CN117094608A - Titanium belt production control method and system combining application requirements - Google Patents
Titanium belt production control method and system combining application requirements Download PDFInfo
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- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 title claims abstract description 89
- 229910052719 titanium Inorganic materials 0.000 title claims abstract description 89
- 239000010936 titanium Substances 0.000 title claims abstract description 89
- 238000000195 production control method Methods 0.000 title claims abstract description 7
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 295
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- 239000011159 matrix material Substances 0.000 claims description 9
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- 230000004927 fusion Effects 0.000 claims description 5
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- 230000003213 activating effect Effects 0.000 claims description 3
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- 238000005260 corrosion Methods 0.000 description 2
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- 238000010438 heat treatment Methods 0.000 description 2
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- 230000008018 melting Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 239000003208 petroleum Substances 0.000 description 2
- 239000013643 reference control Substances 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 229910001069 Ti alloy Inorganic materials 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
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Abstract
The disclosure provides a titanium belt production control method and system combining application requirements, and relates to a titanium processing technology, wherein the method comprises the following steps: determining application performance requirements; performing hierarchical progressive analysis of process association and parameter control association aiming at application performance requirements, and determining a cascade production network; performing production supervision step by step to obtain process supervision data; performing process quality evaluation and subsequent process association influence analysis to determine production regulation information; feeding back the production regulation information to the production line numerical control equipment to perform production regulation of the next working procedure; summarizing production regulation and control information, performing process parameter fusion processing, determining overall parameter regulation data, calibrating a cascade production network, and executing subsequent titanium strip production control. The technical problem that the production quality of the titanium belt is low due to low equipment control precision and accuracy in the conventional titanium belt production method can be solved, and the precision of equipment control in the titanium belt production process can be improved, so that the production quality of the titanium belt is improved.
Description
Technical Field
The present disclosure relates to titanium processing technology, and more particularly, to a titanium belt production control method and system that incorporates application requirements.
Background
The titanium alloy has the advantages of low density, high specific strength, strong corrosion resistance and the like, is widely applied to the fields of chemical industry, ocean engineering, aerospace and the like at present, the titanium material is a carrier for specific application of excellent performance of titanium, and the titanium belt belongs to one of the titanium materials.
In the traditional titanium belt production process, fixed equipment control parameters are usually set according to product performance requirements to process the titanium belt, the method has low flexibility, and the equipment control parameters cannot be adjusted and optimized in time according to actual conditions, so that the equipment control precision and accuracy are low, and the quality requirements of products cannot be met.
The existing titanium belt production method has the following defects: the production quality of the titanium belt is lower due to lower equipment control precision and accuracy.
Disclosure of Invention
Therefore, in order to solve the above technical problems, the technical solution adopted in the embodiments of the present disclosure is as follows:
the titanium belt production control method combining application requirements comprises the following steps: reading application scenes of batch worksheets, and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards; acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association; taking the cascade production network as a reference, combining with a sensing monitoring module, carrying out production supervision step by step, and obtaining process supervision data; the process supervision data flow is transferred to an adaptive evaluation and control module, process quality evaluation and subsequent process association influence analysis are carried out, and production regulation and control information is determined, wherein the sensing monitoring module is connected with the adaptive evaluation and control module through a channel; if the production regulation information is non-empty and belongs to the lower working procedure, feeding the production regulation information back to the production line numerical control equipment to carry out production regulation of the lower working procedure; performing same-frequency supervision regulation and control of titanium belt production and process correction analysis step by step until process production based on the cascade production network is completed; summarizing the production regulation and control information, performing procedure parameter fusion processing, determining overall parameter regulation data, calibrating the cascade production network, and executing subsequent titanium belt production control.
A titanium strip production control system incorporating application requirements, comprising:
the application performance requirement determining module is used for reading application scenes of batch worksheets and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards;
the cascade production network determining module is used for acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association;
the process supervision data acquisition module is used for carrying out process supervision by process by taking the cascade production network as a reference and combining with the sensing monitoring module to acquire process supervision data;
the association influence analysis module is used for transferring the process supervision data flow to the self-adaptive evaluation and control module, performing process quality evaluation and subsequent process association influence analysis, and determining production regulation and control information, wherein the sensing monitoring module is connected with the self-adaptive evaluation and control module through a channel;
the production tuning module of the lower process is used for feeding back the production control information to the production line numerical control equipment to perform production tuning of the lower process if the production control information is non-empty and belongs to the lower process;
the regulation and control correction module is used for carrying out common-frequency supervision regulation and control and process correction analysis on the titanium belt production process by process until the process production based on the cascade production network is completed;
and the cascade production network calibration module is used for summarizing the production regulation and control information and carrying out procedure parameter fusion processing, determining overall parameter regulation data to calibrate the cascade production network and executing subsequent titanium strip production control.
By adopting the technical method, compared with the prior art, the technical progress of the present disclosure has the following points:
can solve the technical problem of lower production quality of the titanium belt caused by lower equipment control precision and accuracy in the existing titanium belt production method. Firstly, determining application performance requirements of a titanium belt according to an application scene of the titanium belt, wherein the application performance requirements comprise a basic performance standard and a flexible performance standard; then, based on a titanium belt production process, performing hierarchical progressive analysis of process association and parameter control association according to the application performance requirements, obtaining hierarchical mapping association, and constructing a cascade production network according to the hierarchical mapping relationship; then taking the cascade production network as a reference, combining with a sensing monitoring module, monitoring the production of the titanium belt step by step, and obtaining process monitoring data; performing process quality evaluation and subsequent process association influence analysis on the process supervision data according to the self-adaptive evaluation and control module to determine production regulation information; when the production regulation information is non-empty and belongs to a lower working procedure, feeding the production regulation information back to the production line numerical control equipment to carry out production regulation of the lower working procedure; performing same-frequency supervision regulation and control of titanium belt production and process correction analysis step by step until process production based on the cascade production network is completed; and finally, summarizing the production regulation and control information, performing procedure parameter fusion processing, determining overall parameter regulation data, calibrating the cascade production network, and executing subsequent titanium belt production control. By the method, the accuracy of equipment control in the titanium belt production process can be improved, so that the titanium belt production quality is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are used in the description of the embodiments will be briefly described below.
FIG. 1 is a schematic flow chart of a method for controlling production of a titanium strip according to application requirements;
FIG. 2 is a schematic flow chart of a cascade production network generated in a control method for producing a titanium strip according to application requirements;
FIG. 3 is a schematic diagram of a titanium belt production control system according to the present application.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
Based on the above description, as shown in fig. 1, the present disclosure provides a method for controlling production of a titanium belt in combination with application requirements, including:
the method provided by the application is used for optimally controlling equipment in the titanium belt production process in combination with the application requirement of the titanium belt product so as to achieve the purpose of improving the equipment control accuracy and the titanium belt production quality, and is specifically implemented in a titanium belt production control system in combination with the application requirement.
Reading application scenes of batch worksheets, and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards;
in the embodiment of the application, firstly, an application scene of the titanium tape work order of the batch is called, wherein the application scene refers to a specific application environment of the titanium tape product of the batch, for example: when titanium belts are used as heat exchangers in the petroleum industry, there are various environments of application in petroleum production, including environmental conditions such as temperature, pressure, etc. And then analyzing the application performance requirements of the titanium belt according to the application scene, wherein the application performance requirements comprise basic performance standards and flexible performance standards, and the basic performance standards comprise a plurality of basic attribute performances of the titanium belt, such as: standard strength, standard wear resistance, standard density, standard foldability, etc.; the flexibility performance standard refers to the adaptability of the titanium belt under different conditions, including temperature conditions, humidity conditions, pressure conditions and the like.
The application performance requirement is determined according to the application scene of the titanium belt, so that the adaptation degree of the performance of the titanium belt and the application scene can be improved, the stability and the quality of the titanium belt in the use process can be improved, and meanwhile, data support is provided for the correlation analysis of the next step of application performance requirement and the production process.
Acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association;
in the embodiment of the application, firstly, a target production process of a titanium belt product is obtained, wherein the target production process comprises a plurality of production links, working procedures and corresponding control parameters in the titanium belt production process. And then carrying out hierarchical progressive analysis on the relevance of the production process and the relevance of the control parameter according to the application performance requirement, and determining a cascade production network according to a hierarchical progressive analysis result, wherein the cascade production network has hierarchical mapping relevance.
As shown in fig. 2, in one embodiment, the method further comprises:
traversing the application performance requirements, respectively carrying out correlation analysis of production procedures, and determining performance related procedures, wherein the performance related procedures have one-to-many relation between each application performance requirement and the production procedures;
building a procedure association layer based on the performance association procedure;
in the embodiment of the present application, first, correlation analysis is sequentially performed on the application performance requirement and the production process, where the production process includes a plurality of links such as smelting, ingot casting, flat roll rolling, heat treatment, finishing, and the like, the correlation analysis refers to determining whether the production process will affect the performance of the titanium strip, and determining a performance-related process, the performance-related process refers to a process that will affect the application performance, and the performance-related process has a one-to-many relationship between each application performance requirement and the production process, for example: the strength of the titanium strip is related to a plurality of steps such as melting, ingot casting, flat roll rolling, heat treatment, and the like.
And then building a procedure association layer according to the mapping relation between the application performance and the association procedure in the performance association procedure, wherein the procedure association layer comprises a plurality of application performances and one or more corresponding production procedures.
Traversing the performance association procedure, determining procedure parameter control information, and establishing a parameter control association layer;
in one embodiment, the method further comprises:
traversing the performance association procedure, determining procedure control parameters, and carrying out mapping production line numerical control equipment identification to generate procedure parameter control information;
performing peer association of the process parameter control information and inter-stage association of the associated process, and determining process associated parameter control;
and building the parameter control correlation layer based on the procedure correlation parameter control.
In the embodiment of the application, firstly, the process control parameters of the performance related process are sequentially acquired, and then the controlled production line numerical control equipment is mapped and identified according to the process control parameters to obtain process parameter control information, wherein the process parameter control information comprises the process control parameters and the corresponding production line numerical control equipment. Then carrying out peer association and inter-stage association of associated procedures on the procedure control information, wherein the peer association refers to carrying out association analysis on control parameters of the same procedure; the inter-stage association refers to performing association analysis on control parameters of adjacent working procedures to obtain working procedure association parameter controls, wherein the working procedure association parameter controls comprise a same-stage association parameter control and an inter-stage association parameter control. And constructing a parameter control correlation layer according to the procedure correlation parameter control to generate the parameter control correlation layer.
Building a reference layer based on the target production process and the application performance requirement;
and carrying out hierarchical mapping association on the reference layer, the process association layer and the parameter control association layer to generate the cascade production network.
In the embodiment of the application, a reference layer is built according to the mapping relation between the production procedures in the target production process and the application performance requirements, wherein the reference layer comprises a plurality of application performance requirements and one or more corresponding production procedures. And then carrying out hierarchical mapping association on the reference layer, the process association layer and the reference control association layer, wherein the hierarchical mapping association refers to analysis on the interaction between the reference layer, the process association layer and the reference control association layer, determining a hierarchical mapping relation, and finally completing construction of a cascade production network based on the hierarchical mapping relation to obtain the cascade production network.
The application performance requirements are split layer by layer according to the production procedures, hierarchical association and peer association analysis are carried out, and then a cascade production network is constructed according to the association analysis result, so that the control analysis accuracy of the production line numerical control equipment can be improved, and the control accuracy of the numerical control equipment is improved.
Taking the cascade production network as a reference, combining with a sensing monitoring module, carrying out production supervision step by step, and obtaining process supervision data;
in the embodiment of the application, the cascade production network is used as a titanium belt production control reference, and the process of titanium belt production is supervised step by combining with a sensing and monitoring module, wherein the sensing and monitoring module is used for monitoring control parameters of production line numerical control equipment and comprises a plurality of sensing and monitoring devices to obtain process supervision data. By obtaining the process supervision data, support is provided for the next step of process production quality assessment.
The process supervision data flow is transferred to an adaptive evaluation and control module, process quality evaluation and subsequent process association influence analysis are carried out, and production regulation and control information is determined, wherein the sensing monitoring module is connected with the adaptive evaluation and control module through a channel;
in the embodiment of the application, the process supervision data is input into the self-adaptive evaluation and control module to perform process quality evaluation and subsequent process association influence analysis, wherein the numerical control equipment, the sensing monitoring device, the sensing monitoring module and the self-adaptive evaluation and control module are in communication connection in a signal transmission mode and form a closed communication loop.
In one embodiment, the method further comprises:
the self-adaptive evaluation and control module comprises a process quality inspection module and a calibration analysis module which are connected in front-back mode, and the cascade production network is embedded in the calibration analysis module;
the process supervision data flow is transferred to the process quality inspection module, parameter control precision evaluation and parameter control effect evaluation are carried out, quality off-axis information is determined, and the quality off-axis information identifies a process quality coefficient;
in one embodiment, the method further comprises:
configuring a parameter control tolerance interval based on a parameter control precision standard;
taking the parameter control tolerance interval as a judgment basis, measuring parameter control deviation degree, carrying out weighting summation, and determining the process quality coefficient;
taking surface quality, mechanical characteristics and multi-element tolerance as quality evaluation dimensions, and determining a standard dimension index matrix;
and identifying a process parameter control effect, mapping the standard dimension index matrix and locking process association indexes, and carrying out index differentiation measurement to determine the quality off-axis information.
In the embodiment of the application, the self-adaptive evaluation and control module comprises a process quality inspection module and a calibration analysis module, wherein the process quality inspection module and the calibration analysis module have a front-back connection relationship, namely, the process quality inspection is performed first and then the calibration analysis is performed, and the process quality inspection module is used for evaluating the process quality according to process supervision data; the calibration analysis is used for calibrating the subsequent association procedure, wherein the calibration analysis module is embedded with the cascade production network.
And inputting the process supervision data into the process quality inspection module for parameter control precision evaluation and parameter control effect evaluation, and determining quality off-axis information, wherein the quality off-axis information refers to the deviation degree of a quality evaluation result and standard quality, and the quality off-axis information identifies a process quality coefficient.
Firstly, configuring a parameter control tolerance interval according to the parameter control precision standard, wherein the parameter control tolerance interval is used for representing a tolerable control parameter error range, namely, a control parameter error is normal in the parameter control tolerance interval, and the parameter control tolerance interval can be set according to the actual requirement of the parameter control precision standard, wherein the parameter control tolerance interval is smaller as the parameter control precision requirement is higher; otherwise, the lower the parameter control precision requirement is, the larger the parameter control tolerance interval is.
And then taking the parameter control tolerance interval as a judgment basis, and performing parameter control deviation degree calculation on the process supervision data, namely subtracting the parameter control tolerance interval from the process supervision data, obtaining deviation values of the process supervision data and the parameter control tolerance interval, obtaining a plurality of parameter control deviation values, and generating a plurality of parameter control deviation degrees according to the plurality of deviation values, wherein the larger the deviation value is, the larger the parameter control deviation degree is. Different weights are set for a plurality of control parameters in the process supervision data respectively, wherein the larger the influence of which control parameter on the process production quality is, the larger the corresponding weight is, the weight setting can be performed through a variation coefficient method, wherein the variation coefficient method is a weighting method commonly used by a person skilled in the art, a plurality of weights corresponding to a plurality of reference deviation degrees are obtained without unfolding explanation, weighting calculation is performed according to the plurality of reference deviation degrees and the plurality of weights, and a weighted calculation result is taken as a process quality coefficient to obtain the process quality coefficient, wherein the larger the process quality coefficient is, the worse the production quality of the process is represented.
The surface quality, mechanical characteristics and multi-element tolerance of the titanium belt are used as the quality evaluation dimension of the titanium belt, wherein the surface quality comprises the characteristics of smoothness, uniformity and the like of the surface of the titanium belt; the mechanical characteristics comprise strength, folding resistance and the like; the multi-element tolerance comprises the characteristics of corrosion resistance, abrasion resistance and the like, a plurality of standard index data of the quality evaluation dimension are obtained, and a standard dimension index matrix is constructed according to the plurality of standard index data.
And taking the quality evaluation dimension as a reference, carrying out quality detection on the process control effect through a plurality of quality detection instruments to obtain a plurality of index detection results, determining a process association index according to the standard dimension index matrix, and carrying out index deviation degree calculation according to the standard quality index and the corresponding index detection results to obtain a plurality of index deviation degrees. And then carrying out weighted summation according to the index deviation degrees and the corresponding weights, taking the weighted summation result as a working procedure quality coefficient, and embedding the working procedure quality coefficient into the quality off-axis information axis to obtain the quality off-axis information.
And if the process quality coefficient does not meet a threshold value standard, outputting the quality off-axis information, and performing blank resetting on the production regulation and control information.
In the embodiment of the application, firstly, the threshold standard of the process quality is obtained, wherein the threshold standard can be set by a person skilled in the art according to actual requirements, and the higher the quality requirement is, the lower the threshold standard is. And judging the process quality coefficient according to the threshold standard, and when the process quality coefficient is smaller than the threshold standard, outputting the quality off-axis information and performing blank resetting on the production regulation and control information when the process production quality meets the preset quality requirement.
In one embodiment, the method further comprises:
if the process quality coefficient meets a threshold value standard, activating the calibration analysis module, and transferring the quality off-axis information flow to the calibration analysis module;
determining a back-end production impact based on the quality off-axis information in combination with the cascading production network lock back-end association procedure;
determining associated process correction information based on the subsequent production impact;
and integrating the related procedure correction information to generate the production regulation information.
In the embodiment of the application, when the process quality coefficient is greater than or equal to the threshold standard, the process quality is characterized as not meeting the preset quality requirement, the calibration analysis module is activated, and the quality off-axis information is input into the calibration analysis module. And then acquiring a subsequent association procedure according to the cascade production network, wherein the subsequent association procedure refers to a next adjacent procedure with association with the current procedure, and analyzing the quality influence of the subsequent association procedure according to the quality off-axis information to obtain the subsequent production influence.
And then, carrying out process calibration analysis on the later-step production influence, wherein the process calibration analysis refers to how to adjust control parameters of the later-step related process to eliminate the later-step production influence and obtain related process correction information. For example: the process correction analysis model may be constructed based on a BP neural network, and a plurality of historical production impact data and a corresponding plurality of qualified process correction data may be acquired as a training data set of the model, and then the process correction analysis model may be subjected to supervised training and validation training by the training data set, and an expected index may be set, for example: setting the expected index to be 95% of the accuracy of the output result, and setting the expected index according to actual conditions by a person skilled in the art; when the accuracy of the output result of the process correction analysis model is larger than the expected index, obtaining a trained process correction analysis model, and then inputting the influence of the subsequent production into the process correction analysis model for process correction analysis to obtain related process correction information.
And then integrating the correction information of the related procedure to obtain the production regulation information, and providing support for the next control optimization of the subsequent titanium belt production line numerical control equipment by obtaining the production regulation information, and simultaneously, timely optimizing and adjusting the production process of the titanium belt to further improve the precision and accuracy of the production control of the titanium belt.
If the production regulation information is non-empty and belongs to the lower working procedure, feeding the production regulation information back to the production line numerical control equipment to carry out production regulation of the lower working procedure;
in the embodiment of the application, the production regulation information is judged, and when the production regulation information is non-empty and has relevance with the lower-level working procedure, the production regulation information is input into a control module of the production line numerical control equipment, and the production regulation of the lower-level working procedure is completed by optimally controlling the production line numerical control equipment according to the production regulation information.
Performing same-frequency supervision regulation and control of titanium belt production and process correction analysis step by step until process production based on the cascade production network is completed;
in the embodiment of the application, the same-frequency supervision regulation and control and procedure correction analysis of the titanium belt production are sequentially carried out procedure by procedure according to the cascade production network, and the production regulation information in the production process is recorded and stored until the process production based on the cascade production network is completed.
Summarizing the production regulation and control information, performing procedure parameter fusion processing, determining overall parameter regulation data, calibrating the cascade production network, and executing subsequent titanium belt production control.
In the embodiment of the application, the production regulation and control information is summarized according to the production procedure to obtain summarized production regulation and control information, procedure parameter fusion processing is carried out according to the summarized production regulation and control information to obtain overall regulation and control parameter data, finally the cascade production network is calibrated according to the overall regulation and control parameter data, and the subsequent titanium strip production control is executed through the calibrated cascade production network. The method can solve the technical problem of lower production quality of the titanium belt caused by lower equipment control precision and accuracy in the existing titanium belt production method, and can improve the precision of equipment control in the titanium belt production process, thereby improving the production quality of the titanium belt.
In one embodiment, the method further comprises:
accumulating process production regulation information of each production process based on the production regulation information;
constructing an fitness function by taking the regulation loss as a constraint and the production regulation information of the related procedure as a response target;
and determining process production regulation and control information corresponding to each group of related processes, carrying out parameter fusion and allocation analysis of the related processes by combining the fitness function, and determining the overall parameter regulation and control data based on the optimal parameter regulation scheme.
In the embodiment of the application, firstly, the production regulation information is accumulated according to the sequence of the production process to obtain the production regulation information of the summarizing process. Taking regulation loss as a constraint condition, wherein the regulation loss refers to comprehensive loss in the regulation process of the production line numerical control equipment, and the regulation loss comprises energy loss, equipment loss, manual loss, material loss and the like; constructing an fitness function by taking production regulation and control information of the related procedure as a response target, wherein the fitness value of the fitness function is represented by regulation and control loss, and the larger the regulation and control loss is, the smaller the fitness is; the smaller the regulation loss, the greater the fitness.
Determining process production regulation and control information corresponding to each group of related processes, and then carrying out parameter fusion and allocation analysis on the related processes, wherein the parameter fusion and allocation analysis refers to determining a plurality of parameter regulation schemes of the related processes, for example: the process production regulation and control information corresponding to a plurality of processes can be used as an amplitude modulation, and the previous single process production regulation and control information is combined and modulated to obtain a parameter modulation scheme; and then carrying out adaptability calculation on the multiple parameter adjusting schemes in sequence according to the adaptability function, taking the parameter adjusting scheme with the largest adaptability value in the multiple parameter adjusting schemes as an optimal parameter adjusting scheme, and taking process production regulation and control information of the optimal parameter adjusting scheme as overall parameter adjusting data.
The overall parameter adjustment data with the lowest adjustment loss is obtained through parameter melting and allocation analysis of the related procedures aiming at reducing the adjustment loss, so that the resource loss can be reduced and the production cost can be reduced under the condition of meeting the production quality requirement.
In one embodiment, a titanium belt production control system incorporating application requirements is provided as shown in FIG. 3, comprising:
the application performance requirement determining module is used for reading application scenes of batch worksheets and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards;
the cascade production network determining module is used for acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association;
the process supervision data acquisition module is used for carrying out process supervision by process by taking the cascade production network as a reference and combining with the sensing monitoring module to acquire process supervision data;
the association influence analysis module is used for transferring the process supervision data flow to the self-adaptive evaluation and control module, performing process quality evaluation and subsequent process association influence analysis, and determining production regulation and control information, wherein the sensing monitoring module is connected with the self-adaptive evaluation and control module through a channel;
the production tuning module of the lower process is used for feeding back the production control information to the production line numerical control equipment to perform production tuning of the lower process if the production control information is non-empty and belongs to the lower process;
the regulation and control correction module is used for carrying out common-frequency supervision regulation and control and process correction analysis on the titanium belt production process by process until the process production based on the cascade production network is completed;
and the cascade production network calibration module is used for summarizing the production regulation and control information and carrying out procedure parameter fusion processing, determining overall parameter regulation data to calibrate the cascade production network and executing subsequent titanium strip production control.
In one embodiment, the system further comprises:
the performance-related procedure determining module is used for traversing the application performance requirements, respectively carrying out correlation analysis of the production procedures and determining performance-related procedures, wherein the performance-related procedures have one-to-many relation between each application performance requirement and the production procedures;
the procedure association layer building module is used for building a procedure association layer based on the performance association procedure;
the parameter control association layer establishing module is used for traversing the performance association procedure, determining procedure parameter control information and establishing a parameter control association layer;
the reference layer building module is used for building a reference layer based on the target production process and the application performance requirement;
and the cascade production network generation module is used for carrying out hierarchical mapping association on the reference layer, the process association layer and the parameter control association layer to generate the cascade production network.
In one embodiment, the system further comprises:
the process parameter control information generation module is used for traversing the performance related process, determining process control parameters and carrying out the identification of the mapping production line numerical control equipment to generate the process parameter control information;
the process association parameter control determining module is used for carrying out peer association of the process parameter control information and inter-stage association of the associated process and determining process association parameter control;
the parameter control associated layer building module is used for building the parameter control associated layer based on the procedure associated parameter control.
In one embodiment, the system further comprises:
the self-adaptive evaluation and control module comprises a front-back connected process quality inspection module and a calibration analysis module, and the calibration analysis module is embedded with the cascade production network;
the quality off-axis information determining module is used for transferring the process supervision data flow to the process quality inspection module, performing parameter control precision evaluation and parameter control effect evaluation, and determining quality off-axis information, wherein the quality off-axis information is marked with a process quality coefficient;
and the blank resetting module is used for outputting the quality off-axis information and carrying out blank resetting on the production regulation and control information if the quality coefficient of the working procedure does not meet the threshold value standard.
In one embodiment, the system further comprises:
the parameter control wide tolerance interval configuration module is used for configuring a parameter control wide tolerance interval based on a parameter control precision standard;
the process quality coefficient determining module is used for taking the parameter control tolerance interval as a judging basis, measuring the parameter control deviation degree, carrying out weighting summation and determining the process quality coefficient;
the standard dimension index matrix determining module is used for determining a standard dimension index matrix by taking surface quality, mechanical characteristics and multi-element tolerance as quality evaluation dimensions;
and the quality off-axis information determining module is used for identifying the process parameter control effect, mapping the standard dimension index matrix and locking the process association index, and determining the quality off-axis information by index differentiation measurement.
In one embodiment, the system further comprises:
the quality off-axis information circulation module is used for activating the calibration analysis module and circulating the quality off-axis information to the calibration analysis module if the process quality coefficient meets a threshold value standard;
a back-end production impact determination module for locking a back-end association procedure in conjunction with the cascade production network, determining a back-end production impact based on the quality off-axis information;
the associated process correction information determining module is used for determining associated process correction information based on the later production influence;
and the production regulation information generation module is used for integrating the related process correction information to generate the production regulation information.
In one embodiment, the system further comprises:
the process production regulation information accumulation module is used for accumulating the process production regulation information of each production process based on the production regulation information;
the fitness function building module is used for building a fitness function by taking the regulation loss as a constraint and the production regulation information of the related procedure as a response target;
and the overall adjustment parameter data determining module is used for determining process production control information corresponding to each group of related processes, carrying out parameter fusion and allocation analysis of the related processes in combination with the fitness function, and determining overall adjustment parameter data based on an optimal adjustment scheme.
In summary, compared with the prior art, the embodiments of the present disclosure have the following technical effects:
(1) The technical problem that the production quality of the titanium belt is low due to low equipment control precision and accuracy in the conventional titanium belt production method can be solved, and the precision and accuracy of equipment control in the titanium belt production process can be improved by constructing a cascade production network and generating production regulation and control information according to the cascade production network to optimize and adjust the subsequent related procedures, so that the production quality of the titanium belt is improved.
(2) The control analysis accuracy of the numerical control equipment of the production line can be improved by splitting the titanium belt layer by layer according to the production process and carrying out hierarchical association and peer association analysis and then constructing a cascade production network according to the association analysis result, so that the control accuracy of the numerical control equipment is improved.
(3) The control parameters of the numerical control equipment in the production process of the titanium belt can be optimized and adjusted in time by generating production regulation and control information, and the precision of the production control of the titanium belt and the adjustment efficiency are improved.
The above examples merely represent a few embodiments of the present disclosure and are not to be construed as limiting the scope of the application. Accordingly, various alterations, modifications and variations may be made by those having ordinary skill in the art without departing from the scope of the disclosed concept as defined by the following claims and all such alterations, modifications and variations are intended to be included within the scope of the present disclosure.
Claims (8)
1. The titanium belt production control method combining application requirements is characterized by comprising the following steps:
reading application scenes of batch worksheets, and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards;
acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association;
taking the cascade production network as a reference, combining with a sensing monitoring module, carrying out production supervision step by step, and obtaining process supervision data;
the process supervision data flow is transferred to an adaptive evaluation and control module, process quality evaluation and subsequent process association influence analysis are carried out, and production regulation and control information is determined, wherein the sensing monitoring module is connected with the adaptive evaluation and control module through a channel;
if the production regulation information is non-empty and belongs to the lower working procedure, feeding the production regulation information back to the production line numerical control equipment to carry out production regulation of the lower working procedure;
performing same-frequency supervision regulation and control of titanium belt production and process correction analysis step by step until process production based on the cascade production network is completed;
summarizing the production regulation and control information, performing procedure parameter fusion processing, determining overall parameter regulation data, calibrating the cascade production network, and executing subsequent titanium belt production control.
2. The method of claim 1, wherein the determining a cascading production network comprises:
traversing the application performance requirements, respectively carrying out correlation analysis of production procedures, and determining performance related procedures, wherein the performance related procedures have one-to-many relation between each application performance requirement and the production procedures;
building a procedure association layer based on the performance association procedure;
traversing the performance association procedure, determining procedure parameter control information, and establishing a parameter control association layer;
building a reference layer based on the target production process and the application performance requirement;
and carrying out hierarchical mapping association on the reference layer, the process association layer and the parameter control association layer to generate the cascade production network.
3. The method of claim 2, wherein traversing the performance-related process, determining process control information, and establishing a control-related layer, the method comprises:
traversing the performance association procedure, determining procedure control parameters, and carrying out mapping production line numerical control equipment identification to generate procedure parameter control information;
performing peer association of the process parameter control information and inter-stage association of the associated process, and determining process associated parameter control;
and building the parameter control correlation layer based on the procedure correlation parameter control.
4. The method of claim 1, wherein the performing a process quality assessment and a subsequent process association impact analysis comprises:
the self-adaptive evaluation and control module comprises a process quality inspection module and a calibration analysis module which are connected in front-back mode, and the cascade production network is embedded in the calibration analysis module;
the process supervision data flow is transferred to the process quality inspection module, parameter control precision evaluation and parameter control effect evaluation are carried out, quality off-axis information is determined, and the quality off-axis information identifies a process quality coefficient;
and if the process quality coefficient does not meet a threshold value standard, outputting the quality off-axis information, and performing blank resetting on the production regulation and control information.
5. The method of claim 4, wherein the performing a parametric accuracy assessment and a parametric effect assessment comprises:
configuring a parameter control tolerance interval based on a parameter control precision standard;
taking the parameter control tolerance interval as a judgment basis, measuring parameter control deviation degree, carrying out weighting summation, and determining the process quality coefficient;
taking surface quality, mechanical characteristics and multi-element tolerance as quality evaluation dimensions, and determining a standard dimension index matrix;
and identifying a process parameter control effect, mapping the standard dimension index matrix and locking process association indexes, and carrying out index differentiation measurement to determine the quality off-axis information.
6. The method of claim 4, wherein the method comprises:
if the process quality coefficient meets a threshold value standard, activating the calibration analysis module, and transferring the quality off-axis information flow to the calibration analysis module;
determining a back-end production impact based on the quality off-axis information in combination with the cascading production network lock back-end association procedure;
determining associated process correction information based on the subsequent production impact;
and integrating the related procedure correction information to generate the production regulation information.
7. The method of claim 1, wherein aggregating the production control information and performing a process fusion process comprises:
accumulating process production regulation information of each production process based on the production regulation information;
constructing an fitness function by taking the regulation loss as a constraint and the production regulation information of the related procedure as a response target;
and determining process production regulation and control information corresponding to each group of related processes, carrying out parameter fusion and allocation analysis of the related processes by combining the fitness function, and determining the overall parameter regulation and control data based on the optimal parameter regulation scheme.
8. A titanium strip production control system incorporating application requirements, characterized by the steps for performing any one of the titanium strip production control methods incorporating application requirements as set forth in claims 1-7, the system comprising:
the application performance requirement determining module is used for reading application scenes of batch worksheets and determining application performance requirements, wherein the application performance requirements comprise basic performance standards and flexible performance standards;
the cascade production network determining module is used for acquiring a target production process, performing hierarchical progressive analysis of process association and parameter control association aiming at the application performance requirement, and determining a cascade production network, wherein the cascade production network has hierarchical mapping association;
the process supervision data acquisition module is used for carrying out process supervision by process by taking the cascade production network as a reference and combining with the sensing monitoring module to acquire process supervision data;
the association influence analysis module is used for transferring the process supervision data flow to the self-adaptive evaluation and control module, performing process quality evaluation and subsequent process association influence analysis, and determining production regulation and control information, wherein the sensing monitoring module is connected with the self-adaptive evaluation and control module through a channel;
the production tuning module of the lower process is used for feeding back the production control information to the production line numerical control equipment to perform production tuning of the lower process if the production control information is non-empty and belongs to the lower process;
the regulation and control correction module is used for carrying out common-frequency supervision regulation and control and process correction analysis on the titanium belt production process by process until the process production based on the cascade production network is completed;
and the cascade production network calibration module is used for summarizing the production regulation and control information and carrying out procedure parameter fusion processing, determining overall parameter regulation data to calibrate the cascade production network and executing subsequent titanium strip production control.
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