EMC interference source rapid positioning method, system and device

Abstract

The invention discloses an EMC interference source rapid positioning method, system and device, and relates to the technical field of electrical measurement, and the method comprises the steps: laying a monitoring sensor network based on an electromagnetic interference signal conduction path and a radiation path of a tested device; connecting a monitoring sensing network, and acquiring interference signal data of the tested equipment in real time; performing spectrum analysis and interference type judgment on the acquired interference signal data; and taking the data acquisition flag bit as a positioning engine, and respectively carrying out adaptive interference tracking analysis according to the interference type based on judgment to obtain an interference source positioning result. The technical problems that an existing electromagnetic interference source positioning method cannot position the interference source in real time when the equipment operates normally, the positioning efficiency is low, and the accuracy is poor are solved, and the technical effect that efficient and accurate interference source positioning is achieved in the normal operation state of the equipment by collecting interference signal data in real time to conduct self-adaptive tracking analysis is achieved.

Description

Technical Field

[0001] This invention relates to the field of electrical measurement technology, specifically to a method, system, and equipment for rapid location of EMC interference sources. Background Technology

[0002] In modern electronic devices, electromagnetic interference (EMI) has become a significant factor affecting equipment performance and stability. EMI not only disrupts the normal operation of equipment but can also adversely impact other devices in the surrounding environment, even leading to equipment malfunctions. As equipment functions become increasingly complex, traditional electromagnetic compatibility (EMC) testing methods face challenges such as low accuracy, poor efficiency, and operational complexity. This is especially true in complex systems where multiple interference sources may coexist, further complicating the identification of these sources.

[0003] Currently, most methods for locating interference sources rely on manual detection and traditional testing instruments, which typically require equipment shutdown or disassembly, and are slow and inaccurate. Furthermore, existing methods have weak real-time monitoring capabilities for interference signals, making it difficult to identify and accurately locate interference sources in real time during normal equipment operation. Summary of the Invention

[0004] This application provides a method, system, and device for rapid location of EMC interference sources, which solves the technical problems of existing electromagnetic interference source location methods being unable to locate interference sources in real time while the equipment is operating normally, resulting in low location efficiency and poor accuracy.

[0005] The first aspect of this application provides a method for rapid localization of EMC interference sources. The method includes: deploying a monitoring sensor network based on the electromagnetic interference signal conduction and radiation paths of the device under test; connecting the monitoring sensor network to collect interference signal data of the device under test in real time, wherein the interference signal data includes data acquisition marker bits for identifying the acquisition time, location, and device operating conditions; performing spectrum analysis and interference type determination on the collected interference signal data; and using the data acquisition marker bits as a localization engine to perform adaptive interference tracking analysis according to the determined interference type to obtain the interference source localization result.

[0006] A second aspect of this application provides a rapid EMC interference source localization system, the system comprising: a monitoring sensor network deployment module for deploying a monitoring sensor network based on the electromagnetic interference signal propagation and radiation paths of the device under test; an interference signal acquisition module for connecting to the monitoring sensor network and acquiring interference signal data of the device under test in real time, wherein the interference signal data includes data acquisition marker bits for identifying the acquisition time, location, and device operating condition; an interference signal analysis module for performing spectrum analysis and interference type determination on the acquired interference signal data; and an adaptive interference tracking module for using the data acquisition marker bits as a localization engine to perform adaptive interference tracking analysis according to the determined interference type, thereby obtaining the interference source localization result.

[0007] A third aspect of this application provides an electronic device comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the method described in any of the first aspects.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: The method, system, and equipment for rapid EMC interference source localization provided in this application relate to the field of electrical measurement technology. By deploying a monitoring sensor network, interference signal data is collected in real time. Combined with spectrum analysis, interference type determination, and adaptive tracking analysis, and using data acquisition markers to identify spatiotemporal relationships, supplemented by perturbation frequency tracking and near-field probe scanning, the location of the interference source can be quickly locked under normal equipment operation. This achieves efficient and accurate interference source localization, solving the technical problems of existing electromagnetic interference source localization methods being unable to locate the interference source in real time under normal equipment operation, resulting in low localization efficiency and poor accuracy. It realizes the technical effect of achieving efficient and accurate interference source localization under normal equipment operation by performing adaptive tracking analysis through real-time acquisition of interference signal data. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic flowchart of a method for rapid localization of EMC interference sources provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of the rapid EMC interference source localization system provided in the embodiments of this application; Figure 3This application provides a schematic diagram of the structure of an electronic device.

[0011] Explanation of reference numerals in the attached figures: 11 Monitoring sensor network deployment module, 12 Interference signal acquisition module, 13 Interference signal analysis module, 14 Adaptive interference tracking module, 300 Electronic device, 301 Memory, 302 Processor, 303 Communication interface, 304 Bus architecture. Detailed Implementation

[0012] This application provides a method, system, and device for rapid location of EMC interference sources, which solves the technical problems of existing electromagnetic interference source location methods being unable to locate interference sources in real time while the equipment is operating normally, resulting in low location efficiency and poor accuracy.

[0013] 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 a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] It should be noted that the terms "first," "second," etc., used in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0015] Example 1, as Figure 1 As shown, this application provides a method for rapid localization of EMC interference sources, the method comprising: P10: Based on the electromagnetic interference signal transmission and radiation paths of the device under test, deploy a monitoring sensor network.

[0016] Furthermore, step P10 in this embodiment of the application also includes: P11: Based on historical interference monitoring samples and the electrical topology of the device under test, calculate the electromagnetic interference signal conduction probability and radiation probability of each node in the topology; P12: Based on the distribution of the conduction probability and radiation probability in the topology, combined with the device connection relationship, return path and structural layout, determine the possible conduction path and radiation path of the electromagnetic interference signal of the device under test, including the probability distribution; P13: Based on the probability distribution, optimize the deployment of monitoring sensor equipment, deploy the monitoring sensor network, and maximize the coverage probability and positioning spatial location, while minimizing the deployment cost under the conditions of satisfying the coverage probability and positioning spatial accuracy.

[0017] The monitoring sensor network sets monitoring nodes at the power input end, key signal interface, and spatial proximity of the equipment casing or cable outlet to form a multi-point acquisition link covering different interference paths. The relative positional interval between the monitoring nodes is set according to the interference propagation characteristics, so that any interference signal can be captured in real time by at least one monitoring node within the shortest propagation path.

[0018] It should be understood that a monitoring sensor network is deployed based on the electromagnetic interference signal propagation and radiation paths of the device under test (DUT). First, based on historical interference monitoring samples and the electrical topology of the DUT, the propagation characteristics of interference signals within the system can be clarified by calculating the electromagnetic interference signal propagation and radiation probabilities at each node within the device. The electrical topology includes the connection methods between various components and circuits within the device, while historical interference samples provide data support regarding the propagation behavior of different interference signals. Based on this, the signal propagation and radiation probabilities of each node are analyzed in conjunction with historical sample data. The propagation probability refers to the likelihood of an interference signal propagating from one node to another through a transmission medium such as a wire; while the radiation probability refers to the likelihood of an interference signal propagating from one node to another through a spatial electromagnetic field. Through this analysis, it is possible to determine which locations and nodes within the device are most likely to become interference sources and to identify the potential propagation paths of interference signals.

[0019] Next, combining the analysis results of conduction and radiation probabilities, and considering the structural layout and electrical connections of the equipment, the specific conduction and radiation paths of electromagnetic interference signals are further determined. The internal return paths, connections, and physical layout of the equipment have a crucial impact on the signal propagation path. For example, power input terminals, critical signal interfaces, casings, and cable exits are typically high-risk areas for interference signals, which may spread to the external environment through these areas. Therefore, through in-depth analysis of conduction and radiation paths, combined with the electrical design and physical structure of the equipment, the propagation path of interference signals and their potential impact range can be predicted. At this point, based on the propagation characteristics of electromagnetic interference, it can be determined which paths require focused monitoring. More monitoring sensors should be deployed along paths with high conduction probabilities to ensure effective capture of interference signals; while in areas with low radiation probabilities, the number of sensors can be appropriately reduced, thereby ensuring monitoring effectiveness while lowering deployment costs.

[0020] Next, based on the probability distribution of the interference signal propagation path, the deployment of the monitoring sensor network is further optimized. An optimization algorithm determines the placement and number of sensors to maximize interference signal coverage and positioning accuracy while minimizing deployment costs. Specifically, the optimization algorithm needs to balance the following aspects: firstly, the coverage probability of the monitoring network, ensuring that the sensors can cover all possible propagation paths of the interference signal; secondly, the spatial accuracy of positioning, ensuring that the sensor placement locations provide sufficient spatial resolution for accurate interference source localization. In this process, sensor placement should prioritize key node locations on the equipment, such as power input terminals, critical signal interfaces, housings, and cable exits, as these locations are often the sources of interference signal propagation. Furthermore, the relative spacing between monitoring nodes needs to be rationally set according to the propagation characteristics of the interference signal to ensure that the signal can be captured in real time by at least one monitoring node within the shortest propagation path.

[0021] In practical implementation, the monitoring sensor network sets up monitoring nodes at the power input end, key signal interfaces, and spatially adjacent locations such as equipment casings or cable exits to form a multi-point acquisition link covering different interference paths. These locations are chosen based on the propagation characteristics of electromagnetic interference signals. The power input end and key signal interfaces are typically the main conduction paths of electromagnetic interference signals, while the equipment casing or cable exits are important areas of radiation paths. By setting up monitoring nodes at these key locations, interference signals on different paths can be effectively captured. The relative spacing between monitoring nodes is set according to the interference propagation characteristics, ensuring that any interference signal can be captured in real time by at least one monitoring node within the shortest propagation path. This deployment method not only improves monitoring efficiency but also ensures the comprehensiveness and accuracy of monitoring.

[0022] Furthermore, step P11 in the embodiments of this application also includes: P11-1: Collect historical interference monitoring samples of the same model or similar equipment in previous EMC tests, including: interference signal waveform data, spectrum characteristics, and test environment records; P11-2: Obtain the electrical topology diagram of the device under test, including the connection method and physical layout of the power module, signal processing module, drive module, and shell shielding structure; P11-3: Based on the correlation between the historical interference monitoring samples and the nodes and connection paths in the electrical topology diagram, calculate the probability that each node in the topology becomes an interference source / interference path starting point, and the probability that the interference signal propagates outward by conduction or radiation, and obtain the conduction probability and radiation probability.

[0023] Optionally, the analysis of historical interference monitoring samples and the electrical topology of the device under test can be further refined to more accurately calculate the conduction probability and radiation probability of each node.

[0024] First, it is necessary to collect historical interference monitoring samples from previous electromagnetic compatibility (EMC) tests of the same model or similar equipment. These samples should include waveform data, spectral characteristics, and test environment records of the interference signals. Waveform data reflects the time-domain characteristics of the interference signals, such as amplitude and duration; spectral characteristics reveal the frequency distribution of the interference signals, helping to identify the type of interference source; and test environment records provide the background conditions for the generation of the interference signals, such as the operating status of the equipment and the electromagnetic environment of the test site. This historical data provides important reference for subsequent probability calculations.

[0025] Next, obtain the electrical topology diagram of the device under test. This diagram details the connection methods and physical layout of the various modules within the device. Specifically, it includes key components such as the power supply module, signal processing module, drive module, and the enclosure shielding structure. By analyzing the electrical topology diagram, the connection relationships between each node and the signal transmission path within the device can be clearly identified. This is crucial for understanding the possible propagation paths of electromagnetic interference signals, as interference signals typically propagate along electrical connection paths or through spatial radiation.

[0026] Next, based on the collected historical interference monitoring samples and electrical topology diagram, and combining the relationships between nodes and connection paths in the topology, further analysis and calculations are performed. Specifically, by analyzing the waveform data and spectral characteristics of interference signals in historical samples, and combining the relationships between nodes and connection paths in the electrical topology diagram, the probability of each node becoming an interference source under specific conditions can be determined. For example, if a node repeatedly exhibits high-frequency interference signals in historical samples, and this node is located near a power module, it can be inferred that this node has a high probability of becoming an interference source. Simultaneously, based on the propagation characteristics of interference signals (such as conduction loss and radiation intensity), the probability of interference signals propagating outward from this node is calculated. The conduction probability refers to the probability that the interference signal propagates to other nodes through connection paths such as wires; the radiation probability refers to the probability that the interference signal propagates to other nodes or the external environment through spatial electromagnetic fields. Through these calculations, the conduction probability and radiation probability of each node are finally obtained. This probability data provides an important foundation for subsequent steps, making the deployment of the monitoring sensor network more scientific, reasonable, and targeted. By optimizing the deployment of monitoring sensor networks, the monitoring efficiency of electromagnetic interference signals and the positioning accuracy of interference sources can be effectively improved, while reducing deployment costs.

[0027] P20: Connect to the monitoring sensor network to collect interference signal data of the device under test in real time. The interference signal data includes data acquisition marker bits used to identify the acquisition time, location and device operating condition.

[0028] Specifically, a monitoring sensor network is connected to collect interference signal data from the device under test in real time. To ensure the validity of the data and the accuracy of subsequent analysis, the collected interference signal data includes data acquisition markers to identify the acquisition time, location, and device operating condition. These markers can be used to determine spatiotemporal relationships, providing strong support for subsequent interference signal analysis and interference source localization.

[0029] Specifically, the first step is to connect the monitoring sensor network to the device under test (DUT). The monitoring sensor network consists of multiple monitoring nodes distributed at key locations on the DUT, such as power inputs, critical signal interfaces, the device casing, or cable exits. These locations are chosen based on the conduction and radiation paths of electromagnetic interference signals to ensure comprehensive capture of interference signals along different paths. Once connected, the monitoring sensor network begins real-time acquisition of interference signal data from the DUT.

[0030] The acquired interference signal data includes not only basic characteristics such as signal amplitude and frequency, but also data acquisition markers to identify the acquisition time, location, and equipment operating condition. These markers can be combinations of timestamps, location numbers, and operating condition codes. The timestamp records the specific point in time the interference signal was acquired, which is crucial for analyzing the temporal characteristics of the interference signal; the location number identifies the specific location of the monitoring node that acquired the signal, helping to determine the spatial distribution of the interference signal; and the operating condition code reflects the operating status of the device under test at the time of acquisition, such as whether the device is in startup, running, or standby mode. The combination of these information provides rich contextual information for subsequent interference signal analysis.

[0031] For example, when a monitoring node records a high-frequency interference signal at a specific timestamp, the location of the signal can be quickly pinpointed using the location number. Combined with the operating condition code, it can be determined whether the interference signal is related to a specific operating state of the equipment. This spatiotemporal identification greatly facilitates subsequent interference signal analysis and interference source localization. Through these data acquisition markers, interference signals related to specific times, locations, or equipment operating conditions can be quickly filtered out, thereby improving the efficiency and accuracy of interference source localization.

[0032] Furthermore, these data acquisition markers can be used for subsequent interference signal tracking and analysis. For example, during spectrum analysis, interference signals within a specific time period or region can be filtered based on timestamps and location numbers, thus enabling more accurate analysis of the frequency characteristics of the interference signals. When locating interference sources, combining location numbers and operating condition codes can quickly narrow down the possible range of interference sources and improve the accuracy of location.

[0033] P30: Perform spectrum analysis and determine the type of interference on the collected interference signal data.

[0034] Furthermore, step P30 in this embodiment of the application also includes: P31: Perform a fast Fourier transform on the collected interference signal to obtain the harmonic amplitude spectrum at each frequency point; P32: Determine the frequency distribution characteristics of the interference based on the harmonic amplitude spectrum, and compare the amplitude with the preset electromagnetic compatibility limit; P33: Distinguish between common-mode interference and differential-mode interference according to the amplitude distribution and phase relationship.

[0035] It should be understood that performing spectrum analysis on the collected interference signal data and determining the type of interference based on the analysis results helps to identify the frequency characteristics of the interference signal, determine whether it exceeds the limits of electromagnetic compatibility standards, and further distinguish the type of interference based on the amplitude and phase characteristics of the signal.

[0036] First, a Fast Fourier Transform (FFT) is performed on the acquired interference signal to obtain the harmonic amplitude spectrum at each frequency point. The Fast Fourier Transform is an efficient algorithm that converts a time-domain signal into a frequency-domain signal, thereby revealing the frequency components of the signal. Through FFT processing, the amplitude distribution of the interference signal at different frequency points can be obtained, forming a harmonic amplitude spectrum. This spectrum provides the basic data for subsequent interference type determination. For example, high amplitudes at certain specific frequencies may indicate specific types of interference sources, such as high-frequency switching noise from a power supply or electromagnetic radiation from a motor.

[0037] Next, the frequency distribution characteristics of the interference are determined based on the harmonic amplitude spectrum, and the amplitude is compared with the preset electromagnetic compatibility (EMC) limits. In practical applications, different electromagnetic interference sources typically have different frequency distribution characteristics. By analyzing the harmonic amplitude spectrum, the main frequency components of the interference signal and their distribution patterns can be identified. For example, if the amplitude spectrum shows a significant peak within a certain frequency range, it may indicate that the interference within that frequency range is relatively significant. Furthermore, comparing the amplitude with the preset EMC limits can determine whether the interference signal exceeds the allowable range specified by the standard. EMC limits are set according to international or domestic standards to ensure that equipment operates normally in an electromagnetic environment without interfering with other equipment. If the amplitude exceeds the limit, it indicates that the interference signal may pose a threat to the normal operation of the equipment and requires further processing.

[0038] Finally, based on the amplitude distribution and phase relationship in the spectrum analysis results, the type of interference signal is distinguished. Electromagnetic interference signals can generally be divided into two types: common-mode interference and differential-mode interference. Common-mode interference refers to signals propagating simultaneously in the same direction between the signal line and ground, usually occurring at the power input or grounding point; while differential-mode interference refers to signals propagating between two signal lines in opposite directions, usually occurring in signal transmission lines. By analyzing the amplitude distribution and phase relationship, the propagation mode of the interference signal can be clarified, thus determining whether it is common-mode or differential-mode interference. Specifically, if the phase relationship of the signals indicates that there is a current propagating in opposite directions between the two lines, then the interference is differential-mode interference; if the phases of the signals are the same, then it is common-mode interference.

[0039] By analyzing the spectrum and determining the type of interference, we can accurately identify the characteristics of interference signals, determine whether they meet electromagnetic compatibility standards, and take corresponding measures based on the type of signal. This can provide technical support for the subsequent location and optimization of electromagnetic interference sources.

[0040] P40: Using the data acquisition marker as the positioning engine, adaptive interference tracking analysis is performed according to the determined interference type to obtain the interference source positioning result.

[0041] Furthermore, step P40 in this embodiment of the application also includes: P41: Based on the data acquisition marker, obtain the preliminary orientation and, in conjunction with the interference type, locate the preliminary suspected path of the interference source; P42: Temporarily apply suppression measures on the preliminary suspected path of the interference source and obtain the comparison signal before and after the measures; P43: Based on the changing trend of the comparison signal before and after the measures, confirm the interference path and source location, and obtain the interference source location result.

[0042] Optionally, by using data acquisition markers as a positioning engine, adaptive interference tracking analysis can be performed based on the determined type of interference to obtain accurate positioning results of the interference source.

[0043] First, based on the aforementioned collected data markers, the preliminary location of the device is obtained, and combined with the interference type determination results, a preliminary suspected path of the interference source is identified. The data markers include information such as time, location, and operating conditions, which helps construct interference propagation models both inside and outside the device. Based on this, by performing spatiotemporal correlation on the interference signals of each node, and combining the type characteristics of the interference signals (such as common-mode interference or differential-mode interference), the possible propagation path of the interference source can be preliminarily determined. This preliminary suspected path is the basis for interference source localization, providing direction for subsequent analysis and verification. For example, if it is determined to be common-mode interference, and the location number of a certain monitoring node points near the power input terminal of the device, then it can be preliminarily suspected that the interference source may be located on or near the power module's conduction path.

[0044] Next, temporary suppression measures are applied along the suspected path of the initial interference source, and comparison signals are obtained before and after the measures. To verify the accuracy of the initial location, temporary suppression measures need to be taken along the suspected interference path, and changes in the interference signal need to be observed. These suppression measures include, but are not limited to, the following: temporarily loading common-mode chokes or ferrite rings along the suspected interference path to suppress common-mode interference signals; adding conductive shielding layers or shielding patches to the outer layer of cables to reduce electromagnetic radiation and induction; and attaching conductive tape or absorbing materials to the gaps in the equipment casing to reduce electromagnetic leakage and reflection.

[0045] By implementing these suppression measures, changes in the amplitude of the interference signal can be observed. For example, when the amplitude of the interference signal decreases by more than 6 dB and the change remains stable and persists for more than a set time threshold, it can be confirmed that the interference path and source location are effective. A decrease of 6 dB is a significant indicator, showing that the suppression measures have a significant impact on the interference signal; while the stable and persistent change exceeding the set time threshold further ensures that this change is not accidental but stable.

[0046] Finally, based on the changing trends of the interference signal before and after the implementation of suppression measures, the interference path and source location are further confirmed. By comparing the changes in signal amplitude and stability before and after the suppression measures, it can be effectively determined whether the suppression measures have successfully weakened the interference signal, thereby confirming the specific location of the interference source. If the interference signal amplitude decreases significantly and the change remains stable, this indicates that the signal on the suspected interference path has indeed been effectively suppressed, thus confirming that the path is the location of the interference source. Through this verification process, the specific location of the interference source is finally confirmed, and accurate interference source localization results are obtained, providing clear guidance for subsequent interference handling and equipment optimization.

[0047] Furthermore, adaptive interference tracking analysis is performed according to the determined interference type to obtain the interference source location result. Step P40 in this embodiment of the application also includes: P41a: Perform time-domain correlation calculation between the interference signal corresponding to the data acquisition marker and the working trigger signal of the device under test; P42a: When the correlation coefficient exceeds a preset threshold, the working module corresponding to the trigger signal is selected as a candidate module for interference source; P43a: Perform a small disturbance on the carrier frequency or switching frequency of the candidate module, wherein the small disturbance is a disturbance that changes the carrier frequency or switching frequency by no more than ±5% of the rated value without affecting the normal operation of the device under test, and detect whether the peak value of the interference spectrum drifts linearly with the disturbance to confirm the interference source and obtain the interference source location result.

[0048] In one possible embodiment of this application, the location of the interference source can be further accurately determined by adaptive interference tracking analysis based on interference type, combined with time-domain correlation operations and small frequency perturbations.

[0049] First, a time-domain correlation operation is performed to compare the acquired interference signal with the trigger signal of the device under test (DUT). The trigger signal is a signal used to activate a specific function or module in the device, such as a switching signal or a pulse-width modulation (PWM) signal. By performing a time-domain correlation operation on the interference signal and the trigger signal, the correlation coefficient between them can be calculated. If the peak value of the interference signal is highly synchronized with the change in the trigger signal, it indicates that the interference may be a transient process triggered by that trigger signal, especially interference related to switching actions or signal processing in the device. This process can help quickly pinpoint the approximate location of the interference source, particularly when the interference source is triggered by a specific operating module of the device.

[0050] When the correlation coefficient exceeds a preset threshold, the operating module corresponding to the trigger signal can be considered a candidate module for interference. In other words, a strong correlation between the interference signal and the trigger signal of a specific operating module, along with a high degree of temporal synchronization between the trigger and interference signals, further confirms that the operating module is a potential interference source. For example, if the interference signal is highly correlated with the switching signal of the power supply module, the power supply module can be preliminarily identified as a candidate module for interference. Based on this, further analysis is conducted on the candidate module to confirm whether it is indeed an interference source.

[0051] Next, a minor perturbation is applied to the identified candidate modules to verify whether they are the true source of interference. A minor perturbation refers to a small adjustment to the carrier frequency or switching frequency of the candidate module without affecting normal equipment operation; for example, changing the carrier frequency or switching frequency by no more than ±5% of the rated value. This frequency adjustment does not affect the normal function and operation of the equipment, but it can change the spectral characteristics of the signal, thus helping to identify the interference source. By observing the spectral changes, especially whether the peak value of the interference signal drifts linearly with the frequency adjustment, the location of the interference source can be further confirmed. If the spectral peak value of the interference signal drifts linearly with the perturbation, it indicates that the interference signal is closely related to that frequency, confirming the module as the interference source. Conversely, if the spectral peak value does not change significantly, it may indicate that the module is not the interference source.

[0052] By implementing the above steps, interference sources within a device can be quickly and accurately located through precise signal analysis and verification of minute disturbances without disassembling the device. This process not only reduces the time required for interference source localization but also avoids complex disassembly or lengthy testing of the device, improving the efficiency and accuracy of interference source localization. Furthermore, it enables effective interference source localization in complex systems, especially when multiple potential interference sources exist, effectively separating the main interference module and significantly improving localization accuracy.

[0053] Furthermore, step P40 in this embodiment of the application also includes: P41b: Based on the data acquisition marker, the spatial orientation is narrowed down using the monitoring data distribution network collected by the monitoring sensor network to obtain a candidate range; P42b: Based on the candidate range, a near-field probe is used to perform a local scan along the device casing, cable, and interface path; P43b: The physical location of the interference source is determined based on the location of the maximum radiation intensity and the attenuation characteristics of the radiation signal with distance, and the interference source location result is obtained.

[0054] Specifically, in further implementation, this application can also achieve more precise interference source localization by combining auxiliary scanning technology with monitoring sensor networks and near-field probes. By combining these two technologies, the interference source can be spatially "shortened," and its physical location can be accurately pinpointed through changes in radiation intensity.

[0055] Specifically, the process begins by using data acquisition markers and the distribution of monitoring data collected by the monitoring sensor network to narrow down the spatial location. This means that within the entire monitoring area, based on the data from each monitoring node and the intensity of the interference signal, the potential range of the interference source is determined. By analyzing the interference signal data collected by each node in the monitoring sensor network, combined with data acquisition markers (such as timestamps, location numbers, and operating condition codes), the spatial distribution of the interference signal is determined. This method initially narrows down the possible location range of the interference source, thus obtaining a candidate range. This process effectively reduces the search space for subsequent positioning and improves positioning efficiency.

[0056] Next, based on the identified candidate range, a localized scan is performed using a near-field probe along the device housing, cable, and interface paths. A near-field probe is a highly sensitive electromagnetic field detection tool capable of accurately capturing radiated signals. By progressively scanning along the device housing, cable, and interface paths with the near-field probe, the intensity of the radiated signal at different locations can be precisely measured. These locations are often key points where interference signals may leak from inside or outside the device, especially at the interface between the device and the external environment. This localized scanning further identifies areas of high signal intensity, thereby pinpointing the location of the interference source.

[0057] Next, based on the location of the maximum radiation intensity and its attenuation characteristics with distance, the physical location of the interference source is further confirmed. Specifically, the radiation amplitude data recorded during the near-field probe scanning process is analyzed to find the location of the maximum radiation intensity. According to the attenuation law of electromagnetic radiation, the closer the radiation source, the stronger the signal; however, the signal intensity decreases according to a certain law as the distance increases. By analyzing the regularity of radiation intensity attenuation, the distance between the interference source and the detection point can be calculated, and the specific location of the interference source can be determined based on the attenuation characteristics. Typically, the field strength around the radiation source is significantly higher than at other locations; therefore, by recording the location of the maximum signal intensity and combining it with the attenuation law, the physical location of the interference source can be accurately determined.

[0058] The above steps enable more precise localization of interference sources. By coordinating the monitoring sensor network and near-field probes, not only can the potential range of interference sources be effectively narrowed down, but the location of the interference source can also be precisely pinpointed by observing the changing trends in radiation intensity. This process not only improves the accuracy of interference source localization but also enables the rapid location and isolation of interference sources in complex equipment, providing reliable data support for subsequent electromagnetic compatibility improvements.

[0059] In summary, the embodiments of this application have at least the following technical effects: This application, through real-time data acquisition and analysis of monitoring sensor networks, can quickly identify and accurately locate electromagnetic interference sources, significantly improving positioning accuracy and avoiding the limitations of traditional methods that require downtime or long-term testing. Combining technologies such as spectrum analysis, interference type determination, adaptive tracking analysis, perturbation frequency tracking, and near-field probe scanning, it can handle multiple interference sources in complex systems and accurately pinpoint their locations. Simultaneously, it improves electromagnetic compatibility testing efficiency, shortens the testing cycle, reduces manual operation burden, and enables interference source detection and location during normal equipment operation, enhancing the operability of the test.

[0060] It achieves the technical effect of efficient and accurate interference source localization by adaptively tracking and analyzing interference signal data in real time while the equipment is operating normally.

[0061] Example 2, based on the same inventive concept as the rapid EMC interference source localization method in the previous examples, such as... Figure 2 As shown, this application provides a rapid EMC interference source localization system. The system and method embodiments in this application are based on the same inventive concept. The system includes: The monitoring sensor network deployment module 11 is used to deploy a monitoring sensor network based on the electromagnetic interference signal transmission path and radiation path of the device under test.

[0062] The interference signal acquisition module 12 is used to connect to the monitoring sensor network and acquire interference signal data of the device under test in real time. The interference signal data includes data acquisition marker bits for identifying the acquisition time, location and device operating conditions.

[0063] The interference signal analysis module 13 is used to perform spectrum analysis and interference type determination on the collected interference signal data.

[0064] The adaptive interference tracking module 14 is used to perform adaptive interference tracking analysis based on the determined interference type, using the data acquisition marker as the positioning engine, to obtain the interference source positioning result.

[0065] Furthermore, the monitoring sensor network deployment module 11 is also used to perform the following steps: Based on historical interference monitoring samples and the electrical topology of the device under test, the electromagnetic interference signal propagation probability and radiation probability of each node in the topology are calculated. Based on the distribution of the conduction probability and radiation probability in the topology, combined with the device connection relationship, return path and structural layout, the possible conduction path and radiation path of the electromagnetic interference signal of the device under test are determined, including the probability distribution; Based on the probability distribution, the deployment of monitoring sensors is optimized to form a monitoring sensor network that maximizes coverage probability and spatial location accuracy while minimizing deployment costs. Specifically, monitoring nodes are placed near the power input, key signal interfaces, and adjacent locations on the device casing or cable exit to form a multi-point acquisition link covering different interference paths. The relative spacing between the monitoring nodes is set according to the interference propagation characteristics, ensuring that any interference signal can be captured in real time by at least one monitoring node within the shortest propagation path.

[0066] Furthermore, the monitoring sensor network deployment module 11 is also used to perform the following steps: Collect historical interference monitoring samples from previous EMC tests of the same model or similar equipment, including: interference signal waveform data, spectral characteristics, and test environment records; obtain the electrical topology diagram of the equipment under test, including the connection method and physical layout of the power module, signal processing module, drive module, and shell shielding structure; based on the association relationship between the historical interference monitoring samples and the nodes and connection paths in the electrical topology diagram, calculate the probability that each node in the topology becomes an interference source / interference path starting point, and the probability that the interference signal propagates outward by conduction or radiation, and obtain the conduction probability and radiation probability.

[0067] Furthermore, the interference signal analysis module 13 is also used to perform the following steps: The collected interference signal is subjected to a fast Fourier transform to obtain the harmonic amplitude spectrum of each frequency point; the interference frequency distribution characteristics are determined according to the harmonic amplitude spectrum, and the amplitude is compared with the preset electromagnetic compatibility limit; the interference is distinguished as common-mode interference or differential-mode interference according to the amplitude distribution and phase relationship.

[0068] Furthermore, the adaptive interference tracking module 14 is also used to perform the following steps: Based on the data acquisition markers, a preliminary orientation is obtained and combined with the interference type to locate the preliminary suspected path of the interference source; temporary suppression measures are applied to the preliminary suspected path of the interference source, and comparison signals before and after the measures are obtained; based on the changing trend of the comparison signals before and after the measures, the interference path and source location are confirmed, and the interference source location result is obtained.

[0069] Furthermore, the adaptive interference tracking module 14 is also used to perform the following steps: The interference signal corresponding to the data acquisition marker is correlated with the working trigger signal of the device under test in the time domain. When the correlation coefficient exceeds a preset threshold, the working module corresponding to the trigger signal is selected as a candidate module for interference source. The candidate module is subjected to a small disturbance of the carrier frequency or switching frequency. The small disturbance is a disturbance of the carrier frequency or switching frequency by no more than ±5% of the rated value without affecting the normal operation of the device under test. The peak value of the interference spectrum is detected to determine whether it drifts linearly with the disturbance in order to confirm the interference source and obtain the interference source location result.

[0070] Furthermore, the adaptive interference tracking module 14 is also used to perform the following steps: Based on the data acquisition marker, the spatial orientation is narrowed down using the monitoring data distribution network collected by the monitoring sensor network to obtain a candidate range; based on the candidate range, a near-field probe is used to perform a local scan along the device casing, cables, and interface paths; the physical location of the interference source is determined based on the location of the maximum radiation intensity and the attenuation characteristics of the radiation signal with distance, thus obtaining the interference source location result.

[0071] Example 3, Exemplary Electronic Device; The following is for reference. Figure 3 The following describes the electronic device 300 according to an embodiment of this application.

[0072] Based on the same inventive concept as the EMC interference source rapid localization method in the foregoing embodiments, this application also provides an EMC interference source rapid localization system, including: a processor 302, the processor 302 being coupled to a memory 301, the memory 301 being used to store a program, and when the program is executed by the processor 302, the system performs the steps of the method described in Embodiment 1.

[0073] The electronic device 300 includes a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, processor 302, and memory 301 can be interconnected via the bus architecture 304; the bus architecture 304 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus architecture 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0074] Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits used to control the execution of programs according to the present application.

[0075] Communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), wired access network, etc.

[0076] Memory 301 may be ROM or other types of static storage devices capable of storing static information and instructions, RAM or other types of dynamic storage devices capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact discread-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory 301 may exist independently or be connected to processor 302 via bus architecture 304. Memory 301 may also be integrated with processor 302.

[0077] The memory 301 stores computer execution instructions for implementing the scheme of this application, and the processor 302 controls the execution. The processor 302 executes the computer execution instructions stored in the memory 301, thereby realizing the rapid EMC interference source localization method provided in the above embodiments of this application.

[0078] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0079] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0080] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application intends to include such modifications and variations.

Claims

1. A method for rapid localization of EMC interference sources, characterized in that, include: Based on the electromagnetic interference signal transmission and radiation paths of the device under test, a monitoring sensor network is deployed. The monitoring sensor network is connected to collect interference signal data of the device under test in real time. The interference signal data includes data acquisition marker bits for identifying the acquisition time, location and device operating condition. Perform spectrum analysis and determine the type of interference on the collected interference signal data; Using the data acquisition marker as the positioning engine, adaptive interference tracking analysis is performed according to the determined interference type to obtain the interference source positioning result.

2. The method for rapid localization of EMC interference sources according to claim 1, characterized in that, The obtained interference source location results include: Based on the data acquisition markers, a preliminary location is obtained and, combined with the interference type, the suspected path of the preliminary interference source is located. Temporary suppression measures are applied along the suspected path of the initial interference source, and comparison signals before and after the measures are obtained; Based on the signal change trend before and after the measures, the interference path and source location are confirmed, and the interference source location result is obtained.

3. The method for rapid localization of EMC interference sources according to claim 1, characterized in that, Deploying a monitoring sensor network includes: Based on historical interference monitoring samples and the electrical topology of the device under test, the electromagnetic interference signal propagation probability and radiation probability of each node in the topology are calculated. Based on the distribution of the conduction probability and radiation probability in the topology, combined with the device connection relationship, return path and structural layout, the possible conduction path and radiation path of the electromagnetic interference signal of the device under test are determined, including the probability distribution; Based on the probability distribution, the deployment of monitoring sensor devices is optimized, and the monitoring sensor network is deployed. The monitoring sensor network satisfies the maximization of coverage probability and positioning spatial location, and minimizes deployment cost while satisfying the coverage probability and positioning spatial accuracy conditions.

4. The method for rapid localization of EMC interference sources according to claim 3, characterized in that, The monitoring sensor network sets up monitoring nodes at the power input end, key signal interface, and spatial proximity of the equipment casing or cable outlet to form a multi-point acquisition link covering different interference paths. The relative positional interval between the monitoring nodes is set according to the interference propagation characteristics, so that any interference signal can be captured in real time by at least one monitoring node within the shortest propagation path.

5. The method for rapid localization of EMC interference sources according to claim 3, characterized in that, Based on historical interference monitoring samples and the electrical topology of the device under test, the electromagnetic interference signal propagation probability and radiation probability of each node in the topology are calculated, including: Collect historical interference monitoring samples of the same model or similar equipment in previous EMC tests, including: interference signal waveform data, spectrum characteristics, and test environment records; Obtain the electrical topology diagram of the device under test, including the connection methods and physical layout of the power module, signal processing module, drive module, and housing shielding structure; Based on the correlation between the historical interference monitoring samples and the nodes and connection paths in the electrical topology diagram, the probability that each node in the topology becomes an interference source / interference path starting point, and the probability that the interference signal propagates outward by conduction or radiation, are calculated to obtain the conduction probability and radiation probability.

6. The method for rapid localization of EMC interference sources according to claim 1, characterized in that, The collected interference signal data is subjected to spectrum analysis and interference type determination, including: The collected interference signals are subjected to fast Fourier transform to obtain the harmonic amplitude spectrum at each frequency point; The characteristics of the interference frequency distribution are determined based on the harmonic amplitude spectrum, and the amplitude is compared with the preset electromagnetic compatibility limit. Interference can be classified into common-mode interference or differential-mode interference based on amplitude distribution and phase relationship.

7. The method for rapid localization of EMC interference sources according to claim 6, characterized in that, Using the data acquisition marker bits as the positioning engine, adaptive interference tracking analysis is performed according to the determined interference type to obtain the interference source positioning result, including: Perform time-domain correlation calculation between the interference signal corresponding to the data acquisition marker and the working trigger signal of the device under test; When the correlation coefficient exceeds the preset threshold, the working module corresponding to the trigger signal is regarded as a candidate module for interference source. The candidate module is subjected to a minor disturbance in its carrier frequency or switching frequency. The minor disturbance is a disturbance in which the carrier frequency or switching frequency is changed by no more than ±5% of the rated value without affecting the normal operation of the device under test. The peak value of the interference spectrum is detected to determine whether it drifts linearly with the disturbance, so as to identify the interference source and obtain the interference source location result.

8. The method for rapid localization of EMC interference sources according to claim 6, characterized in that, Obtain the location results of the interference source, including: Based on the data acquisition markers, the spatial orientation is narrowed down using the monitoring data distribution network collected by the monitoring sensor network to obtain the candidate range; Based on the candidate range, a local scan is performed along the device casing, cables, and interface paths using a near-field probe; The physical location of the interference source is determined based on the location of the maximum radiation intensity and the attenuation characteristics of the radiation signal with distance, thus obtaining the interference source location result.

9. A rapid positioning system for EMC interference sources, characterized in that, The system includes: The monitoring sensor network deployment module (11) is used to deploy a monitoring sensor network based on the electromagnetic interference signal transmission path and radiation path of the device under test. Interference signal acquisition module (12) is used to connect to the monitoring sensor network and acquire interference signal data of the device under test in real time. The interference signal data includes data acquisition marker bits for identifying the acquisition time, location and device operating conditions. The interference signal analysis module (13) is used to perform spectrum analysis and interference type determination on the collected interference signal data; The adaptive interference tracking module (14) is used to perform adaptive interference tracking analysis according to the determined interference type, using the data acquisition marker as the positioning engine, to obtain the interference source positioning result.

10. An electronic device, characterized in that, include: A processor (302) coupled to a memory (301) for storing a program that, when executed by the processor (302), causes the system to perform the steps of the method as claimed in any one of claims 1 to 8.

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