An intelligent compensation type large current measurement and calibration system and method

Abstract

The present invention discloses an intelligent compensated high-current measurement and calibration system and method. The system includes a mutual inductance sampling module, a signal filtering and processing module, a signal enhancement module, a compensation module, a hysteresis compensation module, an error calculation and calibration module, and a final output module. Through mutual inductance sampling, signal filtering, multi-tap weighted enhancement, adaptive compensation, and segmented calibration, the present invention achieves high-precision dynamic measurement and error correction of high-current signals. This addresses existing high-current measurement methods, which lack an effective compensation mechanism, inadequate hysteresis compensation accuracy, and poor range division and dynamic adaptability of error compensation.

Description

Technical Field

[0001] The present invention belongs to the technical field of large current measurement and calibration, and in particular relates to an intelligent compensation type large current measurement and calibration system and method. Background Art

[0002] With the rapid development of industrial automation and power systems, accurate high-current measurement has become a key technical requirement for electrical equipment monitoring, fault diagnosis, and system optimization. In particular, achieving efficient and accurate current measurement and calibration in high-current systems to avoid equipment damage, performance degradation, or safety incidents caused by system errors is a pressing technical challenge.

[0003] Traditional measurement methods often struggle to guarantee accuracy and reliability due to factors such as frequent current fluctuations, system nonlinearities, and sensor hysteresis. These issues not only restrict stable equipment operation but also pose severe challenges to real-time monitoring and fault diagnosis. Furthermore, with the increasing complexity and intelligence of power equipment, traditional measurement methods based on analog processing and static compensation are no longer able to dynamically adapt to current fluctuations under varying operating conditions. There is an urgent need to develop measurement systems with high precision and real-time response capabilities.

[0004] Specifically, existing high current measurement technologies have the following main problems:

[0005] 1. Lack of effective compensation mechanism, especially lack of effective compensation for nonlinear distortion, change rate and hysteresis effect of current signal.

[0006] 2. Existing methods are difficult to accurately correct hardware and sensor response delays, and the hysteresis compensation accuracy is insufficient, which significantly affects the measurement results.

[0007] 3. The range division and error compensation of current signals mostly rely on static models or preset standards, and cannot adjust parameters according to real-time data. They have poor dynamic adaptability and cannot meet the stringent requirements of modern measurement systems for accuracy, real-time performance, and stability. Summary of the Invention

[0008] The present invention proposes an intelligent compensation type large current measurement and calibration system and method, which aims to solve the problems of the existing large current measurement method, such as lack of effective compensation mechanism, insufficient hysteresis compensation accuracy, poor dynamic adaptability of range division and error compensation.

[0009] The technical solutions of the present invention are as follows:

[0010] An intelligent compensation type large current measurement and calibration system includes a mutual inductance sampling module, a signal filtering and processing module, a signal enhancement module, a compensation module, a hysteresis compensation module, an error calculation and calibration module and a final output module;

[0011] The mutual inductance sampling module is used to convert the high current signal into a low voltage analog signal, and then periodically samples the low voltage analog signal according to the set sampling frequency, converts the low voltage analog signal into the original current signal, and then transmits the original current signal to the signal filtering and processing module, the hysteresis compensation module, and the error calculation and calibration module;

[0012] The signal filtering processing module is used to filter the original current signal and output the filtered signal to the signal enhancement module;

[0013] The signal enhancement module is used to perform multi-tap weighted processing on the filtered current signal and output the enhanced current signal to the compensation module, the hysteresis compensation module and the final output module;

[0014] The compensation module is used to dynamically compensate the enhanced current signal according to the change rate, amplitude and historical data of the current signal through an adaptive compensation algorithm, and send the obtained compensation item to the final output module;

[0015] The hysteresis compensation module is used to perform error compensation by calculating the difference between the original current signal and the enhanced current signal, and output the hysteresis compensation term to the final output module;

[0016] The error calculation and calibration module is used to calculate the error between the original current signal and the standard current signal, adjust the compensation coefficient according to the measurement error term, perform independent error correction in each range interval, and output the measurement error term to the final output module;

[0017] The final output module is used to calibrate the enhanced current signal using the compensation term, the hysteresis compensation term and the measurement error term to obtain a final current value.

[0018] The present invention also provides an intelligent compensation type large current measurement and calibration method, comprising the following steps:

[0019] Step S1: The mutual inductance sampling module samples the large current signal in real time to obtain the original current signal;

[0020] Step S2: inputting the original current signal into the signal filtering processing module to obtain a filtered current signal;

[0021] Step S3: The signal enhancement module performs multi-tap weighted processing on the filtered current signal to enhance its effective information, thereby obtaining an enhanced current signal;

[0022] Step S4: inputting the enhanced current signal into the compensation module to obtain a compensation term;

[0023] Step S5: inputting the original current signal and the enhanced current signal into a hysteresis compensation module, correcting the difference between the original current signal and the enhanced current signal through a hysteresis compensation algorithm, correcting the hysteresis effect, and obtaining a hysteresis compensation term;

[0024] Step S6: inputting the original current signal into the error calculation and calibration module to obtain a measurement error term;

[0025] Step S7: In the final output module, the enhanced current signal is calibrated using the compensation term, the hysteresis compensation term, and the measurement error term to obtain a final current value.

[0026] As a further improvement of the intelligent compensation type large current measurement and calibration method, the filtering processing formula of the filtering processing module is:

[0027] ;

[0028] in, is the filtered current signal; is the original current signal, indicating that The current value measured at the moment; is the filter coefficient, which is used to control the suppression effect of low-frequency components; is the integration variable.

[0029] As a further improvement of the intelligent compensation type large current measurement and calibration method, in step S3, the enhanced current signal is expressed as:

[0030] ;

[0031] in, is the enhanced current signal, indicating the signal after multi-tap weighted processing; for The filtered current signal corresponding to the moment; is the weighting coefficient of each tap, which is used to control the contribution of each time point to the final enhanced signal; is the number of taps, indicating how many time steps of historical data are used for weighted accumulation; is an integer index, the number of steps of the time offset; is the sampling time interval.

[0032] As a further improvement to the intelligent compensation-type large current measurement and calibration method, in step S4, the calculation formula of the compensation term is as follows:

[0033] ;

[0034] in, is the compensation term, indicating that The compensation value applied at the moment; 、 、 is the adaptive compensation coefficient, The effect of the rate of change of the adjustment signal on the compensation, The effect of adjusting the signal amplitude, Compensate for nonlinear effects based on the integral value of historical data; is the enhanced current signal The rate of change indicates the instantaneous change speed of the current signal; It is the historical integral of the enhanced current signal, which represents the cumulative change of the current signal in the past.

[0035] As a further improvement of the intelligent compensation-type large current measurement and calibration method, in step S5, the calculation formula of the hysteresis compensation term is:

[0036] ;

[0037] in, is the hysteresis compensation term, which indicates the error compensation caused by the system response hysteresis; is the hysteresis compensation coefficient; yes The original current signal at the moment, yes The enhanced current signal at that moment.

[0038] As a further improvement of the intelligent compensation-type large current measurement and calibration method, in step S6, the error calculation and calibration module adopts a segmented calibration method to optimize the measurement accuracy within each current range through range division and feedback mechanism.

[0039] As a further improvement of the intelligent compensation-type large current measurement and calibration method, in step S6, the current measurement range is first divided into multiple intervals according to the characteristics of the current signal, each interval represents the current range in which the system can work stably; and each interval is calibrated independently.

[0040] As a further improvement of the intelligent compensation high current measurement and calibration method, the segmented calibration process in step S6 includes the following sub-steps:

[0041] Step S6-1, range division: first, the measurement range of the current signal is divided into multiple intervals, and the current signal change characteristics in each interval are relatively consistent;

[0042] Step S6-2, error calculation and compensation: Calculate the measurement error in the interval where the original current signal is located to obtain a measurement error term, and use the measurement error term to adjust the compensation coefficient;

[0043] The measurement error term is calculated as:

[0044] ;

[0045] in, is the measurement error term, which represents the difference between the original current signal and the standard current signal; yes The standard current signal of the interval corresponding to the original current signal at the moment is provided by the standard current source and is used to compare the measurement results; yes The original current signal at the moment; is a weighting factor used to control the response speed of error compensation;

[0046] Step S6-3, compensation coefficient adjustment: the compensation coefficient is adjusted according to the measurement error term to minimize the measurement error in each range interval; the adjustment of the compensation coefficient is based on the feedback mechanism to ensure that the accuracy of each interval meets the predetermined standard; the adjusted compensation coefficient includes the adaptive compensation coefficient in the compensation module and the hysteresis compensation coefficient in the hysteresis compensation module.

[0047] As a further improvement of the intelligent compensation type large current measurement and calibration method, in step S7, the final current value calculation formula is:

[0048] ;

[0049] in, is the final output current measurement result, yes The enhanced current signal at the moment, is a compensation item, is the hysteresis compensation term, is the measurement error term.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] 1. The measurement and calibration system of the present invention can perform adaptive compensation based on the change rate, amplitude and historical data of the current signal, dynamically adjust the compensation coefficient, effectively correct errors caused by nonlinear distortion, range switching and environmental factors, improve the accuracy of the system within different current ranges, and enable the system to provide more stable and accurate current measurement results.

[0052] 2. The present invention corrects the measurement error through the hysteresis compensation algorithm, ensuring that the system can accurately track the current change when the large current signal changes rapidly, thereby improving the real-time performance and measurement response speed.

[0053] 3. The present invention divides the current measurement range into multiple intervals, and independently calibrates the current signal characteristics in different intervals, so that the measurement error in each interval can be effectively compensated, avoiding the accuracy loss caused by measurement error under different ranges, improving dynamic usage capability, and being able to provide continuous, stable, and high-precision measurement results under each current range, thereby improving the reliability and accuracy of the overall system and adapting to different application requirements.

[0054] 4. The present invention combines an adaptive compensation mechanism with a hysteresis compensation algorithm, enabling dynamic adjustments based on the current variation characteristics in actual application scenarios, ensuring that the system consistently provides accurate and stable current measurements under various environmental conditions. This approach not only improves current measurement accuracy but also increases adaptability to complex current signals, effectively handling signal fluctuations caused by rapid and large current variations or environmental noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 Schematic diagram of the intelligent compensation type large current measurement and calibration system of the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is described in detail below with reference to the accompanying drawings: Example 1

[0057] like Figure 1 This embodiment provides an intelligent compensation type large current measurement and calibration system, which includes the following parts:

[0058] Mutual inductance sampling module, signal filtering and processing module, signal enhancement module, compensation module, hysteresis compensation module, error calculation and calibration module and final output module.

[0059] in:

[0060] The mutual inductance sampling module is used to convert the high current signal into a low voltage analog signal, and then periodically samples the low voltage analog signal according to the set sampling frequency, converts the low voltage analog signal into the original current signal, and then transmits the original current signal to the signal filtering and processing module, the lag compensation module, and the error calculation and calibration module.

[0061] The signal filtering processing module is used to filter the original current signal using a denoising algorithm and a filtering algorithm to remove low-frequency noise and DC components, and output the filtered signal to the signal enhancement module.

[0062] The signal enhancement module is used to perform multi-tap weighted processing on the filtered current signal to enhance the effective information of the signal, reduce noise interference, and output the enhanced current signal to the compensation module, hysteresis compensation module and final output module.

[0063] The compensation module is used to dynamically compensate the enhanced current signal according to the change rate, amplitude and historical data of the current signal through an adaptive compensation algorithm, thereby realizing dynamic adjustment of the measurement error, and the obtained compensation item is sent to the final output module.

[0064] The hysteresis compensation module is used to compensate for the hysteresis effect of the system by calculating the difference between the original current signal and the enhanced current signal, and outputting the hysteresis compensation term to the final output module.

[0065] The error calculation and calibration module is used to calculate the error between the original current signal and the standard current signal, adjust the compensation coefficient according to the measurement error term, perform independent error correction in each range interval, and output the measurement error term to the final output module.

[0066] The final output module is used to calibrate the enhanced current signal using the compensation term, the hysteresis compensation term and the measurement error term to obtain a final current value. Example 2

[0067] This embodiment provides an intelligent compensation type large current measurement and calibration method. The method is based on the intelligent compensation type large current measurement and calibration system in the first embodiment and specifically includes the following steps:

[0068] Step S1: The mutual inductance sampling module samples the large current signal in real time to obtain the original current signal.

[0069] Current transformers are core components in current measurement systems, converting high current signals into low-voltage analog signals, enabling subsequent measurement and processing to be performed within a safe and accurate voltage range.

[0070] The low-voltage analog signal is fed into a sampling circuit, which periodically samples it at a set sampling frequency. This frequency is optimized based on the frequency characteristics of current changes and the system's real-time response capabilities. The sampled signal is converted to a digital signal via an analog-to-digital converter (ADC), which serves as the original current signal.

[0071] Step S2: input the original current signal into the signal filtering processing module to obtain a filtered current signal.

[0072] The filtering processing module uses denoising algorithms, filtering algorithms and other means to remove the impact of external electromagnetic interference or internal noise in the system to ensure the accuracy and reliability of the data.

[0073] The formula for filtering processing by the filtering processing module is:

[0074] ;

[0075] in, The current signal is filtered. The purpose of filtering is to remove low-frequency noise and DC components from the original current signal. is the original current signal, which represents the current value measured at time t; is the filter coefficient, which is used to control the suppression effect of low-frequency components. This coefficient is determined through experiments and is usually related to the bandwidth requirements and noise characteristics of the system; is the integration variable.

[0076] Step S3: The signal enhancement module performs multi-tap weighted processing on the filtered current signal to enhance its effective information, thereby obtaining an enhanced current signal.

[0077] When performing signal enhancement, the filtered current signal is delayed in the time domain. Each tap will collect a delayed version of the signal, and the filtered current signal is weighted and summed using appropriate weighting coefficients to enhance the useful part of the signal while reducing the impact of noise. This can not only effectively improve the signal quality, but also avoid the loss of signals in certain frequency bands.

[0078] The enhanced current signal is expressed as:

[0079] ;

[0080] in, is the enhanced current signal, indicating the signal after multi-tap weighted processing; is the weighting coefficient of each tap, which is used to control the contribution of each time point to the final enhanced signal; is the number of taps, indicating how many time steps of historical data are used for weighted accumulation; is an integer index, the number of steps of the time offset; is the sampling time interval.

[0081] The purpose of signal enhancement is to reduce the interference of noise on measurement accuracy, improve signal quality, and provide clearer input for subsequent compensation and analysis.

[0082] Step S4: input the enhanced current signal into the compensation module to obtain a compensation term.

[0083] Because current signals exhibit varying degrees of nonlinear distortion across different measurement ranges, an intelligent adaptive compensation algorithm is used to compensate for the enhanced current signal, ensuring the system maintains high accuracy across all measurement ranges. This compensation process primarily considers factors such as the signal's rate of change, amplitude, and historical data, enabling dynamic adjustment of measurement errors. The current signal's rate of change reflects the rate of current change, the amplitude reflects the signal's strength, and historical data helps eliminate hysteresis caused by current fluctuations.

[0084] The calculation formula of the compensation term is as follows:

[0085] ;

[0086] in, is the compensation term, which represents the compensation value applied at time t, in order to eliminate the error caused by range switching, system nonlinearity or environmental factors; 、 、 is the adaptive compensation coefficient, The effect of the rate of change of the adjustment signal on the compensation, The effect of adjusting the signal amplitude, The nonlinear effect is compensated based on the integral value of historical data. The value of each adaptive compensation coefficient is obtained through experiments and adjusted according to different current ranges. is the rate of change of the enhanced current signal, which indicates the instantaneous change speed of the current signal; It is the historical integral of the enhanced current signal, which represents the cumulative change of the current signal in the past.

[0087] Step S5: Input the original current signal and the enhanced current signal into a hysteresis compensation module, and use a hysteresis compensation algorithm to correct the difference between the original current signal and the enhanced current signal, correct the hysteresis effect, and obtain a hysteresis compensation term.

[0088] Due to the physical characteristics of hardware and sensors, there is often a hysteresis effect between the original current signal and the enhanced current signal. This hysteresis effect refers to a time delay in the system's response, typically caused by the response speed of the signal processing circuit, the inertia of the sensor itself, and the nonlinear characteristics of the current when it changes suddenly. The hysteresis effect is particularly pronounced when the large current signal changes rapidly, causing the measurement result to have a time deviation compared to the actual signal. Therefore, during the current signal calibration process, compensation for this hysteresis effect is necessary to ensure the accuracy of the measurement results.

[0089] To address the hysteresis effect, this method uses a hysteresis compensation algorithm to correct the measurement error by calculating the difference between the original current signal and the enhanced current signal. The hysteresis compensation term is composed of the error integral, and the calculation formula is:

[0090] ;

[0091] in, is the hysteresis compensation term, which indicates the error compensation caused by the system response hysteresis; It is the hysteresis compensation coefficient, which is adjusted based on the test results of different current ranges to ensure that the hysteresis effect is effectively corrected.

[0092] The purpose of hysteresis compensation is to eliminate the influence of hardware response hysteresis on the measurement results, so that the system can accurately reflect the changes in current.

[0093] Step S6: input the original current signal into the error calculation and calibration module to obtain a measurement error term.

[0094] The error calculation and calibration module adopts a segmented calibration method to optimize the measurement accuracy within each current range through range division and feedback mechanism.

[0095] Specifically, the current measurement range is divided into multiple intervals based on the characteristics of the current signal. Each interval represents the current range within which the system can operate stably. Within each interval, the current variation characteristics are relatively consistent, so calibration can be performed within this interval to improve measurement accuracy. Segmented calibration independently corrects measurement errors within different current ranges to optimize measurement accuracy for each range.

[0096] The segmented calibration process can be divided into the following sub-steps:

[0097] Step S6-1, range division: first, the measurement range of the current signal is divided into multiple intervals, and the current signal change characteristics in each interval are relatively consistent.

[0098] Step S6-2, error calculation and compensation: Calculate the measurement error in the interval where the original current signal is located to obtain a measurement error term, and use the measurement error term to adjust the compensation coefficient.

[0099] The measurement error term is calculated as:

[0100] ;

[0101] in, is the measurement error term, which represents the difference between the original current signal and the standard current signal; It is the standard current signal of the corresponding interval, provided by the standard current source, and is used to compare the measurement results; is the original current signal; is a weighting factor used to control the response speed of error compensation.

[0102] This step compares the standard current signal and the actual measured current signal The system continuously adjusts the compensation coefficient through the error feedback mechanism to reduce the measurement error within each range.

[0103] Step S6-3, compensation coefficient adjustment: The compensation coefficient is adjusted according to the measurement error term to minimize the measurement error in each range interval. The adjustment of the compensation coefficient is based on the feedback mechanism to ensure that the accuracy of each interval meets the predetermined standard. The compensation coefficients adjusted here include the adaptive compensation coefficient in the compensation module and the hysteresis compensation coefficient in the hysteresis compensation module. After the compensation coefficient is adjusted, the previous error will be corrected according to the new compensation coefficient. The adjusted compensation coefficient will make the previously calculated compensation term and hysteresis compensation More precise.

[0104] The entire segmented calibration process is adaptively adjusted through a feedback mechanism. The system continuously optimizes the compensation coefficient based on real-time measurement results and error information to ensure that the current measurement error in each range always remains within the predetermined accuracy range.

[0105] Step S7: In the final output module, the enhanced current signal is calibrated using the compensation term, the hysteresis compensation term, and the measurement error term to obtain a final current value.

[0106] The final current value is calculated as follows:

[0107] ;

[0108] in, is the final output current measurement result.

[0109] Through segmented calibration and dynamic compensation, the system can provide current measurement within the current range of 1A to 720A, ensuring that the error is always kept within 0.05%, providing highly accurate and stable current measurement results.

[0110] It should be noted that it is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. The scope of the present invention is defined by the claims rather than the foregoing description.

Claims

1. An intelligent compensation type large current measurement and calibration method, characterized in that: The following steps are involved: Step S1: The mutual inductance sampling module samples the large current signal in real time to obtain the original current signal; Step S2: inputting the original current signal into the signal filtering processing module to obtain a filtered current signal; Step S3: The signal enhancement module performs multi-tap weighted processing on the filtered current signal to enhance its effective information, thereby obtaining an enhanced current signal; In step S3, the enhanced current signal is expressed as: ； in, is the enhanced current signal, indicating the signal after multi-tap weighted processing; for The filtered current signal corresponding to the moment; is the weighting coefficient of each tap, which is used to control the contribution of each time point to the final enhanced signal; is the number of taps, indicating how many time steps of historical data are used for weighted accumulation; is an integer index, the number of steps of the time offset; is the sampling time interval; Step S4: inputting the enhanced current signal into the compensation module to obtain a compensation term; In step S4, the calculation formula of the compensation term is as follows: ； in, is the compensation term, indicating that The compensation value applied at the moment; 、 、 is the adaptive compensation coefficient, The effect of the rate of change of the adjustment signal on the compensation, The effect of adjusting the signal amplitude, Compensate for nonlinear effects based on the integral value of historical data; is the enhanced current signal The rate of change indicates the instantaneous change speed of the current signal; It is the historical integral of the enhanced current signal, indicating the cumulative change of the current signal in the past moments; Step S5: inputting the original current signal and the enhanced current signal into a hysteresis compensation module, correcting the difference between the original current signal and the enhanced current signal through a hysteresis compensation algorithm, correcting the hysteresis effect, and obtaining a hysteresis compensation term; In step S5, the calculation formula of the hysteresis compensation term is: ； in, is the hysteresis compensation term, which indicates the error compensation caused by the system response hysteresis; is the hysteresis compensation coefficient; yes The original current signal at the moment, yes The enhanced current signal at the moment; Step S6: inputting the original current signal into the error calculation and calibration module to obtain a measurement error term; Step S7: In the final output module, the enhanced current signal is calibrated using the compensation term, the hysteresis compensation term, and the measurement error term to obtain a final current value.

2. The intelligent compensation type large current measurement and calibration method according to claim 1, characterized in that: The formula for filtering processing by the filtering processing module is: ； in, is the filtered current signal; is the original current signal, indicating that The current value measured at the moment; is the filter coefficient, which is used to control the suppression effect of low-frequency components; is the integration variable.

3. The intelligent compensation type large current measurement and calibration method according to claim 1, characterized in that: In step S6, the error calculation and calibration module adopts a segmented calibration method to optimize the measurement accuracy within each current range through range division and feedback mechanism.

4. The intelligent compensation type large current measurement and calibration method according to claim 3, characterized in that: In step S6, the current measurement range is first divided into multiple intervals according to the characteristics of the current signal, each interval represents the current range in which the system can operate stably; each interval is calibrated independently.

5. The intelligent compensation type large current measurement and calibration method according to claim 3 or 4, characterized in that: The segmented calibration process in step S6 includes the following sub-steps: Step S6-1, range division: first, the measurement range of the current signal is divided into multiple intervals, and the current signal change characteristics in each interval are relatively consistent; Step S6-2, error calculation and compensation: Calculate the measurement error in the interval where the original current signal is located to obtain a measurement error term, and use the measurement error term to adjust the compensation coefficient; The measurement error term is calculated as: ； in, is the measurement error term, which represents the difference between the original current signal and the standard current signal; yes The standard current signal of the interval corresponding to the original current signal at the moment is provided by the standard current source and is used to compare the measurement results; yes The original current signal at the moment; is a weighting factor used to control the response speed of error compensation; Step S6-3, compensation coefficient adjustment: the compensation coefficient is adjusted according to the measurement error term to minimize the measurement error in each range interval; the adjustment of the compensation coefficient is based on the feedback mechanism to ensure that the accuracy of each interval meets the predetermined standard; the adjusted compensation coefficient includes the adaptive compensation coefficient in the compensation module and the hysteresis compensation coefficient in the hysteresis compensation module.

6. The intelligent compensation type large current measurement and calibration method according to claim 1, characterized in that: In step S7, the final current value is calculated as follows: ； in, is the final output current measurement result, yes The enhanced current signal at the moment, is a compensation item, is the hysteresis compensation term, is the measurement error term.

7. An intelligent compensation type large current measurement and calibration system based on the intelligent compensation type large current measurement and calibration method according to claim 1, characterized in that: It includes mutual inductance sampling module, signal filtering and processing module, signal enhancement module, compensation module, hysteresis compensation module, error calculation and calibration module and final output module; The mutual inductance sampling module is used to convert the high current signal into a low voltage analog signal, and then periodically samples the low voltage analog signal according to the set sampling frequency, converts the low voltage analog signal into the original current signal, and then transmits the original current signal to the signal filtering and processing module, the hysteresis compensation module, and the error calculation and calibration module; The signal filtering processing module is used to filter the original current signal and output the filtered signal to the signal enhancement module; The signal enhancement module is used to perform multi-tap weighted processing on the filtered current signal and output the enhanced current signal to the compensation module, the hysteresis compensation module and the final output module; The compensation module is used to dynamically compensate the enhanced current signal according to the change rate, amplitude and historical data of the current signal through an adaptive compensation algorithm, and send the obtained compensation item to the final output module; The hysteresis compensation module is used to perform error compensation by calculating the difference between the original current signal and the enhanced current signal, and output the hysteresis compensation term to the final output module; The error calculation and calibration module is used to calculate the error between the original current signal and the standard current signal, adjust the compensation coefficient according to the measurement error term, perform independent error correction in each range interval, and output the measurement error term to the final output module; The final output module is used to calibrate the enhanced current signal using the compensation term, the hysteresis compensation term and the measurement error term to obtain a final current value.

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