CN115015683A - Cable production performance test method, device, equipment and storage medium - Google Patents

Cable production performance test method, device, equipment and storage medium Download PDF

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CN115015683A
CN115015683A CN202210952146.0A CN202210952146A CN115015683A CN 115015683 A CN115015683 A CN 115015683A CN 202210952146 A CN202210952146 A CN 202210952146A CN 115015683 A CN115015683 A CN 115015683A
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test
path
performance
cable
node
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CN115015683B (en
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曾宪景
杨尚芳
费平
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Shenzhen Yonggui Technology Co ltd
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Shenzhen Yonggui Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention relates to the field of data processing, and discloses a method, a device, equipment and a storage medium for testing the performance of cable production, which are used for improving the accuracy of the performance test of the cable production. The method comprises the following steps: analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, and extracting test environment information; acquiring cable performance data, performing data preprocessing on the cable performance data to obtain standard performance data, and performing data de-noising processing on the standard performance data to obtain target performance data; inputting the target performance data into a cable performance test model to perform cable performance test to obtain an initial performance test result; and performing characteristic analysis on the initial performance test result according to the test environment information to obtain a target performance test result, and performing cluster analysis on the target performance test result to obtain a cable performance test result.

Description

Cable production performance test method, device, equipment and storage medium
Technical Field
The invention relates to the field of data processing, in particular to a method, a device, equipment and a storage medium for testing the performance of cable production.
Background
The cable is used as a wire product for directly connecting the input end of an electrical appliance with an alternating current power grid, and the wire cable is used for transmitting electric energy, information and realizing electromagnetic energy conversion. A wire cable in a broad sense, also referred to as a cable for short, refers to an insulated cable, which can be defined as: an aggregate consisting of; one or more insulated wire cores, and their respective possible coatings, total protective layers and outer jackets, the cable may also have additional conductors without insulation.
The quality direct relation of cable is to the power consumption safety, consequently need test the performance of cable after cable manufacture comes to whether the test cable reaches the power consumption standard, but current scheme is only usually to carry out simple electrically conductive condition analysis to the cable, leads to the analysis of cable not comprehensive, thereby makes performance test's rate of accuracy reduce.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for testing the performance of cable production, which are used for improving the accuracy of the performance test of the cable production.
The invention provides a performance test method for cable production, which comprises the following steps: the method comprises the steps of obtaining test power supply information, test cable information and test electric equipment information during cable performance test, and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information; constructing a test path connection diagram according to the power utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
Optionally, in a first implementation manner of the first aspect of the present invention, the constructing a test path connection diagram according to the power consumption test path, performing connection relationship analysis on the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database includes: acquiring a path connection sequence and a path distance of the power utilization test path, and performing path connection on the power utilization test path according to the path connection sequence and the path distance to generate a test path connection diagram; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node; and acquiring node position information of each path test node, and extracting test environment information corresponding to each path test node from a preset cloud database according to the node position information.
Optionally, in a second implementation manner of the first aspect of the present invention, the performing data preprocessing on the cable performance data of each path test node respectively to obtain standard performance data of each path test node, and performing data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node includes: respectively carrying out data classification on the cable performance data of each path test node to obtain classified cable performance data; carrying out data value interpolation processing on the classified cable performance data to obtain standard performance data of each path test node; extracting noise data from the standard performance data of each path test node according to a preset noise type to obtain noise data; and removing the noise data in the standard performance data of each path test node to obtain the target performance data of each path test node.
Optionally, in a third implementation manner of the first aspect of the present invention, the target performance data of each path test node is respectively input into a preset cable performance test model to perform a cable performance test, so as to obtain an initial performance test result of each path test node, where the cable performance test model includes: a feature extraction network and a performance classification network, comprising: respectively inputting target performance data of each path test node into a preset cable performance test model, wherein the cable performance test model comprises: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network; vector mapping is carried out on target performance data of each path test node through the encoder to obtain a hidden vector, and the hidden vector is input into the decoder to carry out feature extraction to obtain a feature vector; and inputting the characteristic vectors into the double-layer threshold circulating network for fault classification to obtain an initial performance test result of each path test node.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the performing feature analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result includes: extracting information characteristics of the test environment information corresponding to each path test node to obtain environment characteristics; carrying out test result characteristic analysis on the initial performance test result of each path test node according to the environment characteristics to obtain a target performance test result of each path test node; similarity calculation is carried out on the target performance test result of each path test node and a preset performance standard index to obtain a plurality of index similarities; and carrying out cluster analysis according to the similarity of the indexes to obtain a cable performance test result.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the method for testing performance of cable production further includes: respectively calculating the parameter actual distribution of the cable performance data of each path test node, and generating a parameter distribution curve of each path test node according to the parameter actual distribution; extracting target parameter distribution of each path test node according to the parameter distribution curve; and searching the cable fault position and the cable fault type from the cloud database according to the target parameter distribution.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the method for testing performance of cable production further includes: acquiring the testing distance of each path testing node; carrying out cable performance subsection analysis on the initial performance test result of each path test node according to the test distance of each path test node and the test cable information to obtain a plurality of subsection performance analysis results; and performing comprehensive performance analysis on the initial performance test result of each path test node according to the plurality of segmented performance analysis results to obtain a cable performance test result.
The second aspect of the present invention provides a performance testing apparatus for cable production, including: the system comprises an acquisition module, a power consumption detection module and a power consumption detection module, wherein the acquisition module is used for acquiring test power supply information, test cable information and test electric equipment information during cable performance test and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information; the building module is used for building a test path connection diagram according to the power utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database; the acquisition module is used for calling a preset data acquisition terminal to respectively acquire the cable performance data corresponding to the path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; the preprocessing module is used for respectively carrying out data preprocessing on the cable performance data of each path test node to obtain the standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain the target performance data of each path test node; the testing module is used for inputting the target performance data of each path testing node into a preset cable performance testing model to carry out cable performance testing, and obtaining an initial performance testing result of each path testing node, wherein the cable performance testing model comprises: a feature extraction network and a performance classification network; and the analysis module is used for respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
Optionally, in a first implementation manner of the second aspect of the present invention, the building module is specifically configured to: acquiring a path connection sequence and a path distance of the power consumption test path, and performing path connection on the power consumption test path according to the path connection sequence and the path distance to generate a test path connection diagram; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node; and acquiring node position information of each path test node, and extracting test environment information corresponding to each path test node from a preset cloud database according to the node position information.
Optionally, in a second implementation manner of the second aspect of the present invention, the preprocessing module is specifically configured to: respectively carrying out data classification on the cable performance data of each path test node to obtain classified cable performance data; carrying out data value interpolation processing on the classified cable performance data to obtain standard performance data of each path test node; performing noise data extraction on the standard performance data of each path test node according to a preset noise type to obtain noise data; and removing the noise data in the standard performance data of each path test node to obtain the target performance data of each path test node.
Optionally, in a third implementation manner of the second aspect of the present invention, the test module is specifically configured to: respectively inputting target performance data of each path test node into a preset cable performance test model, wherein the cable performance test model comprises: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network; vector mapping is carried out on target performance data of each path test node through the encoder to obtain a hidden vector, and the hidden vector is input into the decoder to carry out feature extraction to obtain a feature vector; and inputting the feature vector into the double-layer threshold cycle network for fault classification to obtain an initial performance test result of each path test node.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the analysis module is specifically configured to: extracting information characteristics of the test environment information corresponding to each path test node to obtain environment characteristics; carrying out test result characteristic analysis on the initial performance test result of each path test node according to the environment characteristics to obtain a target performance test result of each path test node; similarity calculation is carried out on the target performance test result of each path test node and a preset performance standard index, and a plurality of index similarities are obtained; and carrying out cluster analysis according to the similarity of the indexes to obtain a cable performance test result.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the performance testing apparatus for cable production further includes: the processing module is used for respectively calculating the actual parameter distribution of the cable performance data of each path test node and generating a parameter distribution curve of each path test node according to the actual parameter distribution; extracting target parameter distribution of each path test node according to the parameter distribution curve; and searching the cable fault position and the cable fault type from the cloud database according to the target parameter distribution.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the performance testing apparatus for cable production further includes: the output module is used for acquiring the test distance of each path test node; carrying out cable performance subsection analysis on the initial performance test result of each path test node according to the test distance of each path test node and the test cable information to obtain a plurality of subsection performance analysis results; and performing comprehensive performance analysis on the initial performance test result of each path test node according to the plurality of segmented performance analysis results to obtain a cable performance test result.
The third aspect of the present invention provides a performance testing apparatus for cable production, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the cable production performance testing apparatus to perform the cable production performance testing method described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to execute the above-described cable production performance testing method.
According to the technical scheme provided by the invention, a test path connection diagram is constructed according to the power utilization test path, the connection relation of the test path connection diagram is analyzed to obtain a plurality of path test nodes, and test environment information corresponding to each path test node is extracted from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result. According to the invention, an actual application environment is established for the cable performance test, so that the cable performance test is more real and reliable, intelligent data analysis is carried out by collecting cable performance data corresponding to a plurality of path test nodes and combining test environment information corresponding to each path test node, and an artificial intelligent model of a cable performance test model is introduced for performance test classification, so that the accuracy of the performance test of cable production is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a method for testing the performance of cable production in an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a performance testing method for cable production according to an embodiment of the invention;
FIG. 3 is a schematic view of an embodiment of a performance testing apparatus for cable production according to an embodiment of the present invention;
FIG. 4 is a schematic view of another embodiment of a performance testing apparatus for cable production according to an embodiment of the present invention;
fig. 5 is a schematic diagram of an embodiment of a performance testing device for cable production according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a device, equipment and a storage medium for testing the performance of cable production, which are used for improving the accuracy of the performance test of the cable production. The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a method for testing the performance of cable production in an embodiment of the present invention includes:
101. the method comprises the steps of obtaining test power supply information, test cable information and test electric equipment information during cable performance test, and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information;
it is to be understood that the execution subject of the present invention may be a performance testing apparatus for cable production, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
It should be noted that, after the cable is produced, a tester needs to set up a test environment for the cable, test the target cable by adopting different power supplies and electric equipment according to different types of the cable, obtain test power supply information, test cable information and test electric equipment information during the cable performance test in the process of the cable performance test, electrically connect the test power supply information and the test electric equipment information through the target cable, and obtain an electric test path between the test power supply information and the test electric equipment information. The embodiment tests the cable to be tested according to the application of the cable to be tested and the limit surrounding environment to be tested, the test power supply information can be regulated, and the test electric equipment is provided with a plurality of different electric equipment according to the power so as to test the real performance data of the cable in different use environments.
102. Constructing a test path connection diagram according to the electricity utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database;
specifically, in this embodiment, a path connection sequence and a path distance are determined according to an electricity consumption test path, two-dimensional coordinate mapping is performed on the path connection sequence and the path distance to determine a plurality of coordinate points, and then the plurality of coordinate points are connected in a two-dimensional coordinate system to perform path connection on the electricity consumption test path to generate a test path connection diagram; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the plurality of path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node; the method comprises the steps of obtaining node position information of each path test node, storing set external influence factors in a cloud database in advance, and extracting the external influence factors corresponding to each path test node from the preset cloud database according to the node position information, wherein the external influence factors are used for indicating test environment information.
103. Calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to a plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data;
it should be noted that, a tester is provided with a data acquisition terminal at a plurality of path test nodes in advance, and the data acquisition terminal includes: a current sensor, a voltage sensor, a resistance sensor and a temperature sensor; respectively acquiring cable performance data corresponding to the plurality of path test nodes through the data acquisition terminal to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; in the embodiment, the electric energy transmission efficiency, the resistivity and the thermal conductivity of the test cable can be calculated through the current data and the voltage data, and the performance data of the test cable has the following characteristics in the performance test process of the test cable: voltage data: the change is large under the influence of line load fluctuation and faults; current data: the change is large under the influence of line load fluctuation and faults; resistance data: the variation is large under the influence of line load property and faults; temperature data, influenced by the surrounding environment. In this embodiment, the four cable performance data are used as monitoring and analyzing objects, so that various performances of the cable can be detected more comprehensively.
104. Respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node;
specifically, in order to improve the accuracy of the cable performance test and enable the cable performance data to have relevance, data preprocessing is performed on the cable performance data of each path test node respectively to obtain the standard performance data of each path test node, wherein the data preprocessing mainly includes data classification and data value interpolation processing on the cable performance data, and then data denoising processing is performed on the standard performance data of each path test node to obtain the target performance data of each path test node, and the denoising processing adopts a filter function to denoise the standard performance data.
105. Respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network;
it should be noted that the preset cable performance test model is mainly a performance detection model based on a feature extraction network and a performance classification network, and the feature extraction network is used for performing feature extraction on target performance data of each path test node, and the extracted feature vectors are used as input of the performance classification network to construct the cable performance test model. Compared with the traditional cable performance test, the model based on the feature extraction network and the performance classification network can accurately detect and identify the early faults of the test cable from various disturbance performance tests.
106. And respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
Specifically, firstly, the initial performance test result of each path test node is subjected to characteristic analysis, the characteristic analysis process is to perform comprehensive analysis on the test environment information of the path test node where the initial performance test result is displayed to be abnormal according to the test environment information of the path test node where the initial performance test result is located so as to eliminate the deviation of the test result caused by external environment factors and improve the accuracy of detection, wherein the cable performance test result is used for indicating the probability of the fault of the test cable, the initial performance test result in the decomposition section corresponding to the path test node is counted, when the whole test cable has only one fault, the fault is used as the detected initial performance test result, and when the whole test cable has multiple faults, the probability of the fault in the whole test cable is recalculated according to the probability of the fault in the decomposition section of the fault path test node. The number of test cable breakout sections in the entire test cable. When a plurality of positions of the test cable have faults simultaneously, the branch switch can be pulled open, and the initial performance test result is processed by decomposing sections one by one according to the fault position detected by the system. It is often the case that a test cable has only one initial performance test result, i.e. there is only one fault in the split section of the test cable.
In the embodiment of the invention, a test path connection diagram is constructed according to the electricity utilization test path, the connection relation of the test path connection diagram is analyzed to obtain a plurality of path test nodes, and test environment information corresponding to each path test node is extracted from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises the following steps: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result. According to the invention, an actual application environment is set up for cable performance test, so that the performance test of the cable is more real and reliable, intelligent data analysis is carried out by collecting cable performance data corresponding to a plurality of path test nodes and combining test environment information corresponding to each path test node, and an artificial intelligent model of a cable performance test model is introduced for performance test classification, so that the accuracy of the performance test of cable production is improved.
Referring to fig. 2, another embodiment of the performance testing method for cable production according to the embodiment of the present invention includes:
201. the method comprises the steps of obtaining test power supply information, test cable information and test electric equipment information during cable performance test, and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information;
it should be noted that, after the cable is produced, a tester needs to set up a test environment for the cable, test the target cable by adopting different power supplies and electric equipment according to different types of the cable, obtain test power supply information, test cable information and test electric equipment information during the cable performance test in the process of the cable performance test, electrically connect the test power supply information and the test electric equipment information through the target cable, and obtain an electric test path between the test power supply information and the test electric equipment information. The embodiment tests the cable to be tested according to the application of the cable to be tested and the limit surrounding environment to be tested, the test power supply information can be regulated and controlled, and the test electric equipment is provided with a plurality of different electric equipment according to the power so as to test the real performance data of the cable in different use environments.
202. Constructing a test path connection diagram according to the electricity utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database;
specifically, a path connection sequence and a path distance of the power consumption test path are obtained, path connection is performed on the power consumption test path according to the path connection sequence and the path distance, and a test path connection diagram is generated; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the plurality of path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node; the method comprises the steps of obtaining node position information of each path test node, extracting test environment information corresponding to each path test node from a preset cloud database according to the node position information, obtaining node position information of each path test node, storing a set external influence factor in the cloud database in advance, extracting the external influence factor corresponding to each path test node from the preset cloud database according to the node position information, and using the external influence factor to indicate the test environment information.
203. Calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to a plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data;
it should be noted that, a tester is provided with a data acquisition terminal at a plurality of path test nodes in advance, and the data acquisition terminal includes: a current sensor, a voltage sensor, a resistance sensor and a temperature sensor; respectively acquiring cable performance data corresponding to the plurality of path test nodes through the data acquisition terminal to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; in the embodiment, the electric energy transmission efficiency, the resistivity and the thermal conductivity of the test cable can be calculated through the current data and the voltage data, and the performance data of the test cable has the following characteristics in the performance test process of the test cable: voltage data: the change is large under the influence of line load fluctuation and faults; current data: the change is large under the influence of line load fluctuation and faults; resistance data: the variation is large under the influence of line load property and faults; temperature data, influenced by the surrounding environment. In this embodiment, the four cable performance data are used as monitoring and analyzing objects, so that various performances of the cable can be detected more comprehensively.
204. Respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node;
specifically, data classification is carried out on the cable performance data of each path test node respectively to obtain the classified cable performance data; performing data value interpolation processing on the classified cable performance data to obtain standard performance data of each path test node; extracting noise data from the standard performance data of each path test node according to a preset noise type to obtain noise data; removing noise data in the standard performance data of each path test node to obtain target performance data of each path test node, further extracting the noise data and performing region growing method processing by using the non-connectivity of noise and the surrounding environment, wherein the region growing method processing step comprises the following steps: determining a radius a, and finding out a point with the most points in the grid as a seed point; the selected seed points are combined with peripheral points by radius b to fit a plane by using least square; if the included angle between the connecting line of the non-seed point and the seed point in the radius b is larger than a threshold value, classifying the non-seed point as a noise point, otherwise, classifying the non-seed point as a non-noise point; circulating the non-noise points in the large grid as new seed points until all the points are classified; the small mesh is again processed using global region growing.
205. Respectively inputting the target performance data of each path test node into a preset cable performance test model, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network;
specifically, the target performance data of each path test node is respectively input into a preset cable performance test model, wherein the cable performance test model comprises: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network; the feature extraction network is a neural network with the same input and learning targets, the structure of the neural network is divided into an encoder and a decoder, an input space x and a feature space h are given, the self-encoder solves the mapping f and g of the input space x and the feature space h to enable the reconstruction error of the input features to be minimum, and after the solution is completed, the hidden layer features h output by the encoder, namely the 'encoding features' can be regarded as the representation of the input data x.
206. Vector mapping is carried out on target performance data of each path test node through an encoder to obtain a hidden vector, and the hidden vector is input into a decoder to carry out feature extraction to obtain a feature vector;
specifically, the encoder performs vector mapping on target performance data of each path test node to obtain a hidden vector, the hidden vector is input into a decoder to perform feature extraction to obtain a feature vector, the decoder adopts a two-layer threshold cycle unit structure, a first-layer threshold unit GRU adopts one-way connection, each GRU unit adopts an output vector of a corresponding decoder GRU unit as constraint, the output first-layer hidden vector continues to be input into a second-layer GRU unit, and the second-layer GRU unit adopts a plurality of one-way connection GRU structures. In this embodiment, each GRU unit of the first layer corresponds to one unidirectional GRU connection of the second layer. The encoder adopts a bidirectional threshold circulating unit structure, combines the advantages of a circulating neural network and an autoencoder, and the decoder consists of a unidirectional threshold circulating unit. The recurrent neural network can more effectively process sequence data of texts due to the natural sequential structural property of the recurrent neural network, and therefore, the phonogram data can be effectively processed and converted into the feature vector.
207. Inputting the feature vectors into a double-layer threshold circulating network for fault classification to obtain an initial performance test result of each path test node;
it should be noted that the double-layer threshold cycle network structure is composed of 256 double-layer threshold cycle units, wherein the forward output dimension of the double-layer threshold cycle network is 256 hidden state vectors, that is, forward hidden state vectors; and (3) backward outputting a hidden state vector with a dimensionality of 256, namely a backward hidden state vector, of the double-layer threshold circulating network, connecting the hidden state vectors with the dimensionalities of 256 to obtain a target hidden code vector with a dimensionality of 512, and obtaining an initial performance test result of each path test node according to the output probability of the target hidden code vector.
208. And respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
Specifically, information feature extraction is carried out on test environment information corresponding to each path test node to obtain environment features; carrying out test result characteristic analysis on the initial performance test result of each path test node according to the environmental characteristics to obtain a target performance test result of each path test node; similarity calculation is carried out on the target performance test result of each path test node and a preset performance standard index to obtain a plurality of index similarities; and carrying out cluster analysis according to the similarity of the indexes to obtain a cable performance test result. Firstly, the initial performance test result of each path test node is subjected to characteristic analysis, and the characteristic analysis process is to comprehensively analyze the test environment information of the path test node in which the initial performance test result is displayed to be abnormal according to the initial performance test result, so that the deviation of the test result caused by external environment factors is eliminated, and the detection accuracy is improved.
Optionally, the parameter actual distribution of the cable performance data of each path test node is respectively calculated, and a parameter distribution curve of each path test node is generated according to the parameter actual distribution; extracting target parameter distribution of each path test node according to the parameter distribution curve; and searching the cable fault position and the cable fault type from the cloud database according to the target parameter distribution.
Specifically, according to the data provided by each data acquisition terminal, the actual distribution of the parameters of the cable performance data of each path test node is respectively calculated by data interpolation due to the randomness of the distribution of the data acquisition terminals. And extracting target parameter distribution of each path test node, target parameter distribution caused by load, environmental factors and pulse faults from each parameter distribution curve by adopting wavelet transformation according to the parameter distribution curves, searching cable fault positions and cable fault types from a cloud database according to the target parameter distribution, and analyzing the positions and the types of the line faults. The present embodiment mainly studies the line fault under the following five conditions: short-circuit faults of different transition resistances at the same place; short-circuit faults of the same transition resistor at different places; ground faults of different transition resistances at the same place: the ground faults of the same transition resistor at different places; an open circuit fault.
Optionally, a test distance of each path test node is obtained; carrying out cable performance subsection analysis on the initial performance test result of each path test node according to the test distance of each path test node and the test cable information to obtain a plurality of subsection performance analysis results; and performing comprehensive performance analysis on the initial performance test result of each path test node according to the plurality of segmented performance analysis results to obtain a cable performance test result.
Specifically, the output of the cable performance test model is a fault judgment result according to one parameter in a certain test cable decomposition section. Therefore, the neural network judges the types and positions of the five initial performance test results according to the voltage, the current, the resistance, the capacitance and the inductance respectively, and simultaneously marks that the probability of the fault at each position is 20%. When the distance between any two initial performance test result positions in the decomposition section of one test cable is less than 2% of the total length of the test cable, the mean value of the two initial performance test result positions is used as a new fault position, the fault type and the fault release probability are marked, and the two adjacent fault positions are brushed away. The fault type is the intersection of the sets of fault types at the two locations: the failure probability is the sum of the failure probabilities of the two locations. The above operations are repeatedly performed until the condition is not satisfied. And when the distance between any two initial performance test result positions in the test cable decomposition section is more than 2 percent of the total length of the test cable, outputting the fault type, the fault position and the probability of the fault in the test cable decomposition section.
In the embodiment of the invention, a test path connection diagram is constructed according to the electricity utilization test path, the connection relation of the test path connection diagram is analyzed to obtain a plurality of path test nodes, and test environment information corresponding to each path test node is extracted from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to a plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result. According to the invention, an actual application environment is established for the cable performance test, so that the cable performance test is more real and reliable, intelligent data analysis is carried out by collecting cable performance data corresponding to a plurality of path test nodes and combining test environment information corresponding to each path test node, and an artificial intelligent model of a cable performance test model is introduced for performance test classification, so that the accuracy of the performance test of cable production is improved.
With reference to fig. 3, the method for testing the performance of cable production in the embodiment of the present invention is described above, and the apparatus for testing the performance of cable production in the embodiment of the present invention is described below, where an embodiment of the apparatus for testing the performance of cable production in the embodiment of the present invention includes:
the acquisition module 301 is configured to acquire test power supply information, test cable information, and test electrical equipment information during a cable performance test, and generate an electrical test path according to the test power supply information, the test cable information, and the test electrical equipment information;
a building module 302, configured to build a test path connection graph according to the power consumption test path, perform connection relationship analysis on the test path connection graph to obtain a plurality of path test nodes, and extract test environment information corresponding to each path test node from a preset cloud database;
an acquisition module 303, configured to invoke a preset data acquisition terminal to respectively acquire cable performance data corresponding to the multiple path test nodes, to obtain cable performance data of each path test node, where the cable performance data includes: current data, voltage data, resistance data, and temperature data;
the preprocessing module 304 is configured to perform data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and perform data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node;
a testing module 305, configured to input the target performance data of each path testing node into a preset cable performance testing model for performing a cable performance test, so as to obtain an initial performance testing result of each path testing node, where the cable performance testing model includes: a feature extraction network and a performance classification network;
the analysis module 306 is configured to perform feature analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node, to obtain a target performance test result of each path test node, and perform cluster analysis on the target performance test result of each path test node, to obtain a cable performance test result.
In the embodiment of the invention, a test path connection diagram is constructed according to the power utilization test path, the connection relation of the test path connection diagram is analyzed to obtain a plurality of path test nodes, and test environment information corresponding to each path test node is extracted from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result. According to the invention, an actual application environment is set up for cable performance test, so that the performance test of the cable is more real and reliable, intelligent data analysis is carried out by collecting cable performance data corresponding to a plurality of path test nodes and combining test environment information corresponding to each path test node, and an artificial intelligent model of a cable performance test model is introduced for performance test classification, so that the accuracy of the performance test of cable production is improved.
Referring to fig. 4, another embodiment of the performance testing apparatus for cable production according to the embodiment of the present invention includes:
the acquisition module 301 is configured to acquire test power supply information, test cable information, and test electrical equipment information during a cable performance test, and generate an electrical test path according to the test power supply information, the test cable information, and the test electrical equipment information;
a building module 302, configured to build a test path connection graph according to the power consumption test path, perform connection relationship analysis on the test path connection graph to obtain a plurality of path test nodes, and extract test environment information corresponding to each path test node from a preset cloud database;
an acquisition module 303, configured to invoke a preset data acquisition terminal to respectively acquire cable performance data corresponding to the multiple path test nodes, to obtain cable performance data of each path test node, where the cable performance data includes: current data, voltage data, resistance data, and temperature data;
the preprocessing module 304 is configured to perform data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and perform data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node;
a testing module 305, configured to input the target performance data of each path testing node into a preset cable performance testing model for performing a cable performance test, so as to obtain an initial performance testing result of each path testing node, where the cable performance testing model includes: a feature extraction network and a performance classification network;
the analysis module 306 is configured to perform feature analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node, to obtain a target performance test result of each path test node, and perform cluster analysis on the target performance test result of each path test node, to obtain a cable performance test result.
Optionally, the building module 302 is specifically configured to: acquiring a path connection sequence and a path distance of the power consumption test path, and performing path connection on the power consumption test path according to the path connection sequence and the path distance to generate a test path connection diagram; analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the plurality of path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node; and acquiring node position information of each path test node, and extracting test environment information corresponding to each path test node from a preset cloud database according to the node position information.
Optionally, the preprocessing module 304 is specifically configured to: respectively carrying out data classification on the cable performance data of each path test node to obtain classified cable performance data; carrying out data value interpolation processing on the classified cable performance data to obtain standard performance data of each path test node; extracting noise data from the standard performance data of each path test node according to a preset noise type to obtain noise data; and removing the noise data in the standard performance data of each path test node to obtain the target performance data of each path test node.
Optionally, the test module 305 is specifically configured to: respectively inputting target performance data of each path test node into a preset cable performance test model, wherein the cable performance test model comprises: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network; vector mapping is carried out on target performance data of each path test node through the encoder to obtain a hidden vector, and the hidden vector is input into the decoder to carry out feature extraction to obtain a feature vector; and inputting the feature vector into the double-layer threshold cycle network for fault classification to obtain an initial performance test result of each path test node.
Optionally, the analysis module 306 is specifically configured to: extracting information characteristics of the test environment information corresponding to each path test node to obtain environment characteristics; performing test result characteristic analysis on the initial performance test result of each path test node according to the environment characteristics to obtain a target performance test result of each path test node; similarity calculation is carried out on the target performance test result of each path test node and a preset performance standard index to obtain a plurality of index similarities; and carrying out cluster analysis according to the similarity of the indexes to obtain a cable performance test result.
Optionally, the performance testing apparatus for cable production further includes:
the processing module 307 is configured to calculate actual parameter distribution of the cable performance data of each path test node, and generate a parameter distribution curve of each path test node according to the actual parameter distribution; extracting target parameter distribution of each path test node according to the parameter distribution curve; and searching the cable fault position and the cable fault type from the cloud database according to the target parameter distribution.
Optionally, the performance testing apparatus for cable production further includes:
an output module 308, configured to obtain a test distance of each path test node; carrying out cable performance subsection analysis on the initial performance test result of each path test node according to the test distance of each path test node and the test cable information to obtain a plurality of subsection performance analysis results; and performing comprehensive performance analysis on the initial performance test result of each path test node according to the plurality of segmented performance analysis results to obtain a cable performance test result.
In the embodiment of the invention, a test path connection diagram is constructed according to the power utilization test path, the connection relation of the test path connection diagram is analyzed to obtain a plurality of path test nodes, and test environment information corresponding to each path test node is extracted from a preset cloud database; calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data; respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node; respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network; and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result. According to the invention, an actual application environment is established for the cable performance test, so that the cable performance test is more real and reliable, intelligent data analysis is carried out by collecting cable performance data corresponding to a plurality of path test nodes and combining test environment information corresponding to each path test node, and an artificial intelligent model of a cable performance test model is introduced for performance test classification, so that the accuracy of the performance test of cable production is improved.
Fig. 3 and 4 describe the performance testing apparatus for cable production in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the performance testing apparatus for cable production in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 5 is a schematic structural diagram of a performance testing apparatus 500 for cable production according to an embodiment of the present invention, where the performance testing apparatus 500 for cable production may have relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) for storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations in the performance testing apparatus 500 for cable production. Further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the cable production performance testing device 500.
The cable production performance testing apparatus 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. It will be appreciated by those skilled in the art that the cable production performance testing apparatus configuration shown in figure 5 does not constitute a limitation of the cable production performance testing apparatus and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
The invention also provides a performance testing device for cable production, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the performance testing method for cable production in the above embodiments.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, which may also be a volatile computer readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the method for performance testing of cable production.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a portable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A performance test method for cable production is characterized by comprising the following steps:
the method comprises the steps of obtaining test power supply information, test cable information and test electric equipment information during cable performance test, and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information;
constructing a test path connection diagram according to the power utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database;
calling a preset data acquisition terminal to respectively acquire cable performance data corresponding to the plurality of path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data;
respectively carrying out data preprocessing on the cable performance data of each path test node to obtain standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain target performance data of each path test node;
respectively inputting the target performance data of each path test node into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises the following steps: a feature extraction network and a performance classification network;
and respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
2. The method for testing the performance of cable production according to claim 1, wherein the step of constructing a test path connection diagram according to the power utilization test path, analyzing a connection relationship of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database includes:
acquiring a path connection sequence and a path distance of the power consumption test path, and performing path connection on the power consumption test path according to the path connection sequence and the path distance to generate a test path connection diagram;
analyzing the connection relation of the test path connection graph to obtain a plurality of path test nodes, wherein the plurality of path test nodes comprise: the system comprises a cable intersection node, a cable branch node, a power transmission node, a power utilization node and a cable middle node;
and acquiring node position information of each path test node, and extracting test environment information corresponding to each path test node from a preset cloud database according to the node position information.
3. The method for testing the performance of cable production according to claim 1, wherein the pre-processing the cable performance data of each path testing node to obtain the standard performance data of each path testing node, and de-noising the standard performance data of each path testing node to obtain the target performance data of each path testing node comprises:
respectively carrying out data classification on the cable performance data of each path test node to obtain classified cable performance data;
carrying out data value interpolation processing on the classified cable performance data to obtain standard performance data of each path test node;
extracting noise data from the standard performance data of each path test node according to a preset noise type to obtain noise data;
and removing the noise data in the standard performance data of each path test node to obtain the target performance data of each path test node.
4. The method for testing the performance of cable production according to claim 1, wherein the target performance data of each path test node is input into a preset cable performance test model for cable performance test to obtain an initial performance test result of each path test node, wherein the cable performance test model comprises: a feature extraction network and a performance classification network comprising:
respectively inputting target performance data of each path test node into a preset cable performance test model, wherein the cable performance test model comprises: a feature extraction network and a performance classification network, the feature extraction network comprising: an encoder and a decoder, the performance classification network comprising: a double-layer threshold cycle network;
vector mapping is carried out on target performance data of each path test node through the encoder to obtain a hidden vector, and the hidden vector is input into the decoder to carry out feature extraction to obtain a feature vector;
and inputting the feature vector into the double-layer threshold cycle network for fault classification to obtain an initial performance test result of each path test node.
5. The method for testing the performance of cable production according to claim 1, wherein the performing the characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain the target performance test result of each path test node, and performing the cluster analysis on the target performance test result of each path test node to obtain the cable performance test result comprises:
extracting information characteristics of the test environment information corresponding to each path test node to obtain environment characteristics;
carrying out test result characteristic analysis on the initial performance test result of each path test node according to the environment characteristics to obtain a target performance test result of each path test node;
similarity calculation is carried out on the target performance test result of each path test node and a preset performance standard index, and a plurality of index similarities are obtained;
and carrying out cluster analysis according to the similarity of the indexes to obtain a cable performance test result.
6. The method for performance testing of a cable production of claim 1, further comprising:
respectively calculating the parameter actual distribution of the cable performance data of each path test node, and generating a parameter distribution curve of each path test node according to the parameter actual distribution;
extracting target parameter distribution of each path test node according to the parameter distribution curve;
and searching the cable fault position and the cable fault type from the cloud database according to the target parameter distribution.
7. The method for performance testing of a cable production of any one of claims 1-6, further comprising:
acquiring the test distance of each path test node;
carrying out cable performance subsection analysis on the initial performance test result of each path test node according to the test distance of each path test node and the test cable information to obtain a plurality of subsection performance analysis results;
and performing comprehensive performance analysis on the initial performance test result of each path test node according to the plurality of segmented performance analysis results to obtain a cable performance test result.
8. A performance testing device for cable production is characterized by comprising:
the system comprises an acquisition module, a power consumption detection module and a power consumption detection module, wherein the acquisition module is used for acquiring test power supply information, test cable information and test electric equipment information during cable performance test and generating an electric test path according to the test power supply information, the test cable information and the test electric equipment information;
the building module is used for building a test path connection diagram according to the power utilization test path, analyzing the connection relation of the test path connection diagram to obtain a plurality of path test nodes, and extracting test environment information corresponding to each path test node from a preset cloud database;
the acquisition module is used for calling a preset data acquisition terminal to respectively acquire the cable performance data corresponding to the path test nodes to obtain the cable performance data of each path test node, wherein the cable performance data comprises: current data, voltage data, resistance data, and temperature data;
the preprocessing module is used for respectively carrying out data preprocessing on the cable performance data of each path test node to obtain the standard performance data of each path test node, and carrying out data denoising processing on the standard performance data of each path test node to obtain the target performance data of each path test node;
the testing module is used for inputting the target performance data of each path testing node into a preset cable performance testing model to carry out cable performance testing, and obtaining an initial performance testing result of each path testing node, wherein the cable performance testing model comprises: a feature extraction network and a performance classification network;
and the analysis module is used for respectively performing characteristic analysis on the initial performance test result of each path test node according to the test environment information corresponding to each path test node to obtain a target performance test result of each path test node, and performing cluster analysis on the target performance test result of each path test node to obtain a cable performance test result.
9. A performance testing apparatus for cable production, comprising: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invoking the instructions in the memory to cause the cable production performance testing apparatus to perform the cable production performance testing method of any of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement a method for performance testing of cable production according to any of claims 1-7.
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