Electromagnetic interference test method and system, test equipment and storage medium

Abstract

The invention discloses an electromagnetic interference test method and system, test equipment and a storage medium, and relates to the technical field of equipment detection, and the electromagnetic interference test method comprises the steps: controlling each test tool to move according to a preset moving track, and carrying out the risk frequency point detection of first to-be-tested equipment in the moving process of each test tool, obtaining an initial risk frequency point; and performing electromagnetic interference radiation source positioning based on the initial risk frequency point and a design file of the first to-be-tested equipment to obtain positioning data. According to the invention, the testing efficiency of EMI testing can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device detection, and in particular to an electromagnetic interference test method and system, a test device, and a storage medium. BACKGROUND

[0002] EMI (Electromagnetic Interference) testing refers to measuring the size of electromagnetic wave signals generated by a device under test in a normal working state and emitted outward, to measure the interference of the device under test on surrounding electronic devices.

[0003] Currently, EMI testing relies heavily on manual operation, and manual adjustment of the configuration of test tools and positioning and analysis of EMI problems are required, which makes it difficult to quickly and accurately find the root cause of EMI problems and take effective measures, and the overall test efficiency is low.

[0004] In summary, how to improve the test efficiency of EMI testing has become a technical problem that needs to be solved in the field. SUMMARY

[0005] The main purpose of the present application is to provide an electromagnetic interference test method, system, test device, and storage medium, which aims to improve the test efficiency of EMI testing.

[0006] To achieve the above purpose, the present application provides an electromagnetic interference test method, which comprises: controlling each test tool to move according to a preset movement track, and detecting a risk frequency point of a first device under test during movement of each test tool to obtain an initial risk frequency point; performing electromagnetic interference radiation source positioning based on the initial risk frequency point and a design file of the first device under test to obtain positioning data.

[0007] In an embodiment, the test tool comprises a test antenna and a carrier table, the preset movement track of the test antenna comprises a height movement track and a polarization direction movement track, and the movement track of the carrier table comprises a rotation movement track. The step of controlling each test tool to move according to a preset movement track comprises: controlling the test antenna to switch between a plurality of preset heights according to the height movement track; controlling the test antenna to switch between a plurality of preset polarization directions according to the polarization direction movement track at each preset height; controlling the carrier table to rotate according to the rotation movement track at each preset polarization direction.

[0008] In an embodiment, the step of detecting the initial risk frequency point of the first DUT during the movement of each test tool comprises: During the movement of each test tool, the electromagnetic interference radiation energy value of each frequency point of the first DUT is measured by the test antenna; For each frequency point, when the electromagnetic interference radiation energy value of the frequency point is higher than a preset threshold, the frequency point is determined as an initial risk frequency point.

[0009] In an embodiment, the step of positioning the electromagnetic interference radiation source based on the initial risk frequency point and the design file of the first DUT to obtain positioning data comprises: Marking the area of the initial risk frequency point on the first DUT by a preset area marking component; Array scanning the area by a preset near-field probe to determine the electromagnetic interference radiation source from the area; Spatially correlating and mapping the position information of the electromagnetic interference radiation source with the design file of the first DUT, and marking the position of the electromagnetic interference radiation source on the design file to obtain positioning data.

[0010] In an embodiment, the method further comprises: Collecting a plurality of positioning data, design files corresponding to each positioning data, and rectification record data as training samples; Inputting the training samples into an initial neural network model for training to obtain a trained risk prediction model; Inputting the design file of a second DUT into the risk prediction model to obtain an output electromagnetic interference risk prediction result.

[0011] In an embodiment, the step of inputting the design file of a second DUT into the risk prediction model to obtain an output electromagnetic interference risk prediction result comprises: Inputting the design file of a second DUT into the risk prediction model, wherein the risk prediction model comprises a single board simulation module and a whole machine simulation module; If the design file of the second DUT corresponds to a single board area, performing simulation analysis on the second DUT based on the single board simulation module to obtain an electromagnetic interference risk prediction result; If the design file of the second DUT corresponds to a whole machine area, performing simulation analysis on the second DUT based on the whole machine simulation module to obtain an electromagnetic interference risk prediction result.

[0012] In one embodiment, after the step of inputting the design file of the second device under test into the risk prediction model to obtain the output electromagnetic interference risk prediction result, the method further includes: A risk assessment report is generated based on the electromagnetic interference risk prediction results, wherein the risk assessment report includes the location data of the second device under test and rectification suggestions; The risk assessment report is sent to a preset terminal device, and confirmation information or modification suggestions are received from the terminal device based on the risk assessment report.

[0013] Furthermore, to achieve the above objectives, this application also proposes an electromagnetic interference testing system, which includes: An automatic testing module is used to control each testing tool to move according to a preset trajectory, and to detect the risk frequency point of the first device under test during the movement of each testing tool to obtain the initial risk frequency point; The positioning module is used to locate the electromagnetic interference radiation source based on the initial risk frequency and the design file of the first device under test, and obtain positioning data.

[0014] In addition, to achieve the above objectives, this application also proposes a testing device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the electromagnetic interference testing method described above.

[0015] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the electromagnetic interference testing method described above.

[0016] This application proposes an electromagnetic interference testing method. In this application, each testing tool is controlled to move along a preset trajectory, and during the movement of each testing tool, a risk frequency point is detected for the first device under test to obtain an initial risk frequency point. Based on the initial risk frequency point and the design documents of the first device under test, the electromagnetic interference radiation source is located to obtain the location data.

[0017] In summary, this application automates testing by controlling the testing tool to move along a preset trajectory, reducing manual intervention. Then, based on the initial risk frequency and the design file of the first device under test, the electromagnetic interference radiation source is located, and the location data is obtained. This allows for rapid and accurate analysis of the source of electromagnetic interference, greatly shortening the EMI problem location time and avoiding human error, thereby improving the efficiency of electromagnetic interference testing. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating an embodiment of the electromagnetic interference testing method of this application. Figure 2 This is a schematic diagram of the electromagnetic interference testing process provided in Embodiment 2 of the electromagnetic interference testing method of this application; Figure 3 This is another schematic diagram of an electromagnetic interference test process provided in Embodiment 2 of the electromagnetic interference test method of this application; Figure 4 This is a schematic diagram of the module structure of the electromagnetic interference testing system according to an embodiment of this application; Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the electromagnetic interference testing method in the embodiments of this application.

[0021] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0023] EMI testing refers to measuring the magnitude of electromagnetic wave signals generated and emitted by the device under test (DUT) under normal operating conditions in order to assess the interference of the DUT with surrounding electronic equipment.

[0024] Currently, EMI testing relies heavily on manual operation, requiring human intervention to adjust the configuration of testing tools and locate and analyze EMI problems. This makes it difficult to quickly and accurately identify the root cause of EMI problems and take effective solutions, resulting in low overall testing efficiency.

[0025] In summary, improving the testing efficiency of EMI testing has become a pressing technical problem that needs to be solved in this field.

[0026] This application provides a solution that controls each test tool to move along a preset trajectory, and detects the risk frequency of the first device under test during the movement of each test tool to obtain the initial risk frequency; and locates the electromagnetic interference radiation source based on the initial risk frequency and the design file of the first device under test to obtain the location data.

[0027] In summary, the embodiments of this application achieve automated testing by controlling the test tool to move along a preset trajectory, reducing manual intervention. Then, based on the initial risk frequency and the design file of the first device under test, the electromagnetic interference radiation source is located, and the location data is obtained. This allows for rapid and accurate analysis of the source of electromagnetic interference, greatly shortening the EMI problem location time and avoiding human error, thereby improving the efficiency of electromagnetic interference testing.

[0028] It should be noted that the executing entity in this embodiment can be a testing device with data processing, network communication, and program execution functions, or an electronic device capable of performing the above functions. The following description uses a testing device as an example to illustrate this embodiment and the subsequent embodiments.

[0029] Based on this, embodiments of this application provide an electromagnetic interference testing method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the electromagnetic interference testing method of this application.

[0030] In this embodiment, the electromagnetic interference testing method includes steps S10~S20: Step S10: Control each test tool to move along a preset trajectory, and detect the risk frequency point of the first device under test during the movement of each test tool to obtain the initial risk frequency point; With the help of an automated control system, each test tool is controlled to move along a preset trajectory. During the movement of each test tool, risk frequency point detection is performed on the first device under test to obtain the initial risk frequency point information of the first device under test.

[0031] Among them, the automated control system refers to a system that uses a control device to automatically control the controlled object (such as a test antenna, a test stage, or other test tools) without direct human intervention, so that it operates according to a predetermined pattern. The first device under test can be any electronic product that needs to be tested for electromagnetic interference, such as communication equipment, home appliances, and smart wearable devices.

[0032] Step S20: Based on the initial risk frequency and the design documents of the first device under test, locate the electromagnetic interference radiation source and obtain the location data.

[0033] It should be noted that the design documents of the first device under test refer to the collection of documents used to comprehensively describe the design information of all aspects of the device from conceptualization to actual production and manufacturing. The design documents may specifically include design information such as the circuit layout, component parameters, and signal transmission paths of the first device under test.

[0034] By combining the initial risk frequency data with the design documents of the first device under test, the location analysis of the electromagnetic interference radiation source is carried out. Specifically, by combining the initial risk frequency with the circuit layout and component distribution of the first device under test in the design documents, the approximate location area of ​​the electromagnetic interference radiation source in the design documents can be determined. Then, the propagation path and attenuation law of the electromagnetic interference signal are further analyzed. Combined with the signal changes detected by the test tool during the movement, the position coordinates of the electromagnetic interference radiation source can be accurately determined, and more accurate location data can be obtained.

[0035] In one feasible embodiment, the testing tools include a test antenna and a stage. The preset movement trajectory of the test antenna includes a height movement trajectory and a polarization direction movement trajectory, and the movement trajectory of the stage includes a rotational movement trajectory. Based on this, the step of "controlling each testing tool to move according to the preset movement trajectory" in step S10 may include steps S101 to S103: Step S101: Control the test antenna to switch between multiple preset heights according to the height movement trajectory; Based on the electromagnetic interference testing standards and the characteristics of the first device under test, a preset height movement trajectory for the test antenna is established, allowing the test antenna to move between multiple preset heights during the testing process to cover the electromagnetic interference detection requirements at different heights.

[0036] During the operation of the automated control system, the test antenna is controlled to switch between multiple preset heights according to a preset height movement trajectory. For example, the test antenna is first moved to a first preset height (e.g., 1 meter), and after completing the detection task at that height, it automatically switches to the next preset height (e.g., 2 meters) to continue detection. At the same time, the switching time and detection status of the test antenna at each height can be recorded for subsequent analysis and traceability.

[0037] Step S102: At each preset height, control the test antenna to move along the polarization direction trajectory and switch between multiple preset polarization directions; According to the electromagnetic interference test requirements, the polarization direction of the test antenna is preset to move along the trajectory. The polarization direction usually includes two types: horizontal polarization and vertical polarization. Other polarization directions can also be set as needed.

[0038] With the test antenna at each preset height, the antenna is controlled to move along a preset polarization direction trajectory, switching between multiple preset polarization directions. For example, at a height of 1 meter, the test antenna is first set to the horizontal polarization direction for detection. After completing the horizontal polarization detection, it automatically switches to the vertical polarization direction to continue detection. At a height of 2 meters, the test antenna is first set to the horizontal polarization direction for detection. After completing the horizontal polarization detection, it automatically switches to the vertical polarization direction to continue detection. Simultaneously, the switching time and detection status of the test antenna in each polarization direction can be recorded for subsequent analysis and traceability.

[0039] Step S103: In each preset polarization direction, control the stage to rotate according to the rotational movement trajectory.

[0040] Based on the shape of the first device under test and the testing requirements, the rotation trajectory of the stage is preset. Typically, the stage is set to rotate 360 ​​degrees to ensure that the first device under test can be fully tested in all directions.

[0041] With the test antenna in each preset polarization direction, the stage is controlled to rotate according to a preset rotation trajectory. For example, in the horizontal polarization direction, the stage is controlled to rotate at a preset rate, causing the stage to rotate the first device under test placed on it. This ensures that the first device under test can be fully detected by the test antenna during rotation. At the same time, the detection status of the stage at each rotation angle can be recorded, including detection time, detection frequency, and other information, for subsequent analysis and traceability.

[0042] Furthermore, in one feasible implementation, for different types of first devices under test (DUTs), control methods such as infrared, Bluetooth, or scripts can be flexibly configured, and the working mode of the first DUT can be automatically switched for testing. For example, in infrared control mode, the testing device will send preset infrared commands in sequence to control the movement of each testing tool and collect electromagnetic radiation data of the first DUT in each state; in Bluetooth control mode, the testing device will control the movement of each testing tool and collect electromagnetic radiation data of the first DUT in each state through Bluetooth communication; in script control mode, the testing device will execute the test steps according to the logic of the script, control the movement of each testing tool and collect electromagnetic radiation data of the first DUT in each state, so as to ensure test compatibility of different first DUTs.

[0043] In a feasible embodiment, step S10, "detecting the risk frequency point of the first device under test during the movement of each test tool, and obtaining the initial risk frequency point," may include steps S104-S105: Step S104: During the movement of each test tool, the electromagnetic interference radiation energy value of each frequency point of the first device under test is measured through the test antenna. As each testing tool moves along a preset trajectory, the electromagnetic interference radiation energy of the first device under test (DUT) at different positions and directions is measured first through the test antenna, and the electromagnetic interference radiation energy value corresponding to each frequency point of the first DUT is recorded.

[0044] Step S105: For each frequency point, when the electromagnetic interference radiation energy value of the frequency point is higher than the preset threshold, the frequency point is determined as the initial risk frequency point.

[0045] For each frequency point, the measured electromagnetic interference radiation energy value is compared with a preset threshold. If the electromagnetic interference radiation energy value of a certain frequency point is higher than the preset threshold, the frequency point is determined as the initial risk frequency point, and its relevant information, such as the energy value and its location in the first device under test, is recorded. The preset threshold can be set based on the actual application scenario, and this embodiment does not make specific limitations on it.

[0046] In one feasible embodiment, step S20 may include steps S201 to S203: Step S201: Mark the region of the initial risk frequency point on the first device under test using a preset region marking component; Using a preset area marking component, the area where the initial risk frequency point is detected is marked on the first device under test. Specifically, the area marking component may include infrared light and a camera. The area is marked by infrared light and the image is captured by the camera to achieve the effect of initially locating the area where the initial risk frequency point is located. This marking process can also be achieved through other visualization methods, as long as the area range where electromagnetic interference problems may exist can be clearly identified.

[0047] Step S202: Perform an array scan of the area using a preset near-field probe to identify electromagnetic interference radiation sources in the area; The electromagnetic interference intensity in the marked area is detected point by point by a near-field probe according to a preset scanning path and spacing. After the scan is completed, the collected scanning data is processed and analyzed. The specific location of the electromagnetic interference radiation source is accurately determined by drawing an electromagnetic interference intensity distribution map and calculating the gradient change of electromagnetic interference intensity.

[0048] Step S203: Spatial association mapping is performed between the location information of the electromagnetic interference radiation source and the design document of the first device under test, and the location of the electromagnetic interference radiation source is marked on the design document to obtain the positioning data.

[0049] By reading the equipment structure and component layout information in the design file, the location of the determined electromagnetic interference radiation source is accurately mapped to the corresponding location in the design file, and the location of the electromagnetic interference radiation source is marked in the design file, thereby obtaining intuitive electromagnetic interference radiation source location data for the first device under test.

[0050] In addition, in one feasible implementation, the tester can modify the first device under test based on the positioning data and retest the modified first device under test to ensure that the modified first device under test meets the electromagnetic compatibility requirements and can work normally. At the same time, modification record data can be generated for subsequent analysis of other devices under test.

[0051] Therefore, in this embodiment, the testing is automated by controlling the testing tool to move along a preset trajectory, reducing manual intervention. Then, based on the initial risk frequency and the design file of the first device under test, the electromagnetic interference radiation source is located, and the location data is obtained. This allows for rapid and accurate analysis of the source of electromagnetic interference, greatly shortening the EMI problem location time and avoiding human error, thereby improving the efficiency of electromagnetic interference testing.

[0052] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description and will not be repeated hereafter. In addition, the electromagnetic interference testing method of this application further includes steps S30~S50: Step S30: Collect multiple positioning data and the corresponding design documents and rectification record data as training samples; Collect electromagnetic interference test data of different types of first devices under test in various test environments, such as signal strength and spectrum distribution at different frequency bands and power levels. The electromagnetic interference test data includes location data, design documents and rectification record data, etc., and use these test case data as training samples.

[0053] Step S40: Input the training samples into the initial neural network model for training to obtain the trained risk prediction model; After training samples are input into the initial neural network model, the model learns and processes the samples, outputting training risk prediction results corresponding to the training samples. Based on these predictions, specific optimization algorithms (such as gradient descent) are used to update the parameters of the initial neural network model. By continuously adjusting parameters such as connection weights and biases between neurons, the model's output gradually approximates the actual risk situation of the training samples. After multiple iterations, when the error between the model's training risk prediction results and the actual risk situation reaches a preset accuracy requirement, the model is considered to have completed training, resulting in a well-trained risk prediction model.

[0054] Step S50: Input the design file of the second device under test into the risk prediction model to obtain the output electromagnetic interference risk prediction result.

[0055] The design documents of the second device under test (DUT) are input into a pre-built risk prediction model that has been trained and validated with a large amount of actual test data. This risk prediction model, based on machine learning or deep learning algorithms, can mine and analyze the input design documents and output electromagnetic interference risk prediction results. The second DUT can be any electronic product requiring electromagnetic interference testing, such as communication equipment, home appliances, and smart wearable devices. The electromagnetic interference risk prediction results can be presented in the form of intuitive quantitative indicators or risk levels; however, this embodiment does not specify a particular presentation format.

[0056] In one feasible embodiment, step S50 may include steps S501 to S503: Step S501: Input the design file of the second device under test into the risk prediction model, wherein the risk prediction model includes a single-board simulation module and a whole-machine simulation module. The design file of the second device under test is input into the preset risk prediction model, which includes a single-board simulation module and a whole-machine simulation module, and can accurately predict electromagnetic interference risks according to different scenarios.

[0057] Step S502: If the design file of the second device under test corresponds to the single board area, then the second device under test is simulated and analyzed based on the single board simulation module to obtain the electromagnetic interference risk prediction result. If the design file of the second device under test corresponds to the single-board area, the single-board simulation module in the risk prediction model is called. Based on the design file and the actual case library, the single-board simulation module can perform detailed simulation analysis on the circuit layout, component characteristics and the location of electromagnetic interference sources of the single board. Through simulation analysis, the propagation path, influence range and potential interference degree of electromagnetic interference in the single board are simulated, thereby obtaining the electromagnetic interference risk prediction result.

[0058] Step S503: If the design file of the second device under test corresponds to the whole machine area, then the second device is simulated and analyzed based on the whole machine simulation module to obtain the electromagnetic interference risk prediction result.

[0059] If the design document of the second device under test corresponds to the whole machine area, the whole machine simulation module in the risk prediction model is called. The whole machine simulation module can comprehensively consider the interaction between modules in the whole machine architecture, the signal transmission path and the coupling effect of electromagnetic interference. Through whole machine simulation analysis, the impact of electromagnetic interference on the performance of the whole machine system is evaluated, including the degree of interference to other modules and the potential risks to the overall function of the equipment, and finally the electromagnetic interference risk prediction result is obtained.

[0060] In one feasible embodiment, steps S60-S70 may be included after step S50: Step S60: Generate a risk assessment report based on the electromagnetic interference risk prediction results. The risk assessment report includes the location data of the second device under test and rectification suggestions. The electromagnetic interference risk prediction results output by the risk prediction model are organized and analyzed to generate a risk assessment report. This risk assessment report may include the location data of the second device under test and rectification suggestions, and may be saved in electronic document form.

[0061] In addition, the risk assessment report may include risk types, which can be categorized into high-frequency interference risks, low-frequency interference risks, conducted interference risks, and radiated interference risks, etc., with a detailed description of each risk type, explaining its possible causes and scope of impact. Furthermore, for each risk type, corresponding rectification suggestions are generated based on historical case studies and expert experience, such as optimizing circuit design, adding shielding measures, adjusting component layout, and improving signal transmission paths.

[0062] Step S70: Send the risk assessment report to the preset terminal device and receive confirmation information or modification suggestions from the terminal device based on the risk assessment report.

[0063] The risk assessment report is sent to a pre-designated terminal device, which is usually used by the technical team or relevant management personnel responsible for electromagnetic interference rectification. After receiving the risk assessment report, the user of the terminal device may review and confirm the report content or make suggestions for modification. If the user receives confirmation or modification suggestions from the terminal device, the user should immediately record and analyze the feedback.

[0064] For example, if a confirmation message is received, it indicates that the risk assessment report has been accepted, and electromagnetic interference rectification can be carried out based on the recommendations in the report. If a modification suggestion is received, the risk assessment report will be adjusted and optimized accordingly to ensure that the report can better meet the actual needs.

[0065] In summary, the EMI analysis in this embodiment is based on a risk prediction model. The model has self-learning capabilities and can continuously optimize the analysis logic based on historical cases and test data, thereby more accurately and quickly predicting EMI risks and proposing effective solutions.

[0066] For example, to help understand the implementation flow of the electromagnetic interference testing method obtained by combining this embodiment with the above embodiment one, please refer to... Figure 2 , Figure 2 A simplified flowchart of an electromagnetic interference testing method is provided, specifically: After the first device under test (DUT) is placed on the stage, the automatic EMI testing task is executed first. This includes: adjusting the antenna height of the test antenna to switch between 1M and 2M, switching to 2M after testing at 1M, and automatically switching back to 1M after testing at 2M; automatically switching the antenna direction, switching from horizontal to vertical after testing, and vice versa; automatically rotating the DUT to ensure that all 360 degrees of the DUT are tested; automatically selecting test points with high EMI radiation energy; automatically reading the points with high EMI radiation energy to obtain the initial risk frequency; and automatically switching the working mode for different first DUTs after configuring control methods such as infrared, Bluetooth, or scripts.

[0067] Then, the EMI location task is performed, which includes preliminary location and precise location. Specifically, it includes: finding EMI risk points, i.e. initial risk frequency points, by relying on fully automated testing tasks, marking the area with infrared light, and recording the data by taking pictures with a camera to achieve the effect of preliminary location of EMI risk areas; subsequently, by combining near-field probes, scanning the physical device (i.e. the first device under test) with an array, and then reading the design file, the EMI risk point area in the design file is precisely located, thus obtaining the location data.

[0068] Furthermore, in another feasible implementation, such as Figure 3 As shown, for each type of first device under test, after completing the EMI automatic testing task and EMI localization task, an EMI analysis task is performed. This EMI analysis task includes a learning task, an analysis task, and a measure verification task. The learning task uses a neural algorithm to train the device for EMI analysis; the analysis task performs case comparison analysis based on the learned solutions; and the measure verification task also verifies the effectiveness of EMI measures based on the learned solutions. Finally, an EMI pre-simulation task is performed for the new second device under test. This pre-simulation task can be divided into single-board simulation and whole-system simulation. Single-board simulation is a comparative simulation based on design documents and a real-world case library; whole-system simulation is a comparative simulation based on the combination of modules in the whole-system architecture and a real-world case library to obtain electromagnetic interference risk prediction results.

[0069] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the electromagnetic interference testing method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0070] This application also provides an electromagnetic interference testing system, please refer to... Figure 4 The electromagnetic interference testing system includes: Automatic testing module 10 is used to control each testing tool to move according to a preset trajectory, and to detect the risk frequency point of the first device under test during the movement of each testing tool to obtain the initial risk frequency point; The positioning module 20 is used to locate the electromagnetic interference radiation source based on the initial risk frequency and the design file of the first device under test, and obtain positioning data.

[0071] Optionally, the testing tools include a test antenna and a stage. The preset movement trajectory of the test antenna includes a height movement trajectory and a polarization direction movement trajectory, and the movement trajectory of the stage includes a rotational movement trajectory. The automatic testing module 10 is also used for: The test antenna is controlled to move along a height-based trajectory, switching between multiple preset heights. At each preset height, the control test antenna moves along a trajectory according to the polarization direction, switching between multiple preset polarization directions; In each preset polarization direction, the stage is controlled to rotate according to the rotational movement trajectory.

[0072] Optionally, the automatic testing module 10 is also used for: During the movement of each testing tool, the electromagnetic interference radiation energy value of the first device under test at each frequency point is measured through the test antenna. For each frequency point, when the electromagnetic interference radiation energy value of the frequency point is higher than the preset threshold, the frequency point is determined as the initial risk frequency point.

[0073] Optionally, the positioning module 20 is also used for: The region of the initial risk frequency point is marked on the first device under test by a preset region marking component; The region is scanned by an array of pre-set near-field probes to identify sources of electromagnetic interference radiation within the region. Spatial association mapping is performed between the location information of the electromagnetic interference radiation source and the design document of the first device under test, and the location of the electromagnetic interference radiation source is marked on the design document to obtain the positioning data.

[0074] Optionally, the electromagnetic interference testing system also includes a model testing module (not shown), which is used for: Collect multiple location data points, along with corresponding design documents and rectification records, as training samples. The training samples are input into the initial neural network model for training, resulting in a trained risk prediction model. The design documents of the second device under test are input into the risk prediction model to obtain the output electromagnetic interference risk prediction results.

[0075] Optionally, the model testing module is also used for: The design file of the second device under test is input into the risk prediction model, which includes a single-board simulation module and a whole-machine simulation module. If the design file of the second device under test corresponds to the single-board area, then the second device under test is simulated and analyzed based on the single-board simulation module to obtain the electromagnetic interference risk prediction result. If the design documents of the second device under test correspond to the whole machine area, then the second device under test is simulated and analyzed based on the whole machine simulation module to obtain the electromagnetic interference risk prediction results.

[0076] Optionally, the electromagnetic interference testing system also includes a feedback module (not shown), which is used for: A risk assessment report is generated based on the electromagnetic interference risk prediction results. The risk assessment report includes the location data of the second device under test and rectification suggestions. The risk assessment report is sent to a pre-set terminal device, and the terminal device provides confirmation information or modification suggestions based on the risk assessment report.

[0077] The electromagnetic interference (EMI) testing system provided in this application, employing the EMI testing method described in the above embodiments, can improve the testing efficiency of EMI testing. Compared with the prior art, the beneficial effects of the EMI testing system provided in this application are the same as those of the EMI testing method described in the above embodiments, and other technical features of the EMI testing system are the same as those disclosed in the EMI testing method described in the above embodiments, and will not be repeated here.

[0078] This application provides a testing device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the electromagnetic interference testing method in the first embodiment described above.

[0079] The following is for reference. Figure 5The diagram illustrates a structural schematic of a test device suitable for implementing embodiments of this application. The test device in the embodiments of this application may include, but is not limited to, mobile terminals such as laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), and fixed terminals such as digital TVs and desktop computers. Figure 5 The test equipment shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0080] like Figure 5 As shown, the test equipment may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory 1002 or a program loaded from a storage device 1003 into a random access memory 1004. The random access memory 1004 also stores various programs and data required for the operation of the test equipment. The processing unit 1001, the read-only memory 1002, and the random access memory 1004 are interconnected via a bus 1005. An input / output interface 1006 is also connected to the bus. Typically, the following systems can be connected to the input / output interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the test equipment to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows test equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0081] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from read-only memory 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0082] The testing equipment provided in this application, employing the electromagnetic interference testing method described in the above embodiments, can improve the testing efficiency of EMI testing. Compared with the prior art, the beneficial effects of the testing equipment provided in this application are the same as those of the electromagnetic interference testing method provided in the above embodiments, and other technical features of the testing equipment are the same as those disclosed in the electromagnetic interference testing method of the previous embodiment, and will not be repeated here.

[0083] It should be understood that the various parts disclosed in the embodiments of this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0084] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0085] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the electromagnetic interference testing method in the above embodiments.

[0086] The computer-readable storage medium provided in this application embodiment may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0087] The aforementioned computer-readable storage medium may be included in the test equipment or may exist independently without being assembled into the test equipment.

[0088] The aforementioned computer-readable storage medium carries one or more programs. When the aforementioned one or more programs are executed by the test equipment, the test equipment causes the test equipment to: control each test tool to move according to a preset movement trajectory, and during the movement of each test tool, perform risk frequency detection on the first device under test to obtain an initial risk frequency; and locate the electromagnetic interference radiation source based on the initial risk frequency and the design file of the first device under test to obtain location data.

[0089] Computer program code for performing the operations of the embodiments of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0090] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0091] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0092] The readable storage medium provided in this application embodiment is a computer-readable storage medium. This computer-readable storage medium stores computer-readable program instructions (i.e., a computer program) for executing the above-described electromagnetic interference testing method, thereby improving the testing efficiency of EMI testing. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application embodiment are the same as the beneficial effects of the electromagnetic interference testing method provided in the above embodiments, and will not be repeated here.

[0093] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. An electromagnetic interference testing method, characterized in that, The electromagnetic interference testing method includes: Each test tool is controlled to move along a preset trajectory, and during the movement of each test tool, the first device under test is detected for risk frequency points to obtain the initial risk frequency points. Electromagnetic interference radiation sources are located based on the initial risk frequency and the design documents of the first device under test, and location data is obtained.

2. The electromagnetic interference testing method as described in claim 1, characterized in that, The testing tool includes a test antenna and a stage. The preset movement trajectory of the test antenna includes a height movement trajectory and a polarization direction movement trajectory. The movement trajectory of the stage includes a rotational movement trajectory. The steps for controlling each testing tool to move according to a preset trajectory include: The test antenna is controlled to switch between multiple preset heights according to the height movement trajectory. At each preset height, the test antenna is controlled to move along a trajectory according to the polarization direction, switching between multiple preset polarization directions; In each preset polarization direction, the stage is controlled to rotate according to the rotational movement trajectory.

3. The electromagnetic interference testing method as described in claim 1, characterized in that, The step of detecting the risk frequency point of the first device under test and obtaining the initial risk frequency point during the movement of each of the test tools includes: During the movement of each of the aforementioned test tools, the electromagnetic interference radiation energy value of the first device under test at each frequency point is measured through the test antenna. For each of the aforementioned frequency points, if the electromagnetic interference radiation energy value at the frequency point is higher than a preset threshold, the frequency point is determined as an initial risk frequency point.

4. The electromagnetic interference testing method as described in claim 1, characterized in that, The step of locating electromagnetic interference radiation sources based on the initial risk frequency and the design documents of the first device under test, and obtaining location data, includes: The region of the initial risk frequency point is marked on the first device under test using a preset region marking component; The region is scanned in an array using a preset near-field probe to identify electromagnetic interference radiation sources within the region. The location information of the electromagnetic interference radiation source is spatially associated and mapped with the design file of the first device under test, and the location of the electromagnetic interference radiation source is marked on the design file to obtain the positioning data.

5. The electromagnetic interference testing method according to any one of claims 1 to 4, characterized in that, The method further includes: Collect multiple positioning data sets, along with corresponding design documents and rectification records, as training samples. The training samples are input into the initial neural network model for training to obtain a trained risk prediction model. The design file of the second device under test is input into the risk prediction model to obtain the output electromagnetic interference risk prediction result.

6. The electromagnetic interference testing method as described in claim 5, characterized in that, The step of inputting the design file of the second device under test into the risk prediction model to obtain the output electromagnetic interference risk prediction result includes: The design file of the second device under test is input into the risk prediction model, wherein the risk prediction model includes a single-board simulation module and a whole-machine simulation module; If the design file of the second device under test corresponds to the single-board area, then the second device under test is simulated and analyzed based on the single-board simulation module to obtain the electromagnetic interference risk prediction result; If the design documents of the second device under test correspond to the whole machine area, then the second device under test is simulated and analyzed based on the whole machine simulation module to obtain the electromagnetic interference risk prediction results.

7. The electromagnetic interference testing method as described in claim 5, characterized in that, After the step of inputting the design file of the second device under test into the risk prediction model to obtain the output electromagnetic interference risk prediction result, the method further includes: A risk assessment report is generated based on the electromagnetic interference risk prediction results, wherein the risk assessment report includes the location data of the second device under test and rectification suggestions; The risk assessment report is sent to a preset terminal device, and confirmation information or modification suggestions are received from the terminal device based on the risk assessment report.

8. An electromagnetic interference testing system, characterized in that, The electromagnetic interference testing system includes: An automatic testing module is used to control each testing tool to move according to a preset trajectory, and to detect the risk frequency point of the first device under test during the movement of each testing tool to obtain the initial risk frequency point; The positioning module is used to locate the electromagnetic interference radiation source based on the initial risk frequency and the design file of the first device under test, and obtain positioning data.

9. A testing device, characterized in that, The test equipment includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the electromagnetic interference test method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the electromagnetic interference testing method as described in any one of claims 1 to 7.

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