Fault identification method and device of three-phase four-wire electric energy meter, storage medium and equipment

Abstract

The invention discloses a fault identification method and device for a three-phase four-wire electric energy meter, a storage medium and equipment, belongs to the technical field of electric energy meters, and mainly aims at solving the problems that an existing three-phase four-wire electric energy meter is low in fault identification accuracy, low in automation degree and low in efficiency. Comprising total active power and total reactive power corresponding to each sampling moment, and a voltage monitoring value, a current monitoring value, an active power monitoring value and a reactive power monitoring value corresponding to each element; acquiring preset fault judgment conditions including a voltage judgment condition, a current judgment condition and a power judgment condition; based on a voltage judgment condition, a current judgment condition and a power judgment condition, performing fault analysis on the monitoring data at each sampling moment to obtain a fault analysis result corresponding to each sampling moment; and determining the fault condition of the three-phase four-wire electric energy meter based on the data proportion which does not meet the fault judgment condition in the fault analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy meters, and in particular to a fault identification method and device, storage medium and equipment for a three-phase four-wire electric energy meter. Background Art

[0002] With the development of economy and society, there are more and more types of electrical equipment, and the power system uses three-phase four-wire electricity meters to monitor users' electricity consumption.

[0003] At present, the fault identification of the three-phase four-wire energy meter on the user side is performed by artificial experience or instrument detection. Among them, the fault identification method using artificial experience is easily affected by the skill level of the personnel, and the fault identification method using an external fault detection instrument is easily limited by the working stability of the detection instrument and the wiring level of the detection personnel, resulting in the existing three-phase four-wire energy meter fault identification method having a low accuracy rate, a low degree of automation, and a low efficiency of fault identification. Summary of the invention

[0004] In view of this, the present invention provides a fault identification method and device, storage medium, and equipment for a three-phase four-wire electric energy meter, the main purpose of which is to solve the problems of low fault identification accuracy, low degree of automation, and low efficiency of existing three-phase four-wire electric energy meters.

[0005] According to one aspect of the present invention, a fault identification method for a three-phase four-wire electric energy meter is provided, comprising:

[0006] Acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes total active power and total reactive power corresponding to each sampling moment, and voltage monitoring value, current monitoring value, active power monitoring value and reactive power monitoring value corresponding to each component at each sampling moment;

[0007] Acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions;

[0008] Based on the voltage judgment condition, the current judgment condition and the power judgment condition, respectively, a fault analysis is performed on the monitoring data at each sampling moment to obtain a fault analysis result corresponding to each sampling moment;

[0009] Based on the proportion of data in the fault analysis result that does not meet the fault judgment condition, the fault condition of the three-phase four-wire electric energy meter is determined.

[0010] Furthermore, before obtaining the preset fault judgment condition, the method further includes:

[0011] Acquire the rated voltage of the three-phase four-wire electric energy meter, and determine the voltage judgment condition based on the rated voltage;

[0012] Acquire the rated current and the rated maximum current of the three-phase four-wire electric energy meter, and determine the current judgment condition based on the rated current and the rated maximum current;

[0013] The power judgment condition is determined based on the total active power, the total reactive power, the active power monitoring value corresponding to each element, and the power direction of the reactive power monitoring value.

[0014] Further, the fault analysis is performed on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and the fault analysis results corresponding to each sampling moment are obtained, including:

[0015] Determining a phase voltage judgment threshold based on the rated voltage of the three-phase four-wire electric energy meter;

[0016] Compare the voltage monitoring value corresponding to each component at each sampling moment with the phase voltage judgment threshold to obtain a voltage comparison result corresponding to each component;

[0017] The situation in which the voltage monitoring value corresponding to each element in the voltage comparison result is greater than or equal to the phase voltage judgment threshold is determined as satisfying the voltage judgment condition.

[0018] Further, the performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition to obtain the fault analysis results corresponding to each sampling moment also includes:

[0019] Determine a phase current judgment interval based on the rated current and the rated maximum current of the three-phase four-wire electric energy meter; the phase current judgment interval includes a first phase current judgment interval and a second phase current judgment interval;

[0020] Comparing the current monitoring value corresponding to each element at each sampling moment with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval respectively, to obtain a current comparison result corresponding to each element;

[0021] If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, the maximum current value and the minimum current value in the current monitoring values ​​are obtained, and the current imbalance is calculated based on the maximum current value and the minimum current value; if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current judgment interval, the current difference between the maximum current value and the minimum current value in the current monitoring values ​​is calculated;

[0022] The case where the current imbalance degree is less than a current imbalance threshold is determined as satisfying the current judgment condition; or the case where the current difference is less than a current difference threshold is determined as satisfying the current judgment condition.

[0023] Further, the performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition to obtain the fault analysis results corresponding to each sampling moment also includes:

[0024] Obtain the total active power and total reactive power corresponding to each sampling moment, and the power direction of the active power monitoring value and reactive power monitoring value corresponding to each element at each sampling moment;

[0025] Comparing the power direction of the total active power with the active power monitoring value corresponding to each element to obtain an active power direction comparison result; and comparing the power direction of the total reactive power with the reactive power monitoring value corresponding to each element to obtain a reactive power direction comparison result;

[0026] The situation in which the active power direction comparison result is the same direction and the reactive power direction comparison result is the same direction is determined as satisfying the power judgment condition.

[0027] Further, the determining of the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result includes:

[0028] Counting the number of fault sampling moments in the fault analysis result that do not meet the power judgment condition, provided that the voltage judgment condition and the current judgment condition are met;

[0029] Calculate the ratio of the number of fault sampling moments to the total sampling moments to obtain the ratio of data that does not meet the fault judgment condition;

[0030] When the data ratio exceeds a fault ratio threshold, it is determined that a fault exists in the three-phase four-wire electric energy meter, and a fault warning signal is triggered.

[0031] Furthermore, the method further comprises:

[0032] Obtaining on-site maintenance data of three-phase four-wire electric energy meters that are determined to be faulty;

[0033] The accuracy of fault identification is statistically calculated based on the on-site maintenance data, and the data ratio of the fault judgment condition is adjusted based on the accuracy.

[0034] According to another aspect of the present invention, a fault identification device for a three-phase four-wire electric energy meter is provided, comprising:

[0035] A data acquisition module, used to acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes the total active power and the total reactive power corresponding to each sampling moment, and the voltage monitoring value, the current monitoring value, the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment;

[0036] A condition acquisition module, used to acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions;

[0037] A fault analysis module, used to perform fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtain a fault analysis result corresponding to each sampling moment;

[0038] A fault determination module is used to determine the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result.

[0039] Furthermore, the device also includes a judgment condition determination module, which is used to:

[0040] Acquire the rated voltage of the three-phase four-wire electric energy meter, and determine the voltage judgment condition based on the rated voltage;

[0041] Acquire the rated current and the rated maximum current of the three-phase four-wire electric energy meter, and determine the current judgment condition based on the rated current and the rated maximum current;

[0042] The power judgment condition is determined based on the total active power, the total reactive power, the active power monitoring value corresponding to each element, and the power direction of the reactive power monitoring value.

[0043] Furthermore, the fault analysis module includes a voltage analysis unit, and the voltage analysis unit is used to:

[0044] Determining a phase voltage judgment threshold based on the rated voltage of the three-phase four-wire electric energy meter;

[0045] Compare the voltage monitoring value corresponding to each component at each sampling moment with the phase voltage judgment threshold to obtain a voltage comparison result corresponding to each component;

[0046] The situation in which the voltage monitoring value corresponding to each element in the voltage comparison result is greater than or equal to the phase voltage judgment threshold is determined as satisfying the voltage judgment condition.

[0047] Furthermore, the fault analysis module further includes a current analysis unit, and the current analysis unit is used to:

[0048] Determine a phase current judgment interval based on the rated current and the rated maximum current of the three-phase four-wire electric energy meter; the phase current judgment interval includes a first phase current judgment interval and a second phase current judgment interval;

[0049] Comparing the current monitoring value corresponding to each component at each sampling moment with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval respectively, to obtain a current comparison result corresponding to each component;

[0050] If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, the maximum current value and the minimum current value in the current monitoring values ​​are obtained, and the current imbalance is calculated based on the maximum current value and the minimum current value; if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current judgment interval, the current difference between the maximum current value and the minimum current value in the current monitoring values ​​is calculated;

[0051] The case where the current imbalance degree is less than a current imbalance threshold is determined as satisfying the current judgment condition; or the case where the current difference is less than a current difference threshold is determined as satisfying the current judgment condition.

[0052] Furthermore, the fault analysis module further includes a power direction analysis unit, and the power direction analysis unit is used to:

[0053] Obtain the total active power and total reactive power corresponding to each sampling moment, and the power direction of the active power monitoring value and reactive power monitoring value corresponding to each element at each sampling moment;

[0054] Comparing the power direction of the total active power with the active power monitoring value corresponding to each element to obtain an active power direction comparison result; and comparing the power direction of the total reactive power with the reactive power monitoring value corresponding to each element to obtain a reactive power direction comparison result;

[0055] The situation in which the active power direction comparison result is the same direction and the reactive power direction comparison result is the same direction is determined as satisfying the power judgment condition.

[0056] Furthermore, the fault determination module is also used for:

[0057] Counting the number of fault sampling moments in the fault analysis result that do not meet the power judgment condition, provided that the voltage judgment condition and the current judgment condition are met;

[0058] Calculate the ratio of the number of fault sampling moments to the total sampling moments to obtain the ratio of data that does not meet the fault judgment condition;

[0059] When the data ratio exceeds a fault ratio threshold, it is determined that a fault exists in the three-phase four-wire electric energy meter, and a fault warning signal is triggered.

[0060] Furthermore, the device also includes an adjustment module, which is used to:

[0061] Obtaining on-site maintenance data of three-phase four-wire electric energy meters that are determined to be faulty;

[0062] The accuracy of fault identification is statistically calculated based on the on-site maintenance data, and the data ratio of the fault judgment condition is adjusted based on the accuracy.

[0063] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned fault identification method for a three-phase four-wire electric energy meter.

[0064] According to another aspect of the present invention, there is provided a device, comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0065] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the fault identification method of the three-phase four-wire electric energy meter as described above.

[0066] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0067] The present invention provides a fault identification method and device, storage medium and equipment for a three-phase four-wire electric energy meter. Compared with the prior art, the present invention obtains monitoring data of the three-phase four-wire electric energy meter, the monitoring data including total active power and total reactive power corresponding to each sampling moment, and voltage monitoring value, current monitoring value, active power monitoring value and reactive power monitoring value corresponding to each component at each sampling moment; obtains preset fault judgment conditions, the fault judgment conditions including voltage judgment conditions, current judgment conditions and power judgment conditions; performs fault analysis on the monitoring data at each sampling moment based on the voltage judgment conditions, the current judgment conditions and the power judgment conditions, and obtains fault analysis results corresponding to each sampling moment; determines the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment conditions in the fault analysis results, and realizes automatic identification of the fault of the three-phase four-wire electric energy meter. The present invention is not limited by the skill level of personnel and does not require testing through external detection instruments. By acquiring the data of the three-phase four-wire electric energy meter and establishing fault judgment conditions according to the rules and logical relationships presented under different inductive and capacitive load characteristic states, accurate, automatic and intelligent identification of whether the three-phase four-wire electric energy meter is faulty can be achieved.

[0068] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0070] Figure 1 A schematic flow chart of a method for identifying a fault of a three-phase four-wire electric energy meter provided by an embodiment of the present invention is shown;

[0071] Figure 2 A circuit diagram of a transformer-connected low-voltage three-phase four-wire electric energy meter provided in an embodiment of the present invention is shown;

[0072] Figure 3 A schematic flow chart of another method for identifying a fault of a three-phase four-wire electric energy meter provided by an embodiment of the present invention is shown;

[0073] Figure 4 A schematic flow chart of another method for identifying a fault of a three-phase four-wire electric energy meter provided by an embodiment of the present invention is shown;

[0074] Figure 5 A schematic flow chart of another method for identifying a fault of a three-phase four-wire electric energy meter provided in an embodiment of the present invention is shown;

[0075] Figure 6 A schematic diagram showing the voltage and current phasors and the angles therebetween of a three-phase four-wire electric energy meter provided in an embodiment of the present invention is shown;

[0076] Figure 7 A schematic flow chart of another method for identifying a fault of a three-phase four-wire electric energy meter provided in an embodiment of the present invention is shown;

[0077] Figure 8 A schematic structural diagram of a fault identification device for a three-phase four-wire electric energy meter provided by an embodiment of the present invention is shown;

[0078] Fig. 9 A schematic structural diagram of a device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0079] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0080] The embodiment of the present invention provides a method for identifying a fault of a three-phase four-wire electric energy meter. Figure 1 As shown, the method includes:

[0081] 101. Acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes total active power and total reactive power corresponding to each sampling moment, and voltage monitoring value, current monitoring value, active power monitoring value and reactive power monitoring value corresponding to each component at each sampling moment;

[0082] In an embodiment of the present invention, the current execution end obtains monitoring data of a three-phase four-wire electric energy meter, and the monitoring data includes the total active power and total reactive power corresponding to each sampling moment, and the voltage monitoring value, current monitoring value, active power monitoring value, and reactive power monitoring value corresponding to each element at each sampling moment. Among them, each sampling moment is a sampling moment determined according to the sampling interval time. For example, when the sampling interval time is 1 hour, a day contains 24 sampling moments; when the sampling interval time is half an hour, a day contains 48 sampling moments, etc., and the embodiment of the present invention does not make specific limitations. Since each phase of the three-phase four-wire electric energy meter contains a monitoring element, its wiring is as follows: Figure 2As shown, the monitoring data corresponding to each component can be obtained, such as using U a , U b and U c To represent the voltage monitoring value corresponding to each component; I a ,I b and I c To respectively represent the current monitoring value corresponding to each component; P1, P2 and P3 are used to respectively represent the active power monitoring value corresponding to each component; Q1, Q2 and Q3 are used to respectively represent the reactive power monitoring value corresponding to each component, and the embodiments of the present invention do not make specific limitations.

[0083] 102. Obtaining preset fault judgment conditions, where the fault judgment conditions include voltage judgment conditions, current judgment conditions, and power judgment conditions;

[0084] In an embodiment of the present invention, the current execution end obtains preset fault judgment conditions, which are used to perform data analysis on voltage monitoring data, current monitoring data and power monitoring data, including voltage judgment conditions, current judgment conditions and power judgment conditions.

[0085] It should be noted that, before obtaining the preset fault judgment condition, the current execution end can set the fault judgment condition based on experience, such as obtaining the rated voltage U n , and based on the rated voltage U n Determine the voltage judgment condition; for example, obtain the rated current I of a three-phase four-wire energy meter n and rated maximum current I max , and based on the rated current I n and rated maximum current I max Determine the current judgment condition; such as determining the power judgment condition based on the total active power P, the total reactive power Q, the active power monitoring values ​​P1, P2 and P3 corresponding to each element, and the power direction of the reactive power monitoring values ​​Q1, Q2 and Q3 corresponding to each element in the monitoring data, which is not specifically limited in the embodiment of the present invention.

[0086] 103. Perform fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition, and the power judgment condition to obtain a fault analysis result corresponding to each sampling moment;

[0087] In the embodiment of the present invention, the current execution end firstly performs voltage monitoring data U in the monitoring data at each sampling time based on the voltage judgment condition. a , U b and U cPerform fault analysis to obtain voltage analysis results corresponding to each sampling moment, wherein the voltage analysis results include two types: satisfying the voltage judgment condition and not satisfying the voltage judgment condition; then, the current execution end performs fault analysis on the current monitoring data I in the monitoring data at each sampling moment based on the current judgment condition. a ,I b and I c Perform a fault analysis to obtain the current analysis results corresponding to each sampling moment, and the current analysis results include two types: satisfying the current judgment condition and not satisfying the current judgment condition; then, the current execution end performs a fault analysis on the total active power P, the total reactive power Q, the active power monitoring values ​​P1, P2 and P3 corresponding to each component, and the power direction of the reactive power monitoring values ​​Q1, Q2 and Q3 corresponding to each component in the monitoring data at each sampling moment based on the power judgment condition, and obtains the power analysis results corresponding to each sampling moment, and the power analysis results include two types: satisfying the power judgment condition and not satisfying the power judgment condition, which is not specifically limited in the embodiment of the present invention.

[0088] 104. Determine the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result.

[0089] In an embodiment of the present invention, the current execution end determines the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result. If there are 24 sampling moments in a day, and the monitoring data at more than 12 hours does not meet the fault judgment condition, it is considered that the data ratio exceeds 1 / 2, and the corresponding three-phase four-wire electric energy meter is determined to be faulty; if a day is divided into 48 sampling moments, and the monitoring data at more than 24 sampling moments does not meet the fault judgment condition, it is considered that the data ratio exceeds 1 / 2, and the corresponding three-phase four-wire electric energy meter is determined to be faulty, etc., and the embodiment of the present invention does not make specific limitations.

[0090] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to improve the accuracy and automation of fault identification, another fault identification method for a three-phase four-wire electric energy meter is provided, such as Figure 3 As shown, the steps of performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtaining the fault analysis results corresponding to each sampling moment include:

[0091] 201. Determine a phase voltage judgment threshold based on the rated voltage of the three-phase four-wire electric energy meter;

[0092] 202. Compare the voltage monitoring value corresponding to each component at each sampling moment with the phase voltage judgment threshold to obtain a voltage comparison result corresponding to each component;

[0093] 203. Determine, in the voltage comparison result, that the voltage monitoring value corresponding to each element is greater than or equal to the phase voltage judgment threshold as satisfying the voltage judgment condition.

[0094] In the embodiment of the present invention, the current execution end is based on the rated voltage U of the three-phase four-wire electric energy meter. n Determine the phase voltage judgment threshold, such as the rated voltage U n Multiply it by a coefficient to get the phase voltage judgment threshold αU n , α can be 0.9, 0.85, 0.95, etc., which is not specifically limited in the embodiment of the present invention. After determining the phase voltage judgment threshold, the current execution end calculates the voltage monitoring value U corresponding to each component at each sampling time. a , U b and U c Respectively with the phase voltage judgment threshold αU n Compare and obtain the voltage comparison result corresponding to each component; then, in the voltage comparison result, the voltage monitoring value corresponding to each component is greater than or equal to the phase voltage judgment threshold value, which is determined to meet the voltage judgment condition, that is, when U a ≥αU n , U b ≥αU n , U c ≥αU n When all of the above conditions are met, it is determined that the voltage judgment condition is met, and the embodiment of the present invention does not make any specific limitation.

[0095] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to improve the accuracy and automation of fault identification, another fault identification method for a three-phase four-wire electric energy meter is provided, such as Figure 4 As shown, the step of performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtaining the fault analysis results corresponding to each sampling moment also includes:

[0096] 301. Determine a phase current judgment interval based on the rated current and the rated maximum current of the three-phase four-wire electric energy meter; the phase current judgment interval includes a first phase current judgment interval and a second phase current judgment interval;

[0097] In the embodiment of the present invention, the current execution end is based on the rated current I of the three-phase four-wire electric energy meter. n and rated maximum current I max Determine the phase current judgment interval, such as the rated current I n Add different proportionality factors and combine them with the rated maximum current I max Determine the phase current judgment interval as [5%In , 50%I n ]U(50%I n , I max ], where the interval [5%I n , 50%I n ] is the first phase current judgment interval; interval (50%I n , I max ] is the second phase current judgment interval, which is not specifically limited in the embodiment of the present invention.

[0098] 302. Compare the current monitoring value corresponding to each component at each sampling moment with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval to obtain a current comparison result corresponding to each component;

[0099] In the embodiment of the present invention, the current execution end converts the current monitoring value I corresponding to each element at each sampling moment into a ,I b and I c The current monitoring value is compared with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval. Specifically, when comparing, the current monitoring value is first compared with the demarcation point of the first and second phase current judgment intervals. For example, the demarcation point of the first and second phase current judgment intervals in step 301 is 50%I n After comparison, the current monitoring value I is determined from the first and second phase current judgment intervals. a ,I b and I c To which interval each element belongs, the current comparison result corresponding to each element is obtained.

[0100] 303. If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, obtain the maximum current value and the minimum current value in the current monitoring values, and calculate the current imbalance based on the maximum current value and the minimum current value; if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current judgment interval, calculate the current difference between the maximum current value and the minimum current value in the current monitoring values;

[0101] In the embodiment of the present invention, the current execution end performs data analysis based on the current comparison result. If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, the maximum current value and the minimum current value in the current monitoring value are obtained, and the current imbalance is calculated based on the maximum current value and the minimum current value. The specific calculation formula is as follows:

[0102]

[0103] In addition, if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current determination interval, the current difference between the maximum current value and the minimum current value in the current monitoring values ​​is calculated.

[0104] 304. Determine that the current imbalance degree is less than a current imbalance threshold as satisfying the current judgment condition; or determine that the current difference is less than a current difference threshold as satisfying the current judgment condition.

[0105] In an embodiment of the present invention, the current execution end determines that the current imbalance calculated in step 303 is less than the current imbalance threshold as satisfying the current judgment condition; or, determines that the current difference calculated in step 303 is less than the current difference threshold as satisfying the current judgment condition.

[0106] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to improve the accuracy and automation of fault identification, another fault identification method for a three-phase four-wire electric energy meter is provided, such as Figure 5 As shown, the step of performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtaining the fault analysis results corresponding to each sampling moment also includes:

[0107] 401. Obtain the total active power and the total reactive power corresponding to each sampling moment, and the power direction of the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment;

[0108] 402. Compare the total active power with the power direction of the active power monitoring value corresponding to each element to obtain an active power direction comparison result; and compare the total reactive power with the power direction of the reactive power monitoring value corresponding to each element to obtain a reactive power direction comparison result;

[0109] 403. Determine that the active power direction comparison result is the same direction and the reactive power direction comparison result is the same direction as satisfying the power judgment condition.

[0110] In the embodiment of the present invention, the current execution end obtains the total active power P and the total reactive power Q corresponding to each sampling moment, and the active power monitoring values ​​P1, P2 and P3 corresponding to each element at each sampling moment, and the power direction of the reactive power monitoring values ​​Q1, Q2 and Q3 corresponding to each element at each sampling moment; then, the total active power is compared with the power direction of the active power monitoring value corresponding to each element to obtain the active power direction comparison result; and the total reactive power is compared with the power direction of the reactive power monitoring value corresponding to each element to obtain the reactive power direction comparison result; finally, the active power direction comparison result is the same direction, and the reactive power direction comparison result is the same direction. The situation that the power judgment condition is met, and the active power comparison result and the reactive power comparison result that meet the power judgment condition are more directly expressed in a list, as shown in Tables 1 to 4 below:

[0111] Table 1

[0112] Serial number parameter Power direction 1 Total active power P Positive 2 The first component active power P1 Positive 3 The second component active power P2 Positive 4 The third component active power P3 Positive 5 Total reactive power Q Positive 6 The first element reactive power Q1 Positive 7 The second component reactive power Q2 Positive 8 The third component reactive power Q3 Positive

[0113] Table 2

[0114] Serial number parameter Power direction 1 Total active power P Reverse 2 The first component active power P1 Reverse 3 The second component active power P2 Reverse 4 The third component active power P3 Reverse 5 Total reactive power Q Positive 6 The first element reactive power Q1 Positive 7 The second component reactive power Q2 Positive 8 The third component reactive power Q3 Positive

[0115] Table 3

[0116]

[0117]

[0118] Table 4

[0119] Serial number parameter Power direction 1 Total active power P Positive 2 The first component active power P1 Positive 3 The second component active power P2 Positive 4 The third component active power P3 Positive 5 Total reactive power Q Reverse 6 The first element reactive power Q1 Reverse 7 The second component reactive power Q2 Reverse 8 The third component reactive power Q3 Reverse

[0120] It should be noted that when the total active power P, the total reactive power Q, the active power monitoring values ​​P1, P2 and P3 corresponding to each element at each sampling moment, and the power directions of the reactive power monitoring values ​​Q1, Q2 and Q3 corresponding to each element at each sampling moment appear in the combinations in Tables 1 to 4 above, it is considered that the power judgment conditions are met; otherwise, if any one of the items does not meet any of the four combinations in Tables 1 to 4 above, it is considered that the power judgment conditions are not met.

[0121] In the embodiment of the present invention, a 10kV dedicated transformer user uses a high supply and low metering method and adopts a three-phase four-wire electric energy meter for measurement. The parameters of the three-phase four-wire electric energy meter are: rated voltage U n =220V, rated current I n =1.5A, maximum current I max =6A. The monitoring data at a certain sampling time is:

[0122] The voltage monitoring value corresponding to each component is: Ua =229.1V, U b =230.7V, U c =229.2V;

[0123] The current monitoring value corresponding to each component is: I a =-1.21A, I b =-1.26A, I c = -1.16A;

[0124] The active power monitoring value corresponding to each element is: P a =-209.21W, P b =-55.46W, P c =-251.39W;

[0125] The reactive power monitoring value corresponding to each component is: Q a =181.87var, Q b =-285.33var, Q c =-86.56var;

[0126] Total active power P = -516.07W, total reactive power Q = -190.03var;

[0127] The current execution end first makes a voltage judgment based on the above monitoring data, and the voltage judgment condition is met; then the current judgment is made based on the above monitoring data, and the current monitoring values ​​are all greater than 0.5I n , are both within the second phase current judgment interval, then the maximum current value I′ in the current monitoring value is calculated max =1.26A and minimum current value I min =1.16A is 0.1A. Since the current difference of 0.1A is less than the current difference threshold of 0.2A, it is confirmed that the current judgment condition is met. After the voltage judgment condition and the current judgment condition are met, it is considered that the load is in a basically symmetrical state. Then, when the load is in a basically symmetrical state, the power is judged. The above-mentioned monitored power data is sorted into a table related to the power direction, as shown in Table 5 below:

[0128] Table 5

[0129] Serial number parameter Numeric Power direction 1 Total active power P -516.07W Reverse 2 The first element active power P1 -209.21W Reverse 3 The second component active power P2 -55.46W Reverse 4 The third component active power P3 -251.39W Reverse 5 Total reactive power Q -190.03var Reverse 6 The first element reactive power Q1 181.87var Positive 7 The second component reactive power Q2 -285.33var Reverse 8 The third component reactive power Q3 -86.56var Reverse

[0130] By comparing Table 5 with Tables 1 to 4 above, it can be determined that Table 5 does not conform to any combination of Tables 1 to 4 above, and it is determined that the power judgment condition is not met. Therefore, the sampling moment is the fault sampling moment, which is not specifically limited in the embodiment of the present invention.

[0131] The voltage and current phases and the angle between them of a three-phase four-wire energy meter are shown as follows Figure 6 As shown, U1 leads U2 by 120°; U1 leads U3 by 240°; U1 leads I1 by 139°; U2 leads I2 by 259°; and U3 leads I3 by 199°. After on-site inspection, it was found that the wiring of the three-phase four-wire energy meter is as follows:

[0132]

[0133] From the wiring, it can be concluded that the first group of components is connected The second set of components is connected The third set of components is connected There is a wiring error fault.

[0134] Further, as a refinement and expansion of the specific implementation of the above embodiment, in order to quickly and accurately identify faults, another fault identification method for a three-phase four-wire electric energy meter is provided, such as Figure 7 As shown, the step of determining the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result includes:

[0135] 501. Count the number of fault sampling moments in the fault analysis result that do not meet the power judgment condition under the premise that the voltage judgment condition and the current judgment condition are met;

[0136] 502. Calculate the ratio of the number of fault sampling moments to the total sampling moments to obtain the ratio of data that does not meet the fault judgment condition;

[0137] 503. When the data ratio exceeds a fault ratio threshold, it is determined that the three-phase four-wire electric energy meter has a fault, and a fault warning signal is triggered.

[0138] In the embodiment of the present invention, the current execution end counts the number of fault sampling moments in the fault analysis results that simultaneously meet the voltage judgment condition and the current judgment condition, but do not meet the power judgment condition; and calculates the proportion of the number of fault sampling moments to the total sampling moments, and obtains the proportion of data that do not meet the fault judgment condition; if the monitoring data of 6 sampling moments out of 24 sampling moments simultaneously meet the voltage judgment condition and the current judgment condition, but do not meet the power judgment condition, the calculated proportion of data that do not meet the fault judgment condition is 0.25; if the monitoring data of 24 sampling moments out of 48 sampling moments simultaneously meet the voltage judgment condition and the current judgment condition, but do not meet the power judgment condition, the calculated proportion of data that do not meet the fault judgment condition is 0.5, etc., which is not specifically limited in the embodiment of the present invention. Then, the current execution end compares the calculated data ratio with the preset fault ratio threshold value. When the data ratio exceeds the fault ratio threshold value, it is determined that the three-phase four-wire electric energy meter has a fault, and a fault warning signal is triggered.

[0139] It should be noted that the current execution end can also obtain the on-site maintenance data of the three-phase four-wire electric energy meter that is determined to have a fault; the accuracy of fault identification is statistically calculated based on the on-site maintenance data, and the data ratio of the fault judgment condition is adjusted based on the accuracy. For example, when the accuracy is low, the data ratio of the fault judgment condition can be increased; when the accuracy is high, the data ratio of the fault judgment condition can be reduced in order to reduce the amount of calculation, etc., which is not specifically limited in the embodiments of the present invention.

[0140] An embodiment of the present invention provides a fault identification method for a three-phase four-wire electric energy meter. Compared with the prior art, the present invention obtains monitoring data of the three-phase four-wire electric energy meter, the monitoring data including the total active power and the total reactive power corresponding to each sampling moment, and the voltage monitoring value, the current monitoring value, the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment; obtains preset fault judgment conditions, the fault judgment conditions including the voltage judgment condition, the current judgment condition and the power judgment condition; based on the voltage judgment condition, the current judgment condition and the power judgment condition, respectively performs fault analysis on the monitoring data at each sampling moment to obtain fault analysis results corresponding to each sampling moment; based on the proportion of data that does not meet the fault judgment condition in the fault analysis result, determines the fault condition of the three-phase four-wire electric energy meter, thereby realizing automatic identification of the fault of the three-phase four-wire electric energy meter. The present invention is not limited by the skill level of personnel and does not require testing through external detection instruments. By acquiring the data of the three-phase four-wire electric energy meter and establishing fault judgment conditions according to the rules and logical relationships presented under different inductive and capacitive load characteristic states, accurate, automatic and intelligent identification of whether the three-phase four-wire electric energy meter is faulty can be achieved.

[0141] As the above Figure 1 The embodiment of the present invention provides a fault identification device for a three-phase four-wire electric energy meter, such as Figure 8 As shown, the device comprises:

[0142] A data acquisition module 61 is used to acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes the total active power and the total reactive power corresponding to each sampling moment, and the voltage monitoring value, the current monitoring value, the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment;

[0143] A condition acquisition module 62, used to acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions;

[0144] A fault analysis module 63, configured to perform fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtain a fault analysis result corresponding to each sampling moment;

[0145] The fault determination module 64 is used to determine the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result.

[0146] Furthermore, the device also includes a judgment condition determination module, which is used to:

[0147] Acquire the rated voltage of the three-phase four-wire electric energy meter, and determine the voltage judgment condition based on the rated voltage;

[0148] Acquire the rated current and the rated maximum current of the three-phase four-wire electric energy meter, and determine the current judgment condition based on the rated current and the rated maximum current;

[0149] The power judgment condition is determined based on the total active power, the total reactive power, the active power monitoring value corresponding to each element, and the power direction of the reactive power monitoring value.

[0150] Furthermore, the fault analysis module 63 includes a voltage analysis unit, and the voltage analysis unit is used to:

[0151] Determining a phase voltage judgment threshold based on the rated voltage of the three-phase four-wire electric energy meter;

[0152] Compare the voltage monitoring value corresponding to each component at each sampling moment with the phase voltage judgment threshold to obtain a voltage comparison result corresponding to each component;

[0153] The situation in which the voltage monitoring value corresponding to each element in the voltage comparison result is greater than or equal to the phase voltage judgment threshold is determined as satisfying the voltage judgment condition.

[0154] Furthermore, the fault analysis module 63 further includes a current analysis unit, and the current analysis unit is used to:

[0155] Determine a phase current judgment interval based on the rated current and the rated maximum current of the three-phase four-wire electric energy meter; the phase current judgment interval includes a first phase current judgment interval and a second phase current judgment interval;

[0156] Comparing the current monitoring value corresponding to each component at each sampling moment with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval respectively, to obtain a current comparison result corresponding to each component;

[0157] If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, the maximum current value and the minimum current value in the current monitoring values ​​are obtained, and the current imbalance is calculated based on the maximum current value and the minimum current value; if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current judgment interval, the current difference between the maximum current value and the minimum current value in the current monitoring values ​​is calculated;

[0158] The case where the current imbalance degree is less than a current imbalance threshold is determined as satisfying the current judgment condition; or the case where the current difference is less than a current difference threshold is determined as satisfying the current judgment condition.

[0159] Furthermore, the fault analysis module 63 further includes a power direction analysis unit, and the power direction analysis unit is used to:

[0160] Obtain the total active power and total reactive power corresponding to each sampling moment, and the power direction of the active power monitoring value and reactive power monitoring value corresponding to each element at each sampling moment;

[0161] Comparing the power direction of the total active power with the active power monitoring value corresponding to each element to obtain an active power direction comparison result; and comparing the power direction of the total reactive power with the reactive power monitoring value corresponding to each element to obtain a reactive power direction comparison result;

[0162] The situation in which the active power direction comparison result is the same direction and the reactive power direction comparison result is the same direction is determined as satisfying the power judgment condition.

[0163] Furthermore, the fault determination module 64 is also used for:

[0164] Counting the number of fault sampling moments in the fault analysis result that do not meet the power judgment condition, provided that the voltage judgment condition and the current judgment condition are met;

[0165] Calculate the ratio of the number of fault sampling moments to the total sampling moments to obtain the ratio of data that does not meet the fault judgment condition;

[0166] When the data ratio exceeds a fault ratio threshold, it is determined that a fault exists in the three-phase four-wire electric energy meter, and a fault warning signal is triggered.

[0167] Furthermore, the device also includes an adjustment module, which is used to:

[0168] Obtaining on-site maintenance data of three-phase four-wire electric energy meters that are determined to be faulty;

[0169] The accuracy of fault identification is statistically calculated based on the on-site maintenance data, and the data ratio of the fault judgment condition is adjusted based on the accuracy.

[0170] An embodiment of the present invention provides a fault identification device for a three-phase four-wire electric energy meter. Compared with the prior art, the present invention obtains monitoring data of the three-phase four-wire electric energy meter, the monitoring data including the total active power and the total reactive power corresponding to each sampling moment, and the voltage monitoring value, the current monitoring value, the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment; obtains preset fault judgment conditions, the fault judgment conditions including the voltage judgment condition, the current judgment condition and the power judgment condition; based on the voltage judgment condition, the current judgment condition and the power judgment condition, respectively performs fault analysis on the monitoring data at each sampling moment to obtain fault analysis results corresponding to each sampling moment; based on the proportion of data that does not meet the fault judgment condition in the fault analysis result, determines the fault condition of the three-phase four-wire electric energy meter, thereby realizing automatic identification of the fault of the three-phase four-wire electric energy meter. The present invention is not limited by the skill level of personnel and does not require testing through external detection instruments. By acquiring the data of the three-phase four-wire electric energy meter and establishing fault judgment conditions according to the rules and logical relationships presented under different inductive and capacitive load characteristic states, accurate, automatic and intelligent identification of whether the three-phase four-wire electric energy meter is faulty can be achieved.

[0171] According to an embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the fault identification method of the three-phase four-wire electric energy meter in any of the above method embodiments.

[0172] Fig. 9 A schematic diagram of the structure of a device provided according to an embodiment of the present invention is shown, and the specific embodiment of the present invention does not limit the specific implementation of the device.

[0173] like Fig. 9 As shown, the device may include: a processor (processor) 702 , a communication interface (Communications Interface) 704 , a memory (memory) 706 , and a communication bus 708 .

[0174] The processor 702 , the communication interface 704 , and the memory 706 communicate with each other via a communication bus 708 .

[0175] The communication interface 704 is used to communicate with other devices such as clients or other servers.

[0176] The processor 702 is used to execute the program 710, and specifically can execute the relevant steps of the above-mentioned three-phase four-wire electric energy meter fault identification method.

[0177] Specifically, the program 710 may include program codes, which include computer operation instructions.

[0178] The processor 702 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The one or more processors included in the device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0179] The memory 706 is used to store the program 710. The memory 706 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0180] The program 710 may be specifically configured to enable the processor 702 to perform the following operations:

[0181] Acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes total active power and total reactive power corresponding to each sampling moment, and voltage monitoring value, current monitoring value, active power monitoring value and reactive power monitoring value corresponding to each component at each sampling moment;

[0182] Acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions;

[0183] Based on the voltage judgment condition, the current judgment condition and the power judgment condition, respectively, a fault analysis is performed on the monitoring data at each sampling moment to obtain a fault analysis result corresponding to each sampling moment;

[0184] Based on the proportion of data in the fault analysis result that does not meet the fault judgment condition, the fault condition of the three-phase four-wire electric energy meter is determined.

[0185] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0186] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for identifying a fault of a three-phase four-wire electric energy meter, characterized in that: include: Acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes total active power and total reactive power corresponding to each sampling moment, and voltage monitoring value, current monitoring value, active power monitoring value and reactive power monitoring value corresponding to each component at each sampling moment; Acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions; Based on the voltage judgment condition, the current judgment condition and the power judgment condition, respectively, a fault analysis is performed on the monitoring data at each sampling moment to obtain a fault analysis result corresponding to each sampling moment; Based on the proportion of data in the fault analysis result that does not meet the fault judgment condition, the fault condition of the three-phase four-wire electric energy meter is determined.

2. The method according to claim 1, characterized in that: Before obtaining the preset fault judgment condition, the method further includes: Acquire the rated voltage of the three-phase four-wire electric energy meter, and determine the voltage judgment condition based on the rated voltage; Acquire the rated current and the rated maximum current of the three-phase four-wire electric energy meter, and determine the current judgment condition based on the rated current and the rated maximum current; The power judgment condition is determined based on the total active power, the total reactive power, the active power monitoring value corresponding to each element, and the power direction of the reactive power monitoring value.

3. The method according to claim 1, characterized in that The performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition to obtain the fault analysis results corresponding to each sampling moment includes: Determining a phase voltage judgment threshold based on the rated voltage of the three-phase four-wire electric energy meter; Compare the voltage monitoring value corresponding to each component at each sampling moment with the phase voltage judgment threshold to obtain a voltage comparison result corresponding to each component; The situation in which the voltage monitoring value corresponding to each element in the voltage comparison result is greater than or equal to the phase voltage judgment threshold is determined as satisfying the voltage judgment condition.

4. The method according to claim 1, characterized in that The performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition to obtain the fault analysis results corresponding to each sampling moment also includes: Determine a phase current judgment interval based on the rated current and the rated maximum current of the three-phase four-wire electric energy meter; the phase current judgment interval includes a first phase current judgment interval and a second phase current judgment interval; Comparing the current monitoring value corresponding to each component at each sampling moment with the first phase current judgment interval or the second phase current judgment interval in the phase current judgment interval respectively, to obtain a current comparison result corresponding to each component; If the current monitoring values ​​corresponding to each element in the current comparison result are all within the first phase current judgment interval, the maximum current value and the minimum current value in the current monitoring values ​​are obtained, and the current imbalance is calculated based on the maximum current value and the minimum current value; if the current monitoring values ​​corresponding to each element in the current comparison result are all within the second phase current judgment interval, the current difference between the maximum current value and the minimum current value in the current monitoring values ​​is calculated; The case where the current imbalance degree is less than a current imbalance threshold is determined as satisfying the current judgment condition; or the case where the current difference is less than a current difference threshold is determined as satisfying the current judgment condition.

5. The method according to claim 1, characterized in that The performing fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition to obtain the fault analysis results corresponding to each sampling moment also includes: Obtain the total active power and total reactive power corresponding to each sampling moment, and the power direction of the active power monitoring value and reactive power monitoring value corresponding to each element at each sampling moment; Comparing the power direction of the total active power with the active power monitoring value corresponding to each element to obtain an active power direction comparison result; and comparing the power direction of the total reactive power with the reactive power monitoring value corresponding to each element to obtain a reactive power direction comparison result; The situation in which the active power direction comparison result is the same direction and the reactive power direction comparison result is the same direction is determined as satisfying the power judgment condition.

6. The method according to claim 1, characterized in that The determining the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result includes: Counting the number of fault sampling moments in the fault analysis result that do not meet the power judgment condition, provided that the voltage judgment condition and the current judgment condition are met; Calculate the ratio of the number of fault sampling moments to the total sampling moments to obtain the ratio of data that does not meet the fault judgment condition; When the data ratio exceeds a fault ratio threshold, it is determined that a fault exists in the three-phase four-wire electric energy meter, and a fault warning signal is triggered.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Obtaining on-site maintenance data of three-phase four-wire electric energy meters that are determined to be faulty; The accuracy of fault identification is statistically calculated based on the on-site maintenance data, and the data ratio of the fault judgment condition is adjusted based on the accuracy.

8. A fault identification device for a three-phase four-wire electric energy meter, characterized in that: include: A data acquisition module, used to acquire monitoring data of the three-phase four-wire electric energy meter, wherein the monitoring data includes the total active power and the total reactive power corresponding to each sampling moment, and the voltage monitoring value, the current monitoring value, the active power monitoring value and the reactive power monitoring value corresponding to each component at each sampling moment; A condition acquisition module, used to acquire preset fault judgment conditions, wherein the fault judgment conditions include voltage judgment conditions, current judgment conditions and power judgment conditions; A fault analysis module, used to perform fault analysis on the monitoring data at each sampling moment based on the voltage judgment condition, the current judgment condition and the power judgment condition, and obtain a fault analysis result corresponding to each sampling moment; A fault determination module is used to determine the fault condition of the three-phase four-wire electric energy meter based on the proportion of data that does not meet the fault judgment condition in the fault analysis result.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction executes an operation corresponding to the fault identification method for a three-phase four-wire electric energy meter according to any one of claims 1 to 7.

10. A device comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the fault identification method for a three-phase four-wire electric energy meter as described in any one of claims 1-7.

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