Remote current transformer calibration system

Abstract

The invention relates to the technical field of transformer calibration, in particular to a remote current transformer calibration system. The system comprises an analysis and judgment unit, a comparison and error calculation unit, a calibration adjustment and report generation unit and a false alarm fault assessment unit, and the false alarm fault assessment unit assesses false alarm faults according to calibration report data generated by the calibration adjustment and report generation unit and historical fault data of the analysis and judgment unit. The analysis and judgment unit analyzes the interference influence degree value according to the processed remote current data and the processed electromagnetic interference data, judges the existence of a calibration false detection condition, compares the interference influence degree value obtained through analysis with a set standard interference influence degree value, and can quantify the calibration false detection condition. And the severity of the calibration false detection condition is clearly known, and corresponding measures are taken in time for adjustment, so that the influence of electromagnetic interference on the current data can be reduced, the occurrence rate of the calibration false detection condition is reduced, and the calibration accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mutual inductor calibration, and in particular to a remote current mutual inductor calibration system. Background Art

[0002] Remote current transformer calibration is a system for calibrating current transformers. Current transformers are used to measure current and are usually used in power systems. Calibration is an important step to ensure that current transformer measurement results are accurate and reliable, because accurate current measurement is crucial to the safety and operation of power systems. Since the current data is obtained remotely during the operation of the transformer, when there is electromagnetic interference around, the remote current data obtained will be affected by electromagnetic interference and signal interference may be generated, resulting in signal distortion or offset. The current data obtained under electromagnetic interference is inaccurate, causing the calibration of the transformer to produce false detection, resulting in reduced accuracy of the transformer calibration. Due to the reduced accuracy of the calibration transformer, there is an error in the current, resulting in a decrease in the performance of the transformer. At the same time, when the transformer calibration produces a false detection, the transformer will misreport the normal working state as a fault, which will not only waste maintenance resources, but also reduce the stability of the transformer. In order to avoid the false detection caused by the transformer calibration and the reduced accuracy of the transformer calibration, we provide a remote current transformer calibration system. Summary of the invention

[0003] The object of the present invention is to provide a remote current transformer calibration system to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides a remote current transformer calibration system, comprising an analysis and judgment unit, a comparison and error calculation unit, a calibration adjustment and report generation unit, and a false alarm fault assessment unit; The analysis and judgment unit is used to obtain the remote current data, electromagnetic interference data and historical fault data of the mutual inductor and analyze the interference influence degree value, and judge whether there is a calibration misdetection according to the analyzed interference influence degree value; The analysis and judgment unit includes an interference analysis module and a calibration misdetection module; The interference analysis module uses a sensor to obtain remote current data of the transformer, then obtains electromagnetic interference data and historical fault data, processes the obtained data, and then uses spectrum analysis technology to analyze the processed remote current data and the processed electromagnetic interference data to analyze the interference influence degree value of the processed electromagnetic interference data on the processed remote current data; The steps to implement the analysis of the impact of the processed electromagnetic interference data on the processed remote current data using spectrum analysis technology are as follows: Step 1: First collect and process remote current data and processed EMI data , and then process the electromagnetic interference data Perform spectrum analysis and obtain interference conditions in different frequency ranges based on the analyzed spectrum data, and then use the FFT algorithm to convert the time domain data Convert to frequency domain data , the specific steps of spectrum analysis: Step 1: Get the processed EMI data and ensure that the EMI data processed Sampling rate Meet the requirements of FFT algorithm, usually require the processing of electromagnetic interference data The sampling rate is a power of 2; Step 2: Transform the electromagnetic interference data in the time domain Processing, and then the electromagnetic interference data in the time domain Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate a spectrum diagram ; Step 3: Based on the generated spectrum Perform analysis and observe the spectrum The peak value in Distribution, spectrum diagram Represents different frequency components Energy distribution in the signal , according to the energy distribution Understanding the spectral characteristics of a signal , and according to the spectrum characteristics Identify the main frequency components in the spectrum , the main frequency components Interference signal ; Step 4: Process the remote current data in the time domain Processing, and then the time domain electrical processing of remote current data Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate an electrical spectrum , according to the generated electrical spectrum Analyze and observe the frequency spectrum The peak value of Distribution, spectrum diagram Represents different frequency components Distribution of electrical energy in the signal , according to the distribution of electric energy Data acquisition current value data ; Step 2: Analyze the interference signal obtained by spectrum analysis Remote current data with processing Perform correlation analysis and use linear regression to find interference signals The degree of influence on the current data, specific implementation steps: Step 1: Based on the processed electromagnetic interference data and process remote current data Perform feature extraction to extract and process electromagnetic interference data Interference signal in , and then extract and process the remote current data The time domain characteristics in ; Step 2: Use linear regression to analyze the interference signal and process remote current data Perform correlation analysis and understand the interference signal based on the results of the correlation analysis Remote current data processing The interference impact value is obtained based on the impact degree, and the interference impact value is the interference impact value of the analysis. ; The calibration misdetection module is used to receive the interference influence degree value analyzed in the interference analysis module, and then use the analyzed interference influence degree value and the set standard interference influence degree value to determine the calibration misdetection situation; The comparison and error calculation unit calculates the absolute error value of the current according to the current value data and the set standard current value data; The calibration adjustment and report generation unit is used to receive the data in the comparison and error calculation unit and the interference influence degree value analyzed by the analysis and judgment unit and perform calibration adjustment, and then generate a calibration report based on the calibration adjusted data; The false alarm fault evaluation unit is used to receive the calibration report data generated by the calibration adjustment and report generation unit and the historical fault data in the analysis and judgment unit and to evaluate the false alarm fault.

[0005] As a further improvement of the technical solution, the specific judgment situation in the calibration misdetection module includes: Case ①: When the interference impact value of the analysis Greater than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is high and there is a calibration misdetection. The command data with high interference level Passed into the comparison and error calculation unit; Case ②: When the interference impact value of the analysis Less than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is low, there is no calibration misdetection, and the command data with low interference level is Transfer to the calibration adjustment and report generation unit.

[0006] As a further improvement of the technical solution, the comparison and error calculation unit includes a current comparison module and an error calculation module; The current comparison module is used to receive command data with high interference degree in the calibration misdetection module, and the current comparison module obtains current value data from the specific steps of spectrum analysis in the interference analysis module, and then compares the current value data with the set standard current value data; The error calculation module is used to receive error command data in the current comparison module. The error calculation module obtains current value data from the specific steps of spectrum analysis in the interference analysis module. The error calculation module then obtains the set standard current value data from the current comparison module, and then uses the current error algorithm to calculate the absolute error value of the current according to the current value data and the set standard current value data.

[0007] As a further improvement of the technical solution, the specific comparison conditions in the current comparison module include: Case 1: When the current value data Greater than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module; Case 2: When the current value data Less than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module; Case 3: When the current value data With the set standard current value data If they are consistent, it means that there is no error in the current value data. Transfer to the calibration adjustment and report generation unit.

[0008] As a further improvement of the technical solution, the calibration adjustment and report generation unit includes a calibration adjustment module and a calibration report module; The calibration adjustment module is used to receive the current absolute error value data calculated in the error calculation module, and perform calibration adjustment according to the calculated current absolute error value data; The calibration report module is used to receive the current value data after calibration adjustment in the calibration adjustment module, the command data with low interference level in the calibration misdetection module and the current value data in the current comparison module. When the calibration report module receives the command data with low interference level, the calibration report module obtains the analyzed interference influence level value from the interference analysis module, and generates a calibration report based on the current value data after calibration adjustment, the current value data and the analyzed interference influence level value data.

[0009] As a further improvement of the present technical solution, the false alarm fault evaluation unit is used to receive the calibration report data generated by the calibration report module and the historical fault data of the interference analysis module, and use data mining to evaluate the false alarm fault based on the generated calibration report data and historical fault data.

[0010] Compared with the prior art, the present invention has the following beneficial effects: 1. In the remote current transformer calibration system, the analysis and judgment unit analyzes the interference influence degree value according to the processed remote current data and the processed electromagnetic interference data and judges whether there is a calibration misdetection. The interference influence degree value obtained by the analysis is compared with the set standard interference influence degree value. The calibration misdetection situation can be quantified, and the severity of the calibration misdetection situation can be clearly understood. Appropriate measures can be taken in time for adjustment, which can reduce the impact of electromagnetic interference on current data, reduce the incidence of calibration misdetection, and improve the accuracy of calibration.

[0011] 2. In the remote current transformer calibration system, the calibration adjustment and report generation unit calculates the absolute error value data of the current, and then generates a calibration report based on the current value data after calibration adjustment, the analyzed interference influence degree value and the current value data. The calibrated current value data combined with the analyzed interference influence degree value can more accurately identify possible fault conditions. The calibration report provides calibrated and analyzed data, which can quickly locate and solve problems and improve the reliability and stability of the transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is an overall block diagram of the present invention; Figure 2 It is a block diagram of the comparison and error calculation unit of the present invention; Figure 3 is a block diagram of a detection processing unit of the present invention; Figure 4 A block diagram of a unit for calibration adjustment and report generation of the present invention.

[0013] The meaning of each number in the figure is: 1. Analysis and judgment unit; 11. Interference analysis module; 12. Calibration misdetection module; 2. Comparison and error calculation unit; 21. Current comparison module; 22. Error calculation module; 3. Calibration adjustment and report generation unit; 31. Calibration adjustment module; 32. Calibration report module; 4. Evaluate false alarm fault units. DETAILED DESCRIPTION

[0014] The following will be combined with the accompanying drawings in 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.

[0015] Example 1

[0016] The present invention provides a remote current transformer calibration system, please refer to Figure 1-Figure 4 , including an analysis and judgment unit 1, a comparison and error calculation unit 2, a calibration adjustment and report generation unit 3, and a false alarm fault assessment unit 4; The analysis and judgment unit is used to obtain the remote current data, electromagnetic interference data and historical fault data of the transformer and analyze the interference influence degree value. According to the analyzed interference influence degree value, it is judged whether there is a calibration misdetection. The comparison and error calculation unit calculates the absolute error value of the current according to the current value data and the set standard current value data. The calibration adjustment and report generation unit is used to receive the data in the comparison and error calculation unit and the interference influence degree value analyzed by the analysis and judgment unit and perform calibration adjustment, and then generate a calibration report according to the calibration adjusted data. The false alarm fault evaluation unit is used to receive the calibration report data generated by the calibration adjustment and report generation unit and the historical fault data in the analysis and judgment unit and evaluate the false alarm fault.

[0017] The following is a refinement of the above units, see Figure 1-Figure 4 ; The interference analysis module 11 uses a sensor to obtain the remote current data of the transformer, and then obtains the electromagnetic interference data and historical fault data, and processes the obtained data. By processing the obtained data, the deviation of the obtained data in the subsequent analysis can be reduced, avoiding the reduction of data quality and improving the accuracy of the data. Then, the spectrum analysis technology is used to analyze the processed remote current data and the processed electromagnetic interference data, and the interference influence degree value of the processed electromagnetic interference data on the processed remote current data is analyzed. By analyzing the influence of the electromagnetic interference data on the current data, it can help diagnose the possible problems in the transformer. When the electromagnetic interference source is identified, the influence degree of the electromagnetic interference source on the current data is understood, and then corresponding repairs are taken; The interference analysis module 11 uses spectrum analysis technology to analyze the impact of the processed electromagnetic interference data on the processed remote current data to implement the following steps: Step 1: First collect and process remote current data and processed EMI data , and then process the electromagnetic interference data Perform spectrum analysis and obtain interference conditions in different frequency ranges based on the analyzed spectrum data, and then use the FFT algorithm to convert the time domain data Convert to frequency domain data , the specific steps of spectrum analysis: Step 1: Get the processed EMI data and ensure that the EMI data processed Sampling rate Meet the requirements of FFT algorithm, usually require the processing of electromagnetic interference data The sampling rate is a power of 2; Step 2: Transform the electromagnetic interference data in the time domain Processing, and then the electromagnetic interference data in the time domain Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate a spectrum diagram ; Step 3: Based on the generated spectrum Perform analysis and observe the spectrum The peak value in Distribution, spectrum diagram Represents different frequency components Energy distribution in the signal , according to the energy distribution Understanding the spectral characteristics of a signal , and according to the spectrum characteristics Identify the main frequency components in the spectrum , the main frequency components Interference signal ; Step 4: Process the remote current data in the time domain Processing, and then the time domain electrical processing of remote current data Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate an electrical spectrum , according to the generated electrical spectrum Analyze and observe the frequency spectrum The peak value of Distribution, spectrum diagram Represents different frequency components Distribution of electrical energy in the signal , according to the distribution of electric energy Data acquisition current value data ; Step 2: Analyze the interference signal obtained by spectrum analysis Remote current data with processing Perform correlation analysis and use linear regression to find interference signals The degree of influence on the current data, specific implementation steps: Step 1: Based on the processed electromagnetic interference data and process remote current data Perform feature extraction to extract and process electromagnetic interference data Interference signal in , and then extract and process the remote current data The time domain characteristics in ; Step 2: Use linear regression to analyze the interference signal and process remote current data Perform correlation analysis and understand the interference signal based on the results of the correlation analysis Remote current data processing The interference impact value is obtained based on the impact degree, and the interference impact value is the interference impact value of the analysis. ; The calibration misdetection module 12 is used to receive the interference influence degree value analyzed in the interference analysis module 11, and then use the analyzed interference influence degree value and the set standard interference influence degree value to determine the calibration misdetection situation; The specific judgment situations in the calibration misdetection module 12 include: Case ①: When the interference impact value of the analysis Greater than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is high and there is a calibration misdetection. The command data with high interference level The data is passed to the comparison and error calculation unit 2; Case ②: When the interference impact value of the analysis Less than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is low, there is no calibration misdetection, and the command data with low interference level is The data are transferred to the calibration adjustment and report generation unit 3.

[0018] The comparison and error calculation unit 2 includes a current comparison module 21 and an error calculation module 22; The current comparison module 21 is used to receive the command data with high interference degree in the calibration misdetection module 12, and the current comparison module 21 obtains the current value data in the specific step of the spectrum analysis in the interference analysis module 11, and then compares the current value data with the set standard current value data; The specific comparison conditions in the current comparison module 21 include: Case 1: When the current value data Greater than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module 22; Case 2: When the current value data Less than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module 22; Case 3: When the current value data With the set standard current value data If they are consistent, it means that there is no error in the current value data. The data are transferred to the calibration adjustment and report generation unit 3.

[0019] The error calculation module 22 is used to receive the error command data in the current comparison module 21. The error calculation module 22 obtains the current value data in the specific steps of the spectrum analysis in the interference analysis module 11. The error calculation module 22 then obtains the set standard current value data from the current comparison module 21, and then uses the current error algorithm to calculate the absolute error value of the current according to the current value data and the set standard current value data. The absolute error value provides a reference for adjusting the transformer. When the absolute error is large, calibration or adjustment is performed to improve the accuracy of the measurement. When the absolute error is small, it can be confirmed that the transformer is in a good working condition. Implementation principle of current error algorithm: First collect the current magnitude data And the set standard current value data , and then use the current value data And the set standard current value data Calculate the absolute error value of the current and obtain the calculated absolute error value data of the current , current error algorithm formula: ; This formula is used to calculate the absolute error value of the current. By calculating the absolute error between the current value and the standard value, the accuracy of the measurement system or equipment can be accurately evaluated, and the degree of difference between the actual measurement result and the standard value can be determined, thereby evaluating whether the equipment needs to be calibrated or adjusted.

[0020] The calibration adjustment and report generation unit 3 includes a calibration adjustment module 31 and a calibration report module 32; The calibration adjustment module 31 is used to receive the current absolute error value data calculated in the error calculation module 22, and perform calibration adjustment according to the calculated current absolute error value data. Through calibration adjustment, it can ensure that the transformer maintains stable performance in long-term use, reduce uncertainty caused by errors, enhance the reliability of the transformer, and improve stability; For example, current magnitude data The standard current value data is set to 5. is 10, according to the current value data And the set standard current value data Obtain the calculated current absolute error value data , and use the current error algorithm formula: ; The absolute error value of the calculated current is obtained according to the formula is 5, when When the absolute error value of the current is calculated, Calibrate upward to adjust 5 current values; when When the absolute error value of the current is calculated, Downward calibration adjusts 5 current values; The calibration report module 32 is used to receive the current value data after calibration adjustment in the calibration adjustment module 31, the command data with low interference level in the calibration false detection module 12 and the current value data in the current comparison module 21. When the calibration report module 32 receives the command data with low interference level, the calibration report module 32 obtains the analyzed interference influence level value from the interference analysis module 11, and generates a calibration report based on the current value data after calibration adjustment, the current value data and the analyzed interference influence level value data. The calibration report can provide corrected data and distinguish between actual equipment failures and illusions caused by measurement errors or external interference. By accurately calibrating the current value data, the possibility of false alarms can be reduced and the accuracy of fault detection can be improved.

[0021] The false alarm fault evaluation unit 4 is used to receive the calibration report data generated by the calibration report module 32 and the historical fault data of the interference analysis module 11, and use data mining to evaluate the false alarm faults based on the generated calibration report data and historical fault data. Fault reporting will lead to unnecessary maintenance and repair work, wasting time and resources. By evaluating the calibration report data and historical fault data, unnecessary intervention in normally operating systems or equipment can be avoided, thereby improving work efficiency.

[0022] Steps to implement the false alarm assessment using data mining: Step 1: First obtain the generated calibration report data and historical fault data And integrated into a data set , the data set Divide into training set and test set , using the training set For the dataset Train and then use the test set For the training data set The data after testing; Generated Calibration Report Data Includes calibration-adjusted current magnitude data , current value data And the interference impact value data analyzed ; Historical fault data Including fault type , Fault occurrence time ; Step 2: Based on the training data set The data after, the test set Test data and generated calibration report data Building a Fault Model , and then use the calibration report data generated Fault Type Verify and perform false alarm failure assessment.

[0023] Usage process: The analysis and judgment unit 1 performs analysis based on the processed remote current data and the processed electromagnetic interference data, analyzes the interference influence degree of the processed electromagnetic interference data on the processed remote current data, and transmits the command data with a high interference degree to the current comparison module 21. The current comparison module 21 is used to receive the command data with a high interference degree in the calibration misdetection module 12 and compare and judge using the current value data and the set standard current value data, judge that there is an error between the current value data and the set standard current value data, and transmit the command data with the error to the error calculation module 22. The error calculation module 22 uses the current error algorithm to calculate the absolute error value of the current according to the current value data and the set standard current value data, and transmits the calculated absolute error value data of the current to the calibration adjustment module 31. The calibration adjustment module 31 performs calibration adjustment based on the calculated absolute error value data of the current.

[0024] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A remote current transformer calibration system, characterized in that: It includes an analysis and judgment unit (1), a comparison and error calculation unit (2), a calibration adjustment and report generation unit (3), and a false alarm fault assessment unit (4); The analysis and judgment unit (1) is used to obtain remote current data, electromagnetic interference data and historical fault data of the transformer and analyze the interference impact degree value, and judge whether there is a calibration misdetection situation according to the analyzed interference impact degree value; The analysis and judgment unit (1) comprises an interference analysis module (11) and a calibration misdetection module (12); The interference analysis module (11) uses a sensor to obtain remote current data of the transformer, then obtains electromagnetic interference data and historical fault data, processes the obtained data, and then uses spectrum analysis technology to analyze the processed remote current data and the processed electromagnetic interference data to analyze the interference influence degree value of the processed electromagnetic interference data on the processed remote current data; The steps to implement the analysis of the impact of the processed electromagnetic interference data on the processed remote current data using spectrum analysis technology are as follows: Step 1: First collect and process remote current data and processed EMI data , and then process the electromagnetic interference data Perform spectrum analysis and obtain interference conditions in different frequency ranges based on the analyzed spectrum data, and then use the FFT algorithm to convert the time domain data Convert to frequency domain data , the specific steps of spectrum analysis: Step 1: Obtain processed electromagnetic interference data and ensure that the EMI data processed Sampling rate Meet the requirements of FFT algorithm, usually require the processing of electromagnetic interference data The sampling rate is a power of 2; Step 2: Transform the electromagnetic interference data in the time domain Processing, and then the electromagnetic interference data in the time domain Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate a spectrum diagram ; Step 3: Based on the generated spectrum Perform analysis and observe the spectrum The peak value in Distribution, spectrum diagram Represents different frequency components Energy distribution in the signal , according to the energy distribution Understanding the spectral characteristics of a signal , and according to the spectrum characteristics Identify the main frequency components in the spectrum , the main frequency components Interference signal ; Step 4: Process the remote current data in the time domain Processing, and then the time domain electrical processing of remote current data Convert to frequency domain data and decompose the time domain signal into components of different frequencies to generate an electrical spectrum , according to the generated electrical spectrum Analyze and observe the frequency spectrum The peak value of Distribution, spectrum diagram Represents different frequency components Distribution of electrical energy in the signal , according to the distribution of electric energy Data acquisition current value data ; Step ②: Analyze the interference signal obtained by spectrum analysis Remote current data with processing Perform correlation analysis and use linear regression to find interference signals The degree of influence on the current data, specific implementation steps: Step 1: Based on the processed electromagnetic interference data and process remote current data Perform feature extraction to extract and process electromagnetic interference data Interference signal in , and then extract and process the remote current data The time domain characteristics in ; Step 2: Use linear regression to analyze the interference signal and process remote current data Perform correlation analysis and understand the interference signal based on the results of the correlation analysis Remote current data processing The interference impact value is obtained based on the impact degree, and the interference impact value is the interference impact value of the analysis. ; The calibration misdetection module (12) is used to receive the interference influence degree value analyzed in the interference analysis module (11), and then use the analyzed interference influence degree value and the set standard interference influence degree value to determine the calibration misdetection situation; The comparison and error calculation unit (2) calculates the absolute error value of the current according to the current value data and the set standard current value data; The calibration adjustment and report generation unit (3) is used to receive the data in the comparison and error calculation unit (2) and the interference influence degree value analyzed by the analysis and judgment unit (1) and perform calibration adjustment, and then generate a calibration report based on the calibration adjusted data; The false alarm fault assessment unit (4) is used to receive the calibration report data generated by the calibration adjustment and report generation unit (3) and the historical fault data in the analysis and judgment unit (1) and to assess the false alarm fault.

2. The remote current transformer calibration system according to claim 1, characterized in that: The specific judgment situation in the calibration misdetection module (12) includes: Case ①: When the interference impact value of the analysis Greater than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is high and there is a calibration misdetection. The command data with high interference level Passed into the comparison and error calculation unit (2); Case ②: When the interference impact value of the analysis Less than the set standard interference impact value , illustrating the processed electromagnetic interference data Remote current data processing The interference level is low, there is no calibration misdetection, and the command data with low interference level is The data is passed to the calibration adjustment and report generation unit (3).

3. The remote current transformer calibration system according to claim 1, characterized in that: The comparison and error calculation unit (2) comprises a current comparison module (21) and an error calculation module (22); The current comparison module (21) is used to receive command data with a high interference degree in the calibration misdetection module (12), the current comparison module (21) obtains current value data in the specific steps of spectrum analysis in the interference analysis module (11), and then compares the current value data with set standard current value data; The error calculation module (22) is used to receive error command data in the current comparison module (21), the error calculation module (22) obtains current value data in the specific steps of spectrum analysis in the interference analysis module (11), the error calculation module (22) then obtains set standard current value data from the current comparison module (21), and then uses a current error algorithm to calculate the absolute error value of the current according to the current value data and the set standard current value data.

4. The remote current transformer calibration system according to claim 3, characterized in that: The specific comparison conditions in the current comparison module (21) include: Case 1: When the current value data Greater than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module (22); Case 2: When the current value data Less than the set standard current value data When , it indicates that there is an error in the current value data, and the error command data is transmitted to the error calculation module (22); Case 3: When the current value data With the set standard current value data If they are consistent, it means that there is no error in the current value data. The data is passed to the calibration adjustment and report generation unit (3).

5. The remote current transformer calibration system according to claim 3, characterized in that: The calibration adjustment and report generation unit (3) comprises a calibration adjustment module (31) and a calibration report module (32); The calibration adjustment module (31) is used to receive the current absolute error value data calculated in the error calculation module (22), and perform calibration adjustment according to the calculated current absolute error value data; The calibration report module (32) is used to receive the current value data after calibration adjustment in the calibration adjustment module (31), the command data with a low interference level in the calibration misdetection module (12), and the current value data in the current comparison module (21); when the calibration report module (32) receives the command data with a low interference level, the calibration report module (32) obtains the analyzed interference influence level value from the interference analysis module (11), and generates a calibration report based on the current value data after calibration adjustment, the current value data, and the analyzed interference influence level value data.

6. The remote current transformer calibration system according to claim 5, characterized in that: The false alarm fault assessment unit (4) is used to receive calibration report data generated by the calibration report module (32) and historical fault data of the interference analysis module (11), and to use data mining to assess false alarm faults based on the generated calibration report data and historical fault data.

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