Method, system and device for fast locating of emc disturbance sources

Abstract

The application discloses an EMC interference source rapid positioning method, system and equipment, and relates to the electrical measurement technical field.The method comprises the following steps: based on the electromagnetic interference signal conduction path and the radiation path of the measured equipment, a monitoring sensor network is laid out; the monitoring sensor network is connected, and interference signal data of the measured equipment is collected in real time; the collected interference signal data is subjected to frequency spectrum analysis and interference type determination; the data collection mark bit is used as a positioning engine, adaptive interference tracking analysis is carried out according to the determined interference type, and interference source positioning results are obtained.The application solves the technical problems that the existing electromagnetic interference source positioning method cannot position the interference source in real time when the equipment is normally operated, and the positioning efficiency is low and the accuracy is poor, and achieves the technical effect that adaptive tracking analysis is carried out through real-time collection of interference signal data, and efficient and accurate interference source positioning is realized under the normal operation state of the equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electrical measurement, in particular to an EMC interference source rapid positioning method, system and device. BACKGROUND

[0002] In modern electronic devices, electromagnetic interference (EMI) has become an important factor affecting the performance and stability of the device. Electromagnetic interference not only affects the normal operation of the device, but also can have adverse effects on other devices in the surrounding environment, and even cause device failure. With the increasing complexity of device functions, traditional electromagnetic compatibility (EMC) testing methods face problems such as low precision, poor efficiency, and complex operation, especially in complex systems, multiple interference sources may exist at the same time, further increasing the difficulty of locating the interference source.

[0003] Currently, most interference source positioning methods rely on manual detection and traditional test instruments, usually requiring device downtime or disassembly, and have slow positioning speed and poor accuracy. In addition, the existing methods have weak real-time monitoring capability for interference signals, and it is difficult to identify and accurately locate the interference source in real time during the normal operation of the device. SUMMARY

[0004] The present application provides an EMC interference source rapid positioning method, system and device, which solves the technical problems that the existing electromagnetic interference source positioning method cannot locate the interference source in real time when the device is running normally, and has low positioning efficiency and poor accuracy.

[0005] In a first aspect of the present application, an EMC interference source rapid positioning method is provided, the method comprising: based on the electromagnetic interference signal conduction path and the radiation path of the device under test, laying out a monitoring sensor network; connecting the monitoring sensor network to collect interference signal data of the device under test in real time, wherein the interference signal data contains data collection marker bits for identifying collection time, position and device working condition; performing frequency spectrum analysis and interference type determination on the collected interference signal data; using the data collection marker bits as a positioning engine, respectively performing adaptive interference tracking analysis according to the determined interference type to obtain interference source positioning results.

[0006] In a second aspect of the present application, an EMC interference source rapid positioning system is provided, comprising: a monitoring sensor network deployment module configured to deploy a monitoring sensor network based on electromagnetic interference signal conduction paths and radiation paths of a device under test; an interference signal acquisition module configured to connect the monitoring sensor network and acquire interference signal data of the device under test in real time, wherein the interference signal data comprises data acquisition marker bits for identifying acquisition time, position and device working condition; an interference signal analysis module configured to perform frequency spectrum analysis and interference type determination on the acquired interference signal data; and an adaptive interference tracking module configured to use the data acquisition marker bits as a positioning engine and perform adaptive interference tracking analysis according to the determined interference type to obtain an interference source positioning result.

[0007] In a third aspect of the present application, an electronic device is provided, comprising: a processor coupled with a memory, the memory being configured to store a program, when the program is executed by the processor, the system is caused to perform the method of any one of the first aspect.

[0008] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] The EMC interference source rapid positioning method, system and device provided in the present application relate to electrical measurement technology, and through deployment of a monitoring sensor network, real-time acquisition of interference signal data, combination of frequency spectrum analysis, interference type determination and adaptive tracking analysis, use of data acquisition marker bits to identify space-time relationship, and auxiliary perturbation frequency tracking and near-field probe scanning, the interference source position can be quickly locked in the normal operation state of the device, efficient and accurate interference source positioning is achieved, and the technical problems of low positioning efficiency and poor accuracy of the existing electromagnetic interference source positioning method cannot realize real-time positioning of the interference source in the normal operation state of the device are solved, the technical effect of realizing efficient and accurate interference source positioning in the normal operation state of the device through real-time acquisition of interference signal data and adaptive tracking analysis is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0011] Figure 1 The EMC interference source rapid positioning method flowchart provided in the embodiment of the present application;

[0012] Figure 2 The EMC interference source rapid positioning system structure diagram provided in the embodiment of the present application;

[0013] Figure 3 A structural schematic diagram of an electronic device is provided for the present application.

[0014] Label explanation: monitoring sensor network deployment module 11, interference signal collection module 12, interference signal analysis module 13, adaptive interference tracking module 14, electronic device 300, memory 301, processor 302, communication interface 303, bus architecture 304. DETAILED DESCRIPTION

[0015] The present application provides an EMC interference source rapid positioning method, system and device, which is used to solve the technical problems that the existing electromagnetic interference source positioning method cannot position the interference source in real time when the device is normally running, and the positioning efficiency is low and the precision is poor.

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0017] It should be noted that the terms "first", "second" and the like in the specification and the above drawings of the present application are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices.

[0018] Embodiment one, as shown in the present application, provides an EMC interference source rapid positioning method, which comprises: Figure 1

[0019] P10: based on the electromagnetic interference signal transmission path and the radiation path of the device under test, a monitoring sensor network is deployed.

[0020] Further, the step P10 of the present application embodiment further comprises:

[0021] ​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: according to the distribution of the conduction probability and the radiation probability in the topology, combined with the device connection relationship, the backflow path and the structure layout, determine the possible conduction path and radiation path of the electromagnetic interference signal of the device under test, including the probability distribution; P13: according to the probability distribution, optimize the monitoring sensor device layout, and lay out the monitoring sensor network, which meets the maximum coverage probability and positioning spatial position, and the minimum layout cost under the condition of meeting the coverage probability and positioning spatial accuracy.

[0022] Among them, the monitoring sensor network sets monitoring nodes at the spatial adjacent positions of the power input end, the key signal interface, and the device shell or cable outlet, respectively, to form multi-point acquisition links covering different interference paths. The relative position interval between the monitoring nodes is set according to the interference propagation characteristics, so that any interference signal can be captured by at least one monitoring node in the shortest propagation path.

[0023] It should be understood that the monitoring sensor network is laid out based on the electromagnetic interference signal conduction path and radiation path of the device under test. First, based on historical interference monitoring samples and the electrical topology of the device under test, by calculating the electromagnetic interference signal conduction probability and radiation probability of each node in the device, the propagation characteristics of the interference signal in the device system can be determined. The electrical topology includes the connection mode between each component and circuit in the device, and the historical interference samples provide data support for the propagation behavior of different interference signals. On this basis, combined with the analysis of the signal conduction probability and radiation probability of each node based on historical sample data, the conduction probability refers to the possibility of interference signal propagation from one node to another node through transmission medium such as wire; and the radiation probability refers to the possibility of interference signal propagation from one node to another node through spatial electromagnetic field. Through this analysis, it can be determined which positions and nodes in the device are most likely to become interference sources, and the potential path of interference signal propagation can be determined.

[0024] Then, combined with the analysis results of conduction probability and radiation probability, by considering the structural layout and electrical connection relationship of the equipment, the specific conduction path and radiation path of electromagnetic interference signals are further determined. The backflow path, connection relationship and physical structure layout inside the equipment have a crucial influence on the propagation path of signals. For example, the power input end, key signal interface, shell and cable outlet and other positions are usually high-risk areas of interference signals, and interference signals may spread to the external environment through these areas. Therefore, through in-depth analysis of the conduction and radiation path, combined with the electrical design and physical structure of the equipment, the propagation path of the interference signal and its possible influence range can be predicted. At this time, according to the propagation characteristics of electromagnetic interference, it can be determined which path needs to be monitored, and more monitoring sensors should be arranged on the path with high conduction probability to ensure effective capture of interference signals; while in the area with low radiation probability, the number of sensors can be appropriately reduced, so as to reduce the layout cost while ensuring the monitoring effect.

[0025] Then, according to the probability distribution of the interference signal propagation path, further optimization of the monitoring sensor network layout is carried out. Through optimization algorithm, the layout position and number of sensors are determined to maximize the interference signal coverage range and positioning accuracy while minimizing the layout cost. Specifically, the optimization algorithm needs to balance the following aspects: on the one hand, the coverage probability of the monitoring network needs to be ensured to ensure that the sensors can cover all possible propagation paths of the equipment interference signals; on the other hand, the spatial accuracy of positioning needs to be ensured to provide sufficient spatial resolution for the sensor layout position, so as to realize accurate interference source positioning. In this process, the layout of the sensors should be preferred to the key node positions of the equipment, such as the power input end, key signal interface, shell and cable outlet, etc., which are often the source of interference signal propagation. In addition, the relative position interval between monitoring nodes needs to be reasonably set according to the propagation characteristics of the interference signal to ensure that the signal can be captured by at least one monitoring node in real time within the shortest propagation path.

[0026] In the specific implementation process, the monitoring sensor network is arranged at the spatially adjacent positions of the power input end, key signal interface, and equipment shell or cable outlet to form a multi-point acquisition link covering different interference paths. The selection of these positions is based on the propagation characteristics of electromagnetic interference signals. The power input end and key signal interface are usually the main conduction path of electromagnetic interference signals, while the equipment shell or cable outlet is an important area of the radiation path. By arranging monitoring nodes at these key positions, interference signals on different paths can be effectively captured. The relative position interval between monitoring nodes is set according to the interference propagation characteristics, so that any interference signal can be captured by at least one monitoring node in real time within the shortest propagation path. This layout method not only improves the efficiency of monitoring, but also ensures the comprehensiveness and accuracy of monitoring.

[0027] Further, the embodiment step P11 of the present application further comprises:

[0028] P11-1: Collect historical interference monitoring samples of the same model or similar devices in previous EMC tests, including: interference signal waveform data, spectral characteristics, test environment records; P11-2: Obtain the electrical topology diagram of the device under test, including the connection mode and physical layout of the power module, signal processing module, drive module, and shell shielding structure; P11-3: According to the association relationship between the historical interference monitoring samples and the nodes and connection paths in the electrical topology diagram, calculate the probability of each node becoming a source of interference / path starting point, and the probability of interference signals propagating outward in a conductive or radiative manner, to obtain the conduction probability and radiation probability.

[0029] 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.

[0030] First, historical interference monitoring samples of the same model or similar devices in previous electromagnetic compatibility (EMC) tests need to be collected. These samples should include waveform data of interference signals, spectral characteristics, and test environment records. Waveform data can reflect the time-domain characteristics of interference signals, such as amplitude, duration, etc.; spectral characteristics reveal the frequency distribution of interference signals, which helps to identify the type of interference source; test environment records provide the background conditions for the generation of interference signals, such as the working state of the device, the electromagnetic environment of the test site, etc. These historical data provide important reference for subsequent probability calculation.

[0031] Next, the electrical topology diagram of the device under test is obtained, which details the connection mode and physical layout between the internal modules of the device. Specifically, it includes key parts such as power modules, signal processing modules, drive modules, and shell shielding structures. By analyzing the electrical topology diagram, the connection relationship between nodes and the transmission path of signals within the device can be determined. This is crucial for understanding the possible propagation path of electromagnetic interference signals, as interference signals usually conduct along electrical connection paths or propagate through space radiation.

[0032] Next, based on the collected historical interference monitoring samples and the electrical topology diagram, further analysis and calculation are performed in combination with the association relationship of each node and connection path in the topology structure. Specifically, by analyzing the waveform data and spectral characteristics of the interference signal in the historical samples, in combination with the association relationship of the nodes and connection paths in the electrical topology diagram, the possibility of each node becoming an interference source under certain conditions can be determined. For example, if a certain node appears multiple times in historical samples with high-frequency interference signals, and the node is located near the power module, it can be inferred that the probability of the node becoming an interference source is high. At the same time, according to the propagation characteristics of the interference signal (such as conduction loss, radiation intensity, etc.), the probability of the interference signal propagating outward from the node is calculated. The conduction probability refers to the probability of the interference signal propagating to other nodes through the connection path such as the wire; the radiation probability refers to the probability of the interference signal propagating to other nodes or the external environment through the space electromagnetic field. Through these calculations, the conduction probability and radiation probability of each node are finally obtained. These probability data provide an important basis for the subsequent steps, making the layout of the monitoring sensor network more scientific, reasonable and targeted. By optimizing the layout of the monitoring sensor network, the monitoring efficiency of electromagnetic interference signals and the positioning accuracy of interference sources can be effectively improved, while the layout cost is reduced.

[0033] P20: Connect the monitoring sensor network to real-time collect interference signal data of the measured device, wherein the interference signal data contains data collection marker bits for identifying collection time, location and device working condition.

[0034] Specifically, the monitoring sensor network is connected, and the interference signal data of the measured device is collected in real time. In order to ensure the effectiveness of the data and the accuracy of the subsequent analysis, the collected interference signal data contains data collection marker bits for identifying collection time, location and device working condition. The setting of these marker bits can be used to locate the space-time relationship, providing strong support for subsequent interference signal analysis and interference source positioning.

[0035] Specifically, the monitoring sensor network needs to be connected with the measured device first. The monitoring sensor network is composed of multiple monitoring nodes, which are distributed in key positions of the measured device, such as power input end, key signal interface, device shell or cable outlet, etc. The selection of these positions is based on the conduction path and radiation path of electromagnetic interference signals, ensuring that interference signals on different paths can be captured comprehensively. After the connection is completed, the monitoring sensor network starts to collect the interference signal data of the measured device in real time.

[0036] The collected interference signal data not only includes the basic characteristics of the signal such as amplitude, frequency, etc., but also contains data collection marker bits for identifying the collection time, location and equipment working condition. The specific form of these marker bits can be a combination of time stamp, location number, working condition code, etc. The time stamp is used to record the specific time point when the interference signal is collected, which is crucial for analyzing the timing characteristics of the interference signal; the location number identifies the specific location of the monitoring node that collects the signal, which helps to determine the spatial distribution of the interference signal; the working condition code reflects the running state of the measured equipment at the collection time, such as whether the equipment is in the state of starting, running or standby, etc. The combination of these information can provide rich context information for subsequent interference signal analysis.

[0037] For example, when a certain monitoring node records a high-frequency interference signal at a specific time stamp, the collection location of the signal can be quickly located through the location number, and it can be judged whether the interference signal is related to a certain specific running state of the equipment by combining the working condition code. The identification of this space-time relationship provides great convenience for subsequent interference signal analysis and interference source positioning. Through these data collection marker bits, interference signals related to specific time, location or equipment working condition can be quickly screened out, thereby improving the efficiency and accuracy of interference source positioning.

[0038] In addition, these data collection marker bits can also be used for subsequent interference signal tracking and analysis. For example, when performing spectrum analysis, interference signals in a specific time period or in a specific area can be screened out according to the time stamp and location number, so as to more accurately analyze the frequency characteristics of the interference signal. When performing interference source positioning, the possible range of the interference source can be quickly narrowed by combining the location number and the working condition code, thereby improving the accuracy of positioning.

[0039] P30: performing spectrum analysis and interference type determination on the collected interference signal data.

[0040] Further, the step P30 of the embodiments of the present application further includes:

[0041] P31: performing fast Fourier transform on the collected interference signal to obtain the harmonic amplitude spectrum of each frequency point; P32: determining the interference frequency distribution characteristics according to the harmonic amplitude spectrum, and comparing the amplitude with the preset electromagnetic compatibility limit value; P33: distinguishing the interference as common mode interference or differential mode interference according to the amplitude distribution and phase relationship.

[0042] It should be understood that the spectrum analysis is performed on the collected interference signal data, and the type of interference is determined according to the analysis result, which helps to identify the frequency characteristics of the interference signal, judge whether it exceeds the limit value of electromagnetic compatibility standard, and further distinguish the type of interference according to the amplitude and phase characteristics of the signal.

[0043] Firstly, the collected interference signal is subjected to fast Fourier transform (FFT) to obtain the harmonic amplitude spectrum at each frequency point. Fast Fourier transform is a high-efficiency algorithm that can convert time-domain signals into frequency-domain signals, thereby revealing the frequency components of the signals. Through FFT processing, the amplitude distribution of the interference signal at different frequency points can be obtained to form a harmonic amplitude spectrum. This amplitude spectrum provides basic data for subsequent interference type determination. For example, high amplitude at certain specific frequencies may indicate a specific type of interference source, such as high-frequency switching noise of a switching power supply or electromagnetic radiation of a motor.

[0044] Next, the interference frequency distribution characteristics are determined based on the harmonic amplitude spectrum, and the amplitude is compared with the preset electromagnetic compatibility limit value. In practical applications, different electromagnetic interference sources usually have different frequency distribution characteristics. By analyzing the harmonic amplitude spectrum, the main frequency components and their distribution rules of the interference signal can be identified. For example, if the amplitude spectrum shows a clear peak in a certain frequency range, it may indicate that the interference in that frequency range is more significant. In addition, comparing the amplitude with the preset electromagnetic compatibility limit value can determine whether the interference signal exceeds the allowed range specified by the standard. The electromagnetic compatibility limit value is set according to international or domestic standards to ensure that the device operates normally in the electromagnetic environment without causing interference to other devices. If the amplitude exceeds the limit value, it indicates that the interference signal may pose a threat to the normal operation of the device and needs to be further processed.

[0045] Finally, the type of interference signal is distinguished based on the amplitude distribution and phase relationship in the spectrum analysis result. Electromagnetic interference signals can be generally divided into common-mode interference and differential-mode interference. Common-mode interference refers to the simultaneous propagation of signals in the same direction between the signal line and the ground, usually occurring at the power input end or the ground part; while differential-mode interference refers to the propagation of signals 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 determined, thereby determining whether it is common-mode interference or differential-mode interference. Specifically, if the phase relationship of the signals indicates that there is a reverse-propagating current between the two lines, it indicates that the interference is differential-mode interference; if the phases are consistent, it is common-mode interference.

[0046] Through spectrum analysis and interference type determination, the characteristics of the interference signal can be accurately identified to determine whether it meets the electromagnetic compatibility standard, and further measures can be taken according to the type of the signal, which can provide technical support for subsequent electromagnetic interference source positioning and optimization.

[0047] P40: The data collection marker bit is used as a positioning engine to perform adaptive interference tracking analysis according to the determined interference type to obtain interference source positioning results.

[0048] Further, the step P40 of the embodiment of the present application further comprises:

[0049] P41: based on the data collection marker, a preliminary orientation is obtained, and a preliminary suspected path of the interference source is located in combination with the interference type; P42: temporary suppression measures are applied on the preliminary suspected path of the interference source, and a comparison signal before and after the measures is obtained; P43: according to the change trend of the comparison signal before and after the measures, the interference path and the source position are confirmed, and the positioning result of the interference source is obtained.

[0050] Optionally, by using the data collection marker as a positioning engine, adaptive interference tracking analysis is performed according to the determined interference type, so as to obtain the accurate positioning result of the interference source.

[0051] Firstly, based on the aforementioned collected data marker, a preliminary orientation of the device is obtained, and a preliminary suspected path of the interference source is determined in combination with the determination result of the interference type. The data collection marker includes information such as time, position, and working condition, which can help to construct the interference propagation model inside and outside the device. On this basis, by performing time and space correlation on the interference signals of each node, in combination with the type characteristics (such as common-mode interference or differential-mode interference) of the interference signals, the possible propagation path of the interference source can be preliminarily determined. This preliminary suspected path is the basis for the positioning of the interference source, and provides a direction for subsequent analysis and verification. For example, if it is determined that it is common-mode interference, and the position number of a certain monitoring node points to the vicinity of the power input end of the device, then it can be preliminarily suspected that the interference source is located on the conduction path of the power module or its vicinity.

[0052] Next, temporary suppression measures are applied on the preliminary suspected path of the interference source, and a comparison signal before and after the measures is obtained. In order to verify the accuracy of the preliminary positioning, temporary suppression measures need to be taken on the suspected interference path, and the change of the interference signal needs to be observed. These suppression measures include but are not limited to the following: temporarily loading a common-mode choke or a ferrite magnetic ring on the suspected interference path to suppress the common-mode interference signal; adding a conductive shielding layer or a shielding patch to the outer layer of the cable to reduce electromagnetic radiation and induction; attaching a conductive tape or a wave-absorbing material to the gap of the device shell to reduce electromagnetic leakage and reflection.

[0053] By implementing these suppression measures, the change of the interference signal amplitude can be observed. For example, when the interference signal amplitude decreases by more than 6 dB and the change is stable and lasts for more than a set time threshold, it can be confirmed that the interference path and the source position are effective. A decrease of 6 dB is a significant indicator, indicating that the suppression measures have a significant impact on the interference signal; and the change that lasts for more than a set time threshold further ensures that the change is not accidental, but stable.

[0054] Finally, according to the change trend of the interference signal before and after the implementation of the suppression measure, the interference path and the source position are further confirmed. By comparing the amplitude and stability changes of the signal before and after the suppression measure, it can be effectively judged whether the suppression measure has successfully weakened the interference signal, and then the specific position of the interference source is confirmed. If the amplitude of the interference signal is significantly reduced and the change is stable and continuous, it indicates that the signal on the suspected interference path has been effectively suppressed, so that the position of the interference source can be determined. Through this verification process, the specific position of the interference source is finally confirmed and the accurate interference source positioning result is obtained, which can provide clear guidance for subsequent interference processing and equipment optimization.

[0055] Further, according to the determined interference type, adaptive interference tracking analysis is performed to obtain the interference source positioning result. The step P40 of the embodiment of the present application further includes:

[0056] P41a: performing time domain correlation operation on the interference signal corresponding to the data acquisition mark bit 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 taken as a candidate module of the interference source; P43a: performing a slight disturbance on the carrier frequency or the switching frequency of the candidate module, wherein the slight disturbance is a disturbance that changes the carrier frequency or the switching frequency by no more than ±5% of the rated value without affecting the normal operation of the device under test, and whether the interference frequency spectrum peak value linearly drifts with the disturbance is detected to confirm the interference source and obtain the interference source positioning result.

[0057] In a possible embodiment of the present application, the present application can further accurately determine the position of the interference source through adaptive interference tracking analysis based on the interference type, combined with time domain correlation operation and slight frequency disturbance method.

[0058] Firstly, time domain correlation operation is implemented to compare the collected interference signal with the working trigger signal of the device under test. The trigger signal is a signal used to start a specific function or module in the device, such as a switching signal or a pulse width modulation (PWM) signal. By performing 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 has high synchronicity with the change of the trigger signal, it indicates that the interference may be caused by the transient process of the trigger signal, especially the interference related to the switching action or signal processing in the device. This process can help to quickly lock the approximate position of the interference source, especially when the interference source is triggered by a specific working module of the device.

[0059] When the correlation coefficient exceeds the preset threshold, the working module corresponding to the trigger signal can be taken as a candidate module of the interference source. That is, the strong correlation of the interference signal matches the trigger signal of a specific working module, and the high synchronization in time between the trigger signal and the interference signal further confirms that the working module is a potential interference source. For example, if the interference signal is highly correlated with the switching signal of the power module, it can be preliminarily determined that the power module is a candidate module of the interference source. On this basis, further analysis is performed on the candidate module to confirm whether it is indeed the interference source.

[0060] Next, a slight perturbation is performed on the determined candidate module to verify whether it is a real interference source. The slight perturbation refers to a small range adjustment of the carrier frequency or the switching frequency of the candidate module without affecting the normal operation of the device, for example, changing the carrier frequency or the switching frequency by no more than ±5% of the rated value. Such frequency adjustment does not affect the normal function and operation of the device, but can change the spectral characteristics of the signal, thereby helping to identify the interference source. By observing the spectral changes, especially whether the peak value of the interference signal linearly drifts with the frequency adjustment, the position of the interference source can be further confirmed. If the spectral peak value of the interference signal linearly drifts with the perturbation, it indicates that the interference signal is closely related to the frequency, confirming the position of the module as the interference source. On the contrary, if the spectral peak value does not change significantly, it may indicate that the module is not the interference source.

[0061] Through the implementation of the above steps, the interference source in the device can be quickly and accurately locked without disassembling the device, through precise signal analysis and slight perturbation verification. This process not only reduces the time for locating the interference source, but also avoids complex disassembly or long-term testing of the device, improving the efficiency and accuracy of locating the interference source. At the same time, the location of the interference source can be effectively performed in a complex system, especially in the presence of multiple possible interference sources, which can effectively separate the main interference module, greatly improving the positioning accuracy.

[0062] Further, the step P40 of the embodiment of the present application further includes:

[0063] P41b: according to the data acquisition mark bit, using the monitoring data distribution network of the monitoring sensor network to perform spatial orientation circle narrowing to obtain a candidate range; P42b: based on the candidate range, using a near-field probe to perform local scanning along the device shell, cable, and interface path; P43b: determining the physical position of the interference source according to the maximum value position of the radiation intensity and the attenuation characteristics of the radiation signal with distance to obtain the interference source positioning result.

[0064] Specifically, in further implementation, the application can also achieve more accurate interference source positioning by combining the monitoring sensor network and the auxiliary scanning technology of the near-field probe. Through the combination of these two technical means, the interference source can be subjected to a spatial "shrinkage" operation, and the physical location of the interference source can be accurately locked through the change of radiation intensity.

[0065] Specifically, first, the spatial orientation shrinkage is performed using the monitoring data distribution collected by the data acquisition marker and the monitoring sensor network, that is, in the entire monitoring area, the possible interference source range is determined according to the data of each monitoring node and the intensity of the interference signal. By analyzing the interference signal data collected by each node in the monitoring sensor network, combined with the data acquisition marker (such as time stamp, position number, working condition code, etc.), the distribution of the interference signal in space is determined. In this way, the possible location range of the interference source can be initially narrowed down, so as to obtain a candidate range. This process can effectively reduce the search space of subsequent positioning and improve the positioning efficiency.

[0066] Next, based on the determined candidate range, a local scan is performed along the device shell, cable and interface path using the near-field probe. The near-field probe is a high-sensitivity electromagnetic field detection tool that can accurately capture the radiation signal. By gradually scanning the near-field probe along the shell, cable and interface path of the device, the radiation signal intensity at different positions can be accurately measured. These positions are usually key points where the interference signal may leak from the inside or outside of the device, especially at the interface between the device and the external environment. Through this local scan, the area with higher signal intensity can be further determined, so as to lock the radiation source position of the interference source.

[0067] Next, according to the position 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 scanning process of the near-field probe is analyzed to find the position of the maximum radiation intensity. According to the attenuation law of electromagnetic radiation, the closer the radiation source, the greater the signal intensity, and as the distance increases, the signal intensity will decay according to a certain law. Through regular analysis of the radiation intensity decay, the distance between the interference source and the detection point can be calculated, and the specific location of the interference source can be determined according to the attenuation characteristics. Generally, the field strength around the radiation source will be significantly higher than other positions, therefore, by recording the position of the maximum signal intensity and combining the decay law, the physical location of the interference source can be accurately determined.

[0068] Through the above steps, the accurate positioning of the interference source can be further realized. By monitoring the cooperative work of the sensing network and the near-field probe, not only can the possible range of the interference source be effectively narrowed down, but also the position of the interference source can be accurately locked through the change trend of the radiation intensity. This process not only improves the positioning accuracy of the interference source, but also quickly locates and isolates the interference source in a complex device, providing reliable data support for subsequent electromagnetic compatibility improvement.

[0069] In summary, the embodiments of the present application have at least the following technical effects:

[0070] By monitoring the real-time data collection and analysis of the sensing network, the present application can quickly identify and accurately locate the electromagnetic interference source, significantly improve the positioning accuracy, and avoid the limitations of traditional methods that require downtime or long-term testing. Combined with spectrum analysis, interference type determination, adaptive tracking analysis, micro-disturbance frequency tracking, and near-field probe scanning technologies, the present application can handle multiple interference sources in complex systems and accurately lock the position of the interference source. At the same time, the electromagnetic compatibility test efficiency is improved, the test cycle is shortened, the manual operation burden is reduced, and the interference source detection and positioning can be performed under normal device operation state, enhancing the operability of the test.

[0071] The technical effect of realizing efficient and accurate interference source positioning under normal device operation state through real-time collection of interference signal data and adaptive tracking analysis is achieved.

[0072] Embodiment two, based on the same inventive concept as the EMC interference source rapid positioning method in the preceding embodiments, as shown in Figure 2 The present application provides an EMC interference source rapid positioning system, and the system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0073] The monitoring sensing network deployment module 11 is used to deploy a monitoring sensing network based on the electromagnetic interference signal conduction path and radiation path of the device under test.

[0074] The interference signal collection module 12 is used to connect the monitoring sensing network and collect interference signal data of the device under test in real time, wherein the interference signal data includes data collection marker bits for identifying collection time, position, and device working condition.

[0075] The interference signal analysis module 13 is used to perform spectrum analysis and interference type determination on the collected interference signal data.

[0076] The adaptive interference tracking module 14 is used to take the data collection marker bits as a positioning engine and perform adaptive interference tracking analysis according to the determined interference type to obtain an interference source positioning result.

[0077] Further, the monitoring sensor network layout module 11 is further configured to perform the following steps:

[0078] Based on the historical interference monitoring samples and the electrical topology of the device under test, the electromagnetic interference signal conduction probability and radiation probability of each node in the topology are calculated.

[0079] According to the distribution of the conduction probability and the radiation probability in the topology, combined with the device connection relationship, the backflow path and the structure layout, the possible conduction path and radiation path of the electromagnetic interference signal of the device under test are determined, including the probability distribution.

[0080] According to the probability distribution, the monitoring sensor device layout optimization is performed, and the monitoring sensor network is laid out, which satisfies the maximum coverage probability and positioning spatial position, and the minimum layout cost under the condition of satisfying the coverage probability and positioning spatial accuracy. The monitoring sensor network is arranged at the spatial adjacent position of the power input end, the key signal interface, and the device shell or cable outlet to form a multi-point acquisition link covering different interference paths. The relative position interval between the monitoring nodes is set according to the interference propagation characteristics, so that any interference signal can be captured by at least one monitoring node in the shortest propagation path.

[0081] Further, the monitoring sensor network layout module 11 is further configured to perform the following steps:

[0082] The historical interference monitoring samples of the same model or similar devices in the past EMC test are collected, including interference signal waveform data, spectral characteristics, and test environment records. The electrical topology diagram of the device under test is obtained, including the connection mode and physical layout of the power module, signal processing module, driving module, and shell shielding structure. According to the association relationship between the historical interference monitoring samples and the nodes and connection paths in the electrical topology diagram, the probability of each node in the topology becoming an interference source / interference path starting point, and the probability of interference signals propagating outward in a conduction or radiation manner are calculated, and the conduction probability and the radiation probability are obtained.

[0083] Further, the interference signal analysis module 13 is further configured to perform the following steps:

[0084] The collected interference signals are subjected to fast Fourier transform to obtain the harmonic amplitude spectrum of each frequency point. According to the harmonic amplitude spectrum, the interference frequency distribution characteristics are determined, and the amplitude is compared with the preset electromagnetic compatibility limit value. According to the amplitude distribution and phase relationship, the interference is distinguished as common-mode interference or differential-mode interference.

[0085] Further, the adaptive interference tracking module 14 is further configured to perform the following steps:

[0086] Based on the data acquisition mark bit, a preliminary direction is obtained and combined with the interference type to locate a preliminary interference source suspected path; temporary suppression measures are applied on the preliminary interference source suspected path to obtain a before-and-after comparison signal; according to the change trend of the before-and-after comparison signal, an interference path and a source position are confirmed to obtain the interference source positioning result.

[0087] Further, the adaptive interference tracking module 14 is further used to execute the following steps:

[0088] The interference signal corresponding to the data acquisition mark bit is subjected to time domain correlation operation with a working trigger signal of the device under test; when a correlation coefficient exceeds a preset threshold, a working module corresponding to the trigger signal is taken as a candidate module of the interference source; a carrier frequency or a switching frequency of the candidate module is subjected to a slight disturbance, wherein the slight disturbance is a disturbance that changes the carrier frequency or the switching frequency by not more than ±5% of the rated value without affecting the normal operation of the device under test, and whether the interference frequency spectrum peak value linearly drifts with the disturbance is detected to confirm the interference source, thereby obtaining the interference source positioning result.

[0089] Further, the adaptive interference tracking module 14 is further used to execute the following steps:

[0090] According to the data acquisition mark bit, a candidate range is obtained by using a monitoring data distribution network of a monitoring sensor network to perform spatial direction circle narrowing; based on the candidate range, a near-field probe is used to perform local scanning along a device shell, a cable and an interface path; a physical position of the interference source is determined according to a maximum value position of a radiation intensity and a radiation signal attenuation characteristic with distance, thereby obtaining the interference source positioning result.

[0091] Embodiment three, an exemplary electronic device;

[0092] The electronic device 300 of the embodiment of the present application will be described below with reference to Figure 3

[0093] Based on the same inventive concept as the EMC interference source rapid positioning method in the foregoing embodiments, the present application further provides an EMC interference source rapid positioning system, which comprises a processor 302 and a memory 301, the memory 301 is used to store a program, when the program is executed by the processor 302, the system is caused to execute the steps of the method in embodiment one.

[0094] ​The electronic device 300 comprises a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 can further comprise a bus architecture 304. The communication interface 303, the processor 302, and the memory 301 can be connected to each other through 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 the convenience of representation, Figure 3 Only one thick line is used in the figure to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0095] The processor 302 can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of programs of the present application.

[0096] The communication interface 303 uses any transceiver-like device to communicate with other devices or communication networks, such as an Ethernet, a radio access network (RAN), a wireless local area network (WLAN), a wired access network, etc.

[0097] The memory 301 can be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this. The memory 301 can exist independently and be connected to the processor 302 through the bus architecture 304. The memory 301 can also be integrated with the processor 302.

[0098] The memory 301 is configured to store computer-executed instructions for implementing the scheme of the present application, and the processor 302 is configured to execute the computer-executed instructions stored in the memory 301. The processor 302 is configured to execute the computer-executed instructions stored in the memory 301, so as to implement the method for quickly locating the EMC interference source provided in the above-mentioned embodiments of the present application.

[0099] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. Moreover, the above-mentioned embodiments of the present application are described. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0100] The above-mentioned is only the preferred embodiment of the present application, and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0101] The present application and the drawings are only exemplary descriptions of the present application, and are considered to cover any and all modifications, changes, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application. Thus, if these modifications and changes of the present application belong to the scope of the present application and its equivalent technology, the present application intends to include these modifications and changes.

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; 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. 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 small disturbance in its carrier frequency or switching frequency. 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. The peak value of the interference spectrum is detected to determine whether it drifts linearly with the disturbance in order to identify the interference source and obtain the interference source location result. 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.

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. A rapid positioning system for EMC interference sources, characterized in that, The system is used to implement the rapid EMC interference source localization method according to any one of claims 1-5, the system comprising: 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.

7. 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 5.

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