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CN-121979091-A - Digital twin control method and system for core taking of special optical component

CN121979091ACN 121979091 ACN121979091 ACN 121979091ACN-121979091-A

Abstract

The application relates to the technical field of process control, and discloses a digital twin control method and a digital twin control system for core taking of special optical components. The method comprises the steps of constructing a digital twin model through a multi-source sensor and determining a machining geometric standard, identifying distortion characteristics and analyzing residual stress distribution to generate a classification mark, optimizing a machining path based on distortion causes by adopting a dynamic simulation prediction technology to form an adjustment scheme, quantifying parameter weights and adjusting stress release regulation parameters to generate an optimized execution scheme, tracking dynamic evolution of machining, analyzing attenuation trend of the distortion causes to obtain geometric residual error distribution, adjusting clamping parameters and updating the model if errors do not reach standards, determining a final control strategy, executing the strategy and integrating multi-source data to output a final machining control result.

Inventors

  • WU FUYUN
  • CHEN HONGRU
  • YE JIMING

Assignees

  • 信阳市图展光电有限公司

Dates

Publication Date
20260505
Application Date
20260120

Claims (10)

  1. 1. A digital twin control method for special optical component coring, the method comprising: s1, collecting geometric shape data of a surface to be processed of a special optical component through a multi-source sensor, constructing a digital twin model of the special optical component, and determining a core taking processing geometric reference; s2, identifying distortion characteristics in the machining process according to the core taking machining geometric standard, analyzing residual stress distribution in the core taking process by fusing environment data, and generating distortion characteristic classification marks; s3, identifying distortion causes according to the distortion characteristic classification marks, predicting a core taking processing path by adopting a dynamic simulation prediction technology, dynamically adjusting the core taking processing path by fusing working condition dynamic data, and determining a core taking process path adjustment scheme; S4, quantifying the influence weight of each core taking parameter on the core taking precision according to the core taking process path adjustment scheme, adjusting the stress release regulation parameters, judging whether the adjusted core taking precision exceeds a preset range, and if so, generating an optimized core taking execution scheme; s5, tracking a dynamic evolution record of a machining process according to the core taking execution scheme, and analyzing a real-time attenuation trend of a multi-source distortion cause to obtain a geometrical residual error distribution after machining; Step S6, if the geometric residual error distribution does not reach the preset precision standard, adjusting the assembling and clamping inclination compensation parameters, updating the digital twin model, and determining a final core taking control strategy; And S7, acquiring real-time evolution record data in the core taking process according to a final core taking control strategy, integrating stress release regulation and control effects and working condition dynamic data, and outputting a final core taking processing control result.
  2. 2. The digital twin control method for special optical component coring according to claim 1, wherein step S1 comprises: the method comprises the steps of collecting geometric shape data, core picking tool working condition data and clamping positioning data of a surface to be processed of a special optical component through a multi-source sensor, integrating the geometric shape data, the core picking tool working condition data and the clamping positioning data to form complete core picking physical state data, constructing a digital twin model of the special optical component by adopting a virtual modeling mapping technology based on the core picking physical state data, realizing real-time synchronization of the collected data and the model state, comparing the synchronized digital twin model with a preset design target model, and determining a core picking processing geometric standard.
  3. 3. The digital twin control method for special optical component coring according to claim 1, wherein step S2 comprises: Generating a preliminary phase distribution reference diagram according to the core processing geometric reference, scanning the phase distribution reference diagram by using a phase gradient calculation method, calculating the phase change rate of each pixel point, defining the corresponding pixel point as a distortion characteristic if the phase change rate exceeds a preset threshold value, and generating a distortion key region; And collecting environment data in the core taking process, fusing distortion key region information with the environment data, performing stress tensor calculation on the fused data to obtain a stress heat map of a residual stress distribution state, establishing a mapping relation between the distortion characteristics and distortion causes according to the stress heat map, dividing the distortion characteristics into various categories according to the mapping relation, distributing identification codes for each category of distortion characteristics, and generating distortion characteristic classification identifications representing the distortion characteristics and the causes.
  4. 4. The digital twin control method for special optical component coring according to claim 1, wherein step S3 comprises: Identifying a distortion cause based on the distortion characteristic classification mark, judging whether a dominant influencing factor of the core processing state is the coupling effect of residual stress and clamping inclination based on the distortion cause, and if so, triggering a dynamic simulation prediction flow; Collecting working condition dynamic data in the core taking process in real time, fusing the working condition dynamic data into the simulation process, adjusting the weight of various parameters in the simulation process through a data calibration algorithm, correcting the simulation result of the core taking path, comparing the corrected simulation path with a preset core taking path reference, calculating a path deviation value, and generating a core taking process path adjustment scheme if the path deviation value exceeds a preset threshold value.
  5. 5. The digital twin control method for special optical component coring according to claim 1, wherein step S4 comprises: extracting core taking parameters related to core taking processing precision from the core taking process path adjustment scheme, calculating the influence weight of each core taking parameter on the core taking precision by adopting a weighted regression algorithm in combination with real-time working condition data in the core taking process, and generating a parameter influence weight map; Inputting the parameter influence weight map into a closed-loop feedback control mechanism, adopting a proportional-integral-derivative control algorithm, dynamically adjusting stress release regulation parameters based on real-time deviation of core taking precision, synchronously collecting adjusted stress distribution data and core taking precision data, and feeding back to the control algorithm for iterative correction; Comparing the core taking precision data monitored in real time with a preset threshold value, judging whether the core taking precision exceeds an allowable range, if the core taking precision exceeds the preset range, fusing the real-time working condition data and the precision deviation data, optimizing and correcting the core taking process path adjustment scheme, and finally generating an optimized core taking execution scheme capable of being directly executed.
  6. 6. The digital twin control method for special optical component coring according to claim 5, wherein dynamically adjusting stress release control parameters based on real-time deviation of coring accuracy comprises: the real-time deviation of the core taking precision comprises a size deviation component and a phase deviation component, the difference value between the two types of deviation components and a preset threshold value is calculated respectively, the deviation priority is determined, the corresponding stress release regulation and control parameter adjustment strategy is matched according to the deviation priority, and the adjustment quantity of the output stress release regulation and control parameter is calculated through a proportional-integral-derivative control algorithm.
  7. 7. The digital twin control method for special optical component coring according to claim 1, wherein step S5 comprises: Performing core extraction processing based on the optimized core extraction execution scheme, and synchronously collecting time-series data of the whole core extraction process, wherein the time-series data comprises phase distribution data, clamping gesture data, cutting force data and environmental parameter data, extracting characteristic data corresponding to multi-source distortion factors from the time-series data, calculating attenuation rate of each distortion factor, and generating a multi-source distortion attenuation trend curve; And according to the core processing geometric standard, calculating the difference value between the actual phase value and the reference phase value at each moment by combining the phase distribution data in the time sequence data, and generating the processed geometric residual error distribution.
  8. 8. The digital twin control method for special optical component coring according to claim 1, wherein step S6 comprises: positioning an area which does not reach the standard and a corresponding dominant error source based on geometric residual error distribution, and adapting and optimizing clamping posture parameters by combining a multi-source distortion attenuation trend curve, wherein the clamping posture parameters comprise clamping angle compensation values and clamping force distribution parameters; Inputting the optimized clamping posture parameters into a digital twin model, updating the model, carrying out core taking process simulation verification based on the updated digital twin model until the core taking residual errors reach the standard, integrating the optimized clamping parameters, the core taking execution scheme and the model calibration parameters, and determining a final core taking control strategy.
  9. 9. The digital twin control method for special optical component coring according to claim 1, wherein step S7 comprises: executing core taking processing according to a final core taking control strategy, and synchronously obtaining real-time evolution record data of a core taking process, wherein the real-time evolution record data comprises phase distribution time sequence data, clamping gesture dynamic data and core taking size real-time monitoring data; And collecting stress release regulation effect data and working condition dynamic data, carrying out weighted integration on the real-time evolution record data, the stress release regulation effect data and the working condition dynamic data by adopting a Kalman filtering fusion algorithm, calculating a combined influence factor of multi-source data on the core taking precision, verifying whether the core taking precision is preset as a reference, and outputting a final core taking processing control result of the special optical component if the core taking precision reaches the standard.
  10. 10. A digital twin control system for specialty optical component coring, for implementing a digital twin control method for specialty optical component coring as set forth in any one of claims 1-9, said system comprising: The construction module is used for acquiring geometric shape data of a surface to be processed of the special optical component through the multi-source sensor, constructing a digital twin model of the special optical component, and determining a core taking processing geometric reference; The classification module is used for identifying distortion characteristics in the machining process according to the core taking machining geometric standard, analyzing residual stress distribution in the core taking process by fusing environmental data, and generating distortion characteristic classification marks; The adjusting module is used for identifying the distortion cause according to the distortion characteristic classification mark, predicting a core taking processing path by adopting a dynamic simulation prediction technology, dynamically adjusting the core taking processing path by fusing working condition dynamic data, and determining a core taking process path adjusting scheme; the optimization module is used for quantifying the influence weight of each core taking parameter on the core taking precision according to the core taking process path adjustment scheme, adjusting the stress release regulation parameters, judging whether the adjusted core taking precision exceeds a preset range, and generating an optimized core taking execution scheme if the adjusted core taking precision exceeds the preset range; the analysis module is used for tracking the dynamic evolution record of the processing process according to the core taking execution scheme, analyzing the real-time attenuation trend of the multi-source distortion cause and obtaining the geometrical residual error distribution after processing; The updating module is used for adjusting the assembling and clamping inclination compensation parameters if the geometric residual error distribution does not reach the preset precision standard, updating the digital twin model and determining a final core taking control strategy; And the output module is used for acquiring real-time evolution record data in the core taking process according to a final core taking control strategy, integrating stress release regulation and control effects and working condition dynamic data and outputting a final core taking processing control result.

Description

Digital twin control method and system for core taking of special optical component Technical Field The application relates to the technical field of process control, in particular to a digital twin control method and a digital twin control system for core taking of special optical components. Background The special optical component is a core component of a high-end optical system, such as a photoetching machine, aerospace remote sensing equipment and a high-precision interferometer, and the core processing precision directly determines the imaging quality and the working stability of the optical system. However, in the core taking processing process, uncontrollable distortion of components is easily caused due to the coupling effect of residual stress release, clamping inclination, environmental temperature and humidity fluctuation, film thickness non-uniformity and the like, and the processing precision is seriously affected. The existing core-taking processing control method mainly adopts parameter presetting or single sensor feedback regulation based on experience, and has three core pain points, namely firstly, the coupling relation of multiple source distortion causes is difficult to accurately identify, so that the regulation strategy lacks pertinence, secondly, the processing process and the virtual simulation are disjointed, the processing path deviation cannot be predicted in advance, repeated trial and error regulation is needed, the production efficiency is reduced, thirdly, the dynamic evolution of key parameters such as residual stress, clamping posture and the like is not tracked in real time, the residual error is difficult to accurately control, the nanoscale precision requirement of high-end optical components is difficult to meet, the digital twin technology provides new possibility for the process control of virtual-actual fusion, but the current application of the digital twin technology in the core-taking processing of the optical components is still in the primary stage, and a full-link closed-loop control scheme of 'data acquisition-simulation prediction-dynamic regulation-precision verification' is not formed, so that the high-precision control problem under the coupling of multiple source distortion can not be effectively solved. Therefore, a core taking processing control method fused with a digital twin technology is developed, multi-factor cooperative regulation and control and precision guarantee are realized, and the urgent need of the special optical manufacturing field is met. Disclosure of Invention In order to solve the technical problems, the application provides a digital twin control method and a digital twin control system for core taking of special optical components, which are used for realizing accurate prediction and real-time regulation of the core taking processing process of the special optical components and effectively improving the precision, stability and yield of the core taking processing. In a first aspect, the present application provides a digital twin control method for special optical component coring, the method comprising: s1, collecting geometric shape data of a surface to be processed of a special optical component through a multi-source sensor, constructing a digital twin model of the special optical component, and determining a core taking processing geometric reference; s2, identifying distortion characteristics in the machining process according to the core taking machining geometric standard, analyzing residual stress distribution in the core taking process by fusing environment data, and generating distortion characteristic classification marks; s3, identifying distortion causes according to the distortion characteristic classification marks, predicting a core taking processing path by adopting a dynamic simulation prediction technology, dynamically adjusting the core taking processing path by fusing working condition dynamic data, and determining a core taking process path adjustment scheme; S4, quantifying the influence weight of each core taking parameter on the core taking precision according to the core taking process path adjustment scheme, adjusting the stress release regulation parameters, judging whether the adjusted core taking precision exceeds a preset range, and if so, generating an optimized core taking execution scheme; s5, tracking a dynamic evolution record of a machining process according to the core taking execution scheme, and analyzing a real-time attenuation trend of a multi-source distortion cause to obtain a geometrical residual error distribution after machining; Step S6, if the geometric residual error distribution does not reach the preset precision standard, adjusting the assembling and clamping inclination compensation parameters, updating the digital twin model, and determining a final core taking control strategy; And S7, acquiring real-time evolution record data in the core taking process according to a final