CN115655384A - Flexible aluminum alloy conductor performance detection and evaluation method and system - Google Patents
Flexible aluminum alloy conductor performance detection and evaluation method and system Download PDFInfo
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- 239000004020 conductor Substances 0.000 title claims abstract description 225
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Abstract
The invention discloses a method and a system for detecting and evaluating the performance of a flexible aluminum alloy conductor, which relate to the technical field of data processing, and the method comprises the following steps: the process numerical control system is connected with the target conductor and used for acquiring a plurality of processing data sets corresponding to the plurality of process modules; analyzing a target conductor to obtain conductor manufacturing structure data, drawing extension data and annealing control data; building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension; inputting the data into a multidimensional quality analysis model; obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index, and outputting a conductor evaluation result. The invention solves the technical problems that the detection of the conductor performance is not comprehensive enough and the evaluation result is unreliable in the prior art, and achieves the technical effects of improving the detection efficiency of the aluminum alloy conductor performance and improving the accuracy of the evaluation result.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for detecting and evaluating the performance of a flexible aluminum alloy conductor.
Background
With the improvement of economic level, the wire and cable industry develops rapidly, and as an important raw material of a cable, the demand of an aluminum alloy conductor is greatly increased. Therefore, the research on the improvement of the manufacturing process of the aluminum alloy conductor has very important significance for guaranteeing the requirements of the cable industry.
At present, with the continuous increase of aluminum alloy conductor manufacturers, the manufacturing levels are uneven, part of manufacturers do not have the efficient detection capability on the conductor performance, and still perform item-by-item detection on the conductor performance indexes, and detect the conductor performance through quality inspection personnel. However, the method for manually evaluating the performance of the conductor is not only limited by the capability of inspectors, but also has low inspection efficiency and no comprehensive analysis condition, so that the detection result is unreliable, and the result of detecting items is omitted. The technical problems that conductor performance detection is not comprehensive enough and an evaluation result is unreliable in the prior art are solved.
Disclosure of Invention
The application provides a method and a system for detecting and evaluating the performance of a flexible aluminum alloy conductor, which are used for solving the technical problems that the performance of the conductor is not comprehensive enough and the evaluation result is unreliable in the prior art.
In view of the above problems, the present application provides a method and a system for detecting and evaluating the performance of a flexible aluminum alloy conductor.
In a first aspect of the present application, a flexible aluminum alloy conductor performance detection and evaluation method is provided, where the method is applied to a flexible aluminum alloy conductor performance detection and evaluation system, the system is in communication connection with a data acquisition device, and the method includes:
the method comprises the steps that a process numerical control system connected with a target conductor acquires a plurality of processing data sets corresponding to a plurality of process modules, wherein the plurality of process modules comprise a manufacturing process module, a drawing process module and an annealing process module;
analyzing the target conductor according to the plurality of processing data sets to obtain conductor manufacturing structure data, drawing extension data and annealing control data;
building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
inputting the conductor manufacturing structure data, the drawing extension data and the annealing control data into the multidimensional mass analysis model;
obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
and outputting a conductor evaluation result according to the tensile quality index, the drawing quality index and the annealing quality index.
In a second aspect of the present application, a flexible aluminum alloy conductor performance detection and evaluation system is provided, the system comprising:
the processing data set obtaining module is used for connecting a process numerical control system of a target conductor and obtaining a plurality of processing data sets corresponding to a plurality of process modules, wherein the plurality of process modules comprise a manufacturing process module, a drawing process module and an annealing process module;
the structural data acquisition module is used for analyzing the target conductor according to the plurality of processing data sets to acquire conductor manufacturing structural data, drawing extension data and annealing control data;
the analysis model building module is used for building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
a model data input module for inputting the conductor fabrication structure data, the drawing extension data, and the annealing control data into the multidimensional mass analysis model;
the analysis index obtaining module is used for obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
and the evaluation result output module is used for outputting conductor evaluation results according to the tensile quality index, the drawing quality index and the annealing quality index.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of collecting processing data corresponding to a plurality of process modules through a process numerical control system connected with a target conductor to obtain a plurality of processing data sets, wherein the process modules comprise a manufacturing process module, a drawing process module and an annealing process module, analyzing the target conductor according to the processing data sets to obtain conductor manufacturing structure data, drawing extension data and annealing control data, analyzing the data through building an intelligent multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension, inputting the conductor manufacturing structure data, the drawing extension data and the annealing control data into the multidimensional quality analysis model, and further obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model. The technical effects of efficiently evaluating the conductor and improving the comprehensiveness and accuracy of evaluation are achieved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a flexible aluminum alloy conductor performance detection and evaluation method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for detecting and evaluating the performance of a flexible aluminum alloy conductor according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart illustrating generation of a prompt message in a method for detecting and evaluating performance of a flexible aluminum alloy conductor according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a system for detecting and evaluating performance of a flexible aluminum alloy conductor according to an embodiment of the present application.
Description of the reference numerals: the system comprises a processing data set obtaining module 11, a structural data obtaining module 12, an analysis model building module 13, a model data input module 14, an analysis index obtaining module 15 and an evaluation result output module 16.
Detailed Description
The application provides a flexible aluminum alloy conductor performance detection and evaluation method, which is used for solving the technical problems that in the prior art, conductor performance detection is not comprehensive enough and evaluation results are unreliable.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server 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 modules not expressly listed or inherent to such process, method, article, or apparatus.
Example one
As shown in fig. 1, the present application provides a method for detecting and evaluating the performance of a flexible aluminum alloy conductor, wherein the method is applied to a system for detecting and evaluating the performance of a flexible aluminum alloy conductor, the system is in communication connection with a data acquisition device, and the method includes:
step S100: the method comprises the steps that a process numerical control system connected with a target conductor acquires a plurality of processing data sets corresponding to a plurality of process modules, wherein the plurality of process modules comprise a manufacturing process module, a drawing process module and an annealing process module;
specifically, the data acquisition device is a device that acquires processing data of a target conductor. The target conductor refers to any flexible aluminum alloy conductor to be subjected to conductor performance detection and evaluation. The process numerical control system is a system for carrying out automatic data control on the processing process of a target conductor and comprises a plurality of process modules, such as a manufacturing process module, a drawing process module and an annealing process module. Wherein the plurality of processing data sets are processing data sets corresponding to the plurality of process modules one to one. The manufacturing process module is a process module for selectively determining the manufacturing structure of the flexible aluminum alloy conductor. The drawing process module is a process control module for drawing the flexible aluminum alloy and drawing the aluminum alloy rod into the aluminum alloy monofilament. The annealing process module is a process module for eliminating and repairing the work hardening and internal tissue dislocation of the flexible aluminum alloy conductor caused by various deformations in the drawing process. The technical effect of providing evaluation data for evaluating the performance of the conductor is achieved by collecting a plurality of processing process data and carrying out subsequent process analysis.
Step S200: analyzing the target conductor according to the plurality of processing data sets to obtain conductor manufacturing structure data, drawing extension data and annealing control data;
specifically, according to the one-to-one correspondence relationship between the plurality of processing data sets and the plurality of process modules, processing effect data of the target conductor manufacturing structure, drawing extension and annealing control are obtained. The conductor manufacturing structure data refers to manufacturing shape data of the target conductor, and comprises a conductor single-line shape, a compression coefficient and the like. Preferably, the conductor element wire shape is circular and trapezoidal. For example, when a round single-wire aluminum alloy conductor is selected, since the gap of the stranded conductor is large, usually 25%, the conductor needs to be stranded and the outer diameter of the conductor needs to be compressed. The surface quality of the aluminum alloy conductor twisted in the shape of the trapezoid single line is better than that of a round single line aluminum alloy conductor, but the manufacturing cost is high, and the production efficiency is low. The drawing extension data refers to the shape change data of the conductor after the drawing operation is carried out on the target conductor, and comprises the sectional area size and the sectional shape of the conductor. The annealing control data is control data for annealing the target conductor, and includes annealing temperature, heat preservation time, and the like. The processing condition of the target conductor is analyzed to obtain data corresponding to the production process, and the technical effect of providing analysis data for detecting and evaluating the performance of the aluminum alloy conductor is achieved.
Step S300: building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
specifically, the multidimensional quality analysis model refers to a functional model for analyzing the quality of a target conductor from three dimensions of tensile quality, drawing quality and annealing quality. The tensile mass analysis dimension is an analysis in terms of the ability of the target conductor to resist plastic deformation, i.e., the maximum stress the target conductor is subjected to before being pulled apart. The drawing quality analysis dimension is an angle of analyzing the conductor performance from the viewpoint of analyzing the resistance to fracture and the conductor surface quality of the target conductor in the drawing process. The annealing quality analysis dimension is used for analyzing the surface quality and hardness of the conductor after the annealing operation is carried out on the target conductor.
Preferably, the multidimensional mass analysis model is based on a convolutional neural network and comprises a functional model of three sub-analysis network layers, wherein the three sub-analysis models are a tensile mass analysis network layer, a drawing mass analysis network layer and an annealing mass analysis network layer. And respectively training three network layers by acquiring historical conductor manufacturing structure data, historical drawing extension data and historical annealing control data, and historical tensile quality indexes, historical drawing quality indexes and historical annealing quality indexes. The method comprises the steps of utilizing historical conductor manufacturing structure data and historical tensile quality indexes to form a tensile quality training data set, training a tensile quality analysis network layer according to the tensile quality training data set until the output result of the network layer converges, and obtaining the tensile quality analysis network layer. And then, forming a drawing quality training data set by using the historical drawing extension data and the historical drawing quality index, and training a drawing quality analysis network layer according to the drawing quality training data set until the output result of the network layer converges to obtain the drawing quality analysis network layer. And then, forming an annealing quality training data set by using the historical annealing control data and the historical annealing quality index, and training an annealing quality analysis network layer according to the annealing quality training data set until the output result of the network layer converges to obtain the annealing quality analysis network layer. And then, the tensile quality analysis network layer, the drawing quality analysis network layer and the annealing quality analysis network layer are connected in series in parallel, and the input layer and the output layer are combined to form the multidimensional quality analysis model. The quality of the target conductor is analyzed in multiple dimensions at the same time, the analysis efficiency and accuracy are improved, and the technical effect of objectively evaluating the quality is achieved.
Step S400: inputting the conductor fabrication structure data, the drawing extension data, and the annealing control data into the multidimensional mass analysis model;
specifically, the conductor manufacturing structure data, the drawing extension data and the annealing control data are input into the trained multidimensional quality analysis model, and three-dimensional quality analysis is simultaneously performed on the target conductor, so that the technical effect of improving the quality analysis efficiency is achieved.
Step S500: obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
further, as shown in fig. 2, step S500 in the embodiment of the present application further includes:
step S510: acquiring a conductor manufacturing layer and a filling distribution structure according to the conductor manufacturing structure data;
step S520: according to the conductor manufacturing layer and the filling distribution structure, carrying out tensile strength analysis on the target conductor to obtain an upper tensile limit threshold;
step S530: and generating the tensile quality index based on the tensile upper limit threshold.
Specifically, the conductor manufacturing structure data is subjected to data extraction, and two dimensions of a manufacturing layer and a filling distribution structure are extracted to obtain the conductor manufacturing layer and the filling distribution structure. The conductor manufacturing layer is data describing the manufacturing shape of the target conductor, and includes the shape of the conductor single wire, the number of conductors after twisting, and the like. The filling distribution structure is data describing gaps between the single-wire conductors in the stranded conductor, and comprises the number of gaps and the compression coefficient. And analyzing the tensile strength corresponding to the target conductor according to the conductor manufacturing layer and the filling distribution structure, namely analyzing the tensile strength from the data theory angle, thereby obtaining the tensile upper limit threshold. Wherein, the upper limit tensile threshold refers to the maximum plastic deformation pressure that the target conductor can bear. And evaluating the tensile condition of the conductor according to the tensile upper limit threshold value to obtain the tensile quality index. The method achieves the aim of evaluating the tensile quality of the target conductor.
Further, step S500 in the embodiment of the present application further includes:
step S540: acquiring cross-section geometric data of the conductor bar before drawing and cross-section geometric data of the conductor line after drawing based on the drawing extension data;
step S550: performing deformation analysis on the geometric data of the section of the conductor rod before drawing and the geometric data of the section of the conductor wire after drawing to obtain a deformation coefficient in the conductor;
step S560: and generating the drawing quality index according to the deformation coefficient in the conductor.
Further, the step S560 in the embodiment of the present application further includes generating the drawing quality index according to the deformation coefficient in the conductor:
step S561: obtaining a drawing die of the target conductor;
step S562: performing inner surface detection on the drawing die through a data acquisition device, and performing outer surface detection on the drawn conductor wire to obtain the smoothness of the inner surface and the smoothness of the outer surface;
step S563: obtaining the quality of the outer surface of the conductor according to the smoothness of the inner surface and the smoothness of the outer surface;
step S564: and generating the drawing quality index according to the quality of the outer surface of the conductor and the deformation coefficient in the conductor.
Specifically, data extraction is performed on the drawing extension data to obtain cross-sectional geometrical data of the conductor bar before drawing and cross-sectional geometrical data of the conductor line after drawing. The cross-section geometric data of the conductor rod before drawing comprises the stranded cross-section area, the conductor single-wire cross-section area and the conductor single-wire shape of the conductor rod before drawing. The cross section geometric data of the conductor wire after drawing comprises the stranded cross section area, the conductor single wire cross section area and the conductor single wire shape of the conductor wire after drawing. The method comprises the steps of carrying out deformation analysis by comparing conductor bar data before drawing with conductor bar data after drawing, dividing the stranded section area of a conductor after drawing by the stranded section area of the conductor before drawing to obtain the stranded deformation rate, dividing the single-wire section area of a conductor after drawing by the single-wire section area of the conductor before drawing to obtain the single-wire deformation rate, and carrying out mean value calculation on the stranded deformation rate and the single-wire deformation rate to obtain the deformation coefficient in the conductor. And further obtaining the drawing quality index.
Specifically, the drawing die is a die for controlling the sectional area of the conductor when the drawing process operation is performed on the target conductor. And carrying out surface quality detection on the inner surface of the drawing die and the outer surface of the drawn conductor wire through the data acquisition device, wherein the surface quality detection device comprises a surface quality detector. Wherein the inner surface smoothness is a degree of smoothness of the inner surface of the drawing die. The smoothness of the outer surface is the smoothness of the outer surface of the conductor wire after being subjected to friction with a drawing die after being drawn, and the smoothness of the outer surface is obtained by mainly evaluating burrs, surface defects and depressions of the outer surface. Further, the quality of the outer surface of the conductor is evaluated based on the inner surface smoothness and the outer surface smoothness. And integrating the conductor internal deformation coefficient and the conductor external surface quality to obtain the drawing quality index. The drawing quality is evaluated from multiple angles, and the technical effect of improving the evaluation accuracy is achieved.
Further, step S560 in this embodiment of the present application further includes:
step S565: acquiring a temperature control data set according to the annealing control data;
step S566: generating a temperature control curve with the temperature control data set;
step S567: an optimization algorithm is adopted, the preset grain size is taken as an optimization target, the temperature control curve is subjected to optimization analysis, and a temperature control coefficient to be optimized is obtained;
step S568: and generating the annealing quality index according to the temperature control coefficient to be optimized and the element distribution mixing degree.
Specifically, the annealing temperature is extracted from the annealing control data, and a real-time annealing temperature data set, that is, the temperature control data set, is obtained when an annealing process is performed. And then, extracting the temperature control data set according to a time sequence, and constructing the temperature control curve by taking time as an abscissa and real-time temperature data as an ordinate. Wherein the temperature control curve reflects the real-time change condition of the temperature in the annealing process.
Specifically, the preset grain size refers to the grain size of the preset aluminum alloy conductor, and is set by a worker according to production requirements, without limitation. The optimization algorithm is an algorithm for optimizing and controlling the grain size of the target conductor, and preferably, the optimization control is performed by adopting a genetic algorithm, a tabu algorithm and a simulated annealing algorithm. And optimizing and analyzing the fluctuation condition of the temperature control curve by using the optimization algorithm and the target of optimizing the preset grain size, judging the grain sizes corresponding to different control temperatures, and analyzing whether the corresponding grain sizes meet the preset grain size or not to obtain the corresponding temperature control coefficient to be optimized if the corresponding grain sizes do not meet the preset grain size. The temperature control to-be-optimized coefficient refers to an adjustment coefficient when temperature adjustment and optimization are carried out on the annealing process, and the larger the temperature control to-be-optimized coefficient is, the worse the corresponding target conductor annealing quality is. The element distribution mixing degree is the difference degree between the real-time ratio condition of different elements in the target conductor and the preset alloy element distribution, the element quality of the target conductor is reflected, and the higher the element distribution mixing degree is, the lower the element quality of the corresponding target conductor is, and the worse the annealing quality is. And then, obtaining the annealing quality index according to the size of the temperature control coefficient to be optimized and the element distribution mixing degree. The technical effect of intelligently analyzing the annealing quality index is achieved.
Step S600: and outputting a conductor evaluation result according to the tensile quality index, the drawing quality index and the annealing quality index.
Further, as shown in fig. 3, step S600 in the embodiment of the present application further includes:
step S610: acquiring the distribution of preset alloy elements of the target conductor;
step S620: analyzing the distribution of the alloy elements of the target conductor to obtain the real-time distribution of the alloy elements;
step S630: comparing the preset alloy element distribution with the real-time alloy element distribution to obtain the element distribution mixing degree;
step 640: and if the element distribution mixing degree is greater than the preset element distribution mixing degree, generating reminding information.
Further, the step S630 of comparing the preset distribution of the alloy elements with the real-time distribution of the alloy elements to obtain the degree of mixing of the distribution of the elements further includes:
step S631: comparing the preset alloy element distribution with the real-time alloy element distribution to obtain a heterogeneous element set;
step S632: classifying the heterogeneous element set to obtain a non-metal element set and a metal element set;
step S633: acquiring a first mixing ratio and a second mixing ratio based on the data of the non-metal element set and the metal element set in the real-time alloy element distribution;
step S634: and carrying out weight configuration calculation on the first mixing ratio and the second mixing ratio, and outputting the element distribution mixing degree.
Specifically, the conductor evaluation result is the performance quality condition of the target conductor obtained by comprehensively analyzing and evaluating the tensile quality index, the drawing quality index and the annealing quality index. The preset distribution of the alloy elements is to determine the distribution of the alloy elements in the target conductor according to the manufacturing requirements. And in the annealing process, analyzing the distribution condition of the alloy elements of the target conductor in real time by using an element analyzer to obtain the distribution of the alloy elements in real time. Wherein the real-time distribution of the alloy elements reflects the distribution change of the alloy elements in the target conductor during annealing. And comparing the preset alloy element distribution with the real-time alloy element distribution, and obtaining the element distribution mixing degree according to the difference degree between the preset alloy element distribution and the real-time alloy element distribution. And when the element distribution mixing degree is greater than the preset element distribution mixing degree, the element distribution condition of the real-time target conductor is beyond the preset requirement, and the element distribution condition needs to be adjusted, so that the reminding information is obtained. The reminding information is used for reminding workers that the mixing degree of element distribution in the conductor exceeds the requirement.
Specifically, comparing the element types in the preset alloy element distribution and the real-time alloy element distribution, and extracting elements which exist in the real-time alloy element distribution but do not exist in the preset alloy element distribution to obtain the heterogeneous element set. Wherein the heterogeneous element set reflects abnormal element conditions generated in the real-time annealing process. The set of non-metallic elements is a set of non-metallic anomalous elements present in the target conductor. The set of metallic elements is a set of metallic anomalous elements present in the target conductor. Further, the first intermixing proportion is data of the distribution of the real-time alloying elements in the non-metallic element set. The second intermixing ratio is data of the real-time distribution of alloying elements in the set of metallic elements. And obtaining the proportion of the nonmetal elements and the metal elements when the element distribution mixing degree is calculated according to the influence degree of the nonmetal elements and the metal elements on the performance quality of the target conductor, wherein the influence degree is high, and the weight proportion is large. And further, carrying out weighted calculation on the first mixing ratio and the second mixing ratio according to the weight distribution result to obtain the element distribution mixing degree. Therefore, the technical effects of carrying out detailed analysis on the element distribution condition in the target conductor and improving the reliability of the analysis result are achieved.
To sum up, the embodiment of the present application has at least the following technical effects:
the embodiment of the application is connected with a process numerical control system of a target conductor, processing data corresponding to a plurality of process modules are collected, data collection is carried out from three dimensions of a manufacturing process, a drawing process and an annealing process, a plurality of corresponding processing data sets are obtained, the purpose of collecting the processing data of the target conductor is achieved, then the plurality of processing data sets are deeply mined and analyzed, each dimension is independently analyzed, conductor manufacturing structure data, drawing extension data and annealing control data are obtained through multi-dimension analysis of the target conductor, then intelligent analysis is carried out on the data through building of a multi-dimension quality analysis model, the purpose of improving analysis efficiency and accuracy is achieved, a plurality of quality analysis indexes are obtained through inputting the conductor manufacturing structure data, the drawing extension data and the annealing control data into the multi-dimension quality analysis model, the plurality of quality analysis indexes including tensile quality indexes, drawing quality indexes and annealing quality indexes, and conductor evaluation results are obtained according to index conditions. The method achieves the technical effects of improving the analysis accuracy of conductor evaluation, shortening the performance detection period of the target conductor and ensuring the evaluation quality.
Example two
Based on the same inventive concept as the method for detecting and evaluating the performance of the flexible aluminum alloy conductor in the previous embodiment, as shown in fig. 4, the present application provides a system for detecting and evaluating the performance of the flexible aluminum alloy conductor, and the system and the method in the embodiment of the present application are based on the same inventive concept. Wherein the system comprises:
a processing data set obtaining module 11, where the processing data set obtaining module 11 is used for connecting a process numerical control system of a target conductor and obtaining a plurality of processing data sets corresponding to a plurality of process modules, where the plurality of process modules include a manufacturing process module, a drawing process module, and an annealing process module;
a structural data obtaining module 12, wherein the structural data obtaining module 12 is configured to analyze the target conductor according to the plurality of processing data sets, and obtain conductor manufacturing structural data, drawing extension data, and annealing control data;
an analysis model building module 13, wherein the analysis model building module 13 is used for building a multidimensional quality analysis model, and the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
a model data input module 14, the model data input module 14 for inputting the conductor manufacturing structure data, the drawing extension data, and the annealing control data into the multidimensional mass analysis model;
an analysis index obtaining module 15, wherein the analysis index obtaining module 15 is configured to obtain a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
and the evaluation result output module 16 is used for outputting conductor evaluation results according to the tensile quality index, the drawing quality index and the annealing quality index by the evaluation result output module 16.
Further, the system further comprises:
a manufacturing layer obtaining unit for obtaining a conductor manufacturing layer and a filling distribution structure according to the conductor manufacturing structure data;
a tensile strength analysis unit, configured to perform tensile strength analysis on the target conductor according to the conductor manufacturing layer and the filling distribution structure, so as to obtain an upper tensile limit threshold;
a tensile quality index generation unit configured to generate the tensile quality index based on the tensile upper limit threshold.
Further, the system further comprises:
a geometric data acquisition unit for acquiring cross-sectional geometric data of the conductor bar before drawing and cross-sectional geometric data of the conductor line after drawing based on the drawing extension data;
the deformation coefficient obtaining unit is used for carrying out deformation analysis on the section geometric data of the conductor bar before drawing and the section geometric data of the conductor line after drawing to obtain the deformation coefficient in the conductor;
and the drawing quality index generating unit is used for generating the drawing quality index according to the deformation coefficient in the conductor.
Further, the system further comprises:
a drawing die obtaining unit for obtaining a drawing die of the target conductor;
the surface detection unit is used for detecting the inner surface of the drawing die through a data acquisition device and detecting the outer surface of the drawn conductor wire to acquire the smoothness of the inner surface and the smoothness of the outer surface;
an outer surface quality obtaining unit for obtaining a conductor outer surface quality based on the inner surface smoothness and the outer surface smoothness;
a quality index generation unit for generating the drawing quality index from the conductor outer surface quality and the conductor internal deformation coefficient.
Further, the system further comprises:
the element distribution unit is used for acquiring preset alloy element distribution of the target conductor;
the alloy element distribution unit is used for analyzing the alloy element distribution of the target conductor to obtain real-time alloy element distribution;
an element distribution mingling degree obtaining unit, configured to compare the preset alloy element distribution with the real-time alloy element distribution to obtain an element distribution mingling degree;
and the reminding information generating unit is used for generating reminding information if the element distribution mixing degree is greater than a preset element distribution mixing degree.
Further, the system further comprises:
a temperature control data obtaining unit, configured to obtain a temperature control data set according to the annealing control data;
a control curve generating unit for generating a temperature control curve with the temperature control data set;
the optimization coefficient acquisition unit is used for adopting an optimization algorithm, taking the preset grain size as an optimization target, carrying out optimization analysis on the temperature control curve and acquiring a temperature control to-be-optimized coefficient;
and the annealing quality index generating unit is used for generating the annealing quality index according to the temperature control coefficient to be optimized and the element distribution mixing degree.
Further, the system further comprises:
a heterogeneous element set obtaining unit, configured to compare the preset alloy element distribution with the real-time alloy element distribution to obtain a heterogeneous element set;
an element set obtaining unit, configured to classify the heterogeneous element set to obtain a non-metal element set and a metal element set;
a mixing ratio obtaining unit, configured to obtain a first mixing ratio and a second mixing ratio based on data that the non-metal element set and the metal element set occupy the real-time alloy element distribution;
a distribution mixture degree output unit configured to perform weight arrangement calculation on the first mixture ratio and the second mixture ratio, and output the element distribution mixture degree.
It should be noted that, the sequence in the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
The specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. The method for detecting and evaluating the performance of the flexible aluminum alloy conductor is applied to a system for detecting and evaluating the performance of the flexible aluminum alloy conductor, wherein the system is in communication connection with a data acquisition device, and the method comprises the following steps:
the method comprises the steps that a process numerical control system connected with a target conductor acquires a plurality of processing data sets corresponding to a plurality of process modules, wherein the plurality of process modules comprise a manufacturing process module, a drawing process module and an annealing process module;
analyzing the target conductor according to the plurality of processing data sets to obtain conductor manufacturing structure data, drawing extension data and annealing control data;
building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
inputting the conductor fabrication structure data, the drawing extension data, and the annealing control data into the multidimensional mass analysis model;
obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
and outputting a conductor evaluation result according to the tensile quality index, the drawing quality index and the annealing quality index.
2. The method of claim 1, wherein the method further comprises:
acquiring a conductor manufacturing layer and a filling distribution structure according to the conductor manufacturing structure data;
according to the conductor manufacturing layer and the filling distribution structure, carrying out tensile strength analysis on the target conductor to obtain an upper tensile limit threshold;
and generating the tensile quality index based on the tensile upper limit threshold.
3. The method of claim 1, wherein the method further comprises:
acquiring cross-section geometric data of the conductor bar before drawing and cross-section geometric data of the conductor line after drawing based on the drawing extension data;
performing deformation analysis on the geometric data of the section of the conductor rod before drawing and the geometric data of the section of the conductor wire after drawing to obtain a deformation coefficient in the conductor;
and generating the drawing quality index according to the deformation coefficient in the conductor.
4. The method of claim 3, wherein the generating the drawing quality indicator based on the in-conductor deformation coefficient further comprises:
obtaining a drawing die of the target conductor;
performing inner surface detection on the drawing die through a data acquisition device, and performing outer surface detection on the drawn conductor wire to obtain the smoothness of the inner surface and the smoothness of the outer surface;
acquiring the quality of the outer surface of the conductor according to the smoothness of the inner surface and the smoothness of the outer surface;
and generating the drawing quality index according to the quality of the outer surface of the conductor and the deformation coefficient in the conductor.
5. The method of claim 1, wherein the method further comprises:
acquiring preset alloy element distribution of the target conductor;
analyzing the distribution of the alloy elements of the target conductor to obtain the real-time distribution of the alloy elements;
comparing the preset alloy element distribution with the real-time alloy element distribution to obtain the element distribution mixing degree;
and if the element distribution mixing degree is greater than the preset element distribution mixing degree, generating reminding information.
6. The method of claim 5, wherein the method further comprises:
acquiring a temperature control data set according to the annealing control data;
generating a temperature control curve with the temperature control data set;
an optimization algorithm is adopted, the preset grain size is taken as an optimization target, the temperature control curve is subjected to optimization analysis, and a temperature control coefficient to be optimized is obtained;
and generating the annealing quality index according to the temperature control coefficient to be optimized and the element distribution mixing degree.
7. The method of claim 5, wherein said comparing said predetermined distribution of alloying elements to said real-time distribution of alloying elements to obtain a confounding degree of the distribution of elements comprises:
comparing the preset alloy element distribution with the real-time alloy element distribution to obtain a heterogeneous element set;
classifying the heterogeneous element sets to obtain a non-metal element set and a metal element set;
acquiring a first mixing ratio and a second mixing ratio based on the data of the non-metal element set and the metal element set in the real-time alloy element distribution;
and carrying out weight configuration calculation on the first mixing ratio and the second mixing ratio, and outputting the element distribution mixing degree.
8. A flexible aluminum alloy conductor performance detection and evaluation system, characterized in that the system comprises:
the processing data set obtaining module is used for connecting a process numerical control system of a target conductor and obtaining a plurality of processing data sets corresponding to a plurality of process modules, wherein the plurality of process modules comprise a manufacturing process module, a drawing process module and an annealing process module;
the structural data acquisition module is used for analyzing the target conductor according to the plurality of processing data sets to acquire conductor manufacturing structural data, drawing extension data and annealing control data;
the analysis model building module is used for building a multidimensional quality analysis model, wherein the multidimensional quality analysis model comprises a tensile quality analysis dimension, a drawing quality analysis dimension and an annealing quality analysis dimension;
a model data input module for inputting the conductor manufacturing structure data, the drawing extension data, and the annealing control data into the multidimensional mass analysis model;
the analysis index obtaining module is used for obtaining a plurality of quality analysis indexes including a tensile quality index, a drawing quality index and an annealing quality index according to the multidimensional quality analysis model;
and the evaluation result output module is used for outputting a conductor evaluation result according to the tensile quality index, the drawing quality index and the annealing quality index.
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