Wire quality detection method and device based on wire shielding performance

Abstract

The invention discloses a wire quality detection method based on wire shielding performance. The method comprises the following steps: acquiring electromagnetic interference source data and wire structure data; performing matrix construction operation to obtain a magnetic interference source characteristic matrix; performing matrix numerical value extraction operation to obtain a first energy influence factor and a second energy influence factor; performing interference parameter construction operation to obtain an initial interference degree sequence; performing sequence updating operation to obtain an interference degree distance sequence; performing clustering region extraction operation to obtain a sensitive shielding region; calculating to obtain a sensitive shielding factor; calculating to obtain a wire shielding quantity value; when the electric wire shielding quantity value is smaller than a preset electric wire shielding performance threshold value, judging that the shielding performance of the electric wire does not meet the requirement; and when the wire shielding quantity value is greater than or equal to a preset wire shielding performance threshold value, judging that the shielding performance of the wire meets the requirement. By combining the electromagnetic interference source and the wire structure data, the shielding performance of the wire is reflected, and the wire quality detection accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wire quality detection, and in particular to a wire quality detection method and device based on wire shielding performance. Background Art

[0002] At present, with the rapid development of science and technology, various electrical appliances play an important role in daily life. However, during use, these appliances will generate electromagnetic waves, which will cause electromagnetic interference to other surrounding appliances. Therefore, how to effectively shield electromagnetic interference has become an important research topic. The shielding efficiency of wires is one of the key factors to measure their quality, and the shielding efficiency of wires is affected by many factors, such as the material and thickness of the wire shielding layer, and the wavelength of the transmitted signal.

[0003] In one prior art, the wires to be tested are arranged in a shielded room, and the shielding effectiveness value of the wires is measured using a shielding effectiveness analyzer. The method includes two tests: first, the shielding effectiveness of the wires with signal wires and shielding wires is tested; second, the signal wires are removed and only the shielding wires are retained for testing; and the shielding efficiency of the wires is evaluated by comparing the shielding effectiveness values ​​measured twice.

[0004] In the prior art, wire quality detection is unable to comprehensively collect and analyze the electromagnetic interference source data of the wire's surrounding environment, fails to analyze the degree of influence of the electromagnetic interference source and the wire structure on the wire interference, and cannot accurately evaluate the shielding performance of the wire, thus affecting the accurate judgment of the wire quality. Summary of the invention

[0005] The present invention provides a wire quality detection method and device based on wire shielding performance, which reflects the shielding performance of the wire and improves the accuracy of wire quality detection by combining electromagnetic interference sources and wire structure data.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a wire quality detection method based on wire shielding performance, comprising:

[0007] Collect electromagnetic interference source data and wire structure data;

[0008] According to the electromagnetic interference source data, a matrix construction operation is performed to obtain a magnetic interference source characteristic matrix;

[0009] Performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor;

[0010] Performing an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence;

[0011] According to the first energy impact factor, performing a sequence update operation on the initial interference degree sequence to obtain an interference degree distance sequence;

[0012] According to the wire structure data, based on the agglomerative hierarchical clustering algorithm, a clustering region extraction operation is performed to obtain a sensitive shielding region;

[0013] Calculating according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area;

[0014] Calculating according to the interference degree distance sequence and the sensitive shielding factor to obtain the wire shielding value;

[0015] When the wire shielding value is less than the preset wire shielding performance threshold, it is determined that the shielding performance of the wire does not meet the requirements; when the wire shielding value is greater than or equal to the preset wire shielding performance threshold, it is determined that the shielding performance of the wire meets the requirements.

[0016] Preferably, performing a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix includes:

[0017] Performing a vector construction operation on the electromagnetic interference source data to obtain a first signal vector, a second signal vector, and a third signal vector;

[0018] The first signal vector, the second signal vector and the third signal vector are combined to obtain a magnetic interference source characteristic matrix.

[0019] Preferably, performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor includes:

[0020] Performing a non-negative matrix decomposition operation on the characteristic matrix of the magnetic interference source to obtain a basis matrix;

[0021] Extracting a first column value of the base matrix, and determining the first column value as a first energy impact factor;

[0022] A value of the base matrix divided by the value of the first column is extracted, and the value divided by the value of the first column is determined as a second energy impact factor.

[0023] Preferably, performing a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence includes:

[0024] Performing a difference calculation operation according to the initial interference degree sequence and the first energy impact factor to obtain a first update sequence;

[0025] Extracting values ​​greater than a preset update threshold in the first update sequence, and constructing a second update sequence from the values ​​greater than the preset update threshold;

[0026] The second update sequence is arranged in ascending order to obtain an interference degree distance sequence.

[0027] Preferably, the method of performing a clustering region extraction operation based on the wire structure data and agglomerative hierarchical clustering algorithm to obtain a sensitive shielding region includes:

[0028] Standardizing the electric wire structure data to obtain standardized electric wire structure data;

[0029] Performing a similarity calculation operation on the standardized electric wire structure data to obtain data similarity;

[0030] Based on the agglomerative hierarchical clustering algorithm, cluster analysis is performed on the standardized wire structure data according to the data similarity to obtain sensitive shielding areas.

[0031] Preferably, the calculation formula of the sensitive shielding factor is:

[0032]

[0033] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference degree distance sequence value of the sensitive shielding area; CV(F) is the coefficient of variation of the interference degree sequence.

[0034] Preferably, the calculation formula of the wire shielding value is:

[0035]

[0036] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference distance sequence value of the sensitive shielding area; f is the shielding value of the wire.

[0037] In a second aspect, the present invention provides a wire quality detection device based on wire shielding performance, comprising:

[0038] Data acquisition module, used to collect electromagnetic interference source data and wire structure data;

[0039] A matrix construction module, used to perform a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix;

[0040] An influence factor extraction module is used to perform a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy influence factor and a second energy influence factor;

[0041] An initial sequence module, used to perform an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence;

[0042] A distance sequence module, configured to perform a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence;

[0043] A region extraction module is used to perform a cluster region extraction operation based on the wire structure data and a cohesive hierarchical clustering algorithm to obtain a sensitive shielding region;

[0044] A sensitivity factor calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area;

[0045] A shielding value calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding factor to obtain the shielding value of the wire;

[0046] The performance determination module is used to determine that the shielding performance of the wire does not meet the requirements when the shielding value of the wire is less than a preset wire shielding performance threshold; and to determine that the shielding performance of the wire meets the requirements when the shielding value of the wire is greater than or equal to the preset wire shielding performance threshold.

[0047] In a third aspect, the present invention also provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for detecting wire quality based on wire shielding performance as described above is implemented.

[0048] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned wire quality detection methods based on wire shielding performance.

[0049] Compared with the prior art, the present invention combines electromagnetic interference source data and wire structure data to construct an electromagnetic interference source feature matrix and a sensitive shielding factor, which can accurately evaluate the shielding performance of wires. By constructing and updating the interference degree sequence, the sensitive shielding area of ​​the wire is effectively identified, and the accuracy of wire quality detection is improved; secondly, the present invention optimizes the updating process of the interference degree sequence. By calculating the first energy impact factor and performing a difference analysis on the initial interference degree sequence, the update threshold is set to filter out key data, ensuring that the updated interference degree sequence can more accurately reflect the shielding performance of the wire; in addition, the present invention constructs a set of wire shielding performance evaluation methods based on sensitive shielding factors and interference degree distance sequences. By comparing the shielding value of the wire with the preset shielding performance threshold, the quality of the wire can be determined; finally, the present invention uses a cohesive hierarchical clustering algorithm to process the wire structure data, combines the external interference source with the specific structural characteristics of the wire, extracts the sensitive shielding area, and improves the reliability of the detection result. At the same time, the calculation of the sensitive shielding factor simplifies the mathematical modeling process through the logarithm and the coefficient of variation, improves the calculation efficiency, and reduces the error.

[0050] In summary, the present invention reflects the shielding performance of the wire and improves the accuracy of wire quality detection by combining the electromagnetic interference source and the wire structure data. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic flow chart of a wire quality detection method based on wire shielding performance provided by a first embodiment of the present invention;

[0052] Figure 2 It is a schematic structural diagram of a wire quality detection device based on wire shielding performance provided by a second embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Reference Figure 1 The first embodiment of the present invention provides a wire quality detection method based on wire shielding performance, comprising the following steps:

[0055] S11, collecting electromagnetic interference source data and wire structure data;

[0056] S12, performing a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix;

[0057] S13, performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor;

[0058] S14, performing an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence;

[0059] S15, performing a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence;

[0060] S16, performing a clustering region extraction operation based on the wire structure data and a cohesive hierarchical clustering algorithm to obtain a sensitive shielding region;

[0061] S17, performing calculation according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area;

[0062] S18, performing calculation according to the interference degree distance sequence and the sensitive shielding factor to obtain the wire shielding value;

[0063] S19, when the shielding value of the wire is less than the preset wire shielding performance threshold, it is determined that the shielding performance of the wire does not meet the requirements; when the shielding value of the wire is greater than or equal to the preset wire shielding performance threshold, it is determined that the shielding performance of the wire meets the requirements.

[0064] In step S11, it is necessary to collect electromagnetic interference source data and wire structure data, including:

[0065] In a specific embodiment, electromagnetic interference source data refers to electromagnetic waves or electric field data in the external environment that affect the shielding performance of wires. These interference sources can come from a variety of different devices or environments, including electronic devices, such as household appliances (such as televisions, air conditioners, microwave ovens, etc.), industrial equipment (such as welding machines, motors, etc.), which will generate electromagnetic waves when working. These signals will propagate in the surrounding space and affect the shielding performance of wires; wireless communication signals, Wi-Fi routers, mobile phone signal towers, Bluetooth devices, etc., their electromagnetic wave frequency bands interfere with the working frequency of wires, affecting the anti-interference ability of wires; electromagnetic interference of power systems: electromagnetic fields released by power lines, substations and other equipment also interfere with wires, especially high-voltage and high-frequency power transmission will make the shielding layer of wires ineffective.

[0066] For example, if the wires are installed in an industrial plant and the large motors used in the plant are working, their electromagnetic radiation will affect the shielding performance of the wires. Therefore, electromagnetic interference measurement equipment (such as electric field detectors, spectrum analyzers, etc.) must be used at different locations near the wires for real-time monitoring. These devices can measure the intensity, frequency, and waveform characteristics of the interference signal to obtain interference source data.

[0067] In a specific embodiment, the wire structure data refers to the geometric characteristics and electrical characteristics of the wire itself, and these structural parameters directly affect the wire's resistance to electromagnetic interference. The wire structure data includes the geometric dimensions of the wire, such as the diameter of the wire, the thickness of the shielding layer, the spacing between the wires, etc. For example, the thickness of the shielding layer of the coaxial cable has an important influence on its anti-interference ability, and a thicker shielding layer can more effectively block external interference; material composition, the material selection of the conductor, insulation layer and shielding layer of the wire will affect the electromagnetic shielding effect of the wire. For example, wires with copper and aluminum as conductors have different electrical conductivities, copper wires can provide better electrical conductivity, while aluminum wires are lighter, but their shielding effect is relatively poor; electrical characteristics, including the impedance, conductivity, loss factor, etc. of the wire. These characteristics determine the immunity of the wire to external electromagnetic interference during signal transmission. For example, if the impedance characteristics of the wire are not designed to match, it will cause signal reflection and increase the impact of electromagnetic interference.

[0068] For example, for a coaxial cable, the shielding layer of the wire is composed of aluminum foil or copper braid. If the cable structure is not designed properly, the thickness of the shielding layer is too thin, or the distance between the conductor and the shielding layer is too large, the external electromagnetic waves will penetrate the shielding layer into the cable, affecting the signal transmission quality. Therefore, by collecting the structural data of the wire, including the thickness of the shielding layer, the material, the relative position of the conductor and the shielding layer, etc., its anti-interference performance can be evaluated.

[0069] Specifically, electromagnetic interference signals in the surrounding environment can be collected by using electromagnetic interference sensors (such as near-field detectors, spectrum analyzers, etc.). These sensors can be arranged at different locations to record key data such as electromagnetic field strength and frequency distribution; digital measuring instruments or CAD models can be used to obtain the physical structure data of the wires, specifically, the geometric parameters of the wires can be modeled through computer-aided design (CAD) software, or the actual size of the wires can be measured through special instruments (such as calipers, micrometers, etc.).

[0070] In step S12, a matrix construction operation needs to be performed according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix, including:

[0071] In a specific embodiment, electromagnetic interference source data has been collected and recorded in different signal forms. Assuming that interference signal data has been collected from multiple locations (such as power equipment, wireless communication equipment, etc.), the data of each interference source contains multiple parameters, such as signal strength, frequency, waveform characteristics, etc. For example, the following types of electromagnetic interference source data are obtained, signal strength (such as: electric field strength, current strength, etc.), frequency range of the interference source, and time domain or frequency domain characteristics of the electromagnetic waveform.

[0072] Next, based on the collected electromagnetic interference source data, each interference source signal needs to be processed and converted into a vector form. The purpose of this is to make the data have a structured format to facilitate matrix construction and subsequent analysis.

[0073] Specifically, the signal amplitudes (such as electric field strength, magnetic field strength) of all interference sources are extracted and organized into vectors according to different interference source numbers. For example, suppose there are three interference sources, and their signal strength data are: interference source 1, signal strength is [12, 15, 20, 10] (each item represents the signal strength of the interference source at different time or spatial positions), interference source 2, signal strength is [9, 10, 15, 8], interference source 3: signal strength is [6, 8, 12, 7]. Therefore, the first signal vector can be expressed as: first signal vector = [12, 15, 20, 10], second signal vector = [9, 10, 15, 8], third signal vector = [6, 8, 12, 7]

[0074] Specifically, the frequency characteristics of each interference source are extracted, assuming that each interference source has a set of main frequency values. These frequency values ​​are used to form a second signal vector according to the interference source. For example, the frequency data of the interference source are: interference source 1, frequency is [50Hz, 60Hz, 70Hz], interference source 2, frequency is [100Hz, 110Hz, 120Hz], interference source 3, frequency is [30Hz, 40Hz, 50Hz], therefore, the second signal vector is: second signal vector = [50, 60, 70], second signal vector = [100, 110, 120], second signal vector = [30, 40, 50]

[0075] Specifically, extract the time domain or frequency domain features of the interference source signal, perform Fourier transform or other time domain analysis on the waveform of the signal, and obtain a feature vector. For example: Interference source 1, time domain feature value is [0.2, 0.3, 0.4], Interference source 2, time domain feature value is [0.1, 0.2, 0.5], Interference source 3: time domain feature value is [0.3, 0.1, 0.2], therefore, the third signal vector is: third signal vector = [0.2, 0.3, 0.4], third signal vector = [0.1, 0.2, 0.5], third signal vector = [0.3, 0.1, 0.2]

[0076] Specifically, after obtaining the first, second, and third signal vectors, they are merged into an overall matrix to form a magnetic interference source feature matrix. The purpose of matrix construction is to structure the multi-dimensional data (amplitude, frequency, time domain characteristics, etc.) of the interference source into a form that is easy to calculate and process.

[0077] In a specific embodiment, it is assumed that each signal vector is arranged as a column vector of a matrix, and finally the following magnetic interference source characteristic matrix X is obtained:

[0078]

[0079] It should be noted that each row of the matrix corresponds to a signal feature of an interference source, and each column represents a different type of signal feature. In a specific embodiment, the first column represents the amplitude (signal strength) of each interference source, the second column represents the frequency of each interference source, and the third column represents the time domain or frequency domain features of each interference source.

[0080] In step S13, it is necessary to perform a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor, including:

[0081] In a specific embodiment, non-negative matrix factorization (NMF) is a technique for decomposing a non-negative matrix into two low-rank non-negative matrices. In the steps of the present invention, NMF can extract factors reflecting the characteristics of the interference source from the magnetic interference source feature matrix. Through decomposition, the potential pattern of the electromagnetic interference source signal can be identified and its impact on the shielding performance of the wire can be calculated.

[0082] For example, assuming that the characteristic matrix of the magnetic interference source is XX, it is decomposed into two non-negative matrices WW and HH:

[0083] X=W·H

[0084] Among them, X is the characteristic matrix of the magnetic interference source, W is the basis matrix, and H is the coefficient matrix.

[0085] Specifically, it is assumed that the magnetic interference source characteristic matrix X is the following matrix:

[0086]

[0087] Apply a non-negative matrix factorization algorithm (such as ALS, gradient descent, etc.) to decompose the matrix XX to obtain two non-negative matrices W and H. For example, the decomposed matrices W and H are as follows:

[0088]

[0089] Specifically, the matrix W is the base matrix, which contains some potential factors for the interference source signal; the matrix H is the coefficient matrix, which represents the contribution of each gene in the original matrix.

[0090] Next, extract the first column of data from the base matrix W as the first energy impact factor. This step is to map the information after the original interference source feature matrix is ​​decomposed back to the factors related to the electromagnetic interference intensity in a physical sense. For example, assuming that the first column of the base matrix W is: W 1 =[0.5, 0.6, 0.7, 0.4, 0.3, 0.4, 0.6, 0.3, 0.2, 0.3, 0.5, 0.2], the column is extracted and determined as the first energy impact factor, which represents the impact factor related to the amplitude or intensity of the interference source.

[0091] In a specific embodiment, for the second energy impact factor, it is necessary to extract other column data except the first column from the base matrix W. These column data represent other impact factors of the electromagnetic interference source, such as frequency, time domain characteristics, etc. Therefore, the second column, the third column (and more columns) are extracted from the matrix W, and they are combined or processed into the second energy impact factor. For example, the second column and the third column of the base matrix W are respectively:

[0092] W 2 =[0.3,0.4,0.5,0.3,0.1,0.2,0.5,0.4,0.1,0.3,0.4,0.3] and

[0093] W 3 =[0.1, 0.2, 0.3, 0.2, 0.4, 0.3, 0.2, 0.3, 0.5, 0.2, 0.1, 0.4], these columns can be combined (for example, taking the weighted average, the maximum value, etc.) to form the second energy impact factor. Assume that the second energy impact factor after the combination is: W 2,3 =[0.3,0.35,0.4,0.3,0.25,0.25,0.35,0.3,0.25,0.3,0.3,0.3]

[0094] It should be noted that the first energy impact factor mainly reflects the main impact of the electromagnetic interference source on the shielding performance of the wire. Among the characteristics of the electromagnetic interference source, there are some main interference modes or impact factors.

[0095] This factor is closely related to the amplitude, frequency and other related characteristics of the interference source, so it can help quantify the direct impact of the interference source on the shielding of the wire. For example, a strong electromagnetic interference source will result in a large (e.g. 1.4) first energy impact factor value, which reflects that the shielding performance of the wire in this environment does not meet the requirements; the second energy impact factor reflects the secondary impact factors of the electromagnetic interference source by extracting data from other columns except the first column from the base matrix. The impact of the electromagnetic interference source is not only manifested in intensity or amplitude, but also involves secondary characteristics such as frequency and time variation. These secondary characteristics help to further reveal the shielding performance of the wire. For example, although some interference sources are small in amplitude (0.2), they will have a strong radiation effect on the wire when the frequency is high (2kHz); the second energy impact factor supplements the interference information that the first energy impact factor fails to fully cover. For example, in some situations, the frequency and time-varying characteristics of the interference source have an important impact on the shielding performance, and these characteristics will not be fully reflected in the first energy impact factor. By introducing the second energy impact factor, the evaluation of shielding performance can be made more comprehensive and accurate.

[0096] In step S14, it is necessary to perform an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence, including:

[0097] In a specific embodiment, the initial interference degree sequence is an indicator for measuring the impact of electromagnetic interference sources on the shielding performance of electric wires.

[0098] The interference degree sequence can be calculated by the following formula:

[0099] D i =|E 1 -E 2 |×D s

[0100] Among them, D i represents the interference degree of the i-th interference source; E 1 Represents the first energy impact factor; E 2 Denotes the second energy impact factor; D s Represents electromagnetic interference source data (such as signal strength).

[0101] Exemplarily, for each electromagnetic interference source, according to its corresponding first energy impact factor, second energy impact factor and interference source data, it is assumed that there are three interference source data:

[0102] Interference source 1: First energy impact factor E 1 =5.0, the second energy impact factor E 2 =3.0, electromagnetic interference source data D s =2.5

[0103] D 1 =|5.0-3.0|×2.5=2.0×2.5=5.0

[0104] Interference source 2: First energy impact factor E 1 =4.0, the second energy impact factor E 2 =3.5, electromagnetic interference source data D s =3.0

[0105] D 2 =|4.0-3.5|×1.5=0.5×1.5=0.75

[0106] Interference source 3: First energy impact factor E 1 =6.0, the second energy impact factor E 2 =2.0, electromagnetic interference source data D s =3.0

[0107] D 3 =|6.0-2.0|×3.0=4.0×3.0=12.0

[0108] Next, arrange the interference values ​​of all interference sources in order to obtain the interference sequence:

[0109] Interference degree sequence = [D 1 ,D 2 ,D 3 ]=[5.0,0.75,12.0]

[0110] In step S15, it is necessary to perform a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence, including:

[0111] In a specific embodiment, the preset update threshold (T thresh ) is set to filter out the interference source values ​​that have an impact on the interference calculation. In practical applications, the setting of this threshold is based on statistical methods. Through statistical analysis of the initial interference sequence (such as variance, standard deviation, etc.), the threshold is set according to the distribution characteristics of the data. For example, you can choose "the mean of the initial interference sequence plus a multiple of the standard deviation" as the threshold to ensure that the interference source screened out is an abnormal or extreme value.

[0112] For example, assuming that the mean of the first update sequence is μ=0.5 and the standard deviation is σ=1.2, the update threshold T can be set as thresh =μ+2·σ=0.5+2·1.2=2.0. The function of updating the threshold is to filter out the data items that have a greater impact on the interference sequence.

[0113] In a specific embodiment, the first update sequence is obtained by calculating the difference between the initial interference degree sequence and the first energy impact factor. The sequence reflects the potential impact of each interference source on the wire shielding performance, especially the changing relationship between the interference source and the wire shielding performance.

[0114] For example, D 1 =5.0 and E 1 =3.0, the first item of the first update sequence is Δ 1 =5.0-3.0=2.0, for D 2 =1.5 and E 1 =3.0, the second term of the first update sequence is Δ 2 =1.5-3.0=-1.5, the first update sequence is used to provide basic data for further screening and sorting operations. The larger the value in this sequence (9.0), the greater the impact of the interference source, and vice versa.

[0115] In a specific embodiment, the second update sequence is obtained by filtering out items greater than a preset update threshold from the first update sequence and retaining the interference source impact data. The purpose of this step is to remove noise and irrelevant interference, ensuring that subsequent steps focus on interference sources that truly affect the wire shielding performance.

[0116] For example, it is assumed that the preset update threshold T thresh =1.0, then the second update sequence selected from the first update sequence is: the second update sequence is [2.0, -1.5, 3.0]. The second update sequence focuses on processing interference sources that affect the shielding performance of the wires, further improving the efficiency and accuracy of data analysis.

[0117] In a specific embodiment, the interference degree distance sequence is the result of the ascending arrangement of the second update sequence, reflecting the result of sorting the interference sources according to their influence. By sorting the influence of the interference sources, it is possible to intuitively understand which interference sources have the greatest influence on the shielding performance of the wire, which is convenient for further analysis and decision-making.

[0118] Assuming that the second update sequence is [2.0, -1.5, 3.0], after being sorted in ascending order, the interference distance sequence is [-1.5, 2.0, 3.0]. The interference distance sequence is sorted in ascending order to put the interference sources with less impact in the front and the interference sources with greater impact in the back. This sorting helps to further screen or optimize the shielding performance in the wire design.

[0119] In step S16, it is necessary to perform a clustering region extraction operation based on the wire structure data and a cohesive hierarchical clustering algorithm to obtain sensitive shielding regions, including:

[0120] First, the wire structure data needs to be standardized. The main purpose of standardization is to eliminate the dimensional differences between different features, so that the values ​​of each feature are on the same scale, thereby avoiding some features from having too much impact on the analysis results due to a large numerical range or different units. Through standardization, different features in the data can fairly participate in distance calculation or cluster analysis, improving the accuracy and convergence speed of the model, especially when multiple features are involved, which can make the algorithm more focused on the actual differences between features, reduce the impact of outliers, and improve the stability and reliability of the final results.

[0121] Specifically, for each characteristic value of the wire (for example, wire core radius, shielding layer thickness, etc.), its mean and standard deviation are calculated and converted into standardized values. The standardized formula is:

[0122]

[0123] Among them, C is the wire structure data; C ave is the mean of the feature; C σ is the standard deviation of the feature.

[0124] It should be noted that the parameters such as core radius, insulation layer thickness and shielding layer thickness are the key features of the wire structure. After standardization, their contributions at different scales are balanced, avoiding the excessive influence of certain features on the clustering results due to dimensionality issues.

[0125] Next, based on the standardized wire structure data, the similarity between the data points is calculated. This step helps determine which samples are similar in wire structure by calculating the similarity between samples, so as to perform clustering. The present invention calculates the direct spatial distance between wire structure data samples by the Euclidean distance method. The Euclidean distance method is applicable to data with numerical characteristics, such as wire core radius, insulation layer thickness, etc. The calculation formula of the spatial distance is:

[0126]

[0127] Among them, d ij is the Euclidean distance between sample i and sample j, x ik and x jk is the kth feature of sample i and sample j.

[0128] In a specific embodiment, the wire samples are first standardized to ensure that the different parameters of each wire structure (such as wire diameter, shielding layer thickness, insulation material density, etc.) have the same dimension. During the standardization process, each parameter is subtracted from its mean and divided by the standard deviation, so that the units of all parameters are consistent and the influence of different dimensions is eliminated. Next, the similarity between the wire samples is calculated, and the Euclidean distance is used as a measure of the difference between the samples. The Euclidean distance calculation formula is the square root of the sum of the squares of the differences in each feature dimension. According to the calculated similarity matrix, the smaller the value, the higher the similarity between the wire samples, and the larger the value, the greater the difference between the wire samples. Generally speaking, a similarity value of 0 to 0.5 indicates that the samples are very similar, a value between 0.5 and 0.8 indicates similarity, and a value above 0.8 indicates a large difference.

[0129] Next, the agglomerative hierarchical clustering algorithm is applied for cluster analysis. In the initial stage of the algorithm, each wire sample is regarded as an independent cluster. According to the similarity matrix, the similarity between clusters is calculated by the single chain method (shortest distance method), the complete chain method (longest distance method) or the average distance method. For example, when the single chain method is used, each time two clusters are merged, the shortest distance between them is calculated, and the two clusters with the highest similarity (smallest value) are selected for merging. After each merge, the similarity between the merged clusters and other clusters is recalculated, and the process is continued to iterate until all wire samples are clustered into a large cluster. In this process, when the similarity is large (such as above 0.8), it means that the difference between the two clusters is large, and special attention should be paid when merging to prevent excessive merging from causing information loss.

[0130] Through this process, multiple clusters of wire structures can be obtained in the end, and each cluster represents an area with similar shielding performance characteristics. Among these clusters, some clusters show areas with large differences in shielding performance, and these areas are sensitive shielding areas. For example, the wire shielding layer in some areas shows thin (less than 1 mm) or irregular (thickness fluctuations exceed 20%) characteristics. The electromagnetic shielding performance of these areas is relatively weak, resulting in the inability to effectively isolate electromagnetic interference, and therefore has a higher sensitivity. Cluster analysis can identify these sensitive shielding areas and provide an important basis for wire design and optimization.

[0131] What is needed is that the sensitive shielding area is the part of the wire shielding performance that is most easily affected. For example, if the shielding layer in some areas is too thin, or the metal layer of the cable is uneven, the interference in these areas will affect the overall electromagnetic shielding ability of the wire. For example, assuming the following standardized wire structure data (assuming that the data has been standardized), the wire core radius of sample 1 is -0.3, the insulation layer thickness is 0.5, and the shielding layer thickness is 1.0; the wire core radius of sample 2 is -0.2, the insulation layer thickness is 0.6, and the shielding layer thickness is 1.1; the wire core radius of sample 3 is 1.1, the insulation layer thickness is -0.4, and the shielding layer thickness is -1.2; the wire core radius of sample 1 is 1.1, the insulation layer thickness is -0.4, and the shielding layer thickness is -1.2; the wire core radius of sample 4 is 0.9, the insulation layer thickness is -0.3, and the shielding layer thickness is -1.0. Through similarity calculation, the Euclidean distance between all samples is calculated to obtain a similarity matrix; cluster analysis is performed, and agglomerative hierarchical clustering algorithm is used to perform clustering based on the calculated similarity matrix. Assume that two clusters are finally obtained, cluster 1 is samples 1 and 2; cluster 2 is samples 3 and 4; then, sensitive shielding area extraction is performed. According to the clustering results, the samples in cluster 2 are analyzed and it is found that the shielding layer thickness of these samples is small, and the sensitive areas are easily affected by electromagnetic interference.

[0132] In step S17, it is necessary to perform calculations based on the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area, including:

[0133] In a specific embodiment, the sensitive shielding factor is a comprehensive indicator used to indicate the sensitivity of various areas in the wire to electromagnetic interference. The calculation of this factor can help identify areas with poor shielding performance in the wire structure. These areas will show problems such as thinner shielding layers, uneven materials, irregular structures, etc., and are easily affected by external electromagnetic interference.

[0134] In a specific embodiment, the coefficient of variation (CV) is an indicator that describes the degree of data dispersion and is used to quantify the degree of dispersion of the interference sequence. It is the ratio of the standard deviation to the mean, and can reflect the relative degree of variation of the data. Specifically, the coefficient of variation (CV) is used to measure the degree of fluctuation of the interference sequence, and the specific calculation method is as follows:

[0135]

[0136] Among them, σ(F) is the standard deviation of the interference sequence, μ(F) is the mean of the interference sequence. The standard deviation is the square root of the sum of the squares of the differences between all interference data and the mean, and the mean is the average of all interference data.

[0137] It should be noted that the calculation of the mean μ(F) of the interference sequence is specifically to sum all the values ​​in the interference sequence and divide by the number of sequences; the calculation of the standard deviation σ(F) of the interference sequence is specifically to first calculate the difference between each value in the interference sequence and the mean, square these differences and sum them, and then take the square root to obtain the standard deviation.

[0138] In a specific embodiment, the sensitive shielding factor is calculated by taking the logarithm of the interference distance sequence values ​​of all sensitive shielding areas, summing them up, and then dividing them by the coefficient of variation to obtain the final result. The calculation formula of the sensitive shielding factor is:

[0139]

[0140] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference degree distance sequence value of the sensitive shielding area; CV(F) is the coefficient of variation of the interference degree sequence.

[0141] It should be noted that the calculated sensitive shielding factor is used to identify which areas in the wire structure have the most sensitive shielding performance and which areas cannot effectively isolate interference sources due to electromagnetic interference.

[0142] In step S18, it is necessary to calculate according to the interference degree distance sequence and the sensitive shielding factor to obtain the wire shielding value, including:

[0143] In a specific embodiment, the shielding value (f) of the wire reflects the protection capability of the wire against electromagnetic interference. The larger the value (e.g., 15.1), the better the shielding effect of the wire is, and the electromagnetic interference can be effectively isolated; the smaller the value (e.g., 1.2), the poorer the shielding effect of the wire is, and the wire is easily affected by interference.

[0144] Specifically, the calculation formula of the wire shielding value is:

[0145]

[0146] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference distance sequence value of the sensitive shielding area; f is the shielding value of the wire.

[0147] In step S19, when the shielding value of the wire is less than the preset wire shielding performance threshold, it is determined that the shielding performance of the wire does not meet the requirements; when the shielding value of the wire is greater than or equal to the preset wire shielding performance threshold, it is determined that the shielding performance of the wire meets the requirements, including:

[0148] In a specific embodiment, the preset wire shielding performance threshold is a standard value set according to factors such as the working environment, usage requirements, and industry standards of the wire. Specifically, the preset wire shielding performance threshold is set to take into account the electromagnetic environment category, that is, the electromagnetic environment in which the wire is located affects the shielding performance required. For example, in a high-noise environment (such as an industrial environment, a data center, etc.), a higher shielding capability is required. On the contrary, in a low-noise environment (such as household electrical equipment or communication lines), a lower shielding performance is required; considering the application scenario, different wire application scenarios have different requirements for shielding capabilities. For example, medical equipment, power transmission lines, high-frequency communication lines and other fields have extremely low tolerance for electromagnetic interference, so their shielding performance requirements are relatively high.

[0149] Exemplarily, first, it is necessary to collect information on the application scenarios and working environment of the target wires, and then select a suitable shielding performance evaluation method. The shielding performance can be evaluated by indicators such as the conduction loss, reflection loss, external electric field, and internal current of the wires. For specific wire designs, "Electromagnetic Shielding Effectiveness" (ESE) is selected as the main evaluation criterion. The measurement standard of ESE refers to the ability of the shielding layer of a wire or cable to block the propagation of electromagnetic waves, measured in decibels (dB). For example, if the ESE value is 60dB, it means that the wire shields approximately 99.9999% of electromagnetic waves. According to the environment, application scenarios and standard specifications, combined with the ESE value or other measurement indicators, set the shielding performance threshold. For low electromagnetic interference environments, such as household electrical equipment and low-frequency power transmission. The preset threshold can be 30-40dB, that is, the wire needs to effectively isolate external electromagnetic interference within the range of 30-40dB, for medium electromagnetic interference environments, such as office environments and data communication lines. The preset threshold can be 40-60dB. For high electromagnetic interference environments, such as industrial environments, medical equipment, and high-frequency communication lines, the preset threshold can be 60-80dB, which requires stronger wire shielding capabilities to effectively isolate high-intensity electromagnetic interference.

[0150] Exemplarily, the calculated wire shielding value is compared with a set preset wire shielding performance threshold.

[0151] According to the relationship between the wire shielding value and the threshold, the following judgment operation is performed: when the wire shielding value is less than the preset wire shielding performance threshold, that is, the wire shielding value is less than the threshold, it is determined that the wire shielding performance does not meet the requirements, indicating that the wire's anti-interference ability is insufficient and cannot effectively shield electromagnetic interference. In this case, it is necessary to redesign the wire structure, add a shielding layer or improve the shielding effect of the wire; when the wire shielding value is greater than or equal to the preset wire shielding performance threshold, that is, the wire shielding value is greater than or equal to the threshold, it is determined that the wire shielding performance meets the requirements, indicating that the wire can effectively resist electromagnetic interference and is suitable for a specific electromagnetic environment.

[0152] In summary, the present invention can accurately evaluate the shielding performance of the wire by combining the electromagnetic interference source data and the wire structure data to construct the electromagnetic interference source feature matrix and the sensitive shielding factor. By constructing and updating the interference degree sequence, the sensitive shielding area of ​​the wire is effectively identified, and the accuracy of the wire quality detection is improved; secondly, the present invention optimizes the update process of the interference degree sequence. By calculating the first energy impact factor and performing a difference analysis on the initial interference degree sequence, the update threshold is set to filter out the key data, ensuring that the updated interference degree sequence can more accurately reflect the shielding performance of the wire; in addition, the present invention constructs a set of wire shielding performance evaluation methods based on sensitive shielding factors and interference degree distance sequences. By comparing the shielding value of the wire with the preset shielding performance threshold, the quality of the wire can be determined; finally, the present invention uses a cohesive hierarchical clustering algorithm to process the wire structure data, combines the external interference source with the specific structural characteristics of the wire, extracts the sensitive shielding area, and improves the reliability of the detection result. At the same time, the calculation of the sensitive shielding factor simplifies the mathematical modeling process through the logarithm and the coefficient of variation, improves the calculation efficiency, and reduces the error. By combining the electromagnetic interference source and the wire structure data, the shielding performance of the wire is reflected, and the accuracy of the wire quality detection is improved.

[0153] Reference Figure 2 The second embodiment of the present invention provides a wire quality detection device based on wire shielding performance, comprising:

[0154] Data acquisition module, used to collect electromagnetic interference source data and wire structure data;

[0155] A matrix construction module, used to perform a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix;

[0156] An influence factor extraction module is used to perform a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy influence factor and a second energy influence factor;

[0157] An initial sequence module, used to perform an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence;

[0158] A distance sequence module, configured to perform a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence;

[0159] A region extraction module is used to perform a cluster region extraction operation based on the wire structure data and a cohesive hierarchical clustering algorithm to obtain a sensitive shielding region;

[0160] A sensitivity factor calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area;

[0161] A shielding value calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding factor to obtain the shielding value of the wire;

[0162] The performance determination module is used to determine that the shielding performance of the wire does not meet the requirements when the shielding value of the wire is less than a preset wire shielding performance threshold; and to determine that the shielding performance of the wire meets the requirements when the shielding value of the wire is greater than or equal to the preset wire shielding performance threshold.

[0163] Preferably, the data acquisition module is specifically used to collect electromagnetic interference source data and wire structure data.

[0164] Preferably, the matrix construction module is specifically used to perform a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix, including:

[0165] The matrix construction operation is performed according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix, including:

[0166] Performing a vector construction operation on the electromagnetic interference source data to obtain a first signal vector, a second signal vector, and a third signal vector;

[0167] The first signal vector, the second signal vector and the third signal vector are combined to obtain a magnetic interference source characteristic matrix.

[0168] Preferably, the impact factor extraction module is specifically used to perform a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor, including:

[0169] Performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor includes:

[0170] Performing a non-negative matrix decomposition operation on the characteristic matrix of the magnetic interference source to obtain a basis matrix;

[0171] Extracting a first column value of the base matrix, and determining the first column value as a first energy impact factor;

[0172] A value of the base matrix divided by the value of the first column is extracted, and the value divided by the value of the first column is determined as a second energy impact factor.

[0173] Preferably, the initial sequence module is specifically used to perform an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence.

[0174] Preferably, the distance sequence module is specifically configured to perform a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence;

[0175] The performing a sequence updating operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence includes:

[0176] Performing a difference calculation operation according to the initial interference degree sequence and the first energy impact factor to obtain a first update sequence;

[0177] Extracting values ​​greater than a preset update threshold in the first update sequence, and constructing a second update sequence from the values ​​greater than the preset update threshold;

[0178] The second update sequence is arranged in ascending order to obtain an interference degree distance sequence.

[0179] Preferably, the region extraction module is specifically used to perform a cluster region extraction operation based on the wire structure data and agglomerative hierarchical clustering algorithm to obtain a sensitive shielding region, including:

[0180] The method of performing a clustering region extraction operation based on the wire structure data and agglomerative hierarchical clustering algorithm to obtain a sensitive shielding region includes:

[0181] Standardizing the electric wire structure data to obtain standardized electric wire structure data;

[0182] Performing a similarity calculation operation on the standardized electric wire structure data to obtain data similarity;

[0183] Based on the agglomerative hierarchical clustering algorithm, cluster analysis is performed on the standardized wire structure data according to the data similarity to obtain sensitive shielding areas.

[0184] Preferably, the sensitivity factor calculation module is specifically used to calculate according to the interference degree distance sequence and the sensitive shielding area to obtain the sensitive shielding factor corresponding to the sensitive shielding area, including:

[0185] The calculation formula of the sensitive shielding factor is:

[0186]

[0187] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference degree distance sequence value of the sensitive shielding area; CV(F) is the coefficient of variation of the interference degree sequence.

[0188] Preferably, the shielding value calculation module is specifically used to calculate according to the interference degree distance sequence and the sensitive shielding factor to obtain the wire shielding value, including:

[0189] The calculation formula of the wire shielding value is:

[0190]

[0191] Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference distance sequence value of the sensitive shielding area; f is the shielding value of the wire.

[0192] Preferably, the performance judgment module is specifically used to judge that the shielding performance of the wire does not meet the requirements when the shielding value of the wire is less than a preset wire shielding performance threshold; when the shielding value of the wire is greater than or equal to the preset wire shielding performance threshold, it is used to judge that the shielding performance of the wire meets the requirements.

[0193] It should be noted that the wire quality detection device based on the wire shielding performance provided in an embodiment of the present invention is used to execute all the process steps of the wire quality detection method based on the wire shielding performance of the above embodiment. The working principles and beneficial effects of the two correspond one to one, and therefore will not be repeated here.

[0194] An embodiment of the present invention further provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a wire quality detection program based on wire shielding performance. When the processor executes the computer program, the steps in the above-mentioned wire quality detection method embodiments based on wire shielding performance are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are realized, such as the data acquisition module.

[0195] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0196] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0197] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0198] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0199] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0200] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0201] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A wire quality detection method based on wire shielding performance, characterized in that include: Collect electromagnetic interference source data and wire structure data; According to the electromagnetic interference source data, a matrix construction operation is performed to obtain a magnetic interference source characteristic matrix; Performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor; Performing an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence; According to the first energy impact factor, performing a sequence update operation on the initial interference degree sequence to obtain an interference degree distance sequence; According to the wire structure data, based on the agglomerative hierarchical clustering algorithm, a clustering region extraction operation is performed to obtain a sensitive shielding region; Calculating according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area; Calculating according to the interference degree distance sequence and the sensitive shielding factor to obtain the wire shielding value; When the wire shielding value is less than the preset wire shielding performance threshold, it is determined that the shielding performance of the wire does not meet the requirements; When the wire shielding value is greater than or equal to a preset wire shielding performance threshold, it is determined that the shielding performance of the wire meets the requirements.

2. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: The matrix construction operation is performed according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix, including: Performing a vector construction operation on the electromagnetic interference source data to obtain a first signal vector, a second signal vector, and a third signal vector; The first signal vector, the second signal vector and the third signal vector are combined to obtain a magnetic interference source characteristic matrix.

3. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: Performing a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy impact factor and a second energy impact factor includes: Performing a non-negative matrix decomposition operation on the characteristic matrix of the magnetic interference source to obtain a basis matrix; Extracting a first column value of the base matrix, and determining the first column value as a first energy impact factor; A value of the base matrix divided by the value of the first column is extracted, and the value divided by the value of the first column is determined as a second energy impact factor.

4. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: The performing a sequence updating operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence includes: Performing a difference calculation operation according to the initial interference degree sequence and the first energy impact factor to obtain a first update sequence; Extracting values ​​greater than a preset update threshold in the first update sequence, and constructing a second update sequence from the values ​​greater than the preset update threshold; The second update sequence is arranged in ascending order to obtain an interference degree distance sequence.

5. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: The method of performing a clustering region extraction operation based on the wire structure data and agglomerative hierarchical clustering algorithm to obtain a sensitive shielding region includes: Standardizing the electric wire structure data to obtain standardized electric wire structure data; Performing a similarity calculation operation on the standardized electric wire structure data to obtain data similarity; Based on the agglomerative hierarchical clustering algorithm, cluster analysis is performed on the standardized wire structure data according to the data similarity to obtain sensitive shielding areas.

6. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: The calculation formula of the sensitive shielding factor is: Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference degree distance sequence value of the sensitive shielding area; CV(F) is the coefficient of variation of the interference degree sequence.

7. The wire quality detection method based on wire shielding performance according to claim 1, characterized in that: The calculation formula of the wire shielding value is: Where r is the sensitive shielding factor; n is the number of sensitive shielding areas; F i is the i-th interference degree distance sequence value of the sensitive shielding area; f is the shielding value of the wire.

8. A wire quality detection device based on wire shielding performance, characterized in that: include: Data acquisition module, used to collect electromagnetic interference source data and wire structure data; A matrix construction module, used to perform a matrix construction operation according to the electromagnetic interference source data to obtain a magnetic interference source characteristic matrix; An influence factor extraction module is used to perform a matrix numerical extraction operation on the magnetic interference source characteristic matrix to obtain a first energy influence factor and a second energy influence factor; An initial sequence module, used to perform an interference parameter construction operation according to the first energy impact factor, the second energy impact factor and the electromagnetic interference source data to obtain an initial interference degree sequence; A distance sequence module, configured to perform a sequence update operation on the initial interference degree sequence according to the first energy impact factor to obtain an interference degree distance sequence; A region extraction module is used to perform a cluster region extraction operation based on the wire structure data and a cohesive hierarchical clustering algorithm to obtain a sensitive shielding region; A sensitivity factor calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding area to obtain a sensitive shielding factor corresponding to the sensitive shielding area; A shielding value calculation module, used to calculate according to the interference degree distance sequence and the sensitive shielding factor to obtain the shielding value of the wire; A performance determination module, used for determining that the shielding performance of the wire does not meet the requirements when the shielding value of the wire is less than a preset wire shielding performance threshold; When the wire shielding value is greater than or equal to a preset wire shielding performance threshold, it is determined that the shielding performance of the wire meets the requirements.

9. An electronic device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the wire quality detection method based on the wire shielding performance as claimed in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the wire quality detection method based on wire shielding performance as described in any one of claims 1 to 7.

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