Anti-interference shielding method for capacitor outgoing line

Abstract

The invention provides an anti-interference shielding method for a capacitor outgoing line, and relates to the technical field of signal anti-interference shielding, and the method comprises the steps: installing a filter group which comprises a multi-stage filtering device and a self-adaptive filter; identifying an input signal by using a spectrum analyzer, and analyzing and determining multi-source interference characteristics; determining multi-stage working parameters of a multi-stage filtering device according to the multi-source interference frequency, the multi-source interference intensity and the multi-source duration matching, and optimizing to obtain optimal working parameters of an adaptive filter; and controlling the filter bank to perform anti-interference shielding according to the multi-stage working parameters and the optimal working parameters. The technical problems that an existing anti-interference shielding method of the capacitor outgoing line is difficult to effectively deal with a complex interference source and poor in anti-interference performance can be solved, interference signals of different frequency bands can be effectively restrained through combination of multi-stage filtering and the self-adaptive filter, and the anti-interference performance of the capacitor outgoing line is improved. The influence of external noise on a capacitor outgoing line power supply port is reduced, and the anti-interference capability is improved.

Description

Technical Field

[0001] The present application relates to the technical field of signal anti-interference shielding, and in particular to an anti-interference shielding method for capacitor lead wires. Background Art

[0002] In modern electronic equipment and power systems, capacitors are important components and are widely used in power filtering, energy storage, pulse smoothing and other fields. Especially in the fields of power, communication, industrial automation, etc., the stability and signal quality of capacitors directly affect the normal operation of the system. However, with the continuous expansion of the scale of electronic equipment and the increasing complexity of the working environment, the problem of electromagnetic interference (EMI) has become more and more serious. In particular, the capacitor lead wire, as a key channel connecting the power supply and the load, is often exposed to the influence of various external interference sources, resulting in a significant impact on its performance.

[0003] At present, the traditional anti-interference shielding method of capacitor lead wire mainly relies on simple filtering technology, such as low-pass filter or high-pass filter of single frequency band. Although these methods can suppress electromagnetic interference to a certain extent, they are usually unable to cope with complex and multi-source interference environments. Summary of the invention

[0004] The purpose of the present application is to provide an anti-interference shielding method for capacitor lead wires, so as to solve the technical problem that the existing anti-interference shielding method for capacitor lead wires is difficult to effectively deal with complex interference sources and has poor anti-interference performance.

[0005] In view of the above problems, the present application provides an anti-interference shielding method for capacitor lead wires, comprising: installing a filter group at the power port of the capacitor lead wire, wherein the filter group includes a multi-stage filtering device and an adaptive filter, and the multi-stage filtering device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter; using a spectrum analyzer to identify the input signal, and analyzing and determining the multi-source interference characteristics, wherein the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity and multi-source duration; determining the multi-stage working parameters of the multi-stage filtering device according to the matching of the multi-source interference frequency, multi-source interference intensity and multi-source duration, and optimizing and obtaining the optimal working parameters of the adaptive filter; controlling the filter group for anti-interference shielding according to the multi-stage working parameters and the optimal working parameters.

[0006] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: integrating the multi-source interference frequencies to determine the interference frequency range; dividing the interference frequency range according to the functional parameter comparison table of the multi-stage filtering device to determine multiple interference frequency bands; calculating the interference intensity mean and the interference duration mean of each interference frequency band according to the multi-source interference intensity and the multi-source duration, and determining multiple interference intensity means and multiple interference duration means; determining the multi-stage working parameters of the multi-stage filtering device according to the matching of the multiple interference frequency bands, the multiple interference intensity means and the multiple interference duration means.

[0007] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: inputting the multiple interference frequency bands into the functional parameter comparison table of the multi-stage filtering device for matching, and outputting the activated filter type; based on the mapping relationship between the interference intensity, interference duration and filter attenuation of each filter in the multi-stage filtering device, determining multiple adaptive filter attenuations according to the matching of the multiple interference intensity means and the multiple interference duration means; combining the activated filter type and the multiple adaptive filter attenuations, and outputting the multi-stage working parameters.

[0008] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: dividing the interference frequency range according to a functional parameter comparison table of a multi-stage filtering device, and determining an overflow interference frequency range that does not meet the functional parameters of the multi-stage filtering device; identifying interference types according to the overflow interference frequency range, and determining multiple interference sources; calculating the overflow interference intensity mean and the overflow duration mean of the multiple interference sources according to the multi-source interference intensity and the multi-source duration, respectively, to obtain multiple overflow interference intensity means and multiple overflow duration means; and optimizing based on the multiple interference sources, the multiple overflow interference intensity means and the multiple overflow duration means to obtain the optimal operating parameters of the adaptive filter.

[0009] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: optimizing the parameter update step size and the filter coefficient according to the multiple interference sources, multiple overflow interference intensity averages and multiple overflow duration averages, and determining the optimal update step size and the optimal filter coefficient; and using the optimal update step size and the optimal filter coefficient as the optimal working parameters.

[0010] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: obtaining a parameter update step adjustment space and a filter coefficient adjustment space, and randomly selecting a first parameter update step and a first filter coefficient, and combining them to obtain a first working parameter; constructing a filter simulation space of the adaptive filter, and in the filter simulation space, performing an anti-interference simulation according to the multiple interference sources, multiple overflow interference intensity means, multiple overflow duration means, and the first working parameter, and outputting a first simulation result, wherein the first simulation result includes a first filter error and a first working duration; determining a first filter fitness based on the first filter error and the first working duration; continuing to perform random parameter selection and fitness evaluation in the parameter update step adjustment space and the filter coefficient adjustment space until a predetermined number of convergence times is reached, and selecting the working parameter corresponding to the maximum filter fitness as the optimal working parameter, wherein the optimal working parameter includes an optimal update step and an optimal filter coefficient.

[0011] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: configuring a filter error weight and a work efficiency weight, wherein the sum of the filter error weight and the work efficiency weight is 1; based on the filter error weight and the work efficiency weight, performing a weighted calculation on the first filter error and the first working time, and outputting a first filter fitness, wherein the filter fitness is negatively correlated with the filter error and the working time.

[0012] Optionally, the anti-interference shielding method for the capacitor lead wire also includes: monitoring and obtaining the input signal change rate within a predetermined time zone, and setting a work efficiency weight according to the input signal change rate, wherein the work efficiency weight is positively correlated with the input signal change rate; and obtaining the filtering error weight by subtracting the work efficiency weight from 1.

[0013] The technical solution provided in this application has at least the following technical effects or advantages: By installing a filter group at the power port of the capacitor lead wire, wherein the filter group includes a multi-stage filter device and an adaptive filter, and the multi-stage filter device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter; then using a spectrum analyzer to identify the input signal, analyzing and determining the multi-source interference characteristics, wherein the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity and multi-source duration; then according to the multi-source interference frequency, multi-source interference intensity and multi-source duration, the multi-stage working parameters of the multi-stage filter device are matched and determined, and the optimal working parameters of the adaptive filter are obtained by optimization; finally, according to the multi-stage working parameters and the optimal working parameters, the filter group is controlled to perform anti-interference shielding. In other words, through the combination of multi-stage filtering and adaptive filtering, noise in different frequency bands can be accurately removed, interference signals in different frequency bands can be effectively suppressed, the influence of external noise on the power port of the capacitor lead wire can be reduced, the anti-interference ability of the capacitor lead wire can be improved, and the stability of the signal and the normal operation of the circuit can be ensured.

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0016] Figure 1 A schematic flow chart of an anti-interference shielding method for a capacitor lead wire of the present application; Figure 2 A schematic diagram of a flow chart for determining multi-stage working parameters of a multi-stage filtering device in an anti-interference shielding method for capacitor lead wires of the present application. DETAILED DESCRIPTION

[0017] This application provides an anti-interference shielding method for capacitor lead wires, which solves the technical problem that the existing anti-interference shielding method for capacitor lead wires is difficult to effectively deal with complex interference sources and has poor anti-interference performance. Through the combination of multi-stage filtering and adaptive filters, it is possible to accurately remove noise in different frequency bands, effectively suppress interference signals in different frequency bands, reduce the impact of external noise on the power port of the capacitor lead wire, improve the anti-interference ability of the capacitor lead wire, and ensure the stability of the signal and the normal operation of the circuit.

[0018] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0019] For examples, please see the attached Figure 1 The present application provides an anti-interference shielding method for capacitor lead wires, which specifically includes the following steps: Step 1: Install a filter group at the power port of the capacitor lead wire, wherein the filter group includes a multi-stage filter device and an adaptive filter, and the multi-stage filter device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter.

[0020] Specifically, first, a filter group is installed at the power port of the capacitor lead wire, wherein the filter group includes a multi-stage filter device and an adaptive filter, and the multi-stage filter device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter; the low-pass filter is mainly used to suppress high-frequency noise and interference. The low-pass filter allows low-frequency signals to pass through, and filters out interference signals higher than the set cut-off frequency. The filter can effectively remove high-frequency electromagnetic interference that may exist in the capacitor lead wire and reduce the noise impact of the power port; the high-pass filter is mainly used to remove low-frequency noise, such as power supply voltage fluctuations and low-frequency interference signals. The high-pass filter allows signals higher than the cut-off frequency to pass through, suppresses low-frequency interference components, and ensures the normal operation of the capacitor lead wire; the band-pass filter is used to retain a specific frequency band. The bandpass filter can effectively resist interference sources within a certain frequency range and maintain the integrity of the signal. The notch filter is specially designed to suppress a certain frequency point or frequency band. For strong interference at specific frequencies, the notch filter can accurately weaken or remove them to prevent the interference of these frequencies from affecting the system performance. The adaptive filter is used in conjunction with the above-mentioned multi-stage filtering device, and can dynamically adjust its working parameters according to the changes of the input signal. The adaptive filter usually adopts an online learning algorithm (such as LMS or RLS algorithm) to automatically optimize the filtering effect according to the actual interference environment. The adaptive filter is particularly suitable for situations where the frequency and intensity of the interference signal change over time, and can adjust its filtering characteristics in real time to ensure continuous anti-interference ability.

[0021] Among them, when the power port of the capacitor lead wire receives an interference signal from the outside, the filter group will first attenuate the interference components in the signal layer by layer through a multi-stage filtering device. After the signal is processed by the multi-stage filter, the remaining interference signal will be sent to the adaptive filter for further optimization. The adaptive filter automatically adjusts its filtering parameters according to the signal characteristics to adapt to the changing interference environment, thereby minimizing the impact of the interference signal on the power port of the capacitor lead wire.

[0022] Through the combination of multi-stage filters, interference signals in different frequency bands can be efficiently suppressed to improve the comprehensiveness of anti-interference. At the same time, the adaptive filter can adjust its working parameters in real time to cope with changes in the frequency and intensity of interference signals in the external environment, ensuring that the system can operate stably even in complex environments.

[0023] Step 2: Use a spectrum analyzer to identify the input signal and analyze and determine the multi-source interference characteristics, where the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity, and multi-source duration.

[0024] Specifically, the spectrum analyzer is an important tool for analyzing electromagnetic wave signals. It can provide a detailed image of the input signal in the frequency domain. By connecting the input signal of the capacitor lead power port to the spectrum analyzer, the spectrum data of the signal can be obtained. The data contains the various frequency components of the signal and the intensity information of different frequency bands. The spectrum analyzer can convert the input signal from the time domain to the frequency domain, helping engineers to accurately identify various interference components in the signal. Through spectrum analysis, the characteristics of multi-source interference can be effectively determined, thereby providing data support for subsequent filter parameter optimization.

[0025] The input signal is identified by a spectrum analyzer, and the multi-source interference characteristics are analyzed and determined, wherein the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity and multi-source duration. By analyzing the spectrum diagram, the different frequency components in the signal can be identified. The interference signal usually appears as a sudden peak in the spectrum, indicating that there is strong noise at these frequencies. The spectrum analyzer can display the main frequency of the interference source and its harmonics to help identify the nature of the interference source; the interference intensity refers to the amplitude of the interference signal in the spectrum, usually expressed as power spectral density. The spectrum analyzer can measure the amplitude and power of the signal within a specific frequency range. The intensity of the interference signal directly affects the working quality of the system. Interference with higher intensity will have a greater impact on the equipment; the duration of the interference refers to the duration of the interference signal in time. Although the spectrum analyzer mainly provides frequency domain information, it can be combined with time domain analysis to determine the duration of the interference. The time domain waveform can display the time period when the interference signal appears, thereby helping to determine the instantaneous or continuous nature of the interference.

[0026] In spectrum analysis, multi-source interference usually appears as the superposition of multiple frequency components, which may come from different interference sources. Through spectrum analysis, the frequency range, intensity and duration of different interference sources can be identified. For example, through a spectrum analyzer, the frequency range occupied by the interference signal can be clearly identified, including the main interference frequency (such as power frequency) and possible secondary interference frequency (such as high-frequency noise generated by equipment switches); the intensity of each frequency component indicates its impact on the system. By evaluating the intensity of interference signals in different frequency bands, the impact of each interference source can be accurately determined, thereby helping to determine the frequency band for key filtering; the time domain characteristic analysis of the interference signal can provide information on the duration of the interference. If the interference signal is continuous, a long-term and effective filtering strategy can be adopted; if the interference signal is transient, a transient filter may be required to deal with it.

[0027] Using a spectrum analyzer to identify input signals and analyze multi-source interference characteristics can help accurately identify the frequency, intensity, and duration of the interference source. This process provides a scientific basis for subsequent filter design and can design reasonable multi-stage filters and adaptive filtering strategies for different interference signals, thereby effectively improving the anti-interference ability of the capacitor lead wires and ensuring stable system operation.

[0028] Step three: Determine the multi-stage working parameters of the multi-stage filtering device according to the multi-source interference frequency, multi-source interference intensity and multi-source duration matching, and optimize and obtain the optimal working parameters of the adaptive filter.

[0029] Further, if Figure 2 As shown, step three of this application also includes: The multi-source interference frequencies are integrated to determine the interference frequency range; the interference frequency range is divided according to the functional parameter comparison table of the multi-stage filtering device to determine multiple interference frequency bands; according to the multi-source interference intensity and the multi-source duration, the interference intensity mean and the interference duration mean of each interference frequency band are calculated respectively to determine multiple interference intensity means and multiple interference duration means.

[0030] Specifically, the spectrum analyzer is used to obtain the spectrum diagram of the signal and identify the frequencies of multiple interference sources. These interference signals may come from different sources and are distributed in different frequency bands. First, these interference frequencies need to be integrated into an interference frequency range, that is, the upper and lower limits of the frequencies of all interference sources are determined. For example, if there is 50Hz grid interference, 1kHz high-frequency noise and 20MHz harmonic interference, then the interference frequency range includes the frequency band between 50Hz and 20MHz. Then, according to the design specifications and functions of the multi-stage filtering device (including low-pass filter, high-pass filter, band-pass filter and notch filter), the working frequency band of each filter is defined. For example, the low-pass filter may set the cutoff frequency to 500Hz, the high-pass filter may set the cutoff frequency to 1kHz, the band-pass filter may be suitable for the frequency band from 1kHz to 5kHz, and the notch filter can filter for a specific frequency. According to the function of the multi-stage filter, the interference frequency range will be divided into multiple different frequency bands so that each filter can effectively filter the interference in different frequency bands, such as the low frequency band (50Hz to 500Hz) for power grid noise and low-frequency interference; the medium frequency band (500Hz to 5kHz) for equipment switching noise or high-frequency interference generated by electrical equipment; the high frequency band (5kHz to 20MHz) for high-frequency interference such as high-frequency switching power supplies and radio waves.

[0031] Then, after determining the interference frequency band, the next step is to count the interference intensity in each band. The interference intensity is usually expressed by power spectrum density, that is, the noise intensity in each band. Through the spectrum analyzer, the interference intensity data in each band can be obtained, and the average intensity in the band can be calculated. This average can represent the overall intensity of the interference in the band. For example, assuming that the intensity value of a certain frequency band (500Hz to 5kHz) is different amplitude data, the average interference intensity of the band can be obtained by averaging these amplitude data. On the other hand, the interference duration refers to the duration of the interference signal in a certain interference frequency band. The duration of each interference source can be identified through time domain signal analysis. For example, on the time domain waveform, the duration of the interference signal can be judged by the duration of the signal. After determining the duration of each interference source, for each interference frequency band, the duration of all interference events in the band is calculated. The average value of the duration is obtained to obtain multiple interference intensity averages and multiple interference duration averages.

[0032] The multi-stage working parameters of the multi-stage filtering device are determined according to the matching of the multiple interference frequency bands, the multiple interference intensity averages and the multiple interference duration averages.

[0033] Furthermore, the present application also includes the following steps: The multiple interference frequency bands are input into the functional parameter comparison table of the multi-stage filtering device for matching, and the activated filter type is output; based on the mapping relationship between the interference intensity, interference duration and filter attenuation of each filter in the multi-stage filtering device, multiple adaptive filter attenuations are determined according to the matching of the multiple interference intensity means and the multiple interference duration means; the activated filter type and the multiple adaptive filter attenuations are combined to output the multi-stage working parameters.

[0034] Specifically, according to the previously calculated multiple interference frequency bands, each frequency band is matched with the filter type in the multi-stage filtering device, and the multi-stage filtering device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter, and the function of each filter is applicable to different frequency band ranges. A functional parameter comparison table is constructed, which lists the working frequency bands and corresponding working parameters of each filter. By comparing the interference frequency band with the working frequency band of the filter, it is determined which type of filter should be activated for each interference frequency band. Then, the multiple interference frequency bands are input into the functional parameter comparison table of the multi-stage filtering device for matching, and according to the matching results, the type of filter required to be activated for each interference frequency band is output, for example, low-frequency interference from 50Hz to 500Hz (activating low-pass filter), intermediate frequency interference from 500Hz to 5kHz (activating band-pass filter), and high-frequency interference from 5kHz to 20MHz (activating high-pass filter).

[0035] Next, based on the mapping relationship between the interference intensity, interference duration and filter attenuation of each filter in the multi-stage filtering device, wherein each filter in the multi-stage filtering device usually has a mapping relationship between attenuation, interference intensity and interference duration, and the mapping relationship can be obtained through experimental data or prior knowledge, that is, according to interference signals of different intensities and durations, a suitable filter attenuation is selected. The attenuation of the filter determines the ability of the filter to suppress interference signals. The attenuation is usually expressed in decibels. The higher the value, the stronger the suppression ability of the filter; when the intensity of the interference signal is large or the duration is long, a higher attenuation needs to be selected to ensure that the filter can effectively suppress the interference; based on the mapping relationship, multiple adaptive filter attenuations are determined according to the matching of the multiple interference intensity means and the multiple interference duration means. For example, if the interference intensity of a certain frequency band is high, a larger attenuation is selected; if the interference duration is long, a filter attenuation adapted to the duration is selected to ensure that the filter can continue to work effectively during the entire interference duration.

[0036] Finally, the activated filter type and multiple adaptive filter attenuations are combined to obtain multi-stage working parameters. The multi-stage working parameters are the specific working configuration of each filter in the multi-stage filtering device, including filter type, attenuation, frequency range, etc. These working parameters determine the effect of the filter when processing different interference signals, ensuring that each filter can respond accordingly according to different interference characteristics.

[0037] By inputting multiple interference frequency bands into the functional parameter comparison table of the multi-stage filtering device, the type of filter that needs to be activated in each frequency band can be determined, and the appropriate filtering attenuation can be selected according to the average of the interference intensity and the interference duration. Finally, the activated filter type and the adaptive attenuation are combined to output complete multi-stage working parameters. This process can ensure that the multi-stage filtering device provides the best filtering effect when facing different interference frequency bands, thereby improving the anti-interference ability of the system and ensuring the stable operation of the capacitor lead wires.

[0038] Furthermore, step three of this application also includes: The interference frequency range is divided according to the functional parameter comparison table of the multi-stage filtering device to determine the overflow interference frequency range that does not meet the functional parameters of the multi-stage filtering device; the interference type is identified according to the overflow interference frequency range to determine multiple interference sources; according to the multi-source interference intensity and the multi-source duration, the average overflow interference intensity and the average overflow duration of the multiple interference sources are calculated respectively to obtain multiple overflow interference intensity averages and multiple overflow duration averages.

[0039] Specifically, the interference frequency range is divided according to the functional parameter comparison table of the multi-stage filtering device, and the multi-stage filtering device usually filters signals in different frequency bands. The comparison table lists the working frequency band and frequency range of each filter. If the frequency range of the interference signal exceeds the working frequency band of a certain filter, it is considered to be overflow interference; according to the spectrum analysis results, the frequency range of all interference signals is first determined. Then, it is compared with the working frequency band of the filter. If there are interference frequencies that exceed the range that the filter can handle, these frequencies are considered to belong to the overflow interference frequency range.

[0040] Then, according to the overflow interference frequency range, the interference type is identified, and multiple interference sources are determined. By identifying the characteristics of the overflow interference frequency range, the interference source can be inferred. For example, the frequency band from 5kHz to 10kHz may be interference generated by the switching power supply, 10kHz to 100MHz may be radio frequency interference, and interference below 50Hz is usually power grid noise. Then, for each identified interference source, the mean strength of the interference signal is first calculated. The interference intensity is usually expressed in power spectrum density (dB). The mean interference intensity can be calculated by the signal data obtained by the spectrum analyzer; the interference duration refers to the duration of a certain interference source in a specific frequency band. According to the time domain signal, the duration of each interference source can be measured, and then the duration mean of each interference source is calculated to obtain multiple overflow interference intensity means and multiple overflow duration means. By identifying the overflow interference frequency range and classifying the interference type, multiple interference sources can be determined, and the mean of the interference intensity and interference duration can be calculated for each interference source. These means can provide data support for subsequent anti-interference design, ensuring that the filter can accurately and effectively suppress various types of overflow interference and improve the anti-interference ability of the system.

[0041] The optimal working parameters of the adaptive filter are obtained by optimizing based on the multiple interference sources, the multiple overflow interference intensity averages and the multiple overflow duration averages.

[0042] Furthermore, the present application also includes the following steps: Optimizing the parameter update step size and the filter coefficient according to the multiple interference sources, the multiple overflow interference intensity averages and the multiple overflow duration averages, and determining the optimal update step size and the optimal filter coefficient; and using the optimal update step size and the optimal filter coefficient as the optimal working parameters.

[0043] Furthermore, the present application also includes the following steps: Acquire the parameter update step adjustment space and the filter coefficient adjustment space, and randomly select the first parameter update step and the first filter coefficient, and combine them to obtain the first working parameter; construct the filter simulation space of the adaptive filter, and in the filter simulation space, perform anti-interference simulation according to the multiple interference sources, the multiple overflow interference intensity means, the multiple overflow duration means and the first working parameter, and output a first simulation result, wherein the first simulation result is a first filter error and a first working duration.

[0044] Specifically, first, obtain the parameter update step adjustment space and the filter coefficient adjustment space, wherein the filter optimization process usually involves the selection of the update step, the step determines the adjustment amount of the filter coefficient at each iteration, a step that is too large may cause the filter to be unstable, and a step that is too small may cause the convergence to be too slow, therefore, it is necessary to determine an appropriate step adjustment space, that is, a reasonable step range; the filter coefficient adjustment space defines the range of variation of the filter parameters, the filter coefficient directly affects the output signal of the filter, therefore, it is necessary to set a suitable adjustment space to ensure the performance optimization of the filter, the filter coefficient adjustment space is usually limited by the filter type (such as low pass, high pass, band pass, notch) and the working frequency band. Then, randomly select the first parameter update step and the first filter coefficient in the parameter update step adjustment space and the filter coefficient adjustment space, and combine them to obtain the first working parameter.

[0045] Construct a filtering simulation space of the adaptive filter, the filtering simulation space is used to simulate the filtering process of the adaptive filter, and the digital twin technology can be used for simulation modeling and construction; then, in the filtering simulation space, according to the multiple interference sources, the multiple overflow interference intensity means, the multiple overflow duration means and the first working parameter, the anti-interference simulation is performed, and the first simulation result is output, wherein the first simulation result is the first filtering error and the first working time, wherein the filtering error indicates whether the filter successfully removes the interference signal under specific working parameters, if the filtering error is small, it means that the filter effectively handles the interference; the working time indicates the efficiency of the filter in this working mode. If the working time is long, it means that the processing process of the filter is more complicated and may need to be optimized. By constructing the filtering simulation space through the digital twin technology, and performing the anti-interference simulation based on the characteristics of multiple interference sources and the working parameters of the adaptive filter, the performance of the filter in the actual environment can be effectively evaluated, and the simulation results, such as the filtering error and the working time, can provide data support and decision-making basis for further optimizing the filter parameters and improving the anti-interference ability.

[0046] A first filtering fitness is determined based on the first filtering error and the first working time evaluation.

[0047] Furthermore, the present application also includes the following steps: Configure the filter error weight and work efficiency weight, where the sum of the filter error weight and the work efficiency weight is 1.

[0048] Furthermore, the present application also includes the following steps: Monitor and obtain the input signal change rate within a predetermined time zone, and set a work efficiency weight according to the input signal change rate, wherein the work efficiency weight is positively correlated with the input signal change rate; and obtain the filtering error weight by subtracting the work efficiency weight from 1.

[0049] Specifically, the input signal change rate within a predetermined time zone is monitored and obtained. The input signal change rate describes how fast the signal changes within a certain period of time, and is usually expressed as the change in the signal value per unit time. To avoid excessive calculation fluctuations, the sliding window method can be used to smooth the signal, and the change rate within the sliding window can be calculated as the average change rate of the signal value within the time window; the predetermined time zone is usually a time period (for example, 1 second, 10 milliseconds, etc.), during which the signal changes are monitored, and the signal change rate can be measured at regular intervals (for example, every 10ms).

[0050] Then, the working efficiency weight is set according to the input signal change rate. The working efficiency weight reflects the priority of the filter when processing the signal, and is usually positively correlated with the signal change rate. That is, the faster the signal changes, the filter should improve its working efficiency in order to respond quickly to these changes. That is, when the input signal changes more drastically (such as sudden changes or high-frequency changes), the filter will need to increase the response speed and improve efficiency. Finally, the filter error weight is obtained by subtracting the working efficiency weight from 1.

[0051] Based on the filtering error weight and the work efficiency weight, a weighted calculation is performed on the first filtering error and the first working time, and a first filtering fitness is output, wherein the filtering fitness is negatively correlated with the filtering error and the working time.

[0052] Specifically, according to the filtering error weight and the working efficiency weight, the first filtering error and the first working time are weightedly calculated to obtain the first filtering fitness, wherein the filtering fitness is negatively correlated with the filtering error and the working time, that is, the smaller the filtering error and the shorter the working time, the higher the fitness value. The filtering fitness can be obtained by weighted calculation of the filtering error and the working time, and using the filtering error weight and the working efficiency weight. This fitness value is negatively correlated with the filtering error and the working time, and the optimization goal is to make the fitness as high as possible, that is, to reduce the filtering error and shorten the working time. This method provides a clear evaluation criterion for the performance optimization of the adaptive filter, which helps to adjust the working parameters of the filter in a dynamic environment to cope with different signal interference situations.

[0053] Continue to perform random parameter selection and fitness evaluation in the parameter update step adjustment space and the filter coefficient adjustment space until a predetermined number of convergence times is reached, and select the working parameters corresponding to the maximum filter fitness as the optimal working parameters, wherein the optimal working parameters include the optimal update step and the optimal filter coefficient.

[0054] Specifically, using the same method, continue to perform random parameter selection and fitness evaluation in the parameter update step adjustment space and the filter coefficient adjustment space until a predetermined number of convergence times is reached, and multiple working parameters and multiple filter fitness are obtained. Finally, the working parameters corresponding to the maximum filter fitness are selected as the optimal working parameters, wherein the optimal working parameters include the optimal update step size and the optimal filter coefficient.

[0055] Step 4: Control the filter group to perform anti-interference shielding according to the multi-stage working parameters and the optimal working parameters.

[0056] Specifically, the filter group is finally controlled to perform anti-interference shielding according to the multi-stage working parameters and the optimal working parameters, that is, the working state of the filter group is dynamically adjusted according to the optimized working parameters to cope with different interference sources, ensuring that the system can effectively filter out interference signals and ensure signal stability and normal operation of the system.

[0057] In summary, the anti-interference shielding method for capacitor lead wires provided in this application has the following technical effects: By installing a filter group at the power port of the capacitor lead wire, wherein the filter group includes a multi-stage filter device and an adaptive filter, and the multi-stage filter device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter; then using a spectrum analyzer to identify the input signal, analyzing and determining the multi-source interference characteristics, wherein the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity and multi-source duration; then according to the multi-source interference frequency, multi-source interference intensity and multi-source duration, the multi-stage working parameters of the multi-stage filter device are matched and determined, and the optimal working parameters of the adaptive filter are obtained by optimization; finally, according to the multi-stage working parameters and the optimal working parameters, the filter group is controlled to perform anti-interference shielding. In other words, through the combination of multi-stage filtering and adaptive filtering, noise in different frequency bands can be accurately removed, interference signals in different frequency bands can be effectively suppressed, the influence of external noise on the power port of the capacitor lead wire can be reduced, the anti-interference ability of the capacitor lead wire can be improved, and the stability of the signal and the normal operation of the circuit can be ensured.

[0058] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. An anti-interference shielding method for capacitor lead wires, characterized in that: Methods include: Install a filter group at the power supply port of the capacitor lead wire, wherein the filter group includes a multi-stage filter device and an adaptive filter, and the multi-stage filter device includes a low-pass filter, a high-pass filter, a band-pass filter and a notch filter; Using a spectrum analyzer to identify input signals, analyze and determine the multi-source interference characteristics, where the multi-source interference characteristics include multi-source interference frequency, multi-source interference intensity, and multi-source duration; Determine the multi-stage working parameters of the multi-stage filtering device according to the multi-source interference frequency, multi-source interference intensity and multi-source duration matching, and optimize and obtain the optimal working parameters of the adaptive filter; The filter group is controlled to perform anti-interference shielding according to the multi-stage working parameters and the optimal working parameters.

2. The anti-interference shielding method for capacitor lead wires according to claim 1, characterized in that: The multi-stage working parameters of the multi-stage filtering device are determined according to the multi-source interference frequency, the multi-source interference intensity and the multi-source duration matching, including: Integrating the multi-source interference frequencies to determine the interference frequency range; Dividing the interference frequency range according to the functional parameter comparison table of the multi-stage filtering device to determine multiple interference frequency bands; According to the multi-source interference intensity and the multi-source duration, respectively calculate the interference intensity mean and the interference duration mean of each interference frequency band, and determine multiple interference intensity mean values ​​and multiple interference duration mean values; The multi-stage working parameters of the multi-stage filtering device are determined according to the matching of the multiple interference frequency bands, the multiple interference intensity averages and the multiple interference duration averages.

3. The anti-interference shielding method for capacitor lead wires according to claim 2, characterized in that: The multi-stage working parameters of the multi-stage filtering device are determined according to the matching of the multiple interference frequency bands, the multiple interference intensity averages and the multiple interference duration averages, including: Input the multiple interference frequency bands into the functional parameter comparison table of the multi-stage filtering device for matching, and output the activated filter type; Based on the mapping relationship between the interference intensity, interference duration and filter attenuation of each filter in the multi-stage filtering device, a plurality of adaptive filtering attenuations are determined according to the matching of the plurality of interference intensity averages and the plurality of interference duration averages; The activation filter type and a plurality of adaptive filter attenuations are combined to output the multi-stage operating parameters.

4. The anti-interference shielding method for capacitor lead wires according to claim 2, characterized in that: The optimal working parameters of the adaptive filter are obtained by optimizing according to the multi-source interference frequency, the multi-source interference intensity and the multi-source duration, including: Dividing the interference frequency range according to the functional parameter comparison table of the multi-stage filtering device, and determining the overflow interference frequency range that does not meet the functional parameters of the multi-stage filtering device; Identify interference types according to the overflow interference frequency range and determine multiple interference sources; According to the multi-source interference intensity and the multi-source duration, respectively calculating the mean values ​​of the overflow interference intensity and the mean values ​​of the overflow duration of the multiple interference sources, and obtaining multiple mean values ​​of the overflow interference intensity and multiple mean values ​​of the overflow duration; The optimal working parameters of the adaptive filter are obtained by optimizing based on the multiple interference sources, the multiple overflow interference intensity averages and the multiple overflow duration averages.

5. The anti-interference shielding method for capacitor lead wires according to claim 4, characterized in that: The method comprises: optimizing and obtaining the optimal working parameters of the adaptive filter based on the multiple interference sources, the multiple overflow interference intensity averages and the multiple overflow duration averages, including: Optimizing the parameter update step size and the filter coefficient according to the multiple interference sources, the multiple overflow interference intensity averages and the multiple overflow duration averages, and determining the optimal update step size and the optimal filter coefficient; The optimal update step size and the optimal filter coefficient are used as the optimal working parameters.

6. The anti-interference shielding method for capacitor lead wires according to claim 5, characterized in that: Optimizing the parameter update step size and the filter coefficient according to the multiple interference sources, the multiple overflow interference intensity averages, and the multiple overflow duration averages to determine the optimal update step size and the optimal filter coefficient, including: Acquire a parameter update step size adjustment space and a filter coefficient adjustment space, and randomly select a first parameter update step size and a first filter coefficient, and combine them to obtain a first working parameter; Constructing a filtering simulation space of the adaptive filter, and performing anti-interference simulation in the filtering simulation space according to the multiple interference sources, the multiple overflow interference intensity means, the multiple overflow duration means, and the first working parameter, and outputting a first simulation result, wherein the first simulation result includes a first filtering error and a first working duration; Determine a first filtering fitness according to the first filtering error and the first working time evaluation; Continue to perform random parameter selection and fitness evaluation in the parameter update step adjustment space and the filter coefficient adjustment space until a predetermined number of convergence times is reached, and select the working parameters corresponding to the maximum filter fitness as the optimal working parameters, wherein the optimal working parameters include the optimal update step and the optimal filter coefficient.

7. The anti-interference shielding method for capacitor lead wires according to claim 6, characterized in that: Determining a first filtering fitness according to the first filtering error and the first working time includes: Configure the filter error weight and work efficiency weight, where the sum of the filter error weight and the work efficiency weight is 1; Based on the filtering error weight and the work efficiency weight, a weighted calculation is performed on the first filtering error and the first working time, and a first filtering fitness is output, wherein the filtering fitness is negatively correlated with the filtering error and the working time.

8. The anti-interference shielding method for capacitor lead wires according to claim 7, characterized in that: Configure the filter error weight and work efficiency weight, including: Monitor and obtain the input signal change rate within a predetermined time zone, and set a work efficiency weight according to the input signal change rate, wherein the work efficiency weight is positively correlated with the input signal change rate; The filtering error weight is obtained by subtracting the working efficiency weight from 1.

Images