CN113275771A - Real-time monitoring method for space on-orbit laser machining process based on digital twinning - Google Patents
Real-time monitoring method for space on-orbit laser machining process based on digital twinning Download PDFInfo
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- CN113275771A CN113275771A CN202110554562.0A CN202110554562A CN113275771A CN 113275771 A CN113275771 A CN 113275771A CN 202110554562 A CN202110554562 A CN 202110554562A CN 113275771 A CN113275771 A CN 113275771A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/70—Auxiliary operations or equipment
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Abstract
The invention discloses a real-time monitoring method for a space on-orbit laser machining process based on digital twins. The method comprises the following steps: establishing a space on-orbit spacecraft digital twin, a laser processing factory digital twin, a material-structure digital twin, a microstructure digital twin and a process defect digital twin. When the laser processing technology is carried out in a space on-orbit spacecraft, a real-time processing process can be obtained in a digital twinning system, and the macroscopic property and the microscopic property of the structure in the technology can be monitored by combining a material-structure digital twinning body, a microstructure digital twinning body and a technology defect digital twinning body. The method can lead the working personnel to prejudge the space on-orbit laser processing quality and the service performance.
Description
Technical Field
The invention relates to the field of space on-orbit laser processing, in particular to a real-time monitoring method of a space on-orbit laser processing process based on digital twins.
Background
With the proposal of 'industry 4.0', the manufacturing intellectualization gradually bans part of the traditional industry, and the Chinese manufacturing industry can be rapidly and stably pushed forward. Moreover, the rise of laser manufacturing industry is a line pushing the manufacturing industry of China to high-speed development. The twin of figures was proposed in 2011 and has been involved in various fields such as product design, product manufacturing, medical analysis, engineering construction and the like through more than ten years of development. Any manufacturing process cannot observe the inside of the manufacturing process in real time during a manufacturing test, namely the current manufacturing process is divided into two aspects, namely a single test on one hand and a single simulation on the other hand, so that the online evaluation of the manufacturing process cannot be achieved.
The digital twinning is combined with the laser processing technology to have huge development prospect and advantages, and the whole laser processing process can be mapped through the digital twinning, so that the whole laser processing process can be comprehensively and integrally observed and analyzed, and the laser processing process can be monitored. With the exploration of space by human beings, equipment such as space stations, spacecrafts, satellites and the like becomes more and more important. Therefore, how to realize space on-track manufacturing and space on-track monitoring has an important influence on money cost, time cost and the like. At present, an intelligent method capable of monitoring the space on-orbit laser processing process in real time is urgently needed, so that the space on-orbit laser processing process can be comprehensively and comprehensively monitored.
Therefore, the invention discloses a real-time monitoring method for a space on-orbit laser processing process based on digital twins, which can effectively ensure the monitoring of the space on-orbit laser processing process and can help engineers to perform laser processing process operation in space. Moreover, the process quality evaluation can be carried out on the laser processing process by carrying out post-processing analysis on the digital twin, and a priority scheme is provided for future process tests through machine learning.
Disclosure of Invention
The invention aims to provide a real-time monitoring method for a space on-orbit laser processing process based on digital twins, which realizes the comprehensive monitoring of the space on-orbit laser processing process, can evaluate the process through machine learning, and can realize the strategy improvement of the process test and provide an optimization scheme for future processes.
A real-time monitoring method for a space on-orbit laser processing process based on digital twins comprises a space on-orbit spacecraft digital twins, a laser processing factory digital twins, a workpiece digital twins, a metal grain digital twins and a process defect digital twins; crystal grain identification module, defect identification system module, terminal database, machine learning library and process expert system.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a real-time monitoring method for a space on-orbit laser processing process based on digital twinning is characterized by comprising the following steps: the space on-orbit laser machining process digital twin model, the real-time monitoring method based on the digital twin and the quality evaluation and strategy improvement method based on the digital twin;
the space on-orbit laser processing process digital twin model comprises a spacecraft entity and operation data thereof, a spacecraft virtual model and operation data thereof, a laser processing factory entity and operation data thereof, a laser processing factory virtual model and operation data thereof, a workpiece entity and a workpiece virtual model;
the spacecraft entity, the laser processing factory and the workpiece entity form a space on-orbit laser processing technology in the real world and are also physical monitoring objects of the monitoring method;
the spacecraft virtual model, the laser processing factory virtual model and the workpiece virtual model form a space on-orbit laser processing technology in a digital twin world, and are also virtual monitoring objects of the monitoring method;
the operation data of the spacecraft virtual model and the operation data of the laser processing factory virtual model are both provided by the operation data of corresponding entities;
the monitoring method based on the digital twin is carried out in a real-time monitoring system consisting of a crystal grain identification system module and a defect identification system module;
the real-time monitoring system comprises a real-time monitoring function and a real-time alarming function; the real-time monitoring function comprises monitoring of laser processing in macroscopic and microscopic scales, wherein the macroscopic scale comprises a processing process, surface defects, workpiece deformation and the like, and the microscopic scale comprises a grain type, grain growth, a microscopic defect type, microscopic defect growth and the like; the alarm function comprises a laser processing technology error alarm in the real world, a laser processing technology calculation unconvergence error alarm in the digital twin world, a laser processing technology defect generation alarm in the digital twin world, a laser processing technology defect oversize alarm in the digital twin world and the like;
the quality evaluation and strategy improvement method based on the digital twinning comprises the steps of evaluating the quality of a laser processing technology and improving the processing technology strategy; through the cooperative cooperation of a terminal database, a machine learning library and a process expert system, the laser processing process quality evaluation can be comprehensively evaluated by a process parameter evaluation standard, a grain structure evaluation standard, a process defect evaluation standard and other standard libraries, and finally the laser processing process quality grade is given; the processing technology strategy improvement can provide a technology strategy improvement scheme of the technology test by combining a machine learning library and a technology expert system through a technology parameter judgment standard, a grain structure judgment standard, a technology defect judgment standard and other standard libraries.
In the above technical solution, the method for monitoring the space on-orbit laser processing process in real time based on the digital twin includes the following steps:
the method comprises the following steps: determining a spacecraft environment in a spatial environment in the real world; analyzing the space environment of a part of key structures in the spacecraft according to the real-time space physical environment of the spacecraft, wherein the space environment comprises gravity, gas, running speed and the like, and establishing a spacecraft entity;
step two: determining a laser processing technology needing to be monitored in the real world; rationalizing, standardizing and parameterizing the operation steps of the machining process according to the basic requirements and the machining requirements of the laser machining process, analyzing procedures and procedure logical relations contained in the machining process, and establishing a laser machining factory entity;
step three: determining a workpiece to be machined in the real world; according to the geometric shape parameters and the performance parameters of the workpiece, performing to-be-processed analysis on the workpiece, including the geometric parameters and the physical performance parameters of the workpiece, and establishing a workpiece entity;
step four: combining the physical entities established in the first step, the second step and the third step to determine the corresponding digital twins; carrying out standardized modeling on a solid body, carrying out model inspection and model correction, loading a heat source and boundary conditions, and finishing model checking;
step five: the physical entity and the digital twin body are in parallel connection and intercommunication; the method comprises the following steps of performing signal analysis and transmission on physical entity operation data through a sensor, loading in a digital twin body, performing digital twin body environment reconstruction, acquiring operation data of the digital twin body, uploading the data in real time, and performing real-time verification to perform real-time correction;
step six: carrying out a space on-orbit laser processing process test to complete space on-orbit laser processing digital twin virtual processing; the method comprises the steps of completing relevant steps of a laser processing test in the real world, completing relevant steps of the laser processing test in the digital twin world, and uploading obtained data to a terminal database;
step seven: obtaining quality assessment and strategy improvement based on digital twinning; and calling process parameter data, process data and result data in a terminal database, and automatically giving quality evaluation and strategy improvement by combining a relevant process standard library and a machine learning library and applying a machine learning and process expert system.
The invention has the advantages and positive effects that:
the space on-orbit laser processing process monitoring method based on the digital twin can monitor the space on-orbit laser processing technological process in the real physical world in real time, can be displayed in a corresponding platform, and can monitor the macro and micro scales of the real-time processing process. Moreover, the process quality assessment and strategy improvement can be given based on the data of the digital twin body.
Drawings
In order to more clearly express the method of the present invention, the drawings of the method of the present invention will be described below.
FIG. 1 is an overall schematic diagram of a real-time monitoring method of a space on-orbit laser processing process based on digital twins.
FIG. 2 is a method for monitoring the operation steps of a real-time space on-orbit laser processing process based on digital twinning.
Fig. 3 is a command execution chain of a digital twin-based real-time monitoring method of the space-on-orbit laser machining process.
FIG. 4 is a data structure chain of a real-time monitoring method of a space on-orbit laser processing process based on digital twinning.
Detailed Description
The method of the present invention will be further described with reference to the following figures and examples, which are not intended to limit the scope of the present invention, but are merely exemplary.
Please refer to fig. 1 to fig. 4. The invention discloses a real-time monitoring method for a space on-orbit laser processing process based on digital twinning. The processing factory comprises three physical entities in the real world, namely a workpiece entity, a spacecraft entity and a laser processing factory entity, and mainly provides operation data of the current entity. The interactive end mainly comprises a terminal database, a machine learning library, a process expert system and a visual terminal, and is mainly used for finishing data storage, processing and data visualization. The digital twin client comprises a real-time monitoring system and each digital twin body.
The whole system data is called, stored and the like by the central processing unit, and the data is uploaded to the terminal database for storage through the sensor. And updating the priority parameter data corresponding to the current entity through the judgment of the machine learning library and the process expert system, and selecting in a visual terminal. And after the selection is given, executing a command, automatically distributing the command to each digital twin body and each physical entity by the processor, and automatically adjusting the real-time monitoring system and the physical sensor.
With reference to fig. 1 to 4, the working principle of the method of the present invention is as follows:
and (4) carrying out operations of steps S1-S7 on an operation end in the visualization terminal in sequence, and thus, monitoring the physical entity and the digital twin. S1: analyzing the space environment of a part of key structures in the spacecraft according to the real-time space physical environment of the spacecraft, wherein the space environment comprises gravity, gas, running speed and the like, and establishing a spacecraft entity; s2: rationalizing, standardizing and parameterizing the operation steps of the machining process according to the basic requirements and the machining requirements of the laser machining process, analyzing procedures and procedure logical relations contained in the machining process, and establishing a laser machining factory entity; s3: according to the geometric shape parameters and the performance parameters of the workpiece, performing to-be-processed analysis on the workpiece, including the geometric parameters and the physical performance parameters of the workpiece, and establishing a workpiece entity; s4: carrying out standardized modeling according to a physical entity, establishing a corresponding digital twin body, carrying out model inspection and model correction, loading a heat source and boundary conditions, and finishing model checking; s5: the method comprises the following steps of performing signal analysis and transmission on physical entity operation data through a sensor, loading in a digital twin body, performing digital twin body environment reconstruction, acquiring operation data of the digital twin body, uploading the data in real time, and performing real-time verification to perform real-time correction; s6: the method comprises the steps of completing relevant steps of a laser processing test in the real world, completing relevant steps of the laser processing test in the digital twin world, and uploading obtained data to a terminal database; s7: and calling process parameter data, process data and result data in a terminal database, and automatically giving quality evaluation and strategy improvement by combining a relevant process standard library and a machine learning library and applying a machine learning and process expert system.
In the process of space on-orbit laser processing, the central processing unit can automatically call the data and functions of a terminal database, a machine learning library and a process expert system, automatically control a real-time monitoring system and a physical sensor, monitor a physical entity and a digital twin and give an alarm for errors of the physical entity and the digital twin.
After the space on-orbit laser processing is finished, the data post-processing step is continuously carried out on the operation end in the visual terminal, and post-processing analysis can be carried out on the space on-orbit laser processing process. Opening a space on-orbit laser processing process to be checked and then processing a target file; and selecting corresponding macro-scale and micro-scale post-processing modules according to post-processing requirements, and extracting relevant data.
Those skilled in the art will recognize that the above-described preferred embodiments are illustrative only, and are not limiting to the invention in any way, as simple changes, modifications, and improvements of the above-described embodiments are intended to fall within the scope of the appended claims, as long as they fall within the true spirit and scope of the present invention.
Claims (6)
1. A real-time monitoring method for a space on-orbit laser processing process based on digital twinning is characterized by comprising the following steps: establishing a space in-orbit spacecraft digital twin body according to the service environment of an actual spacecraft, establishing a laser processing factory digital twin body according to the actual condition of a laser processing factory, establishing a material-structure digital twin body according to material parameters and the size of a structure model, establishing a microstructure digital twin body according to the growth mechanism of a microstructure, establishing a process defect digital twin body according to the type and the characteristics of process defects, establishing a microstructure identification system module according to the microstructure model, establishing a defect identification system module according to defect judgment standards, and establishing a terminal database, a machine learning library and a process expert system;
the space on-orbit spacecraft digital twin body comprises the type and structure of a spacecraft, the size of a 1: 1 model, the internal gas environment of the spacecraft, the external space gas environment of the spacecraft and the internal gravity display of the spacecraft;
the digital twin body of the laser processing factory comprises factory temperature, humidity, pressure, a laser processing equipment model, a laser processing process model and relevant process parameters;
the material-structure digital twin body comprises a structure model, a material, material high-temperature and low-temperature physical property parameters and material mechanical property parameters;
the microstructure digital twin body comprises a crystal nucleus generating mechanism, a crystal grain growth mechanism and a crystal grain growth synergistic mechanism;
the process defect digital twin comprises defect types, a defect generation mechanism, a defect growth mechanism and a defect coordination mechanism;
determining the digital twin body of the space in-orbit laser processing process according to the interaction mechanism among the space in-orbit spacecraft digital twin body, the laser processing factory digital twin body, the material-structure digital twin body, the microstructure digital twin body and the process defect digital twin body, and finishing the real-time monitoring of the laser processing process;
the microstructure identification system module comprises a grain type, a grain growth and stop growth judgment standard and a grain refinement strategy;
the defect identification system module comprises evaluation criteria of macro-scale and micro-scale defects, and improvement or elimination strategies;
according to the synergistic effect of the crystal grain identification system module and the defect identification module, the real-time monitoring of the space on-orbit laser processing process can be realized, and the real-time monitoring comprises macro and micro scales, wherein the macro scale comprises macro morphology, deformation, surface defects and the like; the micro-scale comprises the types, growth directions, growth speeds, grain sizes, micro defects and the like of grains.
2. The real-time monitoring method for the space on-orbit laser machining process based on the digital twin as claimed in claim 1, wherein the real-time monitoring method comprises the following steps: the method comprises the steps of obtaining real-time operation data, internal space environment data and external space environment data of the in-orbit spacecraft, and loading the data to a spacecraft digital twin body for operation.
3. The real-time monitoring method for the space on-orbit laser machining process based on the digital twin as claimed in claim 1, wherein the real-time monitoring method comprises the following steps: and acquiring real-time data of the manufacturing process of the laser processing factory, and loading the data to the digital twin operation data of the laser processing factory by combining a metal grain growth mechanism and a process defect generation mechanism.
4. The real-time monitoring method for the space on-orbit laser machining process based on the digital twin as claimed in claim 1, wherein a micro-scale real-time monitoring system for the space on-orbit laser machining process is established in combination with a grain identification module and a defect identification module.
5. The real-time monitoring method for the space on-orbit laser machining process based on the digital twin as claimed in claim 1, wherein the real-time monitoring method comprises the following steps: the operation data of the digital twin body and the data obtained by the real-time monitoring system can be stored in a terminal database, can be called off-line and is convenient for post-processing analysis.
6. The real-time monitoring method for the space on-orbit laser machining process based on the digital twin as claimed in claim 1, wherein the real-time monitoring method comprises the following steps: evaluating the laser processing process test by combining a machine learning library and a process expert system, screening according to the evaluation result of the test, recording the data adopted by the process if the evaluation result is qualified or more, and providing parameter selection for the future process test according to the excellent and good sequence; and if the evaluation result is unqualified, providing an improved scheme for the test.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114762915A (en) * | 2022-06-16 | 2022-07-19 | 吉林大学 | Intelligent manufacturing system based on digital twinning |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH681710A5 (en) * | 1990-03-22 | 1993-05-14 | Wertheim Praezisions Tech | Profile grinding machine control using visual monitoring - has image of actual contour, provided by television camera, compared with required contour obtained from digital memory |
| KR101946973B1 (en) * | 2018-06-18 | 2019-02-12 | 주식회사 예람 | System for obtaining of indoor space information using fire management equiment |
| CN110333698A (en) * | 2019-03-30 | 2019-10-15 | 广东利元亨智能装备股份有限公司 | Factory management system and its method based on the twin platform of number |
| CN110738426A (en) * | 2019-10-18 | 2020-01-31 | 北京理工大学 | Digital twin control method and protection system for protecting space debris |
| CN110989507A (en) * | 2019-11-02 | 2020-04-10 | 温州大学 | Automatic production digital twin workshop generation device that detects of circuit breaker |
| CN111604592A (en) * | 2020-05-20 | 2020-09-01 | 南京航空航天大学 | Intelligent aerospace wall plate laser welding manufacturing method based on digital twin platform |
-
2021
- 2021-05-20 CN CN202110554562.0A patent/CN113275771A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH681710A5 (en) * | 1990-03-22 | 1993-05-14 | Wertheim Praezisions Tech | Profile grinding machine control using visual monitoring - has image of actual contour, provided by television camera, compared with required contour obtained from digital memory |
| KR101946973B1 (en) * | 2018-06-18 | 2019-02-12 | 주식회사 예람 | System for obtaining of indoor space information using fire management equiment |
| CN110333698A (en) * | 2019-03-30 | 2019-10-15 | 广东利元亨智能装备股份有限公司 | Factory management system and its method based on the twin platform of number |
| CN110738426A (en) * | 2019-10-18 | 2020-01-31 | 北京理工大学 | Digital twin control method and protection system for protecting space debris |
| CN110989507A (en) * | 2019-11-02 | 2020-04-10 | 温州大学 | Automatic production digital twin workshop generation device that detects of circuit breaker |
| CN111604592A (en) * | 2020-05-20 | 2020-09-01 | 南京航空航天大学 | Intelligent aerospace wall plate laser welding manufacturing method based on digital twin platform |
Non-Patent Citations (1)
| Title |
|---|
| 段现银: "数字孪生驱动的金属选择性激光熔融成形过程在线监控", 《计算机集成制造系统》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114762915A (en) * | 2022-06-16 | 2022-07-19 | 吉林大学 | Intelligent manufacturing system based on digital twinning |
| CN114762915B (en) * | 2022-06-16 | 2022-08-16 | 吉林大学 | Intelligent manufacturing system based on digital twinning |
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Application publication date: 20210820 |