshold, when the electricity theft assessment score is greater than the preset electricity theft assessment score threshold, it indicates that there is an electricity theft risk within the real-time unit time interval, generating a management signal for anti-electricity theft management.

[0025] The present invention is further configured such that when the electricity theft evaluation score is greater than a preset electricity theft evaluation score threshold, a management signal is generated for electricity theft prevention management, including: calculating the non-responsive load ratio according to the total load and the non-responsive load, and when the non-responsive load ratio is less than the non-responsive load ratio threshold, sending a reminder message to notify the user; when the non-responsive load ratio is greater than or equal to the non-responsive load ratio threshold, performing a power-off process and sending a warning message to notify the user, wherein the calculation logic of the non-responsive load ratio NRLP is NRLP = (NRL / TL)*100%, where NRL is the non-responsive load and TL is the total load.

[0026] The present invention also provides an electricity meter for intelligent electricity theft prevention, including:

[0027] Abnormal calculation module: calculating an abnormal electricity consumption index of the real-time electricity consumption within the unit time interval according to the real-time electricity consumption within the unit time interval and the historical electricity consumption within consecutive unit time intervals obtained;

[0028] Data acquisition module: acquiring the real-time electricity consumption data of the unit time interval in which the absolute value of the abnormal electricity consumption index is greater than a preset abnormal electricity consumption index threshold;

[0029] Index establishment module: establishing an electricity theft evaluation index according to the real-time electricity consumption data, wherein establishing the electricity theft evaluation index according to the real-time electricity consumption data includes:

[0030] Calculating a voltage change rate VCR according to the current voltage value in the real-time electricity consumption data, calculating a current change rate ICR according to the current current value in the real-time electricity consumption data, and calculating a power factor change amount PFCV according to the phase difference between the current voltage value and the current current value in the real-time electricity consumption data, and establishing an electricity theft evaluation index SWTA according to the voltage change rate VCR, the current change rate ICR, and the power factor change amount PFCV;

[0031] Electricity theft evaluation module: performing an electricity theft evaluation on the real-time electricity consumption data according to the electricity theft evaluation index SWTA to generate an electricity theft evaluation score; and

[0032] Electricity theft prevention management module: when the electricity theft evaluation score is greater than a preset electricity theft evaluation score threshold, generating a management signal for electricity theft prevention management.

[0033] The present invention provides an intelligent electricity meter for preventing electricity theft and a method for preventing electricity theft. The method calculates an abnormal electricity consumption index of the real-time electricity consumption within a unit time interval based on the obtained real-time electricity consumption within the unit time interval and the historical electricity consumption within consecutive unit time intervals; obtains the real-time electricity consumption data of the unit time interval in which the absolute value of the abnormal electricity consumption index is greater than a preset abnormal electricity consumption index threshold; and establishes a electricity theft evaluation index based on the real-time electricity consumption data. Among them, establishing the electricity theft evaluation index based on the real-time electricity consumption data includes: calculating a voltage change rate VCR according to the current voltage value in the real-time electricity consumption data, calculating a current change rate ICR according to the current current value in the real-time electricity consumption data, and calculating a power factor change amount PFCV according to the phase difference between the current voltage value and the current current value in the real-time electricity consumption data, and establishing an electricity theft evaluation index SWTA based on the voltage change rate VCR, the current change rate ICR, and the power factor change amount PFCV; evaluating the real-time electricity consumption data for electricity theft according to the electricity theft evaluation index SWTA to generate an electricity theft evaluation score; and when the electricity theft evaluation score is greater than a preset electricity theft evaluation score threshold, generating a management signal for electricity theft prevention management. The beneficial effects generated include:

[0034] 1. Improvement in real-time performance and accuracy: Abnormal detection of real-time electricity consumption is carried out through the abnormal electricity consumption index to identify abnormal electricity consumption behaviors. After identifying abnormal electricity consumption behaviors, an electricity theft evaluation index is established based on the real-time obtained electricity consumption data to further identify abnormal electricity consumption behaviors; real-time monitoring allows for the immediate discovery of potential electricity theft behaviors. At the same time, accurate data analysis ensures the effective identification of electricity theft behaviors, reduces the possibility of false alarms, and enables rapid and accurate adoption of corresponding electricity theft prevention management measures;

[0035] 2. Dynamic management and automated processing: The threshold of the electricity theft evaluation score is dynamically set based on historical data and actual requirements, enabling the electricity theft prevention method to adapt to different electricity consumption scenarios and demand changes, enhancing flexibility. When the electricity theft evaluation score exceeds the preset threshold, the method can automatically generate a management signal, including sending a reminder message or performing a power-off process, realizing the automation of electricity theft management. Automated processing not only reduces the burden of manual monitoring but also improves the efficiency and response speed of electricity theft prevention management.

[0036] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the following specifically illustrates the specific implementation manners of this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. In the accompanying drawings:

[0038] Figure 1 It is a flowchart of an intelligent anti-stealing electricity method shown in an exemplary embodiment of the present invention;

[0039] Figure 2 It is a schematic structural diagram of an intelligent anti-stealing electricity electric meter shown in an exemplary embodiment of the present invention. Detailed implementation manners

[0040] The following will illustrate the implementation manners of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for explaining the present invention, rather than for limiting the protection scope of the present invention.

[0041] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0042] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0043] Embodiment 1

[0044] The intelligent anti-stealing electricity method, as Figure 1 shown, includes:

[0045] Calculating an abnormal electricity consumption index of the real-time electricity consumption within the unit time interval according to the obtained real-time electricity consumption within the unit time interval and the historical electricity consumption within consecutive unit time intervals;

[0046] Obtain the real-time electricity consumption data for the unit time interval when the absolute value of the abnormal electricity consumption index is greater than the preset abnormal electricity consumption index threshold;

[0047] Based on the real-time electricity consumption data, establish an electricity theft assessment index, where establishing the electricity theft assessment index based on the real-time electricity consumption data includes:

[0048] Calculate the voltage change rate VCR based on the current voltage value in the real-time electricity consumption data, calculate the current change rate ICR based on the current current value in the real-time electricity consumption data, and calculate the power factor change amount PFCV based on the phase difference between the current voltage value and the current current value in the real-time electricity consumption data. Establish an electricity theft assessment index SWTA based on the voltage change rate CVR, the current change rate ICR, and the power factor change amount PFCV;

[0049] Based on the electricity theft assessment index SWTA, conduct an electricity theft assessment on the real-time electricity consumption data to generate an electricity theft assessment score; and

[0050] When the electricity theft assessment score is greater than the preset electricity theft assessment score threshold, generate a management signal for anti-electricity-theft management.

[0051] Specifically, the unit time interval is set according to actual needs. In a feasible embodiment of the present invention, the unit time interval includes 15 minutes, 30 minutes, or 1 hour. The present invention is further set to calculate the abnormal electricity consumption index of the real-time electricity consumption within the unit time interval based on the real-time electricity consumption within the obtained unit time interval and the historical electricity consumption within consecutive unit time intervals, including:

[0052] Calculate the average value of the historical electricity consumption within the consecutive unit time intervals The average value The calculation logic is where x i is the historical electricity consumption within the unit time interval, and n is the total number of unit time intervals;

[0053] Calculate the discrete value σ of the historical electricity consumption within the consecutive unit time intervals relative to the average value The calculation logic of the discrete value σ is

[0054] Based on the average value and the discrete value σ, calculate the abnormal electricity consumption index of the real-time electricity consumption within the unit time interval; the calculation logic of the abnormal electricity consumption index is where x is the real-time electricity consumption within the unit time interval, and AEI is the abnormal electricity consumption index.

[0055] The present invention is further configured such that the real-time power consumption data includes: the current voltage value, the current current value, the phase difference between the current voltage value and the current current value, the total load, and the non-responsive load; specifically, the above parameters provide necessary inputs for the present invention to evaluate and monitor potential illegal power consumption behaviors. The current voltage value and the current current value are basic electrical parameters, which are directly obtained by setting a voltage sensor and a current sensor inside the electricity meter. The phase difference between the current voltage value and the current current value is used to calculate the power factor, and the electricity stealing device or illegal connection will cause abnormal changes in the current and voltage phases; the total load refers to the total amount of electricity consumed by all loads in the power grid, and the non-responsive load refers to the load that cannot respond to the remote control system or the automation system, which is generally obtained by subtracting the responsive load from the total load. The illegally connected load often does not appear in the normal monitoring system. By comparing the total load with the responsive load, potential illegal electricity stealing behaviors can be identified.

[0056] The present invention is further configured such that before establishing the electricity stealing evaluation index according to the real-time power consumption data, it further includes:

[0057] Performing denoising preprocessing on the real-time power consumption data to remove high-frequency noise in the real-time power consumption data. This is prior art and will not be elaborated herein.

[0058] The calculation logic of the voltage change rate VCR is The calculation logic of the current change rate ICR is The calculation logic of the power factor change amount PFCV is where V is the current voltage value, V i is the historical voltage value within the unit time interval, m is the total number of unit time intervals, I is the current current value, I i is the historical current value within the unit time interval, θ is the phase difference between the current voltage value and the current current value, θ i is the phase difference between the historical voltage value and the historical current value within the unit time interval.

[0059] The present invention is further configured such that the calculation logic of the electricity theft assessment index SWTA is: SWTA = -w1*VCR + w2*|ICR| + (-w3)*PFCV, where w1, w2, and w3 are positive weight coefficients used to adjust the magnitude of the score contribution. Specifically, for the voltage change rate VCR, since electricity theft behavior may cause abnormal voltage fluctuations, a significant negative change rate (i.e., voltage drop) may imply a higher probability of abnormality. Therefore, the contribution of the voltage change rate VCR is -w1*VCR, where w1 is a positive coefficient. For the current change rate ICR, an instantaneous increase in current may be a normal manifestation of the startup of high-power electrical appliances. Therefore, other parameters need to be combined for evaluation. Both abnormal increases and decreases in current can contribute to the abnormal score. Therefore, the contribution of the current change rate ICR is w2*|ICR|, where w2 is a positive coefficient. For the power factor change amount PFCV, a significant decrease in the power factor indicates abnormal load changes. Therefore, the contribution of the power factor change amount PFCV can be represented by -w3*PFCV. When the power factor change amount PFCV is negative, the electricity theft assessment index SWTA increases.

[0060] The present invention is further configured such that the preset electricity theft assessment score threshold is set based on historical data and requirements. The electricity theft assessment score threshold is used to distinguish normal electricity consumption behaviors from potential electricity theft behaviors. The electricity theft assessment score generated through the electricity theft assessment index is compared with the preset electricity theft assessment score threshold. When the electricity theft assessment score is greater than the preset electricity theft assessment score threshold, it indicates that there is an electricity theft risk within the real-time unit time interval, and a management signal is generated for anti-electricity-theft management. Specifically, by analyzing historical electricity consumption data, normal and abnormal electricity consumption patterns are identified. Based on the historical electricity consumption data, an electricity theft assessment score threshold is set to distinguish normal electricity consumption from potential electricity theft behaviors. The electricity theft assessment score threshold can be dynamically adjusted to adapt to changes in behaviors and new electricity consumption trends. Further, a statistical model is established using historical data to calculate the average value and standard deviation of electricity consumption behaviors; the range of changes in electricity consumption behaviors is determined by analyzing the standard deviation and other statistical indicators (including skewness and kurtosis); machine learning algorithms (including decision trees, random forests, or neural networks) are used to analyze historical data to predict normal and abnormal electricity consumption behaviors; the threshold is dynamically adjusted according to the output of the model to improve the accuracy and adaptability of the prediction; the threshold is adjusted according to actual detected electricity theft cases or false alarm situations; the model is regularly evaluated and calibrated to ensure the effectiveness and timeliness of the threshold. The electricity theft assessment index is converted into a specific score, and the score represents the likelihood of electricity theft. The real-time calculated electricity theft assessment score will be compared with the preset electricity theft assessment score threshold. When the electricity theft assessment score exceeds the electricity theft assessment score threshold, it indicates that there is a high electricity theft risk within the current monitoring period. When a high risk is identified, management signals are automatically generated, including alarm notifications, user interface messages, automatic report generation, and automatic power-off operations. In an embodiment of the present invention, the measurement data at a certain time point includes: the current voltage is 210V, the historical average voltage is 220V, the current current is 10A, the historical average current is 8A, the current power factor is 0.88, the historical average power factor is 0.92, the voltage change rate VCR = (210 - 220) / 220 * 100% = -4.55%; the current change rate ICR = (10 - 8) / 8 * 100% = 25%; the power factor change amount PFCV = 0.88 - 0.92 = -0.04; according to the electricity theft assessment index SWTA, the real-time electricity consumption data is subjected to electricity theft assessment to generate an electricity theft assessment score, which is: electricity theft assessment score = -1.0×(-4.55%) + 1.5×25% + (-2.0)×(-0.04) = 0.5005, and the value of the electricity theft assessment score is 0.5005. According to the set threshold of 0.30, this electricity theft assessment score indicates a high likelihood of electricity theft, and further determination is carried out.

[0061] The present invention is further configured such that when the electricity theft assessment score is greater than a preset electricity theft assessment score threshold, a management signal is generated for electricity theft prevention management, including: calculating the non-responsive load ratio based on the total load and the non-responsive load. When the non-responsive load ratio is less than the non-responsive load ratio threshold, a reminder message is sent to notify the user; when the non-responsive load ratio is greater than or equal to the non-responsive load ratio threshold, a power-off process is performed and a warning message is sent to notify the user. Among them, the calculation logic of the non-responsive load ratio NRLP is NRLP=(NRL / TL)*100%, where NRL is the non-responsive load and TL is the total load. Specifically, the ratio of the total load to the non-responsive load is used to identify and manage potential electricity theft risks. The non-responsive load ratio is used to determine the amount of load that the electricity meter or monitoring system cannot control or detect. The amount of load that cannot be controlled or detected is often associated with illegal electricity use behaviors; the non-responsive load NRL refers to the total amount of load that cannot be remotely controlled or monitored, including illegal connection behaviors, and the total load TL is all the electrical loads borne by the power grid at a specific time point or time period; the non-responsive load ratio threshold of the non-responsive load ratio is set based on historical data and risk management requirements. When the non-responsive load ratio is less than the non-responsive load ratio threshold, a reminder message is sent to notify the user, which is used to notify that the current electricity consumption status is slightly abnormal or to remind them to check the equipment to ensure that all equipment is under the monitoring of the smart grid; when the non-responsive load ratio is greater than or equal to the non-responsive load ratio threshold, it usually indicates a higher risk of electricity theft or illegal electricity use behaviors. At this time, a power-off process is taken to prevent further power loss, and a warning message is sent to the user for further verification; by implementing the above strategies, the smart electricity meter can not only help monitor and manage electricity use, but also effectively prevent and combat electricity theft behaviors through real-time data analysis and automatic control functions, improving the overall safety and efficiency of the power system.

[0062] Embodiment 2

[0063] Please refer to Figure 2 , the exemplary intelligent electricity theft prevention electricity meter includes:

[0064] Abnormal calculation module: calculating the abnormal electricity consumption index of the real-time electricity consumption within the unit time interval according to the obtained real-time electricity consumption within the unit time interval and the historical electricity consumption within consecutive unit time intervals;

[0065] Data acquisition module: acquiring the real-time electricity consumption data of the unit time interval whose absolute value of the abnormal electricity consumption index is greater than a preset abnormal electricity consumption index threshold;

[0066] Index establishment module: establishing an electricity theft assessment index according to the real-time electricity consumption data, where establishing the electricity theft assessment index according to the real-time electricity consumption data includes:

[0067] Calculate the voltage change rate VCR based on the current voltage value in the real-time power consumption data, calculate the current change rate ICR based on the current current value in the real-time power consumption data, and calculate the power factor change amount PFCV based on the phase difference between the current voltage value and the current current value in the real-time power consumption data. Establish a power theft evaluation index SWTA based on the voltage change rate VCR, the current change rate ICR, and the power factor change amount PFCV;

[0068] Power theft evaluation module: Evaluate the real-time power consumption data for power theft based on the power theft evaluation index SWTA to generate a power theft evaluation score; and

[0069] Anti-power theft management module: When the power theft evaluation score is greater than a preset power theft evaluation score threshold, generate a management signal for anti-power theft management.

[0070] It should be noted that the intelligent anti-power theft electricity meter provided in the above embodiment and the intelligent anti-power theft method provided in the above embodiment belong to the same concept. The specific ways in which each module and unit perform operations have been described in detail in the method embodiment and will not be repeated here. In actual application, the intelligent anti-power theft electricity meter provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the electricity meter into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0071] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0072] It should be understood that the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this text generally represents an "or" relationship between the preceding and following associated objects, but it may also represent an "and / or" relationship. The specific meaning can be understood by referring to the context before and after.

[0073] In this application, "at least one" means one or more, and "a plurality" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural item(s). For example, at least one of a, b, or c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, and c can be single or multiple.

[0074] It should be understood that in various embodiments of this application, the magnitudes of the serial numbers of the above processes do not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not impose any limitation on the implementation process of the embodiments of this application.

[0075] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this text can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0076] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0077] In several embodiments provided in this application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0078] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, each functional unit in various embodiments of the present application may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0080] If the above function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0081] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. Intelligent anti-electricity theft method, characterized in that: include: Calculate the abnormal power consumption index of the real-time power consumption within the unit time interval based on the acquired real-time power consumption within the unit time interval and the historical power consumption within the continuous unit time intervals; Acquire real-time power consumption data of a unit time interval in which the absolute value of the abnormal power consumption index is greater than a preset abnormal power consumption index threshold; Establishing an electricity theft evaluation index according to the real-time electricity usage data, wherein establishing an electricity theft evaluation index according to the real-time electricity usage data comprises: Calculating a voltage change rate VCR according to a current voltage value in the real-time power consumption data, calculating a current change rate ICR according to a current current value in the real-time power consumption data, and calculating a power factor change PFCV according to a phase difference between a current voltage value and a current current value in the real-time power consumption data, and establishing a power theft assessment index SWTA according to the voltage change rate CVR, the current change rate ICR, and the power factor change PFCV; According to the electricity theft assessment index SWTA, the real-time electricity usage data is evaluated for electricity theft to generate an electricity theft assessment score; and When the electricity theft assessment score is greater than a preset electricity theft assessment score threshold, a management signal is generated to perform anti-electricity theft management.

2. The intelligent anti-electricity theft method according to claim 1, characterized in that: The calculating, based on the acquired real-time power consumption within the unit time interval and the historical power consumption within the continuous unit time intervals, the abnormal power consumption index of the real-time power consumption within the unit time interval includes: Calculate the average value of historical electricity consumption within the continuous unit time interval ; Calculate the historical power consumption within the continuous unit time interval relative to the average value Discrete value σ; According to the average and the discrete value σ, and calculate the abnormal power consumption index of the real-time power consumption within a unit time interval.

3. The intelligent anti-electricity theft method according to claim 2, characterized in that: The average The calculation logic is The calculation logic of the discrete value σ is: The calculation logic of the abnormal power consumption index is: Among them, x i is the historical electricity consumption in a unit time interval, n is the total number of unit time intervals, x is the real-time electricity consumption in a unit time interval; AEI is the abnormal electricity consumption index.

4. The intelligent anti-electricity theft method according to claim 1, characterized in that: The real-time power consumption data includes: a current voltage value, a current current value, a phase difference between the current voltage value and the current current value, a total load, and an unresponsive load.

5. The intelligent anti-electricity theft method according to claim 4, characterized in that: Before establishing the electricity theft evaluation index according to the real-time electricity consumption data, the method further includes: The real-time power consumption data is subjected to denoising preprocessing to remove high-frequency noise in the real-time power consumption data.

6. The intelligent anti-electricity theft method according to claim 1, characterized in that: The calculation logic of the voltage change rate VCR is: The calculation logic of the current change rate ICR is: The calculation logic of the power factor variation PFCV is: Where V is the current voltage value, V i is the historical voltage value within the unit time interval, m is the total number of unit time intervals, I is the current current value, I i is the historical current value within the unit time interval, θ is the phase difference between the current voltage value and the current current value, θ i It is the phase difference between the historical voltage value and the historical current value in the unit time interval.

7. The intelligent anti-electricity theft method according to claim 1, characterized in that: The calculation logic of the electricity theft assessment index SWTA is: SWTA=-w1*VCR+w2*|ICR|+(-w3)*PFCV, wherein w1, w2 and w3 are positive weight coefficients for adjusting the size of the score contribution.

8. The intelligent anti-electricity theft method according to claim 4, characterized in that: The preset electricity theft assessment score threshold is set based on historical data and demand. The electricity theft assessment score threshold is used to distinguish between normal electricity usage behavior and potential electricity theft behavior. The electricity theft assessment score generated by the electricity theft assessment index is compared with the preset electricity theft assessment score threshold. When the electricity theft assessment score is greater than the preset electricity theft assessment score threshold, it indicates that there is a risk of electricity theft within a real-time unit time interval, and a management signal is generated to perform anti-electricity theft management.

9. The intelligent anti-electricity theft method according to claim 7, characterized in that: When the electricity theft assessment score is greater than a preset electricity theft assessment score threshold, a management signal is generated to perform anti-electricity theft management, including: calculating the unresponsive load proportion according to the total load and the unresponsive load, and when the unresponsive load proportion is less than the unresponsive load proportion threshold, sending a reminder message to notify the user; when the unresponsive load proportion is greater than or equal to the unresponsive load proportion threshold, performing power-off processing and sending a warning message to notify the user, wherein the calculation logic of the unresponsive load proportion NRLP is NRLP=(NRL / TL)*100%, wherein NRL is the unresponsive load and TL is the total load.

10. Intelligent anti-electricity theft meter, characterized in that: include: Abnormal calculation module: calculates the abnormal power consumption index of the real-time power consumption within the unit time interval according to the acquired real-time power consumption within the unit time interval and the historical power consumption within the continuous unit time intervals; A data acquisition module: acquiring real-time power consumption data of a unit time interval in which the absolute value of the abnormal power consumption index is greater than a preset abnormal power consumption index threshold; Establishing an index module: establishing an electricity theft evaluation index according to the real-time electricity consumption data, wherein establishing an electricity theft evaluation index according to the real-time electricity consumption data includes: Calculating a voltage change rate VCR according to a current voltage value in the real-time power consumption data, calculating a current change rate ICR according to a current current value in the real-time power consumption data, and calculating a power factor change amount PFCV according to a phase difference between a current voltage value and a current current value in the real-time power consumption data, and establishing a power theft assessment index SWTA according to the voltage change rate VCR, the current change rate ICR, and the power factor change amount PFCV; An electricity theft assessment module: performs an electricity theft assessment on the real-time electricity usage data according to the electricity theft assessment index SWTA to generate an electricity theft assessment score; and Anti-electricity theft management module: when the electricity theft assessment score is greater than a preset electricity theft assessment score threshold, a management signal is generated to perform anti-electricity theft management.

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