Precise current transformer measurement and data analysis method

Abstract

The invention discloses a precision current transformer measurement and data analysis method, particularly relates to the field of current detection and dynamic signal analysis, and comprises a precision magnetic core design scheme based on a nanocrystalline strip and a dynamic magnetic performance test and frequency response analysis method. A nanocrystalline strip with high magnetic conductivity and low loss characteristics is selected as a magnetic core material, and a high-performance magnetic core suitable for multiple frequency ranges is designed; the magnetic stability and response characteristics of the magnetic core material under different working conditions are evaluated by combining high-frequency current source excitation with dynamic magnetic performance test; a signal acquisition and frequency decoding technology is adopted, an output voltage signal is analyzed in real time, and the linearity and precision of a measurement system are optimized through a mathematical model; according to the method, accurate measurement and data analysis of complex current signals under high-precision and high-frequency conditions are realized, and the applicability and reliability of the current transformer are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of current detection and dynamic signal analysis, and more specifically, to a precision current transformer measurement and data analysis method. Background Art

[0002] Current current transformer technology faces multiple challenges in complex current measurement scenarios, especially in accurately sensing current under high-frequency conditions. Traditional current transformers are mostly made of iron-based alloys or ferrites as core materials. These materials are prone to magnetic saturation, excessive loss, and nonlinear frequency response in high-frequency working environments, which severely limits measurement accuracy and stability. In addition, the lack of real-time decoding and dynamic analysis capabilities for current signals makes traditional equipment less adaptable in complex scenarios.

[0003] Traditional current transformers cannot guarantee the linearity and consistency of measurements under high-frequency conditions. Their main drawback lies in the limitations of the core material performance. For example, under dynamic working conditions, the magnetic permeability and coercive force of traditional core materials change significantly with frequency, making it difficult to provide a stable magnetic response. In addition, traditional methods lack comprehensive testing and optimization of frequency response characteristics, which makes it impossible to meet the precise measurement requirements of complex current signals. This defect is particularly prominent in application scenarios that require real-time monitoring. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a precision current transformer measurement and data analysis method. By designing a magnetic core material based on nanocrystalline strips, a high-frequency current source drive system is constructed, and dynamic magnetic performance testing, frequency response analysis and data decoding technology are combined to optimize the linearity and dynamic response of the current transformer to meet the measurement requirements of the current signal, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a precision current transformer measurement and data analysis method, comprising:

[0006] Step 1: Design the current transformer and select the required nanocrystalline ribbon

[0007] When designing a current transformer, nanocrystalline ribbon is selected as the core material, and the shapes of the core material include ring, rectangle, and C-shape;

[0008] Step 2: Build the current measurement system

[0009] Build a current measurement system, which includes a high-frequency current source, a precision current transformer, a signal acquisition device, and a data processing platform. During the measurement process, the precision current transformer will be placed in the measurement loop to sense the current change and convert it into a voltage signal proportional to the current. The signal acquisition device is used to capture the high-frequency current waveform. The high-frequency current source is used to provide a high-frequency current signal for the current measurement system.

[0010] The data processing platform is used to analyze the collected voltage signals, convert them into current data, and display and store them in real time;

[0011] Step 3: Preliminary calibration of the current transformer

[0012] Before the actual measurement, the current transformer is calibrated preliminarily; the output signal of the current transformer is measured through a preset standard current source and compared with the theoretical value; the output proportional coefficient of the current transformer is adjusted according to the measurement result; the calibration process includes the calibration of load conditions, frequency range and current amplitude range;

[0013] Step 4: Perform dynamic magnetic performance test

[0014] Before the current transformer is put into use, a dynamic magnetic performance test is carried out; the dynamic magnetic performance test includes evaluating the magnetic permeability and saturation magnetic induction intensity of the nanocrystalline strip at different operating frequencies; by performing a frequency response test on the current transformer, its magnetic behavior data at different frequencies is obtained.

[0015] In a preferred embodiment, it further includes step 5 and step 6;

[0016] Step 5: Real-time monitoring of current and signal output

[0017] After the current transformer is put into use, the signal output of the current transformer is monitored, and the collected voltage signal is used to reflect the magnitude and change of the current, and is calculated and displayed in real time through the data processing platform;

[0018] Step 6: Frequency response analysis and data decoding

[0019] The output signal is decoded through frequency response analysis, and the frequency spectrum of the output signal of the current transformer is analyzed using the fast Fourier transform (FFT) method to identify the frequency components in the signal.

[0020] In a preferred embodiment, it further includes step 7 and step 8;

[0021] Step 7: Evaluate the magnetic stability of the nanocrystalline ribbon

[0022] The magnetic stability of nanocrystalline strips is evaluated through a deep evaluation model; the deep evaluation model evaluates the changing trends of its magnetic permeability, coercive force, and remanence based on time and environmental factors;

[0023] Step 8: Data Analysis and Optimization

[0024] Through comprehensive analysis of the tested data, the performance of the current transformer is deeply evaluated; based on the collected data, a mathematical model is established to optimize the dynamic response, linearity and accuracy of the transformer.

[0025] In a preferred embodiment, step 9 is also included;

[0026] Step 9: Optimization of core shape and design parameters

[0027] Based on the in-depth evaluation results, the shape and design parameters of the current transformer core are dynamically adjusted. The shapes of the core include ring, rectangle, and C shape; the design parameters of the core include size, winding method, and material properties.

[0028] In a preferred embodiment, when designing a current transformer, the relationship between the magnetic flux and the magnetic permeability of the nanocrystalline ribbon as the magnetic core material is calculated;

[0029]

[0030] Where Φ is the magnetic flux; μ0 is the vacuum permeability; μ r is the relative magnetic permeability; the magnetic permeability of nanocrystalline ribbon is relatively high, so it can effectively improve the performance of the mutual inductor; A is the cross-sectional area of ​​the magnetic core; I is the current; l is the length of the magnetic core;

[0031] Build a current measurement system, convert current signals into voltage signals and perform data acquisition;

[0032] V out = k·I

[0033] Where V out is the output voltage of the current transformer; k is the proportional coefficient; I is the input current;

[0034] Calibrate the current transformer to ensure that its output is consistent with the expected current signal;

[0035] V out =k cal I std

[0036] where k cal is the calibration scale factor; I std is the standard current.

[0037] In a preferred embodiment, the magnetic permeability and saturation magnetic induction intensity of the nanocrystalline ribbon are tested at different operating frequencies;

[0038]

[0039] Where μ(f) is the relative permeability under frequency response; μ0 is the vacuum permeability; μ r is the relative magnetic permeability; f is the current excitation frequency; f c is the critical frequency of the material; j is the imaginary unit.

[0040] In a preferred embodiment, the output signal of the current transformer is monitored by a real-time data acquisition system; the frequency component of the output signal of the current transformer is analyzed using a fast Fourier transform (FFT);

[0041]

[0042] Where I(t) is the real-time current value; V(t) is the real-time output voltage; k cal is the calibration scale factor;

[0043] Where X(f) is the representation of the time domain signal x(t) in the frequency domain; x(t) is the time domain signal; f is the frequency; t is the time; and j is the imaginary unit.

[0044] In a preferred embodiment, the magnetic stability of the nanocrystalline ribbon during long-term use is evaluated;

[0045] μ eff (t) = μ max e -αt

[0046] where μ eff (t) is the effective magnetic permeability at time t; μ max is the maximum magnetic permeability of the material; α is the attenuation coefficient; t represents the usage time of the material;

[0047] Optimize the performance of current transformers through data analysis;

[0048] J = ∫0 T (|I meas (t)-I ideal (t)| 2 )dt

[0049] Where J is the optimization objective function; I meas (t) is the measured current value; I ideal (t) is the ideal current value; t represents the time dependence of the measurement process; the above formula is used to calculate the actual current I meas (t) and the ideal current I ideal(t) to optimize the design and performance of the current transformer.

[0050] In a preferred embodiment, the shape and design parameters of the magnetic core are dynamically optimized based on the measurement and evaluation results;

[0051] The core shape is selected based on flux uniformity and leakage inductance minimization;

[0052]

[0053] where η shape is the shape optimization index; B is the magnetic flux density vector; V core is the volume of the magnetic core; B leak is the leakage flux density vector; A leak is the area of ​​the magnetic leakage region; n is the unit normal vector of the boundary of the magnetic leakage region; B represents the divergence of magnetic flux density, which is used to measure the uniformity of the magnetic field;

[0054] Design parameter optimization is based on loss minimization and permeability maximization;

[0055]

[0056] where Δ design is the design parameter optimization index; P loss is the core loss, P loss Including iron loss and eddy current loss; k h is the hysteresis loss coefficient; k e is the eddy current loss coefficient; f is the operating frequency; B max is the peak value of magnetic induction intensity; μ eff is the effective permeability of the core; the above formula combines the performance indicators of loss and permeability. By adjusting the design parameters of the core, the loss P can be minimized. loss and maximize the magnetic permeability μ eff .

[0057] In a preferred embodiment, the method for dynamically optimizing the magnetic core according to the measurement and evaluation results also includes size optimization, and the size optimization is based on target parameter constraints;

[0058]

[0059] Where L opt is the optimized inductance value, which is an important indicator of the magnetic core's inductive capacity; μ0 is the vacuum permeability; μ r is the relative magnetic permeability; N is the number of winding turns; A opt is the optimized cross-sectional area; l opt is the optimized core length.

[0060] Technical effects and advantages of the present invention:

[0061] 1. Based on nanocrystalline strips, this solution improves the response accuracy of the current transformer under complex frequency conditions. By utilizing the high magnetic permeability and low loss characteristics of nanocrystalline strips, combined with dynamic magnetic performance testing and frequency response analysis, the linear response and stability of the transformer to current signals of different frequencies are ensured;

[0062] 2. By combining signal acquisition equipment and fast Fourier transform (FFT) analysis technology, this solution realizes real-time monitoring and spectrum decoding of the output signal of the current transformer. It not only supports stable measurement of DC signals, but also can process multi-frequency alternating signals. It is suitable for complex application scenarios in the high-frequency field and helps to optimize the processing accuracy and response efficiency of current signals.

[0063] 3. Before use, the magnetic permeability, coercive force and saturation magnetic induction intensity of the nanocrystalline ribbon under different frequency conditions are evaluated through dynamic magnetic performance tests to ensure the performance stability and reliability of the core material, providing full guarantee for the working life and adaptability of the material;

[0064] 4. Through the optimization analysis and evaluation of the core shape, combined with the flux uniformity and leakage flux indicators, this solution dynamically adjusts the core design parameters, such as size, winding method, and material properties. This method ensures the optimal performance of the current transformer under different working conditions, especially the flexible adaptability in special scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] Refer to the instruction manual Figure 1 , a precision current transformer measurement and data analysis method according to an embodiment of the present invention comprises:

[0068] Step 1: Design the current transformer and select the required nanocrystalline ribbon

[0069] When designing a current transformer, nanocrystalline ribbon is selected as the core material, and the shapes of the core material include ring, rectangle, and C-shape;

[0070] Step 2: Build the current measurement system

[0071] Build a current measurement system, which includes a high-frequency current source, a precision current transformer, a signal acquisition device, and a data processing platform. During the measurement process, the precision current transformer will be placed in the measurement loop, responsible for sensing the current change and converting it into a voltage signal proportional to the current. The signal acquisition device is used to capture the high-frequency changing current waveform. The high-frequency current source is used to provide a high-frequency current signal to the current measurement system to ensure the response test of the precision current transformer at different frequencies.

[0072] The data processing platform is used to analyze the collected voltage signals, convert them into current data, and display and store them in real time;

[0073] Step 3: Preliminary calibration of the current transformer

[0074] Before the actual measurement, the current transformer is calibrated preliminarily; the output signal of the current transformer is measured through a preset standard current source and compared with the theoretical value; the output proportional coefficient of the current transformer is adjusted according to the measurement result; the calibration process includes the calibration of load conditions, frequency range and current amplitude range; the goal of this step is to ensure that the transformer responds uniformly and linearly to currents of different amplitudes and matches the theoretical calculated value;

[0075] Step 4: Perform dynamic magnetic performance test

[0076] Before the current transformer is put into use, a dynamic magnetic performance test is performed; the dynamic magnetic performance test includes evaluating the magnetic permeability, saturation magnetic induction intensity and other important magnetic performance indicators of the nanocrystalline strip at different operating frequencies; by performing a frequency response test on the current transformer, its magnetic behavior data at different frequencies is obtained; for example, a sinusoidal wave signal of different frequencies can be used to excite the current transformer, and its magnetic flux change and output signal can be observed, thereby helping to determine the performance stability and loss characteristics of the nanocrystalline strip in actual work;

[0077] Step 5: Real-time monitoring of current and signal output

[0078] After the current transformer is put into use, the signal output of the current transformer is monitored, and the collected voltage signal is used to reflect the magnitude and change of the current, and is calculated and displayed in real time through the data processing platform;

[0079] Step 6: Frequency response analysis and data decoding

[0080] In actual use, the signals that the current transformer needs to process are not only DC current, but also AC signals at various frequencies; the output signal is decoded through frequency response analysis, and the frequency spectrum analysis of the output signal of the current transformer is performed using the fast Fourier transform FFT method to identify the frequency components in the signal; this process helps to evaluate the linearity and accuracy of the current transformer at different frequencies, especially its performance in high-frequency applications.

[0081] Step 7: Evaluate the magnetic stability of the nanocrystalline ribbon

[0082] The magnetic stability of nanocrystalline strips is evaluated through a deep evaluation model; the deep evaluation model evaluates the changing trends of its magnetic permeability, coercive force, and remanence based on time and environmental factors;

[0083] Step 8: Data Analysis and Optimization

[0084] Through comprehensive analysis of the tested data, the performance of the current transformer is deeply evaluated; based on the collected data, a mathematical model is established to optimize the dynamic response, linearity and accuracy of the transformer.

[0085] Step 9: Optimization of core shape and design parameters

[0086] According to the in-depth evaluation results, the shape and design parameters of the current transformer core are dynamically adjusted. The core shapes include ring, rectangle, and C shape. The core design parameters include size, winding method, and material properties.

[0087] The logic of the formation of this plan revolves around the precise measurement of current transformers and the multi-dimensional evaluation of the performance of nanocrystalline strips. The core lies in the close integration of material properties, system design and data analysis. By selecting nanocrystalline strips as the core material, their high magnetic permeability and low loss performance determine the inductive sensitivity and measurement accuracy of the transformer. Different core shapes (ring, rectangle, C-shape) are designed to adapt to a variety of application scenarios, and the best shape in terms of flux uniformity and leakage inductance minimization is screened out through subsequent dynamic performance tests. Secondly, under the excitation of a high-frequency current source, the voltage signal is collected in real time and the key frequency characteristics are extracted using digital signal processing technology to ensure that the transformer has a linear response at different frequencies and current amplitudes, which not only meets the measurement requirements, but also evaluates the dynamic adaptability of the material. The dynamic magnetic performance test observes the flux density, rectification and The changes in coercive force and saturation magnetic induction intensity further verify the stability and loss characteristics of the material at different frequencies, which is directly related to the reliability of the equipment in actual working conditions. In addition, the frequency response analysis combines the FFT technology to decode the spectrum of the collected signal and quantify the high-frequency response accuracy of the transformer. This step-by-step optimization process ensures that the transformer can not only meet the needs of high-precision measurement, but also provide an optimization basis for the design parameters of the magnetic core (such as cross-sectional area, length, number of turns, etc.) at the data level, thereby achieving global optimization of measurement performance and system stability. Such a design can not only improve the reliability of precision measurement equipment, but also verify the comprehensive performance of nanocrystalline strips, making it an important technical solution in the fields of power monitoring, electronic information, etc. The integrity and scientific nature of this process make the solution not only of theoretical significance, but also of high engineering practicality and persuasiveness.

[0088] When designing current transformers, calculate the relationship between magnetic flux and permeability of nanocrystalline ribbons as core materials;

[0089]

[0090] Where Φ is the magnetic flux, which indicates the magnetic flux passing through the magnetic core. The magnetic flux determines the induction current capability of the current transformer; μ0 is the vacuum magnetic permeability, which is 4π×10 -7 H / m; μ r is the relative magnetic permeability, which refers to the ratio of the magnetic permeability of the material to the magnetic permeability of the vacuum; the magnetic permeability of the nanocrystalline ribbon is relatively high, so it can effectively improve the performance of the transformer; A is the cross-sectional area of ​​the core, which directly affects the transmission of the magnetic flux, and a larger area can pass more magnetic flux; I is the current, the current source passing through the current transformer, and the magnitude of the current directly affects the magnitude of the magnetic flux; l is the length of the core, and the length of the core affects the distribution of the magnetic field and the magnetic induction intensity; the above formula describes how to adjust the magnetic flux Φ by changing the geometric dimensions of the core and the magnetic permeability of the material when the current I is known;

[0091] Build a current measurement system, convert current signals into voltage signals and perform data acquisition;

[0092] V out = k·I

[0093] Where V out is the output voltage of the current transformer, which is the voltage signal sensed by the current transformer according to the input current; k is the proportionality coefficient, which is closely related to the design parameters of the current transformer, including magnetic permeability, core shape, winding method, etc. The proportionality coefficient reflects the proportional relationship between the current and voltage output; I is the input current, and I is the current value sensed in the current transformer; the above formula shows that there is a certain proportional relationship between the voltage and current generated by the current transformer induced current, and this proportionality coefficient k is a key parameter for design and calibration;

[0094] Calibrate the current transformer to ensure that its output is consistent with the expected current signal;

[0095] V out =k cal I std

[0096] where k cal is the calibration scale factor, k cal The output voltage is obtained by experimental calibration to ensure that the output voltage is consistent with the standard current source I std The relationship between the std is the standard current, I std is a known value used to calibrate the accuracy of the current transformer; the above formula shows that through the known standard current source I std The output voltage of the current transformer is measured to calibrate the proportional relationship between the output voltage and the input current of the transformer.

[0097] Test the magnetic permeability and saturation magnetic induction intensity of nanocrystalline ribbons at different operating frequencies;

[0098]

[0099] Where μ(f) is the relative magnetic permeability under frequency response, which is used to reflect the magnetic permeability performance of the material at different frequencies; μ0 is the vacuum magnetic permeability, which is a constant representing the magnetic permeability of the vacuum; μ r is the relative magnetic permeability, which indicates the ratio of the magnetic permeability of the material to the magnetic permeability of the vacuum, and is usually determined by the physical properties of the material; f is the current excitation frequency, and the operating frequency affects the performance of the current transformer, especially at high frequencies, the magnetic permeability of the material will change; f cis the critical frequency of the material, indicating the critical point at which the magnetic permeability of the material begins to drop significantly at high frequencies; j is an imaginary unit used to represent the phase delay in the frequency response; the above formula describes how the relative magnetic permeability changes with frequency, revealing the attenuation behavior of the magnetic permeability performance of the material at high frequencies.

[0100] Monitor the output signal of the current transformer through a real-time data acquisition system; use fast Fourier transform (FFT) to analyze the frequency components of the output signal of the current transformer;

[0101]

[0102] Where I(t) is the real-time current value, which means the current measured by the current transformer; V(t) is the real-time output voltage, i.e. the output voltage signal of the current transformer; k cal is the calibration proportionality factor, which reflects the conversion relationship between current and voltage. The above formula shows that according to the real-time measured output voltage V(t) and the known proportionality coefficient k cal , the real-time current I(t) can be calculated;

[0103] Where X(f) is the representation of the time domain signal x(t) in the frequency domain, which represents the distribution of the signal at different frequencies; x(t) is the time domain signal, that is, the output signal of the current transformer observed in the time domain; f is the frequency, which is used to represent the signal component in the frequency analysis; t is the time, which is used to represent the time parameter of the signal change; j is the imaginary unit, which represents the phase information in the frequency domain; e -j2πft represents the complex exponential function. The complex exponential term is the core of Fourier transform. It represents the projection component of the signal at frequency f and is used to extract the contribution of the signal at different frequencies. The above formula converts the time domain signal to the frequency domain through Fourier transform in order to analyze the contribution of different frequency components.

[0104] Evaluate the magnetic stability of nanocrystalline ribbons during long-term use;

[0105] μ eff (t) = μ max e -αt

[0106] where μ eff (t) is the effective magnetic permeability at time t, which is used to indicate the change of magnetic permeability of the material at different times; μ max is the maximum magnetic permeability of the material, that is, the magnetic permeability of the material in the initial stage before attenuation; α is the attenuation coefficient, which indicates the rate at which the magnetic permeability decays over time; t indicates the time the material has been used. The above formula describes the behavior of the material's magnetic permeability decaying over time, and is used to evaluate the material's magnetic stability during long-term use.

[0107] Optimize the performance of current transformers through data analysis;

[0108] J = ∫0 T (|I meas (t)-I ideal (t)| 2 )dt

[0109] Where J is the optimization objective function, that is, the sum of squares of errors, which represents the total error in the optimization process; I meas (t) is the measured current value; I ideal (t) is the ideal current value, that is, the current under ideal conditions; t in formula J represents the time dependence of the measurement process; the above formula is calculated by the actual current I meas (t) and the ideal current I ideal (t) to optimize the design and performance of the current transformer.

[0110] Dynamically optimize the shape and design parameters of the core based on measurement and evaluation results;

[0111] The core shape is selected based on flux uniformity and leakage inductance minimization;

[0112]

[0113] where η shape is the shape optimization index. The higher the value, the more uniform the magnetic flux distribution and the smaller the leakage inductance. B is the magnetic flux density vector, which is used to describe the magnetic field distribution in the magnetic core. V core is the volume of the magnetic core, that is, the geometric boundary of the magnetic core; B leak is the leakage flux density vector, which is used to describe the leakage magnetic field outside the core boundary; A leak is the area of ​​the magnetic leakage region; n is the unit normal vector of the boundary of the magnetic leakage region; B represents the divergence of magnetic flux density, which is used to measure the uniformity of the magnetic field. The above formula shows that by comparing the uniformity of magnetic flux and the amount of magnetic leakage in the core, the advantages and disadvantages of the three shapes can be evaluated. The three shapes are ring, rectangle, and C. The specific shape to be selected depends on η. shape The higher the value, the better the uniformity of magnetic flux distribution and the smaller the leakage flux.

[0114] Design parameter optimization is based on minimizing losses and maximizing permeability. Design parameters are optimized through the following objective functions, including size, winding method, etc.

[0115]

[0116] where Δ design It is the design parameter optimization index. The lower the value, the better, indicating that the loss is small and the magnetic permeability is high. loss is the core loss, P lossIncluding iron loss and eddy current loss; k h is the hysteresis loss coefficient; k e is the eddy current loss coefficient; f is the operating frequency; B max is the peak value of magnetic induction intensity; μ eff is the effective magnetic permeability of the core, which is related to the material and size of the core. The above formula combines the performance indicators of loss and magnetic permeability. By adjusting the design parameters of the core, the loss P can be minimized. loss and maximize the magnetic permeability μ eff ; Design parameters may include the cross-sectional area A of the core, the number of winding turns N, and the length l of the core.

[0117] The method for dynamically optimizing the magnetic core according to the measurement and evaluation results also includes size optimization, which is based on target parameter constraints;

[0118]

[0119] Where L opt is the optimized inductance value, which is an important indicator of the magnetic core's inductive capacity; μ0 is the vacuum permeability; μ r is the relative magnetic permeability, μ r Related to material properties; N is the number of winding turns; A opt is the optimized cross-sectional area; l opt is the optimized core length; when optimizing the core size, the cross-sectional area A opt and length l opt It needs to be adjusted according to the specific design goals. For example, increasing the cross-sectional area can improve the magnetic induction capacity, but will increase the weight and volume, while reducing the core length will reduce the loss but may affect the magnetic saturation characteristics;

[0120] What needs to be explained about the above scheme is that;

[0121] Shape selection: by optimizing the index η shape Select the core shape, ring, rectangle or C;

[0122] Parameter adjustment: Adjust the core design parameters by minimizing losses and maximizing permeability;

[0123] Size optimization: By adjusting the size parameters, the requirements of inductance value and sensing capability can be met.

[0124] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A precision current transformer measurement and data analysis method, characterized in that: include: Step 1: Design the current transformer and select the required nanocrystalline ribbon When designing a current transformer, nanocrystalline ribbon is selected as the core material, and the shapes of the core material include ring, rectangle, and C-shape; Step 2: Build the current measurement system Build a current measurement system, which includes a high-frequency current source, a precision current transformer, a signal acquisition device, and a data processing platform. During the measurement process, the precision current transformer will be placed in the measurement loop to sense the current change and convert it into a voltage signal proportional to the current. The signal acquisition device is used to capture the high-frequency current waveform. The high-frequency current source is used to provide a high-frequency current signal for the current measurement system. The data processing platform is used to analyze the collected voltage signals, convert them into current data, and display and store them in real time; Step 3: Preliminary calibration of the current transformer Before the actual measurement, the current transformer is calibrated preliminarily; the output signal of the current transformer is measured through a preset standard current source and compared with the theoretical value; the output proportional coefficient of the current transformer is adjusted according to the measurement result; The calibration process includes calibration of load conditions, frequency range, and current amplitude range; Step 4: Perform dynamic magnetic performance test Before the current transformer is put into use, a dynamic magnetic performance test is carried out; the dynamic magnetic performance test includes evaluating the magnetic permeability and saturation magnetic induction intensity of the nanocrystalline strip at different operating frequencies; by performing a frequency response test on the current transformer, its magnetic behavior data at different frequencies is obtained.

2. A precision current transformer measurement and data analysis method according to claim 1, characterized in that: Also includes steps 5 and 6; Step 5: Real-time monitoring of current and signal output After the current transformer is put into use, the signal output of the current transformer is monitored, and the collected voltage signal is used to reflect the magnitude and change of the current, and is calculated and displayed in real time through the data processing platform; Step 6: Frequency response analysis and data decoding The output signal is decoded by frequency response analysis, and the frequency spectrum of the output signal of the current transformer is analyzed by fast Fourier transform (FFT) method to identify the frequency components in the signal.

3. A precision current transformer measurement and data analysis method according to claim 2, characterized in that: Also includes steps 7 and 8; Step 7: Evaluate the magnetic stability of the nanocrystalline ribbon The magnetic stability of nanocrystalline strips is evaluated through a deep evaluation model; the deep evaluation model evaluates the changing trends of its magnetic permeability, coercivity, and remanence based on time and environmental factors; Step 8: Data Analysis and Optimization Through comprehensive analysis of the tested data, the performance of the current transformer is deeply evaluated; based on the collected data, a mathematical model is established to optimize the dynamic response, linearity and accuracy of the transformer.

4. A precision current transformer measurement and data analysis method according to claim 3, characterized in that: Also includes step 9; Step 9: Optimization of core shape and design parameters Based on the in-depth evaluation results, the shape and design parameters of the current transformer core are dynamically adjusted. The shapes of the core include ring, rectangle, and C shape; the design parameters of the core include size, winding method, and material properties.

5. A precision current transformer measurement and data analysis method according to claim 4, characterized in that: When designing current transformers, calculate the relationship between magnetic flux and permeability of nanocrystalline ribbons as core materials; Where Φ is the magnetic flux; μ0 is the vacuum permeability; μ r is the relative magnetic permeability; the magnetic permeability of nanocrystalline ribbon is relatively high, so it can effectively improve the performance of the mutual inductor; A is the cross-sectional area of ​​the magnetic core; I is the current; l is the length of the magnetic core; Build a current measurement system, convert current signals into voltage signals and perform data acquisition; V out =k·I Where V out is the output voltage of the current transformer; k is the proportional coefficient; I is the input current; Calibrate the current transformer to ensure that its output is consistent with the expected current signal; V out =k cal ·I std where k cal is the calibration scale factor; I std is the standard current.

6. A precision current transformer measurement and data analysis method according to claim 5, characterized in that: Test the magnetic permeability and saturation magnetic induction intensity of nanocrystalline ribbons at different operating frequencies; Where μ(f) is the relative magnetic permeability under frequency response; μ0 is the magnetic permeability of vacuum; μ r is the relative magnetic permeability; f is the current excitation frequency; f c is the critical frequency of the material; j is an imaginary unit.

7. A precision current transformer measurement and data analysis method according to claim 6, characterized in that: Monitor the output signal of the current transformer through a real-time data acquisition system; use fast Fourier transform (FFT) to analyze the frequency components of the output signal of the current transformer; Where I(t) is the real-time current value; V(t) is the real-time output voltage; k cal is the calibration scale factor; Where X(f) is the representation of the time domain signal x(t) in the frequency domain; x(t) is the time domain signal; f is the frequency; t is the time; and j is the imaginary unit.

8. A precision current transformer measurement and data analysis method according to claim 7, characterized in that: Evaluate the magnetic stability of nanocrystalline ribbons during long-term use; m eff (t)=μ max e -αt where μ eff (t) is the effective magnetic permeability at time t; μ max is the maximum magnetic permeability of the material; α is the attenuation coefficient; t represents the usage time of the material; Optimize the performance of current transformers through data analysis; J=∫0 T (|I meas (t)-I ideal (t)| 2 )dt Where J is the optimization objective function; I meas (t) is the measured current value; I ideal (t) is the ideal current value; t represents the time dependence of the measurement process; The above formula calculates the actual current I meas (t) and the ideal current I ideal (t) to optimize the design and performance of the current transformer.

9. A precision current transformer measurement and data analysis method according to claim 8, characterized in that: Dynamically optimize the shape and design parameters of the core based on measurement and evaluation results; The core shape is selected based on flux uniformity and leakage inductance minimization; where η shape is the shape optimization index; B is the magnetic flux density vector; V core is the volume of the magnetic core; B leak is the leakage flux density vector; A leak is the area of ​​the magnetic leakage region; n is the unit normal vector of the boundary of the magnetic leakage region; It represents the divergence of magnetic flux density and is used to measure the uniformity of the magnetic field; Design parameter optimization is based on loss minimization and permeability maximization; Where Δ design is the design parameter optimization index; loss is the core loss, P loss Including iron loss and eddy current loss; k h is the hysteresis loss coefficient; k e is the eddy current loss coefficient; f is the operating frequency; B max is the peak value of magnetic induction intensity; μ eff is the effective permeability of the core; the above formula combines the performance indicators of loss and permeability. By adjusting the design parameters of the core, the loss P can be minimized. loss and maximize the magnetic permeability μ eff .

10. A precision current transformer measurement and data analysis method according to claim 9, characterized in that: The method for dynamically optimizing the magnetic core according to the measurement and evaluation results also includes size optimization, which is based on target parameter constraints; Where L opt is the optimized inductance value, which is an important indicator of the magnetic core's inductive capacity; μ0 is the vacuum permeability; μ r is the relative magnetic permeability; N is the number of winding turns; A opt is the optimized cross-sectional area; l opt is the optimized core length.

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