Electromagnetic component performance analysis method, device, equipment, medium and product

Abstract

The invention relates to an electromagnetic component performance analysis method and device, equipment, a medium and a product, and the method comprises the steps: constructing a judgment matrix according to the relative importance degree of a plurality of quantitative indexes affecting the performance of a to-be-analyzed electromagnetic component; the to-be-analyzed electromagnetic components comprise a plurality of electromagnetic components in the target substation; determining a weight matrix corresponding to each quantitative index according to the value of each element in the judgment matrix; determining a membership matrix corresponding to each quantitative index according to the membership between each quantitative index and a preset quantitative level; determining a comprehensive quantization matrix according to the weight matrix and the membership matrix; each element value in the comprehensive quantization matrix represents an electromagnetic protection level quantization value corresponding to the to-be-analyzed electromagnetic component. By adopting the method, the accuracy and reliability of a final electromagnetic component performance analysis result can be improved, and a scientific basis is provided for operation management, equipment type selection and the like of a transformer substation.

Description

Technical Field

[0001] This application relates to the technical field of substations, and in particular to a method, apparatus, equipment, medium, and product for analyzing the performance of electromagnetic components. Background Technology

[0002] Electromagnetic interference (EMI) events commonly occur in power systems, including those caused by switching operations, lightning strikes, radiated electromagnetic fields, and power frequency magnetic fields. These EMI events can lead to malfunctions in automated equipment and protective devices in the power grid, and may even cause system failures. Therefore, it is necessary to reliably assess the EMI immunity of intelligent components in substations to reduce losses caused by EMI.

[0003] In traditional technologies, intelligent components are typically subjected to interference tests based on existing general standards for static or steady-state electromagnetic environments, and the electromagnetic protection level of the intelligent components is evaluated based on the test results.

[0004] However, the above testing methods result in low reliability of the electromagnetic protection level evaluation results for smart components. Summary of the Invention

[0005] Therefore, it is necessary to provide an electromagnetic component performance analysis method, apparatus, computer equipment, computer-readable storage medium, and computer program product to address the aforementioned technical problems, thereby improving the reliability and accuracy of the electromagnetic protection level evaluation results for intelligent components.

[0006] In a first aspect, this application provides a method for analyzing the performance of electromagnetic components, the method comprising:

[0007] A judgment matrix is ​​constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components within the target substation.

[0008] Based on the values ​​of each element in the judgment matrix, determine the weight matrix corresponding to each quantitative indicator;

[0009] Based on the membership degree between each quantitative indicator and the preset quantitative level, determine the membership degree matrix corresponding to each quantitative indicator;

[0010] Based on the weight matrix and membership matrix, the comprehensive quantization matrix is ​​determined; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0011] In one embodiment, the weight matrix corresponding to each quantitative indicator is determined based on the values ​​of each element in the judgment matrix, including:

[0012] The judgment matrix is ​​normalized to obtain the processed judgment matrix;

[0013] The weight matrix is ​​determined based on the processed judgment matrix.

[0014] In one embodiment, the weight matrix is ​​determined based on the processed judgment matrix, including:

[0015] Perform a consistency check on the processed judgment matrix;

[0016] If the processed judgment matrix meets the consistency requirements, the weight matrix is ​​determined based on the values ​​of each element in the processed judgment matrix.

[0017] If the processed judgment matrix does not meet the consistency requirements, the processed judgment matrix is ​​updated, and the weight matrix is ​​determined based on the values ​​of each element in the updated judgment matrix.

[0018] In one embodiment, the weight matrix is ​​determined based on the values ​​of each element in the processed judgment matrix, including:

[0019] Based on the values ​​of each element in the processed judgment matrix, determine the mean value of each element in each row of the processed judgment matrix;

[0020] Construct a weight matrix based on the mean of each element.

[0021] In one embodiment, a consistency check is performed on the processed judgment matrix, including:

[0022] Calculate the maximum eigenvalue of the processed judgment matrix;

[0023] Based on the maximum eigenvalue, the number of quantification indicators, and the preset verification formula, the consistency verification value of the processed judgment matrix is ​​determined.

[0024] In one embodiment, the method further includes:

[0025] For each quantitative indicator, determine the frequency of its use within the preset quantitative levels;

[0026] The frequency of use of each quantitative indicator is determined as the membership degree of each quantitative indicator.

[0027] Secondly, this application also provides an electromagnetic component performance analysis device, the device comprising:

[0028] The judgment matrix construction module is used to construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components in the target substation.

[0029] The weight matrix determination module is used to determine the weight matrix corresponding to each quantitative indicator based on the values ​​of each element in the judgment matrix.

[0030] The membership matrix determination module is used to determine the membership matrix corresponding to each quantitative indicator based on the membership degree between each quantitative indicator and the preset quantitative level.

[0031] The comprehensive quantization matrix determination module is used to determine the comprehensive quantization matrix based on the weight matrix and membership matrix; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0032] Thirdly, this application also provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0033] A judgment matrix is ​​constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components within the target substation.

[0034] Based on the values ​​of each element in the judgment matrix, determine the weight matrix corresponding to each quantitative indicator;

[0035] Based on the membership degree between each quantitative indicator and the preset quantitative level, determine the membership degree matrix corresponding to each quantitative indicator;

[0036] Based on the weight matrix and membership matrix, the comprehensive quantization matrix is ​​determined; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0037] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0038] A judgment matrix is ​​constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components within the target substation.

[0039] Based on the values ​​of each element in the judgment matrix, determine the weight matrix corresponding to each quantitative indicator;

[0040] Based on the membership degree between each quantitative indicator and the preset quantitative level, determine the membership degree matrix corresponding to each quantitative indicator;

[0041] Based on the weight matrix and membership matrix, the comprehensive quantization matrix is ​​determined; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0042] Fifthly, this application also provides a computer program product comprising a computer program that, when executed by a processor, performs the following steps:

[0043] A judgment matrix is ​​constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components within the target substation.

[0044] Based on the values ​​of each element in the judgment matrix, determine the weight matrix corresponding to each quantitative indicator;

[0045] Based on the membership degree between each quantitative indicator and the preset quantitative level, determine the membership degree matrix corresponding to each quantitative indicator;

[0046] Based on the weight matrix and membership matrix, the comprehensive quantization matrix is ​​determined; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0047] The aforementioned electromagnetic component performance analysis method, apparatus, computer equipment, storage medium, and computer program products first construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic component to be analyzed. This matrix expresses the relative importance of multiple quantitative indicators mathematically, laying the foundation for accurately determining the weights of each quantitative indicator. Next, based on the values ​​of each element in the judgment matrix, a weight matrix is ​​determined for each quantitative indicator. This weight matrix highlights the differences in importance of different quantitative indicators in the overall performance evaluation, and assigning reasonable weights to each quantitative indicator helps improve the accuracy and reliability of the final electromagnetic component performance analysis results. Then, based on the membership degree between each quantitative indicator and a preset quantitative level, a membership degree matrix is ​​determined for each quantitative indicator, which more precisely represents the relationship between each quantitative indicator and the preset quantitative level. Finally, based on the weight matrix and membership degree matrix, a comprehensive quantitative matrix is ​​determined, which comprehensively considers multiple quantitative indicators and the preset quantitative level to obtain a quantitative result that fully reflects the electromagnetic protection level of the electromagnetic component to be analyzed. Furthermore, this quantitative result allows for a more intuitive comparison of the performance of different electromagnetic components, providing a scientific basis for substation operation management and equipment selection. Attached Figure Description

[0048] Figure 1 Application environment diagrams for the electromagnetic component performance analysis method provided in some embodiments of this application;

[0049] Figure 2 Flowcharts of electromagnetic component performance analysis methods provided in some embodiments of this application;

[0050] Figure 3 A flowchart for determining the weight matrix provided in some embodiments of this application;

[0051] Figure 4A flowchart for determining the weight matrix provided in other embodiments of this application;

[0052] Figure 5 A flowchart for determining the weight matrix is ​​provided for some embodiments of this application;

[0053] Figure 6 A flowchart for performing consistency verification is provided for some embodiments of this application;

[0054] Figure 7 Flowcharts for determining membership degrees provided for some embodiments of this application;

[0055] Figure 8 Structural block diagram of an electromagnetic component performance analysis device provided in some embodiments of this application;

[0056] Figure 9 This is an internal structural diagram of a computer device provided in some embodiments of this application. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0058] The electromagnetic component performance analysis method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located on a cloud or other network server. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets. Terminal 102 can load the electromagnetic component performance analysis method of this application to accurately analyze the performance of the electromagnetic components to be analyzed in the substation, thereby determining the electromagnetic protection level of each electromagnetic component. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0059] In one embodiment, such as Figure 2 As shown, this method is applied to Figure 1 Taking a terminal as an example, this method includes the following steps:

[0060] Step 202: Construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic component to be analyzed.

[0061] The electromagnetic components to be analyzed include multiple electromagnetic components within the target substation. These components are electrical elements within the target substation that are susceptible to electromagnetic interference, including but not limited to various transformers, reactors, capacitors, and other electromagnetically related equipment. The target substation is one of multiple substations. Quantitative indicators are specific and quantifiable parameters used to measure the performance of the electromagnetic components to be analyzed. Examples include resistance to radiated electromagnetic interference, resistance to transient disturbances during switching operations, and resistance to lightning electromagnetic pulse interference. These quantitative indicators objectively reflect the performance status of the electromagnetic components. The judgment matrix is ​​constructed based on the relative importance between two quantitative indicators; that is, the elements in the judgment matrix represent the comparison results of the relative importance between different quantitative indicators.

[0062] Specifically, the judgment matrix is ​​an n*n matrix, where n is the number of quantification indicators, i.e., judgment matrix A = .

[0063] For example, suppose there are three types of intelligent components in a substation: intelligent component A, intelligent component B, and intelligent component C. There are three quantifiable indicators: resistance to radiated electromagnetic interference (EMI) U1, resistance to transient disturbances during switching operations U2, and resistance to lightning electromagnetic pulse interference (MEP) U3, i.e., U = (U1, U2, U3). Based on professional experience in this field, it is considered that resistance to EMI U1 is slightly more important than resistance to transient disturbances during switching operations U2, resistance to EMI U1 is significantly more important than resistance to MEP U3, and resistance to transient disturbances during switching operations U2 is slightly more important than resistance to MEP U3. Combining this with the scaling table in Table 1, the judgment matrix A can be obtained.

[0064] Specifically, the scaling table is as follows:

[0065]

[0066] Table 1

[0067] Based on Table 1, the judgment matrix A is obtained as follows:

[0068] .

[0069] Step 204: Determine the weight matrix corresponding to each quantitative indicator based on the values ​​of each element in the judgment matrix.

[0070] The weight matrix is ​​a matrix composed of the weights corresponding to each quantitative indicator. Each element in the weight matrix reflects the proportion of the corresponding quantitative indicator in the comprehensive evaluation of the performance of the electromagnetic component under analysis. The larger the weight, the greater the influence of the quantitative indicator on the final performance analysis result.

[0071] Optionally, the weight matrix corresponding to each quantitative indicator can be obtained by performing normalization and other operations on the judgment matrix based on the values ​​of each element in the judgment matrix.

[0072] Step 206: Determine the membership matrix corresponding to each quantitative indicator based on the membership degree between each quantitative indicator and the preset quantitative level.

[0073] The preset quantization level is a pre-defined standard used to classify the performance levels of electromagnetic components. For example, electromagnetic protection levels can be divided into three levels: high (V1), medium (V2), and low (V3), i.e., the quantization level universe of discourse V = (V1, V2, V3). Membership degree represents the degree of correlation between each quantization indicator and the preset quantization level; it is a value between 0 and 1. For example, a membership degree of 0.8 for a quantization indicator belonging to the "high" level means that there is an 80% probability that the indicator meets the "high" level standard. The membership degree matrix is ​​a matrix composed of the membership degrees between each quantization indicator and the preset quantization level, comprehensively reflecting the membership status of each quantization indicator under different preset quantization levels.

[0074] Optionally, the membership degree between each quantitative indicator and the preset quantitative level can be determined based on the experience of experts in the field, and then a membership degree matrix can be determined based on the membership degree.

[0075] For example, taking intelligent component A as an example, the membership degree of the quantification level "High" on the evaluation indicator "Resistance to Radiated Electromagnetic Field Interference" is 0.7, the membership degree of the quantification level "Medium" on the evaluation indicator "Resistance to Radiated Electromagnetic Field Interference" is 0.2, and the membership degree of the quantification level "Low" on the evaluation indicator "Resistance to Radiated Electromagnetic Field Interference" is 0.1; the membership degree of the quantification level "High" on the evaluation indicator "Resistance to Transient Interference During Switching Operation" is 0.6, and the membership degree of the quantification level "Medium" on the evaluation indicator "Resistance to Transient Interference During Switching Operation" is 0.6. The membership degree of "Force" on the evaluation index "Impact on transient disturbances during switching operation" is 0.3; the membership degree of "Low" on the evaluation index "Impact on lightning electromagnetic pulse interference" is 0.1; the membership degree of "High" on the evaluation index "Impact on lightning electromagnetic pulse interference" is 0.5; the membership degree of "Medium" on the evaluation index "Impact on lightning electromagnetic pulse interference" is 0.3; and the membership degree of "Low" on the evaluation index "Impact on lightning electromagnetic pulse interference" is 0.2. Therefore, the membership degree matrix of each quantitative index in intelligent component A is as follows:

[0076] .

[0077] Step 208: Determine the comprehensive quantization matrix based on the weight matrix and membership matrix.

[0078] The comprehensive quantization matrix is ​​a matrix calculated based on the weight matrix and the membership matrix. Each element value in the comprehensive quantization matrix represents the quantified value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0079] Optionally, the weight matrix and membership matrix can be multiplied together to obtain the comprehensive quantization matrix.

[0080] For example, assuming the weight matrix W is [0.633, 0.260, 0.107], then based on the membership matrix of intelligent component A mentioned above, the comprehensive quantization matrix of intelligent component A is determined. for:

[0081] ;

[0082] Similarly, the comprehensive quantization matrix of intelligent component B is obtained using the method described above. The integrated quantization matrix of intelligent component C Assuming the obtained comprehensive quantization matrix Comprehensive quantization matrix Then compare the comprehensive quantization matrix Since the size of the first element in the equation is 0.647 > 0.556 > 0.465, we can conclude that smart component A has the highest electromagnetic protection level, followed by smart component B, and smart component C has the lowest electromagnetic protection level.

[0083] In the aforementioned electromagnetic component performance analysis method, a judgment matrix is ​​first constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic component under analysis. This matrix expresses the relative importance of these indicators mathematically, laying the foundation for accurately determining the weights of each indicator. Next, a weight matrix is ​​determined based on the values ​​of each element in the judgment matrix. This weight matrix highlights the differences in importance of different indicators in the overall performance evaluation, and assigning reasonable weights to each indicator helps improve the accuracy and reliability of the final electromagnetic component performance analysis results. Then, a membership matrix is ​​determined based on the membership degree between each indicator and a preset quantification level, providing a more detailed representation of the relationship between these indicators and the preset quantification level. Finally, a comprehensive quantification matrix is ​​determined based on the weight matrix and the membership matrix, allowing for a comprehensive consideration of multiple indicators and the preset quantification level, resulting in a quantification result that fully reflects the electromagnetic protection level of the electromagnetic component under analysis. Furthermore, this quantification result allows for a more intuitive comparison of the performance of different electromagnetic components, providing a scientific basis for substation operation management and equipment selection.

[0084] In one embodiment, such as Figure 3As shown, based on the values ​​of each element in the judgment matrix, the weight matrix corresponding to each quantitative indicator is determined, including:

[0085] Step 302: Normalize the judgment matrix to obtain the processed judgment matrix.

[0086] Understandably, the judgment matrix is ​​constructed based on the relative importance of various quantitative indicators, and the values ​​of the elements in the matrix reflect the proportional importance of pairwise comparisons of different indicators. However, since the value ranges and scales of different indicators may differ when comparing them, directly using the original judgment matrix to calculate weights may be affected by differences in numerical magnitude, leading to inaccurate results. Normalization, on the other hand, adjusts the elements in the judgment matrix according to certain rules, bringing them to a uniform scale and eliminating the influence of differences in the units and numerical values ​​of the original data.

[0087] Optionally, you can first calculate the sum of the elements in each column of the judgment matrix based on each element in the judgment matrix, then divide each element by the sum of the elements in its column to obtain the processed elements, and then update the judgment matrix based on the processed elements to obtain the processed judgment matrix.

[0088] Specifically, the elements in the judgment matrix A can be normalized using the following formula:

[0089] ;

[0090] In the formula, To determine the first element in the matrix Line 1 The elements after normalization of column elements; To determine the first element in matrix A The elements of the column.

[0091] For example, after normalizing the judgment matrix A according to the above normalization formula, the resulting processed judgment matrix A' is: .

[0092] Step 304: Determine the weight matrix based on the processed judgment matrix.

[0093] Optionally, the mean of each row of the processed judgment matrix can be used as the weight elements in the weight matrix.

[0094] Understandably, the processed judgment matrix has eliminated the influence of dimensions and numerical scales. Determining the weight matrix based on this eliminates the influence of these dimensions, allowing for a more accurate reflection of the relative importance of each quantitative indicator in the overall evaluation. The elements in the weight matrix represent the proportion of each quantitative indicator in the overall performance evaluation, serving as key parameters for subsequent comprehensive evaluation.

[0095] In this embodiment, the judgment matrix is ​​first normalized to eliminate unreasonable influences from the data. Then, based on the processed judgment matrix, the weight matrix is ​​determined. This avoids excessive influence of subjective factors on the weight allocation, enabling the weights of each quantitative indicator to objectively and accurately reflect their importance in the comprehensive evaluation, thereby improving the scientificity and credibility of the evaluation results.

[0096] In one embodiment, such as Figure 4 As shown, based on the processed judgment matrix, the weight matrix is ​​determined, including:

[0097] Step 402: Perform a consistency check on the processed judgment matrix.

[0098] Consistency checking is the process of verifying whether the judgment matrix satisfies logical consistency. For example, if indicator A is more important than indicator B, and indicator B is more important than indicator C, then indicator A should be more important than indicator C, and this relationship of importance should also be transitive. Consistency checking is the process of verifying whether the judgment matrix satisfies this logical consistency relationship.

[0099] Alternatively, it can be determined using the consistency index (CI) and the random consistency ratio (CR).

[0100] Step 404: If the processed judgment matrix meets the consistency requirements, determine the weight matrix based on the values ​​of each element in the processed judgment matrix.

[0101] Understandably, when the judgment matrix passes the consistency check, it indicates that the judgments on the relative importance of its elements have good logic and consistency. Calculating the weight matrix based on this matrix then ensures that the weight values ​​accurately reflect the actual importance of each quantitative indicator.

[0102] Optionally, the weight matrix can be determined based on the method in step 304, which will not be repeated here.

[0103] Step 406: If the processed judgment matrix does not meet the consistency requirements, update the processed judgment matrix and determine the weight matrix based on the values ​​of each element in the updated judgment matrix.

[0104] Understandably, when the judgment matrix fails to meet consistency requirements, it indicates a problem with the original judgments, necessitating correction. By updating the judgment matrix to satisfy consistency requirements, an accurate weight matrix can be obtained.

[0105] Optionally, one or more abnormal elements in the judgment matrix can be updated to obtain a new judgment matrix. Then, the elements of the new judgment matrix can be normalized according to the method in step 302 to obtain the updated judgment matrix.

[0106] In this embodiment, the judgment matrix that does not meet the requirements is updated by consistency check and verification, which ensures the rationality and consistency of the judgment matrix, thereby improving the accuracy of the weight matrix calculation and making the performance analysis results of electromagnetic components more reliable.

[0107] In one embodiment, such as Figure 5 As shown, based on the values ​​of each element in the processed judgment matrix, the weight matrix is ​​determined, including:

[0108] Step 502: Based on the values ​​of each element in the processed judgment matrix, determine the mean value of each element in each row of the processed judgment matrix.

[0109] Optionally, by summing the elements of each row in the processed judgment matrix and dividing by the number of elements in each row, the average value of each row in the processed judgment matrix can be obtained.

[0110] For example, let's still use the processed judgment matrix A' obtained above as... For example, we can obtain the mean value of the elements in the first row of the processed judgment matrix as W1=(0.652+0.692+0.556) / 3≈0.633, the mean value of the elements in the second row as W2=(0.217+0.231+0.333) / 3≈0.260, and the mean value of the elements in the third row as W3=(0.131+0.077+0.111) / 3≈0.107.

[0111] Step 504: Construct a weight matrix based on the mean of each element.

[0112] Optionally, the mean values ​​of each element can be arranged in order from left to right to obtain the weight matrix.

[0113] For example, taking the above W1=0.633, W2=0.260, W3=0.107 as an example, the weight matrix W=[0.633, 0.260, 0.107].

[0114] In this embodiment, the above-mentioned method of averaging can smooth and correct these deviations to a certain extent, making the weight matrix more stable and reliable.

[0115] In one embodiment, such as Figure 6 As shown, consistency verification is performed on the processed judgment matrix, including:

[0116] Step 602: Calculate the maximum eigenvalue of the processed judgment matrix.

[0117] Optionally, the maximum eigenvalue of the processed judgment matrix can be calculated based on the weight matrix and the judgment matrix.

[0118] Specifically, the maximum eigenvalue of the processed judgment matrix can be calculated using the following formula:

[0119] ;

[0120] In the formula, The largest eigenvalue of the processed judgment matrix.

[0121] For example, using a weight matrix W = [0.633, 0.260, 0.107], the judgment matrix... For example, first calculate Then calculate the largest eigenvalue of the processed judgment matrix. .

[0122] Step 604: Based on the maximum eigenvalue, the number of quantification indicators, and the preset verification formula, determine the consistency verification value of the processed judgment matrix.

[0123] Specifically, the consistency index of the processed judgment matrix is ​​first calculated according to the following formula:

[0124] ;

[0125] In the formula, As a consistency indicator; This refers to the number of quantitative indicators.

[0126] Then, calculate the consistency check value of the processed judgment matrix according to the following formula:

[0127] ;

[0128] In the formula, This is the consistency check value of the processed judgment matrix, which is also the random consistency ratio. This is a mapping table between consistency index values ​​and the number of quantitative indicators, where the corresponding consistency index value is found based on the specific number of quantitative indicators. Table 2 shows the mapping table between consistency index values ​​and the number of quantitative indicators.

[0129]

[0130] Table 2

[0131] For example, as can be seen from the above example, in this implementation =3, then calculate And if the corresponding consistency index value is 0.58, then the consistency check value of the processed judgment matrix is... ≈ If so, then the consistency of the judgment matrix A is considered acceptable.

[0132] In this embodiment, the consistency of the judgment matrix is ​​quantified by the consistency check value, which avoids the interference of subjective factors and makes the evaluation of the judgment matrix more objective and accurate.

[0133] In one embodiment, such as Figure 7 As shown, the method also includes:

[0134] Step 702: For each quantitative indicator, determine the frequency of use of the quantitative indicator in the preset quantitative level.

[0135] Frequency of use can be understood as the frequency of occurrence.

[0136] For example, suppose that in 20 evaluations, for smart component A, the evaluation of "high" level of anti-electromagnetic interference capability appeared 14 times, the evaluation of "medium" level appeared 4 times, and the evaluation of "low" level appeared 2 times. Then the frequency of use of anti-electromagnetic interference capability in the "high" level is 14 times, the frequency of use in the "medium" level is 4 times, and the frequency of use in the "low" level is 2 times.

[0137] Step 704: Determine the frequency of use of each quantitative indicator as the membership degree of each quantitative indicator.

[0138] Optionally, the ratio of the frequency of use of each quantitative indicator to the total frequency can be determined as the membership degree corresponding to that quantitative indicator.

[0139] For example, taking the above example, for smart component A, the frequency of use of the radiation electromagnetic interference (EMI) immunity capability in the "high" level is 14, while the total frequency, i.e., the total number of evaluations, is 20. Therefore, the membership degree of the "high" level in EMI immunity capability is 14 / 20 = 0.7. Similarly, assuming the membership degree of the "medium" level in EMI immunity capability is 0.2, and the "low" level in EMI immunity capability is 0.1; the membership degree of the "high" level in resistance to transient disturbances during switching operations is 0.6, the "medium" level in resistance to transient disturbances during switching operations is 0.3, and the "low" level in resistance to transient disturbances during switching operations is 0.1; the membership degree of the "high" level in resistance to lightning electromagnetic pulse (MEP) interference is 0.5, the "medium" level in resistance to MEP interference is 0.3, and the "low" level in resistance to MEP interference is 0.2. Then, based on the membership degrees of each preset quantification level to different quantification indicators, they are arranged row by row to form a membership degree matrix. That is, for intelligent component A, the final membership degree matrix is... for .

[0140] In this embodiment, by determining the membership matrix of each intelligent component through the frequency of use of quantitative indicators in a preset quantitative level, the degree to which the quantitative indicator belongs to a certain preset quantitative level can be described more accurately, avoiding the bias that may be caused by simple qualitative evaluation, thereby improving the accuracy and reliability of the final electromagnetic performance analysis structure.

[0141] In one detailed embodiment, the electromagnetic component performance analysis method specifically includes the following steps:

[0142] Step A01: Construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic component to be analyzed.

[0143] Step A02: Normalize the judgment matrix to obtain the processed judgment matrix.

[0144] Step A03: Calculate the maximum eigenvalue of the processed judgment matrix.

[0145] Step A04: Based on the maximum eigenvalue, the number of quantification indicators, and the preset verification formula, determine the consistency verification value of the processed judgment matrix.

[0146] Step A05: If the processed judgment matrix meets the consistency requirements, determine the mean value of each element in the processed judgment matrix based on the value of each element in the processed judgment matrix; and construct a weight matrix based on the mean value of each element.

[0147] Step A06: For each quantitative indicator, determine the frequency of use of the quantitative indicator in the preset quantitative level, and determine the frequency of use of each quantitative indicator as the membership degree of each quantitative indicator.

[0148] Step A07: Determine the membership matrix corresponding to each quantitative indicator based on the membership degree between each quantitative indicator and the preset quantitative level.

[0149] Step A08: Determine the comprehensive quantization matrix based on the weight matrix and membership matrix.

[0150] Step A09: The values ​​of each element in the comprehensive quantization matrix represent the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0151] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0152] Based on the same inventive concept, this application also provides an electromagnetic component performance analysis device for implementing the electromagnetic component performance analysis method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the electromagnetic component performance analysis device provided below can be found in the limitations of the electromagnetic component performance analysis method described above, and will not be repeated here.

[0153] In one embodiment, such as Figure 8 As shown, an electromagnetic component performance analysis device is provided, including: a judgment matrix construction module 802, a weight matrix determination module 804, a membership matrix determination module 806, and a comprehensive quantification matrix determination module 808, wherein:

[0154] The judgment matrix construction module 802 is used to construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components in the target substation.

[0155] The weight matrix determination module 804 is used to determine the weight matrix corresponding to each quantitative indicator based on the value of each element in the judgment matrix.

[0156] The membership matrix determination module 806 is used to determine the membership matrix corresponding to each quantitative indicator based on the membership degree between each quantitative indicator and the preset quantitative level.

[0157] The comprehensive quantization matrix determination module 808 is used to determine the comprehensive quantization matrix based on the weight matrix and membership matrix; the value of each element in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

[0158] In one embodiment, the weight matrix determination module 804 includes a normalization unit and a weight matrix determination unit. The normalization unit is used to normalize the judgment matrix to obtain the processed judgment matrix; the weight matrix determination unit is used to determine the weight matrix based on the processed judgment matrix.

[0159] In one embodiment, the weight matrix determination unit includes a consistency verification subunit and a weight matrix determination subunit. The consistency verification subunit is used to perform consistency verification on the processed judgment matrix. The weight matrix determination subunit is used to determine the weight matrix based on the values ​​of each element in the processed judgment matrix if the processed judgment matrix meets the consistency requirements. If the processed judgment matrix does not meet the consistency requirements, the processed judgment matrix is ​​updated, and the weight matrix is ​​determined based on the values ​​of each element in the updated judgment matrix.

[0160] In one embodiment, the weight matrix determination unit further includes an element mean determination subunit, which is used to determine the element mean of each row of the processed judgment matrix based on the values ​​of each element in the processed judgment matrix; the weight matrix determination subunit is also used to construct a weight matrix based on the element mean.

[0161] In one embodiment, the consistency verification subunit is further configured to: calculate the maximum eigenvalue of the processed judgment matrix; and determine the consistency verification value of the processed judgment matrix based on the maximum eigenvalue, the number of quantification indicators, and a preset verification formula.

[0162] In one embodiment, the membership matrix determination module 806 includes a usage frequency determination unit and a membership degree determination unit. The usage frequency determination unit is used to determine the usage frequency of each quantitative indicator in a preset quantitative level. The membership degree determination unit is used to determine the usage frequency corresponding to each quantitative indicator as the membership degree corresponding to each quantitative indicator.

[0163] Each module in the aforementioned electromagnetic component performance analysis device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0164] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 9 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for analyzing the performance of electromagnetic components. The display screen can be an LCD screen or an e-ink display screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0165] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0166] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0167] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0168] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0169] It should be noted that the substation information (including but not limited to equipment information within the substation) and data (including but not limited to data used for analysis, data stored, and data displayed) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0170] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0171] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0172] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for performance analysis of electromagnetic components, characterized in that, The method includes: A judgment matrix is ​​constructed based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components within the target substation. Based on the values ​​of each element in the judgment matrix, determine the weight matrix corresponding to each of the quantitative indicators; Based on the membership degree between each quantitative indicator and the preset quantitative level, determine the membership degree matrix corresponding to each quantitative indicator; Based on the weight matrix and the membership matrix, a comprehensive quantization matrix is ​​determined; each element value in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

2. The method according to claim 1, characterized in that, The step of determining the weight matrix corresponding to each of the quantitative indicators based on the values ​​of each element in the judgment matrix includes: The judgment matrix is ​​normalized to obtain the processed judgment matrix; The weight matrix is ​​determined based on the processed judgment matrix.

3. The method according to claim 2, characterized in that, Determining the weight matrix based on the processed judgment matrix includes: Perform a consistency check on the processed judgment matrix; If the processed judgment matrix meets the consistency requirements, the weight matrix is ​​determined based on the values ​​of each element in the processed judgment matrix. If the processed judgment matrix does not meet the consistency requirements, the processed judgment matrix is ​​updated, and the weight matrix is ​​determined based on the values ​​of each element in the updated judgment matrix.

4. The method according to claim 3, characterized in that, Determining the weight matrix based on the values ​​of each element in the processed judgment matrix includes: Based on the values ​​of each element in the processed judgment matrix, the mean value of each element in each row of the processed judgment matrix is ​​determined. The weight matrix is ​​constructed based on the mean of each element.

5. The method according to claim 3 or 4, characterized in that, The consistency check of the processed judgment matrix includes: Calculate the maximum eigenvalue of the processed judgment matrix; Based on the maximum eigenvalue, the number of quantification indicators, and the preset verification formula, the consistency verification value of the processed judgment matrix is ​​determined.

6. The method according to any one of claims 1 to 4, characterized in that, The method further includes: For each quantitative indicator, determine the frequency of use of the quantitative indicator in the preset quantitative level; The frequency of use corresponding to each of the quantitative indicators is determined as the membership degree corresponding to each of the quantitative indicators.

7. An electromagnetic component performance analysis device, characterized in that, The device includes: The judgment matrix construction module is used to construct a judgment matrix based on the relative importance of multiple quantitative indicators affecting the performance of the electromagnetic components to be analyzed; the electromagnetic components to be analyzed include multiple electromagnetic components in the target substation. The weight matrix determination module is used to determine the weight matrix corresponding to each of the quantitative indicators based on the values ​​of each element in the judgment matrix. The membership matrix determination module is used to determine the membership matrix corresponding to each of the quantitative indicators based on the membership degree between each quantitative indicator and the preset quantitative level. The comprehensive quantization matrix determination module is used to determine the comprehensive quantization matrix based on the weight matrix and the membership matrix; each element value in the comprehensive quantization matrix represents the quantization value of the electromagnetic protection level corresponding to the electromagnetic component to be analyzed.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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