CN117910785A - PE line production process optimization method and system - Google Patents
PE line production process optimization method and system Download PDFInfo
- Publication number
- CN117910785A CN117910785A CN202410102985.2A CN202410102985A CN117910785A CN 117910785 A CN117910785 A CN 117910785A CN 202410102985 A CN202410102985 A CN 202410102985A CN 117910785 A CN117910785 A CN 117910785A
- Authority
- CN
- China
- Prior art keywords
- temperature
- friction
- resistant
- optimization
- wire
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 75
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 21
- 239000000463 material Substances 0.000 claims abstract description 66
- 230000020169 heat generation Effects 0.000 claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 230000004927 fusion Effects 0.000 claims description 50
- 238000012360 testing method Methods 0.000 claims description 50
- 238000006243 chemical reaction Methods 0.000 claims description 40
- 238000002360 preparation method Methods 0.000 claims description 30
- 238000004880 explosion Methods 0.000 claims description 28
- 238000004088 simulation Methods 0.000 claims description 25
- 238000010438 heat treatment Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 10
- 230000006399 behavior Effects 0.000 claims description 9
- 230000009193 crawling Effects 0.000 claims description 3
- 241001391944 Commicarpus scandens Species 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 230000001052 transient effect Effects 0.000 abstract 1
- 239000004698 Polyethylene Substances 0.000 description 118
- 208000010392 Bone Fractures Diseases 0.000 description 20
- 206010017076 Fracture Diseases 0.000 description 20
- 238000006073 displacement reaction Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- -1 polyethylene Polymers 0.000 description 2
- 229920000573 polyethylene Polymers 0.000 description 2
- 230000035924 thermogenesis Effects 0.000 description 2
- 238000010618 wire wrap Methods 0.000 description 2
- 230000006750 UV protection Effects 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000010420 art technique Methods 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 238000009987 spinning Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000002076 thermal analysis method Methods 0.000 description 1
Classifications
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a PE line production process optimization method and a PE line production process optimization system, which relate to the technical field of process optimization, wherein the PE line production process optimization method comprises the following steps: collecting historical operation scene samples based on the target operation scene of the first PE line; constructing an operation friction temperature-resistant model; constructing a first PE line digital model; reading a transient friction burst Wen Shixu; acquiring a first preset fracture temperature threshold value; generating a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimizing by the temperature-resistant optimization instruction, obtaining a temperature-resistant decision and carrying out process optimization on a first PE wire, solving the technical problems that the temperature resistance of the produced PE wire is not matched with an actual application scene due to lack of friction force analysis in a PE wire operation scene and the PE wire is easy to break in the prior art, carrying out friction heat generation analysis on the PE wire operation scene, carrying out temperature resistance optimization, reducing the breaking risk in PE wire operation, and further improving the technical effect of service life.
Description
Technical Field
The application relates to the technical field of process optimization, in particular to a PE line production process optimization method and system.
Background
PE (polyethylene) is a widely used plastic material, and the PE wire manufactured by the PE (polyethylene) has excellent characteristics due to excellent chemical resistance, abrasion resistance, ultraviolet resistance and the like, but some equipment such as a connecting ring and the like is required to be combined in the use process of the PE wire, so that the temperature is rapidly increased due to friction caused by the excessively high operation speed in the use process of the PE wire, and the PE wire is broken. In the prior art, friction force analysis in PE line operation scenes is lacking, so that the produced PE line is unmatched with actual application scenes in temperature resistance, and the PE line is easy to break.
Disclosure of Invention
The application provides a PE wire production process optimization method and system, which are used for solving the technical problems that the temperature resistance of a produced PE wire is not matched with an actual application scene and the PE wire is easy to break due to the lack of friction force analysis in the PE wire operation scene in the prior art.
According to a first aspect of the present application, there is provided a method for optimizing a PE line production process, comprising: collecting historical operation scene samples based on the target operation scene of the first PE line; constructing an operation friction temperature-resistant model by using the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating friction heating behaviors generated in the operation process of the first PE line; acquiring structural information and preparation material information of the first PE wire, and constructing a first PE wire digital model according to the structural information and the preparation material information; based on the first PE wire digital model and the operation friction temperature-resistant model, performing fusion operation simulation, and reading instantaneous friction explosion Wen Shixu; acquiring a first preset fracture temperature threshold, wherein the first preset fracture temperature threshold is acquired by temperature resistance identification based on the preparation material information; and comparing and analyzing the instantaneous friction explosion temperature time sequence and the first preset fracture temperature threshold value to generate a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimization by using the temperature-resistant optimization instruction, and obtaining a temperature-resistant decision to carry out process optimization on the first PE line.
According to a second aspect of the present application, there is provided a PE line production process optimization system comprising: the operation scene sample acquisition module is used for acquiring a historical operation scene sample based on a target operation scene of the first PE line; the friction heat-resistant model construction module is used for constructing an operation friction heat-resistant model by using the historical operation scene sample, wherein the operation friction heat-resistant model is used for simulating friction heat generation behaviors generated in the operation process of the first PE line; the PE wire digital model construction module is used for acquiring structural information and preparation material information of the first PE wire and constructing a first PE wire digital model according to the structural information and the preparation material information; the fusion operation simulation module is used for carrying out fusion operation simulation based on the first PE wire digital model and the operation friction temperature-resistant model and reading instantaneous friction explosion Wen Shixu; the fracture temperature acquisition module is used for acquiring a first preset fracture temperature threshold value, and the first preset fracture temperature threshold value is used for carrying out temperature resistance identification acquisition based on the preparation material information; the process optimization module is used for comparing and analyzing the instantaneous friction explosion temperature time sequence and the first preset fracture temperature threshold value to generate a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimization by the temperature-resistant optimization instruction, and obtaining a temperature-resistant decision to carry out process optimization on the first PE line.
According to one or more technical solutions adopted by the present application, the following beneficial effects are achieved:
The method comprises the steps of collecting a historical operation scene sample based on a target operation scene of a first PE wire, constructing an operation friction temperature-resistant model by the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating friction heating behaviors generated in the operation process of the first PE wire, acquiring structural information and preparation material information of the first PE wire, constructing a first PE wire digital model by the structural information and the preparation material information, carrying out fusion operation simulation based on the first PE wire digital model and the operation friction temperature-resistant model, reading instantaneous friction explosion Wen Shixu, acquiring a first preset breaking temperature threshold value, carrying out temperature resistance identification acquisition based on the preparation material information, comparing and analyzing the instantaneous friction explosion Wen Shixu and the first preset breaking temperature threshold value, generating a temperature-resistant optimization instruction, carrying out temperature-resistant material package optimizing by the temperature-resistant optimization instruction, acquiring a temperature-resistant decision, and carrying out process optimizing on the first PE wire. From this through carrying out friction thermogenesis analysis to PE line's operation scene, and then carry out the optimization of temperature resistance, reach the fracture risk when reducing PE line operation, and then promote life's technical effect.
Drawings
In order to more clearly illustrate the technical solutions of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the present application, and together with the description serve to explain the principle of the application, if not to limit the application, and to enable others skilled in the art to make and use the application without undue effort.
FIG. 1 is a schematic flow chart of a PE line production process optimization method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a PE line production process optimization system according to an embodiment of the present disclosure.
Reference numerals illustrate: the system comprises a working scene sample acquisition module 11, a friction temperature-resistant model construction module 12, a PE line digital model construction module 13, a fusion operation simulation module 14, a fracture temperature acquisition module 15 and a process optimization module 16.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the application. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Embodiment one: fig. 1 is a diagram of a method for optimizing a production process of a PE line according to an embodiment of the present application, where the method includes:
collecting historical operation scene samples based on the target operation scene of the first PE line;
The first PE line generally refers to any type of PE line, such as those used in fishing equipment. The target operation scene is a usage scene of the first PE line, for example, for fishing, based on which a historical operation scene sample is collected, and the specific process is as follows.
In a preferred embodiment, further comprising:
Acquiring a plurality of groups of operation structure samples of the target operation scene, wherein the plurality of groups of operation structure samples comprise operation framework equipment and equipment erection structures; taking the plurality of groups of operation structure samples as index attributes, crawling operation parameters to obtain a plurality of operation parameter sets, wherein any operation parameter set comprises a plurality of different operation environments, operation speeds and operation friction forces; and forming the historical operation scene sample by the plurality of operation structure samples and the plurality of operation parameter sets.
The method comprises the steps of obtaining a plurality of groups of operation structure samples of the target operation scene, wherein the plurality of groups of operation structure samples comprise operation structure equipment and equipment erection structures, in short, the operation structure equipment refers to structures of other equipment such as spinning wheels, connecting rings and the like used when the first PE wire is used for operation, and the equipment erection structures refer to connection modes of the operation structure equipment, such as fishing, wherein the first PE wire needs to pass through the connecting rings. It will be appreciated that the job architecture equipment and equipment set-up structure refer to information in the course of historical operations, which may be obtained based on prior art techniques. The operation parameter is crawled by taking the operation structure samples as index attributes, a plurality of operation parameter sets are obtained, any operation parameter set comprises a plurality of different operation environments, operation speeds and operation friction force, the operation environments refer to environment temperatures during operation, the operation speeds refer to moving speeds between PE lines and contact objects, the operation friction force refers to friction force generated between the first PE lines and operation framework equipment, and the operation parameter set is used for data mining and extraction by taking the operation structure samples as index attributes based on the existing Internet big data, and is a common technical means for a person skilled in the art, and the operation parameter set is not unfolded. And finally, forming the historical operation scene sample by the plurality of operation structure samples and the plurality of operation parameter sets. Therefore, the collection of historical operation scene samples is realized, basic data is provided for subsequent operation friction heat generation analysis, the temperature resistance of PE wires is conveniently reduced and improved, and the friction fracture phenomenon is prevented.
Constructing an operation friction temperature-resistant model by using the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating friction heating behaviors generated in the operation process of the first PE line;
And constructing an operation friction temperature-resistant model by using the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating the friction heat generation behavior generated in the operation process of the first PE line, and the specific construction process is described in detail below.
In a preferred embodiment, further comprising:
Constructing a plurality of operation friction temperature-resistant channels by using the plurality of groups of operation structure samples; training the plurality of operation friction temperature-resistant channels by the plurality of operation parameter sets respectively, and integrating and fusing the plurality of operation friction temperature-resistant channels trained to a convergence state to obtain the operation friction temperature-resistant model; and performing friction force-temperature conversion on the output results of the plurality of operation friction temperature-resistant channels, and taking the conversion results as the output of the operation friction temperature-resistant model.
Specifically, the plurality of operation structure samples are used for constructing a plurality of operation friction temperature-resistant channels, the operation friction temperature-resistant channels are constructed based on the existing machine learning algorithm, that is, the historical operation scene samples comprise the plurality of operation structure samples and the plurality of operation parameter sets, that is, the first PE wire may be used in different equipment, so that different operation friction temperature-resistant channels are constructed for different operation structure samples, accurate analysis of friction heat generation is facilitated, and the operation scene is closer to a practical scene. And training the plurality of operation friction temperature-resistant channels by using the plurality of operation parameter sets respectively, namely using the operation environment and the operation speed as the input of the operation friction temperature-resistant channels, and performing output supervision adjustment on the operation friction temperature-resistant channels by using the operation friction force to ensure that the predicted friction force output by the operation friction temperature-resistant channels is consistent with the operation friction force, thereby training the plurality of operation friction temperature-resistant channels to be converged. And integrating and fusing a plurality of operation friction temperature-resistant channels trained to a convergence state to obtain the operation friction temperature-resistant model, wherein the output results of the operation friction temperature-resistant channels are subjected to friction force-temperature conversion, and the conversion results are used as the output of the operation friction temperature-resistant model. Providing model support for subsequent tribo-thermal analysis.
In a preferred embodiment, further comprising:
Constructing a frictional heat generation conversion relation; constructing a friction force-temperature conversion channel according to the friction heat generation conversion relation and embedding the friction force-temperature conversion channel into the operation friction temperature-resistant model; the friction force-temperature conversion channel is connected with the output ends of the plurality of operation friction temperature-resistant channels; and performing friction force-temperature conversion by the friction force-temperature conversion channel.
Specifically, the method for performing friction-temperature conversion on the output results of the plurality of operation friction temperature-resistant channels comprises the following steps: and constructing a friction heat generation conversion relation which is a conversion relation of friction force and heat energy, specifically, the heat is equal to the product of the friction force and the relative displacement, wherein the relative displacement can be extracted according to the size of the operation structure equipment, namely, the relative displacement of PE wires in direct contact with the operation structure equipment is extracted through the operation speed, for example, the relative displacement of PE wires passing through a connecting ring can be set as the displacement of PE wires passing through the connecting ring. And constructing a friction force-temperature conversion channel according to the friction heat generation conversion relation, embedding the friction force-temperature conversion channel into the operation friction heat-resistant model, converting the friction force into heat according to the friction heat generation conversion relation by the friction force-temperature conversion channel, further testing the first PE wire based on the prior art, testing the relation between the surface temperature rise and the heat, and converting the heat into a temperature value based on the relation. The friction force-temperature conversion channels are connected with the output ends of the plurality of operation friction temperature-resistant channels, the friction force-temperature conversion channels are used for carrying out friction force-temperature conversion, and the friction force is finally converted into temperature to be used as the output of the operation friction temperature-resistant model. Therefore, friction heat generation analysis under different scenes is realized, temperature change analysis under multiple scenes is conveniently carried out on the first PE line, and process optimization for scene is conveniently carried out.
Acquiring structural information and preparation material information of the first PE wire, and constructing a first PE wire digital model according to the structural information and the preparation material information;
The first PE line is structurally detected by the existing detecting device, including its shape, size, structure, etc. as structural information. The information of the preparation materials is directly determined and uploaded by the person skilled in the art based on the actual situation, and the properties of PE wires made of different preparation materials are different. The digital twin modeling software in the prior art is used for establishing a first PE wire digital model based on the structural information and the preparation material information, and in the digital model, the structural characteristics, the material composition and the performance characteristics of the PE wire can be described in detail.
Based on the first PE wire digital model and the operation friction temperature-resistant model, performing fusion operation simulation, and reading instantaneous friction explosion Wen Shixu;
Specifically, during the use process of the PE wire, the temperature of the PE wire may be rapidly increased due to the friction force generated by the instantaneous movement, so that the PE wire may be broken, and therefore, the temperature possibly occurring in the PE wire needs to be predicted, so that the temperature resistance of the PE wire is conveniently improved. And based on the first PE wire digital model and the operation friction temperature-resistant model, performing fusion operation simulation, and reading instantaneous friction explosion Wen Shixu, wherein an instantaneous friction explosion temperature time sequence comprises a plurality of friction heat generation temperature indexes, and a specific fusion operation simulation method is described in detail below.
In a preferred embodiment, further comprising:
Respectively fusing a plurality of operation friction temperature-resistant channels in the first PE wire digital model and the operation friction temperature-resistant model to obtain a plurality of fusion models; and collecting an operation test sample, and performing operation friction heat generation simulation test on the operation test sample by using the fusion models to obtain a plurality of friction heat generation temperature indexes to form the instantaneous friction explosion Wen Shixu.
And respectively fusing the first PE wire digital model with the plurality of operation friction temperature-resistant channels in the operation friction temperature-resistant model, namely embedding the first PE wire digital model into the plurality of operation friction temperature-resistant channels in the operation friction temperature-resistant model, so that the simulation of friction heat generation is conveniently carried out on different operation structure samples respectively, the comprehensiveness and the accuracy of a simulation result are improved, and a plurality of fusion models are obtained. The operation test sample is collected, the operation test sample can be understood as different operation environments and operation speeds, the operation test sample can be called through historical operation records based on the prior art, the operation test sample is subjected to operation friction heat generation simulation test by the fusion models, the operation test sample is output through the fusion models, the temperature generated by the PE wire is used as a plurality of friction heat generation temperature indexes, and the instantaneous friction explosion Wen Shixu is formed by the friction heat generation temperature indexes. The test of friction heat generation is realized, the temperature resistance of the PE wire is convenient to optimize, and the breakage of the PE wire caused by friction force generated by operation is prevented.
In a preferred embodiment, further comprising:
the operation test sample comprises a first test sample and a second test sample; wherein the first test sample is a plurality of samples for independent test, which are composed of different working environments and working speeds; the second test sample is a continuous test sample with continuously increased operation speed under the same operation environment.
Specifically, the operation test sample includes a first test sample and a second test sample, wherein the first test sample is a plurality of samples for individual test composed of different operation environments and operation speeds, that is, one operation environment may correspond to a plurality of operation speeds, but operation tests are separately and independently performed at a plurality of operation speeds. The second test sample is a continuous test sample with continuously increased operation speed under the same operation environment, that is, the operation speed is continuously changed from small to large under the same operation environment, so as to test, obtain the frictional heat generation temperature index in the process of the operation speed from small to large, and ensure the accuracy of fusion operation simulation.
Acquiring a first preset fracture temperature threshold, wherein the first preset fracture temperature threshold is acquired by temperature resistance identification based on the preparation material information;
The method comprises the steps of obtaining a first preset breaking temperature threshold, wherein the first preset breaking temperature threshold refers to a critical temperature value when a first PE wire breaks, the first preset breaking temperature threshold is obtained by carrying out temperature resistance identification based on the preparation material information, namely, temperature resistance indexes of different preparation materials, namely, tolerable temperature values, are obtained based on the prior art, then the preparation material information is matched with corresponding temperature resistance indexes, and the highest temperature value in the temperature resistance indexes is used as the first preset breaking temperature threshold.
And comparing and analyzing the instantaneous friction explosion temperature time sequence and the first preset fracture temperature threshold value to generate a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimization by using the temperature-resistant optimization instruction, and obtaining a temperature-resistant decision to carry out process optimization on the first PE line.
And comparing and analyzing the instant friction explosion temperature time sequence and the first preset breaking temperature threshold, namely, the instant friction explosion temperature time sequence comprises a plurality of friction heat generation temperature indexes, if the friction heat generation temperature indexes are larger than or equal to the first preset breaking temperature threshold, generating a temperature resistant optimization instruction, carrying out temperature resistant material wrapping decision optimizing by the temperature resistant optimization instruction, acquiring a temperature resistant decision, carrying out process optimization on the first PE wire, wherein the temperature resistant decision comprises temperature resistant materials for improving the temperature resistance, namely, wrapping the temperature resistant materials on the outer layer of the first PE wire, and improving the temperature resistance of the first PE wire.
In a preferred embodiment, further comprising:
Extracting a plurality of friction heating temperature indexes based on the instantaneous friction explosion temperature time sequence; if the friction heating temperature index is greater than or equal to the first preset breaking temperature threshold, generating a temperature-resistant optimization instruction; acquiring an initial demand performance index of the first PE line; performing performance fusion influence analysis on the temperature resistant material and the prepared material information to obtain a first fusion trend of initial demand performance and a second fusion trend of temperature resistant performance; and taking the constraint that the first fusion trend meets the initial requirement performance index and the second fusion trend meets the first preset fracture temperature threshold as constraint, and carrying out the package decision optimization of the temperature-resistant material.
Specifically, a plurality of friction heat generation temperature indexes are extracted based on the instantaneous friction heat generation time sequence, if the friction heat generation temperature indexes are greater than or equal to the first preset breaking temperature threshold value, a temperature resistant optimization instruction is generated, the initial demand performance indexes of the first PE line are obtained based on the temperature resistant optimization instruction control, and the initial demand performance indexes refer to other performance indexes except for the temperature resistance of the first PE line, such as tension, ductility and the like, and are specifically required to be determined in combination with actual demands. The temperature resistant material refers to the existing temperature resistant material capable of meeting a first preset breaking temperature threshold value, and can be obtained based on the prior art. And performing performance fusion influence analysis on the temperature resistant material and the prepared material information, namely, the temperature resistant material may cause the initial required performance index of the first PE wire to change, such as a tensile force to be reduced, and the prepared material information may influence the temperature resistance of the temperature resistant material.
Specifically, the first PE wire is wrapped and manufactured by the temperature resistant material based on the prior art, PE wire wrapping samples corresponding to different temperature resistant materials are obtained, the PE wire wrapping samples are tested for initial requirement performance indexes by the prior art, and initial requirement performance index test results are obtained as a first fusion trend. And further testing the temperature resistance of the PE wire wrapped sample by the prior art, and obtaining the highest temperature resistance index as a second fusion trend.
Taking the first fusion trend as constraint and the second fusion trend as constraint, carrying out temperature resistant material wrapping decision optimizing, namely taking the corresponding temperature resistant material as a temperature resistant decision and carrying out an outer layer wrapping process of the first PE wire by the temperature resistant material in the temperature resistant decision if the first fusion trend meets the initial requirement performance index and the second fusion trend meets the first preset breaking temperature threshold, so as to realize production process optimizing of the PE wire, improve the temperature resistance and prevent breakage.
Based on the analysis, the one or more technical schemes provided by the application can achieve the following beneficial effects:
The method comprises the steps of collecting a historical operation scene sample based on a target operation scene of a first PE wire, constructing an operation friction temperature-resistant model by the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating friction heating behaviors generated in the operation process of the first PE wire, acquiring structural information and preparation material information of the first PE wire, constructing a first PE wire digital model by the structural information and the preparation material information, carrying out fusion operation simulation based on the first PE wire digital model and the operation friction temperature-resistant model, reading instantaneous friction explosion Wen Shixu, acquiring a first preset breaking temperature threshold value, carrying out temperature resistance identification acquisition based on the preparation material information, comparing and analyzing the instantaneous friction explosion Wen Shixu and the first preset breaking temperature threshold value, generating a temperature-resistant optimization instruction, carrying out temperature-resistant material package optimizing by the temperature-resistant optimization instruction, acquiring a temperature-resistant decision, and carrying out process optimizing on the first PE wire. From this through carrying out friction thermogenesis analysis to PE line's operation scene, and then carry out the optimization of temperature resistance, reach the fracture risk when reducing PE line operation, and then promote life's technical effect.
Embodiment two: based on the same inventive concept as the PE line production process optimization method in the foregoing embodiment, as shown in fig. 2, the present application further provides a PE line production process optimization system, where the system includes:
a job scene sample collection module 11, where the job scene sample collection module 11 is configured to collect a historical job scene sample based on a target job scene of the first PE line;
A friction heat resistant model construction module 12, wherein the friction heat resistant model construction module 12 is used for constructing an operation friction heat resistant model by using the historical operation scene sample, and the operation friction heat resistant model is used for simulating a friction heat generating behavior generated in the operation process of the first PE line;
the PE wire digital model construction module 13 is used for acquiring structural information and preparation material information of the first PE wire, and constructing a first PE wire digital model according to the structural information and the preparation material information;
the fusion operation simulation module 14, wherein the fusion operation simulation module 14 is used for performing fusion operation simulation based on the first PE wire digital model and the operation friction temperature resistant model, and reading instantaneous friction explosion Wen Shixu;
a fracture temperature obtaining module 15, where the fracture temperature obtaining module 15 is configured to obtain a first predetermined fracture temperature threshold, and the first predetermined fracture temperature threshold is used to perform temperature resistance identification and obtaining based on the preparation material information;
the process optimization module 16 is configured to compare and analyze the instantaneous friction and explosion temperature time sequence and the first predetermined breaking temperature threshold value, generate a temperature-resistant optimization instruction, perform temperature-resistant material package decision optimization with the temperature-resistant optimization instruction, and obtain a temperature-resistant decision to perform process optimization on the first PE line.
Further, the job scene sample collection module 11 further includes:
acquiring a plurality of groups of operation structure samples of the target operation scene, wherein the plurality of groups of operation structure samples comprise operation framework equipment and equipment erection structures;
Taking the plurality of groups of operation structure samples as index attributes, crawling operation parameters to obtain a plurality of operation parameter sets, wherein any operation parameter set comprises a plurality of different operation environments, operation speeds and operation friction forces;
And forming the historical operation scene sample by the plurality of operation structure samples and the plurality of operation parameter sets.
Further, the friction heat resistant model building module 12 further includes:
constructing a plurality of operation friction temperature-resistant channels by using the plurality of groups of operation structure samples;
training the plurality of operation friction temperature-resistant channels by the plurality of operation parameter sets respectively, and integrating and fusing the plurality of operation friction temperature-resistant channels trained to a convergence state to obtain the operation friction temperature-resistant model;
and performing friction force-temperature conversion on the output results of the plurality of operation friction temperature-resistant channels, and taking the conversion results as the output of the operation friction temperature-resistant model.
Further, the friction heat resistant model building module 12 further includes:
constructing a frictional heat generation conversion relation;
Constructing a friction force-temperature conversion channel according to the friction heat generation conversion relation and embedding the friction force-temperature conversion channel into the operation friction temperature-resistant model;
the friction force-temperature conversion channel is connected with the output ends of the plurality of operation friction temperature-resistant channels;
and performing friction force-temperature conversion by the friction force-temperature conversion channel.
Further, the fusion job simulation module 14 further includes:
respectively fusing a plurality of operation friction temperature-resistant channels in the first PE wire digital model and the operation friction temperature-resistant model to obtain a plurality of fusion models;
and collecting an operation test sample, and performing operation friction heat generation simulation test on the operation test sample by using the fusion models to obtain a plurality of friction heat generation temperature indexes to form the instantaneous friction explosion Wen Shixu.
Further, the fusion job simulation module 14 further includes:
The operation test sample comprises a first test sample and a second test sample;
wherein the first test sample is a plurality of samples for independent test, which are composed of different working environments and working speeds;
the second test sample is a continuous test sample with continuously increased operation speed under the same operation environment.
Further, the process optimization module 16 further includes:
Extracting a plurality of friction heating temperature indexes based on the instantaneous friction explosion temperature time sequence;
if the friction heating temperature index is greater than or equal to the first preset breaking temperature threshold, generating a temperature-resistant optimization instruction;
Acquiring an initial demand performance index of the first PE line;
Performing performance fusion influence analysis on the temperature resistant material and the prepared material information to obtain a first fusion trend of initial demand performance and a second fusion trend of temperature resistant performance;
And taking the constraint that the first fusion trend meets the initial requirement performance index and the second fusion trend meets the first preset fracture temperature threshold as constraint, and carrying out the package decision optimization of the temperature-resistant material.
The specific example of the PE line production process optimization method in the first embodiment is also applicable to the PE line production process optimization system in the present embodiment, and those skilled in the art will clearly know the PE line production process optimization system in the present embodiment from the foregoing detailed description of the PE line production process optimization method, so that the description thereof will not be repeated for brevity.
It should be understood that the various forms of flow shown above, reordered, added or deleted steps may be used, as long as the desired results of the disclosed embodiments are achieved, and are not limiting herein.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.
Claims (8)
1. The PE line production process optimization method is characterized by comprising the following steps of:
collecting historical operation scene samples based on the target operation scene of the first PE line;
constructing an operation friction temperature-resistant model by using the historical operation scene sample, wherein the operation friction temperature-resistant model is used for simulating friction heating behaviors generated in the operation process of the first PE line;
Acquiring structural information and preparation material information of the first PE wire, and constructing a first PE wire digital model according to the structural information and the preparation material information;
Based on the first PE wire digital model and the operation friction temperature-resistant model, performing fusion operation simulation, and reading instantaneous friction explosion Wen Shixu;
acquiring a first preset fracture temperature threshold, wherein the first preset fracture temperature threshold is acquired by temperature resistance identification based on the preparation material information;
And comparing and analyzing the instantaneous friction explosion temperature time sequence and the first preset fracture temperature threshold value to generate a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimization by using the temperature-resistant optimization instruction, and obtaining a temperature-resistant decision to carry out process optimization on the first PE line.
2. The method of claim 1, wherein the acquiring of the historical job scenario samples based on the target job scenario of the first PE line comprises:
acquiring a plurality of groups of operation structure samples of the target operation scene, wherein the plurality of groups of operation structure samples comprise operation framework equipment and equipment erection structures;
Taking the plurality of groups of operation structure samples as index attributes, crawling operation parameters to obtain a plurality of operation parameter sets, wherein any operation parameter set comprises a plurality of different operation environments, operation speeds and operation friction forces;
And forming the historical operation scene sample by the plurality of operation structure samples and the plurality of operation parameter sets.
3. The method of claim 2, wherein said constructing a working friction temperature resistant model from said historical working scene sample comprises:
constructing a plurality of operation friction temperature-resistant channels by using the plurality of groups of operation structure samples;
training the plurality of operation friction temperature-resistant channels by the plurality of operation parameter sets respectively, and integrating and fusing the plurality of operation friction temperature-resistant channels trained to a convergence state to obtain the operation friction temperature-resistant model;
and performing friction force-temperature conversion on the output results of the plurality of operation friction temperature-resistant channels, and taking the conversion results as the output of the operation friction temperature-resistant model.
4. The method of claim 3, wherein said friction-temperature converting the output of said plurality of working friction temperature resistant channels comprises:
constructing a frictional heat generation conversion relation;
Constructing a friction force-temperature conversion channel according to the friction heat generation conversion relation and embedding the friction force-temperature conversion channel into the operation friction temperature-resistant model;
the friction force-temperature conversion channel is connected with the output ends of the plurality of operation friction temperature-resistant channels;
and performing friction force-temperature conversion by the friction force-temperature conversion channel.
5. The method of claim 3, wherein the performing a fusion operation simulation based on the first PE line digital model and the operation friction temperature resistant model, reading an instantaneous friction burst temperature time sequence, comprises:
respectively fusing a plurality of operation friction temperature-resistant channels in the first PE wire digital model and the operation friction temperature-resistant model to obtain a plurality of fusion models;
and collecting an operation test sample, and performing operation friction heat generation simulation test on the operation test sample by using the fusion models to obtain a plurality of friction heat generation temperature indexes to form the instantaneous friction explosion Wen Shixu.
6. The method of claim 5, wherein the method further comprises:
The operation test sample comprises a first test sample and a second test sample;
wherein the first test sample is a plurality of samples for independent test, which are composed of different working environments and working speeds;
the second test sample is a continuous test sample with continuously increased operation speed under the same operation environment.
7. The method of claim 1, wherein comparing and analyzing the instantaneous tribological explosion temperature sequence and the first predetermined breaking temperature threshold to generate a temperature-resistant optimization command, performing temperature-resistant material package decision optimization with the temperature-resistant optimization command, and obtaining a temperature-resistant decision to perform process optimization on the first PE line, comprises:
Extracting a plurality of friction heating temperature indexes based on the instantaneous friction explosion temperature time sequence;
if the friction heating temperature index is greater than or equal to the first preset breaking temperature threshold, generating a temperature-resistant optimization instruction;
Acquiring an initial demand performance index of the first PE line;
Performing performance fusion influence analysis on the temperature resistant material and the prepared material information to obtain a first fusion trend of initial demand performance and a second fusion trend of temperature resistant performance;
And taking the constraint that the first fusion trend meets the initial requirement performance index and the second fusion trend meets the first preset fracture temperature threshold as constraint, and carrying out the package decision optimization of the temperature-resistant material.
8. A PE line production process optimization system for performing the steps of the method of any of claims 1 to 7, the system comprising:
The operation scene sample acquisition module is used for acquiring a historical operation scene sample based on a target operation scene of the first PE line;
The friction heat-resistant model construction module is used for constructing an operation friction heat-resistant model by using the historical operation scene sample, wherein the operation friction heat-resistant model is used for simulating friction heat generation behaviors generated in the operation process of the first PE line;
the PE wire digital model construction module is used for acquiring structural information and preparation material information of the first PE wire and constructing a first PE wire digital model according to the structural information and the preparation material information;
The fusion operation simulation module is used for carrying out fusion operation simulation based on the first PE wire digital model and the operation friction temperature-resistant model and reading instantaneous friction explosion Wen Shixu;
the fracture temperature acquisition module is used for acquiring a first preset fracture temperature threshold value, and the first preset fracture temperature threshold value is used for carrying out temperature resistance identification acquisition based on the preparation material information;
the process optimization module is used for comparing and analyzing the instantaneous friction explosion temperature time sequence and the first preset fracture temperature threshold value to generate a temperature-resistant optimization instruction, carrying out temperature-resistant material wrapping decision optimization by the temperature-resistant optimization instruction, and obtaining a temperature-resistant decision to carry out process optimization on the first PE line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410102985.2A CN117910785A (en) | 2024-01-25 | 2024-01-25 | PE line production process optimization method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410102985.2A CN117910785A (en) | 2024-01-25 | 2024-01-25 | PE line production process optimization method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117910785A true CN117910785A (en) | 2024-04-19 |
Family
ID=90685760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410102985.2A Pending CN117910785A (en) | 2024-01-25 | 2024-01-25 | PE line production process optimization method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117910785A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021169598A1 (en) * | 2020-02-27 | 2021-09-02 | 广东工业大学 | Digital twinning-based physical simulation method for production line and system thereof |
| CN115129003A (en) * | 2022-06-08 | 2022-09-30 | 华中科技大学 | Automatic production line intelligent monitoring system based on self-learning time-varying digital twin |
| CN116822353A (en) * | 2023-06-21 | 2023-09-29 | 盐城工学院 | Digital twin model rapid construction method in manufacturing process |
| CN116859873A (en) * | 2023-08-22 | 2023-10-10 | 广东凡易紧固件有限公司 | Fastener production process parameter control method and system |
| CN117035384A (en) * | 2023-08-10 | 2023-11-10 | 浙江中泽精密科技有限公司 | Optimized process evaluation method and system for battery aluminum shell explosion-proof valve |
-
2024
- 2024-01-25 CN CN202410102985.2A patent/CN117910785A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021169598A1 (en) * | 2020-02-27 | 2021-09-02 | 广东工业大学 | Digital twinning-based physical simulation method for production line and system thereof |
| CN115129003A (en) * | 2022-06-08 | 2022-09-30 | 华中科技大学 | Automatic production line intelligent monitoring system based on self-learning time-varying digital twin |
| CN116822353A (en) * | 2023-06-21 | 2023-09-29 | 盐城工学院 | Digital twin model rapid construction method in manufacturing process |
| CN117035384A (en) * | 2023-08-10 | 2023-11-10 | 浙江中泽精密科技有限公司 | Optimized process evaluation method and system for battery aluminum shell explosion-proof valve |
| CN116859873A (en) * | 2023-08-22 | 2023-10-10 | 广东凡易紧固件有限公司 | Fastener production process parameter control method and system |
Non-Patent Citations (1)
| Title |
|---|
| 高方方;宿春慧;王艳广;郑杨;: "基于云制造的生产线虚拟与物理系统互联信息模型的建模方法及应用", 制造业自动化, vol. 42, no. 03, 25 March 2020 (2020-03-25), pages 24 - 29 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106909705B (en) | Blast furnace molten iron quality forecasting method and system | |
| CN109765447B (en) | Automatic testing method for relay protection of intelligent substation | |
| CN111691679B (en) | Digital twinning-based intelligent tensioning method for prestressed steel structure | |
| CN103559185B (en) | Test data document resolves storage method | |
| CN109142362B (en) | Power plant metal material life evaluation method based on BP neural network | |
| CN109492345A (en) | A kind of turbine blade high-cycle fatigue life method based on SENet | |
| CN103675354B (en) | A kind of method of anemoscope failure testing and system | |
| CN114559133B (en) | Real-time detection method and system for arc striking continuity of universal welding | |
| CN110147611A (en) | A kind of Structural Damage Identification based on IWOA | |
| CN108169586A (en) | One kind is used for avionics system integration test method | |
| CN110716520B (en) | Flight control servo actuator reliability evaluation modeling method based on multi-source information fusion | |
| CN117218495A (en) | Risk detection method and system for electric meter box | |
| CN117910785A (en) | PE line production process optimization method and system | |
| CN114741922A (en) | Turbine blade creep-fatigue life prediction method based on Attention mechanism | |
| CN105158147B (en) | A kind of device and method for being used to test sealing ring material aging | |
| CN110347579B (en) | Deep learning test case selection method based on neuron output behavior pattern | |
| CN111914461A (en) | Intelligent assessment method for one-dimensional cold efficiency of turbine guide vane | |
| CN106844195A (en) | A kind of method of testing based on the test of unified instruction collection | |
| CN111950853B (en) | Electric power running state white list generation method based on information physical bilateral data | |
| CN105262636A (en) | Online testing system and method | |
| CN107885905A (en) | A kind of creep constitutive model construction method based on multi-section list sample | |
| CN109520643B (en) | Sensor for measuring weak stress-strain signal | |
| CN113891189A (en) | Novel FBG (fiber Bragg Grating) sensing network design | |
| CN102854875B (en) | Automobile air conditioner controller testing method and system | |
| CN105699043A (en) | Method for improving measuring stability and precision of wind tunnel sensor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |