CN115796678B - Intelligent production monitoring method and system for connecting wire - Google Patents
Intelligent production monitoring method and system for connecting wire Download PDFInfo
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- CN115796678B CN115796678B CN202211524151.8A CN202211524151A CN115796678B CN 115796678 B CN115796678 B CN 115796678B CN 202211524151 A CN202211524151 A CN 202211524151A CN 115796678 B CN115796678 B CN 115796678B
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 424
- 238000012544 monitoring process Methods 0.000 title claims abstract description 373
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 238000007781 pre-processing Methods 0.000 claims abstract description 15
- 238000011156 evaluation Methods 0.000 claims description 71
- 238000009826 distribution Methods 0.000 claims description 26
- 239000000463 material Substances 0.000 claims description 14
- 230000006978 adaptation Effects 0.000 claims description 11
- 238000000513 principal component analysis Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 17
- 238000012545 processing Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 7
- 238000002360 preparation method Methods 0.000 description 4
- 238000002788 crimping Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 1
- 238000009411 base construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000010008 shearing Methods 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000005476 soldering Methods 0.000 description 1
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- 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
Abstract
The application discloses an intelligent production monitoring method and system for a connecting wire, and relates to the field of data processing, wherein the method comprises the following steps: obtaining a plurality of production requirement parameters of a connecting wire to be produced; preprocessing a plurality of production requirement parameters to obtain the information of the connecting wire to be produced; monitoring node analysis is carried out on the connecting line to be produced, and a monitoring node set is obtained; analyzing node monitoring parameters of the connecting line to be produced to obtain a node monitoring parameter set; performing feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes; optimizing based on a plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced according to the optimal monitoring scheme. The technical problem of production monitoring effect to the connecting wire is not good among the prior art is solved. The comprehensive and accurate production monitoring of the connecting wire is improved, and the production monitoring quality of the connecting wire is improved.
Description
Technical Field
The application relates to the field of data processing, in particular to an intelligent production monitoring method and system for a connecting wire.
Background
Traditional connecting wire production monitoring mainly relies on manual inspection's mode to carry out equipment monitoring, production control etc.. However, because the actual production environment of the connecting wire is complex and various, the traditional production monitoring of the connecting wire is low in efficiency, low in accuracy and difficult to guarantee the production monitoring quality of the connecting wire, and the diversified requirements of real-time monitoring on the production of the connecting wire cannot be met. How to effectively monitor the production of the connecting wire is widely paid attention to.
In the prior art, the production monitoring of the connecting wire is low in comprehensiveness and insufficient in accuracy, so that the technical problem of poor production monitoring effect of the connecting wire is caused.
Disclosure of Invention
The application provides an intelligent production monitoring method and system for a connecting wire. The technical problems that production monitoring for the connecting wire in the prior art is low in comprehensiveness and insufficient in accuracy, and then poor in production monitoring effect of the connecting wire are caused are solved.
In view of the above problems, the application provides an intelligent production monitoring method and system for a connecting wire.
In a first aspect, the present application provides an intelligent production monitoring method for a connection line, where the method is applied to an intelligent production monitoring system for a connection line, the method includes: acquiring parameters of a connecting wire to be produced based on a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced, wherein the plurality of preset production requirement indexes comprise a structural requirement index, a material requirement index and an application environment requirement index; performing production feasibility assessment based on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain connecting line information to be produced; performing monitoring node analysis on the connecting line to be produced to obtain a monitoring node set, wherein the monitoring node set comprises a plurality of monitoring nodes; based on the to-be-produced connecting line information and the monitoring node set, carrying out node monitoring parameter analysis on the to-be-produced connecting line to obtain a node monitoring parameter set; performing feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes; optimizing based on the monitoring schemes to obtain an optimal monitoring scheme, and monitoring production of the connecting line to be produced based on the optimal monitoring scheme.
In a second aspect, the present application also provides an intelligent production monitoring system for a connection line, wherein the system comprises: the parameter acquisition module is used for acquiring parameters of the connecting wire to be produced based on a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced, wherein the plurality of preset production requirement indexes comprise a structural requirement index, a material requirement index and an application environment requirement index; the parameter preprocessing module is used for carrying out production feasibility evaluation based on the production requirement parameters to obtain production feasibility evaluation coefficients, and carrying out preprocessing on the production requirement parameters based on the production feasibility evaluation coefficients to obtain connecting line information to be produced; the monitoring node analysis module is used for carrying out monitoring node analysis on the connecting wire to be produced to obtain a monitoring node set, wherein the monitoring node set comprises a plurality of monitoring nodes; the node monitoring parameter analysis module is used for carrying out node monitoring parameter analysis on the connecting wire to be produced based on the connecting wire information to be produced and the monitoring node set to obtain a node monitoring parameter set; the monitoring scheme obtaining module is used for carrying out feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes; the production monitoring module is used for optimizing based on the plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced based on the optimal monitoring scheme.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
carrying out parameter acquisition on the connecting wire to be produced through a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced; carrying out production feasibility assessment on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain the information of the connecting line to be produced; carrying out monitoring node analysis on the connecting wire to be produced to obtain a monitoring node set, and carrying out node monitoring parameter analysis on the connecting wire to be produced by combining the information of the connecting wire to be produced to obtain a node monitoring parameter set; performing feature recognition on the node monitoring parameter set through the intelligent production monitoring management model to obtain a plurality of monitoring schemes; and optimizing the plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced according to the optimal monitoring scheme. The comprehensiveness and the accuracy of production monitoring of the connecting wire are improved, and the production monitoring quality of the connecting wire is improved; meanwhile, the production monitoring is intelligently, efficiently and reliably carried out on the connecting wire, so that the normal production of the connecting wire is ensured, and the production quality and the technical effect of the efficiency of the connecting wire are improved.
Drawings
FIG. 1 is a schematic flow chart of an intelligent production monitoring method of a connecting wire according to the present application;
FIG. 2 is a schematic flow chart of obtaining a node monitoring parameter set in the intelligent production monitoring method of the connecting line of the present application;
FIG. 3 is a schematic flow chart of obtaining multiple monitoring schemes in the intelligent production monitoring method of the connecting line;
fig. 4 is a schematic structural diagram of an intelligent production monitoring system with connecting wires according to the present application.
Reference numerals illustrate: the system comprises a parameter acquisition module 11, a parameter preprocessing module 12, a monitoring node analysis module 13, a node monitoring parameter analysis module 14, a monitoring scheme obtaining module 15 and a production monitoring module 16.
Detailed Description
The application provides an intelligent production monitoring method and system for a connecting wire, which solve the technical problems of poor production monitoring effect of the connecting wire caused by low comprehensiveness and insufficient accuracy of production monitoring of the connecting wire in the prior art. The comprehensiveness and the accuracy of production monitoring of the connecting wire are improved, and the production monitoring quality of the connecting wire is improved; meanwhile, the production monitoring is intelligently, efficiently and reliably carried out on the connecting wire, so that the normal production of the connecting wire is ensured, and the production quality and the technical effect of the efficiency of the connecting wire are improved.
Example 1
Referring to fig. 1, the application provides an intelligent production monitoring method for a connecting wire, wherein the method is applied to an intelligent production monitoring system for the connecting wire, and the method specifically comprises the following steps:
step S100: acquiring parameters of a connecting wire to be produced based on a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced, wherein the plurality of preset production requirement indexes comprise a structural requirement index, a material requirement index and an application environment requirement index;
specifically, information acquisition is carried out on the connecting wire to be produced according to a plurality of preset production requirement indexes, and a plurality of production requirement parameters of the connecting wire to be produced are obtained. Wherein the plurality of preset production requirement indexes comprise structural requirement indexes, material requirement indexes and application environment requirement indexes. The structure requirement index, the material requirement index and the application environment requirement index are respectively used for collecting the structure requirement parameter, the material requirement parameter and the application environment requirement parameter of the connecting wire to be produced.
The connecting wire to be produced is any connecting wire for intelligent production monitoring by using the intelligent production monitoring system of the connecting wire. For example, the connecting line to be produced can be a power line and a data line of electronic products such as computers, mobile phones and the like. The plurality of production requirement parameters of the connecting wire to be produced comprise structural requirement parameters, material requirement parameters and application environment requirement parameters of the connecting wire to be produced. The structural requirement parameters comprise structural requirement parameter information such as interface shape, cross-sectional area, wire core composition, length dimension and the like of the connecting wire to be produced. The material requirement parameters comprise material requirement parameter information such as material composition, material composition and the like of the connecting wire to be produced. The application environment requirement parameters comprise application object, working voltage, signal transmission speed, working temperature and other application environment requirement parameter information of the connecting line to be produced. The method achieves the technical effects that the information acquisition is carried out on the connecting wire to be produced through a plurality of preset production requirement indexes, a plurality of clear and definite production requirement parameters of the connecting wire to be produced are obtained, and a foundation is laid for the subsequent production monitoring of the connecting wire to be produced.
Step S200: performing production feasibility assessment based on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain connecting line information to be produced;
further, step S200 of the present application further includes:
step S210: obtaining a preset production feasibility evaluation coefficient;
step S220: judging whether the plurality of production feasibility assessment coefficients meet the preset production feasibility assessment coefficients or not to obtain a judgment result set, wherein the judgment result set comprises a judgment result meeting the preset coefficient and a judgment result not meeting the preset coefficient;
step S230: classifying the plurality of production requirement parameters based on the judging result set to obtain a feasible production requirement parameter set and an infeasible production requirement parameter set;
step S240: correcting based on the infeasible production requirement parameter set to obtain a corrected production requirement parameter set;
step S250: obtaining the information of the connecting wire to be produced in advance based on the feasible production requirement parameter set and the corrected production requirement parameter set;
step S260: and carrying out principal component analysis on the prepared connecting wire information to be produced to obtain the connecting wire information to be produced.
Specifically, the production feasibility evaluation is performed on a plurality of production requirement parameters by a plurality of connecting line production specialists, and a plurality of production feasibility evaluation coefficients are obtained. Further, comparing the plurality of production feasibility assessment coefficients with a preset production feasibility assessment coefficient, judging whether the plurality of production feasibility assessment coefficients meet the preset production feasibility assessment coefficient, and if the production feasibility assessment coefficient meets the preset production feasibility assessment coefficient, adding the production feasibility assessment coefficient to meet a preset coefficient judgment result; if the production feasibility evaluation coefficient does not meet the preset production feasibility evaluation coefficient, the production feasibility evaluation coefficient is added to the judgment result which does not meet the preset coefficient, so that a judgment result set formed by the judgment result which meets the preset coefficient and the judgment result which does not meet the preset coefficient is obtained. And then, matching the plurality of production requirement parameters according to the judging result set to obtain a feasible production requirement parameter set and an infeasible production requirement parameter set. And then, correcting the infeasible production requirement parameter set by a plurality of connecting wire production specialists, obtaining a corrected production requirement parameter set, combining the feasible production requirement parameter set to obtain the information of the connecting wire to be produced in advance, and carrying out principal component analysis on the information of the connecting wire to be produced in advance to determine the information of the connecting wire to be produced.
Wherein the plurality of production feasibility assessment coefficients are parameter information for characterizing a possibility that a plurality of production requirement parameters can be achieved. The larger the production feasibility assessment coefficient, the higher the likelihood that the corresponding production requirement parameter can be achieved. For example, when obtaining the plurality of production feasibility evaluation coefficients, the plurality of production requirement parameters include a production requirement parameter a, the production requirement parameter a may be evaluated for production feasibility by a plurality of connection line production specialists, a plurality of production probabilities corresponding to the production requirement parameter a may be obtained, an average value may be calculated for the plurality of production probabilities corresponding to the production requirement parameter a, and the average value calculation result may be used as the production feasibility evaluation coefficient corresponding to the production requirement parameter a. The plurality of connecting wire production specialists are a plurality of specialists in the connecting wire production field. The preset production feasibility assessment coefficient can be determined by self-defining setting. The judging result set comprises judging results meeting preset coefficients and judging results not meeting the preset coefficients. The judgment result meeting the preset coefficient comprises a plurality of production feasibility assessment coefficients meeting the preset production feasibility assessment coefficient. The unsatisfied preset coefficient judgment result comprises a plurality of production feasibility assessment coefficients which do not satisfy the preset production feasibility assessment coefficients. The feasible production requirement parameter set comprises a plurality of production feasibility assessment coefficients corresponding to the preset coefficient judgment result. The infeasible production requirement parameter set comprises a plurality of production feasibility assessment coefficients which do not meet the corresponding preset coefficient judgment result. The corrected production requirement parameter set comprises data information obtained after correction of the infeasible production requirement parameter set. The preparation to-be-produced connecting line information comprises a feasible production requirement parameter set and a corrected production requirement parameter set. The principal component analysis is the most commonly used linear dimension reduction method, and aims to map high-dimension information of the connecting wire to be produced in preparation to a low-dimension space through linear projection, so that dimension reduction processing is carried out on the information of the connecting wire to be produced, and redundant data are removed. And after dimension reduction, the information quantity loss of the obtained information of the connecting wire to be produced is minimum, so that the efficiency of carrying out node monitoring parameter analysis on the connecting wire to be produced subsequently is improved.
Step S300: performing monitoring node analysis on the connecting line to be produced to obtain a monitoring node set, wherein the monitoring node set comprises a plurality of monitoring nodes;
further, the step S300 of the present application further includes:
step S310: collecting production nodes of the connecting line to be produced to obtain a plurality of production nodes;
specifically, the production nodes are collected through big data on the connecting lines to be produced, and a plurality of production nodes are obtained. The production nodes comprise an electric wire shearing node, a terminal crimping node, a split charging node, a final assembly node and a detection node. Wire cutting nodes refer to the length required to cut various finished wires into the connection wire to be produced. The terminal crimping node refers to crimping a suitable terminal onto a sheared electrical wire. The split charging nodes comprise wire stripping and branching. The final assembly node comprises assembling various small strand wires on a tooling plate, soldering tin forming and packaging. The detection node comprises circuit detection, appearance detection, waterproof detection and the like. The technical effect of determining a plurality of production nodes and tamping the basis for obtaining the monitoring node set later is achieved.
Step S320: performing monitoring grade evaluation on the plurality of production nodes to obtain a plurality of production node monitoring grades;
further, step S320 of the present application further includes:
step S321: performing complexity evaluation on the plurality of production nodes to obtain a plurality of production node complexity coefficients;
step S322: carrying out production quality influence evaluation on the plurality of production nodes to obtain a plurality of production node quality influence parameters;
step S323: obtaining a preset weight distribution coefficient;
step S324: performing weight distribution on the complexity coefficients of the production nodes and the quality influence parameters of the production nodes based on the preset weight distribution coefficients to obtain a plurality of production node monitoring coefficients;
step S325: and obtaining the plurality of production node monitoring grades based on the plurality of production node monitoring coefficients.
Step S330: marking the plurality of production nodes based on the plurality of production node monitoring levels to obtain the monitoring node set.
Specifically, complexity evaluation and production quality influence evaluation are respectively carried out on a plurality of production nodes, and a plurality of production node complexity coefficients and a plurality of production node quality influence parameters are obtained. Further, weight distribution is carried out on the complexity coefficients of the production nodes and the quality influence parameters of the production nodes according to preset weight distribution coefficients to obtain a plurality of production node monitoring coefficients, the production node monitoring coefficients are set to be a plurality of production node monitoring levels, and the production nodes are marked according to the production node monitoring levels to obtain a monitoring node set.
Wherein the plurality of production node complexity coefficients are parameter information for characterizing the complexity of the plurality of production nodes. The more production processes of the production nodes, the more complex the production processes, and the higher the corresponding production node complexity coefficients. The production node quality influence parameters are parameter information for representing the production importance and the production quality influence of the production nodes on the connecting line. The preset weight distribution coefficient comprises a preset production node complexity weight distribution coefficient and a preset production node quality influence weight distribution coefficient, and the sum of the production node complexity weight distribution coefficient and the production node quality influence weight distribution coefficient is 1. For example, when obtaining the monitoring coefficients of the plurality of production nodes, the weight distribution of the complexity coefficients of the plurality of production nodes can be performed according to the complexity weight distribution coefficients of the production nodes in the preset weight distribution coefficients, so as to obtain the complexity weight distribution calculation results of the plurality of production nodes; performing weight distribution on the quality influence parameters of the plurality of production nodes according to the quality influence weight distribution coefficients of the production nodes in the preset weight distribution coefficients to obtain quality influence weight distribution calculation results of the plurality of production nodes; and finally, adding the complexity weight distribution calculation results of the plurality of production nodes and the quality influence weight distribution calculation results of the corresponding plurality of production nodes, so as to obtain a plurality of production node monitoring coefficients. The plurality of production node monitoring levels are a plurality of production node monitoring coefficients. The monitoring node set comprises a plurality of production nodes and a plurality of production node monitoring grades corresponding to the production nodes. The technical effects of obtaining a plurality of production node monitoring grades by carrying out monitoring grade evaluation on a plurality of production nodes, marking the plurality of production nodes according to the plurality of obtained production node monitoring grades, obtaining an accurate monitoring node set and improving the accuracy of node monitoring parameter analysis of a connecting line to be produced later are achieved.
Step S400: based on the to-be-produced connecting line information and the monitoring node set, carrying out node monitoring parameter analysis on the to-be-produced connecting line to obtain a node monitoring parameter set;
further, as shown in fig. 2, step S400 of the present application further includes:
step S410: constructing a connecting line production control knowledge base based on big data;
step S420: based on the to-be-produced connecting line information, carrying out production control parameter matching on the to-be-produced connecting line through the connecting line production control knowledge base to obtain a production control parameter set;
step S430: matching the production control parameter set based on the monitoring node set to obtain a node production control parameter set;
step S440: and obtaining the node monitoring parameter set based on the node production control parameter set.
Specifically, the historical production connecting line information and the historical production control parameter set are collected through big data, and a connecting line production control knowledge base is obtained. Further, carrying out matching analysis on the production connection line information to be produced based on the connection line production control knowledge base to obtain a production control parameter set, dividing the production control parameter set according to the monitoring node set to obtain a node production control parameter set, and setting the obtained node production control parameter set as a node monitoring parameter set. The connecting wire production control knowledge base comprises a plurality of historical production connecting wire information and a plurality of historical production control parameter sets corresponding to the historical production connecting wire information. Each of the plurality of historical production control parameter sets comprises data information such as historical wire cutting parameters, historical wire stripping parameters, historical wire branching parameters and the like. For example, when the production control parameter set is obtained, the to-be-produced connection line information and the plurality of historical production connection line information may be subjected to similarity evaluation, so as to obtain a plurality of similarity evaluation coefficients, where the plurality of similarity evaluation coefficients may be used to characterize the degree of similarity between the to-be-produced connection line information and the plurality of historical production connection line information. And screening the plurality of similarity evaluation coefficients to determine the maximum similarity evaluation coefficient, matching a plurality of historical production control parameter sets in the production control knowledge base of the connecting line according to the maximum similarity evaluation coefficient, and outputting the historical production control parameter set corresponding to the maximum similarity evaluation coefficient as a production control parameter set. The node production control parameter set comprises production control parameters corresponding to each monitoring node obtained after the production control parameter set is divided according to the monitoring node set. The set of node monitoring parameters includes a set of node production control parameters. The node monitoring parameter analysis is carried out on the connecting wire to be produced through the connecting wire production control knowledge base, an accurate and reliable node monitoring parameter set is obtained, and the comprehensive technical effect of carrying out production monitoring on the connecting wire to be produced is improved.
Step S500: performing feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes;
further, as shown in fig. 3, step S500 of the present application further includes:
step S510: constructing an intelligent production monitoring management model, wherein the intelligent production monitoring model comprises a node monitoring element identification model and a monitoring scheme matching model;
step S520: inputting the node monitoring parameter set into the node monitoring element identification model to obtain a node monitoring element set;
step S530: and inputting the node monitoring element set into the monitoring scheme matching model to obtain the plurality of monitoring schemes.
Specifically, the node monitoring parameter set is used as input information, a node monitoring element identification model is input, and a node monitoring element set is obtained. Further, the node monitoring element set is used as input information, and a monitoring scheme matching model is input to obtain a plurality of monitoring schemes. The intelligent production monitoring model comprises a node monitoring element identification model and a monitoring scheme matching model. The node monitoring element recognition model is obtained through training a large amount of data information related to node monitoring parameters, and has the functions of intelligently analyzing an input node monitoring parameter set and recognizing monitoring elements. The monitoring scheme matching model is obtained through training a large amount of data information related to the node monitoring elements, and has the functions of intelligently analyzing the input node monitoring element set and matching the monitoring scheme. The node monitoring element set comprises node monitoring element information corresponding to each node monitoring parameter in the node monitoring parameter set. For example, the set of node monitoring parameters includes appearance detection node monitoring parameters. The obtained node monitoring element set comprises appearance detection standards, an appearance detection method and an appearance detection flow. Each monitoring scheme in the plurality of monitoring schemes comprises data information such as corresponding monitoring frequency, monitoring items, monitoring areas, monitoring modes and the like of the plurality of monitoring nodes. The technical effects of performing feature recognition on the node monitoring parameter set through the intelligent production monitoring management model to obtain a plurality of monitoring schemes and providing data support for optimizing the plurality of monitoring schemes in the follow-up process are achieved.
Step S600: optimizing based on the monitoring schemes to obtain an optimal monitoring scheme, and monitoring production of the connecting line to be produced based on the optimal monitoring scheme.
Further, the step S600 of the present application further includes:
step S610: obtaining a production monitoring standard of the connecting wire;
step S620: performing fitness evaluation on the plurality of monitoring schemes based on the connecting line production monitoring standard to obtain a plurality of fitness evaluation coefficients;
step S630: acquiring a maximum fitness evaluation coefficient based on the plurality of fitness evaluation coefficients;
step S640: and matching the plurality of monitoring schemes based on the maximum adaptation degree evaluation coefficient to obtain the optimal monitoring scheme.
Specifically, the adaptation degree evaluation is carried out on a plurality of monitoring schemes according to the production monitoring standard of the connecting wire, and a plurality of adaptation degree evaluation coefficients are obtained. Further, the plurality of fitness evaluation coefficients are compared to determine a maximum fitness evaluation coefficient. And then, matching the plurality of monitoring schemes according to the maximum adaptation degree evaluation coefficient to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced according to the optimal monitoring scheme. The production monitoring standard of the connecting wire can be preset and determined through big data query. The fit evaluation coefficients are parameter information for representing the fit degree of the monitoring schemes to the production monitoring standard of the connecting wire. The higher the matching degree of the monitoring scheme to the production monitoring standard of the connecting wire is, the larger the corresponding adaptation degree evaluation coefficient is. When the plurality of fitness evaluation coefficients are obtained, the plurality of monitoring schemes comprise a monitoring scheme a, and the plurality of fitness evaluation is performed on the monitoring scheme a according to the production monitoring standard of the connecting wire, so that a plurality of pieces of fitness evaluation information corresponding to the monitoring scheme a are obtained. And screening out the maximum value and the minimum value of the plurality of pieces of fit degree evaluation information corresponding to the monitoring scheme a, carrying out average value calculation on the rest plurality of pieces of fit degree evaluation information, and outputting an average value calculation result of the obtained fit degree evaluation information as a fit degree evaluation coefficient corresponding to the monitoring scheme a. The maximum fitness evaluation coefficient is the maximum value of a plurality of fitness evaluation coefficients. The optimal monitoring scheme is a monitoring scheme corresponding to the maximum adaptation evaluation coefficient in the plurality of monitoring schemes. The technical effects of optimizing a plurality of monitoring schemes through the production monitoring standard of the connecting wire to obtain an optimal monitoring scheme and improving the quality of production monitoring of the connecting wire to be produced are achieved.
In summary, the intelligent production monitoring method for the connecting wire provided by the application has the following technical effects:
1. carrying out parameter acquisition on the connecting wire to be produced through a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced; carrying out production feasibility assessment on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain the information of the connecting line to be produced; carrying out monitoring node analysis on the connecting wire to be produced to obtain a monitoring node set, and carrying out node monitoring parameter analysis on the connecting wire to be produced by combining the information of the connecting wire to be produced to obtain a node monitoring parameter set; performing feature recognition on the node monitoring parameter set through the intelligent production monitoring management model to obtain a plurality of monitoring schemes; and optimizing the plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced according to the optimal monitoring scheme. The comprehensiveness and the accuracy of production monitoring of the connecting wire are improved, and the production monitoring quality of the connecting wire is improved; meanwhile, the production monitoring is intelligently, efficiently and reliably carried out on the connecting wire, so that the normal production of the connecting wire is ensured, and the production quality and the technical effect of the efficiency of the connecting wire are improved.
2. And analyzing node monitoring parameters of the connecting wire to be produced through the connecting wire production control knowledge base to obtain an accurate and reliable node monitoring parameter set, so that the comprehensiveness of production monitoring of the connecting wire to be produced is improved.
Example two
Based on the same inventive concept as the intelligent production monitoring method of a connecting wire in the foregoing embodiment, the present application further provides an intelligent production monitoring system of a connecting wire, referring to fig. 4, the system includes:
the parameter acquisition module 11 is configured to acquire parameters of a connecting line to be produced based on a plurality of preset production requirement indexes, and obtain a plurality of production requirement parameters of the connecting line to be produced, where the plurality of preset production requirement indexes include a structural requirement index, a material requirement index, and an application environment requirement index;
a parameter preprocessing module 12, where the parameter preprocessing module 12 is configured to perform production feasibility assessment based on the plurality of production requirement parameters to obtain a plurality of production feasibility assessment coefficients, and perform preprocessing on the plurality of production requirement parameters based on the plurality of production feasibility assessment coefficients to obtain to-be-produced connection line information;
the monitoring node analysis module 13 is configured to perform monitoring node analysis on the connection line to be produced, so as to obtain a monitoring node set, where the monitoring node set includes a plurality of monitoring nodes;
the node monitoring parameter analysis module 14 is configured to perform node monitoring parameter analysis on the connection line to be produced based on the connection line information to be produced and the monitoring node set, so as to obtain a node monitoring parameter set;
the monitoring scheme obtaining module 15 is used for carrying out feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes;
the production monitoring module 16 is configured to perform optimizing based on the multiple monitoring schemes, obtain an optimal monitoring scheme, and perform production monitoring on the connection line to be produced based on the optimal monitoring scheme.
Further, the system further comprises:
the first preset coefficient obtaining module is used for obtaining a preset production feasibility evaluation coefficient;
the judging result set obtaining module is used for judging whether the plurality of production feasibility assessment coefficients meet the preset production feasibility assessment coefficients or not to obtain a judging result set, wherein the judging result set comprises a judging result meeting the preset coefficient and a judging result not meeting the preset coefficient;
the production requirement parameter classification module is used for classifying the plurality of production requirement parameters based on the judging result set to obtain a feasible production requirement parameter set and an infeasible production requirement parameter set;
the corrected production requirement parameter set obtaining module is used for correcting based on the infeasible production requirement parameter set to obtain a corrected production requirement parameter set;
the preparation to-be-produced connecting wire information obtaining module is used for obtaining preparation to-be-produced connecting wire information based on the feasible production requirement parameter set and the correction production requirement parameter set;
the to-be-produced connecting wire information obtaining module is used for carrying out principal component analysis on the prepared to-be-produced connecting wire information to obtain the to-be-produced connecting wire information.
Further, the system further comprises:
the production node acquisition module is used for carrying out production node acquisition on the connecting wire to be produced to obtain a plurality of production nodes;
the production node monitoring grade obtaining module is used for carrying out monitoring grade evaluation on the plurality of production nodes to obtain a plurality of production node monitoring grades;
the monitoring node set obtaining module is used for marking the plurality of production nodes based on the plurality of production node monitoring grades to obtain the monitoring node set.
Further, the system further comprises:
the complexity evaluation module is used for performing complexity evaluation on the plurality of production nodes to obtain a plurality of production node complexity coefficients;
the production quality influence evaluation module is used for carrying out production quality influence evaluation on the plurality of production nodes to obtain a plurality of production node quality influence parameters;
the second preset coefficient obtaining module is used for obtaining preset weight distribution coefficients;
the production node monitoring coefficient obtaining module is used for carrying out weight distribution on the complexity coefficients of the production nodes and the quality influence parameters of the production nodes based on the preset weight distribution coefficient to obtain a plurality of production node monitoring coefficients;
the first execution module is used for obtaining the plurality of production node monitoring grades based on the plurality of production node monitoring coefficients.
Further, the system further comprises:
the knowledge base construction module is used for constructing a connecting line production control knowledge base based on big data;
the production control parameter set obtaining module is used for carrying out production control parameter matching on the connecting wire to be produced through the connecting wire production control knowledge base based on the connecting wire information to be produced to obtain a production control parameter set;
the node production control parameter set obtaining module is used for matching the production control parameter set based on the monitoring node set to obtain a node production control parameter set;
the node monitoring parameter set determining module is used for obtaining the node monitoring parameter set based on the node production control parameter set.
Further, the system further comprises:
the second execution module is used for constructing an intelligent production monitoring management model, wherein the intelligent production monitoring model comprises a node monitoring element identification model and a monitoring scheme matching model;
the node monitoring element set determining module is used for inputting the node monitoring parameter set into the node monitoring element identification model to obtain a node monitoring element set;
and the monitoring scheme determining module is used for inputting the node monitoring element set into the monitoring scheme matching model to obtain the plurality of monitoring schemes.
Further, the system further comprises:
the standard obtaining module is used for obtaining the production monitoring standard of the connecting wire;
the adaptation degree evaluation coefficient obtaining module is used for carrying out adaptation degree evaluation on the plurality of monitoring schemes based on the connecting wire production monitoring standard to obtain a plurality of adaptation degree evaluation coefficients;
the maximum fitness evaluation coefficient determining module is used for obtaining a maximum fitness evaluation coefficient based on the plurality of fitness evaluation coefficients;
the optimal monitoring scheme obtaining module is used for matching the plurality of monitoring schemes based on the maximum adaptation degree evaluation coefficient to obtain the optimal monitoring scheme.
The application provides an intelligent production monitoring method of a connecting wire, wherein the method is applied to an intelligent production monitoring system of the connecting wire, and the method comprises the following steps: carrying out parameter acquisition on the connecting wire to be produced through a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced; carrying out production feasibility assessment on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain the information of the connecting line to be produced; carrying out monitoring node analysis on the connecting wire to be produced to obtain a monitoring node set, and carrying out node monitoring parameter analysis on the connecting wire to be produced by combining the information of the connecting wire to be produced to obtain a node monitoring parameter set; performing feature recognition on the node monitoring parameter set through the intelligent production monitoring management model to obtain a plurality of monitoring schemes; and optimizing the plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced according to the optimal monitoring scheme. The technical problems that production monitoring for the connecting wire in the prior art is low in comprehensiveness and insufficient in accuracy, and then poor in production monitoring effect of the connecting wire are caused are solved. The comprehensiveness and the accuracy of production monitoring of the connecting wire are improved, and the production monitoring quality of the connecting wire is improved; meanwhile, the production monitoring is intelligently, efficiently and reliably carried out on the connecting wire, so that the normal production of the connecting wire is ensured, and the production quality and the technical effect of the efficiency of the connecting wire are improved.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The specification and drawings are merely exemplary of the present application, and the present application is intended to cover modifications and variations of the present application provided they come within the scope of the application and its equivalents.
Claims (8)
1. An intelligent production monitoring method for a connecting wire, which is characterized by comprising the following steps:
acquiring parameters of a connecting wire to be produced based on a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced, wherein the plurality of preset production requirement indexes comprise a structural requirement index, a material requirement index and an application environment requirement index;
performing production feasibility assessment based on the production requirement parameters to obtain production feasibility assessment coefficients, and preprocessing the production requirement parameters based on the production feasibility assessment coefficients to obtain connecting line information to be produced;
performing monitoring node analysis on the connecting line to be produced to obtain a monitoring node set, wherein the monitoring node set comprises a plurality of monitoring nodes;
based on the to-be-produced connecting line information and the monitoring node set, carrying out node monitoring parameter analysis on the to-be-produced connecting line to obtain a node monitoring parameter set;
performing feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes;
optimizing based on the monitoring schemes to obtain an optimal monitoring scheme, and monitoring production of the connecting line to be produced based on the optimal monitoring scheme.
2. The method of claim 1, wherein the obtaining connection line information to be produced, the method further comprising:
obtaining a preset production feasibility evaluation coefficient;
judging whether the plurality of production feasibility assessment coefficients meet the preset production feasibility assessment coefficients or not to obtain a judgment result set, wherein the judgment result set comprises a judgment result meeting the preset coefficient and a judgment result not meeting the preset coefficient;
classifying the plurality of production requirement parameters based on the judging result set to obtain a feasible production requirement parameter set and an infeasible production requirement parameter set;
correcting based on the infeasible production requirement parameter set to obtain a corrected production requirement parameter set;
obtaining the information of the connecting wire to be produced in advance based on the feasible production requirement parameter set and the corrected production requirement parameter set;
and carrying out principal component analysis on the prepared connecting wire information to be produced to obtain the connecting wire information to be produced.
3. The method of claim 1, wherein the obtaining a set of monitoring nodes, the method further comprising:
collecting production nodes of the connecting line to be produced to obtain a plurality of production nodes;
performing monitoring grade evaluation on the plurality of production nodes to obtain a plurality of production node monitoring grades;
marking the plurality of production nodes based on the plurality of production node monitoring levels to obtain the monitoring node set.
4. The method of claim 3, wherein the obtaining a plurality of production node monitoring levels, the method further comprises:
performing complexity evaluation on the plurality of production nodes to obtain a plurality of production node complexity coefficients;
carrying out production quality influence evaluation on the plurality of production nodes to obtain a plurality of production node quality influence parameters;
obtaining a preset weight distribution coefficient;
performing weight distribution on the complexity coefficients of the production nodes and the quality influence parameters of the production nodes based on the preset weight distribution coefficients to obtain a plurality of production node monitoring coefficients;
and obtaining the plurality of production node monitoring grades based on the plurality of production node monitoring coefficients.
5. The method of claim 1, wherein the obtaining a set of node monitoring parameters, the method further comprising:
constructing a connecting line production control knowledge base based on big data;
based on the to-be-produced connecting line information, carrying out production control parameter matching on the to-be-produced connecting line through the connecting line production control knowledge base to obtain a production control parameter set;
matching the production control parameter set based on the monitoring node set to obtain a node production control parameter set;
and obtaining the node monitoring parameter set based on the node production control parameter set.
6. The method of claim 1, wherein the obtaining a plurality of monitoring schemes, the method further comprising:
constructing an intelligent production monitoring management model, wherein the intelligent production monitoring model comprises a node monitoring element identification model and a monitoring scheme matching model;
inputting the node monitoring parameter set into the node monitoring element identification model to obtain a node monitoring element set;
and inputting the node monitoring element set into the monitoring scheme matching model to obtain the plurality of monitoring schemes.
7. The method of claim 1, wherein the optimal monitoring scheme is obtained, the method further comprising:
obtaining a production monitoring standard of the connecting wire;
performing fitness evaluation on the plurality of monitoring schemes based on the connecting line production monitoring standard to obtain a plurality of fitness evaluation coefficients;
acquiring a maximum fitness evaluation coefficient based on the plurality of fitness evaluation coefficients;
and matching the plurality of monitoring schemes based on the maximum adaptation degree evaluation coefficient to obtain the optimal monitoring scheme.
8. An intelligent production monitoring system for a connection line, the system comprising:
the parameter acquisition module is used for acquiring parameters of the connecting wire to be produced based on a plurality of preset production requirement indexes to obtain a plurality of production requirement parameters of the connecting wire to be produced, wherein the plurality of preset production requirement indexes comprise a structural requirement index, a material requirement index and an application environment requirement index;
the parameter preprocessing module is used for carrying out production feasibility evaluation based on the production requirement parameters to obtain production feasibility evaluation coefficients, and carrying out preprocessing on the production requirement parameters based on the production feasibility evaluation coefficients to obtain connecting line information to be produced;
the monitoring node analysis module is used for carrying out monitoring node analysis on the connecting wire to be produced to obtain a monitoring node set, wherein the monitoring node set comprises a plurality of monitoring nodes;
the node monitoring parameter analysis module is used for carrying out node monitoring parameter analysis on the connecting wire to be produced based on the connecting wire information to be produced and the monitoring node set to obtain a node monitoring parameter set;
the monitoring scheme obtaining module is used for carrying out feature recognition on the node monitoring parameter set based on the intelligent production monitoring management model to obtain a plurality of monitoring schemes;
the production monitoring module is used for optimizing based on the plurality of monitoring schemes to obtain an optimal monitoring scheme, and carrying out production monitoring on the connecting line to be produced based on the optimal monitoring scheme.
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