An electromagnetic interference analysis system, method and electronic device

Abstract

The application discloses an electromagnetic interference analysis system and method and an electronic device, and relates to the technical field of electronic product testing. Since the gain module is used for selecting a target gain channel suitable for a to-be-analyzed electromagnetic interference signal according to the signal characteristics of the to-be-analyzed electromagnetic interference signal, the situation that weak signals are submerged by noise and strong signals are easily saturated and distorted is avoided. Furthermore, the sampling module further differentially samples the target electromagnetic interference signal according to the frequency characteristics of the target electromagnetic interference signal, so that the coverage of the sampling data is further ensured, and the accuracy of the electromagnetic interference analysis result is improved.

Description

Technical Field

[0001] This application relates to the field of electronic product testing technology, and in particular to an electromagnetic interference analysis system, method and electronic device. Background Technology

[0002] As the electromagnetic environment of electronic products such as servers becomes increasingly complex, electromagnetic interference has become one of the core causes of server system downtime, data transmission errors, and decreased operational stability. In related technologies, fixed-gain amplifier circuits are typically used to condition the interference signal. However, weak signals are easily overwhelmed by noise, and strong signals are prone to saturation and distortion, leading to insufficient accuracy in subsequent analysis and reducing the accuracy of electromagnetic interference analysis results. Summary of the Invention

[0003] This application provides an electromagnetic interference analysis system, method, and electronic device to at least solve the problems in related technologies where weak signals are easily submerged by noise and strong signals are easily saturated and distorted, resulting in insufficient accuracy of subsequent analysis and reduced accuracy of electromagnetic interference analysis results.

[0004] This application provides an electromagnetic interference analysis system, including: a gain module, a sampling module, and an analysis module; The gain module is used to acquire the electromagnetic interference signal to be analyzed, determine the gain decision value based on the signal characteristics of the electromagnetic interference signal to be analyzed, and determine the target gain channel corresponding to the electromagnetic interference signal to be analyzed based on the gain decision value. The signal gain is then processed based on the target gain channel to obtain the target electromagnetic interference signal, and the target electromagnetic interference signal is transmitted to the sampling module. The sampling module is used to perform differential sampling on the target electromagnetic interference signal according to the frequency characteristics of the target electromagnetic interference signal, obtain the target sampling data, and transmit the target sampling data to the analysis module; The analysis module is used to analyze the target sampling data to obtain the corresponding electromagnetic interference analysis results.

[0005] This application also provides an electromagnetic interference analysis method, which is applied to any of the above-mentioned electromagnetic interference analysis systems, and the method includes: The gain module acquires the electromagnetic interference signal to be analyzed. Based on the signal characteristics of the electromagnetic interference signal to be analyzed, the gain decision value is determined. Based on the gain decision value, the target gain channel corresponding to the electromagnetic interference signal to be analyzed is determined. The signal gain processing of the electromagnetic interference signal to be analyzed is performed based on the target gain channel to obtain the target electromagnetic interference signal. The target electromagnetic interference signal is then transmitted to the sampling module. Based on the frequency characteristics of the target electromagnetic interference signal, the sampling module performs differential sampling on the target electromagnetic interference signal to obtain target sampling data, and transmits the target sampling data to the analysis module. The analysis module analyzes the target sampling data to obtain the corresponding electromagnetic interference analysis results.

[0006] This application also provides an electronic device, including: a memory for storing a computer program; and a processor for executing the computer program to implement the steps of any of the above-described electromagnetic interference analysis methods.

[0007] This application also provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of any of the above-described electromagnetic interference analysis methods.

[0008] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of any of the above-described electromagnetic interference analysis methods.

[0009] Through this application, the gain module selects a suitable target gain channel for the electromagnetic interference signal to be analyzed based on the signal characteristics of the electromagnetic interference signal to be analyzed, so as to avoid the situation where weak signals are overwhelmed by noise and strong signals are prone to saturation and distortion. Furthermore, the sampling module performs differential sampling on the target electromagnetic interference signal based on the frequency characteristics of the target electromagnetic interference signal, which further ensures the coverage of the sampling data and improves the accuracy of the electromagnetic interference analysis results. Attached Figure Description

[0010] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the interactive process of the electromagnetic interference analysis system provided in the embodiments of this application; Figure 2 This is a schematic diagram of the electromagnetic interference analysis system provided in an embodiment of this application; Figure 3 This is a schematic diagram of the business process of the preprocessing unit provided in the embodiments of this application; Figure 4 This is a schematic diagram of the service process of the gain adaptive unit provided in the embodiments of this application; Figure 5 This is a schematic diagram of the sampling module provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of the downconversion unit provided in an embodiment of this application; Figure 7This is a schematic diagram of the collaborative process of the dual analog-to-digital converter in the multi-channel synchronous acquisition unit provided in the embodiments of this application; Figure 8 This is a schematic diagram of the business process of the calibration unit provided in the embodiments of this application; Figure 9 This is a schematic diagram of the business process of the algorithm detection unit provided in the embodiments of this application; Figure 10 A flowchart illustrating the electromagnetic interference analysis method provided in this application embodiment; Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.

[0013] It should be noted that, in the description of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. The terms "first," "second," etc., in this application are used to distinguish similar objects and are not used to describe a specific order or sequence.

[0014] With the rapid development of data center servers towards higher frequencies and speeds, and the widespread adoption of PCIe 5.0 / 6.0, DDR5, and 100G / 400G high-speed ports, the electromagnetic environment of server products is becoming increasingly complex. Electromagnetic interference (EMI) has become one of the core causes of server system downtime, data transmission errors, decreased operational stability, and failure to pass global EMC compliance certifications. Currently, electromagnetic interference analysis is a crucial step in ensuring the reliable operation and successful market launch of server products. However, traditional analysis methods are ill-suited to the complex operating scenarios of servers with high loads, wide frequency bands, and weak signals at the microvolt level. There is an urgent need for breakthroughs in more accurate and efficient dedicated electromagnetic interference analysis technologies. Related technologies have the following shortcomings: Microvolt-level (1uV~10mV) interference sources have large measurement errors. Because the gain of the amplification module is fixed, weak signals are easily drowned out by noise, and strong signals are easily saturated and distorted, resulting in insufficient accuracy of subsequent analysis. The analysis system's sampling module has limited frequency band coverage and cannot take into account interference signals across the entire 150kHz~25GHz frequency band. The high-frequency signal acquisition accuracy is low and transient interference is easy to escape. The lack of a dynamic calibration mechanism means that the instrument's accuracy is greatly affected by ambient temperature, and the accumulation of measurement deviations after long-term operation affects the reliability of the analysis.

[0015] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] This application provides an electromagnetic interference analysis system for analyzing electromagnetic interference in electronic products such as servers.

[0017] like Figure 1 The diagram shown is an interactive flowchart of an electromagnetic interference analysis system provided in an embodiment of this application. The system includes a gain module, a sampling module, and an analysis module.

[0018] The gain module is used to acquire the electromagnetic interference signal to be analyzed, determine the gain decision value based on the signal characteristics of the electromagnetic interference signal, and determine the target gain channel corresponding to the electromagnetic interference signal based on the gain decision value. The target gain channel is then used to perform signal gain processing on the electromagnetic interference signal to obtain the target electromagnetic interference signal, which is then transmitted to the sampling module. The sampling module is used to perform differential sampling on the target electromagnetic interference signal based on its frequency characteristics to obtain target sampling data, which is then transmitted to the analysis module. The analysis module is used to analyze the target sampling data to obtain the corresponding electromagnetic interference analysis results.

[0019] It should be noted that the electromagnetic interference signals to be analyzed include those from core components such as server power modules, PCIE 5.0 / 6.0 high-speed interfaces, DDR5 memory slots, and 100G / 400G Ethernet ports, which have undergone a series of preprocessing operations.

[0020] Specifically, the gain module calculates the corresponding gain decision value based on the signal characteristics of the electromagnetic interference signal to be analyzed. This gain decision value quantifies signal strength and quality, reflecting the amplification factor or attenuation degree required for the signal. Furthermore, based on the gain decision value, a corresponding target gain channel is matched to achieve differentiated gain for electromagnetic interference signals with different signal characteristics. This avoids the problem of weak signals being overwhelmed by noise and strong signals being saturated and distorted, laying the foundation for the accuracy of subsequent analysis.

[0021] Specifically, the sampling module can distinguish whether the target electromagnetic interference signal is a high-frequency signal (e.g., 500MHz~25GHz) or a medium-frequency signal (e.g., 150kHz~500MHz) based on the frequency characteristics of the target electromagnetic interference signal. Then, based on the distinction result, differential sampling is performed on the target electromagnetic interference signal to ensure the coverage of the sampling data.

[0022] Specifically, the analysis module can analyze the target sampling data provided by the sampling module to determine the electromagnetic interference analysis result corresponding to the electromagnetic interference signal to be analyzed, according to a preset electromagnetic interference discrimination standard. The electromagnetic interference analysis result can be a frequency band distribution map of the interference source, an amplitude variation trend of a specific interference, or a judgment on whether EMC testing is qualified. This result can guide relevant personnel to quickly locate electromagnetic compatibility issues in the design of electronic products such as servers, thereby significantly shortening the product development and rectification cycle. The specific analysis process of the analysis module can refer to relevant technologies, and this application embodiment does not limit it.

[0023] Specifically, in one embodiment, the gain channels are at least divided into four types: low-noise high-gain channels, adaptive gain channels, unity-gain channels, and intelligent attenuation channels. The low-noise high-gain channels amplify the electromagnetic interference signal to be analyzed through a multi-stage amplification chain. The adaptive gain channels amplify the electromagnetic interference signal to be analyzed by dynamically adjusting the amplification factor through a programmable gain amplifier. The unity-gain channels transmit at unity gain, preserving the original amplitude characteristics of the electromagnetic interference signal to be analyzed. The intelligent attenuation channels attenuate the electromagnetic interference signal to be analyzed through a step attenuator.

[0024] Specifically, when the gain decision value indicates that the signal is weak (such as microvolt-level interference), a low-noise, high-gain path is selected as the target gain path. The signal is amplified at a high rate through a multi-stage amplification chain (each stage gain is adjustable by 10 to 100 times) to amplify it to 1V to 8V, maximizing the signal-to-noise ratio (output signal-to-noise ratio ≥ 25dB) to overcome the influence of inherent circuit noise.

[0025] Specifically, when the signal strength is moderate (intermediate interference type), the adaptive gain path is selected as the target gain path (gain range 10~100 times), and the amplification factor is dynamically adjusted using a programmable gain amplifier to balance signal fidelity and amplification efficiency (nonlinear distortion ≤0.1%).

[0026] Specifically, when the signal amplitude itself is already within the ideal range (signal amplitude 1V~8V), the unity gain channel is selected for direct transmission to preserve the original amplitude characteristics.

[0027] Specifically, when the signal is too strong (signal amplitude 7~9V), the intelligent attenuation channel is selected for voltage reduction processing, so as to finely adjust it to 1V~8V through the 0~10dB step attenuator to ensure that the signal waveform is not distorted.

[0028] Based on the above embodiments, such as Figure 2 This is a schematic diagram of the electromagnetic interference analysis system provided in an embodiment of this application. As one possible implementation, in one embodiment, the gain module includes: The preprocessing unit is used to acquire the original electromagnetic interference signal, perform signal preprocessing on the original electromagnetic interference signal, and obtain the electromagnetic interference signal to be analyzed. The gain adaptive unit is used to determine the gain decision value based on the signal characteristics of the electromagnetic interference signal to be analyzed, and to determine the target gain channel corresponding to the electromagnetic interference signal to be analyzed based on the gain decision value. The target gain channel is then used to perform signal gain processing on the electromagnetic interference signal to be analyzed, thereby obtaining the target electromagnetic interference signal, and the target electromagnetic interference signal is then transmitted to the sampling module.

[0029] Among them, signal characteristics include at least amplitude characteristics, signal-to-noise ratio characteristics, and bandwidth characteristics.

[0030] Specifically, the electromagnetic interference signal to be analyzed obtained through signal preprocessing has the characteristics of low noise interference, safe amplitude, and good impedance matching, making it suitable for further processing by the subsequent gain adaptive unit.

[0031] Specifically, in one embodiment, the preprocessing unit includes: The first filter is used to filter out the common-mode noise of spatial coupling in the original electromagnetic interference signal, so as to obtain the electromagnetic interference signal after the first filter. The second filter is used to filter out high-frequency spurious interference in different frequency bands in the electromagnetic interference signal after the first filter, so as to obtain the electromagnetic interference signal after the second filter. A noise differential amplifier is used to perform impedance matching on the electromagnetic interference signal after the second filter and output the target electromagnetic interference signal.

[0032] The preprocessing unit may further include a limiting attenuator, used to determine whether the current amplitude of the original electromagnetic interference signal exceeds a preset amplitude upper limit before the original electromagnetic interference signal is input to the first filter. If the current amplitude of the original electromagnetic interference signal exceeds the preset amplitude upper limit, the original electromagnetic interference signal is forcibly attenuated to clamp it below the preset amplitude upper limit. If the current amplitude of the original electromagnetic interference signal does not exceed the preset amplitude upper limit, the original electromagnetic interference signal is input to the first filter. Alternatively, after the noise differential amplifier outputs the target electromagnetic interference signal, the limiting attenuator determines whether the current amplitude of the target electromagnetic interference signal exceeds the preset amplitude upper limit. If so, the target electromagnetic interference signal is clamped below the preset amplitude upper limit.

[0033] The preset upper limit of amplitude can be matched with the full scale of the sampling module ADC (analog-to-digital converter), covering the wide dynamic range interference testing requirements of server power modules and load change scenarios.

[0034] Specifically, such as Figure 3 The diagram shows the workflow of the preprocessing unit provided in this application embodiment. First, it determines whether the original electromagnetic interference signal exceeds the preset amplitude upper limit (8V). If it does, forced attenuation (0~30dB programmable attenuator) is immediately triggered and clamped to ≤8V. Considering that the server's high-frequency signal is mainly common-mode interference, a first filter composed of a common-mode inductor and a π-type LC filter network can filter out spatially coupled common-mode noise. Then, an active low-pass filter with an adjustable cutoff frequency (second filter, 100kHz for narrowband scenarios, 500kHz for broadband scenarios, and 15MHz for intermediate frequency scenarios) is used to specifically suppress high-frequency spurious interference in different frequency bands. Finally, impedance matching is achieved through a low-noise differential amplifier (noise differential amplifier) ​​to ensure that weak signals are not overwhelmed by noise, thus obtaining a high-quality target electromagnetic interference signal.

[0035] Specifically, in one embodiment, the gain adaptive unit is specifically used for: The gain decision value is determined based on the following formula:

[0036] in, Indicates the gain decision value. Indicates the preset target amplitude. This indicates the amplitude characteristics of the electromagnetic interference signal to be analyzed. This indicates the signal-to-noise ratio characteristics of the electromagnetic interference signal to be analyzed. This indicates the bandwidth characteristics of the electromagnetic interference signal to be analyzed.

[0037] It should be noted that the default value of the preset target amplitude can be 5V, the actual signal-to-noise ratio (SNR) characteristic can be the SNR compensation coefficient (1.2 when SNR≥30dB, 1.0 when SNR~30dB, and 0.8 when SNR<20dB), and the actual bandwidth characteristic can be the bandwidth factor (1.5 for narrowband signals, 1.0 for wideband signals, and 1.2 for intermediate frequency signals).

[0038] Specifically, such as Figure 4 The diagram shown illustrates the workflow of the gain adaptive unit provided in this embodiment. First, the signal characteristics of the electromagnetic interference signal to be analyzed are obtained, and then the gain decision value is calculated as described above. Specifically, when the gain adaptive unit calculates... When the electromagnetic interference signal to be analyzed is determined to be ≤10mV and has high signal-to-noise ratio potential, belonging to the microvolt-level interference type such as server high-speed PCIe interface and DDR5 memory, a low-noise high-gain path (Class A channel) is selected as the target gain path; when When the electromagnetic interference signal to be analyzed is determined to be 10mV~1V, belonging to the intermediate interference type of server board chips and data signals, an adaptive gain path (Class B channel) is selected as the target gain channel; when When the electromagnetic interference signal to be analyzed is determined to be 1V~8V, which belongs to the type of interference with large fluctuations such as server power signals, a unity gain channel or a smart attenuation channel is selected as the target gain channel. Class C channels include unity gain channels and smart attenuation channels.

[0039] Based on the above embodiments, such as Figure 5 This is a schematic diagram of the sampling module provided in an embodiment of the present application. As one possible implementation, in one embodiment, the sampling module includes a hardware detection layer and an algorithm detection layer, wherein the hardware detection layer includes: The frequency band identification unit is used to characterize the target channel of the target electromagnetic interference signal based on the frequency characteristics of the target electromagnetic interference signal. When the target channel is a preset high frequency band, it generates a high frequency trigger signal to activate the downconversion unit. When the target channel is a preset intermediate frequency band, it generates an intermediate frequency trigger signal to directly transmit the target electromagnetic interference signal to the multi-channel synchronous sampling unit. The downconversion unit is used to respond to high-frequency trigger signals to convert the target electromagnetic interference signal to a preset intermediate frequency band and then transmit it to the multi-channel synchronous sampling unit. The multi-channel synchronous sampling unit is used to perform differential sampling on the obtained target electromagnetic interference signal to obtain target sampling data.

[0040] Specifically, the frequency band identification unit utilizes the hardware acceleration function of the server's smart network card or the FPGA of the AI ​​acceleration card to detect the frequency characteristics of the input signal in real time: when the detected signal frequency is in the range of 500M~25G (preset high frequency band), a high frequency trigger signal is generated to activate the corresponding sub-band of the downconverter unit to convert the target electromagnetic interference signal to the preset intermediate frequency band and then transmit it to the multi-channel synchronous sampling unit; when the detected signal frequency is in the range of 150K~500M (preset intermediate frequency band), an intermediate frequency trigger signal is generated to directly import the signal into the multi-channel synchronous acquisition unit.

[0041] Specifically, in one embodiment, the downconversion unit can divide a preset high-frequency band into multiple independent sub-bands; for each independent sub-band, the corresponding target electromagnetic interference signal is downconverted by a mixer and an adjustable local oscillator; and the target electromagnetic interference signal after downconversion is filtered by a bandpass filter to convert the target electromagnetic interference signal of each independent sub-band into an intermediate frequency signal so that the converted target electromagnetic interference signal is in the preset intermediate frequency band.

[0042] Specifically, such as Figure 6 The diagram shows the structure of the downconversion unit provided in this embodiment. The downconversion unit consists of a mixer, an adjustable local oscillator, and a bandpass filter, and is designed specifically for the main ADC channel (main analog-to-digital converter) to process 500MHz~25GHz high-frequency signals. The 500MHz~25GHz high-frequency band is divided into 10 independent sub-bands. Through the mixer and the adjustable local oscillator, the high-frequency signals of each sub-band are uniformly down-converted to a 100MHz intermediate frequency. When the 10 sub-bands are processed in parallel, the total equivalent sampling rate reaches 2GS / s (200MS / s×10), achieving full 25GHz frequency band coverage while controlling hardware costs.

[0043] Specifically, in one embodiment, the multi-channel synchronous sampling unit can perform pre-sampling processing on the target electromagnetic interference signal output by the down-conversion unit and the target electromagnetic interference signal directly transmitted by the frequency band identification unit through a differential input circuit, an anti-aliasing filter, and a buffer; the main analog-to-digital converter samples the target electromagnetic interference signal converted by the down-conversion unit, and the auxiliary analog-to-digital converter samples the target electromagnetic interference signal directly transmitted by the frequency band identification unit to obtain target sampling data.

[0044] The sampling frequency of the main analog-to-digital converter is greater than that of the auxiliary analog-to-digital converter.

[0045] Specifically, such as Figure 7The diagram shown illustrates the collaborative process of the dual analog-to-digital converters (ADCs) in the multi-channel synchronous acquisition unit provided in this embodiment. The multi-channel synchronous acquisition unit consists of a differential input circuit, an anti-aliasing filter, a buffer, and dual ADCs (a main ADC and an auxiliary ADC). The differential input circuit converts single-ended analog signals into differential signals, suppresses common-mode noise, and achieves impedance matching. The anti-aliasing filter filters out high-frequency components above the Nyquist frequency to avoid sampling aliasing. The buffer improves signal driving capability and stabilizes signal amplitude to achieve pre-processing of the target electromagnetic interference signal before sampling. The dual ADCs include a main ADC and an auxiliary ADC, corresponding to high-frequency and intermediate-frequency signal acquisition, respectively. The core function of the multi-channel synchronous acquisition unit is to achieve frequency-band dynamic acquisition based on instructions from the frequency band identification unit.

[0046] Main Analog-to-Digital Converter (ADC) Acquisition Channel: The main ADC can acquire data using the high-speed ADC of the server's smart network card. It receives the 100MHz intermediate frequency (IF) signal output from the downconverter unit, processes it through a differential input circuit, a 150MHz low-pass anti-aliasing filter, and a buffer, and then acquires the 100MHz IF signal at a sampling rate of 200MS / s (meeting the Nyquist requirement: 200MS / s ≥ 2 × 100MHz). It also uses a 150MHz low-pass filter to prevent aliasing and performs routine monitoring of the core frequency band. Auxiliary Analog-to-Digital Converter Acquisition Channel: The auxiliary analog-to-digital converter can acquire data using the server's BMC management chip. It directly receives the 150K~500M native intermediate frequency signal imported by the frequency band identification unit. After processing by differential input circuit, anti-aliasing filter for the appropriate frequency band, and buffer, it is directly acquired at a high sampling rate of 1GS / s (no down-conversion required, meeting 1GS / s≥2×500M). 200,000 data points (1GS / s×200ms) can be acquired within 200ms. Combined with trigger-type pre-stored buffer (started 50ms in advance), it ensures the integrity of transient waveform details when the server port is powered on and when services are switched.

[0047] Specifically, in one embodiment, the multi-channel synchronous sampling unit further includes: Synchronous clock circuit is used to provide synchronous clock signals to the main analog-to-digital converter and the auxiliary analog-to-digital converter so that the main analog-to-digital converter and the auxiliary analog-to-digital converter can perform synchronous sampling based on the same timing reference; The target logic device (FPGA integrated circuit) is used to acquire the sampled data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter, and to concatenate and integrate the sampled data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter to obtain the target sampled data.

[0048] Dual analog-to-digital converter collaborative acquisition: When high-frequency and intermediate-frequency interference occur simultaneously, the synchronous clock circuit provides synchronous clock signals to the main analog-to-digital converter and the auxiliary analog-to-digital converter. The dual analog-to-digital converters achieve time alignment and independent acquisition based on the 1ns synchronous clock (the same timing reference). The acquired data is spliced ​​and integrated through FPGA (target logic device) to avoid inter-band interference in order to obtain the target sampling data.

[0049] Specifically, in one embodiment, the sampling module further includes: The calibration unit is used to acquire the sampling status information of the multi-channel synchronous sampling unit and determine the corresponding calibration trigger conditions based on the sampling status information. When the calibration trigger conditions are met, the main analog-to-digital converter and the auxiliary analog-to-digital converter are dynamically calibrated in frequency bands to obtain the corresponding calibration results. The sampling parameters of the multi-channel synchronous sampling unit are then corrected based on the calibration results.

[0050] The sampling status information includes at least the system's continuous running time, ambient temperature data, and acquisition accuracy error.

[0051] Specifically, such as Figure 8 The diagram shown illustrates the workflow of the calibration unit provided in this embodiment. The calibration unit uses the I2C bus as the core calibration path to perform frequency-band differentiated calibration processes on the main and auxiliary analog-to-digital converters. When the system is in normal acquisition mode, the main analog-to-digital converter calibration branch and the auxiliary analog-to-digital converter calibration branch are simultaneously activated, with the I2C bus uniformly carrying calibration commands and data transmission.

[0052] Main analog-to-digital converter calibration branch: Based on 100MHz standard intermediate frequency, monitor temperature change ≥2℃ every 2 hours (when the system runs continuously for 2 hours) or ambient temperature data to characterize dual trigger conditions. When either condition is met, it is determined that the calibration trigger condition is met, and downconversion phase offset compensation is performed through I2C bus. Auxiliary analog-to-digital converter calibration branch: Based on 1mV DC, it monitors temperature change ≥5℃ every 8 hours (when the system runs continuously for 8 hours) or ambient temperature data to form a dual trigger condition. When either condition is met, it is determined that the calibration trigger condition is met, and the acquisition amplitude deviation compensation is performed through the I2C bus.

[0053] After the two compensations are completed, they enter the accuracy verification circuit to detect the acquisition accuracy error within 24 hours: if the error is ≤0.1%, the system returns to normal acquisition state; if the error exceeds the threshold, the I2C bus calibration process is re-triggered until the accuracy meets the standard, ultimately ensuring that the system's acquisition accuracy error is ≤0.1% within 24 hours.

[0054] The calibration unit implements a frequency-band dynamic calibration mechanism, with an accuracy error of ≤0.1% within 24 hours. It can adapt to temperature and load changes in the server testing environment, avoid long-term test deviation accumulation, and ensure the consistency of test data throughout the product development and mass production process.

[0055] Based on the above embodiments, as an implementable approach, in one embodiment, the sampling module further includes: an algorithm detection unit, used to acquire real-time signal amplitude data during the sampling of the target electromagnetic interference signal; calculate the mean and standard deviation of the signal amplitude data based on the signal amplitude data within a preset statistical time window; determine a dynamic amplitude threshold based on the mean, standard deviation, and a preset confidence coefficient; compare the real-time acquired signal amplitude with the dynamic amplitude threshold, and determine that the target electromagnetic interference signal is a normal acquisition signal if the signal amplitude is within the threshold range corresponding to the dynamic amplitude threshold; and transmit the acquired signal amplitude as target sampled data to the analysis module.

[0056] Specifically, in one embodiment, the dynamic amplitude threshold can be determined based on the following formula:

[0057] in, Indicates the dynamic amplitude threshold. This represents the mean. Indicates standard deviation, This indicates the preset confidence coefficient. Examples of possible values ​​include 2 or 3, with the mean and standard deviation recalculated every minute.

[0058] Specifically, such as Figure 9 The diagram shown illustrates the business process of the algorithm detection unit provided in this application embodiment. The algorithm detection unit belongs to the algorithm detection layer of the sampling module. This system needs to perform ultra-wide channel scanning of 150k~25G, with a cycle potentially lasting several minutes. The transient interference signal within this scanning has a cycle of only a few hundred milliseconds, significantly different from the several-minute scanning cycle. Therefore, based on the real-time signal amplitude data stream from dual ADCs, an online dynamic alarm threshold is designed. The system performs real-time signal discrimination during hardware acquisition to ensure that transient interference is not missed. If the total number of sampling points N within the window is determined by the ADC sampling rate and the window duration, the preferred statistical time window length for transient interference (preset statistical time window) is 200ms.

[0059] mean with standard deviation Real-time calculation based on sampled data (signal amplitude data) within a 200ms sliding window:

[0060]

[0061]

[0062] in, This represents the i-th data point (i-th signal amplitude) in the signal amplitude data. When the data follows a normal distribution (normal electromagnetic signals are composed of superimposed random noise from multiple sources, and are naturally approximately normally distributed). To collect confidence coefficients (preset confidence coefficients), the associated confidence intervals are as follows: ​​ : Corresponding to a 95.4% confidence interval ( It is suitable for scenarios that tolerate moderate fluctuations and has the advantages of high sensitivity and the ability to quickly detect anomalies.

[0063] : Corresponding to a 99.7% confidence interval ( It is suitable for scenarios with high reliability requirements and has the advantage of a false negative rate of less than 0.3%.

[0064] Furthermore, in determining the dynamic amplitude threshold ( and After that, If the real-time acquired signal amplitude falls within this threshold range, the target electromagnetic interference signal is determined to be a normal acquisition signal; the acquired signal amplitude is then transmitted to the analysis module as target sampling data (full data with time-series reference).

[0065] Furthermore, in one embodiment, the algorithm detection unit is also used to determine that the target electromagnetic interference signal is a transient interference event when the signal amplitude exceeds the threshold range corresponding to the dynamic amplitude threshold, and to trigger the hardware trigger buffer mechanism; to acquire the sampling data within a preset time period before the transient interference event occurs and within a preset time period after the transient interference event occurs, so as to completely record the waveform data corresponding to the transient interference event.

[0066] Specifically, if the amplitude of the signal acquired in real time exceeds this threshold range (less than...) or greater than If the target electromagnetic interference signal is determined to be a transient interference event, the hardware triggers a caching mechanism to fully retain the waveform details of the sampled data within 50ms (preset time period) before and after the interference occurs. This ensures that no nanosecond-level transient interference is missed at high-speed ports, solves the industry pain point of missed detection in compliance testing, and provides reliable data support for subsequent interference source tracing and feature analysis.

[0067] The sampling module is based on a frequency division of labor between a main analog-to-digital converter (ADC) (handling high-frequency input from the server in the 500M~25G range) and an auxiliary ADC (handling low-to-mid-frequency interference from the server in the 150K~500M range). It integrates high-speed hardware acquisition with dynamic algorithm detection to achieve proactive sensing and accurate capture of interference signals across the entire frequency band. The architecture employs high-frequency main processing and precise mid-frequency compensation, combined with a dynamic threshold algorithm, to solve the problem of transient interference escape.

[0068] The electromagnetic interference analysis system provided in this application has several advantages. First, the gain module selects a suitable target gain channel based on the signal characteristics of the electromagnetic interference signal being analyzed, preventing weak signals from being overwhelmed by noise and strong signals from saturating and distorting. Second, the sampling module performs differential sampling on the target electromagnetic interference signal based on its frequency characteristics, further ensuring the coverage of the sampling data and improving the accuracy of the electromagnetic interference analysis results. Third, the sampling module has comprehensive frequency band coverage, encompassing interference signals from 150kHz to 25GHz, with high signal acquisition accuracy and minimal escaping transient interference. The calibration unit design allows the system to adapt to temperature and load variations in server testing environments, preventing the accumulation of long-term test deviations and ensuring the consistency of test data throughout the product development and mass production process.

[0069] From the above description of the embodiments, those skilled in the art can clearly understand that the system according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platform, or of course by hardware.

[0070] This application provides an electromagnetic interference analysis method, applied to the electromagnetic interference analysis system provided in the above embodiments. The execution subject of this application embodiment is an electronic device, such as a server, desktop computer, laptop computer, tablet computer, and other electronic devices that can be used for electromagnetic interference analysis.

[0071] like Figure 10 The diagram shown is a flowchart illustrating the electromagnetic interference analysis method provided in this application embodiment. The method includes: Step 1001: Obtain the electromagnetic interference signal to be analyzed based on the gain module, determine the gain decision value according to the signal characteristics of the electromagnetic interference signal to be analyzed, and determine the target gain channel corresponding to the electromagnetic interference signal to be analyzed based on the gain decision value, so as to perform signal gain processing on the electromagnetic interference signal to be analyzed based on the target gain channel to obtain the target electromagnetic interference signal, and transmit the target electromagnetic interference signal to the sampling module. Step 1002: Based on the frequency characteristics of the target electromagnetic interference signal, the sampling module performs differential sampling on the target electromagnetic interference signal to obtain target sampling data, and transmits the target sampling data to the analysis module. Step 1003: Analyze the target sampling data based on the analysis module to obtain the corresponding electromagnetic interference analysis results.

[0072] Among them, the gain channels are divided into at least four types: low-noise high-gain channels, adaptive gain channels, unity-gain channels, and intelligent attenuation channels. The low-noise high-gain channel amplifies the electromagnetic interference signal to be analyzed through a multi-stage amplification chain. The adaptive gain channel amplifies the electromagnetic interference signal to be analyzed by dynamically adjusting the amplification factor through a programmable gain amplifier. The unity-gain channel transmits at unity gain, preserving the original amplitude characteristics of the electromagnetic interference signal to be analyzed. The intelligent attenuation channel attenuates the electromagnetic interference signal to be analyzed through a step attenuator.

[0073] Specifically, in one embodiment, the gain module includes: a preprocessing unit and a gain adaptive unit. The preprocessing unit acquires the electromagnetic interference signal to be analyzed, determines a gain decision value based on the signal characteristics of the electromagnetic interference signal, and determines a target gain channel corresponding to the electromagnetic interference signal based on the gain decision value. The target gain channel is then used to perform signal gain processing on the electromagnetic interference signal to be analyzed to obtain the target electromagnetic interference signal. The target electromagnetic interference signal is then transmitted to the sampling module. Step 10011: Obtain the original electromagnetic interference signal based on the preprocessing unit, perform signal preprocessing on the original electromagnetic interference signal, and obtain the electromagnetic interference signal to be analyzed. Step 10012: Based on the gain adaptive unit, the gain decision value is determined according to the signal characteristics of the electromagnetic interference signal to be analyzed, and the target gain channel corresponding to the electromagnetic interference signal to be analyzed is determined according to the gain decision value. The signal gain processing of the electromagnetic interference signal to be analyzed is performed based on the target gain channel to obtain the target electromagnetic interference signal, and the target electromagnetic interference signal is transmitted to the sampling module.

[0074] Among them, signal characteristics include at least amplitude characteristics, signal-to-noise ratio characteristics, and bandwidth characteristics.

[0075] Specifically, in one embodiment, the preprocessing unit includes: a first filter, a second filter, and a noise differential amplifier. Specifically, it can filter out spatially coupled common-mode noise in the original electromagnetic interference signal based on the first filter to obtain an electromagnetic interference signal after the first filter; filter out high-frequency spurious interference in different frequency bands in the electromagnetic interference signal after the first filter based on the second filter to obtain an electromagnetic interference signal after the second filter; and perform impedance matching on the electromagnetic interference signal after the second filter based on the noise differential amplifier to output a preprocessed electromagnetic interference signal.

[0076] Specifically, in one embodiment, the gain decision value can be determined based on the following formula:

[0077] in, Indicates the gain decision value. Indicates the preset target amplitude. This indicates the amplitude characteristics of the electromagnetic interference signal to be analyzed. This indicates the signal-to-noise ratio characteristics of the electromagnetic interference signal to be analyzed. This indicates the bandwidth characteristics of the electromagnetic interference signal to be analyzed.

[0078] Specifically, in one embodiment, the sampling module includes: a frequency band identification unit, a down-conversion unit, and a multi-channel synchronous sampling unit. Specifically, the frequency band identification unit characterizes the target channel of the target electromagnetic interference signal based on its frequency characteristics. If the target channel is a preset high-frequency band, a high-frequency trigger signal is generated to activate the down-conversion unit. If the target channel is a preset intermediate-frequency band, an intermediate-frequency trigger signal is generated to directly transmit the target electromagnetic interference signal to the multi-channel synchronous sampling unit. The down-conversion unit responds to the high-frequency trigger signal to convert the target electromagnetic interference signal to a preset intermediate-frequency band before transmitting it to the multi-channel synchronous sampling unit. The multi-channel synchronous sampling unit performs differential sampling on the obtained target electromagnetic interference signal to obtain target sampling data.

[0079] Specifically, in one embodiment, a preset high-frequency band can be divided into multiple independent sub-bands based on a down-conversion unit; for each independent sub-band, the corresponding target electromagnetic interference signal is down-converted using a mixer and an adjustable local oscillator; and the down-converted target electromagnetic interference signal is filtered by a bandpass filter to convert the target electromagnetic interference signal of each independent sub-band into an intermediate frequency signal so that the converted target electromagnetic interference signal is in the preset intermediate frequency band.

[0080] Specifically, in one embodiment, the target electromagnetic interference signal output by the downconversion unit and the target electromagnetic interference signal directly transmitted by the frequency band identification unit can be pre-processed by a multi-channel synchronous sampling unit through a differential input circuit, an anti-aliasing filter, and a buffer; the target electromagnetic interference signal converted by the downconversion unit is sampled by the main analog-to-digital converter, and the target electromagnetic interference signal directly transmitted by the frequency band identification unit is sampled by the auxiliary analog-to-digital converter to obtain target sampling data.

[0081] The sampling frequency of the main analog-to-digital converter is greater than that of the auxiliary analog-to-digital converter.

[0082] Specifically, in one embodiment, the multi-channel synchronous sampling unit further includes: a synchronous clock circuit and a target logic device; specifically, the synchronous clock circuit can provide a synchronous clock signal to the main analog-to-digital converter and the auxiliary analog-to-digital converter so that the main analog-to-digital converter and the auxiliary analog-to-digital converter can perform synchronous sampling based on the same timing reference; the target logic device can acquire the sampling data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter, and the sampling data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter can be spliced ​​and integrated to obtain the target sampling data.

[0083] Specifically, in one embodiment, the sampling module further includes a calibration unit, which can obtain the sampling status information of the multi-channel synchronous sampling unit based on the calibration unit, determine the corresponding calibration trigger condition according to the sampling status information, and perform frequency band dynamic calibration on the main analog-to-digital converter and the auxiliary analog-to-digital converter respectively when the calibration trigger condition is met, so as to obtain the corresponding calibration result, and correct the sampling parameters of the multi-channel synchronous sampling unit according to the calibration result.

[0084] Specifically, in one embodiment, the sampling module further includes an algorithm detection unit, which can acquire real-time signal amplitude data during the sampling process of the target electromagnetic interference signal; calculate the mean and standard deviation of the signal amplitude data based on the signal amplitude data within a preset statistical time window; determine a dynamic amplitude threshold based on the mean, standard deviation, and a preset confidence coefficient; compare the real-time acquired signal amplitude with the dynamic amplitude threshold; determine that the target electromagnetic interference signal is a normal acquisition signal if the signal amplitude is within the threshold range corresponding to the dynamic amplitude threshold; and transmit the acquired signal amplitude as target sampled data to the analysis module.

[0085] Specifically, in one embodiment, the dynamic amplitude threshold can be determined based on the following formula:

[0086] in, Indicates the dynamic amplitude threshold. This represents the mean. Indicates standard deviation, This indicates the preset confidence coefficient.

[0087] Specifically, in one embodiment, the algorithm detection unit can determine that the target electromagnetic interference signal is a transient interference event when the signal amplitude exceeds the threshold range corresponding to the dynamic amplitude threshold, and trigger the hardware trigger buffer mechanism; and acquire the sampling data within a preset time period before the transient interference event and within a preset time period after the transient interference event to completely record the waveform data corresponding to the transient interference event.

[0088] For a description of the features in the embodiments corresponding to the electromagnetic interference analysis method, please refer to the relevant descriptions in the embodiments corresponding to the electromagnetic interference analysis system, which will not be repeated here.

[0089] Embodiments of this application also provide an electronic device, such as... Figure 11 The diagram shown is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, including a processor 10 and a memory 20. The memory 20 stores a computer program, and the processor 10 is configured to run the computer program to execute the steps in any of the above-described electromagnetic interference analysis method embodiments.

[0090] Embodiments of this application also provide a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above-described electromagnetic interference analysis method embodiments when it is run.

[0091] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0092] Embodiments of this application also provide a computer program product, which includes a computer program that, when executed by a processor, implements the steps in any of the above-described electromagnetic interference analysis method embodiments.

[0093] Embodiments of this application also provide another computer program product, including a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in any of the above-described electromagnetic interference analysis method embodiments.

[0094] Any of the components, modules, units, parts, methods, and operations described herein can be implemented using software, firmware, hardware (e.g., fixed logic circuitry), manual processing, or any combination thereof. Alternatively or additionally, any functionality described herein can be executed at least in part by one or more hardware logic components, such as, but not limited to, a central processing unit (CPU), a field-programmable gate array (FPGA), an application-specific integrated circuit (ASIC), an application-specific standard product (ASSP), a system-on-a-chip (SoC), a complex programmable logic device (CPLD), a microprocessor (MCU), etc. The terms "system," "computing device," or "apparatus" as used herein encompass various means, devices, and machines for processing data, including, for example, one or more programmable processors, computers, SoCs, or combinations thereof. The apparatus may also include code that creates an execution environment for the computer program in question, such as code constituting processor firmware, a protocol stack, a database management system, an operating system, a cross-platform runtime environment, a virtual machine, or one or more combinations thereof. The aforementioned computer program (also known as a program, software, software application, app, script, or code) can be written in any form of programming language, including compiled or interpreted languages, declarative or procedural languages, and can be deployed in any form, including as a standalone program or as a module, component, subroutine, object, or other unit suitable for a computing environment.

[0095] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] The electromagnetic interference analysis system, method, and electronic device provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are only intended to help understand the method and core ideas of this application. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of this application.

Claims

1. An electromagnetic interference analysis system, characterized in that, include: Gain module, sampling module, and analysis module; The gain module is used to acquire the electromagnetic interference signal to be analyzed, determine the gain decision value based on the signal characteristics of the electromagnetic interference signal to be analyzed, and determine the target gain channel corresponding to the electromagnetic interference signal to be analyzed based on the gain decision value, so as to perform signal gain processing on the electromagnetic interference signal to be analyzed based on the target gain channel to obtain the target electromagnetic interference signal, and transmit the target electromagnetic interference signal to the sampling module. The sampling module is used to perform differential sampling on the target electromagnetic interference signal according to the frequency characteristics of the target electromagnetic interference signal to obtain target sampling data, and transmit the target sampling data to the analysis module; The analysis module is used to analyze the target sampling data to obtain the corresponding electromagnetic interference analysis results.

2. The electromagnetic interference analysis system according to claim 1, characterized in that, Gain channels can be classified into at least four types: low-noise high-gain channels, adaptive gain channels, unity-gain channels, and intelligent attenuation channels. The low-noise, high-gain channel amplifies the electromagnetic interference signal to be analyzed through a multi-stage amplification chain. The adaptive gain path amplifies the electromagnetic interference signal to be analyzed by dynamically adjusting the amplification factor through a programmable gain amplifier. The unity-gain channel transmits at unity gain, preserving the original amplitude characteristics of the electromagnetic interference signal to be analyzed. The intelligent attenuation channel attenuates the electromagnetic interference signal to be analyzed through a step attenuator.

3. The electromagnetic interference analysis system according to claim 1, characterized in that, The gain module includes: The preprocessing unit is used to acquire the original electromagnetic interference signal, perform signal preprocessing on the original electromagnetic interference signal, and obtain the electromagnetic interference signal to be analyzed. The gain adaptive unit is used to determine a gain decision value based on the signal characteristics of the electromagnetic interference signal to be analyzed, and to determine the target gain channel corresponding to the electromagnetic interference signal to be analyzed based on the gain decision value, so as to perform signal gain processing on the electromagnetic interference signal to be analyzed based on the target gain channel to obtain the target electromagnetic interference signal, and to transmit the target electromagnetic interference signal to the sampling module. The signal characteristics include at least amplitude characteristics, signal-to-noise ratio characteristics, and bandwidth characteristics.

4. The electromagnetic interference analysis system according to claim 3, characterized in that, The preprocessing unit includes: The first filter is used to filter out the spatially coupled common-mode noise in the original electromagnetic interference signal to obtain the electromagnetic interference signal after the first filter. The second filter is used to filter out high-frequency spurious interference in different frequency bands in the electromagnetic interference signal that has been filtered by the first filter, so as to obtain the electromagnetic interference signal that has been filtered by the second filter. A noise differential amplifier is used to perform impedance matching on the electromagnetic interference signal that has been filtered in the second step, and output a pre-processed electromagnetic interference signal.

5. The electromagnetic interference analysis system according to claim 3, characterized in that, The gain adaptive unit is specifically used for: The gain decision value is determined based on the following formula: in, Indicates the gain decision value. Indicates the preset target amplitude. This indicates the amplitude characteristics of the electromagnetic interference signal to be analyzed. This indicates the signal-to-noise ratio characteristics of the electromagnetic interference signal to be analyzed. This indicates the bandwidth characteristics of the electromagnetic interference signal to be analyzed.

6. The electromagnetic interference analysis system according to claim 1, characterized in that, The sampling module includes: The frequency band identification unit is used to characterize the target channel of the target electromagnetic interference signal according to the frequency characteristics of the target electromagnetic interference signal. When the target channel is a preset high frequency band, it generates a high frequency trigger signal to activate the downconversion unit. When the target channel is a preset medium frequency band, it generates a medium frequency trigger signal to directly transmit the target electromagnetic interference signal to the multi-channel synchronous sampling unit. The downconversion unit is used to respond to the high-frequency trigger signal to convert the target electromagnetic interference signal to the preset intermediate frequency band and then transmit it to the multi-channel synchronous sampling unit. The multi-channel synchronous sampling unit is used to perform differential sampling on the obtained target electromagnetic interference signal to obtain target sampling data.

7. The electromagnetic interference analysis system according to claim 6, characterized in that, The down-conversion unit is specifically used for: The preset high-frequency band is divided into multiple independent sub-bands; For each of the independent sub-bands, the corresponding target electromagnetic interference signal is down-converted using a mixer and an adjustable local oscillator; The target electromagnetic interference signal after down-conversion is filtered by a bandpass filter to convert the target electromagnetic interference signal of each independent sub-band into an intermediate frequency signal, so that the converted target electromagnetic interference signal is in the preset intermediate frequency band.

8. The electromagnetic interference analysis system according to claim 6, characterized in that, The multi-channel synchronous sampling unit is specifically used for: The target electromagnetic interference signal output by the downconversion unit and the target electromagnetic interference signal directly transmitted by the frequency band identification unit are pre-processed by using a differential input circuit, an anti-aliasing filter and a buffer. The target electromagnetic interference signal converted by the downconversion unit is sampled by the main analog-to-digital converter, and the target electromagnetic interference signal directly transmitted by the frequency band identification unit is sampled by the auxiliary analog-to-digital converter to obtain the target sampling data. The sampling frequency of the main analog-to-digital converter is greater than that of the auxiliary analog-to-digital converter.

9. The electromagnetic interference analysis system according to claim 8, characterized in that, The multi-channel synchronous sampling unit also includes: A synchronous clock circuit is used to provide a synchronous clock signal to the main analog-to-digital converter and the auxiliary analog-to-digital converter so that the main analog-to-digital converter and the auxiliary analog-to-digital converter perform synchronous sampling based on the same timing reference; The target logic device is used to acquire the sampled data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter, and to concatenate and integrate the sampled data output by the main analog-to-digital converter and the auxiliary analog-to-digital converter to obtain the target sampled data.

10. The electromagnetic interference analysis system according to claim 8, characterized in that, The sampling module further includes: The calibration unit is used to acquire the sampling status information of the multi-channel synchronous sampling unit, determine the corresponding calibration trigger condition based on the sampling status information, and perform frequency band dynamic calibration on the main analog-to-digital converter and the auxiliary analog-to-digital converter respectively when the calibration trigger condition is met, so as to obtain the corresponding calibration result, and correct the sampling parameters of the multi-channel synchronous sampling unit based on the calibration result.

11. The electromagnetic interference analysis system according to claim 8, characterized in that, The sampling module further includes an algorithm detection unit, used for: During the sampling process of the target electromagnetic interference signal, real-time signal amplitude data is acquired; Based on the signal amplitude data within a preset statistical time window, calculate the mean and standard deviation of the signal amplitude data; The dynamic amplitude threshold is determined based on the mean, the standard deviation, and the preset confidence coefficient. The real-time acquired signal amplitude is compared with the dynamic amplitude threshold. If the signal amplitude is within the threshold range corresponding to the dynamic amplitude threshold, the target electromagnetic interference signal is determined to be a normal acquisition signal. The collected signal amplitude is transmitted as the target sample data to the analysis module.

12. The electromagnetic interference analysis system according to claim 11, characterized in that, The algorithm detection unit is specifically used for: The dynamic amplitude threshold is determined based on the following formula: in, This represents the dynamic amplitude threshold. This represents the mean. This represents the standard deviation. This indicates the preset confidence coefficient.

13. The electromagnetic interference analysis system according to claim 11, characterized in that, The algorithm detection unit is also used for: If the signal amplitude exceeds the threshold range corresponding to the dynamic amplitude threshold, the target electromagnetic interference signal is determined to be a transient interference event, and a hardware trigger buffer mechanism is triggered. Acquire sampling data within a preset time period before the transient interference event occurs and within a preset time period after the transient interference event occurs, so as to completely record the waveform data corresponding to the transient interference event.

14. An electromagnetic interference analysis method, characterized in that, The method is applied to the electromagnetic interference analysis system as described in any one of claims 1 to 13, and the method includes: The electromagnetic interference signal to be analyzed is acquired based on the gain module. According to the signal characteristics of the electromagnetic interference signal to be analyzed, the gain decision value is determined. According to the gain decision value, the target gain channel corresponding to the electromagnetic interference signal to be analyzed is determined. The signal gain processing of the electromagnetic interference signal to be analyzed is performed based on the target gain channel to obtain the target electromagnetic interference signal. The target electromagnetic interference signal is then transmitted to the sampling module. Based on the frequency characteristics of the target electromagnetic interference signal, the sampling module performs differential sampling on the target electromagnetic interference signal to obtain target sampling data, and transmits the target sampling data to the analysis module; The target sampling data is analyzed by the analysis module to obtain the corresponding electromagnetic interference analysis results.

15. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to implement the steps of the electromagnetic interference analysis method as described in claim 14 when executing the computer program.

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