Method and device for analyzing key influence factors of electronic tag performance of mutual inductor

Abstract

The invention provides a mutual inductor electronic tag performance key influence factor analysis method and device. The method comprises the following steps: acquiring determined basic factor items influencing the performance of the electronic tag of the mutual inductor and evaluation index items representing the performance; according to the performance influence basic factor items and the evaluation index items, obtaining mutual inductor electronic tag performance data in a laboratory environment and preprocessing the data, and obtaining mutual inductor electronic tag performance data in a field operation environment and preprocessing the data; a maximum information coefficient calculation method between the basic factor items and between the basic factor items and the evaluation index items is provided; extracting at least one key influence factor from the performance influence basic factor item or the evaluation index item by utilizing the preprocessed electronic tag performance data of the mutual inductor in the laboratory environment and the preprocessed electronic tag performance data of the mutual inductor in the field operation environment in combination with the proposed maximum information coefficient calculation method; and links such as electronic tag design, manufacturing or detection can be guided.

Description

Technical Field

[0001] The present invention relates to the field of radio frequency identification technology, and in particular to a method and a device for analyzing key influencing factors of mutual inductor electronic tag performance. Background Art

[0002] As an important means of information management of power grid assets, radio frequency electronic tags are widely used in power equipment such as low-voltage transformers and medium-voltage transformers.

[0003] Compared with other industries, the on-site operating environment of power equipment has influencing factors such as strong electric fields, strong magnetic fields, and high temperatures. In addition, there are potential defects caused by materials, processes, and equipment during the manufacturing process of electronic tags. In actual applications, the mutual inductor electronic tags (that is, the radio frequency electronic tags attached to the outer surface of the mutual inductor) have more or less problems such as performance degradation and inability to read tag information.

[0004] In order to improve the reliability of transformer electronic tags in practical applications and guide the production and function optimization of new transformer electronic tags, it is necessary to carry out quantitative impact analysis on the reliability of transformer electronic tags. Summary of the invention

[0005] In view of this, the present application provides a method and device for analyzing key influencing factors of mutual inductor electronic tag performance, so as to solve the problem of lack of a method for analyzing the influence of mutual inductor electronic tag reliability value in the prior art.

[0006] In a first aspect, the present application provides a method for analyzing key influencing factors of mutual inductor electronic tag performance, including:

[0007] Obtain the basic factors affecting the performance of the mutual inductor electronic tag and the evaluation index items representing the performance quality;

[0008] According to the basic factors affecting performance and the evaluation index items, the electronic tag performance data of the transformer is obtained in a laboratory environment and the data is preprocessed, and the electronic tag performance data of the transformer is obtained in a field operation environment and the data is preprocessed;

[0009] A method for calculating the maximum information coefficient between basic factor items and between basic factor items and evaluation index items is proposed;

[0010] By using the preprocessed performance data of the mutual inductor electronic tag in the laboratory environment and the preprocessed performance data of the mutual inductor electronic tag in the field operation environment, combined with the proposed maximum information coefficient calculation method, at least one key influencing factor is extracted from the basic factors affecting the performance or the evaluation index items.

[0011] Further, the determined basic factors affecting the performance of the transformer electronic tag include: transformer operating voltage F1, transformer operating current F2, transformer operating environment temperature F3, transformer operating surface temperature F4, transformer operating environment humidity F5, transformer vibration amplitude F6, transformer vibration frequency F7;

[0012] The determined evaluation index items for characterizing the performance of the mutual inductor electronic tag include: the reading and writing distance S1 of the mutual inductor electronic tag and the reading and writing speed S2 of the mutual inductor electronic tag.

[0013] Furthermore, the obtaining of the electronic tag performance data of the transformer in a laboratory environment according to the basic factors affecting the performance and the evaluation index items includes:

[0014] In a laboratory environment, simulate the operating conditions of the transformer electronic tag, take each basic factor affecting performance as a single variable, and collect the transformer electronic tag performance data;

[0015] The obtaining of the transformer electronic tag performance data under the on-site operating environment includes:

[0016] In the on-site operating environment, for the transformers in operation with electronic tags, the transformer operating voltage, transformer operating current, transformer operating environment temperature, transformer operating surface temperature, transformer operating environment humidity, transformer vibration amplitude, and transformer vibration frequency are collected, and the reading and writing distance and reading and writing speed of each transformer electronic tag are obtained simultaneously.

[0017] Furthermore, the method for calculating the maximum information coefficient between the basic factor items and between the basic factor items and the evaluation index items includes:

[0018] The basic factors affecting performance and the evaluation index items constitute a parameter set;

[0019] For any two parameters in the parameter set, a mutual information value calculation formula for calculating the mutual information value between the parameters is determined, and a maximum information coefficient calculation formula for calculating the maximum information coefficient between the parameters is determined.

[0020] Furthermore, the method of using the pre-processed performance data of the electronic tag of the transformer in the laboratory environment and the pre-processed performance data of the electronic tag of the transformer in the field operation environment, combined with the proposed maximum information coefficient calculation method, extracts at least one key influencing factor from the basic factors affecting the performance or the evaluation index items, including:

[0021] Based on the performance data of the mutual inductor electronic tag collected in the laboratory environment, the maximum information coefficient calculation formula is used to calculate the basic factor items F i And each evaluation index S iThe maximum information coefficient MIC FS (F i ,S i ), calculate each basic factor F i The comprehensive correlation

[0022] According to the comprehensive correlation, the basic factor items F i Arrange them to obtain the correlation between each basic factor item and the evaluation index item from strong to weak, and select the top A basic factor items to be determined as the key influencing factors.

[0023] Furthermore, it also includes: using the mutual inductor electronic tag performance data collected under the operating condition as the operating condition data matrix, and using the maximum information coefficient calculation formula to calculate each basic factor item F i And each evaluation index S i The maximum information coefficient MIC FS (F i ,S i ), calculate each basic factor F i The comprehensive correlation

[0024] Using the proposed overall evaluation function of the correlation of basic factors affecting performance, the value of the overall evaluation function of the correlation of basic factors is calculated;

[0025] By using the overall evaluation function value, other B basic factor items are selected from the basic factor set to be determined as the expanded key influencing factors.

[0026] Furthermore, it includes: collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating voltages; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating currents; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating temperatures; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating surface temperatures; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different on-site operating environment humidity; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating vibration amplitudes; collecting the reading and writing distance and reading and writing speed of the mutual inductor electronic tag under different operating vibration frequencies.

[0027] In a second aspect, the present application provides a device for analyzing key influencing factors of mutual inductor electronic tag performance, comprising:

[0028] A basic item and index item acquisition unit, used to acquire the determined basic factor items affecting the performance of the mutual inductor electronic tag and the evaluation index items representing the performance quality;

[0029] A data acquisition unit, used to acquire the electronic tag performance data of the transformer in a laboratory environment and pre-process the data according to the basic factors affecting the performance and the evaluation index items, and to acquire the electronic tag performance data of the transformer in a field operation environment and pre-process the data;

[0030] A maximum coefficient formula determination unit is used to propose a maximum information coefficient calculation method between basic factor items and between basic factor items and evaluation index items;

[0031] The key factor set determination unit is used to use the pre-processed transformer electronic tag performance data in the laboratory environment and the pre-processed transformer electronic tag performance data in the field operation environment, combined with the proposed maximum information coefficient calculation method, to extract at least one key influencing factor from the performance influencing basic factor items or the evaluation index items.

[0032] In a third aspect, the present application provides a terminal, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, characterized in that the program is executed by a processor to implement the method described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 It is a flow chart of a method for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention;

[0036] Figure 2 A schematic flow chart of another method for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention;

[0037] Figure 3 A schematic diagram of a flow chart of selecting key influencing factors in another method for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention;

[0038] Figure 4 It is a schematic diagram of the composition of a device for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention;

[0039] Figure 5A schematic diagram of the composition of a terminal to which the method for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention is applied;

[0040] Figure 6 The diagram is a schematic diagram of a program product that applies the method for analyzing key influencing factors of mutual inductor electronic tag performance according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to be able to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other.

[0042] With the widespread application of radio frequency identification technology in various fields, its quality reliability issues have received widespread attention. The Chinese patent application with application number CN201611159393.6 discloses a method for improving the reliability of low-voltage transformer radio frequency identification tags based on empirical mode decomposition. Based on empirical mode decomposition, data analysis is performed to analyze the factors affecting the reliability of low-voltage transformer radio frequency identification tags, and various environmental factors are found. This method mainly analyzes the error data changes in normal and abnormal environments.

[0043] In actual operation, the performance reliability of the mutual inductor RFID tag is affected by comprehensive factors. The performance impact analysis should also be conducted based on the effects of comprehensive factors. The obtained analysis results are more in line with the needs of implementing targeted improvements in the design, manufacturing or testing of mutual inductor electronic tags.

[0044] The present invention is based on the actual performance data of existing mutual inductor electronic tags that are widely used, conducts correlation analysis, and obtains key parameters that affect the performance stability or reading reliability of the electronic tags, which is conducive to guiding new processes or detection methods and weakening the influence of this factor or key parameter on the stability of the electronic tags.

[0045] The present invention provides a more general system of intelligent correlation factors of mutual inductor electronic tag performance, which is mainly based on the actual on-site operating conditions of mutual inductor electronic tags, analyzes the performance data and performance of mutual inductor electronic tags under the long-term influence of multiple comprehensive factors, and combines data analysis in a laboratory environment to jointly propose more reliable and effective factors to characterize tag performance degradation, so as to guide the design, manufacturing or testing of electronic tags in a more targeted manner.

[0046] The method for analyzing key influencing factors of mutual inductor electronic tag performance provided by the present invention introduces correlation analysis to mine the collected mutual inductor electronic tag performance data to determine a set of key factors. Thus, the analysis results of these key factors can guide the optimization work of the new mutual inductor electronic tag.

[0047] like Figure 1 As shown, the method for analyzing key influencing factors of mutual inductor electronic tag performance provided by the present invention includes the following steps S100, S200, S300 and S400.

[0048] Step S100: obtaining the determined basic factors affecting the performance of the mutual inductor electronic tag and the evaluation index items representing the performance quality;

[0049] In some embodiments, in step S100, the determined basic factors affecting the performance of the mutual inductor electronic tag include:

[0050] Transformer operating voltage F1, transformer operating current F2, transformer operating environment temperature F3, transformer operating surface temperature F4, transformer operating environment humidity F5, transformer vibration amplitude F6, transformer vibration frequency F7. This is conducive to analyzing various environmental factors and more comprehensively finding the key parameters that affect the performance of transformer electronic tags.

[0051] In some embodiments, all performance influencing basic factor items constitute a basic factor set F={F1, F2, F3, F4, F5, F6, F7}.

[0052] In some embodiments, in the step S100, the determined evaluation index items of the mutual inductor electronic tag characterizing the performance quality include: the reading and writing distance S1 of the mutual inductor electronic tag and the reading and writing speed S2 of the mutual inductor electronic tag.

[0053] Specifically, the read / write distance S1 is used to indicate the maximum distance at which the electronic tag reader can accurately and completely read and write the information recorded in the mutual inductor electronic tag; the read / write speed S2 is used to indicate the maximum read / write speed at which the electronic tag reader can accurately and completely read and write the information recorded in the mutual inductor electronic tag at the read / write distance S1. In this way, the read / write distance S1 and the read / write speed S2 are used as evaluation indicators to characterize the performance of the mutual inductor electronic tag, such as reading reliability and performance stability.

[0054] In some embodiments, all evaluation index items constitute an evaluation index set S = {S1, S2}.

[0055] S200: According to the basic factors affecting performance and the evaluation index items, the electronic tag performance data of the transformer in a laboratory environment is obtained and the data is preprocessed, and the electronic tag performance data of the transformer in a field operation environment is obtained and the data is preprocessed.

[0056] Specifically, the performance data of the electronic tag of the mutual inductor obtained in the laboratory environment is preprocessed and used as an experimental data matrix in the subsequent step S400;

[0057] Specifically, the obtained performance data of the transformer electronic tag in the on-site operating environment is pre-processed and used as an operating condition data matrix in the subsequent step S400.

[0058] In some embodiments, in step S200, obtaining the electronic tag performance data of the transformer in a laboratory environment according to the basic factors affecting the performance and the evaluation index items includes:

[0059] In a laboratory environment, the operating conditions of the transformer electronic tag are simulated, and each basic factor item affecting performance is taken as a single variable to collect the performance data of the transformer electronic tag to form factor set data and indicator set data. The factor set data includes the numerical values ​​corresponding to each basic factor item affecting performance, and the indicator set data includes the numerical values ​​corresponding to each evaluation indicator item under each basic factor item affecting performance.

[0060] In some embodiments, the operation condition of the mutual inductor electronic tag is simulated, each basic factor item affecting performance is used as a single variable, and the performance data of the mutual inductor electronic tag is collected, including:

[0061] Collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating voltages; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating currents; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating temperatures; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating surface temperatures; collect the reading and writing distance and speed of the mutual inductor electronic tag under different on-site operating environment humidity; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating vibration amplitudes; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating vibration frequencies.

[0062] In some embodiments, in a laboratory environment, for all basic factors affecting performance, performance data of each transformer electronic tag under each basic factor affecting performance is collected one by one, and multiple sets of data pairs are obtained: (transformer operating voltage F1, reading and writing distance S1, reading and writing speed S2), (transformer operating current F2, reading and writing distance S1, reading and writing speed S2), (transformer operating environment temperature F3, reading and writing distance S1, reading and writing speed S2), (transformer operating surface temperature F4, reading and writing distance S1, reading and writing speed S2), (transformer operating environment humidity F5, reading and writing distance S1, reading and writing speed S2), (transformer vibration amplitude F6, reading and writing distance S1, reading and writing speed S2) and (transformer vibration frequency F7, reading and writing distance S1, reading and writing speed S2).

[0063] It should be understood that the different operating voltages correspond to the value range of the transformer operating voltage F1; the different operating currents correspond to the value range of the transformer operating current F2; the different operating environment temperatures correspond to the value range of the transformer operating environment temperature F3; the different operating surface temperatures correspond to the value range of the transformer operating surface temperature F4; the different operating environment temperatures correspond to the value range of the transformer operating environment humidity F5; the different transformer vibration amplitudes correspond to the value range of the transformer vibration amplitude F6; the different transformer vibration frequencies correspond to the value range of the transformer vibration frequency F7.

[0064] In some embodiments, normalizing the performance data of the electronic tag of the mutual inductor obtained in the laboratory environment includes:

[0065] The following normalization formula is used:

[0066] Among them, X is the original data of any basic factor item or any evaluation index item, X max and X min are respectively the maximum and minimum values ​​of all original data of the parameter (any basic factor item or evaluation index item), and X′ is the normalized data of the parameter (any basic factor item or evaluation index item).

[0067] It should be understood that the factor set data, indicator set data and each parameter are normalized independently, which will not be elaborated.

[0068] Correspondingly, after the factor set data, the indicator set data and each parameter are normalized independently, the value range of any basic factor item or any evaluation indicator item is normalized to (0, 1).

[0069] In some embodiments, in step S200, obtaining the electronic tag performance data of the transformer in a laboratory environment according to the basic factors affecting the performance and the evaluation index items includes:

[0070] In the on-site operating environment, for the transformers in operation with electronic tags, monitoring means are used to collect data on seven basic factors, namely, transformer operating voltage, transformer operating current, transformer operating environment temperature, transformer operating surface temperature, transformer operating environment humidity, transformer vibration amplitude, and transformer vibration frequency, and simultaneously obtain two evaluation index items, namely, the read and write distance and read and write speed of each transformer electronic tag, to form factor set data and index set data. The factor set data includes the numerical values ​​corresponding to each basic factor item affecting performance, and the index set data includes the numerical values ​​corresponding to each evaluation index item under each basic factor item affecting performance.

[0071] Specifically, the monitoring means include: using voltage transformers, current transformers, temperature sensors, humidity sensors, vibration sensors and other real-time monitoring equipment for power grid operation data set for the transformers in operation, which will not be elaborated.

[0072] In this way, a large number of transformer electronic tag performance data of transformers with electronic tags in operation are obtained under the on-site operating environment, such as the transformer operating voltage F1, transformer operating current F2, transformer operating environment temperature F3, transformer operating surface temperature F4, transformer operating environment humidity F5, transformer vibration amplitude F6, transformer vibration frequency F7, reading and writing distance S1 and reading and writing speed S2 of the Nth transformer at the Mth moment.

[0073] In some embodiments, normalizing the acquired performance data of the electronic tag of the transformer under the field operation environment includes:

[0074] The following normalization formula is used:

[0075] Among them, X is the original data of any basic factor item or evaluation index item, X max and X min are respectively the maximum and minimum values ​​of all original data of the parameter (any basic factor item or evaluation index item), and X′ is the normalized data of the parameter (any basic factor item or evaluation index item).

[0076] It should be understood that the factor set data, indicator set data and each parameter are normalized independently, which will not be elaborated.

[0077] Correspondingly, after the factor set data, the indicator set data and each parameter are normalized independently, the value range of any basic factor item or any evaluation indicator item is normalized to (0, 1).

[0078] Thus, in step S200, data collection and data preprocessing of basic factors affecting the performance of mutual inductor electronic tags and evaluation index items are carried out, and the process is reasonable and the processing is efficient.

[0079] S300: Propose a maximum information coefficient calculation method between basic factor items and between basic factor items and evaluation index items to calculate the maximum information coefficient between each parameter in a parameter set consisting of basic factor items and evaluation index items that affect the performance of mutual inductor electronic tags.

[0080] In some embodiments, in step S300, a method for calculating the maximum information coefficient between basic factor items and between basic factor items and evaluation index items is proposed, including:

[0081] The basic factors affecting performance and the evaluation index items constitute a parameter set, so that each basic factor affecting performance and each evaluation index item are parameters in the parameter set respectively;

[0082] For any two parameters in the parameter set, a mutual information value calculation formula for calculating the mutual information value between the parameters is determined; wherein the mutual information value between the parameters is used to measure the correlation between the two parameters. For two parameters with respective probability distributions, the mutual information value between the parameters is a statistic.

[0083] Specifically, determining a mutual information value calculation formula for calculating mutual information values ​​between parameters includes the following steps:

[0084] Determine the respective probability densities p(x) and p(y) within the respective value ranges of the parameters X and Y;

[0085] Determine the joint probability density p(x,y) of parameter X and parameter Y within their respective value ranges;

[0086] A mutual information value calculation formula is determined to calculate the mutual information value between the two parameters X and Y. The mutual information value calculation formula is as follows:

[0087]

[0088] Among them, parameter X is any basic factor item or evaluation index item affecting performance, and x is the value of any basic factor item or evaluation index item affecting performance; parameter Y is any basic factor item or evaluation index item affecting performance, and y is the value of any basic factor item or evaluation index item affecting performance.

[0089] S32: For any two parameters in the parameter set, determine a maximum information coefficient calculation formula for calculating the maximum information coefficient between the parameters.

[0090] Specifically, the maximum information coefficient calculation formula for determining the maximum information coefficient between the calculation parameters includes:

[0091] S321: Parameters X and Y are organized into an ordered pair data set D = {(xi, yi), i = 1, 2, 3, ..., n}, where n is the size of any basic factor item or evaluation index item affecting performance; the value range of parameter X is divided into a segments, and the value range of parameter Y is divided into b segments, where a and b are positive integers, and n is the size of the data; then a grid G ​​with a×b grid division methods can be determined.

[0092] S322: In the obtained grid G, for each grid division method, calculate the mutual information value I(X,Y) between the two parameters X and Y;

[0093] S323: taking the maximum value of the mutual information values ​​I(X,Y) corresponding to different a×b grid division methods as the maximum mutual information value of the ordered pair set D under the grid G;

[0094] Specifically, the maximum mutual information value of the ordered pair set D under the grid G ​​is calculated according to the following formula: I*(D, a, b) = maxI(D|G), where D|G represents partitioning the ordered pair set D using the grid G;

[0095] S324: The maximum normalized mutual information obtained under different grids G is combined into a maximum normalized mutual information feature matrix M(D) a,b , use the following maximum information coefficient calculation formula to calculate the maximum information coefficient:

[0096]

[0097] Among them, the maximum normalized mutual information feature matrix is ​​calculated using the following formula:

[0098]

[0099] Among them, min(a, b) means taking the smaller value of a and b.

[0100] Among them, B(n) is the upper limit of the grid division method a×b. Generally, B(n)=n 0.6 In some embodiments, B(n) directly uses n 0.6 In this way, the maximum normalized mutual information feature matrix is ​​used as the mutual information grid result, which is conducive to determining the maximum information coefficient according to the quality of the mutual information grid result.

[0101] Referring to the above description, the maximum information coefficient can be used to indicate the correlation between two parameters. The larger the value of the maximum information coefficient is, the stronger the correlation between the two parameters is. Accordingly, it can be determined that the two parameters with larger maximum information coefficients have a greater impact on the reading reliability of the mutual inductor electronic tag.

[0102] Thus, in step S400, the maximum information coefficient calculation formula proposed can be used to calculate any basic factor item F affecting performance. i Another basic factor affecting performance F j The maximum information coefficient between FF (F i ,F j ), where i is not equal to j, and i or j is a positive integer not less than 1; according to the maximum information coefficient calculation formula, any basic factor item F affecting performance can be calculated i With any evaluation index S i The maximum information coefficient betweenFS (F i ,S i ).

[0103] S400: Using the pre-processed performance data of the transformer electronic tag in the laboratory environment and the pre-processed performance data of the transformer electronic tag in the field operation environment, combined with the proposed maximum information coefficient calculation method, at least one key influencing factor is extracted from the basic factors affecting the performance to construct a key factor set.

[0104] In some embodiments, in step S400, based on the performance data of the mutual inductor electronic tag in the laboratory environment, combined with the proposed maximum information coefficient calculation method, the correlation between each basic factor item and each evaluation index item is analyzed, and at least one basic factor item most relevant to the performance of the mutual inductor electronic tag is selected as the basic factor item, and a basic factor set is formed, including:

[0105] In some embodiments, the factor set data and indicator set data collected in the laboratory environment are used as the basic data matrix or the experimental data matrix, and the maximum information coefficient calculation formula is used to calculate each basic factor item F i And each evaluation index S i The maximum information coefficient between FS (F i ,S i );Calculate each basic factor item F i The comprehensive correlation

[0106] According to the comprehensive correlation, the basic factor items F i Arrange them to obtain the correlation between each basic factor item and the evaluation index item from strong to weak, and select the top A basic factor items as the basic factor set R A , where A is a positive integer less than 7 and can be pre-set, such as 2.

[0107] Specifically, calculate any basic factor item F affecting performance i And each evaluation index S i The maximum information coefficient of any performance-influencing basic factor item F is calculated using the pre-assigned weights. i The comprehensive correlation between all n evaluation index items:

[0108]

[0109] Among them, each parameter α i It is the weight, and its size is set mainly based on expert experience and is usually pre-allocated, so I will not go into details.

[0110] In this way, each basic factor affecting performance is taken as a single factor, and the comprehensive correlation between each basic factor and multiple evaluation index items is calculated respectively.

[0111] In this way, the preprocessed performance data of the mutual inductor electronic tag in the laboratory environment is obtained, and based on the performance data of the mutual inductor electronic tag in the laboratory environment, combined with the proposed maximum information coefficient calculation method, the correlation between each basic factor item and each evaluation index item is analyzed, and at least one basic factor item most relevant to the performance of the mutual inductor electronic tag is selected as the basic factor item, and a basic factor set is formed.

[0112] In this way, we determine the A basic factors in the key factor set, that is, we select A key influencing factors from the basic factor set, which are the parameters that must be related in theory, to form the basic factor set R A .

[0113] Further, determine B expansion factors in the key factor set, that is, select other B expansion factor items from the basic factor set to form the expansion factor set data R B That is, at least one basic factor item of multi-factor combined interference under actual working conditions is taken as the key influencing factor for expansion.

[0114] Specifically, the proposed performance-affecting basic factor item relevance overall evaluation function is used to calculate the basic factor item relevance overall evaluation function value, which is used to evaluate the key factor set construction effect. The performance-affecting basic factor item relevance overall evaluation function is as follows:

[0115]

[0116] In the above formula, k is the number of basic factor items in the key factor set. is the average comprehensive correlation between each basic factor item and the evaluation index item in the key factor set, It is the average value of the maximum information coefficient between the two basic factor items in the key factor set.

[0117] In some embodiments, the factor set data and the index set data collected under the operating conditions are used as the operating condition data matrix, and the maximum information coefficient between the basic factor items and the maximum information coefficient between the basic factor items and the evaluation index items are calculated respectively, including: using the maximum information coefficient calculation formula to calculate the basic factor item F i With the basic factor F j The maximum information coefficient MIC(F i ,F j );Basic factor item F i And the evaluation index S i The maximum information coefficient MIC(F i ,S i) and each basic factor item F i The comprehensive correlation

[0118] The basic factor set R A Set as the initial key factor set R B ;

[0119] S441: In the initial key factor set R B A basic factor item is randomly selected from the basic factor items other than B The transition factor set data R o , calculate its evaluation function value;

[0120] S442: Select a basic factor item from the remaining basic factor items and compare it with the initial key factor set R B The intermediate factor set data R x , calculate its evaluation function;

[0121] S443: Comparison of transition factor set data R o The evaluation function value and the intermediate factor set data R x The evaluation function value of ;

[0122] If the intermediate factor set data R x The evaluation function value of the latter is better than the transition factor set data R o If the evaluation function value of the former is smaller, then return to step S442 to continue reselection; otherwise, add this factor to the key factor set, traverse all factors outside the basic factor set, and confirm the first factor to be added; repeat step S442 until B factors are selected to form a key factor set R B .

[0123] In this way, the performance data of the mutual inductor electronic tag under the preprocessed operating environment is obtained, and based on the performance data of the mutual inductor electronic tag under the operating environment, the remaining basic factor items affecting the performance are combined one by one with the basic factor items in the basic factor set, and the proposed evaluation function is used for analysis until a specified number of extended factor items are selected; the basic factor items and the extended factor items form a key factor set, and the key factor set is used to indicate the key factors affecting the performance that should be focused on in the design, manufacture or detection of the mutual inductor electronic tag.

[0124] The transformer electronic tag factor set data established by the present invention fully considers the impact of the actual operating conditions of the transformer, and is more targeted than the influencing factors of existing general electronic tags. In the process of analyzing and selecting key factors affecting the operating performance of the electronic tags, the present invention combines laboratory test data analysis with actual operation data analysis, which can not only characterize the physical characteristics of the electronic tags themselves, but also characterize the comprehensive impact of multiple factors under actual working conditions. It is more instructive for the performance improvement of transformer electronic tags and the improvement of detection methods.

[0125] The following combination Figure 2 , Figure 3 , specifically explain the method for analyzing key influencing factors of the mutual inductor electronic tag performance of this application.

[0126] (1) Determine the basic factors that affect the performance of the mutual inductor electronic tag and the evaluation indicators that characterize the performance.

[0127] Among them, the transformer electronic tag factor items include: transformer operating voltage F1, transformer operating current F2, transformer operating environment temperature F3, transformer operating surface temperature F4, transformer operating environment humidity F5, transformer vibration amplitude F6, transformer vibration frequency F7, all factor items constitute factor set data F = {F1, F2, F3, F4, F5, F6, F7};

[0128] The evaluation items of the performance of the mutual inductor electronic tag include: the reading and writing distance S1 of the mutual inductor electronic tag, the reading and writing speed S2 of the mutual inductor read-write tag, and all the evaluation items constitute an evaluation set S = {S1, S2}.

[0129] (2) Carry out data collection and processing on basic factors and evaluation indicators that affect the performance of transformer electronic tags.

[0130] 2.1 Construct a data set in a laboratory environment. Simulate the operating environment of the transformer electronic tag in the laboratory environment, take each factor as a single variable, collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating voltages; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating currents; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating temperatures; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating surface temperatures; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating environment humidity; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating vibration amplitudes; collect the reading and writing distance and reading and writing speed of the transformer electronic tag under different operating vibration frequencies.

[0131] 2.2 Constructing a data set under the operating environment. For the transformers in operation with transformer electronic tags, corresponding monitoring methods are used to collect data such as transformer operating voltage, transformer operating current, transformer operating environment temperature, transformer operating surface temperature, transformer operating environment humidity, transformer vibration amplitude, transformer vibration frequency, etc., and simultaneously obtain the reading and writing distance and reading and writing speed of the transformer electronic tags.

[0132] 2.3 Normalize the data sets in the laboratory environment and the data sets in the operating environment respectively. The normalization formula is as follows: Where X is the original data of the parameter, X max , X min are the maximum and minimum values ​​of the original data of the parameter, and X′ is the normalized data.

[0133] (3) Calculate the maximum information coefficient between the parameters in the parameter set consisting of the basic items affecting the performance of the mutual inductor electronic tag and the evaluation index items.

[0134] 3.1 First, calculate the mutual information value between the parameters. The mutual information value is a statistic used to measure the correlation between two parameters. For parameters X and Y, first calculate the probability density and joint probability density p(x), p(y), p(x,y), and then use the mutual information formula Calculate the mutual information value between parameters.

[0135] 3.2 Next, suppose that the set D = {(x i ,y i ),i=1,2,……,n} is composed of a finite number of ordered pairs, and then a G network is divided, the value range of the parameters X and Y are divided into x segments and y segments respectively, G becomes an x×y grid, and the mutual information I(X,Y) is calculated inside each grid division, and the maximum value of I(X,Y) in different x×y grid division methods is taken as the mutual information value of the grid G; the maximum information formula of D under the grid G ​​is defined as: I*(D,x,y)=maxI(D|G), where D|G means using the grid G ​​data D for division; the maximum information coefficient is represented by the quality of the mutual information grid result. The maximum normalized mutual information I obtained under different divisions is used to form a feature matrix, and the feature matrix is ​​defined as M(D) x,y , using the formula To calculate, the maximum information coefficient is calculated using the formula Calculate, B(n) is the upper limit of the x×y grid division, generally B(n) = n 0.6 The effect is the best, and B(n) of the present invention directly adopts this value.

[0136] 3.3 According to the above maximum information coefficient calculation method, the factor F can be calculated i With factor Fj The maximum information coefficient between them is MIC(F i ,F j ), factor F i With the indicator S i The maximum information coefficient between them is MIC(F i ,S i ), which is the correlation between the two variables. The larger the value, the stronger the correlation between them, that is, this factor has a greater impact on the reading reliability of the mutual inductor electronic tag.

[0137] (4) Construct the key influencing factor set data. Based on the test data set in the laboratory environment, select the factors most relevant to the performance of the transformer electronic tag as the basic factor items; based on the operation data set in the field environment, select the factor items that need to be expanded; the basic factor items and the expanded factor items together constitute the key influencing factor set data.

[0138] 4.1 Calculation of comprehensive correlation between single factor and multiple evaluation indicators. First, calculate the factor F i The maximum information coefficient of each indicator is then used to define the comprehensive correlation by weight distribution: The parameter α is the weight, and its value is set to 0.5.

[0139] 4.2 Calculation of overall evaluation function of factor set data relevance, setting the overall evaluation function of factor relevance to evaluate the construction effect of key factor set:

[0140] In this formula, k is the number of factor set data. is the average comprehensive correlation between each factor and the evaluation index in the factor set data, It is the average value of the maximum information coefficient between each two factors in the factor set data.

[0141] 4.3 The number of basic factors of the key factor set is determined to be 2, that is, the factor parameters that must be related in theory constitute the basic factor set.

[0142] 4.4 Based on the factor set data and indicator set data collected in the laboratory environment as the basic data matrix, the factor F is obtained by using the maximum information coefficient calculation method. i With the indicator S i The maximum information coefficient between them is MIC(F i ,S i ), further calculate the factor F i The comprehensive correlation Arrange them according to the size of the comprehensive correlation, and sort the correlation between each factor and the evaluation index from strong to weak, and select the top two factors as the basic factor set R A ;

[0143] 4.5 Determine that the factor expansion factors of the key factor set are 2, namely, the factors of joint interference of multiple factors under actual working conditions are taken as the expanded key influencing factors.

[0144] Firstly, the factor set data and indicator set data collected under the operating conditions are used as the basic data matrix to calculate the maximum information coefficient between factors and the comprehensive maximum information coefficient between factors and indicators, that is, the factor F is obtained by using the maximum information coefficient calculation method. i With factor F j The maximum information coefficient between them is MIC(F i ,F j ); Factor F i With the indicator S i The maximum information coefficient between them is MIC(F i ,S i ) and comprehensive relevance

[0145] Then in the basic factor set R A Set as the initial key factor set R B , R B Randomly select a factor item from the factors other than o , calculate its evaluation function, and then select a factor item from the remaining factor items to form the factor set data R x , calculate its evaluation function in the same way. If the latter evaluation function is smaller than the former characteristic evaluation function, continue to reselect. Otherwise, add this factor to the key factor set, traverse all factors outside the basic factor set to confirm the first factor to be added; loop this step to select the second factor, and form the key factor set R together with the basic factor. B .

[0146] like Figure 4 As shown, the key influencing factor analysis device 1000 of the transformer electronic tag performance of the present application includes: a basic item and index item acquisition unit 10, which is used to acquire the determined basic factor items affecting the performance of the transformer electronic tag and the evaluation index items characterizing the performance quality; a data acquisition unit 20, which is used to acquire the transformer electronic tag performance data in a laboratory environment and pre-process the data according to the performance influencing basic factor items and the evaluation index items, and acquire the transformer electronic tag performance data in a field operation environment and pre-process the data; a maximum coefficient formula determination unit 30, which is used to propose a maximum information coefficient calculation method between basic factor items and between basic factor items and evaluation index items; a key factor set determination unit 40, which is used to extract at least one key influencing factor from the performance influencing basic factor items or the evaluation index items by using the pre-processed transformer electronic tag performance data in the laboratory environment and the pre-processed transformer electronic tag performance data in the field operation environment, combined with the proposed maximum information coefficient calculation method.

[0147] The device provided in the embodiment of the present invention and the method in the embodiment of the present invention are based on the same inventive concept and have the same beneficial effects as the method adopted, operated or implemented by them, and will not be described in detail.

[0148] The embodiment of the present invention also provides a terminal to execute the above-mentioned method for analyzing the key influencing factors of the mutual inductor electronic tag performance. Figure 5 As shown, the terminal 8 includes: a processor 800, a memory 801, a bus 802 and a communication interface 803, wherein the processor 800, the communication interface 803 and the memory 801 are connected via the bus 802; the memory 801 stores a computer program that can be run on the processor 800, and the processor 800 executes the method provided by any embodiment of the present invention when running the computer program.

[0149] The memory 801 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (Non-volatile Memory), such as at least one disk storage. The communication connection between the device network element and at least one other network element is realized through at least one communication interface 803 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0150] The bus 802 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 801 is used to store programs, and the processor 800 executes the programs after receiving execution instructions. The method disclosed in any implementation of the embodiment of the present invention may be applied to the processor 800, or implemented by the processor 800.

[0151] The processor 800 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the method can be completed by the hardware integrated logic circuit in the processor 800 or the instruction in the form of software. The processor 800 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present invention may be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 801, and the processor 800 reads the information in the memory 801 and completes the steps of the method in combination with its hardware.

[0152] The terminal provided by the embodiment of the present invention and the method provided by the aforementioned implementation manner are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by them.

[0153] like Figure 6 As shown, an embodiment of the present invention also provides a computer-readable storage medium corresponding to the method for analyzing key influencing factors of mutual inductor electronic tag performance provided in the aforementioned embodiment. The computer-readable storage medium is a CD on which a computer program (i.e., program product 900) is stored. When the computer program is run by a processor, it will execute the method provided in any of the aforementioned embodiments.

[0154] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0155] The computer-readable storage medium provided by the embodiment of the present invention is based on the same inventive concept as the method of the embodiment of the present invention, and has the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0156] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these adjustments and modifications of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these changes and modifications.

Claims

1. A method for analyzing key influencing factors of mutual inductor electronic tag performance, characterized in that: include: Obtain the basic factors affecting the performance of the mutual inductor electronic tag and the evaluation index items representing the performance quality; According to the basic factors affecting performance and the evaluation index items, the electronic tag performance data of the transformer is obtained in a laboratory environment and the data is preprocessed, and the electronic tag performance data of the transformer is obtained in a field operation environment and the data is preprocessed; A method for calculating the maximum information coefficient between basic factor items and between basic factor items and evaluation index items is proposed; By using the preprocessed performance data of the mutual inductor electronic tag in the laboratory environment and the preprocessed performance data of the mutual inductor electronic tag in the field operation environment, combined with the proposed maximum information coefficient calculation method, at least one key influencing factor is extracted from the basic factors affecting the performance or the evaluation index items.

2. The method according to claim 1, characterized in that The determined basic factors affecting the performance of the transformer electronic tag include: transformer operating voltage F1, transformer operating current F2, transformer operating environment temperature F3, transformer operating surface temperature F4, transformer operating environment humidity F5, transformer vibration amplitude F6, and transformer vibration frequency F7; The determined evaluation index items for characterizing the performance of the mutual inductor electronic tag include: the reading and writing distance S1 of the mutual inductor electronic tag and the reading and writing speed S2 of the mutual inductor electronic tag.

3. The method according to claim 2, characterized in that The step of obtaining the electronic tag performance data of the transformer in a laboratory environment according to the basic factors affecting the performance and the evaluation index items includes: In a laboratory environment, simulate the operating conditions of the transformer electronic tag, take each basic factor affecting performance as a single variable, and collect the transformer electronic tag performance data; The obtaining of the transformer electronic tag performance data under the on-site operating environment includes: In the on-site operating environment, for the transformers in operation with electronic tags, the transformer operating voltage, transformer operating current, transformer operating environment temperature, transformer operating surface temperature, transformer operating environment humidity, transformer vibration amplitude, and transformer vibration frequency are collected, and the reading and writing distance and reading and writing speed of each transformer electronic tag are obtained simultaneously.

4. The method according to claim 3, characterized in that The method for calculating the maximum information coefficient between the basic factor items and between the basic factor items and the evaluation index items includes: The basic factors affecting performance and the evaluation index items constitute a parameter set; For any two parameters in the parameter set, a mutual information value calculation formula for calculating the mutual information value between the parameters is determined, and a maximum information coefficient calculation formula for calculating the maximum information coefficient between the parameters is determined.

5. The method according to claim 4, characterized in that The method of using the pre-processed performance data of the electronic tag of the transformer in the laboratory environment and the pre-processed performance data of the electronic tag of the transformer in the field operation environment, in combination with the proposed maximum information coefficient calculation method, extracting at least one key influencing factor from the basic factors affecting the performance or the evaluation index items, includes: Based on the performance data of the mutual inductor electronic tag collected in the laboratory environment, the maximum information coefficient calculation formula is used to calculate the basic factor items F i And each evaluation index S i The maximum information coefficient MIC FS (F i ,S i ), calculate each basic factor F i The comprehensive correlation MIC FiS ; According to the comprehensive correlation, the basic factor items F i Arrange them to obtain the correlation between each basic factor item and the evaluation index item from strong to weak, and select the top A basic factor items to be determined as the key influencing factors.

6. The method according to claim 5, characterized in that Also includes: The performance data of the mutual inductor electronic tag collected under the operating condition is used as the operating condition data matrix, and the maximum information coefficient calculation formula is used to calculate each basic factor item F i And each evaluation index S i The maximum information coefficient MIC FS (F i ,S i ), calculate each basic factor F i The comprehensive correlation MIC FiS ; Using the proposed overall evaluation function of the correlation of basic factors affecting performance, the value of the overall evaluation function of the correlation of basic factors is calculated; By using the overall evaluation function value, other B basic factor items are selected from the basic factor set to be determined as the expanded key influencing factors.

7. The method according to claim 3, characterized in that include: Collect the reading and writing distance and speed of the transformer electronic tag under different operating voltages; collect the reading and writing distance and speed of the transformer electronic tag under different operating currents; Collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating temperatures; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating surface temperatures; collect the reading and writing distance and speed of the mutual inductor electronic tag under different on-site operating environment humidity; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating vibration amplitudes; collect the reading and writing distance and speed of the mutual inductor electronic tag under different operating vibration frequencies.

8. A device for analyzing key influencing factors of mutual inductor electronic tag performance, characterized in that: include: A basic item and index item acquisition unit, used to acquire the determined basic factor items affecting the performance of the mutual inductor electronic tag and the evaluation index items representing the performance quality; A data acquisition unit, used to acquire the electronic tag performance data of the transformer in a laboratory environment and pre-process the data according to the basic factors affecting the performance and the evaluation index items, and to acquire the electronic tag performance data of the transformer in a field operation environment and pre-process the data; A maximum coefficient formula determination unit is used to propose a maximum information coefficient calculation method between basic factor items and between basic factor items and evaluation index items; The key factor set determination unit is used to use the pre-processed transformer electronic tag performance data in the laboratory environment and the pre-processed transformer electronic tag performance data in the field operation environment, combined with the proposed maximum information coefficient calculation method, to extract at least one key influencing factor from the performance influencing basic factor items or the evaluation index items.

9. A terminal, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method according to any one of claims 1 to 7.

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