Universal EMC automatic diagnosis rectification system

By using an automated EMC diagnostic and rectification system, which utilizes an AI-learning rule base and mechanically rotates to adjust filter network parameters, the problems of low efficiency and high cost in traditional EMC rectification are solved, achieving efficient and accurate electromagnetic compatibility testing and rectification.

CN121633652AActive Publication Date: 2026-03-10北京航天微电科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-29
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Traditional EMC rectification relies on manual experience, which is inefficient, costly, and requires highly skilled engineers, making it impossible to efficiently and automatically complete electromagnetic compatibility testing and rectification.

Method used

A combination of adjustable passive filtering module, signal acquisition module, judgment module and parameter adjustment module is adopted. The AI ​​learning rule base is used for automated diagnosis and rectification. The rectification driving signal is generated through spectrum analysis and EDA co-simulation, and the filter network parameters are adjusted by mechanical rotation.

Benefits of technology

It has automated EMC diagnosis and rectification, improved rectification efficiency and accuracy, reduced reliance on professional sites and human experience, and continuously optimized performance through an AI learning rule base.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a general EMC automatic diagnosis and rectification system. The general EMC automatic diagnosis and rectification system comprises a passive filter network and a band switch connected with the passive filter network, the signal acquisition module is connected with the adjustable passive filtering module; the judgment module is connected with the signal acquisition module and is internally provided with an AI learning type rule base; and the parameter adjusting module is connected with the judgment module and the band switch. The signal acquisition module performs spectral analysis on the EMI filtering signal, the judgment module performs EDA co-simulation based on an AI learning type rule base on spectral characteristics to determine a rectification driving signal, and the parameter adjustment module generates mechanical driving force according to the rectification driving signal to control open circuit and short circuit of the band switch. Therefore, the capacitance value, the inductance value and the resistance value of the passive filter network are adjusted. The problems that existing EMC rectification depends on a test site and manpower, efficiency is low, and accuracy is poor are solved. According to the method, the AI learning type rule base is added, deep learning is carried out through historical rectification cases, and the overall effect is improved.
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Description

Technical Field

[0001] This invention relates to the field of electromagnetic compatibility testing and rectification technology, specifically to a general-purpose automatic EMC diagnosis and rectification system. Background Technology

[0002] As the electromagnetic compatibility (EMC) performance of electronic devices receives increasing attention, EMI filters—electromagnetic interference suppression components—are being used more and more extensively in electronic devices. Traditional EMC rectification requires engineers to select EMI filters based on experience, manually adjust parameters, and assemble circuits in a specialized environment, undergoing multiple tests to verify compliance. This process is inefficient, costly, and demands a high level of experience and skill from engineers. Summary of the Invention

[0003] This invention provides a general-purpose EMC automatic diagnosis and rectification system to solve at least one of the above-mentioned technical problems.

[0004] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A general-purpose EMC automatic diagnosis and rectification system, comprising: An adjustable passive filter module includes a passive filter network composed of capacitors, inductors, and resistors, and a band switch connected to the passive filter network. The band switch is used to adjust the capacitance, inductance, and resistance values ​​of the passive filter network. The passive filter network is connected to the device under test (DUT) and is used to perform EMI filtering on the interference signals generated by the DUT during electromagnetic compatibility conducted emission testing to obtain an EMI filtered signal. The signal acquisition module is connected to the adjustable passive filter module and is used to perform spectrum analysis on the EMI filtered signal to obtain spectrum characteristic data. The judgment module is connected to the signal acquisition module and has a built-in AI learning rule base. It is used to compare the spectrum feature data with the preset standard spectrum feature data to determine whether the electromagnetic compatibility conducted emission test of the device under test is qualified. If the electromagnetic compatibility conducted emission test of the device under test is unqualified, it generates a rectification driving signal based on the AI ​​learning rule base and the spectrum feature data and EDA co-simulation. The parameter adjustment module, connected to the judgment module and the band switch, is used to generate a corresponding mechanical rotation direction and angle based on the rectification drive signal, and to control the contacts of the band switch to the corresponding gear through pure physical transmission, thereby adjusting the capacitance, inductance and resistance values ​​of the passive filter network.

[0005] Based on the above technical solution, the present invention can be further improved as follows.

[0006] Furthermore, the passive filter network includes multiple adjustable differential-mode inductors, multiple adjustable common-mode inductors, multiple differential-mode capacitor banks, and multiple common-mode capacitor banks; the band switch includes multiple first-band switches, multiple second-band switches, multiple third-band switches, and multiple fourth-band switches. In each stage of the circuit: the adjustable differential mode inductor is connected to the first band switch to form an adjustable differential mode inductor filter unit; the adjustable common mode inductor is connected to the second band switch to form an adjustable common mode inductor filter unit; the differential mode capacitor array is connected to the third band switch to form an adjustable differential mode capacitor filter unit; and the common mode capacitor array is connected to the fourth band switch to form an adjustable common mode capacitor filter unit. In each circuit: a multi-stage adjustable differential-mode inductor filter unit and a multi-stage adjustable common-mode inductor filter unit are connected in series; a multi-stage adjustable differential-mode capacitor filter unit is connected to each stage of the adjustable differential-mode inductor filter unit and each stage of the adjustable common-mode inductor filter unit; and a multi-stage adjustable common-mode capacitor filter unit is connected to each stage of the adjustable differential-mode inductor filter unit and each stage of the adjustable common-mode inductor filter unit.

[0007] Furthermore, among the various routes: The fixed terminal of the current stage adjustable differential mode inductor is connected to the fixed terminal of the previous stage first band switch, the adjustable terminal of the current stage adjustable differential mode inductor is connected to the adjustment terminal of the current stage first band switch, and the fixed terminal of the current stage first band switch is connected to the fixed terminal of the next stage adjustable differential mode inductor. The fixed terminal of the current stage adjustable common mode inductor is connected to the fixed terminal of the previous stage second band switch, the adjustable terminal of the current stage adjustable common mode inductor is connected to the adjustment terminal of the current stage second band switch, and the fixed terminal of the current stage second band switch is connected to the fixed terminal of the next stage adjustable common mode inductor. The fixed terminal of the final stage first band switch is connected to the fixed terminal of the first stage adjustable common mode inductor.

[0008] Furthermore, in each stage: one end of the multi-channel differential mode capacitor bank is interconnected, and the other end of the multi-channel differential mode capacitor bank is connected to the adjustment terminal of the multi-channel third-band switch; one end of the multi-channel common mode capacitor bank is grounded, and the other end of the multi-channel common mode capacitor bank is connected to the adjustment terminal of the multi-channel fourth-band switch. In each circuit: the fixed terminals of the multi-stage third-band switches are respectively connected to the fixed terminals of each stage of adjustable differential-mode inductors, the fixed terminals of each stage of first-band switches, the fixed terminals of each stage of adjustable common-mode inductors, and the fixed terminals of each stage of second-band switches; the fixed terminals of the multi-stage fourth-band switches are respectively connected to the fixed terminals of each stage of adjustable differential-mode inductors, the fixed terminals of each stage of first-band switches, the fixed terminals of each stage of adjustable common-mode inductors, and the fixed terminals of each stage of second-band switches. In each stage of the circuit: the differential mode capacitor bank is equipped with a resistor, one end of the resistor is connected to one end of the differential mode capacitor bank, and the other end of the resistor is connected to the fixed terminal of the third band switch.

[0009] Furthermore, the multiple paths specifically refer to four paths.

[0010] Furthermore, the signal acquisition module includes: A pre-filter, connected to the adjustable passive filter module, is used to filter the EMI filter signal for power grid-side conducted interference to obtain a pre-filter signal. A line impedance stabilization network, connected to the pre-filter, is used to provide stable high-frequency impedance; A spectrum analyzer, connected to the line impedance stabilization network, is used to perform spectrum analysis on the output signal of the line impedance stabilization network to obtain spectrum characteristic data. A preamplifier, connected to the spectrum analyzer and the judgment module, is used to amplify the spectrum feature data and transmit the amplified spectrum feature data to the judgment module.

[0011] Furthermore, the spectral feature data includes the frequency, amplitude, and bandwidth of each frequency point; the preset standard spectral feature data includes the preset standard frequency, preset standard amplitude, and preset standard bandwidth of each frequency point; The judgment module is specifically used to: compare the frequency, amplitude and bandwidth of each frequency point with the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point. If the frequency, amplitude and bandwidth of all frequency points meet the limit requirements of the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point, the electromagnetic compatibility conducted emission test of the device under test is judged to be qualified; otherwise, it is judged to be unqualified.

[0012] Furthermore, the judgment module is specifically used for: Based on the frequency, amplitude, and bandwidth of each frequency point, and the preset standard frequency, preset standard amplitude, and preset standard bandwidth of the corresponding frequency point, the frequency points that exceed the standard are screened out and the cases that exceed the preset standard are calculated. Calculations and EDA co-simulations are performed for frequencies exceeding preset standards. By utilizing an AI-based learning rule base to learn the underlying logic and parameter influence relationships of EDA collaborative simulation, the advantages and disadvantages of rectification results and improvement directions are analyzed to comprehensively optimize the EDA collaborative simulation process and ultimately generate rectification-driven signals.

[0013] Furthermore, the parameter adjustment module includes: A motor drive circuit, connected to the judgment module, is used to generate a corresponding motor drive signal based on the rectification drive signal; An electric motor, connected to the motor drive circuit, is used to rotate in the corresponding direction by a corresponding angle under the drive of the motor drive signal; A mechanical transmission component, connecting the motor and the band switch, is used to drive the contacts of the band switch to the corresponding gear under the rotation drive of the motor, thereby adjusting the capacitance, inductance and resistance values ​​of the passive filter network.

[0014] Furthermore, the parameter adjustment module also includes an independent power supply, which is connected to the motor and is used to supply power to the motor separately. The power supply stops supplying power to the motor each time the contacts of the band switch are switched to the corresponding position.

[0015] The beneficial effects of this invention are as follows: This invention provides a general-purpose automatic EMC diagnosis and rectification system. The system uses a signal acquisition module to perform EMI filtering on the interference signals generated by the adjustable passive filter module during electromagnetic compatibility conducted emission testing of the device under test. The system then performs spectrum analysis on the EMI filtered signal obtained from this EMI filtering. A judgment module then uses EDA co-simulation based on an AI-learning rule base to determine the rectification driving signal for the EMI filtering scheme. Finally, a parameter adjustment module generates mechanical driving force based on the rectification driving signal to control the open and short circuits of the band switches in the adjustable passive filter module, thereby adjusting the capacitance, inductance, and resistance values ​​of the passive filter network, and thus changing the filter's cutoff frequency, attenuation characteristics, insertion loss, etc. This invention can automatically realize EMC diagnosis and rectification, solving the problems of existing EMC rectification methods that rely on test sites, manual labor, low efficiency, and poor accuracy. Furthermore, this invention incorporates an AI-learning rule base, which continuously optimizes performance through deep learning from historical rectification cases, improving the overall effectiveness. Attached Figure Description

[0016] Figure 1 This is a structural block diagram of a universal EMC automatic diagnosis and rectification system according to the present invention; Figure 2 This is a block diagram of the adjustable passive filter module; Figure 3 This is a schematic diagram of a cascaded adjustable differential mode inductor filter unit; Figure 4 This is a schematic diagram of a cascaded adjustable common-mode inductor filter unit; Figure 5 This is a schematic diagram showing the connection between an adjustable differential-mode inductor filter unit and an adjustable common-mode inductor filter unit. Figure 6 This is a schematic diagram of a single-stage adjustable differential-mode capacitor filter unit. Figure 7 This is a schematic diagram of a single-stage adjustable common-mode capacitor filter unit. Figure 8 The structural block diagram of the parameter adjustment module. Detailed Implementation

[0017] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0018] like Figure 1 As shown, a general-purpose EMC automatic diagnosis and rectification system includes: An adjustable passive filter module includes a passive filter network composed of capacitors, inductors, and resistors, and a band switch connected to the passive filter network. The band switch is used to adjust the capacitance, inductance, and resistance values ​​of the passive filter network. The passive filter network is connected to the device under test (DUT) and is used to perform EMI filtering on the interference signals generated by the DUT during electromagnetic compatibility conducted emission testing to obtain an EMI filtered signal. The signal acquisition module is connected to the adjustable passive filter module and is used to perform spectrum analysis on the EMI filtered signal to obtain spectrum characteristic data. The judgment module is connected to the signal acquisition module and has a built-in AI learning rule base. It is used to compare the spectrum feature data with the preset standard spectrum feature data to determine whether the electromagnetic compatibility conducted emission test of the device under test is qualified. If the electromagnetic compatibility conducted emission test of the device under test is unqualified, it generates a rectification driving signal based on the AI ​​learning rule base and the spectrum feature data and EDA co-simulation. The parameter adjustment module, connected to the judgment module and the band switch, is used to generate a corresponding mechanical rotation direction and angle based on the rectification drive signal, and to control the contacts of the band switch to the corresponding gear through pure physical transmission, thereby adjusting the capacitance, inductance and resistance values ​​of the passive filter network.

[0019] This invention discloses a general-purpose automatic EMC diagnosis and rectification system. The system uses a signal acquisition module to perform EMI filtering on interference signals generated by an adjustable passive filter module during electromagnetic compatibility conducted emission testing of the device under test (DUT). The system then performs spectrum analysis on the EMI filtered signal obtained from this EMI filtering. A judgment module uses EDA co-simulation based on an AI-learning rule base to determine the rectification driving signal for the EMI filtering scheme. Finally, a parameter adjustment module generates mechanical driving force based on the rectification driving signal to control the open and short circuits of the band switches in the adjustable passive filter module, thereby adjusting the capacitance, inductance, and resistance values ​​of the passive filter network. This, in turn, changes the filter's cutoff frequency, attenuation characteristics, insertion loss, etc. This invention can automatically realize EMC diagnosis and rectification, solving the problems of existing EMC rectification methods that rely on test sites, manual labor, low efficiency, and poor accuracy. Furthermore, this invention incorporates an AI-learning rule base, using deep learning from historical rectification cases to continuously optimize performance and improve overall effectiveness.

[0020] In some embodiments, such as Figure 2As shown, the passive filter network includes multiple adjustable differential-mode inductors, multiple adjustable common-mode inductors, multiple differential-mode capacitor banks, and multiple common-mode capacitor banks; the band switch includes multiple first-band switches, multiple second-band switches, multiple third-band switches, and multiple fourth-band switches. In each stage of the circuit: the adjustable differential mode inductor is connected to the first band switch to form an adjustable differential mode inductor filter unit; the adjustable common mode inductor is connected to the second band switch to form an adjustable common mode inductor filter unit; the differential mode capacitor array is connected to the third band switch to form an adjustable differential mode capacitor filter unit; and the common mode capacitor array is connected to the fourth band switch to form an adjustable common mode capacitor filter unit. In each circuit: a multi-stage adjustable differential-mode inductor filter unit and a multi-stage adjustable common-mode inductor filter unit are connected in series; a multi-stage adjustable differential-mode capacitor filter unit is connected to each stage of the adjustable differential-mode inductor filter unit and each stage of the adjustable common-mode inductor filter unit; and a multi-stage adjustable common-mode capacitor filter unit is connected to each stage of the adjustable differential-mode inductor filter unit and each stage of the adjustable common-mode inductor filter unit.

[0021] In this embodiment, each stage of the adjustable differential-mode inductor, adjustable common-mode inductor, differential-mode capacitor bank, and common-mode capacitor bank is provided with four paths; that is... Figure 2 In this case, k=4.

[0022] Specifically, each stage of the adjustable differential-mode inductor, adjustable common-mode inductor, differential-mode capacitor array, and common-mode capacitor array is equipped with four channels, which can be used simultaneously for DC / single-phase AC and three-phase three-wire / four-wire AC. When connected to the device under test, the processor in the judgment module can select the circuit type. For DC / single-phase AC circuits, any two of the four channels can be used to form a path; for AC three-phase three-wire circuits, any three of the four channels can be used; and for AC three-phase four-wire circuits, all four channels are used.

[0023] Preferred: like Figure 3 As shown, in each path: the fixed terminal of the current stage adjustable differential mode inductor L1 is connected to the fixed terminal of the previous stage first band switch K1, the adjustable terminal of the current stage adjustable differential mode inductor L1 is connected to the adjustment terminal of the current stage first band switch K1, and the fixed terminal of the current stage first band switch K1 is connected to the fixed terminal of the next stage adjustable differential mode inductor L1.

[0024] like Figure 4 As shown, in each path: the fixed terminal of the current stage adjustable common mode inductor L2 is connected to the fixed terminal of the previous stage second band switch K2, the adjustable terminal of the current stage adjustable common mode inductor L2 is connected to the adjustment terminal of the current stage second band switch K2, and the fixed terminal of the current stage second band switch K2 is connected to the fixed terminal of the next stage adjustable common mode inductor L2.

[0025] like Figure 5As shown, in each path: the fixed terminal of the final stage first band switch K1 is connected to the fixed terminal of the first stage adjustable common mode inductor L2.

[0026] like Figure 6 As shown, in each stage: one end of the multi-channel differential mode capacitor array C1 is interconnected, and the other end of the multi-channel differential mode capacitor array C1 is connected to the adjustment terminal of the multi-channel third-band switch K3; in each stage: the differential mode capacitor array C1 is equipped with a resistor R, one end of the resistor R is connected to one end of the differential mode capacitor array C1, and the other end of the resistor R is connected to the fixed terminal of the third-band switch K3; in each stage: the fixed terminal of the multi-stage third-band switch K3 is respectively connected to the fixed terminal of the adjustable differential mode inductor of each stage, the fixed terminal of the first-band switch of each stage, the fixed terminal of the adjustable common mode inductor of each stage, and the fixed terminal of the second-band switch of each stage.

[0027] like Figure 7 As shown, in each stage: one end of the multi-channel common-mode capacitor bank C2 is grounded, and the other end of the multi-channel common-mode capacitor bank C2 is connected to the adjustment terminal of the multi-channel fourth-band switch K4; in each channel: the fixed terminal of the multi-stage fourth-band switch K4 is connected to the fixed terminal of the adjustable differential-mode inductor of each stage, the fixed terminal of the first-band switch of each stage, the fixed terminal of the adjustable common-mode inductor of each stage, and the fixed terminal of the second-band switch of each stage, respectively; Specifically, the adjustable passive filter module is placed between the device under test and the power supply network or signal port to suppress conducted emission interference (i.e., EMI filtering). Its core is a passive filter network with adjustable parameters, which allows for switching of the filter circuit structure, the number of filter stages, and the values ​​of inductance and capacitance. By adjusting the state of the band switch, the specific inductor, capacitor, and resistor values ​​and their combinations in the filter circuit are determined, thereby changing the filter's cutoff frequency, attenuation characteristics, insertion loss, etc.

[0028] In this embodiment, the capacitor bank is divided into a differential-mode capacitor bank and a common-mode capacitor bank. The differential-mode capacitor bank consists of five individual capacitors (two 1μF, one 2.2μF, one 4.7μF, and one 10μF). By adjusting the band switch, 24 different capacitance value combinations can be achieved, covering a value range of 0–17.9μF. The common-mode capacitor bank consists of five individual capacitors (one 2.2nF, one 4.7nF, one 10nF, one 47nF, and one 330nF). By adjusting the band switch, 24 different capacitance value combinations can be achieved, covering a value range of 0–383.9nF. The adjustable inductor is divided into a multi-tap adjustable common-mode inductor and a multi-tap adjustable differential-mode inductor. The inductance value is adjustable by a band switch. The resistor is a high-power 1MΩ resistor.

[0029] This invention allows for the control of the common-mode inductor, differential-mode inductor, and the number of common-mode and differential-mode capacitor banks connected to an adjustable passive filter module by adjusting the open and short-circuit states of the band switch, thereby enabling adjustable filtering stages in the passive filter module. For example, if only two stages of common-mode capacitor banks and one stage of common-mode inductor are needed based on calculations, the band switches for the spare stage capacitor banks, spare stage common-mode inductors, and spare stage differential-mode inductors can be set to open circuit, thus achieving the desired result. If the required differential-mode capacitance value exceeds 17.9μF, the adjustable inductor between the two stages of differential-mode capacitor banks can be short-circuited using the band switch, achieving the effect of parallel connection of the two stages of differential-mode capacitor banks. The same principle applies to common-mode capacitor banks.

[0030] In some embodiments, the signal acquisition module includes: A pre-filter, connected to the adjustable passive filter module, is used to filter the EMI filter signal for power grid-side conducted interference to obtain a pre-filter signal. A line impedance stabilization network, connected to the pre-filter, is used to provide stable high-frequency impedance; A spectrum analyzer, connected to the line impedance stabilization network, is used to perform spectrum analysis on the output signal of the line impedance stabilization network to obtain spectrum characteristic data. A preamplifier, connected to the spectrum analyzer and the judgment module, is used to amplify the spectrum feature data and transmit the amplified spectrum feature data to the judgment module.

[0031] Specifically, the signal acquisition module mainly includes a pre-filter, a line impedance stabilization network (LISN), a spectrum analyzer, and a low-noise preamplifier. The pre-filter prevents conducted interference from the power grid side from entering the test circuit; the LISN provides stable high-frequency impedance to the device under test; the spectrum analyzer converts the received interference signal into a spectrum diagram, extracts frequency, amplitude, and other spectral characteristics, and transmits them to the judgment module; the low-noise preamplifier is used to improve sensitivity.

[0032] In some embodiments, the spectral feature data includes the frequency, amplitude, and bandwidth of each frequency point; the preset standard spectral feature data includes the preset standard frequency, preset standard amplitude, and preset standard bandwidth of each frequency point; The judgment module is specifically used to: compare the frequency, amplitude and bandwidth of each frequency point with the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point. If the frequency, amplitude and bandwidth of all frequency points meet the limit requirements of the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point, the electromagnetic compatibility conducted emission test of the device under test is judged to be qualified; otherwise, it is judged to be unqualified.

[0033] In some embodiments, the determining module is specifically used for: Based on the frequency, amplitude, and bandwidth of each frequency point, and the preset standard frequency, preset standard amplitude, and preset standard bandwidth of the corresponding frequency point, the frequency points that exceed the standard are screened out and the cases that exceed the preset standard are calculated. Calculations and EDA co-simulations are performed for frequencies exceeding preset standards. By utilizing an AI-based learning rule base to learn the underlying logic and parameter influence relationships of EDA collaborative simulation, the advantages and disadvantages of rectification results and improvement directions are analyzed to comprehensively optimize the EDA collaborative simulation process and ultimately generate rectification-driven signals.

[0034] Specifically, the judgment module determines the pass / fail status of the EMC test results according to the requirements of the relevant standards. If all frequency points meet the limit requirements, the conducted emission is deemed qualified, the system outputs a "test passed" signal and rectification plan, and ends the current rectification process. If there are frequency points exceeding the standard, the AI ​​learning rule base combines the frequency, amplitude, bandwidth, and shape (single point, wideband) characteristics of the frequency points exceeding the standard to perform calculations and EDA co-simulation, generating specific rectification driving signals. This signal clearly indicates to the parameter adjustment module which target position the band switch needs to be adjusted to in order to access a specific combination of filter element parameters.

[0035] The AI-based learning rule base performs calculations and EDA co-simulation based on experimental data exceeding standard values ​​to ultimately determine the EMI filter solution. The AI-based learning rule base learns the underlying logic and parameter relationships of EDA simulation, analyzes the advantages and disadvantages of rectification results and improvement directions, and ultimately achieves comprehensive optimization of the EDA simulation process.

[0036] The AI-learning rule base automatically records and stores "rectification case" data in each rectification cycle, including: (1) Original spectrum characteristics before rectification (exceeding standard frequency points, amplitude, etc.).

[0037] (2) The AI ​​learning rule base generates driving signals (i.e., suggested parameters / combinations) through calculation and EDA simulation.

[0038] (3) Specific operations performed by the parameter adjustment module (actual parameters / combinations adjusted).

[0039] (4) The new spectral characteristics and final qualified status obtained after retesting after adjustment.

[0040] (5) The number of cycles required to achieve the qualification.

[0041] The entire rectification process data is entered into an AI learning rule base, allowing it to deeply learn the workflow logic of the entire EDA simulation, the correlation of key parameters, and the data patterns of the rectification results after simulation. Ultimately, through AI's data analysis and model optimization capabilities, the original simulation scheme and rectification strategy are iteratively upgraded, improving the overall effectiveness. As the types of equipment processed by the system increase and rectification cases accumulate, the AI ​​learning rule base continues to evolve, significantly improving the system's diagnostic accuracy, rectification efficiency, and versatility (the ability to cope with different equipment and different interference modes).

[0042] In some embodiments, such as Figure 8 As shown, the parameter adjustment module includes: A motor drive circuit, connected to the judgment module, is used to generate a corresponding motor drive signal based on the rectification drive signal; An electric motor, connected to the motor drive circuit, is used to rotate in the corresponding direction by a corresponding angle under the drive of the motor drive signal; A mechanical transmission component, connecting the motor and the band switch, is used to drive the contacts of the band switch to the corresponding gear under the rotation drive of the motor, thereby adjusting the capacitance, inductance and resistance values ​​of the passive filter network.

[0043] Specifically, the parameter adjustment module includes a high-precision stepper motor, a motor drive circuit, and mechanical transmission components (couplings, gear sets, etc.). The parameter adjustment module receives adjustment drive signals from the judgment module. The motor drive circuit precisely controls the rotation angle and direction of the stepper motor according to the instructions, and drives the contacts of the band switch to the specified range through the mechanical transmission components, thereby accurately and quickly changing the circuit parameters (number of stages, inductance value, capacitance value, resistance value, and their combinations) of the adjustable passive filter module.

[0044] In some embodiments, the parameter adjustment module further includes an independent power supply connected to the motor for supplying power to the motor separately, and stops supplying power to the motor each time the contacts of the band switch are switched to the corresponding gear.

[0045] Specifically, the motor is powered separately and the motor is powered off after each parameter adjustment, which can eliminate the additional interference caused by the electronic switch.

[0046] In summary, this invention provides a universal EMC automatic diagnosis and rectification system that achieves highly automated, intelligent, and self-learning EMC conducted emission interference rectification and diagnosis, applicable to single-phase DC / AC and three-phase three-wire / four-wire circuits. Through real-time signal acquisition, intelligent analysis and diagnosis, closed-loop parameter adjustment, and continuous learning and optimization based on historical data, this invention significantly improves rectification efficiency and effectiveness, reducing reliance on the experience of professional engineers and specialized facilities.

[0047] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A general EMC automatic diagnosis and rectification system, characterized in that, The application relates to a device for testing electromagnetic compatibility of a measured device. The device comprises a tunable passive filter module, a signal acquisition module, a judgment module and a parameter adjustment module. The tunable passive filter module comprises a passive filter network composed of a capacitor, an inductor and a resistor, and a waveband switch connected with the passive filter network. The waveband switch is used for adjusting the capacitance value, the inductance value and the resistance value of the passive filter network. The passive filter network is connected with the measured device and is used for performing EMI filtering on interference signals generated by the measured device in electromagnetic compatibility conducted emission testing to obtain EMI filtered signals.

2. The universal EMC automatic diagnosis rectification system according to claim 1, characterized in that, The signal acquisition module is connected with the tunable passive filter module and is used for performing frequency spectrum analysis on the EMI filtered signals to obtain frequency spectrum characteristic data. The judgment module is connected with the signal acquisition module and is internally provided with an AI learning type rule library. The judgment module is used for comparing the frequency spectrum characteristic data with preset standard frequency spectrum characteristic data to judge whether the electromagnetic compatibility conducted emission testing of the measured device is qualified.

3. The universal EMC automatic diagnosis rectification system according to claim 2, characterized in that, In the case that the electromagnetic compatibility conducted emission testing of the measured device is not qualified, the judgment module is used for performing calculation and EDA collaborative simulation based on the AI learning type rule library and in combination with the frequency spectrum characteristic data to generate a rectification driving signal. The parameter adjustment module is connected with the judgment module and the waveband switch. The parameter adjustment module is used for generating corresponding mechanical rotation directions and angles according to the rectification driving signal to control the contact switching of the waveband switch to corresponding gears by pure physical transmission, and then adjust the capacitance value, the inductance value and the resistance value of the passive filter network. The passive filter network comprises multiple paths of multiple levels of tunable differential mode inductors, multiple paths of multiple levels of tunable common mode inductors, multiple paths of multiple levels of differential mode capacitor banks and multiple paths of multiple levels of common mode capacitor banks. The waveband switch comprises multiple paths of multiple levels of first waveband switches, multiple paths of multiple levels of second waveband switches, multiple paths of multiple levels of third waveband switches and multiple paths of multiple levels of fourth waveband switches. In each path and each level: the tunable differential mode inductor is connected with the first waveband switch to form a tunable differential mode inductor filter unit, the tunable common mode inductor is connected with the second waveband switch to form a tunable common mode inductor filter unit, the differential mode capacitor bank is connected with the third waveband switch to form a tunable differential mode capacitor filter unit, and the common mode capacitor bank is connected with the fourth waveband switch to form a tunable common mode capacitor filter unit. In each path: the multiple levels of tunable differential mode inductor filter units and the multiple levels of tunable common mode inductor filter units are connected in series, the multiple levels of tunable differential mode capacitor filter units are connected with the multiple levels of tunable differential mode inductor filter units and the multiple levels of tunable common mode inductor filter units respectively, and the multiple levels of tunable common mode capacitor filter units are connected with the multiple levels of tunable differential mode inductor filter units and the multiple levels of tunable common mode inductor filter units respectively. In each path: The fixed end of the current level tunable differential mode inductor is connected with the fixed end of the previous level first waveband switch, the adjustable end of the current level tunable differential mode inductor is connected with the adjustment end of the current level first waveband switch, and the fixed end of the current level first waveband switch is connected with the fixed end of the next level tunable differential mode inductor; The fixed end of the current level tunable common mode inductor is connected with the fixed end of the previous level second waveband switch, the adjustable end of the current level tunable common mode inductor is connected with the adjustment end of the current level second waveband switch, and the fixed end of the current level second waveband switch is connected with the fixed end of the next level tunable common mode inductor; The fixed end of the last level first waveband switch is connected with the fixed end of the first level tunable common mode inductor.

4. The universal EMC automatic diagnosis rectification system according to claim 2, characterized in that, In each stage: one end of the multi-path differential mode capacitor row is interconnected, and the other end of the multi-path differential mode capacitor row is correspondingly connected to the adjusting end of the multi-path third wave band switch; one end of the multi-path common mode capacitor row is grounded, and the other end of the multi-path common mode capacitor row is correspondingly connected to the adjusting end of the multi-path fourth wave band switch; In each path: the fixed end of the multi-stage third wave band switch is respectively connected to the fixed end of each stage of the adjustable differential mode inductor, the fixed end of each stage of the first wave band switch, the fixed end of each stage of the adjustable common mode inductor, and the fixed end of each stage of the second wave band switch; the fixed end of the multi-stage fourth wave band switch is respectively connected to the fixed end of each stage of the adjustable differential mode inductor, the fixed end of each stage of the first wave band switch, the fixed end of each stage of the adjustable common mode inductor, and the fixed end of each stage of the second wave band switch; In each path and each stage: the differential mode capacitor row is provided with a resistor, one end of the resistor is connected to one end of the differential mode capacitor row, and the other end of the resistor is connected to the fixed end of the third wave band switch.

5. The universal EMC automatic diagnosis and rectification system according to any one of claims 2 to 4, characterized in that, The multi-path is specifically four paths.

6. The universal EMC automatic diagnosis rectification system according to claim 1, wherein, The signal acquisition module comprises: The pre-filter is connected to the adjustable passive filter module and is used to filter the EMI filtered signal on the power grid side to obtain a pre-filtered signal; The line impedance stabilization network is connected to the pre-filter and is used to provide stable high-frequency impedance; The spectrum analyzer is connected to the line impedance stabilization network and is used to perform spectrum analysis on the output signal of the line impedance stabilization network to obtain spectrum feature data; The pre-amplifier is connected to the spectrum analyzer and the judgment module and is used to amplify the spectrum feature data and transmit the amplified spectrum feature data to the judgment module.

7. The universal EMC automatic diagnosis rectification system according to claim 1, wherein, The spectrum feature data includes the frequency, amplitude and bandwidth of each frequency point; and the preset standard spectrum feature data includes the preset standard frequency, preset standard amplitude and preset standard bandwidth of each frequency point. The judgment module is specifically configured to: compare the frequency, amplitude and bandwidth of each frequency point with the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point; if the frequency, amplitude and bandwidth of all frequency points meet the limit requirements of the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point, it is determined that the electromagnetic compatibility conducted emission test of the device under test is qualified, otherwise it is determined to be unqualified.

8. The universal EMC automatic diagnosis rectification system according to claim 7, characterized in that, The judgment module is specifically configured to: According to the frequency, amplitude and bandwidth of each frequency point and the preset standard frequency, preset standard amplitude and preset standard bandwidth of the corresponding frequency point, filter out the over-standard frequency points and calculate the situation of exceeding the preset standard; The situation of exceeding the preset standard of the over-standard frequency points is calculated and EDA co-simulation is performed; The AI learning type rule base is used to learn the bottom logic and parameter influence relationship of the EDA co-simulation, analyze the advantages and disadvantages of the improvement results and the improvement direction, comprehensively optimize the EDA co-simulation process, and finally generate an improvement driving signal.

9. The universal EMC automatic diagnosis rectification system according to claim 1, wherein, The parameter adjustment module comprises: The motor driving circuit is connected to the judgment module and is used to generate a corresponding motor driving signal according to the improvement driving signal; The motor is connected to the motor driving circuit and is used to rotate in a corresponding direction by a corresponding angle under the driving of the motor driving signal. A mechanical transmission assembly is connected to the motor and the wave band switch, and is used to drive the wave band switch to switch the contact to the corresponding gear under the rotation of the motor, so as to adjust the capacitance, inductance and resistance of the passive filter network.

10. The universal EMC automatic diagnosis rectification system according to claim 9, characterized in that, The parameter adjustment module further comprises an independent power supply connected to the motor, which is used to supply power to the motor independently, and stop supplying power to the motor after the contact of the wave band switch switches to the corresponding gear each time.

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