CN116068324A - Cable line testing method, system, equipment and medium - Google Patents
Cable line testing method, system, equipment and medium Download PDFInfo
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Abstract
The invention discloses a cable line testing method, a system, equipment and a medium, and relates to the field of cable management, wherein the method comprises the following steps: acquiring a cable line detection index; acquiring a plurality of groups of test data sets according to the cable line detection indexes; introducing a loss function to perform loss analysis on the plurality of cable detectors, adjusting the plurality of groups of test data sets according to the plurality of loss data, and outputting a plurality of groups of adjustment test data sets; generating a first line test matrix by matrixing a plurality of groups of adjustment test data sets; performing standardization processing on the first circuit test matrix, and outputting a second circuit test matrix; and obtaining a circuit test result according to the second circuit test matrix. The cable line testing device solves the technical problems that in the prior art, the testing accuracy of the cable line is insufficient, and then the testing effect of the cable line is poor. The technical effect of improving the testing accuracy of the cable line and the testing quality of the cable line is achieved.
Description
Technical Field
The invention relates to the field of cable management, in particular to a cable line testing method, a system, equipment and a medium.
Background
The electric wire and cable made of polypropylene have the characteristics of large surface hardness, difficult flattening, high softening temperature, small dielectric coefficient, good environmental stress cracking resistance and the like, so the polypropylene cable material is one of the raw materials of the electric wire and cable industry, the rapid development of cities promotes the continuous expansion of the construction scale of a power grid, and more severe requirements are put forward on the safe operation of the power grid. The cable line is used as an important transmission carrier of the power grid, and has important influence on the power supply reliability and safe operation of the power grid.
The polypropylene cable line with good electrical insulation is applied to power grid transmission, so that the safety of the power grid transmission is greatly improved. Testing is an important means of ensuring the normal operation of the cable lines. With the diversification of cabling, the need for testing cabling has also changed dramatically. The research design of the method for carrying out the optimization test on the cable line has very important practical significance.
In the prior art, the test accuracy of the cable line is insufficient, and the technical problem of poor test effect of the cable line is caused.
Disclosure of Invention
The application provides a cable line testing method, a system, equipment and a medium. The cable line testing device solves the technical problems that in the prior art, the testing accuracy of the cable line is insufficient, and then the testing effect of the cable line is poor. The testing accuracy of the cable line is improved, the testing quality of the cable line is improved, and a technical effect of powerful guarantee is provided for the safe operation of the cable line.
In view of the above, the present application provides a cable line testing method, system, device and medium.
In a first aspect, the present application provides a method of cabling testing, wherein the method is applied to a cabling testing system, the system being communicatively coupled to a plurality of cable detectors, the method comprising: acquiring cable line detection indexes respectively corresponding to the plurality of cable detectors; acquiring a plurality of groups of test data sets according to the cable line detection indexes, wherein each group of test data sets comprises a plurality of detection indexes; introducing a loss function to perform loss analysis on the plurality of cable detectors, and acquiring a plurality of loss data corresponding to the plurality of cable detectors; adjusting the plurality of groups of test data sets according to the plurality of loss data, and outputting a plurality of groups of adjustment test data sets; generating a first line test matrix by matrixing the plurality of sets of adjustment test data sets; performing standardization processing on the first circuit test matrix, and outputting a second circuit test matrix; and obtaining a circuit test result according to the second circuit test matrix.
In a second aspect, the present application also provides a cabling testing system, wherein the system is communicatively coupled to a plurality of cable detectors, the system comprising: the detection index acquisition module is used for acquiring detection indexes of the cable lines respectively corresponding to the plurality of cable detectors; the test data set acquisition module is used for acquiring a plurality of groups of test data sets according to the cable line detection indexes, wherein each group of test data sets comprises a plurality of detection indexes; the loss analysis module is used for introducing a loss function to conduct loss analysis on the plurality of cable detectors and acquiring a plurality of loss data corresponding to the plurality of cable detectors; the data adjusting module is used for adjusting the multiple groups of test data sets according to the multiple loss data and outputting multiple groups of adjustment test data sets; the matrixing processing module is used for generating a first line test matrix by matrixing the multiple groups of adjustment test data sets; the standardized processing module is used for carrying out standardized processing on the first circuit test matrix and outputting a second circuit test matrix; the circuit test result acquisition module is used for acquiring a circuit test result according to the second circuit test matrix.
In a third aspect, the present application further provides an electronic device, including: a memory for storing executable instructions; and the processor is used for realizing the cable line testing method when executing the executable instructions stored in the memory.
In a fourth aspect, the present application further provides a computer readable storage medium storing a computer program, which when executed by a processor, implements a cable line testing method provided by the present application.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
detecting the cable lines through a plurality of cable detectors to obtain a plurality of groups of test data sets; carrying out loss analysis on the plurality of cable detectors through a loss function to obtain a plurality of loss data corresponding to the plurality of cable detectors; regulating the multiple groups of test data sets through multiple loss data, and outputting multiple groups of regulation test data sets; generating a first line test matrix by matrixing a plurality of groups of adjustment test data sets; the first line test matrix is subjected to standardized processing, and a second line test matrix is output; and obtaining a circuit test result according to the second circuit test matrix. The testing accuracy of the cable line is improved, the testing quality of the cable line is improved, and a technical effect of powerful guarantee is provided for the safe operation of the cable line.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is apparent that the figures in the following description relate only to some embodiments of the present disclosure and are not limiting of the present disclosure.
FIG. 1 is a schematic flow chart of a method for testing a cable line according to the present application;
FIG. 2 is a schematic flow chart of outputting a second circuit test matrix in the cable circuit test method of the present application;
FIG. 3 is a schematic diagram of a cable testing system according to the present application;
fig. 4 is a schematic structural diagram of an exemplary electronic device of the present application.
Reference numerals illustrate: the system comprises a detection index acquisition module 11, a test data set acquisition module 12, a loss analysis module 13, a data adjustment module 14, a matrixing processing module 15, a normalization processing module 16, a line test result acquisition module 17, a processor 31, a memory 32, an input device 33 and an output device 34.
Detailed Description
The application provides a cable line testing method, a system, equipment and a medium. The cable line testing device solves the technical problems that in the prior art, the testing accuracy of the cable line is insufficient, and then the testing effect of the cable line is poor. The testing accuracy of the cable line is improved, the testing quality of the cable line is improved, and a technical effect of powerful guarantee is provided for the safe operation of the cable line.
Example 1
Referring to fig. 1, the present application provides a cable line testing method, where the method is applied to a cable line testing system, the system is communicatively connected to a plurality of cable detectors, and the method specifically includes the following steps:
step S100: acquiring cable line detection indexes respectively corresponding to the plurality of cable detectors;
step S200: acquiring a plurality of groups of test data sets according to the cable line detection indexes, wherein each group of test data sets comprises a plurality of detection indexes;
specifically, based on the cable line detection index, the cable line is detected for a plurality of times by a plurality of cable detectors, and a plurality of groups of test data sets are obtained. The polypropylene cable is characterized in that the polypropylene cable has certain difference with the line detection of other cables based on the characteristics of high temperature resistance, corrosion resistance and the like in the specific use process, and the cable line detection index is a plurality of detection indexes such as voltage detection index, current detection index, direct current resistance detection index, insulation resistance detection index and the like corresponding to the polypropylene cable. In addition, the detection index of the cable line can be adaptively expanded according to the specific characteristics of the cable line. For example, when the cable line is a polypropylene cable line, the cable line detection index further includes a polypropylene characteristic detection index such as a heat resistance detection index, a dielectric property detection index, an aging property detection index, and the like. The cable line detection index has a corresponding relation with the plurality of cable detectors. Each group of test data sets comprises a plurality of detection indexes in the cable line detection indexes, and a plurality of detection parameter information such as voltage detection parameters, current detection parameters, direct current resistance detection parameters, insulation resistance detection parameters and the like corresponding to the detection indexes. The cable line is detected for multiple times through the plurality of cable detectors, and reliable multiple groups of test data sets are obtained, so that the comprehensive technical effect of testing the cable line is improved.
Step S300: introducing a loss function to perform loss analysis on the plurality of cable detectors, and acquiring a plurality of loss data corresponding to the plurality of cable detectors;
step S400: adjusting the plurality of groups of test data sets according to the plurality of loss data, and outputting a plurality of groups of adjustment test data sets;
specifically, a plurality of cable detectors are subjected to loss analysis by a loss function to obtain a plurality of loss data. And adjusting the multiple groups of test data sets through the multiple loss data to obtain multiple groups of adjustment test data sets. Wherein the loss function is used for representing a plurality of cable detection error information between a plurality of cable detection parameters and a plurality of actual cable parameters of the plurality of cable detectors when the plurality of cable detectors are used for cable line detection. Typical loss functions include 0-1 loss function, absolute loss function, log loss function, and the like. Illustratively, historical data query is performed based on a plurality of cable detectors to obtain a plurality of historical cable detection parameters and a plurality of historical cable detection error information. Based on the loss function, the plurality of historical cable detection parameters and the plurality of historical cable detection error information are continuously self-trained and learned to a convergence state, and then the loss function analysis model can be obtained. And taking a plurality of groups of test data sets as input information, and inputting the input information into a loss function analysis model to obtain a plurality of loss data. And respectively carrying out subtraction calculation on the multiple groups of test data sets and the multiple loss data to obtain multiple groups of adjustment test data sets. The loss function analysis model comprises an input layer, an implicit layer and an output layer. The loss function analysis model has the function of performing intelligent test error analysis on multiple groups of input test data sets. The plurality of loss data includes a plurality of test error information corresponding to the plurality of sets of test data. The technical effects of adaptively adjusting a plurality of groups of test data sets through a plurality of loss data and generating a plurality of groups of adjustment test data sets are achieved, so that the accuracy of cable line testing is improved.
Further, step S300 of the present application further includes:
step S310: acquiring historical detection data sets of the plurality of cable detectors;
step S320: introducing a loss function to perform loss analysis on the historical detection data set to obtain a plurality of historical loss data;
further, step S300 of the present application further includes:
step S321: acquiring a plurality of groups of test sample data sets, wherein the plurality of groups of test sample data sets are in one-to-one correspondence with the plurality of cable detectors and are used for carrying out loss test on the cable detectors;
step S322: acquiring a plurality of groups of test output data sets according to the plurality of groups of test sample data sets;
step S323: and introducing the loss function, and carrying out loss analysis on the multiple groups of test sample data sets and the multiple groups of test output data sets.
Specifically, a loss test is performed on a plurality of cable detectors to obtain a plurality of sets of test sample data sets. And based on the multiple groups of test sample data sets, carrying out output parameter query on the multiple cable detectors to obtain multiple groups of test output data sets. Further, a functional relationship between the plurality of sets of test sample data sets and the plurality of sets of test output data sets is analyzed to obtain a loss mapping function. And taking the historical detection data set as input information, and inputting a loss mapping function to obtain a plurality of historical loss data. The loss test is to perform error test on a plurality of cable detectors under different environmental conditions such as different environmental temperatures, different environmental humidity and the like. Each set of test sample data sets includes a corresponding plurality of test error information for each cable detector under a plurality of different environmental conditions. The plurality of groups of test output data sets comprise a plurality of output parameter information of a plurality of cable detectors corresponding to the plurality of groups of test sample data sets. The historical detection data set comprises a plurality of historical output parameter information corresponding to a plurality of cable detectors. The plurality of historical loss data includes historical output error parameter information corresponding to a plurality of historical detection data sets. The method achieves the technical effect of obtaining a plurality of historical loss data by carrying out loss analysis on the historical detection data set, thereby improving the reliability of identification reminding on a plurality of cable detectors.
Step S330: comparing the plurality of loss data with the plurality of historical loss data, and judging whether loss differences of the plurality of loss data and the plurality of historical loss data are in a preset threshold value or not;
step S340: identifying the cable detector which is not in the preset threshold value, and outputting an identification cable detector;
step S350: and generating first test reminding information according to the identification cable detector.
Specifically, a plurality of loss differences are obtained by performing one-to-one comparison of a plurality of loss data and a plurality of historical loss data. Judging whether the loss differences are in a preset threshold value or not, if the loss differences are not in the preset threshold value, marking the cable detector corresponding to the loss differences, and obtaining the marked cable detector. Based on the identification cable detector, first test reminding information is generated. Wherein the plurality of loss differences includes a plurality of difference information between a plurality of loss data and a plurality of historical loss data. The preset threshold value comprises loss difference range information which is preset and determined. The identification cable detector comprises a cable detector corresponding to a loss difference which is not in a preset threshold value. The first test reminding information is used for representing the abnormal condition of loss of the identification cable detector, the error of the output parameter of the identification cable detector is larger, and the identification cable detector needs to be maintained or replaced in time. The technical effect of adaptively carrying out identification reminding on a plurality of cable detectors by analyzing a plurality of loss data is achieved, so that the accuracy of cable line testing is improved.
Step S500: generating a first line test matrix by matrixing the plurality of sets of adjustment test data sets;
further, step S500 of the present application further includes:
step S510: acquiring the index number of each group of data sets in the plurality of groups of adjustment test data sets;
step S520: judging whether the index number of each group of data sets is the same, and if the index number of each group of data sets is different, acquiring a matrix adaptation instruction;
specifically, index number statistics is performed on multiple groups of adjustment test data sets, respectively, so as to obtain multiple index numbers. The plurality of index numbers includes index numbers for each of the plurality of sets of adjustment test data sets. Judging whether the index number of each group of data sets is the same, if
The index number of each group of data sets is different, and a matrix adaptation instruction is acquired. The matrix adaptation instruction is instruction information for representing that the index number of each group of data sets in the plurality of groups of adjustment test data sets is different, and the index number of each group of data sets needs to be adapted.
Step S530: according to the matrix adaptation instruction, adapting the index number of each group of data sets and outputting a secondary adjustment test data set;
further, step S530 of the present application further includes:
step S531: performing weight analysis on indexes of each group of data sets in the plurality of groups of adjustment test data sets to obtain weight factors;
step S532: and performing sequence processing on the indexes of each group of data sets according to the weight factors, obtaining a sequence processing result, and outputting the secondary adjustment test data set based on the sequence processing result.
Step S540: outputting the first line test matrix with the secondary adjustment test data set.
Specifically, a plurality of detection indexes of each of the plurality of sets of adjustment test data sets are subjected to weight analysis, and weight factors are obtained. And sequencing the detection indexes of each group of data sets in the plurality of groups of adjustment test data sets according to the weight factors to obtain a sequence processing result. And matching the plurality of detection parameter information in the plurality of groups of adjustment test data sets according to the sequence processing result to obtain a secondary adjustment test data set. The first line test matrix is formed from the secondary conditioning test data set. The weight factors comprise a plurality of index weight coefficients corresponding to a plurality of detection indexes of each group of data sets in the plurality of groups of adjustment test data sets. Illustratively, in obtaining the weight factor, the plurality of test indicators of each of the plurality of sets of adjustment test data sets are index value evaluated by a cabling test expert to obtain a plurality of index value evaluation coefficients. The greater the degree of influence of the detection index on the cable line is, the greater the corresponding index value evaluation coefficient is. And outputting the plurality of index value evaluation coefficients as weight factors. The sequence processing result includes a plurality of detection indicators for each of a plurality of sets of adjusted test data sets arranged according to a weight factor. The secondary adjustment test data set comprises a sequence processing result and a plurality of detection parameter information in a plurality of groups of adjustment test data sets which are arranged in a matching way according to the sequence processing result. The first line test matrix includes a data matrix corresponding to a secondary adjustment test data set. The technical effects of generating a first line test matrix and providing data support for the subsequent generation of a second line test matrix are achieved by matrixing a plurality of groups of adjustment test data sets.
Step S600: performing standardization processing on the first circuit test matrix, and outputting a second circuit test matrix;
further, as shown in fig. 2, step S600 of the present application further includes:
step S610: performing characteristic change on the first line test matrix to obtain a first characteristic matrix;
step S620: based on the first feature matrix, a first elementary factor is obtained;
step S630: and carrying out standardization processing on the first circuit test matrix by the first elementary factor, and outputting the second circuit test matrix.
Specifically, a first feature matrix is obtained by performing feature variation on the first line test matrix. And carrying out operation based on the first feature matrix to obtain a first elementary factor. And carrying out standardization processing on the first circuit test matrix according to the first elementary factor to obtain a second circuit test matrix. The characteristic change is that the first line test matrix is operated through a covariance formula, so that the first line test matrix is converted into a covariance matrix. The first feature matrix comprises a covariance matrix corresponding to the first line test matrix. The first prime factor includes eigenvalues and eigenvectors of a first eigenvector matrix. The normalization process is to subtract the average value of the column where the data is located from each data in the first line test matrix and divide the average value by the standard deviation of the column data to obtain a new matrix, and project the new matrix onto the first elementary factor to obtain a second line test matrix. The technical effects of obtaining the second circuit test matrix and improving the data precision by carrying out standardized processing on the first circuit test matrix are achieved.
Step S700: and obtaining a circuit test result according to the second circuit test matrix.
Further, step S700 of the present application further includes:
step S710: decomposing the second circuit test matrix based on a preset test target to obtain a decomposition matrix;
step S720: based on the decomposition matrix, acquiring a plurality of row evaluation results and a plurality of column evaluation results, wherein the row evaluation results are the same as the row order of the decomposition matrix, and the column evaluation results are the same as the column order of the decomposition matrix;
step S730: and acquiring the circuit test result according to the multiple row evaluation results and the multiple column evaluation results.
Specifically, the second line test matrix is decomposed according to a preset test target, and a decomposition matrix is obtained. Based on the decomposition matrix, a plurality of row evaluation results and a plurality of column evaluation results are obtained, and the plurality of row evaluation results and the plurality of column evaluation results are added to the line test result. The preset test targets comprise a plurality of preset test requirement targets of the cable line. The decomposition matrix comprises a plurality of decomposition matrix data of a second circuit test matrix corresponding to a preset test target. The plurality of decomposition matrix data comprise cable line detection indexes corresponding to preset test targets. The row evaluation results and the column evaluation results comprise a plurality of detection parameter information corresponding to the decomposition matrix. And the row evaluation results are the same as the row order of the decomposition matrix, and the column evaluation results are the same as the column order of the decomposition matrix. The line test results comprise a plurality of row evaluation results and a plurality of column evaluation results. The technical effects of obtaining reliable line test results and improving the test quality of the cable line are achieved.
In summary, the cable line testing method provided by the application has the following technical effects:
1. detecting the cable lines through a plurality of cable detectors to obtain a plurality of groups of test data sets; carrying out loss analysis on the plurality of cable detectors through a loss function to obtain a plurality of loss data corresponding to the plurality of cable detectors; regulating the multiple groups of test data sets through multiple loss data, and outputting multiple groups of regulation test data sets; generating a first line test matrix by matrixing a plurality of groups of adjustment test data sets; the first line test matrix is subjected to standardized processing, and a second line test matrix is output; and obtaining a circuit test result according to the second circuit test matrix. The testing accuracy of the cable line is improved, the testing quality of the cable line is improved, and a technical effect of powerful guarantee is provided for the safe operation of the cable line.
2. And carrying out adaptive adjustment on the multiple groups of test data sets through the multiple loss data to generate multiple groups of adjustment test data sets, thereby improving the accuracy of cable line testing.
3. Through analyzing a plurality of loss data, a plurality of cable detectors are adaptively identified and reminded, so that the accuracy of cable line testing is improved.
Example two
Based on the same inventive concept as the cable testing method in the previous embodiment, the present invention further provides a cable testing system, which is communicatively connected to a plurality of cable detectors, referring to fig. 3, the system includes:
the detection index acquisition module 11 is used for acquiring detection indexes of the cable lines respectively corresponding to the plurality of cable detectors;
a test data set obtaining module 12, where the test data set obtaining module 12 is configured to obtain multiple sets of test data sets according to the cable line detection indexes, where each set of test data sets includes multiple detection indexes;
the loss analysis module 13 is configured to introduce a loss function to perform loss analysis on the plurality of cable detectors, so as to obtain a plurality of loss data corresponding to the plurality of cable detectors;
a data adjustment module 14, where the data adjustment module 14 is configured to adjust the multiple sets of test data sets according to the multiple loss data sets, and output multiple sets of adjusted test data sets;
a matrixing processing module 15, where the matrixing processing module 15 is configured to generate a first line test matrix by matrixing the multiple sets of adjustment test data sets;
the standardized processing module 16 is configured to perform standardized processing on the first line test matrix and output a second line test matrix;
the circuit test result obtaining module 17 is configured to obtain a circuit test result according to the second circuit test matrix by using the circuit test result obtaining module 17.
Further, the system further comprises:
the historical detection data acquisition module is used for acquiring historical detection data sets of the plurality of cable detectors;
the historical loss data determining module is used for introducing a loss function to perform loss analysis on the historical detection data set to obtain a plurality of historical loss data;
the loss judging module is used for comparing the plurality of loss data with the plurality of historical loss data to judge whether loss differences of the plurality of loss data and the plurality of historical loss data are in a preset threshold value or not;
the identification module is used for identifying the cable detector which is not in the preset threshold value and outputting an identification cable detector;
and the test reminding information generation module is used for generating first test reminding information according to the identification cable detector.
Further, the system further comprises:
the first execution module is used for acquiring a plurality of groups of test sample data sets, wherein the plurality of groups of test sample data sets are in one-to-one correspondence with the plurality of cable detectors and are used for carrying out loss test on the cable detectors;
the second execution module is used for acquiring a plurality of groups of test output data sets according to the plurality of groups of test sample data sets;
and the third execution module is used for introducing the loss function and carrying out loss analysis on the multiple groups of test sample data sets and the multiple groups of test output data sets.
Further, the system further comprises:
the index number acquisition module is used for acquiring the index number of each group of data sets in the plurality of groups of adjustment test data sets;
the matrix adaptation instruction acquisition module is used for judging whether the index number of each group of data sets is the same or not, and acquiring a matrix adaptation instruction if the index number of each group of data sets is different;
the fourth execution module is used for adapting the index number of each group of data sets according to the matrix adaptation instruction and outputting a secondary adjustment test data set;
and the fifth execution module is used for outputting the first line test matrix by the secondary adjustment test data set.
Further, the system further comprises:
the weight factor determining module is used for carrying out weight analysis on the index of each group of data sets in the plurality of groups of adjustment test data sets to obtain weight factors;
and the sixth execution module is used for carrying out sequence processing on the indexes of each group of data sets according to the weight factors, obtaining a sequence processing result, and outputting the secondary adjustment test data set based on the sequence processing result.
Further, the system further comprises:
the first characteristic matrix determining module is used for carrying out characteristic change on the first line test matrix to obtain a first characteristic matrix;
the first elementary factor determining module is used for obtaining a first elementary factor based on the first feature matrix;
and the second circuit test matrix determining module is used for carrying out standardization processing on the first circuit test matrix by the first elementary factor and outputting the second circuit test matrix.
Further, the system further comprises:
the decomposition matrix determining module is used for decomposing the second circuit test matrix based on a preset test target to obtain a decomposition matrix;
the evaluation result determining module is used for acquiring a plurality of row evaluation results and a plurality of column evaluation results based on the decomposition matrix, wherein the row evaluation results are the same as the row order of the decomposition matrix, and the column evaluation results are the same as the column order of the decomposition matrix;
and the circuit test result determining module is used for acquiring the circuit test result according to the plurality of row evaluation results and the plurality of column evaluation results.
The cable line testing system provided by the embodiment of the invention can execute the cable line testing method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
All the included modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example III
Fig. 4 is a schematic structural diagram of an electronic device provided in a third embodiment of the present invention, and shows a block diagram of an exemplary electronic device suitable for implementing an embodiment of the present invention. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention. As shown in fig. 4, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device may be one or more, in fig. 4, one processor 31 is taken as an example, and the processors 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or other means, in fig. 4, by bus connection is taken as an example.
The memory 32 is a computer readable storage medium that can be used to store software programs, computer executable programs, and modules, such as program instructions/modules corresponding to a cable line testing method in an embodiment of the present invention. The processor 31 executes various functional applications of the computer device and data processing, namely, implements one of the above-described cabling testing methods, by running software programs, instructions, and modules stored in the memory 32.
The application provides a cable line testing method, wherein the method is applied to a cable line testing system, and the method comprises the following steps: detecting the cable lines through a plurality of cable detectors to obtain a plurality of groups of test data sets; carrying out loss analysis on the plurality of cable detectors through a loss function to obtain a plurality of loss data corresponding to the plurality of cable detectors; regulating the multiple groups of test data sets through multiple loss data, and outputting multiple groups of regulation test data sets; generating a first line test matrix by matrixing a plurality of groups of adjustment test data sets; the first line test matrix is subjected to standardized processing, and a second line test matrix is output; and obtaining a circuit test result according to the second circuit test matrix. The cable line testing device solves the technical problems that in the prior art, the testing accuracy of the cable line is insufficient, and then the testing effect of the cable line is poor. The testing accuracy of the cable line is improved, the testing quality of the cable line is improved, and a technical effect of powerful guarantee is provided for the safe operation of the cable line.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A method of cabling testing, the method being applied to a cabling testing system, the system being communicatively coupled to a plurality of cable detectors, the method comprising:
acquiring cable line detection indexes respectively corresponding to the plurality of cable detectors;
acquiring a plurality of groups of test data sets according to the cable line detection indexes, wherein each group of test data sets comprises a plurality of detection indexes;
introducing a loss function to perform loss analysis on the plurality of cable detectors, and acquiring a plurality of loss data corresponding to the plurality of cable detectors;
adjusting the plurality of groups of test data sets according to the plurality of loss data, and outputting a plurality of groups of adjustment test data sets;
generating a first line test matrix by matrixing the plurality of sets of adjustment test data sets;
performing standardization processing on the first circuit test matrix, and outputting a second circuit test matrix;
and obtaining a circuit test result according to the second circuit test matrix.
2. The method of claim 1, wherein after obtaining the plurality of loss data corresponding to the plurality of cable detectors, the method further comprises:
acquiring historical detection data sets of the plurality of cable detectors;
introducing a loss function to perform loss analysis on the historical detection data set to obtain a plurality of historical loss data;
comparing the plurality of loss data with the plurality of historical loss data, and judging whether loss differences of the plurality of loss data and the plurality of historical loss data are in a preset threshold value or not;
identifying the cable detector which is not in the preset threshold value, and outputting an identification cable detector;
and generating first test reminding information according to the identification cable detector.
3. The method of claim 2, wherein the introducing a loss function performs a loss analysis on the historical detection dataset, the method comprising:
acquiring a plurality of groups of test sample data sets, wherein the plurality of groups of test sample data sets are in one-to-one correspondence with the plurality of cable detectors and are used for carrying out loss test on the cable detectors;
acquiring a plurality of groups of test output data sets according to the plurality of groups of test sample data sets;
and introducing the loss function, and carrying out loss analysis on the multiple groups of test sample data sets and the multiple groups of test output data sets.
4. The method of claim 1, wherein generating the first line test matrix by matrixing the plurality of sets of adjustment test data, the method comprising:
acquiring the index number of each group of data sets in the plurality of groups of adjustment test data sets;
judging whether the index number of each group of data sets is the same, and if the index number of each group of data sets is different, acquiring a matrix adaptation instruction;
according to the matrix adaptation instruction, adapting the index number of each group of data sets and outputting a secondary adjustment test data set;
outputting the first line test matrix with the secondary adjustment test data set.
5. The method of claim 4, wherein adapting the number of metrics for each set of data sets according to the matrix adaptation instructions comprises:
performing weight analysis on indexes of each group of data sets in the plurality of groups of adjustment test data sets to obtain weight factors;
and performing sequence processing on the indexes of each group of data sets according to the weight factors, obtaining a sequence processing result, and outputting the secondary adjustment test data set based on the sequence processing result.
6. The method of claim 1, wherein the first line test matrix is normalized to output a second line test matrix, the method further comprising:
performing characteristic change on the first line test matrix to obtain a first characteristic matrix;
based on the first feature matrix, a first elementary factor is obtained;
and carrying out standardization processing on the first circuit test matrix by the first elementary factor, and outputting the second circuit test matrix.
7. The method of claim 1, wherein obtaining a line test result from the second line test matrix comprises:
decomposing the second circuit test matrix based on a preset test target to obtain a decomposition matrix;
based on the decomposition matrix, acquiring a plurality of row evaluation results and a plurality of column evaluation results, wherein the row evaluation results are the same as the row order of the decomposition matrix, and the column evaluation results are the same as the column order of the decomposition matrix;
and acquiring the circuit test result according to the multiple row evaluation results and the multiple column evaluation results.
8. A cabling testing system, wherein the system is communicatively coupled to a plurality of cable detectors, the system comprising:
the detection index acquisition module is used for acquiring detection indexes of the cable lines respectively corresponding to the plurality of cable detectors;
the test data set acquisition module is used for acquiring a plurality of groups of test data sets according to the cable line detection indexes, wherein each group of test data sets comprises a plurality of detection indexes;
the loss analysis module is used for introducing a loss function to conduct loss analysis on the plurality of cable detectors and acquiring a plurality of loss data corresponding to the plurality of cable detectors;
the data adjusting module is used for adjusting the multiple groups of test data sets according to the multiple loss data and outputting multiple groups of adjustment test data sets;
the matrixing processing module is used for generating a first line test matrix by matrixing the multiple groups of adjustment test data sets;
the standardized processing module is used for carrying out standardized processing on the first circuit test matrix and outputting a second circuit test matrix;
the circuit test result acquisition module is used for acquiring a circuit test result according to the second circuit test matrix.
9. An electronic device, the electronic device comprising:
a memory for storing executable instructions;
a processor for implementing a cabling testing method according to any one of claims 1 to 7 when executing executable instructions stored in said memory.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a cabling testing method according to any of claims 1 to 7.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070152677A1 (en) * | 2005-11-03 | 2007-07-05 | Barsumian Bruce R | Surveillance device detection utilizing non-linear junction detection and reflectometry |
| CN103489137A (en) * | 2013-10-17 | 2014-01-01 | 东南大学 | Action sequence determination method for reactive power compensation device of wind power system |
| CN108280476A (en) * | 2018-01-22 | 2018-07-13 | 东华大学 | Based on the human upper limb of principal component analysis and hierarchical cluster band typoiogical classification method |
| CN110333425A (en) * | 2019-07-22 | 2019-10-15 | 上海仁童电子科技有限公司 | A kind of cable detection method and device |
| CN111445110A (en) * | 2020-03-05 | 2020-07-24 | 深圳供电局有限公司 | Cable channel-based environmental risk decision method and device and computer equipment |
| CN115130909A (en) * | 2022-07-21 | 2022-09-30 | 广东电网有限责任公司 | Elasticity index evaluation method based on electric power system missing data reconstruction |
| CN115184193A (en) * | 2022-09-06 | 2022-10-14 | 深圳永贵技术有限公司 | Automatic testing method, device and equipment for cable and storage medium |
| CN115222983A (en) * | 2022-06-20 | 2022-10-21 | 国网山东省电力公司曲阜市供电公司 | Cable damage detection method and system |
| CN115409208A (en) * | 2022-08-02 | 2022-11-29 | 广东电网有限责任公司广州供电局 | Stripped cable repair scheme selection method and device based on risk assessment |
| CN218350401U (en) * | 2022-09-01 | 2023-01-20 | 河南安靠电力工程设计有限公司 | Device for monitoring running state of cable |
-
2023
- 2023-03-16 CN CN202310250334.3A patent/CN116068324B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070152677A1 (en) * | 2005-11-03 | 2007-07-05 | Barsumian Bruce R | Surveillance device detection utilizing non-linear junction detection and reflectometry |
| CN103489137A (en) * | 2013-10-17 | 2014-01-01 | 东南大学 | Action sequence determination method for reactive power compensation device of wind power system |
| CN108280476A (en) * | 2018-01-22 | 2018-07-13 | 东华大学 | Based on the human upper limb of principal component analysis and hierarchical cluster band typoiogical classification method |
| CN110333425A (en) * | 2019-07-22 | 2019-10-15 | 上海仁童电子科技有限公司 | A kind of cable detection method and device |
| CN111445110A (en) * | 2020-03-05 | 2020-07-24 | 深圳供电局有限公司 | Cable channel-based environmental risk decision method and device and computer equipment |
| CN115222983A (en) * | 2022-06-20 | 2022-10-21 | 国网山东省电力公司曲阜市供电公司 | Cable damage detection method and system |
| CN115130909A (en) * | 2022-07-21 | 2022-09-30 | 广东电网有限责任公司 | Elasticity index evaluation method based on electric power system missing data reconstruction |
| CN115409208A (en) * | 2022-08-02 | 2022-11-29 | 广东电网有限责任公司广州供电局 | Stripped cable repair scheme selection method and device based on risk assessment |
| CN218350401U (en) * | 2022-09-01 | 2023-01-20 | 河南安靠电力工程设计有限公司 | Device for monitoring running state of cable |
| CN115184193A (en) * | 2022-09-06 | 2022-10-14 | 深圳永贵技术有限公司 | Automatic testing method, device and equipment for cable and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 刘航: "变压器状态监测数据质量提升和故障识别方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
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