Electromagnetic compatibility performance diagnosis system and method

Abstract

The invention provides an electromagnetic compatibility performance diagnosis system and method, relates to the field of data analysis, and adopts a data processing technology based on natural language analysis. And analyzing the radiation emission experimental data, the conducted emission experimental data, the radiation immunity experimental data and the conducted interference experimental data of the target analysis equipment to obtain an electromagnetic compatibility diagnostic report of the target analysis equipment. Therefore, comprehensive and automatic data analysis can be realized, and the accuracy and efficiency of electromagnetic compatibility diagnosis can be improved.

Description

Technical Field

[0001] The present application relates to the field of data analysis, and more specifically, to an electromagnetic compatibility performance diagnosis system and method. Background Art

[0002] Electromagnetic compatibility performance includes the ability to generate interference to the outside world and the ability to resist external interference. Specifically, it refers to the ability of electronic and electrical equipment to resist the influence of electromagnetic interference from the external environment and to continue to work normally under normal working conditions; at the same time, the equipment has the ability to not generate excessive electromagnetic interference to the external environment under normal working conditions. In short, it means the ability of electronic and electrical equipment to resist interference and emit interference.

[0003] Traditional electromagnetic compatibility performance diagnosis only relies on certain types of data. Incomplete data can easily lead to inaccurate diagnosis. In addition, traditional diagnostic methods rely on manual analysis, which is easily affected by subjective factors and has low efficiency.

[0004] Therefore, an optimized electromagnetic compatibility performance diagnostic solution is needed. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present application provides an electromagnetic compatibility performance diagnosis system and method.

[0006] According to one aspect of the present application, there is provided an electromagnetic compatibility performance diagnostic system, comprising:

[0007] The electromagnetic compatibility performance diagnosis related data acquisition module is used to obtain the radiation emission test data, conducted emission test data, radiation immunity test data and conducted immunity test data of the target analysis equipment;

[0008] An electromagnetic compatibility performance diagnosis related data preprocessing module, used for preprocessing the radiation emission test data, the conducted emission test data, the radiation immunity test data and the conducted immunity test data of the target analysis equipment to obtain the preprocessed radiation emission test data, the preprocessed conducted emission test data, the preprocessed radiation immunity test data and the preprocessed conducted immunity test data;

[0009] A target analysis device emission interference performance analysis module is used to perform data analysis on the pre-processed radiated emission experimental data and the pre-processed conducted emission experimental data to obtain a target analysis device emission interference performance characteristic vector;

[0010] The target analysis equipment anti-interference performance analysis module is used to perform data analysis on the pre-processed radiation immunity test data and the pre-processed conducted immunity test data to obtain the target analysis equipment anti-interference performance feature vector;

[0011] A target analysis device electromagnetic compatibility performance feature fusion generation module, used to fuse the target analysis device emission interference performance feature vector and the target analysis device anti-interference performance feature vector to obtain the target analysis device electromagnetic compatibility performance feature vector;

[0012] The electromagnetic compatibility performance diagnosis result generating module is used to obtain the electromagnetic compatibility performance diagnosis report of the target analysis equipment based on the electromagnetic compatibility performance characteristic vector of the target analysis equipment.

[0013] According to another aspect of the present application, there is provided an electromagnetic compatibility performance diagnostic method, which includes:

[0014] Obtain the radiation emission test data, conducted emission test data, radiation immunity test data and conducted immunity test data of the target analysis equipment;

[0015] Preprocessing the radiation emission test data, the conducted emission test data, the radiation immunity test data and the conducted immunity test data of the target analysis equipment respectively to obtain the preprocessed radiation emission test data, the preprocessed conducted emission test data, the preprocessed radiation immunity test data and the preprocessed conducted immunity test data;

[0016] Performing data analysis on the pre-processed radiated emission experimental data and the pre-processed conducted emission experimental data to obtain a characteristic vector of emission interference performance of a target analysis device;

[0017] Performing data analysis on the pre-processed radiation immunity test data and the pre-processed conducted immunity test data to obtain an anti-interference performance characteristic vector of the target analysis device;

[0018] The target analysis device transmit interference performance characteristic vector and the target analysis device anti-interference performance characteristic vector are merged to obtain the target analysis device electromagnetic compatibility performance characteristic vector;

[0019] Based on the electromagnetic compatibility performance characteristic vector of the target analysis device, an electromagnetic compatibility performance diagnostic report of the target analysis device is obtained.

[0020] This application has significant technical effects due to the adoption of the above technical solutions:

[0021] The electromagnetic compatibility performance diagnosis system and method provided by the present application adopts data processing technology based on natural language analysis, and obtains the electromagnetic compatibility performance diagnosis report of the target analysis equipment by analyzing the radiation emission test data, conducted emission test data, radiation immunity test data and conducted interference test data of the target analysis equipment. In this way, comprehensive and automated data analysis can be achieved, which is conducive to improving the accuracy and efficiency of electromagnetic compatibility performance diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0023] Figure 1 4 is a system block diagram of an electromagnetic compatibility performance diagnostic system according to an embodiment of the present application.

[0024] Figure 2 It is a block diagram of an interference performance analysis module transmitted by a target analysis device in an electromagnetic compatibility performance diagnosis system according to an embodiment of the present application.

[0025] Figure 3 It is a block diagram of an anti-interference performance analysis module of a target analysis device in an electromagnetic compatibility performance diagnosis system according to an embodiment of the present application.

[0026] Figure 4 It is a block diagram of an electromagnetic compatibility performance diagnosis result generation module in an electromagnetic compatibility performance diagnosis system according to an embodiment of the present application.

[0027] Figure 5 4 is a flow chart of an electromagnetic compatibility performance diagnostic method according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0029] Electromagnetic compatibility performance includes the ability of electronic and electrical equipment to emit external interference and resist external interference, that is, the equipment can resist external electromagnetic interference and continue to operate normally when working normally, and does not generate excessive electromagnetic interference in the external environment. Traditional electromagnetic compatibility performance diagnosis relies on partial data, and incomplete data can easily lead to inaccurate diagnosis. It also relies on manual analysis, which is affected by subjective factors and has low efficiency. Therefore, an optimized electromagnetic compatibility performance diagnosis solution is expected.

[0030] In recent years, deep learning and neural networks have been widely used in computer vision, natural language processing, text signal processing and other fields. In addition, deep learning and neural networks have also shown a level close to or even beyond that of humans in image classification, object detection, semantic segmentation, text translation and other fields. The development of deep learning and neural networks has provided new solutions and solutions for electromagnetic compatibility performance diagnosis.

[0031] Figure 1 FIG. 1 is a system block diagram of an electromagnetic compatibility performance diagnostic system according to an embodiment of the present application. Figure 1 As shown, in the electromagnetic compatibility performance diagnosis system 100, it includes: an electromagnetic compatibility performance diagnosis related data acquisition module 110, which is used to obtain the radiation emission experimental data, conducted emission experimental data, radiation immunity experimental data and conducted immunity experimental data of the target analysis equipment; an electromagnetic compatibility performance diagnosis related data preprocessing module 120, which is used to preprocess the radiation emission experimental data, conducted emission experimental data, radiation immunity experimental data and conducted immunity experimental data of the target analysis equipment to obtain the preprocessed radiation emission experimental data, preprocessed conducted emission experimental data, preprocessed radiation immunity experimental data and preprocessed conducted immunity experimental data; a target analysis equipment emission interference performance analysis module 130, which is used to analyze the preprocessed radiation emission experimental data and the preprocessed The pre-processed conducted emission experimental data is subjected to data analysis to obtain a characteristic vector of the emission interference performance of the target analysis device; a target analysis device anti-interference performance analysis module 140 is used to perform data analysis on the pre-processed radiation immunity experimental data and the pre-processed conducted immunity experimental data to obtain a characteristic vector of the anti-interference performance of the target analysis device; a target analysis device electromagnetic compatibility performance feature fusion generation module 150 is used to fuse the target analysis device emission interference performance characteristic vector and the target analysis device anti-interference performance characteristic vector to obtain a target analysis device electromagnetic compatibility performance characteristic vector; an electromagnetic compatibility performance diagnosis result generation module 160 is used to obtain an electromagnetic compatibility performance diagnosis report of the target analysis device based on the electromagnetic compatibility performance characteristic vector of the target analysis device.

[0032] In the embodiment of the present application, the electromagnetic compatibility performance diagnosis related data acquisition module 110 is used to obtain the radiation emission experimental data, conducted emission experimental data, radiation immunity experimental data and conducted immunity experimental data of the target analysis device. It should be understood that the radiation emission experimental data mainly includes the frequency ranges in which the target analysis device generates radiation emission and the radiation field strength generated by the device at a specific frequency. The radiation field strength is usually expressed in decibel microvolts. The conducted emission experimental data mainly includes the frequency ranges in which the target analysis device generates conducted emission through the signal line and the voltage conducted outward by the device through the signal line at a specific frequency. The radiation immunity experimental data mainly includes the frequency ranges in which the target analysis device undergoes radiation immunity testing and records the radiation field strength applied during the test and the performance of the device under different radiation field environments. The conducted immunity experimental data mainly includes the frequency ranges in which the target analysis device undergoes conducted immunity testing, as well as the type of interference signal, the strength of the interference signal and the performance of the device under the conducted interference environment. The radiation emission test data directly reflects the electromagnetic radiation energy transmitted through the air by the equipment in the working state. By analyzing the radiation emission data, it can be determined whether the equipment meets the relevant electromagnetic radiation limit requirements, so as to judge whether it will cause adverse effects on the surrounding environment; the conducted emission test data evaluates the electromagnetic radiation energy transmitted to the outside by the equipment through the connecting line. By analyzing the conducted emission data, it can be ensured that the equipment will not cause adverse effects on the power grid environment during normal use; the radiation immunity test data evaluates the anti-interference ability of the equipment when it is interfered by the radiation field. By analyzing the radiation immunity data, it can be judged whether the equipment can maintain normal performance when facing electromagnetic radiation interference; the conducted immunity test data evaluates the resistance of the equipment to electromagnetic interference from the external signal line. By analyzing the conducted immunity data, it can be judged whether the equipment has good anti-interference performance in the power grid environment. In general, these four test data comprehensively evaluate the electromagnetic compatibility performance of the equipment from four aspects: radiation emission, conducted emission, radiation immunity and conducted immunity. They are important bases for formulating effective diagnostic reports and proposing improvement measures.

[0033] In an embodiment of the present application, the electromagnetic compatibility performance diagnosis related data preprocessing module 120 is used to preprocess the radiation emission experimental data, the conducted emission experimental data, the radiation immunity experimental data and the conducted immunity experimental data of the target analysis equipment to obtain the preprocessed radiation emission experimental data, the preprocessed conducted emission experimental data, the preprocessed radiation immunity experimental data and the preprocessed conducted immunity experimental data. Accordingly, considering that the data directly obtained from the experimental equipment or the test environment often contains noise, abnormal values, inconsistent formats and other problems, these problems will directly affect the accuracy and reliability of subsequent data analysis, in addition, there are differences in format and accuracy between data from different sources, and these differences will also bring difficulties to subsequent data processing and analysis, so in the technical solution of the present application, it is necessary to preprocess the collected emission experimental data and immunity data of the target analysis equipment. Through preprocessing, the quality of the original collected experimental data can be improved, making it more suitable for subsequent data analysis and feature extraction.

[0034] In the embodiment of the present application, the target analysis device emission interference performance analysis module 130 is used to perform data analysis on the pre-processed radiated emission experimental data and the pre-processed conducted emission experimental data to obtain the target analysis device emission interference performance characteristic vector. Specifically, Figure 2 FIG. 1 is a block diagram of a target analysis device emission interference performance analysis module in an electromagnetic compatibility performance diagnosis system according to an embodiment of the present application. Figure 2 As shown, the target analysis device transmission interference performance analysis module 130 includes: a radiation emission interference performance feature extraction unit 131, which is used to segment the pre-processed radiation emission experimental data and pass it through a radiation emission experimental data semantic encoder to obtain a radiation emission interference performance feature vector; a conduction emission interference performance feature extraction unit 132, which is used to segment the pre-processed conduction emission experimental data and pass it through a conduction emission experimental data semantic encoder to obtain a conduction emission interference performance feature vector; a transmission interference performance feature fusion generation unit 133, which is used to fuse the radiation emission interference performance feature vector and the conduction emission interference performance feature vector to obtain the target analysis device transmission interference performance feature vector.

[0035] Considering that the radiation emission experimental data after preprocessing exists in the form of text, it specifically includes information such as experimental description, test conditions, and result records. In order to efficiently process the continuous preprocessed radiation emission experimental text data, it is first necessary to perform word segmentation on the preprocessed radiation emission experimental data. Through word segmentation, long text can be divided into smaller vocabulary units, and vocabulary is the basic unit of text expression, with specific semantic and grammatical functions, which helps to understand the content of the original radiation emission experimental data. In order to extract the deep semantic features in the text data after word segmentation and further capture the association and contextual information between the key words of the radiation emission experiment, it is necessary to input the radiation emission experiment keywords after word segmentation into the radiation emission experimental data semantic encoder to obtain the radiation emission interference performance feature vector. Through the processing of the semantic encoding of the radiation emission experimental data, the content of the experimental data can be understood more accurately, thereby helping to identify potential electromagnetic compatibility problems. In this application, the radiation emission experimental data semantic encoder is a converter-based semantic encoder including an embedding layer. The converter model can capture the long-distance dependency between words through the self-attention mechanism and generate a richer and more accurate semantic representation, while the embedding layer can easily integrate the pre-trained word embedding vector, thereby further improving the performance of the semantic encoder.

[0036] Similarly, in order to speed up the efficiency of data processing, it is necessary to perform word segmentation on the pre-processed conduction emission experimental data. The conducted emission experimental keywords obtained after word segmentation not only express the surface information, but also imply deep semantic relationships. In order to capture these semantic relationships and generate feature representations that can reflect the essence of the experimental data, it is necessary to input the conducted emission experimental keywords after word segmentation into the conducted emission experimental data semantic encoder to obtain the conducted emission interference performance feature vector. The feature vector obtained by the conducted emission experimental data semantic encoder can more accurately reflect the characteristics of the conducted emission experimental data, thereby improving the accuracy of performance diagnosis. The conducted emission experimental data semantic encoder in this application is also a converter-based semantic encoder that includes an embedding layer.

[0037] Considering that radiated emission and conducted emission are two main forms of electromagnetic interference, they represent the ability of the device to propagate electromagnetic energy through space radiation and conductive media, respectively. In order to more comprehensively evaluate the emission interference characteristics of the target analysis device, it is necessary to fuse the radiated emission interference performance characteristic vector and the conducted emission interference performance characteristic vector in the technical solution of the present application to obtain the target analysis device emission interference performance characteristic vector. It should be understood that the interference mechanisms of radiated emission and conducted emission are different, but they are often interrelated and influential. By fusing the two characteristic vectors, the impact of these two interference forms on the overall emission interference performance of the device can be comprehensively considered, thereby improving the accuracy of diagnosis. This comprehensive evaluation can more accurately reflect the performance of the device in a real electromagnetic environment and reduce misjudgments or missed judgments caused by insufficient evaluation of a single interference form.

[0038] In the embodiment of the present application, the target analysis device anti-interference performance analysis module 140 is used to perform data analysis on the pre-processed radiation immunity test data and the pre-processed conducted immunity test data to obtain the target analysis device anti-interference performance feature vector. Specifically, Figure 3 FIG. 1 is a block diagram of an anti-interference performance analysis module of a target analysis device in an electromagnetic compatibility performance diagnosis system according to an embodiment of the present application. Figure 3 As shown, the target analysis device anti-interference performance analysis module 140 includes: a radiation immunity performance feature extraction unit 141, which is used to segment the pre-processed radiation immunity experimental data and pass it through a radiation immunity experimental data semantic encoder to obtain a radiation immunity performance feature vector; a conduction immunity performance feature extraction unit 142, which is used to segment the pre-processed conduction immunity experimental data and pass it through a conduction immunity experimental data semantic encoder to obtain a conduction immunity performance feature vector; an anti-interference performance feature fusion generation unit 143, which is used to fuse the radiation immunity performance feature vector and the conduction immunity performance feature vector to obtain the anti-interference performance feature vector of the target analysis device.

[0039] Similarly, the radiation immunity test data after preprocessing is also text data. The text data is a continuous string before being processed, and it is difficult for the computer to directly understand its semantics. In order to facilitate the radiation immunity test data to be easier to be processed and analyzed by the computer, it is necessary to segment the preprocessed radiation immunity test data. Segmentation can help quickly obtain key information in the original experimental data. Then the radiation immunity test keywords obtained after segmentation are passed through the radiation immunity test data semantic encoder to obtain the radiation immunity performance feature vector. In this application, the radiation immunity test data semantic encoder is a converter-based semantic encoder including an embedding layer. Those of ordinary skill in the art should understand that the embedding layer can map words to a high-dimensional space, so that similar words are closer in space, thereby retaining the semantic similarity between words. This representation method helps to more accurately capture the semantic information in the radiation immunity test data. The converter model can effectively capture the long-distance dependencies in the input sequence data, which helps to understand the deep semantic information in the text.

[0040] In order to deeply understand the semantic information in the pre-processed conducted immunity test data, it is necessary to segment the pre-processed conducted immunity test data and pass it through a conducted immunity test data semantic encoder to obtain a conducted immunity performance feature vector. The conducted immunity test data semantic encoder in this application is a converter-based semantic encoder including an embedding layer. After being processed by the semantic encoder, the original conducted immunity test data is converted into a conducted immunity performance feature vector rich in semantic information, which can accurately reflect the essential characteristics and performance of the conducted immunity test data.

[0041] Radiated immunity and conducted immunity respectively represent the anti-interference ability of the device when facing electromagnetic energy propagated through space radiation and conductive media. There is often an interaction between them. For example, a device may exhibit weaker conducted immunity in a strong radiation environment, and vice versa. This interactive effect may be difficult to fully reveal when evaluating a certain anti-interference performance alone. Therefore, in the technical solution of the present application, the radiation immunity performance characteristic vector and the conducted immunity performance characteristic vector are fused to obtain the anti-interference performance characteristic vector of the target analysis device. The fusion of the two characteristic vectors can comprehensively consider the performance of the target analysis device under two forms of immunity, thereby improving the accuracy of electromagnetic compatibility performance diagnosis.

[0042] In an embodiment of the present application, the target analysis device electromagnetic compatibility performance feature fusion generation module 150 is used to fuse the target analysis device emission interference performance feature vector and the target analysis device anti-interference performance feature vector to obtain the target analysis device electromagnetic compatibility performance feature vector. Accordingly, considering that electromagnetic compatibility performance involves two main aspects, one is the anti-interference performance of the device, and the other is the emission interference performance of the device. These two aspects are interrelated and influence each other, and together constitute the electromagnetic compatibility performance of the device. In order to comprehensively and accurately reflect the electromagnetic compatibility performance of the target analysis device, it is necessary to fuse the emission interference performance feature vector and the anti-interference performance feature vector in the technical solution of the present application. Through fusion, multiple aspects of the device in electromagnetic compatibility can be comprehensively considered, thereby improving the accuracy of the analysis. This accuracy improvement helps to more accurately identify problems and potential risks in the electromagnetic compatibility of the device.

[0043] In the embodiment of the present application, the electromagnetic compatibility performance diagnostic result generating module 160 is used to obtain the electromagnetic compatibility performance diagnostic report of the target analysis device based on the electromagnetic compatibility performance feature vector of the target analysis device. Specifically, Figure 4 FIG. 1 is a block diagram of an electromagnetic compatibility performance diagnostic result generating module in an electromagnetic compatibility performance diagnostic system according to an embodiment of the present application. Figure 4 As shown, the electromagnetic compatibility performance diagnosis result generation module 160 includes: a target analysis device electromagnetic compatibility performance feature optimization unit 161, which is used to simplify the redundant features of the electromagnetic compatibility performance feature vector of the target analysis device based on entropy variable quantitative analysis to obtain an optimized target analysis device electromagnetic compatibility performance feature vector; an optimized target analysis device electromagnetic compatibility performance feature parsing unit 162, which is used to pass the optimized target analysis device electromagnetic compatibility performance feature vector through an electromagnetic compatibility performance diagnosis report generator to obtain a generation result, and the generation result is an electromagnetic compatibility performance diagnosis report of the target analysis device.

[0044] In particular, first of all, considering that different experimental data come from different experiments, the experimental data will contain similar information. Secondly, in the preprocessing stage of the experimental data, some noise or irrelevant information is not effectively removed, which will cause unimportant features to be retained, and when using the semantic encoder to extract features from different experimental data, the feature extraction method is not accurate enough and will introduce some redundant features, which will lead to feature redundancy in the electromagnetic compatibility performance feature vector of the target analysis equipment obtained. When the electromagnetic compatibility performance feature vector of the target analysis equipment is decoded and generated by the generator, the redundant features may "crowd out" other important features, making it difficult for the generator to accurately capture key information and affecting the generation iteration effect. Therefore, in the technical solution of the present application, it is necessary to simplify the redundant features of the electromagnetic compatibility performance feature vector of the target analysis equipment based on entropy variable quantitative analysis to obtain an optimized electromagnetic compatibility performance feature vector of the target analysis equipment.

[0045] Specifically, in an embodiment of the present application, the target analysis device electromagnetic compatibility performance feature optimization unit includes: a prediction parameter row vector extraction subunit, used to extract each row vector of the electromagnetic compatibility performance diagnosis prediction parameter space to obtain a set of electromagnetic compatibility performance diagnosis prediction parameter row vectors; an electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value calculation subunit, used to calculate the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value between the electromagnetic compatibility performance feature vector of the target analysis device and each electromagnetic compatibility performance diagnosis prediction parameter row vector in the set of electromagnetic compatibility performance diagnosis prediction parameter row vectors to obtain a set of electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values; an electromagnetic compatibility performance diagnosis entropy degradation modulation value calculation subunit, used to calculate the square root of the sum of squares of the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values ​​to obtain an electromagnetic compatibility performance diagnosis entropy degradation modulation value; a target analysis device electromagnetic compatibility performance feature distribution modulation subunit, used to perform feature distribution modulation on the target analysis device electromagnetic compatibility performance feature vector based on the electromagnetic compatibility performance diagnosis entropy degradation modulation value to obtain the optimized target analysis device electromagnetic compatibility performance feature vector.

[0046] In an embodiment of the present application, the target analysis device electromagnetic compatibility performance characteristic optimization unit processes the target analysis device electromagnetic compatibility performance characteristic vector according to the following formula to obtain an optimized target analysis device electromagnetic compatibility performance characteristic vector; wherein the formula is:

[0047] P = {p 1 , p 2 , ..., p j , ..., p n}

[0048] D j =Softmax(Mm v c +H m p j +b m )

[0049]

[0050]

[0051] Where P represents the set of row vectors of electromagnetic compatibility performance diagnosis prediction parameters, p 1 、p 2 、p j 、p n represents the first, second, jth and nth electromagnetic compatibility performance diagnosis prediction parameter row vectors in the set of electromagnetic compatibility performance diagnosis prediction parameter row vectors, v c represents the electromagnetic compatibility performance characteristic vector of the target analysis equipment, S0ftmax represents the normalized exponential function, M m represents the first weight matrix, H m represents the second weight matrix, b m represents the bias vector, D j represents the jth electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value of the set of electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values, t represents the electromagnetic compatibility performance diagnosis entropy degradation modulation value, v c ⊙t represents the electromagnetic compatibility performance characteristic vector v of the target analysis equipment c Each eigenvalue of the t-th power, represents the i-th eigenvalue of the electromagnetic compatibility performance characteristic vector of the target analysis equipment, α represents a predetermined hyperparameter, ⊕ represents addition by position, and V' represents the optimized electromagnetic compatibility performance characteristic vector of the target analysis equipment.

[0052] More specifically, in an embodiment of the present application, the electromagnetic compatibility performance diagnosis entropy degradation modulation value calculation subunit is used to: use SpringBoot to initialize a new Spring project, and add dependencies in the pom.xml file in the new Spring project; create an EMCEntropyService class in the new Spring project, and the EMCEntropyService class contains the calculation logic of the electromagnetic compatibility performance diagnosis entropy degradation modulation value; create an EMCEntropyController class in the new Spring project, which is used to process HTTP requests and call methods of the EMCEntropyService class; use Gradle to package the Spring project containing the function implementation operation into a JAR file, and deploy the JAR file to the server supported by the SpringBoot.

[0053] In an embodiment of the present application, the code of the electromagnetic compatibility performance diagnosis entropy degradation modulation value calculation subunit may be implemented as follows:

[0054]

[0055]

[0056] It should be understood that the benefits of using the Spring mechanism to deploy the computational electromagnetic compatibility performance diagnostic entropy degradation modulation value in this application are: a. Spring's dependency injection mechanism can automatically manage dependencies between components, reduce code coupling, and improve code testability and reusability; b. Spring supports aspect-oriented programming, allowing developers to add additional behaviors to the system without modifying the source code; c. The Spring framework supports integration testing, which can easily test various parts of an application, including the service layer, controller layer, and data access layer; d. SpringBoot and SpringCloud provide strong support for building a microservice architecture, making the development and deployment of microservices easier; e. Spring applications can usually be packaged as independent JAR files, which are easy to deploy in various environments; f. Spring provides a powerful error handling mechanism that can centrally handle errors and exceptions in applications.

[0057] In the technical solution of the present application, the electromagnetic compatibility performance feature vector of the target analysis device has feature redundancy, which causes a run on the internal mechanism of the generator when it is decoded and generated by the generator, affecting the problem of generating iteration effect. Based on this, in the technical solution of the present application, the electromagnetic compatibility performance feature vector of the target analysis device is simplified based on the entropy variable quantitative analysis. First, each row vector is extracted from the electromagnetic compatibility performance diagnosis prediction parameter space of the classifier to form a row vector set. Then, the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value between the electromagnetic compatibility performance feature vector of the target analysis device and each row vector in the above row vector set is calculated to measure the uncertainty or information entropy change of the electromagnetic compatibility performance feature vector of the target analysis device under given parameters. Then, all the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values ​​are squared and summed, and then the square root is taken to obtain a comprehensive electromagnetic compatibility performance diagnosis entropy degradation modulation value, which reflects the degree of entropy change of the entire system when processing the feature vector. Finally, the electromagnetic compatibility performance characteristic vector of the target analysis equipment is adjusted according to the electromagnetic compatibility performance diagnosis entropy degradation modulation value obtained above. Specifically, the attribute set of the electromagnetic compatibility performance characteristic vector of the target analysis equipment is represented in a power series based on the entropy degradation modulation value, and a set aggregated bounded deviation represented by an aggregation radius based on each attribute value of the electromagnetic compatibility performance attribute vector of the target analysis equipment is added, so as to perform attribute selection and sparse optimization on the electromagnetic compatibility performance attribute vector of the target analysis equipment under a unified entropy degradation modulation value restriction standard, so as to ensure that the attribute vector contains sufficient data but is not too cumbersome so as to introduce unnecessary interference or redundancy.

[0058] That is, the electromagnetic compatibility performance diagnostic report of the target analysis equipment is generated by decoding the electromagnetic compatibility performance information contained in the optimized electromagnetic compatibility performance feature vector of the target analysis equipment. The electromagnetic compatibility performance diagnostic report of the target analysis equipment specifically includes the anti-interference performance evaluation results such as the voltage sag and swell resistance, transient suppression resistance, and high-frequency electromagnetic field resistance of the target analysis equipment, as well as the emission interference performance evaluation results, as well as the results of the comprehensive evaluation of the electromagnetic compatibility performance of the analysis equipment, and points out the problems of the equipment in electromagnetic compatibility, and puts forward corresponding improvement suggestions.

[0059] In summary, the electromagnetic compatibility performance diagnostic system 100 based on the embodiment of the present application is explained, which adopts the data processing technology based on natural language analysis, and obtains the electromagnetic compatibility performance diagnostic report of the target analysis device by analyzing the radiation emission experimental data, the conducted emission experimental data, the radiation immunity experimental data and the conducted interference experimental data of the target analysis device. In this way, comprehensive and automated data analysis can be achieved, which is conducive to improving the accuracy and efficiency of electromagnetic compatibility performance diagnosis.

[0060] As described above, the electromagnetic compatibility performance diagnostic system 100 according to the embodiment of the present application can be implemented in various terminal devices, such as a server for electromagnetic compatibility performance diagnosis. In one example, the electromagnetic compatibility performance diagnostic system 100 according to the embodiment of the present application can be integrated into the terminal device as a software module and / or a hardware module. For example, the electromagnetic compatibility performance diagnostic system 100 can be a software module in the operating system of the terminal device, or can be an application developed for the terminal device; of course, the electromagnetic compatibility performance diagnostic system 100 can also be one of the many hardware modules of the terminal device.

[0061] Alternatively, in another example, the electromagnetic compatibility performance diagnostic system 100 and the terminal device may also be separate devices, and the electromagnetic compatibility performance diagnostic system 100 may be connected to the terminal device via a wired and / or wireless network and transmit interactive information in accordance with an agreed data format.

[0062] Figure 5 FIG. 1 is a flow chart of an electromagnetic compatibility performance diagnostic method according to an embodiment of the present application. Figure 5 As shown, in the electromagnetic compatibility performance diagnosis method, it includes: S110, obtaining the radiation emission experimental data, conducted emission experimental data, radiation immunity experimental data and conducted immunity experimental data of the target analysis equipment; S120, pre-processing the radiation emission experimental data, conducted emission experimental data, radiation immunity experimental data and conducted immunity experimental data of the target analysis equipment to obtain the pre-processed radiation emission experimental data, pre-processed conducted emission experimental data, pre-processed radiation immunity experimental data and pre-processed conducted immunity experimental data; S130, S140, performing data analysis on the pre-processed conducted emission experimental data to obtain a characteristic vector of the emission interference performance of the target analysis equipment; S140, performing data analysis on the pre-processed radiated immunity experimental data and the pre-processed conducted immunity experimental data to obtain a characteristic vector of the anti-interference performance of the target analysis equipment; S150, fusing the characteristic vector of the emission interference performance of the target analysis equipment and the characteristic vector of the anti-interference performance of the target analysis equipment to obtain a characteristic vector of the electromagnetic compatibility performance of the target analysis equipment; S160, obtaining an electromagnetic compatibility performance diagnostic report of the target analysis equipment based on the electromagnetic compatibility performance characteristic vector of the target analysis equipment.

[0063] Here, those skilled in the art will appreciate that the specific operations of each step in the above-mentioned electromagnetic compatibility performance diagnostic method have been described in detail above. Figures 1 to 4 The electromagnetic compatibility performance diagnostic system has been described in detail, and therefore, its repeated description will be omitted.

[0064] In summary, the electromagnetic compatibility performance diagnosis method based on the embodiment of the present application is explained, which adopts the data processing technology based on natural language analysis, and obtains the electromagnetic compatibility performance diagnosis report of the target analysis device by analyzing the radiation emission test data, the conducted emission test data, the radiation immunity test data and the conducted interference test data of the target analysis device. In this way, comprehensive and automated data analysis can be achieved, which is conducive to improving the accuracy and efficiency of electromagnetic compatibility performance diagnosis.

Claims

1. An electromagnetic compatibility performance diagnostic system, characterized in that: include: The electromagnetic compatibility performance diagnosis related data acquisition module is used to obtain the radiation emission test data, conducted emission test data, radiation immunity test data and conducted immunity test data of the target analysis equipment; An electromagnetic compatibility performance diagnosis related data preprocessing module, used for preprocessing the radiation emission test data, the conducted emission test data, the radiation immunity test data and the conducted immunity test data of the target analysis equipment to obtain the preprocessed radiation emission test data, the preprocessed conducted emission test data, the preprocessed radiation immunity test data and the preprocessed conducted immunity test data; A target analysis device emission interference performance analysis module is used to perform data analysis on the pre-processed radiated emission experimental data and the pre-processed conducted emission experimental data to obtain a target analysis device emission interference performance characteristic vector; The target analysis equipment anti-interference performance analysis module is used to perform data analysis on the pre-processed radiation immunity test data and the pre-processed conducted immunity test data to obtain the target analysis equipment anti-interference performance feature vector; A target analysis device electromagnetic compatibility performance feature fusion generation module, used to fuse the target analysis device emission interference performance feature vector and the target analysis device anti-interference performance feature vector to obtain the target analysis device electromagnetic compatibility performance feature vector; The electromagnetic compatibility performance diagnosis result generating module is used to obtain the electromagnetic compatibility performance diagnosis report of the target analysis equipment based on the electromagnetic compatibility performance characteristic vector of the target analysis equipment.

2. The electromagnetic compatibility performance diagnostic system according to claim 1, characterized in that: The target analysis device transmits an interference performance analysis module, including: A radiation emission interference performance feature extraction unit, used for segmenting the pre-processed radiation emission experimental data and passing it through a radiation emission experimental data semantic encoder to obtain a radiation emission interference performance feature vector; A conducted emission interference performance feature extraction unit, used for segmenting the pre-processed conducted emission experimental data and passing it through a conducted emission experimental data semantic encoder to obtain a conducted emission interference performance feature vector; The emission interference performance feature fusion generation unit is used to fuse the radiation emission interference performance feature vector and the conduction emission interference performance feature vector to obtain the emission interference performance feature vector of the target analysis device.

3. The electromagnetic compatibility performance diagnostic system according to claim 2, characterized in that: The target analysis device anti-interference performance analysis module includes: A radiation immunity performance feature extraction unit, used for segmenting the pre-processed radiation immunity experimental data and passing it through a radiation immunity experimental data semantic encoder to obtain a radiation immunity performance feature vector; A conducted immunity performance feature extraction unit, used for segmenting the pre-processed conducted immunity experimental data and passing it through a conducted immunity experimental data semantic encoder to obtain a conducted immunity performance feature vector; The anti-interference performance feature fusion generation unit is used to fuse the radiation immunity performance feature vector and the conducted immunity performance feature vector to obtain the anti-interference performance feature vector of the target analysis device.

4. The electromagnetic compatibility performance diagnostic system according to claim 3, characterized in that: The radiated emission experiment data semantic encoder, the conducted emission experiment data semantic encoder, the radiated immunity experiment data semantic encoder, and the conducted immunity experiment data semantic encoder are converter-based semantic encoders including an embedding layer.

5. The electromagnetic compatibility performance diagnostic system according to claim 4, characterized in that: The electromagnetic compatibility performance diagnostic result generating module comprises: A target analysis device electromagnetic compatibility performance feature optimization unit, used for performing redundant feature simplification on the target analysis device electromagnetic compatibility performance feature vector based on entropy variable quantitative analysis to obtain an optimized target analysis device electromagnetic compatibility performance feature vector; The electromagnetic compatibility performance feature analysis unit of the optimized target analysis equipment is used to pass the electromagnetic compatibility performance feature vector of the optimized target analysis equipment through the electromagnetic compatibility performance diagnosis report generator to obtain a generation result, and the generation result is the electromagnetic compatibility performance diagnosis report of the target analysis equipment.

6. The electromagnetic compatibility performance diagnostic system according to claim 5, characterized in that: The target analysis equipment electromagnetic compatibility performance characteristics optimization unit comprises: A prediction parameter row vector extraction subunit, used to extract each row vector of the electromagnetic compatibility performance diagnosis prediction parameter space to obtain a set of electromagnetic compatibility performance diagnosis prediction parameter row vectors; An electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value calculation subunit, used to calculate the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation value between the electromagnetic compatibility performance characteristic vector of the target analysis equipment and each electromagnetic compatibility performance diagnosis prediction parameter row vector in the set of electromagnetic compatibility performance diagnosis prediction parameter row vectors to obtain a set of electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values; An electromagnetic compatibility performance diagnosis entropy degradation modulation value calculation subunit, used for calculating the square root of the sum of squares of the electromagnetic compatibility performance diagnosis class probability entropy degradation simulation values ​​to obtain an electromagnetic compatibility performance diagnosis entropy degradation modulation value; The target analysis device electromagnetic compatibility performance characteristic distribution modulation subunit is used to perform characteristic distribution modulation on the target analysis device electromagnetic compatibility performance characteristic vector based on the electromagnetic compatibility performance diagnosis entropy degradation modulation value to obtain the optimized target analysis device electromagnetic compatibility performance characteristic vector.

7. The electromagnetic compatibility performance diagnostic system according to claim 6, characterized in that: The electromagnetic compatibility performance diagnosis entropy degradation modulation value calculation subunit is used to: Initialize a new Spring project using Spring Boot and add dependencies to the pom.xml file in the new Spring project; Create an EMCEntropyService class in the new Spring project, wherein the EMCEntropyService class includes the calculation logic of the electromagnetic compatibility performance diagnosis entropy degradation modulation value; Create an EMCEntropyController class in the new Spring project to process HTTP requests and call methods of the EMCEntropyService class; Use Gradle to package the Spring project containing the function implementation operation into a JAR file, and deploy the JAR file to the server supported by Spring Boot.

8. An electromagnetic compatibility performance diagnostic method, characterized in that: include: Obtain the radiation emission test data, conducted emission test data, radiation immunity test data and conducted immunity test data of the target analysis equipment; Preprocessing the radiation emission test data, the conducted emission test data, the radiation immunity test data and the conducted immunity test data of the target analysis equipment respectively to obtain the preprocessed radiation emission test data, the preprocessed conducted emission test data, the preprocessed radiation immunity test data and the preprocessed conducted immunity test data; Performing data analysis on the pre-processed radiated emission experimental data and the pre-processed conducted emission experimental data to obtain a characteristic vector of emission interference performance of a target analysis device; Performing data analysis on the pre-processed radiation immunity test data and the pre-processed conducted immunity test data to obtain an anti-interference performance characteristic vector of the target analysis device; The target analysis device transmit interference performance characteristic vector and the target analysis device anti-interference performance characteristic vector are merged to obtain the target analysis device electromagnetic compatibility performance characteristic vector; Based on the electromagnetic compatibility performance characteristic vector of the target analysis device, an electromagnetic compatibility performance diagnostic report of the target analysis device is obtained.

9. The electromagnetic compatibility performance diagnostic method according to claim 8, characterized in that: The pre-processed radiation immunity test data and the pre-processed conducted immunity test data are analyzed to obtain an anti-interference performance feature vector of the target analysis equipment, including: The pre-processed radiation immunity test data is segmented and passed through a radiation immunity test data semantic encoder to obtain a radiation immunity performance feature vector; The pre-processed conducted interference immunity test data is segmented and passed through a conducted interference immunity test data semantic encoder to obtain a conducted interference immunity performance feature vector; The radiation immunity performance characteristic vector and the conducted immunity performance characteristic vector are fused to obtain the anti-interference performance characteristic vector of the target analysis device.

10. The electromagnetic compatibility performance diagnostic method according to claim 9, characterized in that: Based on the electromagnetic compatibility performance characteristic vector of the target analysis device, an electromagnetic compatibility performance diagnostic report of the target analysis device is obtained, including: Performing redundant feature simplification based on entropy variable quantitative analysis on the electromagnetic compatibility performance feature vector of the target analysis equipment to obtain an optimized electromagnetic compatibility performance feature vector of the target analysis equipment; The optimized electromagnetic compatibility performance characteristic vector of the target analysis device is passed through an electromagnetic compatibility performance diagnostic report generator to obtain a generation result, and the generation result is an electromagnetic compatibility performance diagnostic report of the target analysis device.

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