An anti-stealing electricity intelligent diagnosis and analysis method, device and power consumption inspection equipment

Abstract

The present invention discloses an anti-stealing electricity intelligent diagnosis and analysis method, device and power consumption inspection equipment, including: obtaining three-phase measured voltages of a metering circuit and three-phase measured currents at different positions; calculating three-phase voltage characteristic values and three-phase measured current characteristic values at different positions respectively according to the three-phase measured voltages and the three-phase measured currents at different positions; respectively performing combined normalization processing on the three-phase voltage characteristic values and the three-phase measured current characteristic values at different positions to obtain a voltage anomaly factor and current anomaly factors at different positions; calculating an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determining an anomaly result of the metering circuit according to the anomaly distance value. The present invention can automatically analyze based on on-site voltage and current data, quickly analyze and diagnose the abnormal power consumption position of the on-site metering circuit, and feedback the anomaly result to on-site staff, improving the on-site operation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-stealing electricity intelligent analysis, and more specifically, to an anti-stealing electricity intelligent diagnosis and analysis method, device and power consumption inspection equipment. Background Art

[0002] In recent years, with the development of technology, the problem of electricity stealing has become more and more serious, mainly manifested as high-tech means of electricity stealing, concealment of the electricity stealing process, and large amounts of stolen electricity. In order to cope with the increasing forms of electricity stealing, the power consumption inspection instrument has emerged as the times require. However, the power consumption inspection instrument can only assist on-site staff to measure parameters such as voltage, current, harmonic, and phase at the scene, and on-site personnel still need to analyze the detection data by themselves, resulting in low efficiency of on-site inspection work. Summary of the Invention

[0003] The present invention provides an anti-stealing electricity intelligent diagnosis and analysis method and device to solve the problem of how to efficiently achieve anti-stealing electricity analysis.

[0004] To solve the above problems, according to one aspect of the present invention, an anti-stealing electricity intelligent diagnosis and analysis method is provided. The method includes:

[0005] Obtain the three-phase measured voltages of the metering circuit and the three-phase measured currents at different positions;

[0006] According to the three-phase measured voltages and the three-phase measured currents at different positions, calculate the three-phase voltage characteristic values and the three-phase measured current characteristic values at different positions respectively;

[0007] Perform combined normalization processing on the three-phase voltage characteristic values and the three-phase measured current characteristic values at different positions respectively to obtain a voltage anomaly factor and current anomaly factors at different positions;

[0008] Calculate an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determine the anomaly result of the metering circuit according to the anomaly distance value.

[0009] Preferably, the method calculates the voltage characteristic value of any one phase according to the measured voltage of any one phase by the following method, including:

[0010]

[0011] The method calculates the current characteristic value of any one phase according to the measured current of any one phase by the following method, including:

[0012]

[0013] Wherein, U t is the voltage characteristic value of any one phase; u 1is the measured voltage of any one of the phases; u is the voltage inside the meter of this phase; y u is the preset voltage threshold; I t is the current eigenvalue of any one of the phases; i 1 is the measured current of any one of the phases; i is the current inside the meter of this phase; y i is the preset current threshold.

[0014] Preferably, the method calculates the voltage anomaly factor using the following formula, including:

[0015] Q u = U ta × α 3 + U tb × α 2 + U tc × α,

[0016] The method calculates the current anomaly factor at any position using the following method, including:

[0017] Q i = I ta × α 3 + I tb × α 2 + I tc × α,

[0018] where Q u is the voltage anomaly factor; U ta , U tb and U tc are the voltage eigenvalues of phase A, phase B, and phase C respectively; Q i is the current anomaly factor; I ta , I tb and I tc are the current eigenvalues of phase A, phase B, and phase C respectively; α is the first preset factor.

[0019] Preferably, calculating the anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions includes:

[0020] T = Q i1 × β 4 + Q i2 × β 3 + Q i3 × β 2 + Q u × β,

[0021] where Q i1 is the current anomaly factor corresponding to the primary side current; Q i2 is the current anomaly factor corresponding to the current before the meter; Q i3 is the current anomaly factor corresponding to the current inside the meter; Qu is the voltage anomaly factor; β is the second preset factor; when the metering circuit belongs to the single-phase meter application scenario, the current anomaly factor corresponding to the primary-side current is 0.

[0022] Preferably, determining the anomaly result of the metering circuit according to the anomaly distance value includes:

[0023] When the anomaly distance is within the first preset range, determine that the anomaly result is voltage anomaly;

[0024] When the anomaly distance is within the second preset range, determine that the anomaly result is in-table current anomaly;

[0025] When the anomaly distance is within the third preset range, determine that the anomaly result is pre-table current anomaly;

[0026] When the anomaly distance is within the fourth preset range, determine that the anomaly result is primary-side current anomaly.

[0027] Preferably, the method further includes:

[0028] Performing data interaction with an external device using a Serial Peripheral Interface (SPI) communication interface;

[0029] Reading function upgrade data, historical measurement data, and historical anomaly result data using a Universal Asynchronous Receiver / Transmitter (UART) communication interface;

[0030] Providing power support using a power supply unit.

[0031] According to another aspect of the present invention, there is provided an anti-stealing electricity intelligent diagnosis and analysis device, the device includes:

[0032] A voltage and current data acquisition unit, configured to acquire three-phase measured voltages and three-phase measured currents at different positions of a metering circuit;

[0033] An eigenvalue calculation unit, configured to calculate three-phase voltage eigenvalues and three-phase measured current eigenvalues at different positions respectively according to the three-phase measured voltages and the three-phase measured currents at different positions;

[0034] An anomaly factor calculation unit, configured to perform combined normalization processing on the three-phase voltage eigenvalues and the three-phase measured current eigenvalues at different positions respectively to obtain a voltage anomaly factor and current anomaly factors at different positions;

[0035] An anomaly result determination unit, configured to calculate an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determine the anomaly result of the metering circuit according to the anomaly distance value.

[0036] Preferably, the eigenvalue calculation unit calculates the voltage eigenvalue of any phase according to the measured voltage of any phase in the following manner, including:

[0037]

[0038] The device calculates the current eigenvalue of any phase according to the measured current of any phase in the following manner, including:

[0039]

[0040] Wherein, U t is the voltage eigenvalue of any phase; u 1 is the measured voltage of any phase; u is the internal voltage of the meter for this phase; y u is the preset voltage threshold; I t is the current eigenvalue of any phase; i 1 is the measured current of any phase; i is the internal current of the meter for this phase; y i is the preset current threshold.

[0041] Preferably, the abnormal factor calculation unit calculates the voltage abnormal factor using the following formula, including:

[0042] Q u = U ta × α 3 + U tb × α 2 + U tc × α,

[0043] The device calculates the current abnormal factor at any position in the following manner, including:

[0044] Q i = I ta × α 3 + I tb × α 2 + I tc × α,

[0045] Wherein, Q u is the voltage abnormal factor; U ta 、U tb and U tc are the voltage eigenvalues of phase A, phase B, and phase C respectively; Q i is the current abnormal factor; I ta 、I tb and I tc are the current eigenvalues of phase A, phase B, and phase C respectively; α is the first preset factor.

[0046] Preferably, the abnormal result determination unit calculates an abnormal distance value according to the voltage abnormal factor and the current abnormal factors at different positions, including:

[0047] T = Q i1 ×β 4 +Q i2 ×β 3 +Q i3 ×β 2 +Q u ×β,

[0048] wherein, Q i1 is the current abnormal factor corresponding to the primary side current; Q i2 is the current abnormal factor corresponding to the current before the meter; Q i3 is the current abnormal factor corresponding to the current inside the meter; Q u is the voltage abnormal factor; β is the second preset factor; when the metering circuit belongs to the single-phase meter application scenario, the current abnormal factor corresponding to the primary side current is 0.

[0049] Preferably, the abnormal result determination unit determines the abnormal result of the metering circuit according to the abnormal distance value, including:

[0050] When the abnormal distance is within the first preset range, it is determined that the abnormal result is a voltage abnormality;

[0051] When the abnormal distance is within the second preset range, it is determined that the abnormal result is an in-meter current abnormality;

[0052] When the abnormal distance is within the third preset range, it is determined that the abnormal result is a pre-meter current abnormality;

[0053] When the abnormal distance is within the fourth preset range, it is determined that the abnormal result is a primary side current abnormality.

[0054] Preferably, the device further includes:

[0055] A communication unit, which is used to perform data interaction with an external device by using a Serial Peripheral Interface (SPI) communication interface; and read function upgrade data, historical measurement data, and historical abnormal result data by using a Universal Asynchronous Receiver / Transmitter (UART) communication interface;

[0056] A power supply unit, which is used to provide power support for the device.

[0057] According to another aspect of the present invention, there is provided an electricity inspection device, which includes: a device host and the anti-stealing electricity intelligent diagnosis and analysis device as described above;

[0058] Among them, the device host is used to send the three-phase measured voltage of the metering circuit and the three-phase measured current at different positions to the anti-stealing electricity intelligent diagnosis and analysis device; and is used to receive the abnormal result.

[0059] The present invention provides an anti-stealing electricity intelligent diagnosis and analysis method and device, which can provide a diagnosis and analysis method applicable to a variety of on-site application scenarios for on-site power consumption inspection equipment, can automatically analyze according to the on-site voltage and current data, quickly analyze and diagnose the abnormal power consumption position of the on-site metering circuit, and feedback the abnormal result to the on-site staff, improving the on-site operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] By referring to the following drawings, the exemplary embodiments of the present invention can be more fully understood:

[0061] Figure 1 FIG. 12 is a flowchart of an anti-stealing electricity intelligent diagnosis and analysis method 100 according to an embodiment of the present invention;

[0062] Figure 2 FIG. 16 is an overall functional block diagram for implementing anti-stealing electricity intelligent diagnosis and analysis according to an embodiment of the present invention;

[0063] Figure 3 FIG. 20 is a schematic diagram of the pins of an intelligent diagnosis and analysis device according to an embodiment of the present invention;

[0064] Figure 4 FIG. 24 is a schematic diagram of the interaction between the host of an electricity consumption inspection instrument and an intelligent diagnosis and analysis device according to an embodiment of the present invention;

[0065] Figure 5 FIG. 28 is a schematic structural diagram of an anti-stealing electricity intelligent diagnosis and analysis device 500 according to an embodiment of the present invention;

[0066] Figure 6 FIG. 32 is a schematic structural diagram of an electricity consumption inspection device 600 according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0067] Now, the exemplary embodiments of the present invention will be introduced with reference to the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the drawings are not limitations on the present invention. In the drawings, the same unit / element is denoted by the same reference numeral.

[0068] Unless otherwise specified, the terms used herein (including technical terms) have the ordinary meaning understood by those skilled in the relevant technical field. Additionally, it can be understood that terms defined in commonly used dictionaries should be construed to have a meaning consistent with the context of their relevant fields, and should not be construed as having an idealized or overly formal meaning.

[0069] Figure 1 It is a flowchart of the anti-stealing electricity intelligent diagnosis and analysis method 100 according to an embodiment of the present invention. As Figure 1 shown, the anti-stealing electricity intelligent diagnosis and analysis method provided by the embodiment of the present invention can provide a diagnosis and analysis method applicable to a variety of on-site application scenarios for on-site electricity inspection equipment, can automatically analyze based on the on-site voltage and current data, quickly analyze and diagnose the abnormal electricity consumption position of the on-site metering circuit, and feedback the abnormal results to the on-site staff, improving the on-site operation efficiency. The anti-stealing electricity intelligent diagnosis and analysis method 100 provided by the embodiment of the present invention starts from step 101, and at step 101, the three-phase measured voltages of the metering circuit and the three-phase measured currents at different positions are obtained.

[0070] In the present invention, the intelligent diagnosis algorithm analyzes using the received on-site inspection data, calculates the abnormal electricity consumption position, thereby determining the cause of on-site abnormal electricity consumption, and transmits the analysis result to an external device for display.

[0071] The intelligent diagnosis method of the present invention can analyze and diagnose five application scenarios: high supply and high metering, high supply and low metering, multiplier meter, direct-through meter, and single-phase meter. In practice, the intelligent diagnosis and analysis module receives the voltage and current measurement data and the application scenario type sent by the external device. After determining the on-site application scenario type, the electricity consumption circuit is divided into different data groups according to the scenario type, and characteristic values are calculated according to the type. Among them, the data groups corresponding to each application scenario are shown in Table 1.

[0072] Table 1 Data group table corresponding to different application scenarios

[0073]

[0074]

[0075] At step 102, according to the three-phase measured voltages and the three-phase measured currents at different positions, the three-phase voltage characteristic values and the three-phase measured current characteristic values at different positions are respectively calculated.

[0076] Preferably, the method calculates the voltage characteristic value of any one phase according to the following method, including:

[0077]

[0078] The method calculates the current eigenvalue of any phase based on the measured current of that phase in the following manner, including:

[0079]

[0080] Wherein, U t is the voltage eigenvalue of any phase; u 1 is the measured voltage of any phase; u is the internal voltage of the meter for that phase; y u is the preset voltage threshold; I t is the current eigenvalue of any phase; i 1 is the measured current of any phase; i is the internal current of the meter for that phase; y i is the preset current threshold.

[0081] In step 103, the three-phase voltage eigenvalues and the three-phase measured current eigenvalues at different positions are respectively subjected to combined normalization processing to obtain a voltage anomaly factor and current anomaly factors at different positions.

[0082] Preferably, the method calculates the voltage anomaly factor using the following formula, including:

[0083] Q u =U ta ×α 3 +U tb ×α 2 +U tc ×α,

[0084] The method calculates the current anomaly factor at any position in the following manner, including:

[0085] Q i =I ta ×α 3 +I tb ×α 2 +I tc ×α,

[0086] Wherein, Q u is the voltage anomaly factor; U ta , U tb and U tc are the voltage eigenvalues of phase A, phase B, and phase C respectively; Q i is the current anomaly factor; I ta , I tb and I tc are the current eigenvalues of phase A, phase B, and phase C respectively; α is the first preset factor.

[0087] In the present invention, after calculating the voltage characteristic values and current characteristic values, it is necessary to perform normalization processing on the three-phase data of each voltage and current, and merge and normalize the A, B, and C phase voltage or current characteristic values of each data group to generate an anomaly factor.

[0088] In the present invention, the first preset factor α can be set to 2. Then, for any voltage and current data, the anomaly factor is calculated using the following formula, including:

[0089] Q u = U ta × 2 3 + U tb × 2 2 + U tc × 2,

[0090] Q i = I ta × 2 3 + I tb × 2 2 + I tc × 2,

[0091] where, U ta is the A-phase voltage characteristic value; U tb is the B-phase voltage characteristic value; U tc is the C-phase voltage characteristic value; I ta is the A-phase current characteristic value; I tb is the B-phase current characteristic value; I tc is the C-phase current characteristic value.

[0092] In step 104, an anomaly distance value is calculated based on the voltage anomaly factor and current anomaly factors at different positions, and an anomaly result of the metering circuit is determined based on the anomaly distance value.

[0093] Preferably, calculating the anomaly distance value based on the voltage anomaly factor and current anomaly factors at different positions includes:

[0094] T = Q i1 × β 4 + Q i2 × β 3 + Q i3 × β 2 + Q u × β'

[0095] where, Q i1 is the current anomaly factor corresponding to the primary-side current; Q i2 is the current anomaly factor corresponding to the pre-metering current; Q i3 is the current anomaly factor corresponding to the in-metering current; Q uis the voltage anomaly factor; β is the second preset factor; when the metering circuit belongs to the single-phase meter application scenario, the current anomaly factor corresponding to the primary side current is 0.

[0096] Preferably, determining the anomaly result of the metering circuit according to the anomaly distance value includes:

[0097] When the anomaly distance is within the first preset range, determine that the anomaly result is a voltage anomaly;

[0098] When the anomaly distance is within the second preset range, determine that the anomaly result is an in-table current anomaly;

[0099] When the anomaly distance is within the third preset range, determine that the anomaly result is a pre-table current anomaly;

[0100] When the anomaly distance is within the fourth preset range, determine that the anomaly result is a primary side current anomaly.

[0101] In the present invention, after calculating the anomaly factor, the final anomaly distance value T is calculated according to the anomaly factor of the corresponding data group in Table 1, and the anomaly location of the abnormal power consumption of the metering circuit can be determined according to the preset range. Among them, the second preset factor β can be 16. At this time, it can be determined that the first preset range is (0, 16], the second preset range is (16, 256], the third preset range is (256, 4096], and the fourth preset range is (4096, 65536].

[0102] For example, for the high-voltage supply and low-voltage metering application scenario, the calculation formula for the anomaly distance value is:

[0103] T = Q i1 × 16 4 + Q i2 × 16 3 + Q i3 × 16 2 + Q u × 16,

[0104] where, Q i1 is the anomaly factor corresponding to the primary side current data group; Q i2 is the anomaly factor corresponding to the pre-table current data group; Q i3 is the anomaly factor corresponding to the in-table current data group; Q u is the anomaly factor corresponding to the voltage data group. At this time, the anomaly occurrence location can be determined according to Table 2.

[0105] Table 2 Anomaly Location Judgment Table

[0106] T Position 0<T<16 Abnormal voltage 16<T<256 Abnormal current inside the meter 256<T<4096 Abnormal current before the meter 4096<T<65536 Abnormal primary current

[0107] Preferably, the method further includes:

[0108] Use the serial peripheral SPI communication interface to interact with external devices for data exchange;

[0109] Use the universal asynchronous receiver-transmitter UART communication interface to read function upgrade data, historical measurement data, and historical abnormal result data;

[0110] Use the power supply unit to provide power support.

[0111] Combined with Figure 2 As shown, the entire intelligent diagnostic analysis module (device) of the present invention includes: a data storage unit, a main processor, a communication unit, and a power supply unit. The intelligent diagnostic analysis module can communicate with on-site power consumption inspection equipment, obtain on-site inspection data, and send diagnostic results to the on-site power consumption inspection equipment. Among them, the communication unit includes: an SPI communication interface for data interaction with external devices, mainly receiving data from external devices and sending diagnostic results to external devices; the UART communication interface is mainly used for module function upgrade and historical data reading. The power supply unit mainly provides power voltage for the module through the power interface, and the module power supply voltage is 3.3V.

[0112] The pins of the intelligent diagnostic analysis device are as Figure 3 shown, and the meanings of each pin are shown in Table 3.

[0113] Table 3 Pin Description

[0114]

[0115]

[0116] Figure 4 is a schematic diagram of the interaction between the host of the power consumption inspection instrument and the intelligent diagnostic analysis device according to an embodiment of the present invention. As Figure 4 shown, the interaction process between the host of the power consumption inspection instrument and the intelligent diagnostic analysis device (module) includes: the host of the power consumption inspection instrument sends data to the intelligent diagnostic module; the intelligent diagnostic module sends a query application scenario command to the host of the power consumption inspection instrument; the host of the power consumption inspection instrument replies with the application scenario type; the diagnostic analysis device calls the corresponding calculation rules according to the application scenario type for calculation and analysis, determines the abnormal result, and sends the abnormal result to the host of the power consumption inspection instrument for display.

[0117] The method of the present invention can solve the problems of low efficiency of previous on-site anti-stealing electricity work, backward on-site inspection equipment, and inability to detect on-site electricity stealing in a timely manner. By embedding the method of the present invention in the on-site power consumption inspection instrument, the on-site power consumption inspection instrument detects relevant on-site data, then transmits the data to the intelligent diagnostic analysis module for automatic analysis and calculation, pushes the diagnostic result, and feeds back the result to on-site staff, improving the efficiency of on-site inspection work.

[0118] Figure 5 This is a schematic structural diagram of the anti - electricity - theft intelligent diagnosis and analysis device 500 according to an embodiment of the present invention. As Figure 5 shown, the anti - electricity - theft intelligent diagnosis and analysis device 500 provided by the embodiment of the present invention includes: a voltage - current data acquisition unit 501, a characteristic value calculation unit 502, an abnormal factor calculation unit 503, and an abnormal result determination unit 504.

[0119] Preferably, the voltage - current data acquisition unit 501 is configured to acquire the three - phase measured voltages of the metering circuit and the three - phase measured currents at different positions.

[0120] Preferably, the characteristic value calculation unit 502 is configured to calculate the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively according to the three - phase measured voltages and the three - phase measured currents at different positions.

[0121] Preferably, the characteristic value calculation unit 502 calculates the voltage characteristic value of any one phase according to the measured voltage of any one phase by using the following method, including:

[0122]

[0123] The device calculates the current characteristic value of any one phase according to the measured current of any one phase by using the following method, including:

[0124]

[0125] Wherein, U t is the voltage characteristic value of any one phase; u 1 is the measured voltage of any one phase; u is the in - meter voltage of this one phase; y u is a preset voltage threshold; I t is the current characteristic value of any one phase; i 1 is the measured current of any one phase; i is the in - meter current of any one phase; y i is a preset current threshold.

[0126] Preferably, the abnormal factor calculation unit 503 is configured to perform combined normalization processing on the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively to obtain a voltage abnormal factor and current abnormal factors at different positions.

[0127] Preferably, the abnormal factor calculation unit 503 calculates the voltage abnormal factor by using the following formula, including:

[0128] Q u =U ta ×α 3 +Utb ×α 2 +U tc ×α,

[0129] The device calculates the current anomaly factor at any position in the following manner, including:

[0130] Q i =I ta ×α 3 +I tb ×α 2 +I tc ×α,

[0131] where Q u is the voltage anomaly factor; U ta , U tb and U tc are the voltage characteristic values of phase A, phase B, and phase C respectively; Q i is the current anomaly factor; I ta , I tb and I tc are the current characteristic values of phase A, phase B, and phase C respectively; α is the first preset factor.

[0132] Preferably, the anomaly result determination unit 504 is configured to calculate an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determine the anomaly result of the metering loop according to the anomaly distance value.

[0133] Preferably, the anomaly result determination unit 504 calculates the anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, including:

[0134] T = Q i1 ×β 4 +Q i2 ×β 3 +Q i3 ×β 2 +Q u ×β,

[0135] where Q i1 is the current anomaly factor corresponding to the primary side current; Q i2 is the current anomaly factor corresponding to the current before the meter; Q i3 is the current anomaly factor corresponding to the current inside the meter; Q u is the voltage anomaly factor; β is the second preset factor; when the metering loop belongs to the single-phase meter application scenario, the current anomaly factor corresponding to the primary side current is 0.

[0136] Preferably, the anomaly result determination unit 504 determines the anomaly result of the metering loop according to the anomaly distance value, including:

[0137] When the abnormal distance is within the first preset range, it is determined that the abnormal result is voltage abnormality;

[0138] When the abnormal distance is within the second preset range, it is determined that the abnormal result is in-table current abnormality;

[0139] When the abnormal distance is within the third preset range, it is determined that the abnormal result is pre-table current abnormality;

[0140] When the abnormal distance is within the fourth preset range, it is determined that the abnormal result is primary-side current abnormality.

[0141] Preferably, the device further includes:

[0142] A communication unit, configured to perform data interaction with an external device by using a Serial Peripheral Interface (SPI) communication interface; read function upgrade data, historical measurement data, and historical abnormal result data by using a Universal Asynchronous Receiver / Transmitter (UART) communication interface;

[0143] A power supply unit, configured to provide power support for the device.

[0144] The anti-stealing electricity intelligent diagnosis and analysis device 500 of the embodiment of the present invention corresponds to the anti-stealing electricity intelligent diagnosis and analysis method 100 of another embodiment of the present invention, and will not be elaborated herein.

[0145] Figure 6 It is a schematic structural diagram of an electricity consumption inspection device 600 according to an embodiment of the present invention. As Figure 6 shown, the present invention provides an electricity consumption inspection device 600, including: a device host 601 and an anti-stealing electricity intelligent diagnosis and analysis device 602.

[0146] Preferably, the device host 601 is configured to send three-phase measured voltages of a metering circuit and three-phase measured currents at different positions to the anti-stealing electricity intelligent diagnosis and analysis device 602; and receive the abnormal result.

[0147] Among them, the anti-stealing electricity intelligent diagnosis and analysis device 602 is the same as the above-mentioned anti-stealing electricity intelligent diagnosis and analysis device 100, and will not be elaborated herein.

[0148] The electricity consumption inspection device of the present invention may be an electricity consumption inspection instrument, and its working principle is as Figure 4 shown, and will not be elaborated herein.

[0149] The present invention has been described by referring to a few embodiments. However, as is well known to those skilled in the art, as defined by the appended patent claims, other embodiments equivalent to those disclosed above of the present invention equally fall within the scope of the present invention.

[0150] Generally, all terms used in the claims are construed according to their ordinary meaning in the technical field, unless otherwise expressly defined therein. All references to "a / the [device, component, etc.]" are to be construed broadly as at least one instance of the device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed, unless expressly stated.

[0151] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

[0152] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general purpose computers, special purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0153] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0155] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific implementation manners of the present invention, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. An anti - electricity - stealing intelligent diagnosis and analysis method, characterized in that, the method includes: Obtain the three - phase measured voltages of the metering circuit and the three - phase measured currents at different positions; According to the three - phase measured voltages and the three - phase measured currents at different positions, calculate the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively; Perform combined normalization processing on the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively to obtain a voltage anomaly factor and current anomaly factors at different positions; Calculate an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determine the anomaly result of the metering circuit according to the anomaly distance value; Among them, the method calculates the voltage anomaly factor using the following formula, including: Q u = U ta × α 3 + U tb × α 2 + U tc × α, The method calculates the current anomaly factor at any position using the following method, including: Q i = I ta × α 3 + I tb × α 2 + I tc × α, Among them, Q u is the voltage anomaly factor; U ta , U tb and U tc are the voltage characteristic values of phase A, phase B, and phase C respectively; Q i is the current anomaly factor; I ta , I tb and I tc are the current characteristic values of phase A, phase B, and phase C respectively; α is the first preset factor; Among them, calculating the anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions includes: T = Q i1 × β 4 + Q i2 × β 3 + Q i3 × β 2 + Q u × β, Among them, Q i1 is the current anomaly factor corresponding to the primary-side current; Q i2 is the current anomaly factor corresponding to the pre-meter current; Q i3 is the current anomaly factor corresponding to the in-meter current; Q u is the voltage anomaly factor; β is the second preset factor; when the metering circuit belongs to the single-phase meter application scenario, the current anomaly factor corresponding to the primary-side current is 0; Among them, determining the anomaly result of the metering circuit according to the anomaly distance value includes: When the anomaly distance is within the first preset range, determine that the anomaly result is a voltage anomaly; When the anomaly distance is within the second preset range, determine that the anomaly result is an in - meter current anomaly; When the anomaly distance is within the third preset range, determine that the anomaly result is a pre - meter current anomaly; When the anomaly distance is within the fourth preset range, determine that the anomaly result is a primary - side current anomaly.

2. The method according to claim 1, characterized in that, the method calculates the voltage characteristic value of any one phase according to the measured voltage of any one phase using the following method, including: the method calculates the current characteristic value of any one phase according to the measured current of any one phase using the following method, including: Among them, U t is the voltage eigenvalue of any one of the phases; u 1 is the measured voltage of any one of the phases; u is the internal voltage of the meter for this one phase; y u is the preset voltage threshold; I t is the current eigenvalue of any one of the phases; i 1 is the measured current of any one of the phases; i is the internal current of the meter for this one phase; y i is the preset current threshold.

3. The method according to claim 1, characterized in that, the method further includes: Perform data interaction with an external device using a Serial Peripheral Interface (SPI) communication interface; Read function upgrade data, historical measurement data, and historical anomaly result data using a Universal Asynchronous Receiver - Transmitter (UART) communication interface; Provide power support using a power supply unit.

4. An anti - electricity - stealing intelligent diagnosis and analysis device, characterized in that, the device includes: A voltage - current data acquisition unit for obtaining the three - phase measured voltages of the metering circuit and the three - phase measured currents at different positions; A characteristic value calculation unit for calculating the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively according to the three - phase measured voltages and the three - phase measured currents at different positions; An anomaly factor calculation unit for performing combined normalization processing on the three - phase voltage characteristic values and the three - phase measured current characteristic values at different positions respectively to obtain a voltage anomaly factor and current anomaly factors at different positions; An anomaly result determination unit for calculating an anomaly distance value according to the voltage anomaly factor and the current anomaly factors at different positions, and determining the anomaly result of the metering circuit according to the anomaly distance value; Among them, the anomaly factor calculation unit calculates the voltage anomaly factor using the following formula, including: Q u = U ta × α 3 + U tb × α 2 + U tc × α, The device calculates the current anomaly factor at any position using the following method, including: Q i = I ta × α 3 + I tb × α 2 + I tc × α, Among them, Q u is the voltage anomaly factor; U ta , U tb and U tc are the voltage characteristic values of phase A, phase B, and phase C respectively; Q i is the current anomaly factor; I ta , I tb and I tc are the current characteristic values of phase A, phase B, and phase C respectively; α is the first preset factor; Among them, the abnormal result determination unit calculates an abnormal distance value according to the voltage abnormal factor and the current abnormal factors at different positions, including: T = Q i1 × β 4 + Q i2 × β 3 + Q i3 × β 2 + Q u × β, Among them, Q i1 is the current anomaly factor corresponding to the primary side current; Q i2 is the current anomaly factor corresponding to the current before the meter; Q i3 is the current anomaly factor corresponding to the current inside the meter; Q u is the voltage anomaly factor; β is the second preset factor; when the metering circuit belongs to the single-phase meter application scenario, the current anomaly factor corresponding to the primary side current is 0; Among them, the abnormal result determination unit determines the abnormal result of the metering loop according to the abnormal distance value, including: When the abnormal distance is within the first preset range, it is determined that the abnormal result is a voltage abnormality; When the abnormal distance is within the second preset range, it is determined that the abnormal result is an in-meter current abnormality; When the abnormal distance is within the third preset range, it is determined that the abnormal result is a pre-meter current abnormality; When the abnormal distance is within the fourth preset range, it is determined that the abnormal result is a primary-side current abnormality.

5. The device according to claim 4, wherein, the eigenvalue calculation unit calculates the voltage eigenvalue of any one phase according to the measured voltage of any one phase in the following manner, including: The device calculates the current eigenvalue of any one phase according to the measured current of any one phase in the following manner, including: Among them, U t is the voltage eigenvalue of any one of the phases; u 1 is the measured voltage of any one of the phases; u is the internal voltage of the meter for this one phase; y u is the preset voltage threshold; I t is the current eigenvalue of any one of the phases; i 1 is the measured current of any one of the phases; i is the internal current of the meter for this one phase; y i is the preset current threshold.

6. The device according to claim 4, wherein, the device further includes: a communication unit, configured to perform data interaction with an external device by using a Serial Peripheral Interface (SPI) communication interface; and read function upgrade data, historical measurement data, and historical abnormal result data by using a Universal Asynchronous Receiver / Transmitter (UART) communication interface; a power supply unit, configured to provide power support for the device.

7. An electricity inspection device, wherein, the device includes: a device host and an anti-stealing electricity intelligent diagnosis and analysis device according to any one of claims 4-6; Among them, the device host is configured to send the three-phase measured voltages of the metering loop and the three-phase measured currents at different positions to the anti-stealing electricity intelligent diagnosis and analysis device; and receive the abnormal result.

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