Meter wiring abnormal data transmission system and method based on line checking instrument

Abstract

The invention discloses a meter wiring abnormal data transmission system and method based on a line checking instrument, and relates to the technical field of virtual signals, and the method comprises the steps: collecting a discrete voltage instantaneous value sequence in a power grid through the line checking instrument, and calculating the voltage instantaneous value sequence to obtain the real-time phase and frequency of the voltage of the power grid; setting a virtual load, and calculating a target phase difference of a current signal of the virtual load relative to the power grid voltage by using the virtual load parameter; forming a virtual load by using the three-phase voltage signal and the three-phase current signal; displaying different key data measurement values of the virtual load by using an electric energy meter; calculating a virtual load key data theoretical value according to the virtual load parameters, and calculating an error between the key data theoretical value and a measured value; historical meter wiring abnormal records are extracted, abnormal record key data and abnormal types are extracted to construct an abnormal diagnosis model, and the abnormal diagnosis model is utilized to judge errors; and all data and judgment results in the working process of the epipolar instrument are integrated, and a detection report is generated and uploaded.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual signal, in particular to a meter wiring abnormal data transmission system and method based on a kernel line instrument. BACKGROUND

[0002] The electric energy metering device is the core equipment of the power system, and the accuracy of its wiring directly affects the electric energy measurement and electricity settlement. However, the electric energy metering device wiring is complex, and wiring errors are common. The traditional wiring inspection method has many drawbacks, such as high safety risk of live working, tedious operation, low efficiency and accuracy of manual judgment, etc. For example, the existing technology often uses a field power inspection instrument to collect voltage, current and other data, and then draws a phase diagram and judges the error. This process not only has a direct operation of high voltage, which is dangerous, but also has complex wiring, and can only complete part of the work, and a large amount of calculation and analysis still needs to be completed manually.

[0003] At the same time, with the wide application of smart electric energy meters, higher requirements are put forward for the detection and diagnosis of their wiring abnormalities. The traditional method of relying on on-site inspection and manual analysis of electric parameters cannot accurately trace the time when the wiring abnormality occurs, and the calculated supplementary electric quantity is not accurate enough, and it is not conducive to large-scale inspection and risk prevention in advance. In addition, the number of three-phase smart meters is large, and the application range is wide. The traditional method of checking based on line loss rate abnormality or electric quantity imbalance has the problems of inaccurate positioning, low efficiency, time-consuming and laborious, etc.

[0004] In recent years, in order to solve the problem of meter wiring error checking difficulty, kernel line instrument equipment has appeared for detecting whether the wiring is abnormal, but in the initial stage of user power supply, the load is zero or very low, which leads to the fact that the traditional method cannot verify the metering accuracy, and the standard signal of the kernel line instrument itself has a small frequency or phase drift compared with the actual signal of the power grid, thereby introducing comparison error and affecting the judgment accuracy. SUMMARY

[0005] The purpose of the present application is to provide a meter wiring abnormal data transmission system and method based on a kernel line instrument to solve the problems in the prior art.

[0006] To achieve the above purpose, the present application provides the following technical scheme: A meter wiring abnormal data transmission method based on a kernel line instrument, the method comprising the following steps: S100, connecting the kernel line instrument with the meter, the kernel line instrument collecting a discrete voltage instantaneous value sequence in the power grid, and calculating the real-time phase and frequency of the power grid voltage from the voltage instantaneous value sequence; Further, the specific steps of calculating the real-time phase and frequency of the power grid voltage from the voltage instantaneous value sequence are: S101, connect the standard voltage output terminal of the core line instrument to the bus PT secondary side of the meter, connect the standard current output terminal of the core line instrument to the electric energy metering circuit, connect the communication line of the core line instrument and the meter, initialize the system, and start the microprocessor, signal generator and ADC sampling module in the core line instrument; The connection mode of the core line instrument and the meter is determined, the system is initialized, the core module is started, data transmission interruption and inaccurate data acquisition caused by non-standard connection are reduced, and the stable start of the entire detection process is ensured.

[0007] S102, the core line instrument collects the three-phase voltage of the connected power grid by using the ADC sampling module to obtain a discrete voltage instantaneous value sequence u grid (n), sets the sampling frequency as f s , filters the voltage instantaneous value sequence by using a filter, processes the voltage instantaneous value sequence by using a digital phase-locked loop algorithm, and calculates the real-time phase θ grid (n) and frequency f grid of the power grid voltage; The real-time phase is calculated based on a time sequence, and the formula is: ; In the formula, θ grid (n-1) represents the real-time phase at the previous moment, f center represents the center frequency of the filter, and control (n) represents the filter control quantity output by the filter.

[0008] The discrete voltage instantaneous value sequence is collected by the ADC sampling module, the real-time phase and frequency are calculated by combining the filter and the digital phase-locked loop algorithm, the interference signals in the power grid can be effectively filtered out, the accuracy of the obtained power grid parameters is high, a reliable power grid reference is provided for subsequent virtual load construction, and distortion of subsequent detection results caused by reference parameter deviation is avoided.

[0009] S200, set a virtual load, an operator inputs virtual load parameters in the core line instrument, and calculates a target phase difference of a current signal of the virtual load relative to a power grid voltage by using the virtual load parameters; Further, the specific steps of calculating the target phase difference of the current signal of the virtual load relative to the power grid voltage by using the virtual load parameters are as follows: S201, set a virtual load, an operator inputs virtual load parameters in the core line instrument, the virtual load parameters include a target power factor PF set and a standard current amplitude I rated , and a microprocessor calculates a target phase difference of a current signal of the virtual load relative to a power grid voltage by using the virtual load parameters, and the formula is: ; In the formula, D set represents the target phase difference of the current signal of the virtual load relative to the grid voltage, and arccos represents the inverse cosine function.

[0010] The operator can input the virtual load parameters according to the actual detection needs, without actually building a physical load, so as to adapt to the detection needs of different specifications of the meter, and to avoid the problems of time-consuming, high cost and poor flexibility of building a physical load. The power factor of the virtual load is directly related to the current-voltage phase relationship, so as to ensure that the phase matching degree of the generated virtual load current signal and the grid voltage meets the preset requirements, and to provide a reasonable load reference for accurately detecting the meter connection state.

[0011] S300, the signal generator in the epipolar instrument generates a three-phase voltage signal which is in phase and same frequency with the grid by using the real-time phase of the grid voltage; calculates a three-phase current signal by using the target phase difference, the real-time phase and the virtual load parameters, and constitutes a virtual load by using the three-phase voltage signal and the three-phase current signal; Further, the specific steps of constituting the virtual load by using the three-phase voltage signal and the three-phase current signal are as follows: S301, the signal generator uses the grid real-time phase θ grid (n) to generate a three-phase voltage signal which is in phase and same frequency with the grid, and the three-phase voltage signal is output after being amplified by PWM and filtered by a filter; S302, the signal generator generates a three-phase current signal, calculates the phase of the three-phase current signal according to the grid real-time phase and the target phase difference, and the formula is as follows: ; In the formula, θ current (n) represents the phase of the three-phase current signal; The phase and the pre-set standard current amplitude I rated are used to calculate the instantaneous current value of the three-phase current signal, and the formula is as follows: ; In the formula, I sync (n) represents the instantaneous current value of the three-phase current signal; and the instantaneous current is input to the PWM amplifier and the filter to output the three-phase current signal; S303, the three-phase voltage signal and the three-phase current signal are used to construct a virtual load.

[0012] The signal generator generates a three-phase voltage signal which is in phase and same frequency with the grid based on the grid real-time phase, calculates a three-phase current signal by combining the target phase difference and the standard current amplitude, and the signal is amplified by PWM and filtered, so that the output voltage and current signal waveforms are stable and have low distortion, and the simulated virtual load is highly consistent with the actual grid operating state, and can truly reflect the working condition of the meter in the normal grid environment.

[0013] Without using real power equipment to build load, avoid the energy consumption and equipment wear and tear in the process of physical load operation, at the same time eliminate the safety risks such as circuit overload and heating caused by high-power physical load, reduce the detection cost and safety hidden danger; S400, input the voltage and current signals of the virtual load into the electric energy meter through the metering loop, and display different key data measurement values of the virtual load by using the electric energy meter; Further, the specific steps of displaying different key data measurement values of the virtual load by using the electric energy meter are: S401, the electric energy meter measures the three-phase voltage signal and the three-phase current signal of the virtual load by using the metering loop, and the microprocessor reads the key data of the virtual load measured by the electric energy meter according to the electric energy meter communication protocol, wherein the key data includes total active power P meter , total reactive power Q meter , power factor PF meter , voltage phase angle θ U-meter , current phase angle θ I−meter ; a key data measurement value set {P meter , Q meter , PF meter , θ U-meter , θ I−meter} is constructed by using the read electric energy meter measurement key data.

[0014] S500, calculate the key data theoretical value of the virtual load according to the virtual load parameter, and calculate the error between the key data theoretical value and the measurement value; Further, the specific steps of calculating the error between the key data theoretical value and the measurement value are: S501, calculate the key data theoretical value of the virtual load according to the virtual load parameter, specifically: Calculate the total active power theoretical value, the formula is: , in the formula, U std represents the three-phase voltage signal value of the virtual load, I std represents the three-phase current signal value of the virtual load, and P std represents the total active power theoretical value; Calculate the total reactive power theoretical value, the formula is: , in the formula, Q std represents the total reactive power theoretical value; The power factor theoretical value PF std =PF set , the voltage phase angle theoretical value θ U-std =θ grid , and the current phase angle theoretical value θ I−std =θ grid -D set; S502, construct a virtual load key data theoretical value set {P std , Q std , PF std , θ U-std , θ I−std}, use the key data theoretical value set to subtract the key data measured value set to obtain the key data error set {△P, △Q, △PF, △θ U , △θ I}, △P represents the total active power error, △Q represents the total reactive power error, △PF represents the power factor error, △θ U represents the voltage phase angle error, and △θ I represents the current phase angle error.

[0015] According to the virtual load parameter calculation theoretical value, the theoretical value directly corresponds to the real running parameter of the virtual load, which provides an absolute benchmark for judging whether the meter measurement result is accurate, and avoids the problem that the meter error cannot be quantified due to no clear benchmark. By calculating the total active power, total reactive power, power factor, phase angle and other multi-dimensional errors, the deviation of the meter in different measurement dimensions can be comprehensively reflected, not only the existence of abnormal connection can be judged, but also detailed data support for subsequent positioning of abnormal type can be provided.

[0016] S600, extract historical meter connection abnormal record, extract abnormal record key data and abnormal type to construct an abnormal diagnosis model, and use the abnormal diagnosis model to judge the error; Further, the specific steps of using the abnormal diagnosis model to judge the error are: S601, preset error threshold set {Y_P, Y_Q, Y_PF, Y_θ U , Y_θ I}, Y_P represents the total active power error threshold, Y_Q represents the total reactive power error threshold, Y_PF represents the power factor error threshold, Y_θ U represents the voltage phase angle error threshold, and Y_θ I represents the current phase angle error threshold; Use the error threshold set to judge the calculated error set, when all key data errors in the error set are less than the corresponding error threshold, judge that the meter connection is correct; When there is any error in the key data error set greater than the corresponding error threshold, it is judged that the meter connection is abnormal, and the abnormal diagnosis model is started; S602, extract historical meter connection abnormality records, map each key data error value in the abnormality records to the corresponding connection abnormality type, and sample and train the historical records to obtain an abnormality diagnosis model; when judging meter connection abnormality, the abnormality diagnosis model extracts each key data error value to find the corresponding abnormality type in the mapping association.

[0017] Based on the historical connection abnormality records, a diagnostic model of the mapping relationship between the key data error and the abnormality type is constructed. When an abnormality is detected, the corresponding abnormality type can be quickly matched through the error value, which greatly improves the accuracy and efficiency of abnormality positioning compared with traditional manual investigation.

[0018] S700, integrate all data and judgment results in the working process of the nuclear line instrument to generate a detection report for uploading.

[0019] Further, the specific steps of generating a detection report for uploading are: S701, integrate all data and judgment results in the working process of the nuclear line instrument, wherein the all data in the working process include detection time, operator, location, preset virtual load key data, key data theoretical value and measured value, key data error, and abnormality type; and finally generate a detection report for uploading.

[0020] A meter connection abnormality data transmission system based on a nuclear line instrument, the meter connection abnormality data transmission system comprising a data acquisition module, a power grid detection module, a virtual load module, a key data module, an abnormality judgment and report uploading module; The data acquisition module is configured to extract historical meter connection abnormality records, and map each key data error value in the abnormality records to the corresponding connection abnormality type; The power grid detection module is configured to connect the nuclear line instrument with the meter, and the nuclear line instrument acquires a sequence of discrete voltage instantaneous values in the power grid, and calculates the real-time phase and frequency of the power grid voltage based on the sequence of voltage instantaneous values; The virtual load module is configured to use the real-time phase of the power grid voltage to generate a three-phase voltage signal that is in phase and frequency with the power grid in the signal generator of the nuclear line instrument; use a target phase difference, a real-time phase, and virtual load parameters to calculate and generate a three-phase current signal, and use the three-phase voltage signal and the three-phase current signal to form a virtual load; The key data module is configured to use the electric energy meter to display a key data measured value, calculate a key data theoretical value, and then calculate a key data error; The abnormality judgment is configured to preset a key data error threshold, use the error threshold to judge the key data error, and judge whether the meter connection is abnormal; The report uploading module is configured to integrate all data and judgment results in the working process of the nuclear line instrument to generate a detection report for uploading.

[0021] The key data module includes key data measurement value units, key data theoretical value units, and key data error units; The key data measurement unit is used to input the voltage and current signals of the virtual load into the energy meter through the metering circuit, and to use the energy meter to display different key data measurement values ​​of the virtual load. The key data theoretical value unit is used to calculate the key data theoretical value of virtual load based on virtual load parameters; The key data error unit is used to calculate the error between the theoretical and measured values ​​of key data.

[0022] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention, from power grid parameter acquisition and virtual load construction to error calculation and anomaly diagnosis, uses precise algorithms and standardized operations throughout the entire process to minimize detection errors, ensure the accuracy of judgment on wiring anomalies, and reduce misjudgments and omissions.

[0023] 2. This invention requires no physical load and adapts to different testing scenarios by adjusting virtual load parameters, thereby reducing equipment costs and energy consumption. At the same time, the standardized connection and operation process reduces reliance on operator experience, lowers training costs, and the short testing time improves the efficiency of meter testing. Attached Figure Description

[0024] Fig. 1 This is a module distribution diagram of a meter wiring abnormality data transmission system based on a cross-line meter according to the present invention. Fig. 2 This is a schematic diagram illustrating the steps of a method for transmitting abnormal data from a meter wiring system based on a cross-line meter, according to the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example: Figs. 1-2 As shown, the present invention provides a technical solution. A method for transmitting abnormal data of meter wiring based on a cross-sectional analyzer, the method comprising the following steps: S100. Connect the power grid line analyzer to the meter. The power grid line analyzer collects discrete instantaneous voltage value sequences in the power grid and calculates the real-time phase and frequency of the power grid voltage from the instantaneous voltage value sequences. The specific steps for calculating the real-time phase and frequency of the grid voltage from the voltage instantaneous value sequence are as follows: S101, connect the standard voltage output terminal of the core line instrument to the bus PT secondary side of the meter, connect the standard current output terminal of the core line instrument to the electric energy metering circuit, connect the communication line between the core line instrument and the meter, initialize the system, and start the microprocessor, signal generator and ADC sampling module in the core line instrument; The connection mode of the core line instrument and the meter is determined, and the system is initialized to start the core module, which can reduce the problems of data transmission interruption and inaccurate data collection caused by non-standard connection, and ensure the stable start of the entire detection process.

[0027] S102, the core line instrument uses the ADC sampling module to collect the connected three-phase grid voltage to obtain a discrete voltage instantaneous value sequence u grid (n), sets the sampling frequency to f s , filters the voltage instantaneous value sequence using a filter, processes the voltage instantaneous value sequence using a digital phase-locked loop algorithm, and calculates the real-time phase θ grid (n) and frequency f grid of the grid voltage. The real-time phase is calculated based on the time sequence, and the formula is: ; In the formula, θ grid (n-1) represents the real-time phase at the previous moment, f center represents the center frequency of the filter, and control(n) represents the filter control quantity output by the filter.

[0028] The discrete voltage instantaneous value sequence is collected by the ADC sampling module, and the real-time phase and frequency are calculated by combining the filter and the digital phase-locked loop algorithm, which can effectively filter out the interference signals in the grid and ensure high accuracy of the obtained grid parameters, providing a reliable grid reference for subsequent virtual load construction and avoiding distortion of subsequent detection results due to reference parameter deviation.

[0029] S200, set the virtual load, the operator inputs the virtual load parameter in the core line instrument, and calculates the target phase difference of the current signal of the virtual load relative to the grid voltage using the virtual load parameter; The specific steps for calculating the target phase difference of the current signal of the virtual load relative to the grid voltage using the virtual load parameter are as follows: S201, set the virtual load, the operator inputs the virtual load parameter in the core line instrument, the virtual load parameter includes the target power factor PF set and the standard current amplitude I rated , the microprocessor calculates the target phase difference of the current signal of the virtual load relative to the grid voltage using the virtual load parameter, and the formula is: ; In the formula, D set represents the target phase difference of the current signal of the virtual load relative to the grid voltage, and arccos represents the inverse cosine function.

[0030] The operator can input the virtual load parameters according to the actual detection needs, without actually building a physical load, so as to adapt to the detection needs of different specifications of the meter, and avoid the problems of time-consuming, high cost and poor flexibility of building a physical load. The power factor of the virtual load is directly related to the current-voltage phase relationship, so as to ensure that the phase matching degree between the current signal of the virtual load generated subsequently and the grid voltage meets the preset requirements, and provide a reasonable load reference for accurately detecting the meter connection state.

[0031] S300, the signal generator in the epipolar instrument generates a three-phase voltage signal which is in phase and same frequency with the grid by using the real-time phase of the grid voltage; calculates a three-phase current signal by using the target phase difference, the real-time phase and the virtual load parameters, and constitutes a virtual load by using the three-phase voltage signal and the three-phase current signal. The specific steps of constituting the virtual load by using the three-phase voltage signal and the three-phase current signal are as follows: S301, the signal generator uses the real-time phase θ grid (n) of the grid to generate a three-phase voltage signal which is in phase and same frequency with the grid, and the three-phase voltage signal is output after being amplified by a PWM amplifier and filtered by a filter; S302, the signal generator generates a three-phase current signal, calculates the phase of the three-phase current signal according to the real-time phase of the grid and the target phase difference, and the formula is as follows: ; In the formula, θ current (n) represents the phase of the three-phase current signal; uses the phase and a pre-set standard current amplitude I rated to calculate the instantaneous current value of the three-phase current signal, and the formula is as follows: ; In the formula, I sync (n) represents the instantaneous current value of the three-phase current signal; and the instantaneous current is input to a PWM amplifier and a filter to output a three-phase current signal after being filtered; S303, a virtual load is constituted by using the output three-phase voltage signal and the three-phase current signal.

[0032] The signal generator generates three-phase voltage signals with the same phase and frequency based on the real-time phase of the power grid, and generates three-phase current signals by combining the target phase difference and the standard current amplitude. The voltage and current signals output by the signal generator are stable in waveform and low in distortion, and the simulated virtual load is highly consistent with the actual power grid operating state, which can truly reflect the working condition of the meter in the normal power grid environment.

[0033] The virtual load is constructed without using real power consumption equipment, which avoids energy consumption and equipment wear and tear during the operation of physical load, eliminates the safety risks such as circuit overload and heating that may be caused by high-power physical load, and reduces the detection cost and safety hazards. S400, input the voltage and current signals of the virtual load into the electric energy meter through the metering circuit, and display different key data measurement values of the virtual load by using the electric energy meter; The specific steps of displaying different key data measurement values of the virtual load by using the electric energy meter are as follows: S401, the electric energy meter measures the three-phase voltage signals and three-phase current signals of the virtual load by using the metering circuit, and the microprocessor reads the key data of the virtual load measured by the electric energy meter according to the electric energy meter communication protocol, wherein the key data includes total active power P meter , total reactive power Q meter , power factor PF meter , voltage phase angle θ U-meter , current phase angle θ I−meter ; and a key data measurement value set {P meter , Q meter , PF meter , θ U-meter , θ I−meter} is constructed by using the read key data measurement values of the electric energy meter.

[0034] S500, calculate the key data theoretical value of the virtual load according to the virtual load parameters, and calculate the error between the key data theoretical value and the measurement value; The specific steps of calculating the error between the key data theoretical value and the measurement value are as follows: S501, calculate the key data theoretical value of the virtual load according to the virtual load parameters, specifically: Calculate the total active power theoretical value, the formula is: , wherein U std represents the three-phase voltage signal value of the virtual load, I std represents the three-phase current signal value of the virtual load, and P std represents the total active power theoretical value; Calculate the total reactive power theoretical value, the formula is: , wherein Q std represents the total reactive power theoretical value; Theoretical value of power factor PF std =PF set Theoretical value of voltage phase angle θ U-std =θ grid Theoretical value of current phase angle θ I−std =θ grid -D set ; S502, a set of virtual load key data theoretical values {P std , Q std , PF std , θ U-std , θ I−std} is constructed, and a set of key data errors is obtained by subtracting a set of key data measured values from the set of key data theoretical values, that is, {△P, △Q, △PF, △θ U , △θ I}, △P represents total active power error, △Q represents total reactive power error, △PF represents power factor error, △θ U represents voltage phase angle error, and △θ I represents current phase angle error.

[0035] According to the virtual load parameter calculation theoretical value, the theoretical value directly corresponds to the real running parameter of the virtual load, which provides an absolute benchmark for judging whether the meter measurement result is accurate, and avoids the problem that the meter error cannot be quantified due to no clear benchmark. By calculating the multi-dimensional errors of total active power, total reactive power, power factor, phase angle, etc., the deviation of the meter in different measurement dimensions can be comprehensively reflected, which not only can judge whether there is abnormal connection, but also can provide detailed data support for subsequent positioning of abnormal types.

[0036] S600, extract historical meter connection abnormality records, extract abnormal record key data and abnormal types to construct an abnormal diagnosis model, and use the abnormal diagnosis model to judge the error; The specific steps of judging the error by using the abnormal diagnosis model are as follows: S601, preset a set of error threshold values {Y_P, Y_Q, Y_PF, Y_θ U , Y_θ I}, Y_P represents total active power error threshold, Y_Q represents total reactive power error threshold, Y_PF represents power factor error threshold, Y_θ U represents voltage phase angle error threshold, and Y_θ I represents current phase angle error threshold; The set of error threshold values is used to judge the set of calculated errors, and when all the key data errors in the set of errors are less than the corresponding error threshold values, it is judged that the meter connection is correct; When any error in the set of critical data errors exceeds the corresponding error threshold, the meter wiring is determined to be abnormal, and the abnormality diagnosis model is activated. S602. Extract historical meter wiring anomaly records, extract the error value of each key data in the anomaly records and map it to the corresponding wiring anomaly type, and sample and train the historical records to obtain an anomaly diagnosis model; when a meter wiring anomaly is determined, the anomaly diagnosis model extracts the error value of each key data and finds the corresponding anomaly type in the mapping association.

[0037] Based on historical wiring anomaly records, a diagnostic model is constructed that maps "key data error - anomaly type". When an anomaly is detected, the corresponding anomaly type can be quickly matched through the error value, which greatly improves the accuracy and efficiency of anomaly location compared with traditional manual investigation.

[0038] S700 integrates all data and judgment results from the epipolarizer's operation and generates a test report for uploading.

[0039] The specific steps for generating and uploading the test report are as follows: S701. Integrate all data and judgment results during the operation of the epipolarizer. All data during the operation includes detection time, operator, location, preset virtual load key data, theoretical and measured values ​​of key data, key data errors, and anomaly types; finally, generate and upload a detection report.

[0040] A meter wiring anomaly data transmission system based on a power line meter, comprising a data acquisition module, a power grid detection module, a virtual load module, a key data module, and an anomaly judgment and report uploading module; The data acquisition module is used to extract historical meter wiring abnormality records, and to map and associate each key data error value in the abnormality records with the corresponding wiring abnormality type. The power grid detection module is used to connect the power grid line detector to the meter. The power grid line detector collects discrete instantaneous voltage value sequences in the power grid and calculates the real-time phase and frequency of the power grid voltage from the instantaneous voltage value sequences. The virtual load module is used in the signal generator of the epipolar instrument to generate a three-phase voltage signal that is in phase and frequency with the grid voltage using the real-time phase of the grid voltage; it calculates and generates a three-phase current signal using the target phase difference, real-time phase and virtual load parameters; and it uses the three-phase voltage signal and the three-phase current signal to form a virtual load. The key data module is used to display key data measurement values ​​using an electricity meter, calculate key data theoretical values, and then calculate key data errors. The anomaly detection is used to preset a key data error threshold, and to use the error threshold to determine the key data error and whether the meter wiring is abnormal. The report uploading module is used for integrating all data and judgment results in the working process of the collimator to generate a detection report for uploading.

[0041] The key data module includes a key data measured value unit, a key data theoretical value unit and a key data error unit. The key data measured value unit is used for inputting the voltage and current signals of the virtual load into the electric energy meter through a metering loop, and displaying different key data measured values of the virtual load by using the electric energy meter. The key data theoretical value unit is used for calculating the key data theoretical values of the virtual load according to the virtual load parameters. The key data error unit is used for calculating the error of the key data theoretical values and the measured values.

[0042] Embodiment: Collect the power grid data, set the sampling frequency to 20 kHz, collect the three-phase voltage of the power grid, and obtain the discrete voltage instantaneous value sequence; according to the formula: ; Wherein f center =50Hz, Δt=1 / f s =50μs, control(n) is the filter output filter control quantity, and the average value of control(n) in this detection is 0.02 rad, the real-time phase θ grid (n) (about 0.3 rad after stabilization) and the frequency f grid (50.02 Hz after stabilization) of the power grid voltage are calculated, and are displayed in real time on the collimator display screen; Set the target power factor PF set =0.8, and the standard current amplitude I rated =5A; The target phase difference D set of the current signal of the virtual load relative to the power grid voltage is calculated as D set =arccos(0.8)≈0.6435 rad (about 36.87°); The three-phase voltage signal and the three-phase current signal are calculated by using the formula respectively, and the virtual load is generated.

[0043] It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A method for transmitting meter connection abnormal data based on a core line instrument, characterized in that: The method comprises the following steps: S100, connecting the core line instrument with the meter, the core line instrument collecting a discrete voltage instantaneous value sequence in the power grid, and calculating the voltage instantaneous value sequence to obtain a real-time phase and a frequency of the power grid voltage; S200, setting a virtual load, an operator inputting virtual load parameters in the core line instrument, and calculating a target phase difference of a current signal of the virtual load relative to the power grid voltage by using the virtual load parameters; S300, a signal generator in the core line instrument generating a three-phase voltage signal in phase and frequency with the power grid by using the real-time phase of the power grid voltage, calculating and generating a three-phase current signal by using the target phase difference, the real-time phase and the virtual load parameters, and constructing the virtual load by using the three-phase voltage signal and the three-phase current signal; S400, inputting the voltage and current signals of the virtual load into the electric energy meter through the metering loop, and displaying different key data measurement values of the virtual load by using the electric energy meter; S500, calculating a key data theoretical value of the virtual load according to the virtual load parameters, and calculating an error of the key data theoretical value and the measurement value; S600, extracting historical meter connection abnormality records, extracting key data and an abnormal type of the abnormal records to construct an abnormal diagnosis model, and judging the error by using the abnormal diagnosis model; S700, integrating all data and judgment results in the working process of the core line instrument, generating a detection report and uploading the detection report.

2. The method of claim 1, wherein: The specific steps of calculating the real-time phase and the frequency of the power grid voltage by using the voltage instantaneous value sequence in S100 are as follows: S101, connecting a standard voltage output terminal of the core line instrument to a bus PT secondary side of the meter, connecting a standard current output terminal of the core line instrument to an electric energy metering loop, connecting a communication line of the core line instrument and the meter, initializing the system, and starting a microprocessor, a signal generator and an ADC sampling module in the core line instrument; S102, the goniometer utilizes the ADC sampling module to collect the accessed three-phase voltage of the power grid to obtain a discrete voltage instantaneous value sequence u grid (n), sets the sampling frequency as f s , filters the voltage instantaneous value sequence by using a filter, processes the voltage instantaneous value sequence by using a digital phase-locked loop algorithm, and calculates the real-time phase θ grid (n) and frequency f grid of the power grid voltage. The real-time phase is calculated based on a time sequence, and a formula is as follows: ； In the formula, θ grid (n-1) indicates the real-time phase at the previous time, f center represents the filter center frequency, and control(n) represents the filter output filter control quantity.

3. The method of claim 2, wherein: The specific steps of calculating the target phase difference of the current signal of the virtual load relative to the power grid voltage by using the virtual load parameters in S200 are as follows: S201, setting a virtual load, an operator inputs a virtual load parameter in the nuclear line instrument, the virtual load parameter including a target power factor PF set and a standard current amplitude I rated , the microprocessor calculates a target phase difference of a current signal of the virtual load relative to a power grid voltage by using the virtual load parameter, and the formula is: ； In the formula, D set represents the target phase difference of the current signal of the virtual load with respect to the grid voltage, and arccos represents the inverse cosine function.

4. The method of claim 3, wherein: The specific steps of constructing the virtual load by using the three-phase voltage signal and the three-phase current signal in S300 are as follows: S301, the signal generator uses the real-time phase θ of the power grid grid (n) generating a three-phase voltage signal in phase and frequency with the power grid, and outputting after PWM amplification and filter filtering; S302, the signal generator generates the three-phase current signal, calculates a phase of the three-phase current signal according to the real-time phase of the power grid and the target phase difference, and a formula is as follows: ； In the formula, θ current (n) represents the phase of the three-phase current signal; Using the phase and a pre-set standard current amplitude I rated The instantaneous current value of the three-phase current signal is calculated, according to the formula: ； In the formula, I sync (n) represents the instantaneous current value of the three-phase current signal; the instantaneous current is input into the PWM amplifier and filter to output the three-phase current signal; S303, the virtual load is constructed by using the output three-phase voltage signal and the three-phase current signal.

5. The method of claim 4, wherein: The specific steps of displaying the different key data measurement values of the virtual load by using the electric energy meter in S400 are as follows: S401、The electric energy meter measures the three-phase voltage signal and the three-phase current signal of the virtual load by using the metering circuit, and the microprocessor reads the key data of the virtual load measured by the electric energy meter according to the electric energy meter communication protocol, wherein the key data includes total active power P meter , total reactive power Q meter , power factor PF meter , voltage phase angle θ U-meter , current phase angle θ I−meter ; and a key data measurement value set {P meter , Q meter , PF meter , θ U-meter , θ I−meter} is constructed by using the read electric energy meter measurement key data.

6. The method of claim 5, wherein: The specific steps of calculating the error of the key data theoretical value and the measurement value in S500 are as follows: S501, the key data theoretical value of the virtual load is calculated according to the virtual load parameters, and the specific steps are as follows: The total active power theoretical value is calculated according to the formula: , wherein U std represents the three-phase voltage signal value of the virtual load, I std represents the three-phase current signal value of the virtual load, and P std represents the total active power theoretical value. The total reactive power theoretical value is calculated according to the formula: , wherein Q std represents the total reactive power theoretical value; Power factor theoretical value PF std = PF set , voltage phase angle theoretical value θ U-std = θ grid , current phase angle theoretical value θ I−std = θ grid - D set ; S502, construct a virtual load key data theoretical value set {P std , Q std , PF std , θ U-std , θ I−std} , using the key data theoretical value set to subtract the key data measured value set to obtain the key data error set as {△P, △Q, △PF, △θ U , △θ I}, △P represents the total active power error, △Q represents the total reactive power error, △PF represents the power factor error, △θ U represents the voltage phase angle error, △θ I represents the current phase angle error.

7. The method of claim 6, wherein: The specific steps of judging the error by using the abnormal diagnosis model in S600 are as follows: S601, a set of preset error thresholds is {Y_P, Y_Q, Y_PF, Y_θ U , Y_θ I}, Y_P represents a total active power error threshold, Y_Q represents a total reactive power error threshold, Y_PF represents a power factor error threshold, Y_θ U represents a voltage phase angle error threshold, and Y_θ I represents a current phase angle error threshold. The error set is judged by using the error threshold set, when all key data errors in the error set are less than the corresponding error threshold, it is judged that the meter connection is correct; When any error in the key data error set is greater than the corresponding error threshold, it is judged that the meter connection is abnormal, and the abnormal diagnosis model is started. S602, extract historical meter connection abnormality records, map each key data error value in the abnormality records to a corresponding connection abnormality type, sample the historical records to train an abnormality diagnosis model, and when judging meter connection abnormality, the abnormality diagnosis model extracts each key data error value to find the corresponding abnormality type in the mapping.

8. The method of claim 7, wherein: The specific steps of generating and uploading the detection report in S700 are: S701, integrate all data and judgment results in the working process of the core line instrument, the all data in the working process including detection time, operator, location, preset virtual load key data, key data theoretical value and measured value, key data error, abnormality type, and finally generate and upload the detection report.

9. A nuclear-based meter connection anomaly data transmission system characterized by: The meter connection abnormality data transmission system includes a data acquisition module, a power grid detection module, a virtual load module, a key data module, an abnormality judgment and report uploading module; The data acquisition module is used to extract historical meter connection abnormality records, and map each key data error value in the abnormality records to a corresponding connection abnormality type; The power grid detection module is used to connect the core line instrument with the meter, the core line instrument collects a sequence of discrete voltage instantaneous values in the power grid, and calculates the real-time phase and frequency of the power grid voltage from the sequence of voltage instantaneous values; The virtual load module is used to generate a three-phase voltage signal with the same phase and frequency as the power grid by the signal generator in the core line instrument using the real-time phase of the power grid voltage, calculate a three-phase current signal using the target phase difference, real-time phase and virtual load parameters, and use the three-phase voltage signal and three-phase current signal to form a virtual load; The key data module is used to display key data measured values by the electric energy meter, calculate key data theoretical values, and then calculate key data errors; The abnormality judgment is used to preset a key data error threshold, judge the key data error using the error threshold, and judge whether the meter connection is abnormal; The report uploading module is used to integrate all data and judgment results in the working process of the core line instrument, and generate and upload the detection report.

10. A meter connection abnormal data transmission system based on a core line instrument according to claim 9, characterized in that: The key data module includes a key data measured value unit, a key data theoretical value unit and a key data error unit; The key data measured value unit is used to input the voltage and current signals of the virtual load into the electric energy meter through the metering loop, and display different key data measured values of the virtual load by the electric energy meter; The key data theoretical value unit is used to calculate virtual load key data theoretical values according to virtual load parameters; The key data error unit is used to calculate the error of the key data theoretical value and the measured value.

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