Method, device and electronic equipment for judging the operating state of magnetic valve type current transformer

Abstract

The present invention provides a method, device and electronic equipment for judging the operating state of a magnetic valve type current transformer, and relates to the technical field of metering equipment state assessment. The present invention collects operating state data of a magnetic valve type current transformer; performs feature extraction on the operating state data to obtain current frequency domain feature data, temperature time domain feature data, magnetic field time domain feature data and magnetic field frequency domain feature data; generates a current state coefficient through the current frequency domain feature data; generates a temperature state coefficient through the temperature time domain feature data; generates a current state coefficient, a temperature state coefficient, a magnetic field state coefficient, a magnetic field time domain feature data and a magnetic field frequency domain feature data according to the operating feature data; generates a magnetic field state coefficient by performing mathematical analysis on the current state coefficient, the temperature state coefficient and the magnetic field state coefficient; compares the operating state coefficient with a preset threshold value, and judges the operating state according to the comparison result.

Description

Technical Field

[0001] The present invention relates to the technical field of metering equipment status evaluation, and in particular to a method, a device and an electronic device for judging the operating status of a magnetic valve type current transformer. Background Art

[0002] In the vast network of power systems, magnetic valve current transformers (CVTs) are indispensable precision instruments that play a core role in current measurement, system protection and automatic control. The accuracy and reliability of CVTs are directly related to the stable operation of the power system. Any slight deviation may lead to serious consequences such as power loss, equipment damage and even system collapse. CVTs ensure the accurate transmission of current signals through their precise electromagnetic conversion mechanism, which is essential for the precise control and protection of power systems.

[0003] Traditional CVT monitoring methods, such as regular physical inspections and offline testing, can provide a certain degree of safety assurance, but the limitations of these methods are obvious. First, they require power outages, which is unacceptable in modern society because power outages mean production stagnation, economic losses, and interruptions to social services. Power outage inspections not only affect the normal power consumption of power users, but may also lead to interruptions in industrial production, causing huge economic losses. In addition, power outages will also affect the operation of public facilities, such as hospitals, transportation systems, etc., disrupting social order.

[0004] Secondly, these methods cannot provide continuous condition monitoring and therefore cannot capture transient changes in the CVT during operation, which are often early signs of potential failures. Transient changes may include sudden increases or decreases in current, abnormal fluctuations in temperature, changes in magnetic fields, etc., which may be early warnings of CVT performance degradation or impending failure. Since traditional monitoring methods cannot monitor these parameters in real time, it is difficult to detect and deal with these problems in a timely manner.

[0005] In the prior art, publication number CN117477495B discloses a current transformer state monitoring system and method, wherein the current transformer state monitoring system includes a server, a current anomaly identification module, a power auxiliary measurement module, an operation management analysis module, a current transformer state evaluation module and a remote monitoring terminal; the prior art identifies and determines the anomalies of the primary and secondary currents of the current transformer through the current anomaly identification module, performs power auxiliary monitoring of the current transformer through the power auxiliary measurement module when generating a normal current signal, and performs operation management analysis of the current transformer through the operation management analysis module when generating a normal power auxiliary measurement signal, thereby achieving comprehensive monitoring of the current transformer and accurately determining the abnormality of its operating state, and being able to reasonably evaluate the operating quality and risk of the current transformer during the quality evaluation cycle and provide timely feedback and warning, which is conducive to ensuring the safe and stable operation of the current transformer and significantly reducing the difficulty of management. However, this prior art has shortcomings. This prior art separates abnormal current from normal current but abnormal other data, and analyzes them separately, ignoring that the operating state should be a comprehensive state presentation of various data. Current is a key parameter in system operation, and its state change is often closely related to other parameters such as temperature, pressure, vibration, etc. This isolated analysis method ignores the inherent connection between current and other parameters, which may lead to the inability to fully and accurately identify and diagnose abnormal states in system operation.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The purpose of the present invention is to provide a method, device and electronic equipment for judging the operating state of a magnetic valve type current transformer, so as to solve the problems raised in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] The method for judging the operating state of a magnetic valve type current transformer comprises the following specific steps:

[0010] Collect the operating status data of magnetic valve current transformer;

[0011] Analyze and process the operation status data, and extract features from the analyzed data to obtain operation feature data;

[0012] Generate current state coefficient, temperature state coefficient and magnetic field state coefficient respectively according to the operation characteristic data;

[0013] Generate the operation state coefficient by mathematically analyzing the current state coefficient, temperature state coefficient and magnetic field state coefficient;

[0014] The operating status coefficient is compared with a preset threshold value, and the operating status is determined based on the comparison result.

[0015] Furthermore, the time domain characteristics of the operating status data are extracted to obtain time domain characteristic data, the operating status data is Fourier transformed to obtain corresponding spectrum data, and the frequency domain characteristic data is obtained by analyzing the spectrum data. The operating status data of the magnetic valve type current transformer includes primary side current timing data, secondary side current timing data, magnetic field timing data of the magnetic valve, iron core, primary winding and secondary winding, and temperature timing data; the time domain characteristic data includes maximum temperature, temperature stability rate and maximum magnetic field change rate; the frequency domain characteristic data includes fundamental wave phase difference, total harmonic distortion rate, effective harmonic content and magnetic field imbalance.

[0016] Furthermore, the fundamental frequency is obtained by analyzing the main spectrum components of the primary side current spectrum data and the secondary side current spectrum data, and the phase difference between the primary side current and the secondary side fundamental frequency is calculated to obtain the fundamental phase difference; the specific logic is as follows:

[0017]

[0018] in, is the fundamental phase difference, is the fundamental phase of the primary side, is the fundamental phase on the secondary side.

[0019] Furthermore, the total harmonic distortion rate is obtained by analyzing the secondary current spectrum data, and the specific formula is as follows:

[0020]

[0021] Where, THD is the total harmonic distortion, I i is the i-th harmonic amplitude, I1 is the fundamental amplitude, n is the total number of harmonics, and i is the harmonic number index.

[0022] Furthermore, the specific formula for calculating the content of the i-th harmonic is as follows:

[0023]

[0024] Among them, H i is the i-th harmonic content, I i is the amplitude of the ith harmonic, and I1 is the amplitude of the fundamental wave.

[0025] For the i-th harmonic content H i The specific logic of threshold processing is as follows: a standard harmonic content is preset, the harmonic content below the standard harmonic content is set to zero, and then the average value of the harmonic content after threshold processing is calculated to obtain the effective harmonic content. The specific formula is as follows:

[0026]

[0027] in, is the effective harmonic content, H′ i is the i-th harmonic content after processing.

[0028] Furthermore, the maximum value of the temperature time series data is extracted to obtain the maximum temperature, the average value of the temperature time series data is calculated, and the variance of the temperature time series data is calculated by the average value to obtain the temperature stability rate; the specific formula based on this is:

[0029]

[0030] Among them, T B is the temperature stability rate, T is the total time of the temperature time series data, and T(t) is the temperature time series data.

[0031] Furthermore, the maximum magnetic field change rate is obtained by analyzing the magnetic valve magnetic field time series data. The specific logic is that the magnetic valve magnetic field time series data is differentiated, and the maximum differential value is the maximum magnetic field change rate. The specific formula is:

[0032]

[0033] in, is the maximum magnetic field change rate, and dK(t) is the time series data of the magnetic field.

[0034] Furthermore, the spectral data of the magnetic field of the magnetic valve, iron core, primary winding and secondary winding are feature extracted to obtain the corresponding power spectrum density. By analyzing the power spectrum density of the magnetic valve, iron core, primary winding and secondary winding, the magnetic field imbalance is obtained. The specific formula is:

[0035]

[0036] Wherein, C is the magnetic field imbalance, P1 is the power spectrum density of the magnetic valve, P2 is the power spectrum density of the core, P3 is the power spectrum density of the primary winding, P4 is the power spectrum density of the secondary winding, and j is the number of the power spectrum density position, j≤4.

[0037] Furthermore, the specific logic for generating the current state coefficient is as follows: a current state model is constructed according to the fundamental phase difference, total harmonic distortion rate and effective harmonic content to generate the current state coefficient. The specific formula is as follows:

[0038]

[0039] Where IA is the current state coefficient, is the fundamental phase difference, THD is the total harmonic distortion, is the effective harmonic content.

[0040] Furthermore, the specific logic for generating the temperature state coefficient is as follows: a temperature state model is constructed according to the maximum temperature and the temperature fluctuation, and the temperature state coefficient is generated. The specific formula is as follows:

[0041] TA=T B log 10 T max

[0042] Where TA is the temperature state coefficient, T B is the temperature stability rate, T max is the maximum temperature.

[0043] Furthermore, the specific logic for generating the magnetic field state coefficient is as follows: a magnetic field state model is constructed according to the maximum magnetic field change rate and the magnetic field imbalance, and the magnetic field state coefficient is generated. The specific formula is as follows:

[0044]

[0045] Where CA is the magnetic field state coefficient, is the maximum magnetic field change rate, and C is the magnetic field imbalance.

[0046] Furthermore, the specific logic for generating the operating state coefficient is as follows: the operating state model of the magnetic valve type current transformer is obtained by mathematically analyzing the current state coefficient, the temperature state coefficient, and the magnetic field state coefficient, and the operating state coefficient is generated; the specific formula is as follows:

[0047]

[0048] Among them, Ab is the operating state coefficient, I A is the current state coefficient, TA is the temperature state coefficient, and CA is the magnetic field state coefficient.

[0049] Further, the specific logic for judging the operating state of the magnetic valve type current transformer is as follows: if the operating state coefficient Ab<0.6Ab0, the magnetic valve type current transformer is in a normal operating state; if the operating state coefficient 0.6Ab0≤Ab<Ab0, the magnetic valve type current transformer is in a warning operating state; if the operating state coefficient Ab≥Ab0, the magnetic valve type current transformer is in a fault operating state;

[0050] Among them, Ab is the operating state coefficient, and Ab0 is the operating state threshold.

[0051] The present invention further provides a device for determining the operating state of a magnetic valve type current transformer, the device being used to implement the steps of the method for determining the operating state of the magnetic valve type current transformer, including:

[0052] A data acquisition module, used to collect operating status data of the magnetic valve type current transformer;

[0053] A feature extraction module is used to analyze and process the operation status data, and extract features from the analyzed data to obtain operation feature data;

[0054] A characteristic analysis module, used to generate a current state coefficient, a temperature state coefficient, and a magnetic field state coefficient according to the operation characteristic data;

[0055] A data processing module, used for generating an operation state coefficient by mathematically analyzing a current state coefficient, a temperature state coefficient, and a magnetic field state coefficient;

[0056] The state judgment module is used to compare the operating state coefficient with a preset threshold value and judge the operating state according to the comparison result.

[0057] The present invention further provides an electronic device for judging the operating status of a magnetic valve type current transformer, the electronic device comprising a processor and a storage device, the storage device having a computer program executable by the processor, and the computer program, when executed by the processor, can implement the steps of the method for judging the operating status of the magnetic valve type current transformer.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] The present invention not only carefully considers the magnetic field changes and fluctuations around the magnetic valve, iron core, primary winding and secondary winding, but also innovatively constructs a magnetic field state coefficient that can accurately reflect the magnetic field state. This coefficient provides a key quantitative basis for evaluating the operating state of the magnetic valve type current transformer, greatly enhancing the accuracy and reliability of state analysis.

[0060] The present invention also creatively generates an operating state coefficient by comprehensively analyzing the multi-dimensional states of current, temperature and magnetic field. This coefficient converts complex operating states into quantifiable values, allowing the operating state of the magnetic valve current transformer to be intuitively displayed. By deeply analyzing the size of the operating state coefficient, it is possible to clearly determine what operating state the equipment is in, thereby providing a scientific basis for maintenance decisions and performance optimization. This innovation not only improves the transparency of equipment operation, but also provides a strong guarantee for the stability and efficiency of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the overall method flow of the present invention.

[0062] Figure 2 It is a schematic diagram of the overall structure of the device of the present invention. DETAILED DESCRIPTION

[0063] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0064] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0065] Example:

[0066] See also Figure 1 , the present invention provides a technical solution:

[0067] A method for judging the operating state of a magnetic valve type current transformer, the specific steps comprising:

[0068] Step 1: Collect the operating status data of the magnetic valve current transformer.

[0069] The operating status data of the magnetic valve type current transformer includes primary side current timing data, secondary side current timing data, magnetic field timing data of the magnetic valve, iron core, primary winding and secondary winding, and temperature timing data; wherein the primary side current timing data and the secondary side current timing data can be collected by current sensors connected to the primary winding and the secondary winding; the magnetic field timing data of the magnetic valve, iron core, primary winding and secondary winding are collected by magnetic field sensors respectively installed on the magnetic valve, iron core, primary winding and secondary winding; the temperature timing data is measured by a temperature sensor installed on the iron core.

[0070] Step 2: Analyze and process the operating status data, and extract features from the analyzed data to obtain operating feature data.

[0071] Extracting the time domain characteristics of the running status data to obtain time domain characteristic data, performing Fourier transform on the running status data to obtain corresponding spectrum data, and obtaining frequency domain characteristic data by analyzing the spectrum data, wherein the time domain characteristic data includes maximum temperature, temperature stability rate and maximum magnetic field change rate; the frequency domain characteristic data includes fundamental wave phase difference, total harmonic distortion rate, effective harmonic content and magnetic field imbalance;

[0072] The fundamental frequency is obtained by analyzing the main spectrum data components of the primary side current spectrum data and the secondary side current spectrum data, and the fundamental phase difference is obtained by calculating the phase difference between the primary side current and the secondary side fundamental frequency; the specific logic is as follows:

[0073]

[0074] in, is the fundamental phase difference, is the fundamental phase of the primary side, is the fundamental phase of the secondary side. Fundamental phase difference It reflects the phase characteristics of the current transformer when transmitting fundamental frequency current. The smaller the value, the better the performance of the transformer, and the more accurately it can transmit the phase information of the current.

[0075] The total harmonic distortion rate is obtained by analyzing the secondary side current spectrum data, and the specific formula is as follows:

[0076]

[0077] Where, THD is the total harmonic distortion, I i is the i-th harmonic amplitude, I1 is the fundamental amplitude, n is the total number of harmonics, and i is the harmonic order index. The total harmonic distortion rate THD reflects the relative strength of the harmonic components in the current waveform. The larger its value, the more harmonic components there are in the signal, which can provide an important basis for evaluating the current state.

[0078] The specific formula for calculating the content of the i-th harmonic is:

[0079]

[0080] Among them, H i is the i-th harmonic content, I i is the amplitude of the ith harmonic, and I1 is the amplitude of the fundamental wave.

[0081] For the i-th harmonic content H i The specific logic of threshold processing is as follows: a standard harmonic content is preset, the harmonic content below the standard harmonic content is set to zero, and then the average value of the harmonic content after threshold processing is calculated to obtain the effective harmonic content. The specific formula is as follows:

[0082]

[0083] in, is the effective harmonic content, H′ i is the i-th harmonic content after processing. Effective harmonic content It reflects the influence of harmonics on current. The larger the value, the greater the influence of harmonics on current. Extracting effective harmonic content can provide a basis for evaluating current status.

[0084] The maximum value of the temperature time series data is extracted to obtain the maximum temperature, which can reflect the maximum value of the core temperature. Usually, if there is no fault when the core temperature reaches the maximum, the current transformer will operate normally during this period.

[0085] Calculate the average value of the temperature time series data, and calculate the variance of the temperature time series data through the average value to obtain the temperature stability rate; the specific formula is:

[0086]

[0087] Among them, T B is the temperature stability rate, T is the total time of the temperature time series data, and T(t) is the temperature time series data. Temperature stability rate T B Reflects the temperature fluctuation amplitude. The larger the value, the greater the fluctuation amplitude of the core temperature and the worse the current transformer condition.

[0088] The maximum magnetic field change rate is obtained by analyzing the magnetic valve magnetic field time series data. The specific logic is that the magnetic valve magnetic field time series data is differentiated, and the maximum differential value is the maximum magnetic field change rate. The specific formula is:

[0089]

[0090] in, is the maximum magnetic field change rate, and dK(t) is the time series data of the magnetic field. The rate that reflects the fastest change in magnetic field strength. The larger the value, the faster the magnetic field strength changes. However, under ideal conditions, when the magnetic valve current transformer is working, the magnetic field strength is constant. In the actual working environment, the magnetic field strength is affected by many factors and usually has slight changes. Therefore, a huge change in the magnetic field strength is usually accompanied by a change in the operating state of the current transformer.

[0091] The feature extraction of the spectrum data of the magnetic field of the magnetic valve, iron core, primary winding and secondary winding is performed to obtain the corresponding power spectrum density. By analyzing the power spectrum density of the magnetic valve, iron core, primary winding and secondary winding, the magnetic field imbalance is obtained. The specific formula is as follows:

[0092]

[0093] Among them, C is the magnetic field imbalance, P1 is the power spectrum density of the magnetic valve, P2 is the power spectrum density of the core, P3 is the power spectrum density of the primary winding, P4 is the power spectrum density of the secondary winding, j is the number of the power spectrum density position, j≤4. The magnetic field imbalance C reflects the degree of inconsistency of the magnetic field strength at each position of the magnetic field. The larger its value, the greater the difference in magnetic field strength at each position. Ideally, the magnetic field strength at each position should remain consistent. The magnetic field strength at each position is affected by many factors and usually has slight differences. Therefore, when there is a huge difference in the magnetic field strength at each position, the operating state of the current transformer will usually be abnormal.

[0094] Step 3: Generate current state coefficient, temperature state coefficient, and magnetic field state coefficient respectively according to the operation characteristic data;

[0095] The specific logic for generating the current state coefficient is as follows: a current state model is constructed based on the fundamental phase difference, total harmonic distortion rate and effective harmonic content to generate the current state coefficient. The specific formula is as follows:

[0096]

[0097] Where IA is the current state coefficient, is the fundamental phase difference, THD is the total harmonic distortion, The current state coefficient IA reflects the comprehensive state of the current. The larger the value, the better the current state. The phase characteristic of the current transformer when transmitting fundamental frequency current. The smaller the value, the better the performance of the transformer, and the more accurately it can transmit the phase information of the current; the harmonic distortion rate THD reflects the relative strength of the harmonic components in the current waveform. The larger the value, the more harmonic components in the signal, the worse the current state, and the lower the effective harmonic content. It reflects the influence of harmonics on current. The larger the value, the greater the influence of harmonics on current and the worse the current state. This formula takes into account the phase and harmonic related information of current to generate a current state coefficient that can comprehensively reflect the current state.

[0098] The specific logic for generating the temperature state coefficient is as follows: a temperature state model is constructed based on the maximum temperature and temperature fluctuation to generate the temperature state coefficient. The specific formula is as follows:

[0099] TA=T B log 10 T max

[0100] Where TA is the temperature state coefficient, T Bis the temperature stability rate, T max The temperature state coefficient TA reflects the comprehensive state of temperature. The smaller the value, the better the temperature state. The temperature stability rate T B It reflects the fluctuation amplitude of temperature. The larger the value is, the greater the fluctuation amplitude of core temperature is and the worse the state of current transformer is. The maximum temperature can reflect the maximum value of core temperature. Usually, when core temperature reaches the maximum, there is no fault, and the current transformer operates normally during this period. This formula comprehensively analyzes the above temperature-related parameters to obtain a temperature state coefficient that can reflect the temperature state.

[0101] The specific logic for generating the magnetic field state coefficient is as follows: a magnetic field state model is constructed based on the maximum magnetic field change rate and the magnetic field imbalance, and the magnetic field state coefficient is generated based on the specific formula:

[0102]

[0103] Where CA is the magnetic field state coefficient, is the maximum magnetic field change rate, and C is the magnetic field imbalance. The magnetic field state coefficient CA reflects the comprehensive state of the magnetic field. The smaller its value is, the more stable the magnetic field state is, and the better the current transformer operation state is; the maximum magnetic field change rate It reflects the rate at which the magnetic field strength changes most quickly. The larger its value, the faster the magnetic field strength changes, and the more unstable the magnetic field operation state is. The magnetic field imbalance C reflects the degree of inconsistency in the magnetic field strength at various positions of the magnetic field. The larger its value, the greater the difference in magnetic field strength at various positions, and the more unstable the magnetic field operation state is. This formula constructs a mathematical model based on the maximum magnetic field change rate and magnetic field imbalance to generate a magnetic field state coefficient that can comprehensively reflect the magnetic field state.

[0104] Step 4: Generate the operation state coefficient by mathematically analyzing the current state coefficient, temperature state coefficient, and magnetic field state coefficient.

[0105] The specific logic for generating the operating state coefficient is as follows: the operating state model of the magnetic valve type current transformer is obtained by mathematically analyzing the current state coefficient, the temperature state coefficient, and the magnetic field state coefficient, and the operating state coefficient is generated; the specific formula is as follows:

[0106]

[0107] Among them, Ab is the operating state coefficient, IA is the current state coefficient, TA is the temperature state coefficient, and CA is the magnetic field state coefficient. The operating state coefficient Ab can reflect the comprehensive operating state of the magneto-valve current transformer. The larger its value, the worse the comprehensive operating state of the magneto-valve current transformer; the current state coefficient IA reflects the comprehensive state of the current, and the larger its value, the better the current state; the temperature state coefficient TA reflects the comprehensive state of the temperature, and the smaller its value, the better the temperature state; the magnetic field state coefficient CA reflects the comprehensive state of the magnetic field, and the smaller its value, the more stable the magnetic field state and the better the operating state of the current transformer. The present invention comprehensively analyzes the current state, temperature state, and magnetic field state of the magneto-valve current transformer, which can provide an important basis for judging the operating state of the magneto-valve current transformer.

[0108] Step 5: Compare the operating state coefficient with a preset threshold, and judge the operating state according to the comparison result.

[0109] The specific logic for judging the operating state of the magneto-valve current transformer is as follows: If the operating state coefficient Ab < 0.6Ab0, the magneto-valve current transformer is in a normal operating state; if the operating state coefficient 0.6Ab0 ≤ Ab < Ab0, the magneto-valve current transformer is in a warning operating state; if the operating state coefficient Ab ≥ Ab0, the magneto-valve current transformer is in a fault operating state;

[0110] Among them, Ab is the operating state coefficient, and Ab0 is the operating state threshold.

[0111] Please refer to Figure 2 , the present invention also provides a device for judging the operating state of a magneto-valve current transformer. The device is used to implement the steps of the method for judging the operating state of the magneto-valve current transformer, and includes:

[0112] A data acquisition module for acquiring the operating state data of the magneto-valve current transformer;

[0113] A feature extraction module for analyzing and processing the operating state data, and extracting operating feature data from the analyzed data;

[0114] A feature analysis module for generating a current state coefficient, a temperature state coefficient, and a magnetic field state coefficient respectively according to the operating feature data;

[0115] A data processing module for generating an operating state coefficient by performing mathematical analysis on the current state coefficient, the temperature state coefficient, and the magnetic field state coefficient;

[0116] A state judgment module for comparing the operating state coefficient with a preset threshold, and judging the operating state according to the comparison result.

[0117] The present invention further provides an electronic device for judging the operating status of a magnetic valve type current transformer, the electronic device comprising a processor and a storage device, the storage device having a computer program executable by the processor, and the computer program, when executed by the processor, can implement the steps of the method for judging the operating status of the magnetic valve type current transformer.

[0118] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0119] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for judging the operating state of a magnetic valve type current transformer, characterized in that: The specific steps include: Collect the operating status data of magnetic valve current transformer; Extracting features from the running status data to obtain running feature data; Generate current state coefficient, temperature state coefficient and magnetic field state coefficient respectively according to the operation characteristic data; The operation state coefficient is generated by mathematically analyzing the current state coefficient, the temperature state coefficient and the magnetic field state coefficient; Compare the operating status coefficient with a preset threshold value, and determine the operating status according to the comparison result; The specific logic for generating the current state coefficient is as follows: a current state model is constructed based on the fundamental phase difference, total harmonic distortion rate and effective harmonic content to generate the current state coefficient. The specific formula is as follows: Where IA is the current state coefficient, is the fundamental phase difference, THD is the total harmonic distortion, is the effective harmonic content; The specific logic for generating the temperature state coefficient is as follows: a temperature state model is constructed based on the maximum temperature and the temperature stability rate to generate the temperature state coefficient. The specific formula is as follows: TA=T B log 10 T max Where TA is the temperature state coefficient, T B is the temperature stability rate, T max is the maximum temperature; The specific logic for generating the magnetic field state coefficient is as follows: a magnetic field state model is constructed based on the maximum magnetic field change rate and the magnetic field imbalance, and the magnetic field state coefficient is generated based on the specific formula: Where CA is the magnetic field state coefficient, is the maximum magnetic field change rate, C is the magnetic field imbalance; The specific logic for generating the operating state coefficient is as follows: the operating state model of the magnetic valve type current transformer is obtained by mathematically analyzing the current state coefficient, the temperature state coefficient, and the magnetic field state coefficient, and the operating state coefficient is generated; the specific formula is as follows: Among them, Ab is the operating state coefficient, IA is the current state coefficient, TA is the temperature state coefficient, and CA is the magnetic field state coefficient.

2. A method for judging the operating state of a magnetic valve type current transformer according to claim 1, characterized in that: The time domain characteristics of the operating status data are extracted to obtain time domain characteristic data, the operating status data are Fourier transformed to obtain corresponding spectrum data, and the frequency domain characteristic data are obtained by analyzing the spectrum data. The operating status data of the magnetic valve type current transformer includes primary side current timing data, secondary side current timing data, magnetic field timing data of the magnetic valve, iron core, primary winding and secondary winding, and temperature timing data; the time domain characteristic data includes maximum temperature, temperature stability rate and maximum magnetic field change rate; the frequency domain characteristic data includes fundamental wave phase difference, total harmonic distortion rate, effective harmonic content and magnetic field imbalance.

3. A method for judging the operating state of a magnetic valve type current transformer according to claim 2, characterized in that: The fundamental frequency is obtained by analyzing the main spectrum components of the primary side current spectrum data and the secondary side current spectrum data, and the fundamental phase difference is obtained by calculating the phase difference between the primary side current and the secondary side fundamental frequency. The specific logic is as follows: in, is the fundamental phase difference, is the fundamental phase of the primary side, is the fundamental phase on the secondary side.

4. A method for judging the operating state of a magnetic valve type current transformer according to claim 2, characterized in that: The total harmonic distortion rate is obtained by analyzing the secondary side current spectrum data, and the specific formula is as follows: Where, THD is the total harmonic distortion, I i is the i-th harmonic amplitude, I1 is the fundamental amplitude, n is the total number of harmonics, and i is the harmonic number index.

5. The method for judging the operating state of a magnetic valve type current transformer according to claim 2, characterized in that: The specific formula for calculating the content of the i-th harmonic is: Among them, H i is the i-th harmonic content, I i is the amplitude of the i-th harmonic, and I1 is the amplitude of the fundamental wave; For the i-th harmonic content H i The specific logic of threshold processing is as follows: a standard harmonic content is preset, the harmonic content below the standard harmonic content is set to zero, and then the average value of the harmonic content after threshold processing is calculated to obtain the effective harmonic content. The specific formula is as follows: in, is the effective harmonic content, H′ i is the i-th harmonic content after processing.

6. A method for judging the operating state of a magnetic valve type current transformer according to claim 2, characterized in that: The maximum value of the temperature time series data is extracted to obtain the maximum temperature, the average value of the temperature time series data is calculated, and the variance of the temperature time series data is calculated by the average value to obtain the temperature stability rate; the specific formula is: Among them, T B is the temperature stability rate, T is the total time of the temperature time series data, and T(t) is the temperature time series data.

7. A method for judging the operating state of a magnetic valve type current transformer according to claim 1, characterized in that: The maximum magnetic field change rate is obtained by analyzing the magnetic valve magnetic field time series data. The specific logic is that the magnetic valve magnetic field time series data is differentiated, and the maximum differential value is the maximum magnetic field change rate. The specific formula is: in, is the maximum magnetic field change rate, and dK(t) is the time series data of the magnetic field.

8. A method for judging the operating state of a magnetic valve type current transformer according to claim 2, characterized in that: Feature extraction is performed on the spectral data of the magnetic fields of the magnetic valve, iron core, primary winding, and secondary winding to obtain the corresponding power spectral densities. By analyzing the power spectral densities of the magnetic valve, iron core, primary winding, and secondary winding, the magnetic field unbalance degree is obtained. The specific formula is as follows where C is the magnetic field unbalance degree, P1 is the power spectral density of the magnetic valve, P2 is the power spectral density of the iron core, P3 is the power spectral density of the primary winding, P4 is the power spectral density of the secondary winding, and j is the number of the power spectral density position, with j ≤ 4.

9. A method for judging the operating state of a magnetic valve type current transformer according to claim 1, characterized in that: The specific logic for judging the operating state of the magnetic valve type current transformer is as follows: If the operating state coefficient Ab < 0.6Ab0, the magnetic valve type current transformer is in the normal operating state; if 0.6Ab0 ≤ Ab < Ab0, the magnetic valve type current transformer is in the warning operating state; if the operating state coefficient Ab ≥ Ab0, the magnetic valve type current transformer is in the fault operating state; where Ab is the operating state coefficient and Ab0 is the operating state threshold.

10. A device for judging the operating status of a magnetic valve type current transformer, characterized in that: The device is used to implement the method for judging the operating state of the magnetic valve type current transformer according to any one of claims 1-9, and includes: a data acquisition module for acquiring the operating state data of the magnetic valve type current transformer; a feature extraction module for analyzing and processing the operating state data and extracting operating feature data from the analyzed data; a feature analysis module for generating a current state coefficient, a temperature state coefficient, and a magnetic field state coefficient respectively according to the operating feature data; a data processing module for generating an operating state coefficient by performing mathematical analysis on the current state coefficient, the temperature state coefficient, and the magnetic field state coefficient; a state judgment module for comparing the operating state coefficient with a preset threshold and judging the operating state according to the comparison result.

11. An electronic device, characterized in that: The electronic device includes a processor and a storage device. The storage device has a computer program executable by the processor. When the computer program is executed by the processor, it can implement the method for judging the operating state of the magnetic valve type current transformer according to any one of claims 1-9.

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