Integrated insulator pollution degree sensing system and method based on magnetic resistance chip

Abstract

The invention relates to the technical field of power systems, and discloses an integrated insulator pollution degree sensing system and method based on a magnetic resistance chip, which can be compatible with various types of insulator structures by optimizing the design and the structure of the system, adapt to different power equipment and environment requirements, and are suitable for not only traditional linear insulators but also traditional linear insulators. And the device can also be used on an insulator with a bent, complex or special structure, and large-scale customized design or adjustment is not needed. The adaptive capacity of the equipment is greatly improved, and the universality of the system in different installation scenes is enhanced. The current leakage data can be stably collected on various insulator structures, signal loss or interference caused by structure mismatching is avoided, reliable data support is provided for subsequent signal processing and analysis through accurate data collection, and the accuracy and stability of induction signals are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to an integrated insulator contamination degree sensing system and method based on a magnetoresistive chip. Background Art

[0002] In the power system, it is necessary to select appropriate sensors according to different current measurement scenarios. Among them, the non-contact current sensor based on the tunneling magnetoresistance effect has the advantages of high sensitivity, good linearity, large measurement range, and good dynamic response performance. It is often used in power systems to carry out precise AC and DC synchronous measurements, and is mostly used in non-contact measurement scenarios that are not suitable for direct access. This includes the leakage current monitoring scenario for current line insulators. The insulation performance of insulators plays a vital role in the safe and stable operation of power systems. Its leakage current and detection are important means to assess the degree of contamination and analyze insulation characteristics.

[0003] Leakage current and arc pulse are the direct causes of pollution flashover. Under the influence of different environmental conditions, such as temperature and humidity, haze, and historical environment, the amplitude of leakage current is not the same. For example, when the insulator is not flashing, there is a high-frequency pulse signal. When the insulator is close to flashing, individual pulses with larger amplitudes appear. Therefore, the insulator leakage current amplitude and the number of pulses exceeding a certain amplitude can be monitored and recorded to determine the pollution condition of the insulator. There are currently many means of monitoring insulator leakage current. Generally, current monitoring is achieved by installing a transformer or sensor, such as a current transformer, a Hall sensor, etc. Among them, the transformer is a more traditional means of state monitoring, but it can only monitor AC and cannot monitor DC, and the measurement accuracy is low; the Hall sensor is a non-contact current sensor based on the Hall element, which can measure AC and DC at the same time, but its structural design based on electronic components is more susceptible to the external environment, and there is a large temperature drift, and the measurement accuracy is poor when used in a complex environment. Tunneling magnetoresistive sensor is a non-contact current sensor with high precision, high response speed, wide frequency domain and large range. Its excellent performance parameters make it widely used in industry and electronics.

[0004] At present, there are many methods for monitoring leakage current based on tunneling magnetoresistive sensors. There are two ways to install them on insulators. One way is to use a through-core structure on the insulator as the sensor current collecting body to measure the leakage current; the other way is to install a drainage structure on the insulator, collect and derive the leakage current on the insulator through the confluence structure, and then use the sensor to monitor the leakage current in the lead-out wire connected to the confluence structure. Among them, the former method needs to install a magnetic confluence structure to collect the magnetic field generated by the small current, which is relatively large in size and high in cost. Therefore, the current monitoring system design containing the confluence structure is mostly used. The current confluence structure currently used is mostly designed for specific insulator structures, and its adaptability to the installation of insulators with different structures is poor, and there are certain safety hazards. Summary of the invention

[0005] The purpose of the present invention is to overcome the disadvantage of poor adaptability to the installation of insulators of different structures, and to provide an integrated insulator contamination sensing system and method based on a magnetoresistive chip.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides an integrated insulator contamination sensing system based on a magnetoresistive chip, comprising: The sensing core system is used to obtain the leakage current of the insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain the sensing signal; The main control system is used to process the sensing signal and obtain leakage current data; The edge intelligent computing module is used to analyze the leakage current, extract the current pollution data, predict the pollution level trend based on the current pollution data, and obtain indicators that characterize the pollution level characteristics based on the pollution level trend.

[0007] A further improvement of the present invention is that the perception core system includes: Circuit protection structure for diverting insulator leakage current; The tunneling magnetoresistance effect structure is used to convert the leakage current into an electrical signal and transmit it to the main control system.

[0008] A further improvement of the present invention is that the main control system comprises: An amplifier circuit, used for amplifying an electrical signal; A filter circuit, used for filtering the amplified electrical signal; A compensation circuit, used for compensating the filtered electrical signal; An ADC circuit, used for converting the compensated electrical signal into a digital signal; MCU is used to convert digital signals from time domain to frequency domain, extract required features, and obtain sensing signals; Data transmission circuit, used to transmit the sensing signal to the edge intelligent computing module.

[0009] A further improvement of the present invention is that the edge intelligent computing module includes: A calculation unit, used to analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; The RISC-V main control unit is used to predict the pollution level trend based on the current pollution data, and obtain indicators characterizing the pollution level characteristics based on the pollution level trend.

[0010] In a second aspect, the present invention provides an integrated insulator contamination degree sensing method based on a magnetoresistive chip, comprising the following steps: According to the historical data of insulator leakage current, a pollution file is established, and based on the pollution file, a pollution degree assessment model is constructed; Collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then pre-process it to obtain an induction signal; Processing the sensing signal to obtain leakage current data; Analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; According to the current pollution data, the pollution level trend is predicted. According to the pollution level trend, the index characterizing the pollution degree characteristics is obtained to complete the insulator pollution degree perception.

[0011] A further improvement of the present invention is that a pollution file is established based on the historical data of the insulator leakage current. The specific method of constructing a pollution degree assessment model based on the pollution file is as follows: Obtain historical data of leakage current, extract required features from the historical data, perform data cleaning on the required features, remove outliers and perform standardization to obtain the required leakage current features; According to the preset pollution level, the characteristics of the leakage current are divided into different pollution levels; Analyze the correspondence between different pollution levels and historical data, and summarize the analysis results into pollution files; According to the corresponding relationship in the pollution files, the regression analysis method is used to establish a preliminary pollution degree assessment model, and the historical data is used to train the preliminary pollution degree assessment model to obtain the final pollution degree assessment model.

[0012] A further improvement of the present invention is that the leakage current of the current insulator is collected, the leakage current is converted into an electrical signal and then pre-processed, and the specific method for obtaining the induced signal is as follows: Obtain the leakage current of the current insulator and convert the leakage current into an electrical signal; Amplify, low-pass filter, band-pass filter and compensate the electrical signal, and finally convert it into a digital signal; The digital signal is converted from the time domain to the frequency domain, the required features are extracted, and the sensing signal is obtained.

[0013] A further improvement of the present invention is that the specific method for processing the sensing signal to obtain leakage current data is as follows: Acquire sensing signals and extract key features from the sensing signals; Time series analysis is used to identify long-term trends and periodic fluctuations in key features, which constitute the leakage current data.

[0014] A further improvement of the present invention is that the specific method of analyzing the leakage current, extracting the current contamination data, and storing the contamination data in the contamination file is as follows: Based on the analysis of leakage current data and combined with historical pollution archives, a relationship model between leakage current and pollution degree is established; Extract the data features of the current pollution, standardize the extracted pollution data, and calibrate the leakage current data and the pollution level according to the relationship model between leakage current and pollution level; The calibrated leakage current data and pollution level are stored in the pollution file.

[0015] A further improvement of the present invention is that, based on the current pollution data, the pollution level trend is predicted, and based on the pollution level trend, an index characterizing the pollution degree characteristics is obtained. The specific method for completing the insulator pollution degree perception is as follows: Obtain current pollution data, analyze historical trends of current pollution data, identify periodic changes, long-term trends and emergencies in current pollution data, and generate predicted values ​​of pollution levels based on periodic changes, long-term trends and emergencies in current pollution data; According to the predicted value of the pollution level, characteristic indicators representing the change of pollution degree are obtained, and abnormal thresholds are set according to the characteristic indicators of the change of pollution degree to complete the perception of insulator pollution degree.

[0016] In a third aspect, the present invention provides an integrated insulator contamination sensing system based on a magnetoresistive chip, comprising: The model building module is used to establish a pollution file based on the historical data of insulator leakage current, and to build a pollution degree assessment model based on the pollution file; A preprocessing module is used to collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain an induction signal; A signal processing module is used to process the sensing signal to obtain leakage current data; A data storage module is used to analyze the leakage current, extract the current contamination data, and store the contamination data in the contamination file; The pollution level perception module is used to predict the pollution level trend based on the current pollution data, obtain indicators that characterize the pollution level characteristics based on the pollution level trend, and complete the pollution level perception of the insulator.

[0017] In a fourth aspect, the present invention provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of an integrated insulator contamination degree sensing method based on a magnetoresistive chip when executing the computer program.

[0018] In a fifth aspect, the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of an integrated insulator contamination degree sensing method based on a magnetoresistive chip.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention optimizes the design and structure of the system so that it can be compatible with various types of insulator structures and adapt to different power equipment and environmental requirements. It is not only suitable for traditional linear insulators, but also can be used on insulators with curved, complex or special structures without large-scale customized design or adjustment. This greatly improves the adaptability of the equipment and enhances the versatility of the system in different installation scenarios. The present invention can stably collect current leakage data on various insulator structures, avoid signal loss or interference caused by structural mismatch, and accurate data acquisition provides reliable data support for subsequent signal processing and analysis, ensuring the accuracy and stability of the sensing signal. In particular, on insulators with complex or special shapes, errors caused by mismatch between the sensing element and the insulator can be avoided, thereby improving the accuracy of the overall monitoring system. Since the present invention can adapt to insulators of different structures, the installation process does not require additional customized adjustments or cumbersome configurations, which simplifies the deployment of the system, and maintenance personnel can complete the installation and commissioning of the equipment more efficiently, reducing installation problems or equipment failures caused by incompatibility. In addition, after the adaptability is improved, the long-term maintenance of the system also becomes easier because there is no need to make separate adjustments or replacements for different types of insulators. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a system diagram of the present invention; Figure 2 A system diagram of the perception core system and the main control system in the present invention; Figure 3 This is a system diagram of the edge intelligent computing module in the present invention; Figure 4 is a flow chart of the present invention; Figure 5 is a system diagram of Example 6; Figure 6This is a system diagram of Example 12. DETAILED DESCRIPTION

[0021] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.

[0022] Embodiment 1: See also Figure 1 and Figure 2 , an integrated insulator contamination sensing system based on magnetoresistive chip, including: The sensing core system is used to obtain the leakage current of the insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain the sensing signal; The main control system is used to process the sensing signal and obtain leakage current data; The edge intelligent computing module is used to analyze the leakage current, extract the current pollution data, predict the pollution level trend based on the current pollution data, and obtain indicators that characterize the pollution level characteristics based on the pollution level trend.

[0023] Embodiment 2: See also Figure 1 and Figure 2 , the core perception system includes: Circuit protection structure for diverting insulator leakage current; The tunneling magnetoresistance effect structure is used to convert the leakage current into an electrical signal and transmit it to the main control system.

[0024] After the drainage structure of the insulator leakage current passes the overcurrent / overvoltage protection, the tunneling magnetoresistance effect structure TMR outputs an electrical signal to the main control system through magnetic field induction; at the same time, a thin film platinum resistor structure is designed as a temperature sensitive element, a humidity sensitive capacitor structure is designed as a humidity sensitive element, and a CCD photosensitive film is used as a haze detection sensitive element. The tunneling magnetoresistance effect structure TMR, platinum resistor structure, humidity sensitive capacitor structure, and CCD photosensitive film structure share one amplification circuit. At the same time, the multi-parameter integrated sensing device is used as an external sensor, and its sensing signal is input into the main control system for processing and analysis. The multi-parameter integrated sensing device includes a temperature sensor, a humidity sensor, a wind sensor, a haze sensor, and a leakage current sensor.

[0025] Embodiment 3: See also Figure 1 and Figure 2 , the main control system includes: An amplifier circuit, used for amplifying an electrical signal; A filter circuit, used for filtering the amplified electrical signal; A compensation circuit, used for compensating the filtered electrical signal; An ADC circuit, used for converting the compensated electrical signal into a digital signal; MCU is used to convert digital signals from time domain to frequency domain, extract required features, and obtain sensing signals; Data transmission circuit, used to transmit the sensing signal to the edge intelligent computing module.

[0026] The main control system and the core perception system (except the wind force and speed sensor) are integrated in the form of ASIC dedicated integrated circuits to form an integrated circuit board with small size, low power consumption and more functions.

[0027] The power supply module adopts solar panels and batteries to supply power, and at the same time adds an energy management module to manage the charging and discharging mode and power usage method.

[0028] Embodiment 4: See also Figure 3 , the edge intelligent computing module includes: A calculation unit, used to analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; The RISC-V main control unit is used to predict the pollution level trend based on the current pollution data, and obtain indicators characterizing the pollution level characteristics based on the pollution level trend.

[0029] The perception data collected by the main control system is processed by the ADC and the computing unit, and then input into the MCU main control unit for analysis. The RISC-V main control unit is used, which has independent customization requirements and can realize lightweight algorithm analysis of perception data. Through the arrangement and coupling design of the RISC-V main control unit, access unit, signal processing unit, etc. with the AI ​​accelerator, heterogeneous compatibility and co-processing technology, the security, feasibility, low power consumption and low cost of edge intelligent computing are realized. By sinking the pollution analysis algorithm to the edge side, real-time calculation of pollution can be realized.

[0030] Embodiment 5: See also Figure 4 , an integrated insulator contamination degree sensing method based on a magnetoresistive chip comprises the following steps: S1, based on the historical data of insulator leakage current, a pollution file is established, and based on the pollution file, a pollution degree assessment model is constructed.

[0031] S2, collects the leakage current of the current insulator, converts the leakage current into an electrical signal and performs preprocessing to obtain an induction signal.

[0032] S3, processing the sensing signal to obtain leakage current data.

[0033] S4, analyzing the leakage current, extracting the current pollution data, and storing the pollution data in the pollution file.

[0034] S5, predict the pollution level trend based on the current pollution data, obtain indicators characterizing the pollution level characteristics based on the pollution level trend, and complete the insulator pollution level perception.

[0035] Embodiment 6: See also Figure 5 , an integrated insulator contamination sensing system based on magnetoresistive chip, including: The model building module is used to establish a pollution file based on the historical data of insulator leakage current, and to build a pollution degree assessment model based on the pollution file; A preprocessing module is used to collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain an induction signal; A signal processing module is used to process the sensing signal to obtain leakage current data; A data storage module, used to analyze the leakage current, extract the current contamination data, and store the contamination data in the contamination file; The pollution level perception module is used to predict the pollution level trend based on the current pollution data, obtain indicators that characterize the pollution level characteristics based on the pollution level trend, and complete the pollution level perception of the insulator.

[0036] Embodiment 7: According to the historical data of insulator leakage current, a pollution file is established. According to the pollution file, the specific method of constructing the pollution degree assessment model is as follows: Collect leakage current data from insulator systems at different locations and under different working conditions to ensure the breadth and representativeness of the data sources. The data should include leakage current fluctuations in time series, environmental factors (such as air temperature, humidity, dust concentration, etc.), and insulator operating conditions (such as voltage, load, etc.). Extract relevant features from the leakage current time series, including mean, standard deviation, peak value, frequency component, etc. In addition, extract the changing trend of environmental factors and their impact on leakage current fluctuations (for example, how weather factors affect the change of leakage current). Clean the data for the required features, remove outliers, missing data and noise, and perform standardization to ensure data consistency and availability.

[0037] According to the characteristics of the leakage current and the actual situation of the historical pollution level, define different pollution levels (such as light, moderate, and severe pollution), and specify the corresponding leakage current threshold range for each pollution level. Analyze the relationship between the pollution level and environmental conditions (such as air humidity, dust concentration, etc.) and operating conditions (such as voltage, temperature, etc.). For example, analyze the changes in pollution level under different weather conditions in combination with climate data. Based on historical data and analysis results, form an archive that records the historical data of pollution level and corresponding leakage current and related environmental parameters. The archive can be updated at any time to reflect the evolution of pollution in different regions and under different operating conditions.

[0038] Select the regression analysis method to establish a preliminary pollution assessment model based on the corresponding relationship in the pollution archive. Use the historical data in the pollution archive (including leakage current characteristics and environmental factors) to train the preliminary pollution assessment model. Use cross-validation, grid search and other technologies to adjust the model parameters and optimize the model's prediction performance. Compare the accuracy of different algorithms and select the model that best suits the current task. Verify the generalization ability of the model to ensure that the pollution level can be accurately assessed in different situations.

[0039] Embodiment 8: The specific method of collecting the leakage current of the current insulator, converting the leakage current into an electrical signal and preprocessing it to obtain the induction signal is as follows: Select suitable sensors to be installed on or around the insulator to ensure that leakage current data can be collected in real time. The sensor needs to have high precision and high sensitivity to accurately capture tiny current fluctuations. Convert the leakage current signal into an electrical signal, which can be done by using signal conditioning circuits (such as amplifiers, filters, etc.). The current signal usually needs to be amplified, low-pass filtered, and band-pass filtered to better match the subsequent data processing system. Use Fourier transform to convert the signal from the time domain to the frequency domain and analyze the frequency components in the signal. Through frequency domain feature extraction, the periodic changes of the leakage current can be identified, or whether there is frequency interference in the signal can be determined, the most representative features can be extracted, and the signal features can be standardized to ensure the consistency and comparability of the data and obtain the induced signal.

[0040] Embodiment 9: The specific method for processing the sensing signal to obtain the leakage current data is as follows: Acquire the sensing signal and extract the key features of the sensing signal, such as maximum value, minimum value, mean value, standard deviation, etc. These features can help identify the changing trend of the leakage current and determine whether the equipment is in normal working condition. Use time series analysis methods to identify the long-term trend and periodic fluctuations of the sensing signal. Through trend analysis, it is possible to evaluate the operating status of the equipment and detect whether there are abnormal current fluctuations.

[0041] Embodiment 10: The specific method for analyzing the leakage current, extracting the current pollution data, and storing the pollution data in the pollution file is as follows: Based on the analysis of leakage current data and combined with historical pollution archives, a relationship model between leakage current and pollution degree is established; the current pollution level is determined using the characteristics of the current (such as peak value, mean value, fluctuation range, etc.). Based on the previously established model, the current pollution degree (such as mild, moderate or severe) is determined and compared with the corresponding standards.

[0042] Extract the data features of the current pollution, for example, record the current leakage current value, pollution level, environmental conditions (such as humidity, temperature), etc. These features will be stored in the archive as pollution data. Standardize the extracted pollution data to ensure that the pollution data at different times, locations, and environmental conditions are comparable. For example, use normalization technology to unify different data dimensions to the same scale to facilitate comparative analysis of long-term data. Calibrate the leakage current data corresponding to the pollution level, for example, calibrate mild pollution as "1", moderate pollution as "2", and severe pollution as "3".

[0043] The calibrated leakage current data and pollution level are stored in the pollution file, and the pollution data collected each time is classified and stored according to time, location, environmental conditions, etc. Each pollution record includes leakage current value, pollution level, pollution change trend and other information, as well as measurement timestamp, equipment number and other metadata for easy traceability and management.

[0044] Embodiment 11: According to the current pollution data, the pollution level trend is predicted. According to the pollution level trend, the index characterizing the pollution degree characteristics is obtained. The specific method of completing the insulator pollution degree perception is as follows: Extract historical pollution data from pollution archives and perform data cleaning, denoising and standardization. Ensure that the data is complete and not missing, and that the dimensions of each feature are unified to facilitate model training and prediction. Analyze historical trends in pollution data to identify cyclical changes, long-term trends and emergencies in the data. Use current and historical data to train prediction models to generate predicted values ​​of pollution levels for a period of time in the future.

[0045] According to the predicted value of the pollution level, characteristic indicators that characterize the change of pollution level are obtained. These indicators may include the pollution growth rate, the magnitude of pollution change, the periodicity of pollution level change, etc. For example, the pollution growth rate can be calculated by the rate of change of the predicted value, reflecting the speed of pollution accumulation; the periodic indicators can be extracted by the characteristics of periodic fluctuations to identify the influence of seasonal or environmental factors. According to the characteristic indicators, the abnormal threshold is set. When the pollution level changes beyond the preset alarm standard, the alarm mechanism is triggered to remind the equipment maintenance personnel to check or clean.

[0046] Embodiment 12: See also Figure 6 As shown, the present invention also provides an electronic device 100 of an integrated insulator contamination sensing method based on a magnetoresistive chip; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0047] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the integrated insulator contamination degree sensing method based on the magnetoresistive chip described in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0048] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and uses various interfaces and lines to connect various parts of the entire electronic device 100.

[0049] The memory 101 in the electronic device 100 stores a plurality of instructions to implement an integrated insulator contamination degree sensing method based on a magnetoresistive chip, and the processor 102 can execute the plurality of instructions to implement: According to the historical data of insulator leakage current, a pollution file is established, and based on the pollution file, a pollution degree assessment model is constructed; Collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then pre-process it to obtain an induction signal; Processing the sensing signal to obtain leakage current data; Analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; According to the current pollution data, the pollution level trend is predicted. According to the pollution level trend, the index characterizing the pollution degree characteristics is obtained to complete the insulator pollution degree perception.

[0050] Example 5 If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0051] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0053] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. The integrated insulator contamination sensing system based on magnetoresistive chip is characterized by: include: The sensing core system is used to obtain the leakage current of the insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain the sensing signal; The main control system is used to process the sensing signal and obtain leakage current data; The edge intelligent computing module is used to analyze the leakage current, extract the current pollution data, predict the pollution level trend based on the current pollution data, and obtain indicators that characterize the pollution level characteristics based on the pollution level trend.

2. The integrated insulator contamination sensing system based on magnetoresistive chip according to claim 1 is characterized in that: The core perception system includes: Circuit protection structure for diverting insulator leakage current; The tunneling magnetoresistance effect structure is used to convert the leakage current into an electrical signal and transmit it to the main control system.

3. The integrated insulator contamination sensing system based on magnetoresistive chip according to claim 1 is characterized in that: The main control system includes: An amplifier circuit, used for amplifying an electrical signal; A filter circuit, used for filtering the amplified electrical signal; A compensation circuit, used for compensating the filtered electrical signal; An ADC circuit, used for converting the compensated electrical signal into a digital signal; MCU is used to convert digital signals from time domain to frequency domain, extract required features, and obtain sensing signals; Data transmission circuit, used to transmit the sensing signal to the edge intelligent computing module.

4. The integrated insulator contamination sensing system based on magnetoresistive chip according to claim 1 is characterized in that: The edge intelligent computing module includes: A calculation unit, used to analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; The RISC-V main control unit is used to predict the pollution level trend based on the current pollution data, and obtain indicators characterizing the pollution level characteristics based on the pollution level trend.

5. An integrated insulator contamination degree sensing method based on a magnetoresistive chip is characterized in that: The following steps are involved: According to the historical data of insulator leakage current, a pollution file is established, and based on the pollution file, a pollution degree assessment model is constructed; Collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then pre-process it to obtain an induction signal; Processing the sensing signal to obtain leakage current data; Analyze the leakage current, extract the current pollution data, and store the pollution data in the pollution file; According to the current pollution data, the pollution level trend is predicted. According to the pollution level trend, the index characterizing the pollution degree characteristics is obtained to complete the insulator pollution degree perception.

6. The integrated insulator contamination degree sensing method based on magnetoresistive chip according to claim 5 is characterized in that: According to the historical data of insulator leakage current, a pollution file is established. According to the pollution file, the specific method of constructing the pollution degree assessment model is as follows: Obtain historical data of leakage current, extract required features from the historical data, perform data cleaning on the required features, remove outliers and perform standardization to obtain the required leakage current features; According to the preset pollution level, the characteristics of the leakage current are divided into different pollution levels; Analyze the correspondence between different pollution levels and historical data, and summarize the analysis results into pollution files; According to the corresponding relationship in the pollution files, the regression analysis method is used to establish a preliminary pollution degree assessment model, and the historical data is used to train the preliminary pollution degree assessment model to obtain the final pollution degree assessment model.

7. The integrated insulator contamination degree sensing method based on magnetoresistive chip according to claim 5 is characterized in that: The specific method of collecting the leakage current of the current insulator, converting the leakage current into an electrical signal and preprocessing it to obtain the induction signal is as follows: Obtain the leakage current of the current insulator and convert the leakage current into an electrical signal; Amplify, low-pass filter, band-pass filter and compensate the electrical signal, and finally convert it into a digital signal; The digital signal is converted from the time domain to the frequency domain, the required features are extracted, and the sensing signal is obtained.

8. The integrated insulator contamination degree sensing method based on magnetoresistive chip according to claim 5 is characterized in that: The specific method for processing the sensing signal to obtain the leakage current data is as follows: Acquire sensing signals and extract key features from the sensing signals; Time series analysis is used to identify long-term trends and periodic fluctuations in key features, which constitute the leakage current data.

9. The integrated insulator contamination degree sensing method based on magnetoresistive chip according to claim 5 is characterized in that: The specific method for analyzing the leakage current, extracting the current pollution data, and storing the pollution data in the pollution file is as follows: Based on the analysis of leakage current data and combined with historical pollution archives, a relationship model between leakage current and pollution degree is established; Extract the data features of the current pollution, standardize the extracted pollution data, and calibrate the leakage current data and the pollution level according to the relationship model between leakage current and pollution level; The calibrated leakage current data and pollution level are stored in the pollution file.

10. The integrated insulator contamination degree sensing method based on magnetoresistive chip according to claim 5 is characterized in that: According to the current pollution data, the pollution level trend is predicted. According to the pollution level trend, the index characterizing the pollution degree characteristics is obtained. The specific method of completing the insulator pollution degree perception is as follows: Obtain current pollution data, analyze historical trends of current pollution data, identify periodic changes, long-term trends and emergencies in current pollution data, and generate predicted values ​​of pollution levels based on periodic changes, long-term trends and emergencies in current pollution data; According to the predicted value of the pollution level, characteristic indicators representing the change of pollution degree are obtained, and abnormal thresholds are set according to the characteristic indicators of the change of pollution degree to complete the perception of insulator pollution degree.

11. The integrated insulator contamination sensing system based on magnetoresistive chip is characterized by: include: The model building module is used to establish a pollution file based on the historical data of insulator leakage current, and to build a pollution degree assessment model based on the pollution file; A preprocessing module is used to collect the leakage current of the current insulator, convert the leakage current into an electrical signal, and then perform preprocessing to obtain an induction signal; A signal processing module is used to process the sensing signal to obtain leakage current data; A data storage module, used to analyze the leakage current, extract the current contamination data, and store the contamination data in the contamination file; The pollution level perception module is used to predict the pollution level trend based on the current pollution data, obtain indicators characterizing the pollution level characteristics based on the pollution level trend, and complete the pollution level perception of the insulator.

12. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the integrated insulator contamination degree sensing method based on a magnetoresistive chip as described in any one of claims 5 to 10 are implemented.

13. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the integrated insulator contamination degree sensing method based on a magnetoresistive chip as described in any one of claims 5 to 10 are implemented.

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