Transformer substation capacitive equipment pollution current detection method of TMR sensor

Abstract

The invention discloses a transformer substation capacitive equipment pollution current detection method based on a TMR sensor. The transformer substation capacitive equipment pollution current detection method sequentially meets the following steps and content requirements: firstly, detecting transformer substation capacitive equipment external insulation pollution current by using the TMR sensor; then, weak current signals measured by the TMR sensor are subjected to amplification, filtering and / or digital-to-analog conversion processing; and then the signal is analyzed, and the pollution degree of the capacitive equipment of the transformer substation is evaluated. The transformer substation capacitive equipment external insulation pollution current detection device based on the TMR sensor comprises a current detection module (1), a control and data processing module (2) and a result output module (3). According to the transformer substation capacitive equipment pollution current detection method based on the TMR sensor, weak transformer substation capacitive equipment pollution current can be detected, and follow-up processing can be quickly and effectively carried out, so that the weak transformer substation capacitive equipment pollution current can be used as basic data for judging whether alarm and follow-up processing are needed or not; the method is high in operability and excellent in technical effect.

Description

Technical Field

[0001] The invention relates to the technical field of online monitoring of capacitive equipment in a transformer substation, and in particular to a method for detecting contaminated current of capacitive equipment in a transformer substation using a TMR sensor. Background Art

[0002] With the rapid development of smart grids, the requirements for the accuracy and stability of current measurement are increasing. Although traditional current measurement methods, such as Hall sensors and shunts, meet the needs of current measurement to a certain extent, their measurement accuracy and stability are often greatly affected in complex electromagnetic environments. As a new type of current measurement technology, TMR (tunnel magnetoresistance effect) sensors have shown broad application prospects in the field of current measurement due to their advantages such as high precision, high sensitivity, low power consumption and excellent anti-interference ability. However, in actual application, TMR sensors also face some challenges. Due to the influence of external factors such as electromagnetic interference and temperature changes, the output signal of TMR sensors often has problems such as nonlinear distortion and noise interference. These problems affect its measurement accuracy to a certain extent, thereby limiting its further promotion and application in the field of high-precision current measurement.

[0003] On the other hand, the traditional substation contamination current detection method also has many limitations. For example, although the observation method is intuitive and simple, it has certain limitations and cannot effectively detect all situations; although the ultrasonic detection method can accurately detect the contamination current of deteriorated insulators, its application range is relatively narrow; although the laser Doppler vibration method has high sensitivity, it cannot effectively detect equipment with internal cracks but intact surfaces, and the required instruments occupy too large an area, and the operation and maintenance are relatively complicated; although the corona camera method can reflect the contamination of the equipment to a certain extent, it cannot directly observe the specific defects of the insulator, and the equipment is expensive, which is not conducive to large-scale promotion and application.

[0004] Therefore, how to overcome the limitations of these traditional methods and explore more efficient and accurate substation pollution current detection methods has become an important issue to be solved in the current development of smart grid technology. People are eager to obtain a substation capacitive equipment pollution current detection method with a TMR sensor with excellent technical effect. Summary of the invention

[0005] The invention provides a method for detecting contaminated current of capacitive equipment in a transformer substation using a TMR sensor.

[0006] The technical solution of the present invention is:

[0007] A method for detecting contaminated current of capacitive equipment in a substation using a TMR sensor, the technical key of which is: obtaining current information of capacitive equipment based on the TMR sensor, and identifying the contamination accumulation situation according to the current information; compared with the traditional method for detecting contaminated current in a substation, the method can accurately capture the slight changes in the current signal through the high sensitivity, high resolution and wide measurement range characteristics of the TMR sensor, and then deeply analyze and compare the collected current data to extract the characteristic mode of the contaminated current; the method is more intelligent and more adaptable in identifying the contamination accumulation situation through the current information, effectively solving the problems existing in the existing detection method, and improving the accuracy and timeliness of the detection;

[0008] The substation capacitive equipment contamination current detection method of the TMR sensor uses a special substation capacitive equipment external insulation contamination current detection device based on the TMR sensor; the substation capacitive equipment external insulation contamination current detection device based on the TMR sensor includes a current detection module 1, a control and data processing module 2, and a result output module 3; wherein: the current detection module 1 is connected to the result output module 3 through the control and data processing module 2;

[0009] The current detection module 1 is responsible for capturing and measuring current information, especially for accurate detection of contaminated current of capacitive equipment in substations;

[0010] The control and data processing module 2 controls, analyzes and processes the detected current data. The specific process includes filtering, calibration, feature extraction and other steps to ensure the accuracy and reliability of the data.

[0011] The result output module 3 is responsible for outputting the processing results in an appropriate form, including functions such as numerical display, alarm prompt or data storage, so that the operation and maintenance personnel can obtain the current detection information in time and take corresponding processing measures;

[0012] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following steps and content requirements in sequence:

[0013] First, the TMR sensor is used as a current detection element to detect the change of magnetic field around the capacitive equipment of the substation in a non-contact manner. This change is related to the contaminated current. The TMR sensor can measure the contaminated current of the external insulation of the capacitive equipment of the substation with high accuracy.

[0014] Then, the control and data processing module 2 performs amplification, filtering and / or digital-to-analog conversion on the weak current signal measured by the TMR sensor;

[0015] After that, the signal processed by the control and data processing module 2 then enters the pollution situation analysis link: the signal is deeply analyzed to extract the characteristic information directly related to the pollution situation; this characteristic information will be used to evaluate the pollution degree of the substation capacitive equipment; that is, the data processing and analysis module receives the conditioned signal and calculates the pollution current value based on the preset algorithm;

[0016] Next, the system will compare the analyzed contamination situation with the data in the "database"; the database stores a large amount of historical data and standard values ​​about the contamination situation of substation capacitive equipment; through comparison, the system can determine whether the current contamination situation exceeds the normal range and give corresponding conclusions accordingly.

[0017] The method for detecting contaminated current of capacitive equipment in a substation using a TMR sensor of the present invention preferably requires the following technical contents to be protected:

[0018] In the method for detecting the contamination current of the capacitive equipment in the substation of the TMR sensor, the results will be outputted according to the comparison results at the end; these results include one of the following or a combination thereof: a quantitative value of the degree of contamination; a judgment of whether it exceeds the threshold; and corresponding processing suggestions. The operation and maintenance personnel can take corresponding measures in a timely manner according to these results to ensure the normal operation and safety of the capacitive equipment in the substation. Finally, according to the results of the advanced fault analysis, the system will confirm the existence of the fault and trigger the alarm system. The alarm system will notify the operation and maintenance personnel in an appropriate manner so that they can handle the fault in a timely manner to ensure the normal operation of the substation.

[0019] In the substation capacitive equipment contamination current detection device of the TMR sensor, the current detection module 1 includes a TMR sensor, a drive module, a signal processing module, a temperature compensation module, and a power supply module; wherein: the TMR sensor is connected to the signal processing module through the drive module, and the temperature compensation module is also connected to the signal processing module; the power supply module is directly or indirectly connected to other modules: the TMR sensor, the drive module, the signal processing module, and the temperature compensation module;

[0020] The driving module can ensure that the TMR sensor can work within the normal range. The signal processing module includes a differential amplifier, a digital-to-analog converter, etc. The differential amplifier is used to amplify weak current signals and improve the signal-to-noise ratio of the signal. The digital-to-analog converter is used to convert analog signals into digital signals for subsequent processing; the temperature compensation module can adjust the measurement value of the TMR sensor according to the output of the temperature sensor to ensure the measurement accuracy of the TMR sensor at different temperatures. The power supply module is used to provide a stable power supply for the entire current detection module.

[0021] The control and data processing module 2 is mainly used to pre-process the original signal collected by the TMR sensor 1.1: signal amplification, filtering, and denoising; denoising refers to removing high-frequency noise and interference to improve signal quality: improving the signal-to-noise ratio and stability of the signal, and providing a reliable basis for subsequent data processing; at the same time, the control and data processing module 2 can also amplify and condition the signal to meet the input requirements of the convolutional neural network model; the control and data processing module 2 includes a database, which stores the current signals of the external insulation of the capacitive device under different fault conditions, and the control and data processing module 2 then analyzes the current state of the external insulation of the capacitive device by comparing the data in the database with the measured data.

[0022] The result output module 3 can intuitively display the intensity and change trend of the contaminated current through mobile devices and / or PCs; through built-in algorithm analysis, the device can provide real-time evaluation of the insulation performance of the equipment and timely warn of potential insulation failures; users can easily interpret data, formulate maintenance strategies, ensure power grid safety, and ensure the accuracy and timeliness of output results, providing strong technical support for the operation and maintenance management of substations.

[0023] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn:

[0024] like Figure 4 ,After the detection process starts from “start”, it first enters the “signal preprocessing” stage; in the “signal preprocessing” stage, the original signal output by the TMR sensor is preliminarily processed to improve the signal to noise ratio and stability; the processing process involves signal amplification, filtering and noise removal operations;

[0025] Next, perform "digital-to-analog conversion": convert the pre-processed analog signal into a digital signal for subsequent digital signal processing; the process of digital-to-analog conversion can be expressed by the following formula:

[0026] \text{digital signal}=\text{ADC}(\text{analog signal})\]

[0027] Among them, ADC stands for analog-to-digital converter, which converts analog signals into digital signals;

[0028] Then, enter the "digital signal processing" stage: further process the digital signal to extract signal features that are directly related to the dirty current; these features include: signal frequency, amplitude, phase and other parameters; the processing process may involve filtering, Fourier transform, feature extraction and other algorithms; finally, perform "data analysis and judgment". At this stage, the extracted signal features are compared with the information in the database to determine the contamination situation. The judgment process may involve threshold comparison, pattern recognition and other algorithms. If the signal features match the dirty current features in the database, it is judged that the contamination situation exists and the corresponding results are output. The entire process can be summarized by the following formula:

[0029] [text{output result}=f(\text{digital signal processing}(\text{ADC}(\text{signal preprocessing}(\text{TMR sensor output}))))\]

[0030] Among them, \(f\) represents the function of data analysis and judgment, which obtains the final output result based on the result of digital signal processing;

[0031] In summary, accurate detection of contaminated current is achieved through steps such as signal preprocessing, digital-to-analog conversion, digital signal processing, and data analysis and judgment.

[0032] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn:

[0033] In the substation capacitive equipment contamination current detection device of the TMR sensor, the TMR sensor is fixed on an insulating rod, and the test personnel conduct non-contact detection of the contamination current and discharge pulse at the grounding flange of the substation high-voltage electrical equipment by holding the insulating rod. The measurement data is transmitted to the monitoring host through the wireless communication network, and the background software analysis of the host platform integrated with the deep learning algorithm can judge the external insulation contamination of the substation equipment.

[0034] The host can collect data from up to 3 current sensors simultaneously to improve the efficiency of field tests;

[0035] The power supply adopts AC and DC. The whole system is powered by the power supply. The stability and reliability of the power supply are crucial to the normal operation of the system; it ensures that each component can work continuously and stably, thereby achieving accurate detection and processing of dirty current.

[0036] The present invention can detect weak contaminated current of capacitive equipment in a transformer substation, and quickly and effectively perform subsequent processing, which is used as basic data for determining whether an alarm and subsequent processing are required; the invention has strong operability and excellent technical effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is the overall framework diagram of the contamination current detection method and device of the substation capacitive equipment based on TMR sensor;

[0038] Figure 2 It is a flow chart of a method for detecting contaminated current of capacitive equipment in a substation based on a TMR sensor;

[0039] Figure 3 It is a schematic diagram of a contamination current detection device for capacitive equipment in a substation based on a TMR sensor;

[0040] Figure 4 Signal processing module flow chart;

[0041] Figure 5 This is a fault diagnosis flow chart. DETAILED DESCRIPTION

[0042] The present invention will be further described below in conjunction with the embodiments and the accompanying drawings, but is not limited thereto.

[0043] Example 1

[0044] A method for detecting contaminated current of capacitive equipment in a substation using a TMR sensor, the technical key of which is: obtaining current information of capacitive equipment based on the TMR sensor, and identifying the contamination accumulation situation according to the current information; compared with the traditional method for detecting contaminated current in a substation, the method can accurately capture the slight changes in the current signal through the high sensitivity, high resolution and wide measurement range characteristics of the TMR sensor, and then deeply analyze and compare the collected current data to extract the characteristic mode of the contaminated current; the method is more intelligent and more adaptable in identifying the contamination accumulation situation through the current information, effectively solving the problems existing in the existing detection method, and improving the accuracy and timeliness of the detection;

[0045] The substation capacitive equipment contamination current detection method of the TMR sensor uses a special substation capacitive equipment external insulation contamination current detection device based on the TMR sensor; the substation capacitive equipment external insulation contamination current detection device based on the TMR sensor includes a current detection module 1, a control and data processing module 2, and a result output module 3; wherein: the current detection module 1 is connected to the result output module 3 through the control and data processing module 2;

[0046] The current detection module 1 is responsible for capturing and measuring current information, especially for accurately detecting the contaminated current of the capacitive equipment in the substation; the current detection module 1 includes a TMR sensor 1.1, a driving module 1.2, a signal processing module 1.3, a temperature compensation module 1.4, and a power supply module 1.5; the driving module can ensure that the TMR sensor 1.1 can work within a normal range, the signal processing module 1.3 includes a differential amplifier, a digital-to-analog converter, etc., the differential amplifier is used to amplify weak current signals and improve the signal-to-noise ratio of the signal, and the digital-to-analog converter is used to convert analog signals into digital signals for subsequent processing; the temperature compensation module 1.4 can adjust the measurement value of the TMR sensor 1.1 according to the output of the temperature sensor to ensure the measurement accuracy of the TMR sensor 1.1 at different temperatures, and the power supply module 1.5 is used to provide a stable power supply for the entire current detection module 1;

[0047] The control and data processing module 2 controls, analyzes and processes the detected current data, and the specific process includes filtering, calibration, feature extraction and other steps to ensure the accuracy and reliability of the data; the control and data processing module 2 mainly filters the original signal collected by the TMR sensor 1.1 to remove high-frequency noise and interference to improve the signal quality; at the same time, the control and data processing module 2 can also amplify and condition the signal to meet the input requirements of the convolutional neural network model; the control and data processing module 2 includes a database, which stores the current signals of the external insulation of the capacitive device under different fault conditions, and the control and data processing module 2 further analyzes the current state of the external insulation of the capacitive device by comparing the data in the database with the measured data;

[0048] The result output module 3 is responsible for outputting the processing results in an appropriate form, including functions such as numerical display, alarm prompts or data storage, so that the operation and maintenance personnel can obtain the current detection information in time and take corresponding treatment measures; the result output module 3 can intuitively display the intensity and change trend of the dirty current through the mobile device and / or PC; through the built-in algorithm analysis, the device can provide real-time evaluation of the insulation performance of the equipment and timely warn of potential insulation failures; users can easily interpret the data, formulate maintenance strategies, ensure the safety of the power grid, and ensure the accuracy and timeliness of the output results, providing strong technical support for the operation and maintenance management of the substation;

[0049] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following steps and content requirements in sequence:

[0050] First, the TMR sensor is used as a current detection element to detect the change of magnetic field around the capacitive equipment of the substation in a non-contact manner. This change is related to the contaminated current. The TMR sensor can measure the contaminated current of the external insulation of the capacitive equipment of the substation with high accuracy.

[0051] Then, the control and data processing module 2 performs amplification, filtering and / or digital-to-analog conversion on the weak current signal measured by the TMR sensor;

[0052] After that, the signal processed by the control and data processing module 2 then enters the pollution situation analysis link: the signal is deeply analyzed to extract the characteristic information directly related to the pollution situation; this characteristic information will be used to evaluate the pollution degree of the substation capacitive equipment; that is, the data processing and analysis module receives the conditioned signal and calculates the pollution current value based on the preset algorithm;

[0053] Next, the system will compare the analyzed contamination situation with the data in the "database"; the database stores a large amount of historical data and standard values ​​about the contamination situation of substation capacitive equipment; through comparison, the system can determine whether the current contamination situation exceeds the normal range and give corresponding conclusions accordingly.

[0054] The method for detecting contaminated current of capacitive equipment in a substation using a TMR sensor of the present invention preferably requires the following technical contents to be protected:

[0055] In the method for detecting the contamination current of the capacitive equipment in the substation of the TMR sensor, the results will be outputted according to the comparison results at the end; these results include one of the following or a combination thereof: a quantitative value of the degree of contamination; a judgment of whether it exceeds the threshold; and corresponding processing suggestions. The operation and maintenance personnel can take corresponding measures in a timely manner according to these results to ensure the normal operation and safety of the capacitive equipment in the substation. Finally, according to the results of the advanced fault analysis, the system will confirm the existence of the fault and trigger the alarm system. The alarm system will notify the operation and maintenance personnel in an appropriate manner so that they can handle the fault in a timely manner to ensure the normal operation of the substation.

[0056] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn:

[0057] like Figure 4 ,After the detection process starts from “start”, it first enters the “signal preprocessing” stage; in the “signal preprocessing” stage, the original signal output by the TMR sensor is preliminarily processed to improve the signal to noise ratio and stability; the processing process involves signal amplification, filtering and noise removal operations;

[0058] Next, perform "digital-to-analog conversion": convert the pre-processed analog signal into a digital signal for subsequent digital signal processing; the process of digital-to-analog conversion can be expressed by the following formula:

[0059] \text{digital signal}=\text{ADC}(\text{analog signal})\]

[0060] Among them, ADC stands for analog-to-digital converter, which converts analog signals into digital signals;

[0061] Then, enter the "digital signal processing" stage: further process the digital signal to extract signal features that are directly related to the dirty current; these features include: signal frequency, amplitude, phase and other parameters; the processing process may involve filtering, Fourier transform, feature extraction and other algorithms; finally, perform "data analysis and judgment". At this stage, the extracted signal features are compared with the information in the database to determine the contamination situation. The judgment process may involve threshold comparison, pattern recognition and other algorithms. If the signal features match the dirty current features in the database, it is judged that the contamination situation exists and the corresponding results are output. The entire process can be summarized by the following formula:

[0062] [text{output result}=f(\text{digital signal processing}(\text{ADC}(\text{signal preprocessing}(\text{TMR sensor output}))))\]

[0063] Among them, \(f\) represents the function of data analysis and judgment, which obtains the final output result based on the result of digital signal processing;

[0064] In summary, accurate detection of contaminated current is achieved through steps such as signal preprocessing, digital-to-analog conversion, digital signal processing, and data analysis and judgment.

[0065] The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn:

[0066] In the substation capacitive equipment contamination current detection device of the TMR sensor, the TMR sensor is fixed on an insulating rod, and the test personnel conduct non-contact detection of the contamination current and discharge pulse at the grounding flange of the substation high-voltage electrical equipment by holding the insulating rod. The measurement data is transmitted to the monitoring host through the wireless communication network, and the background software analysis of the host platform integrated with the deep learning algorithm can judge the external insulation contamination of the substation equipment.

[0067] The host can collect data from up to 3 current sensors simultaneously to improve the efficiency of field tests;

[0068] The power supply adopts AC and DC. The whole system is powered by the power supply. The stability and reliability of the power supply are crucial to the normal operation of the system; it ensures that each component can work continuously and stably, thereby achieving accurate detection and processing of dirty current.

[0069] This embodiment can detect weak contaminated current of substation capacitive equipment and quickly and effectively perform subsequent processing, which is used as basic data for determining whether an alarm and subsequent processing are required; it has strong operability and excellent technical effects.

Claims

1. A method for detecting contaminated current of capacitive equipment in a substation using a TMR sensor, characterized in that: It uses TMR sensors to obtain current information from capacitive devices and identifies contamination accumulation based on the current information; Through the high sensitivity, high resolution and wide measurement range of the TMR sensor, it can accurately capture the slight changes in the current signal, and then conduct in-depth analysis and comparison of the collected current data to extract the characteristic pattern of the dirty current; The substation capacitive equipment contamination current detection method using a TMR sensor uses a special substation capacitive equipment external insulation contamination current detection device based on a TMR sensor; the substation capacitive equipment external insulation contamination current detection device based on a TMR sensor comprises a current detection module (1), a control and data processing module (2), and a result output module (3); wherein: the current detection module (1) is connected to the result output module (3) via the control and data processing module (2); The current detection module (1) is responsible for capturing and measuring current information, especially for accurately detecting the contaminated current of the capacitive equipment in the substation; The control and data processing module (2) controls, analyzes and processes the detected current data, and the specific process includes filtering, calibration and feature extraction steps to ensure the accuracy and reliability of the data; The result output module (3) is responsible for outputting the processing results in an appropriate form, including numerical display, alarm prompt or data storage functions, so that the operation and maintenance personnel can obtain the current detection information in time and take corresponding processing measures; The substation capacitive equipment contamination current detection method of the TMR sensor meets the following steps and content requirements in sequence: First, the TMR sensor is used as a current detection element to detect the magnetic field changes around the substation capacitive equipment in a non-contact manner; the TMR sensor can measure the external insulation contamination current of the substation capacitive equipment with high precision; Then, the control and data processing module (2) amplifies, filters and / or performs digital-to-analog conversion on the weak current signal measured by the TMR sensor; After that, the signal processed by the control and data processing module (2) enters the pollution situation analysis link: the signal is deeply analyzed to extract characteristic information directly related to the pollution situation; this characteristic information will be used to evaluate the pollution level of the substation capacitive equipment; that is, the data processing and analysis module receives the conditioned signal and calculates the pollution current value based on the preset algorithm; Next, the system will compare the analyzed contamination situation with the data in the "database"; the database stores a large amount of historical data and standard values ​​on the contamination situation of substation capacitive equipment; through comparison, the system can determine whether the current contamination situation exceeds the normal range and give corresponding conclusions accordingly.

2. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to claim 1, characterized in that: In the method for detecting contaminated current of capacitive equipment in a substation using the TMR sensor, a result is finally outputted according to the comparison result; these results include one of the following or a combination thereof: a quantitative value of the degree of contamination; Determine whether the threshold is exceeded; and provide corresponding processing suggestions.

3. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to claim 1, characterized in that: In the substation capacitive equipment contamination current detection device of the TMR sensor, the current detection module (1) comprises a TMR sensor, a drive module, a signal processing module, a temperature compensation module, and a power supply module; wherein: the TMR sensor is connected to the signal processing module via the drive module, and the temperature compensation module is also connected to the signal processing module; the power supply module is directly or indirectly connected to the other modules: the TMR sensor, the drive module, the signal processing module, and the temperature compensation module; The driving module can ensure that the TMR sensor can work within the normal range. The signal processing module includes a differential amplifier and a digital-to-analog converter. The differential amplifier is used to amplify weak current signals and improve the signal-to-noise ratio of the signal. The digital-to-analog converter is used to convert analog signals into digital signals for subsequent processing. The temperature compensation module can adjust the measurement value of the TMR sensor according to the output of the temperature sensor to ensure the measurement accuracy of the TMR sensor at different temperatures. The power supply module is used to provide a stable power supply for the entire current detection module.

4. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to claim 1, characterized in that: The control and data processing module (2) is mainly used to pre-process the original signal collected by the TMR sensor (1.1): signal amplification, filtering, and noise removal; De-noising refers to removing high-frequency noise and interference to improve signal quality: improving the signal-to-noise ratio and stability of the signal; at the same time, the control and data processing module (2) can also amplify and condition the signal to meet the input requirements of the convolutional neural network model; the control and data processing module (2) includes a database, which stores current signals of the external insulation of the capacitive device under different fault conditions, and the control and data processing module (2) further analyzes the current state of the external insulation of the capacitive device by comparing the data in the database with the measured data.

5. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to claim 1, characterized in that: The result output module (3) can intuitively display the intensity and change trend of the contaminated current through a mobile device or / and a PC. Through built-in algorithm analysis, the device can provide real-time evaluation of the insulation performance of the equipment and timely warn of potential insulation failures. Users can interpret the data and formulate maintenance strategies to ensure the safety of the power grid and the accuracy and timeliness of the output results, thus providing strong technical support for the operation and maintenance management of the substation.

6. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to any one of claims 1 to 5, characterized in that: The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn: The detection process first enters the "signal preprocessing" stage; in "signal preprocessing", the original signal output by the TMR sensor is preliminarily processed to improve the signal-to-noise ratio and stability of the signal; the processing process involves signal amplification, filtering and denoising operations; Next, perform "digital-to-analog conversion": convert the pre-processed analog signal into a digital signal for subsequent digital signal processing; the digital-to-analog conversion process can be expressed by the following formula: \text{digital signal}=\text{ADC}(\text{analog signal})\] Among them, ADC stands for analog-to-digital converter, which converts analog signals into digital signals; Then, the "digital signal processing" stage is entered: the digital signal is further processed to extract signal features that are directly related to the dirty current; these features include: the frequency, amplitude, and phase of the signal; the processing process involves filtering, Fourier transform, and feature extraction; finally, "data analysis and judgment" is performed. In this stage, the extracted signal features are compared with the information in the database to determine the contamination situation. The judgment process may involve algorithms such as threshold comparison and pattern recognition. If the signal features match the dirty current features in the database, it is judged that the contamination situation exists and the corresponding results are output. The entire process can be summarized by the following formula: [text{output result}=f(\text{digital signal processing}(\text{ADC}(\text{signal preprocessing}(\text{TMR sensor output}))))\] Among them, \(f\) represents the function of data analysis and judgment, which obtains the final output result based on the result of digital signal processing; In summary, accurate detection of contaminated current is achieved through steps such as signal preprocessing, digital-to-analog conversion, digital signal processing, and data analysis and judgment.

7. The method for detecting contamination current of capacitive equipment in a substation using a TMR sensor according to any one of claims 1 to 5, characterized in that: The substation capacitive equipment contamination current detection method of the TMR sensor meets the following requirements in turn: In the substation capacitive equipment contamination current detection device of the TMR sensor, the TMR sensor is fixed on an insulating rod, and the contamination current and discharge pulse at the grounding flange of the substation high-voltage electrical equipment are non-contact detected by holding the insulating rod. The measurement data is transmitted to the monitoring host through a wireless communication network, and the background software analysis of the host platform integrated with the deep learning algorithm is used to judge the external insulation contamination of the substation equipment. The host can collect data from up to 3 current sensors simultaneously to improve the efficiency of field tests; The power supply mode adopts AC and DC.

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