Wiring detection method for intelligent electric energy meter and related product

Abstract

The invention discloses a wiring detection method for an intelligent electric energy meter and a related product, and the method comprises the steps: obtaining the measurement data of a phase line collected by the intelligent electric energy meter in a preset time period, the measurement data comprises phase voltage data, and each sampling point in the phase voltage data comprises an A-phase voltage, a B-phase voltage and a C-phase voltage; determining a sampling point number of an abnormal phase voltage in the phase voltage data; and determining the wiring fault type of the intelligent electric energy meter according to the ratio of the sampling point number of the abnormal phase voltage to the sampling point number of the effective phase voltage in the phase voltage data. Through the method, wiring errors such as reverse connection of the zero line and the phase line of the intelligent electric energy meter can be accurately identified.

Description

TECHNICAL FIELD

[0001] The present application generally relates to the technical field of smart electric energy meter. More particularly, the present application relates to a wiring detection method for a smart electric energy meter and related products. BACKGROUND

[0002] The smart electric energy meter is a basic device for data collection of smart grid, which is responsible for the collection, metering and transmission of raw electric energy data. For example, in a residential area, the smart electric energy meter collects the electric energy data of each household in real time, and uploads it to the power company's collection system through a wireless communication module, to help realize remote meter reading and step electricity price settlement.

[0003] However, in the actual operation process of the smart electric energy meter on-site meter installation and power connection business, due to the limited technical level of the meter installation and power connection staff, work negligence and carelessness, and the complex on-site operation environment, etc., the smart electric energy meter wiring error anomaly sometimes occurs. The smart electric energy meter wiring error will cause metering error, and there are three cases of over-metering, under-metering and normal metering. Therefore, in order to effectively avoid the error wiring anomaly of the smart electric energy meter in the power system and make the running smart electric energy meter achieve accurate metering, the wiring detection of the smart electric energy meter is particularly important.

[0004] Therefore, it is urgent to provide a wiring detection method for a smart electric energy meter and related products, so as to accurately identify the wiring error of the smart electric energy meter. SUMMARY

[0005] In order to at least solve one or more technical problems as mentioned above, the present application provides a wiring detection method for a smart electric energy meter and related products in multiple aspects, so as to accurately identify the wiring error of the smart electric energy meter.

[0006] In a first aspect, the present application provides a wiring detection method for a smart electric energy meter, comprising: acquiring measurement data of phase lines collected by the smart electric energy meter in a preset time period, wherein the measurement data comprises phase voltage data, each sampling point in the phase voltage data comprising A-phase voltage, B-phase voltage and C-phase voltage; determining the number of sampling points of abnormal phase voltage in the phase voltage data; and determining the wiring fault type of the smart electric energy meter according to the ratio of the number of sampling points of abnormal phase voltage to the number of sampling points of effective phase voltage in the phase voltage data.

[0007] In some embodiments, the determination of the number of sampling points of abnormal phase voltage in the phase voltage data comprises: judging whether the voltage of each sampling point in the phase voltage data satisfies a preset condition; and if the preset condition is satisfied, determining the voltage of the sampling point as abnormal phase voltage. The number of sampling points of abnormal phase voltage in the phase voltage data is counted.

[0008] In some embodiments, the preset condition comprises: the A-phase voltage is greater than 350 V, the B-phase voltage is greater than 350 V, and the C-phase voltage is greater than 176 V and less than 264 V.

[0009] In some embodiments, the determining the connection fault type of the smart electric energy meter according to the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage comprises: if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than a preset threshold, determining that the connection fault type of the smart electric energy meter is a zero line and phase line reverse connection type, wherein the zero line and phase line reverse connection type comprises a zero line and A-phase line reverse connection, a zero line and B-phase line reverse connection, and a zero line and C-phase line reverse connection.

[0010] In some embodiments, the preset threshold comprises 0.9.

[0011] In some embodiments, the measurement data further comprises phase current data and power factor data; and after the determining the connection fault type of the smart electric energy meter as the zero line and phase line reverse connection type if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than the preset threshold, the method further comprises: determining a phase voltage and a phase current phase angle of each phase corresponding to each abnormal sampling point according to a power factor of each abnormal sampling point in the power factor data, wherein the abnormal sampling point is a sampling point corresponding to the abnormal phase voltage; determining a phasor diagram of each abnormal sampling point according to the phase voltage, the phase current, and the phase angle of each phase corresponding to each abnormal sampling point; and determining a specific phase line of the smart electric energy meter reverse connected to the zero line according to a similarity between the phasor diagram and a preset target phasor diagram when each phase line is reverse connected to the zero line.

[0012] In some embodiments, after the determining the connection fault type of the smart electric energy meter as the zero line and phase line reverse connection type if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than the preset threshold, the method further comprises: obtaining a measured electric quantity of the smart electric energy meter and an electric quantity error coefficient corresponding to the smart electric energy meter; and determining a required complementary electric quantity according to the measured electric quantity and the electric quantity error coefficient.

[0013] In some embodiments, the electric quantity error coefficient comprises a correction coefficient and / or an error coefficient; when the smart electric energy meter is a three-phase four-wire direct type smart electric energy meter, the correction coefficient is 1 and the error coefficient is 0; and when the smart electric energy meter is a three-phase four-wire mutual inductance type smart electric energy meter, the correction coefficient is 3 / 2 and the error coefficient is -33%.

[0014] In some embodiments, the determining the required complementary electric quantity according to the measured electric quantity and the electric quantity error coefficient complies with any one of the following expressions: wherein, represents the electric quantity to be compensated, W represents the measured electric quantity of the smart electric energy meter, and K1 represents a correction coefficient; , wherein, represents the electric quantity to be compensated, W represents the measured electric quantity of the smart electric energy meter, and K2 represents an error coefficient.

[0015] In some embodiments, the method further comprises: determining a first electric quantity when the smart electric energy meter is correctly connected and a second electric quantity when the smart electric energy meter is connected reversely between the neutral line and the phase line, respectively, wherein the independent variables of the first electric quantity and the second electric quantity both include phase voltage, phase current, and power factor; and determining a ratio between the first electric quantity and the second electric quantity according to the relationships of the phase voltage, the phase current, and the power factor when the load end of the smart electric energy meter is in three-phase balance, to obtain the correction coefficient.

[0016] In some embodiments, the smart electric energy meter includes a three-phase four-wire straight-through type smart electric energy meter and / or a three-phase four-wire mutual inductance type smart electric energy meter.

[0017] In a second aspect, the embodiments of the present disclosure provide a processing device, comprising: a processor configured to execute program instructions; and a memory configured to store program instructions, which, when loaded and executed by the processor, cause the processor to execute the method of the first aspect and any one of the embodiments thereof.

[0018] In a third aspect, the embodiments of the present disclosure provide a computer-readable storage medium, which stores program instructions, which, when loaded and executed by a processor, cause the processor to execute the method of the first aspect and any one of the embodiments thereof.

[0019] By the wiring detection method for a smart electric energy meter as provided above, the wiring fault type of the smart electric energy meter can be accurately determined by the ratio of the sampling point numbers of the abnormal phase voltage and the effective phase voltage in the phase voltage data of the phase line collected by the smart electric energy meter in a preset time period. BRIEF DESCRIPTION OF DRAWINGS

[0020] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings in which a number of embodiments of the application are shown by way of example, and like reference numerals are used to refer to like elements throughout. In the drawings: Figure 1 An exemplary flowchart of the wiring detection method for a smart electric energy meter according to some embodiments of the present disclosure is shown; Figure 2 An exemplary flowchart of the wiring detection method for a smart electric energy meter according to some embodiments of the present disclosure is shown; Figure 3 An exemplary flow chart of a wiring detection method for a smart meter is shown for some embodiments of the present application; Figure 4 A target phasor diagram when the neutral line and the A phase line are connected reversely for a three-phase four-wire smart meter is shown for some embodiments of the present application; Figure 5 A correct wiring diagram for a three-phase four-wire smart meter is shown for some embodiments of the present application; Figure 6 A correct wiring phasor diagram for a three-phase four-wire smart meter is shown for some embodiments of the present application; Figure 7 A voltage loop and a current loop for each phase of a three-phase four-wire smart meter are shown for some embodiments of the present application; Figure 8 A wiring diagram when the neutral line and the A phase line are connected reversely for a three-phase four-wire smart meter is shown for some embodiments of the present application; Figure 9 An exemplary structural block diagram of a processing device is shown for some embodiments of the present application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts are within the scope of the present application.

[0022] It should be understood that the terms “comprise” and “include” used in the specification and claims of the present application indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0023] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and claims of the present application, the singular forms “a”, “an” and “the” are intended to include the plural forms unless the context clearly indicates otherwise. It should be further understood that the term “and / or” used in the specification and claims of the present application means any combination of one or more of the associated listed items and all possible combinations thereof, and includes these combinations.

[0024] As used in the specification and claims, the term "if' can be interpreted as meaning "when," or "upon," or "in response to a determination," or "in response to a detection" depending on the context. Similarly, the phrase "if it is determined" or "if [a described condition or event] is detected" can be interpreted as meaning "upon determining," or "in response to a determining," or "upon detecting [a described condition or event]," or "in response to a detection of [a described condition or event]," depending on the context.

[0025] The specific implementation of the present application is described in detail below in conjunction with the accompanying drawings.

[0026] Exemplary application scenarios In the actual operation process of the smart electric energy meter on-site meter installation and power connection service, due to the limited technical level of the meter installation and power connection staff, work negligence and carelessness, and complex on-site operation environment, etc., smart electric energy meter wiring error abnormalities sometimes occur. Therefore, in order to effectively avoid the wiring error abnormalities of the smart electric energy meter in the power system and make the running smart electric energy meter achieve accurate metering, the wiring detection of the smart electric energy meter is particularly important.

[0027] Exemplary application scenarios Therefore, the embodiment of the present application provides a wiring detection method for a smart electric energy meter, which can accurately determine the wiring fault type of the smart electric energy meter by the ratio of the sampling point number of the abnormal phase voltage to the effective phase voltage in the phase voltage data of the phase line collected by the smart electric energy meter in a preset period.

[0028] The wiring detection method for a smart electric energy meter provided by the embodiment of the present application is suitable for the wiring detection of a three-phase four-wire direct type smart electric energy meter and a three-phase four-wire mutual inductance type smart electric energy meter, which will not be described below.

[0029] Next, the three-phase four-wire direct type smart electric energy meter and the three-phase four-wire mutual inductance type smart electric energy meter are introduced.

[0030] Figure 5 (a) shows the correct wiring diagram of the three-phase four-wire direct type smart electric energy meter, and it can be seen that the correct wiring mode of the three-phase four-wire direct type smart electric energy meter is that the power supply end outgoing lines A phase, B phase, C phase and N line are respectively connected to the A phase, B phase, C phase and N line incoming line connection terminals of the smart electric energy meter; and the outgoing line connection terminals of the smart electric energy meter correspond to the output A phase, B phase, C phase and N line, which are respectively connected to the user load end. In this correct wiring state, Figure 6 (a) shows the correct wiring phasor diagram of the three-phase four-wire direct type smart electric energy meter, which intuitively displays the amplitude and phase relationship of each phase voltage and current.

[0031] Figure 5(b) shows the correct wiring diagram of the three-phase four-wire mutual inductance type smart electric energy meter. It can be seen that the correct wiring mode of the three-phase four-wire mutual inductance type smart electric energy meter is that the A-phase voltage is connected to the smart electric energy meter terminal 2 from the power line, the A-phase current is transformed into secondary current by the current (Current Transformer, CT) transformer and is connected to the smart electric energy meter terminals 1 and 3, respectively; the B-phase voltage is connected to the smart electric energy meter terminal 5 from the power line, the B-phase current is transformed into secondary current by the CT transformer and is connected to the smart electric energy meter terminals 4 and 6, respectively; the C-phase voltage is connected to the smart electric energy meter terminal 8 from the power line, the C-phase current is transformed into secondary current by the CT transformer and is connected to the smart electric energy meter terminals 7 and 9, respectively; the zero line is introduced into the smart electric energy meter terminal 10 from the power main line and is led out to the user load terminal from the terminal 11. In this correct wiring state, Figure 6 (b) shows the correct wiring phase diagram of the three-phase four-wire mutual inductance type smart electric energy meter. It should be noted that, Figure 6 Ua, Ub, Uc represent the phase voltages of A-phase, B-phase, and C-phase, respectively; Ia, Ib, Ic represent the phase currents of A-phase, B-phase, and C-phase, respectively, and θa, θb, θc represent the phase angle between the phase voltage and the phase current of A-phase, B-phase, and C-phase, respectively.

[0032] When the three-phase four-wire smart electric energy meter is working, the high voltage and large current signals of each phase are converted into low level signals that can be processed by the metering chip through the voltage loop and the current loop of each phase, and then sent to the special metering chip such as the ADE7858 type metering chip for metering to output the data of each phase voltage, each phase current, each phase power, each phase power factor, etc. It can be understood that the power factor (Power Factor, PF for short) is an index for measuring the power efficiency, which is equal to the ratio of the active power to the apparent power, and also equal to the cosine value of the phase difference between the phase voltage and the phase current in the circuit. Among them, a separate metering chip is arranged for each phase to process the voltage signal and the current signal obtained by sampling each phase, i.e., the A-phase, the B-phase, and the C-phase are each provided with a corresponding metering chip.

[0033] Next, the voltage loop and the current loop of each phase of the three-phase four-wire smart electric energy meter will be introduced respectively.

[0034] Figure 7 (a) shows the voltage loop of each phase of the three-phase four-wire smart electric energy meter, Figure 7 (b) shows the current loop of each phase of the three-phase four-wire smart electric energy meter. It can be seen that the voltage loop is sampled by the voltage dividing network, the current loop is sampled by the transformer and the resistance, and the information of the phase current, the phase voltage, the power, the power factor, etc. is outputted after being calculated by the special metering chip (not shown in the figure). It can be understood that, Figure 7(a) shows the actual input voltage of UA, UB, UC in the voltage loop, which represents the A phase, B phase, C phase, respectively, and UAP, UBP, UCP represent the sampled voltage signals, which are used to access the metering chip. Figure 7 (b) shows the actual input current of IAA+, IBB+, ICC+ in the current loop, which represents the A phase, B phase, C phase, respectively, and IAA-, IBB-, ICC- represent the reference negative or loop return end of the actual input current of the A phase, B phase, C phase, which is usually connected to the negative of the secondary side of the current transformer to form a complete current path. IAP, IBP, ICP are the current sampling positive signals of the A phase, B phase, C phase after current reduction and sampling resistance conversion by the current transformer, and IAN, IBN, ICN are the corresponding sampling negative signals. The six groups of signals form a differential input pair, that is, IAP and IAN, IBP and IBN, ICP and ICN, which can effectively suppress common mode interference and access the metering chip in the form of precise voltage difference.

[0035] Next, the zero line and phase line connection of the three-phase four-wire direct type intelligent electric energy meter and the three-phase four-wire mutual inductance type intelligent electric energy meter are exemplarily introduced.

[0036] Figure 8 (a) shows the connection diagram of the zero line and the A phase of the three-phase four-wire direct type intelligent electric energy meter. As shown in Figure 8 (a), the A phase connection terminal of the intelligent electric energy meter accesses the zero line, the B phase and the C phase connection are correct, the zero line connection terminal of the intelligent electric energy meter accesses the A phase, the voltage between the A phase and the zero line of the intelligent electric energy meter is phase voltage, the voltage between the B phase and the zero line of the intelligent electric energy meter is line voltage, and the voltage between the C phase and the zero line of the intelligent electric energy meter is line voltage. Similarly, the B phase and the zero line are connected in reverse, and the C phase and the zero line are connected in reverse, which is similar and will not be repeated.

[0037] Figure 8 (b) shows the connection diagram of the A phase and the zero line of the three-phase four-wire mutual inductance type intelligent electric energy meter. As shown in Figure 8 (b), the A phase voltage connection terminal of the intelligent electric energy meter accesses the zero line, the B phase and the C phase voltage connection terminals are correctly connected, the zero line connection terminal of the intelligent electric energy meter accesses the A phase, the voltage between the A phase and the zero line of the intelligent electric energy meter is phase voltage, the voltage between the B phase and the zero line of the intelligent electric energy meter is line voltage, and the voltage between the C phase and the zero line of the intelligent electric energy meter is line voltage. Similarly, the B phase and the zero line are connected in reverse, and the C phase and the zero line are connected in reverse, which is similar and will not be repeated.

[0038] The above is a detailed introduction to the three-phase four-wire direct type and three-phase four-wire mutual inductance type intelligent electric energy meter. For the above three-phase four-wire direct type and three-phase four-wire mutual inductance type intelligent electric energy meter, the application provides a connection detection method for the intelligent electric energy meter, so that the connection error of the zero line and the phase line of the three-phase four-wire intelligent electric energy meter can be accurately identified.

[0039] Figure 1 An exemplary flow chart of the wiring detection method 100 for the smart meter according to some embodiments of the present application is shown. As shown, the method 100 comprises steps S101-S103. Figure 1

[0040] In step S101, measurement data of phase lines collected by the smart meter in a preset time period is obtained, wherein the measurement data comprises phase voltage data, and each sampling point of the phase voltage data comprises A-phase voltage, B-phase voltage and C-phase voltage.

[0041] It should be noted that A-phase voltage, B-phase voltage and C-phase voltage all refer to phase voltage, and A-phase current, B-phase current and C-phase current all refer to phase current, which will not be repeated hereinafter.

[0042] In some embodiments, the preset time period is a natural day (00:00-24:00) as a basic unit. For example, the measurement data of phase lines collected by the smart meter in the current day is obtained. It can be understood that a three-phase four-wire smart meter comprises A-phase, B-phase and C-phase, and thus the collected measurement data comprises data of A-phase, B-phase and C-phase at each sampling point. Further, each sampling point of the phase voltage data comprises phase voltage of each phase of the smart meter. It can be understood that each sampling point of the measurement data is distinguished by time, for example, 2024-11:45 corresponds to one sampling point, and 2024-12:30 corresponds to one sampling point.

[0043] A high sampling frequency of the smart meter, i.e., a short sampling period, can result in a significant increase in the amount of measurement data in the preset time period, thereby increasing the complexity of data processing and calculation. For example, when the sampling frequency is 1 time / minute, 1440 groups of measurement data will be generated in a single day. Therefore, in some embodiments, in order to balance data accuracy and calculation efficiency, after obtaining the measurement data of phase lines collected by the smart meter in the preset time period, the measurement data is uniformly sampled, and the measurement data obtained by sampling is used for wiring detection of the smart meter.

[0044] Further, in some embodiments, the sampling interval can be set to be less than or equal to 60 minutes, and the specific value of the sampling interval is not limited in the present embodiment, which can be flexibly set by those skilled in the art. For example, the sampling interval can be set to 45 minutes, and thus the measurement data obtained after final uniform sampling is reduced to 32 groups of measurement data.

[0045] In step S102, the number of sampling points of abnormal phase voltage in the phase voltage data is determined.

[0046] In the present embodiment, the abnormal phase voltage is a phase voltage in the phase voltage data that satisfies a preset condition.

[0047] ​In some embodiments, to determine the number of sampling points of the abnormal phase voltage, it can be determined whether the phase voltage of each sampling point in the phase voltage data satisfies a preset condition. If the preset condition is satisfied, the phase voltage of the sampling point is determined as the abnormal phase voltage, otherwise, if the preset condition is not satisfied, the phase voltage of the sampling point is not the abnormal phase voltage. Then, finally, the number of sampling points of the abnormal phase voltage in the phase voltage data is counted.

[0048] Further, in some embodiments, the preset condition includes that the A-phase voltage is greater than 350V, the B-phase voltage is greater than 350V, and the C-phase voltage is greater than 176V and less than 264V. For example, the A-phase voltage of a certain sampling point a is 370V, the B-phase voltage is 390V, and the C-phase voltage is 250V. It can be seen that the line voltages of each phase of the sampling point a satisfy the preset condition, and thus the phase voltage of the sampling point a is the abnormal phase voltage. The A-phase voltage of a certain sampling point b is 240V, the B-phase voltage is 400V, and the C-phase voltage is 220V. It can be seen that the A-phase voltage of the sampling point b does not satisfy the preset condition, and thus the phase voltage of the sampling point b is not the abnormal phase voltage.

[0049] In step S103, according to the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage in the phase voltage data, the wiring fault type of the smart electric energy meter is determined.

[0050] In the present embodiment, the number of sampling points of the effective phase voltage is the total number of all sampling points in the phase voltage data. For example, the phase voltage data includes 32 sampling points, and thus the number of sampling points of the effective phase voltage is 32.

[0051] In some embodiments, if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than a preset threshold, it is determined that the wiring fault type of the smart electric energy meter is the zero line and phase line reverse connection type, wherein the zero line and phase line reverse connection type includes three reverse connection types of the zero line and A-phase line, the zero line and B-phase line, and the zero line and C-phase line. Otherwise, if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is less than or equal to the preset threshold, it is determined that the wiring fault type of the smart electric energy meter is not the zero line and phase line reverse connection type. Thus, based on the wiring detection method of the present embodiment, the zero line and phase line reverse connection type of the smart electric energy meter can be accurately identified.

[0052] Further, in some embodiments, the preset threshold is set to 0.9. In other words, if the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than 0.9, it is determined that the wiring fault type of the smart electric energy meter is the zero line and phase line reverse connection type. If the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is less than or equal to 0.9, it is determined that the wiring fault type of the smart electric energy meter is not the zero line and phase line reverse connection type.

[0053] It should be noted that the above preset threshold can also be flexibly adjusted according to different actual application scenarios. For example, in an industrial scene where the power grid environment is relatively complex and harmonic interference is more, in order to reduce misjudgment, the preset threshold can be appropriately increased, such as being adjusted to 0.95; and in a residential power consumption scene where the power grid runs stably and the interference is less, in order to more accurately identify the fault, the preset threshold can be appropriately reduced, such as being set to 0.85. In addition, the sampling accuracy and data processing capability of different types of smart meters are different, which will also affect the setting of the preset threshold. Generally, a smart meter with high sampling accuracy can use a relatively low preset threshold to improve the sensitivity of fault identification, and a smart meter with low sampling accuracy can use a relatively low preset threshold. The present embodiment does not make specific limitations.

[0054] The above overall combination Figure 1 The wiring detection method for a smart meter according to some embodiments of the present application is described in detail, which determines the sampling point number of abnormal phase voltage in the phase voltage data collected by the smart meter in a preset period, determines the wiring fault type of the smart meter according to the ratio of the sampling point number of abnormal phase voltage to the sampling point number of effective phase voltage in the phase voltage data. Through the above method, the wiring error such as the reverse connection of the zero line and the phase line of the smart meter can be accurately identified, so as to provide clear fault positioning for technicians and facilitate timely correction.

[0055] However, it can be understood that Figure 1 The method shown is exemplary and not limiting, and those skilled in the art can make flexible adjustments as needed. For example, in some embodiments, the preset threshold is set to a percentage, i.e. 0.9x100%=90%. In another embodiment, a decision function is set to determine the wiring fault type of the smart meter according to the result value of the decision function.

[0056] Specifically, when the ratio of the sampling point number of abnormal phase voltage to the sampling point number of effective phase voltage is greater than 0.9, the result value of the decision function is 1, and when the ratio of the sampling point number of abnormal phase voltage to the sampling point number of effective phase voltage is less than or equal to 0.9, the result value of the decision function is 0. Further, if the result value of the decision function is 1, it is determined that the wiring fault type of the smart meter is the reverse connection of the zero line and the phase line, and if the result value of the decision function is 0, it is determined that the wiring fault type of the smart meter is not the reverse connection of the zero line and the phase line.

[0057] Next, combined with Figure 2Further to the method 200 for connection detection of the smart meter according to some embodiments of the present application, the method 200 is an additional technical solution of the method 100, and can be executed after the step S103 of the method 100, and further can be executed after the step S102 of the method 100, when the connection fault type of the smart meter is determined as the zero line and the phase line are connected reversely. As shown in FIG. 2, the method 200 includes steps S201-S203. Figure 2

[0058] It should be noted that, in order to further determine the specific phase line connected reversely with the zero line of the smart meter, the measurement data obtained in the step S101 includes not only the phase voltage data, but also the power factor data and the phase current data. Further, the power factor data includes the power factor of each phase in the smart meter, and the phase current data includes the phase current of each phase in the smart meter.

[0059] In the step S201, the phase angle between the phase voltage and the phase current of each phase corresponding to the abnormal sampling point is determined according to the power factor of the abnormal sampling point in the power factor data, wherein the abnormal sampling point is the sampling point corresponding to the abnormal phase voltage.

[0060] In the present embodiment, it can be understood that the method 100 has determined the abnormal phase voltage in the measurement data, and the sampling point of the abnormal phase voltage is the abnormal sampling point. Then, the phase angle between the phase voltage and the phase current of each phase in the abnormal sampling point is calculated according to the power factor of each phase in the abnormal sampling point. Specifically, the phase angle between the phase voltage and the phase current of each phase can be calculated by using the trigonometric function algorithm: θ = arccos (PF), wherein θ represents the phase angle between the phase voltage and the phase current, and PF represents the power factor of the corresponding phase. Thus, the phase angle between the A-phase voltage and the A-phase current is θ a = arccos (PF a ), the phase angle between the B-phase voltage and the B-phase current is θ b = arccos (PF b ), and the phase angle between the C-phase voltage and the C-phase current is θ c = arccos (PF c ).

[0061] In the step S202, the phasor diagram of the abnormal sampling point is determined according to the phase voltage, the phase current and the phase angle of each phase corresponding to the abnormal sampling point. It can be understood that the phasor diagram of the smart meter is a complex domain diagram for intuitively displaying the amplitude and phase relationship of the phase voltage and the phase current in the three-phase circuit. The phasor diagram of each abnormal sampling point can be obtained according to the phase voltage, the phase current and the phase angle of each phase of the abnormal sampling point.

[0062] ​Step S203: determining the specific phase line of the smart electric energy meter connected reversely with the zero line according to the similarity between the phasor diagram and the preset target phasor diagram when each phase line and the zero line are connected reversely.

[0063] In this embodiment, the phasor diagram of the abnormal sampling point and the target phasor diagram are drawn in a uniform scale to ensure that the amplitude and phase relationship of the phasor such as phase voltage and phase current are comparable, thereby accurately identifying the specific phase line connected reversely with the zero line. It can be understood that the target phasor diagram is the phasor diagram when each phase line and the zero line of the smart electric energy meter are connected reversely. As an example, as shown in Figure 4 (a) and Figure 4 (b) respectively show the target phasor diagram when the zero line and the A phase line are connected reversely in the three-phase four-wire direct type smart electric energy meter and the three-phase four-wire mutual inductance type smart electric energy meter, wherein Ua, Ub and Uc respectively represent the phase voltage of the A phase, the B phase and the C phase; Ia, Ib and Ic represent the phase current of the A phase, the B phase and the C phase; Uca and Uba are the line voltage between the C phase and the A phase, and the B phase and the A phase, i.e. the voltage phasor difference between the C phase and the A phase, and the B phase and the A phase.

[0064] Therefore, the specific phase line of the smart electric energy meter connected reversely with the zero line can be accurately identified by the method 200 of this embodiment, thereby providing more specific fault positioning for the technician and facilitating timely correction.

[0065] In some embodiments, if the similarity between the phasor diagram of the abnormal sampling point and the target phasor diagram is greater than the preset similarity threshold, it is determined that the specific phase line of the smart electric energy meter connected reversely with the zero line is consistent with the reverse connection phase line corresponding to the target phasor diagram. For example, if the similarity between the phasor diagram of the abnormal sampling point and the target phasor diagram when the A phase line and the zero line are connected reversely is greater than the preset similarity threshold, it is determined that the specific phase line of the smart electric energy meter connected reversely with the zero line is the A phase line. If the similarity between the phasor diagram of the abnormal sampling point and the target phasor diagram when the B phase line and the zero line are connected reversely is greater than the preset similarity threshold, it is determined that the specific phase line of the smart electric energy meter connected reversely with the zero line is the B phase line.

[0066] In some embodiments, in order to ensure detection accuracy, when the similarity between the phasor diagram of the preset number of abnormal sampling points and the same target phasor diagram is greater than the preset similarity threshold, it is determined that the specific phase line of the smart electric energy meter connected reversely with the zero line is the reverse connection phase line corresponding to the target phasor diagram.

[0067] In some embodiments, the similarity between the phasor diagram of the abnormal sampling point and the target phasor diagram is determined according to the non-coincidence area ratio or profile deviation of the two diagrams by 1:1 coincidence of the phasor diagrams. The smaller the non-coincidence area ratio, the higher the similarity, and the smaller the profile deviation, the closer the profile, and the higher the similarity.

[0068] In some embodiments, the average phase angle of each phase of all abnormal sampling points can be determined according to the power factor of each phase of the power factor data of all abnormal sampling points; the average phase voltage of each phase of all abnormal sampling points in the phase voltage data and the average phase current of each phase of all abnormal sampling points in the phase current data are determined; and then the unique phasor diagram is determined according to the average phase voltage of each phase, the average phase current of each phase and the average phase angle of each phase. Then, the analysis of all abnormal sampling points is simplified to single-point analysis, and the specific phase line to which the smart electric energy meter is connected in reverse can be determined according to the similarity between the unique phasor diagram and the preset target phasor diagram when each phase line is connected in reverse to the zero line, so as to achieve the purpose of improving the efficiency.

[0069] The above Figure 2 The method 200 for detecting the connection of the smart electric energy meter is further described in general, which determines the phase voltage and phase current of each phase corresponding to each abnormal sampling point according to the power factor of each abnormal sampling point in the power factor data, then determines the phasor diagram of each abnormal sampling point according to the phase voltage, phase current and phase angle of each phase corresponding to each abnormal sampling point, and finally determines the specific phase line to which the smart electric energy meter is connected in reverse according to the similarity between the phasor diagram and the target phasor diagram when each phase line is connected in reverse to the zero line. The specific phase line to which the smart electric energy meter is connected in reverse can be accurately identified by the above connection detection method, so as to provide more specific fault positioning for the technician and facilitate timely correction. However, it can be understood that, Figure 2 The method shown is exemplary and not limiting, and those skilled in the art can make flexible adjustments as needed.

[0070] Next, the method 300 for detecting the connection of the smart electric energy meter according to some embodiments of the present application is described. Figure 3 The method 300 is an additional technical solution of the method 100 described above, which can be executed after step S103 of the method 100 described above, and can be further executed after it is determined that the connection fault type of the smart electric energy meter is the type of the zero line connected in reverse to the phase line, so as to perform electric quantity compensation for the electric quantity metering error caused by the zero line connected in reverse to the phase line, to ensure that the metering result conforms to the actual power consumption. As shown in Figure 3 The method 300 includes steps S301 and S302.

[0071] In step S301, the measured electric quantity of the smart electric energy meter and the electric quantity error coefficient corresponding to the smart electric energy meter are obtained.

[0072] In this embodiment, the measured electric quantity refers to the total electric quantity metered by the smart electric energy meter from the initial time when the current loop connection error fault occurs to the end time when the connection error fault is corrected.

[0073] In some embodiments, the power error coefficient includes a correction coefficient and / or an error coefficient. When the smart power meter is a three-phase four-wire direct type smart power meter, the correction coefficient is 1 and the error coefficient is 0. When the smart power meter is a three-phase four-wire mutual inductance type smart power meter, the correction coefficient is 3 / 2 and the error coefficient is -33%. It should be noted that when calculating the power to be compensated due to the reverse connection of the zero line and the phase line, the correction coefficient or the error coefficient can be selected for calculation.

[0074] In step S302, the power to be compensated is determined according to the measured power and the power error coefficient.

[0075] In some embodiments, when the correction coefficient is selected to calculate the power to be compensated, the following expression is used:

[0076] wherein, represents the power to be compensated, W represents the measured power of the smart power meter, and K1 represents the correction coefficient.

[0077] In some embodiments, when the error coefficient is selected to calculate the power to be compensated, the following expression is used:

[0078] wherein, represents the power to be compensated, W represents the measured power of the smart power meter, and K2 represents the error coefficient.

[0079] Therefore, by using the above power compensation method, the power metering error caused by the reverse connection of the zero line and the phase line of the smart power meter can be effectively solved, and the power metering accuracy can be significantly improved.

[0080] In some embodiments, after obtaining the power to be compensated, the power can be further multiplied by the unit price of the power to obtain the electricity fee to be paid, so as to avoid the user from overpaying or underpaying the electricity fee due to metering error, and to ensure the reasonable income of the power enterprise.

[0081] The above Figure 3 The overall description of the wiring detection method for the smart power meter in some embodiments of the present application is as follows: the measured power of the smart power meter and the corresponding power error coefficient of the smart power meter are obtained, and then the power to be compensated is determined according to the measured power and the power error coefficient, so as to ensure that the power metering meets the actual power consumption and to ensure the reasonable income of the power enterprise. However, it should be understood that, Figure 3 The method shown is exemplary and not limiting, and those skilled in the art can make flexible adjustments as needed.

[0082] In some embodiments, a method for determining the correction coefficient is also provided. Specifically, a first electric quantity under correct connection of the smart electric energy meter and a second electric quantity under the type of connection of the smart electric energy meter with the zero line and the phase line connected reversely are determined respectively, wherein the independent variables of the first electric quantity and the second electric quantity both include phase voltage, phase current and power factor, and then according to the phase voltage relationship, the phase current relationship and the phase power factor relationship of the load end of the smart electric energy meter under three-phase balance, the ratio between the first electric quantity and the second electric quantity is determined, which is the correction coefficient mentioned above. Under three-phase balance of the load end, the phase voltage relationship is Ua=Ub=Uc, the phase current relationship is Ia=Ib=Ic, and the phase power factor relationship is cosθa=cosθb=cosθc=cosθ. It can be understood that since the independent variables of the first electric quantity and the second electric quantity are the same, the correction coefficient can be obtained by comparing the two electric quantities and eliminating the independent variables. a b c That is, θa=θb=θc=θ. It can be understood that since the independent variables of the first electric quantity and the second electric quantity are the same, the correction coefficient can be obtained by comparing the two electric quantities and eliminating the independent variables.

[0083] In addition, it should be noted that the type of connection of the smart electric energy meter with the zero line and the phase line connected reversely includes three types of connection of the A phase line and the zero line connected reversely, the B phase line and the zero line connected reversely, and the C phase line and the zero line connected reversely, and the second electric quantity under each type of connection of the three types of connection of the smart electric energy meter with the zero line and the phase line connected reversely is obtained respectively, so as to finally determine the correction coefficient under the three types of connection of the smart electric energy meter with the zero line and the phase line connected reversely.

[0084] Further, it can be understood that the electric quantity W of the three-phase four-wire smart electric energy meter is Pt, wherein P represents total active power and t represents time. The total active power P is UIcosθ, wherein U represents phase voltage, I represents phase current, cosθ represents power factor, and θ represents the included angle between the phase voltage and the phase current. The total active power P is equal to the sum of the active power of each phase, that is, P=UIcosθ=Ua Ia cosθa+Ub Ib cosθb+Uc Ic ​​cos θc, where Ua, Ub, Uc, Ia, Ib, Ic represent the ABC three-phase voltage and current respectively, θa, θb, θc represent the included angle of the ABC three-phase voltage and current respectively, and cos θa, cos θb, cos θc represent the power factor of the ABC three-phase respectively. Based on this, in some embodiments, in order to make the independent variables of the above-mentioned electric quantity include phase voltage, phase current and power factor, the first total active power under correct wiring of the three-phase four-wire smart electric energy meter and the second total active power under incorrect wiring of the three-phase four-wire smart electric energy meter are determined first, so that the first total active power is substituted into the above-mentioned first electric quantity and the second total active power is substituted into the above-mentioned second electric quantity. Through this step, the independent variables of the first electric quantity and the second electric quantity both include phase voltage, phase current and power factor.

[0085] In some embodiments, after obtaining the first electric quantity under correct wiring of the three-phase four-wire smart electric energy meter and the second electric quantity under incorrect wiring of the three-phase four-wire smart electric energy meter, the error coefficient can be further calculated through the first electric quantity and the second electric quantity. The expression of the error coefficient is: (first electric quantity-second electric quantity) / first electric quantity.

[0086] Next, the determination of the correction coefficient of the above-mentioned three-phase four-wire straight-through type smart electric energy meter and three-phase four-wire mutual inductance type smart electric energy meter is exemplarily described, but only for example reference, and does not constitute a limitation on the embodiments of the present application.

[0087] Example 1 The first electric quantity W=Pt of the three-phase four-wire straight-through type smart electric energy meter under correct wiring, and the first total active power P=UIcos θ=Ua Ia cos θa+Ub Ib cos θb+Uc Ic cos θc. After substituting the first total active power into the first electric quantity, the first electric quantity W=P t=Ua Ia cos θa t+Ub Ib cos θb t+Uc Ic cos θc t. Based on the above description, where P represents the first total active power, t represents time, θ represents the angle between the phase voltage and the phase current phasor, cosθ represents the power factor, U and I represent the phase voltage and the phase current respectively, Ua, Ub, Uc, Ia, Ib, Ic represent the ABC three-phase voltage and current respectively, θa, θb, θc represent the angles of the ABC three-phase voltage and current respectively, and cosθa, cosθb, cosθc represent the power factors of the ABC three-phase. When the user load end is balanced in three phases, since Ia = Ib = Ic = I, Ua = Ub = Uc = U, and θa = θb = θc = θ, substituting them into the first electric quantity, the first electric quantity W = P t = Ua Ia cosθa t + Ub Ib cosθb t + Uc Ic cosθ t.

[0088] The second electric quantity W' = P't of the three-phase four-wire straight-through type intelligent electric energy meter under incorrect wiring, while the second total active power P' = U'I'cosθ'. Taking the case of A phase connected to the zero line in reverse, the active power of each phase is shown in Table 1, and based on this, the second total active power P' = U'I'cosθ' = Ua Ia cosθa + Ua Ib' cos(120° + θb) + Ua Ic' cos(120° - θb) + Uba Ib cos(30° - θb) + Uca Ic cos(30° + θc).

[0089] Table 1. Three-phase four-wire straight-through type intelligent electric energy meter A phase connected to the zero line in reverse

[0090] When the user load end is balanced in three phases, since Ia = Ib = Ic = I, Ua = Ub = Uc = U, and θa = θb = θc = θ, substituting them into the second electric quantity, P' = 3UIcosθ. Specifically, the calculation process is as follows: P' = U'I'cosθ' = Ua Ia cosθa + Ua Ib' cos(120°+θb)+Ua Ic' cos(120°-θb)+Uba Ib cos(30˚-θb)+Uca Ic cos(30˚+θc) =U I cosθ+U I cos(120°+θ)+U I cos(120°-θ)+ U I cos(30˚-θ)+ U I cos(30˚+θ) =UIcosθ+2UIcos120°cosθ+ UI(2cos30˚) cosθ) =UIcosθ-UIcosθ+3UIcosθ =3UIcosθ Based on the above calculations, we know that the first energy quantity P = 3UIcosθ, the second energy quantity P' = 3UIcosθ, and their ratio, i.e., the correction coefficient P / P' = 1. Therefore, for a three-phase four-wire straight-through smart energy meter with a wiring error of phase A being reversed with the neutral wire, the corresponding correction coefficient is 1. Similarly, for the two wiring error faults of phase B and phase C being reversed with the neutral wire in a three-phase four-wire straight-through smart energy meter, the correction coefficient obtained using the same method is also 1.

[0091] Example 2 The first electrical quantity of a three-phase four-wire mutual inductance smart energy meter, when correctly wired, is W=Pt, and the first total active power is P=UIcosθ=Ua. Ia cosθa+Ub Ib cosθb+Uc Ic cosθc. Substituting the first total active power into the first energy level, the first energy level W = P t=Ua Ia cosθa t+Ub Ib cos θb t+Uc Ic cos θc t. Based on the above description, wherein P represents the first active power, t represents time, θ represents the angle between the phase voltage and the phase current phasor, cos θ represents the power factor, U and I represent the phase voltage and the phase current respectively, Ua, Ub, Uc, Ia, Ib, Ic represent the ABC three-phase voltage and current respectively, θa, θb, θc represent the angles of the ABC three-phase voltage and current respectively, and cos θa, cos θb, cos θc represent the power factors of the ABC three-phase respectively. When the user load end three-phase is balanced, since Ia=Ib=Ic=I, Ua=Ub=Uc=U, θa=θb=θc=θ, substituting them into the first electric quantity, W=P t=Ua Ia cos θa t+Ub Ib cos θb t+Uc Ic cos θc t=3 U I

[0092] cos θ t.

[0093] The second electric quantity W’=P’t of the three-phase four-wire mutual inductance type smart electric energy meter under incorrect wiring, and the second total active power P’=U’I’cos θ’. Taking the example of A phase and zero line connection in reverse, the active power of each phase is shown in Table 2, and based on this, the second total active power P’=U’I’cos θ’ can be obtained Ua Ia cos (180°- θa) + Uba Ib cos (30°- θb) + Uca Ic cos (30°+ θc).

[0094] Table 2. Three-phase four-wire mutual inductance type smart electric energy meter A phase and zero line connection in reverse

[0095] When the user load end is balanced in three phases, since Ia=Ib=Ic=I, Ua=Ub=Uc=U, and θa=θb=θc=θ, they are substituted into the second electric quantity to obtain P’=2UIcosθ. Specifically, the calculation process is as follows: P’=U I cos(180˚-θ)+ U I cos(30˚-θ)+ U I cos(30˚+θ) =-UIcosθ+ UI(2cos30˚ cosθ) =2UIcosθ Based on the above calculation, the first electric quantity P=3UIcosθ, and the second electric quantity P’=2UIcosθ, and the ratio of the two is the correction coefficient P / P’=3 / 2. Therefore, the correction coefficient corresponding to the three-phase four-wire mutual inductance type intelligent electric energy meter under the type error wiring fault that the A-phase line is connected reversely with the zero line is 3 / 2. Similarly, for the two types of wiring error faults that the B-phase line is connected reversely with the zero line and the C-phase line is connected reversely with the zero line, the correction coefficients obtained by using the same method are also 3 / 2.

[0096] Exemplary application device In order to implement the method steps described in the foregoing description of the disclosure in combination with the drawings at the software and hardware levels, the embodiments of the disclosure further provide a processing apparatus. The processing apparatus can be a processing apparatus as shown in Figure 9 The exemplary structural block diagram of the processing apparatus 90 of the embodiments of the disclosure is shown in Figure 9 The processing apparatus 90 of the disclosure can include a processor 910 and a memory 920, as shown in Figure 9 The memory 920 stores an executable program. The processor 910 can load and execute the executable program, so that the processing apparatus 90 implements any method steps described in the foregoing description.

[0097] In one example scenario, the memory 920 can be controlled by using the processor 910. Further, the processor 910 can be a central processing unit (CPU), an application processor (AP), or the like integrated in the processing apparatus 90; and the memory 920 as hardware for realizing the storage function can be a read-only memory (ROM), a dynamic RAM (DRAM), or the like.

[0098] The embodiments of the present disclosure also provide a computer readable storage medium, wherein program instructions are stored, and the program instructions, when executed by a processor of a processing device, cause the processor to perform the method steps described in any of the embodiments of the present disclosure.

[0099] In the embodiments of the present disclosure, a computer program product is also provided, comprising a computer program or instructions, which, when executed by a processor, implement the method described in any of the embodiments of the present disclosure.

[0100] Although a plurality of embodiments of the present application have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, changes and substitutions can occur to one of ordinary skill in the art without departing from the idea and spirit of the present application. It is understood that in the course of practicing the present application, various alternatives to the embodiments of the present application described herein can be employed. The appended claims are intended to define the scope of the present application and thus cover any equivalents or alternatives within the scope of these claims.

Claims

1. A wiring detection method for smart energy meters, characterized in that, include: Acquire phase line measurement data collected by a smart energy meter during a preset time period, wherein the measurement data includes phase voltage data, and each sampling point in the phase voltage data includes phase A voltage, phase B voltage and phase C voltage; Determine the number of sampling points for abnormal phase voltages in the phase voltage data; The wiring fault type of the smart energy meter is determined based on the ratio of the number of sampling points for abnormal phase voltage to the number of sampling points for effective phase voltage in the phase voltage data.

2. The method according to claim 1, characterized in that, The determination of the number of sampling points for abnormal phase voltages in the phase voltage data includes: Determine whether the phase voltage at each sampling point in the phase voltage data meets the preset conditions; If the preset conditions are met, the phase voltage at the sampling point will be determined as an abnormal phase voltage; The number of sampling points for abnormal phase voltages in the phase voltage data is counted.

3. The method according to claim 2, characterized in that, The preset conditions include: phase A voltage greater than 350V, phase B voltage greater than 350V, and phase C voltage greater than 176V and less than 264V.

4. The method according to claim 1, characterized in that, The method of determining the wiring fault type of the smart energy meter based on the ratio of the number of sampling points for abnormal phase voltage to the number of sampling points for effective phase voltage in the phase voltage data includes: If the ratio of the number of sampling points of the abnormal phase voltage to the number of sampling points of the effective phase voltage is greater than a preset threshold, then the wiring fault type of the smart energy meter is determined to be the neutral wire and phase wire reversed type, wherein the neutral wire and phase wire reversed type includes the neutral wire and phase A wire reversed, the neutral wire and phase B wire reversed, and the neutral wire and phase C wire reversed.

5. The method according to claim 4, characterized in that, The preset threshold includes 0.

9.

6. The method according to claim 4, characterized in that, The measurement data also includes phase current data and power factor data; If the ratio of the number of sampling points for the abnormal phase voltage to the number of sampling points for the effective phase voltage is greater than a preset threshold, then after determining that the wiring fault type of the smart energy meter is the reverse connection type of the neutral and phase wires, the following steps are also included: Based on the power factor of each abnormal sampling point in the power factor data, determine the phase angle between the phase voltage and phase current of each phase corresponding to each abnormal sampling point, wherein the abnormal sampling point is the sampling point corresponding to the abnormal phase voltage. Based on the phase voltage, phase current and phase angle of each phase corresponding to each abnormal sampling point, determine the phasor diagram of each abnormal sampling point; Based on the similarity between the phasor diagram and the target phasor diagram when each phase line and the neutral line are reversed, the specific phase line of the smart energy meter that is reversed with the neutral line is determined.

7. The method according to claim 4, characterized in that, If the ratio of the number of sampling points for the abnormal phase voltage to the number of sampling points for the effective phase voltage is greater than a preset threshold, then after determining that the wiring fault type of the smart energy meter is the reverse connection type of the neutral and phase wires, the following steps are also included: Obtain the measured power consumption of the smart energy meter and the corresponding power consumption error coefficient of the smart energy meter; Based on the measured power consumption and the power consumption error coefficient, the amount of power consumption that needs to be supplemented is determined.

8. The method according to claim 7, characterized in that, The power error coefficient includes a correction coefficient and / or an error coefficient; wherein, when the smart energy meter is a three-phase four-wire direct-through smart energy meter, the correction coefficient is 1 and the error coefficient is 0; when the smart energy meter is a three-phase four-wire mutual inductance smart energy meter, the correction coefficient is 3 / 2 and the error coefficient is -33%.

9. The method according to claim 8, characterized in that, The determination of the amount of electricity to be supplemented based on the measured electricity and the electricity error coefficient follows any of the following expressions: ,in, This indicates the amount of electricity that needs to be replenished, where W represents the actual measured electricity consumption of the smart meter, and K1 represents the correction factor. ,in, The value of K2 represents the amount of electricity that needs to be replenished, W represents the actual amount of electricity measured by the smart meter, and K2 represents the error coefficient.

10. The method according to claim 8, characterized in that, The method further includes: Determine the first energy quantity under the correct wiring of the smart energy meter and the second energy quantity under the type of reverse connection of the neutral and phase wires of the smart energy meter, respectively. The independent variables of the first energy quantity and the second energy quantity include phase voltage, phase current and power factor. Based on the phase voltage relationship, phase current relationship, and phase power factor relationship of the load terminal connected to the smart energy meter when the three phases are in balance, the ratio between the first energy quantity and the second energy quantity is determined to obtain the correction coefficient.

11. The method according to claim 1, characterized in that, The smart energy meter includes a three-phase four-wire direct-through smart energy meter and / or a three-phase four-wire mutual inductance smart energy meter.

12. A processing apparatus, characterized in that, include: A processor, configured to execute program instructions; as well as A memory configured to store program instructions that, when loaded and executed by a processor, cause the processor to perform the method described in any one of claims 1 to 11.

13. A computer-readable storage medium storing program instructions, characterized in that, When the program instructions are loaded and executed by the processor, the processor performs the method according to any one of claims 1 to 11.

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