CN113433898A - Large-scale thin chamber wall intelligent processing early warning system based on digital twinning - Google Patents
Large-scale thin chamber wall intelligent processing early warning system based on digital twinning Download PDFInfo
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Abstract
The invention discloses a large-scale thin cavity wall intelligent processing early warning system based on digital twinning, which aims to solve the problem that a large-scale thin cavity wall is easy to scrap in processing and comprises a workpiece real-time state recognition module, a workpiece state information display early warning module and a digital twinning system, wherein the workpiece state information display early warning module and the digital twinning system are respectively connected with the workpiece real-time state recognition module; the real-time workpiece state identification module comprises a workpiece scanning module, a workpiece measuring module and a workpiece photographing module. According to the intelligent processing early warning system for the large thin cavity wall based on the digital twinning, disclosed by the invention, by combining the digital twinning technology and the intelligent scanning measurement technology, the scrappage of workpieces generated in the processing of the large thin cavity wall is greatly reduced, the stability of workpiece processing is enhanced, and the economic benefit can be obviously improved.
Description
Technical Field
The invention relates to the field of intelligent manufacturing, in particular to a large-scale thin cavity wall intelligent processing early warning system based on digital twinning.
Background
The thin-wall part has the characteristics of deep cavity, thin wall and easy deformation, and belongs to a difficult problem in numerical control machining. For example, a large thin cavity wall in the aerospace field is easy to deform during processing, which may cause over-cutting, insufficient cutting and the like during processing, and may result in failure to ensure the precision of a workpiece, or even cause the rejection of the workpiece.
Disclosure of Invention
In order to solve the problem that a large thin cavity wall is easy to scrap in machining, the invention provides a large thin cavity wall intelligent machining early warning system based on digital twins, which comprises a workpiece real-time state recognition module, a workpiece state information display early warning module and a digital twins system, wherein the workpiece state information display early warning module and the digital twins system are respectively connected with the workpiece real-time state recognition module;
the real-time workpiece state identification module comprises:
the workpiece scanning module is used for scanning the workpiece state and the machining state in real time, feeding the workpiece state and the machining state scanned in real time back to the digital twin system, and outputting the workpiece state and the machining state scanned in real time to the workpiece state information display early warning module;
the workpiece measuring module is used for acquiring workpiece processing result information, feeding the workpiece processing result information back to the digital twin system, and outputting the workpiece processing result information to the workpiece state information display early warning module;
and the workpiece photographing module is used for photographing to obtain data information before and after workpiece machining, feeding the data information before and after workpiece machining back to the digital twinning system, and outputting the data information before and after workpiece machining to the workpiece state information display early warning module.
Preferably, the digital twin system comprises a twin model online updating module and a digital twin model module, wherein the twin model online updating module is connected with the workpiece real-time state identification module, and the twin model online updating module is connected with the digital twin model module.
Preferably, the twin model online updating module comprises a workpiece data online acquisition module and a workpiece data online updating module, the workpiece data online acquisition module is connected with the workpiece real-time state identification module, and the workpiece data online updating module is connected with the workpiece data online acquisition module.
Preferably, the workpiece data online acquisition module is connected with the workpiece scanning module in the workpiece real-time state identification module; the workpiece data online updating module comprises an experience unit which is used for optimizing the workpiece processing process information according to the workpiece state and the processing state scanned by the workpiece scanning module in real time, and the experience unit is connected with the digital twin model module.
Preferably, the digital twin model module comprises a workpiece processing experience upgrading module and a workpiece processing experience module connected with the workpiece processing experience upgrading module, and the workpiece processing experience upgrading module is connected with the experience unit.
Preferably, the workpiece data online acquisition module is connected with the workpiece measurement module in the workpiece real-time status identification module, and the workpiece data online update module includes a twin determination unit, which is configured to determine whether machining needs to be performed again according to workpiece machining result information acquired by the workpiece measurement module.
Preferably, the workpiece data online acquisition module is connected with the workpiece photographing module in the workpiece real-time state identification module, the workpiece data online updating module comprises a workpiece library unit connected with the digital twin model module, and the workpiece library unit is used for updating a workpiece pre-processing database and a workpiece post-processing database according to data information before and after processing of the workpiece acquired by the workpiece photographing module.
Preferably, the digital twin model module further comprises a workpiece structure module and a workpiece machining simulation module for simulation cutting simulation before workpiece machining, wherein the workpiece structure module is constructed based on a preset large-scale thin cavity wall to be machined.
Preferably, the workpiece state information display early warning module comprises a display information module for displaying the current state of the workpiece, a workpiece information description module for describing the current characteristic information of the workpiece, and an early warning prompt guidance module for alarming the processing abnormity of the workpiece; the early warning prompt guidance module comprises an early warning judgment unit, and the early warning judgment unit is connected with the workpiece real-time state identification module.
Compared with the prior art, the large-scale thin cavity wall intelligent processing early warning system based on the digital twin has the following beneficial effects:
according to the intelligent processing early warning system for the large thin cavity wall based on the digital twinning, disclosed by the invention, by combining the digital twinning technology and the intelligent scanning measurement technology, the scrappage of workpieces generated in the processing of the large thin cavity wall is greatly reduced, the stability of workpiece processing is enhanced, and the economic benefit can be obviously improved.
The scheme provided by the invention has the advantages that the change of the existing system is small, the compatibility of the system is not influenced, and the realization is simple and efficient.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic overall structure diagram of a large-scale thin cavity wall intelligent processing early warning system based on digital twins according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a real-time workpiece state recognition module in a digital twin-based large-scale thin-cavity intelligent processing early warning system according to an embodiment of the present invention;
FIG. 3 is a schematic block structure diagram of a digital twinning system in a large-scale thin-cavity wall intelligent processing early warning system based on digital twinning according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a workpiece state information display early warning module in a large-scale thin-cavity wall intelligent processing early warning system based on digital twins according to an embodiment of the present invention.
The labels in the figures illustrate:
10. a workpiece real-time state identification module;
101. a workpiece scanning module; 103. a workpiece measurement module; 105. a workpiece photographing module;
20. the workpiece state information display early warning module; 201. an early warning prompt guidance module; 2011. an early warning judgment unit; 203. a workpiece information specification module; 205. a display information module;
30. a digital twinning system;
301. a twin model online updating module; 3011. a workpiece data online acquisition module; 3013. the workpiece data online updating module; 3012. a twin determination unit; 3014. an experience unit; 3016. a work library unit;
302. a digital twin model module; 3021. a workpiece structure module; 3023. a workpiece processing simulation module; 3025. a workpiece processing experience module; 3027. and a workpiece processing experience upgrading module.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 shows an overall structural schematic diagram of a large-scale thin-cavity-wall intelligent processing early-warning system based on digital twinning according to an embodiment of the present invention, and as shown in fig. 1, the large-scale thin-cavity-wall intelligent processing early-warning system based on digital twinning according to an embodiment of the present invention includes a workpiece real-time status recognition module 10, a workpiece status information display early-warning module 20, and a digital twinning system 30, where the workpiece status information display early-warning module 20 and the digital twinning system 30 are respectively connected to the workpiece real-time status recognition module 10.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating a module structure of a real-time workpiece status recognition module 10 in a digital twin-based large-scale thin-cavity intelligent processing early warning system according to an embodiment of the present invention, and as shown in fig. 2, the real-time workpiece status recognition module 10 includes:
the workpiece scanning module 101 is configured to scan a workpiece state and a machining state in real time, feed back the workpiece state and the machining state scanned in real time to the digital twinning system 30, and output the workpiece state and the machining state scanned in real time to the workpiece state information display and early warning module 20;
the workpiece measuring module 103 is used for acquiring workpiece processing result information, feeding the workpiece processing result information back to the digital twin system 30, and outputting the workpiece processing result information to the workpiece state information display and early warning module 20;
and the workpiece photographing module 105 is configured to photograph to obtain data information before and after workpiece processing, feed back the data information before and after workpiece processing to the digital twinning system 30, and output the data information before and after workpiece processing to the workpiece state information display and early warning module 20.
Referring to fig. 3, fig. 3 shows a schematic block structure diagram of a digital twin system 30 in a large-scale thin-cavity-wall intelligent processing early warning system based on digital twin according to an embodiment of the present invention, and as shown in fig. 3, the digital twin system 30 includes a twin model online updating module 301 and a digital twin model module 302, where the twin model online updating module 301 is connected to the workpiece real-time status recognition module 10, and the twin model online updating module 301 is connected to the digital twin model module 302.
The twin model online updating module 301 comprises a workpiece data online acquisition module 3011 connected to the workpiece real-time status recognition module 10, and a workpiece data online updating module 3013 connected to the workpiece data online acquisition module 3011, wherein the workpiece data online acquisition module 3011 is connected to the workpiece real-time status recognition module 10, and the workpiece data online updating module 3013 is connected to the workpiece data online acquisition module 3011.
In some embodiments, the workpiece data online acquisition module 3011 is connected to the workpiece scanning module 101 in the workpiece real-time status recognition module 10. The workpiece data online updating module 3013 includes an experience unit 3014 for optimizing the workpiece processing process information according to the workpiece state and the processing state scanned by the workpiece scanning module 101 in real time, and the experience unit 3014 is connected to the digital twin model module 302.
The digital twin model module 302 includes a workpiece processing experience upgrade module 3027, a workpiece processing experience module 3025 connected to the workpiece processing experience upgrade module 3027, wherein the workpiece processing experience upgrade module 3027 is connected to the experience unit 3014.
For example, when a certain process is performed on a large thin-wall cavity, the configured process parameter is a selected range, such as 1-10, a parameter close to the lower limit 1, such as 2, is pre-configured in the process parameter execution, and the target preferred range is a parameter close to the upper limit 10, so that if the acquired actual parameter is 7 in the actual workpiece processing process, the pre-configured 2 can be adjusted to 7, thereby optimizing the workpiece processing process information.
It should be noted that, in consideration of the fact that the large-scale thin cavity wall process itself is complex, in the embodiment of the present invention, after the related workpiece processing process information is optimized, the optimized workpiece processing process information is output to the workpiece processing experience upgrading module 3027, and the workpiece processing experience upgrading module 3025 is completed through the workpiece processing experience upgrading module 3027, so as to further summarize the production experience, avoid the situations of over-cutting, incomplete cutting, and the like, and improve the production efficiency to a certain extent.
In some embodiments, to facilitate simulation, the digital twin model module 302 includes a workpiece machining simulation module 3023 for analog cutting simulation prior to workpiece machining.
In some embodiments, for visual display, the digital twin model module 302 includes a workpiece structure module 3021, and the workpiece structure module 3021 is a workpiece basic structure model corresponding to an actually processed workpiece, such as a preset large thin cavity wall to be processed.
In some embodiments, the workpiece data online acquisition module 3011 is connected to the workpiece measurement module 103 in the workpiece real-time status identification module 10. The workpiece data online update module 3013 includes a twin determination unit 3012 that determines whether or not processing needs to be performed again based on the workpiece processing result information collected by the workpiece measurement module 103.
Specifically, the workpiece data online acquisition module 3011 receives workpiece processing result information sent from the workpiece measurement module 103, and outputs the workpiece processing result information to the twin determination unit 3012 in the workpiece data online update module 3013, and the twin determination unit 3012 compares the workpiece processing result information with preset processing result information, and if the two are different, the production executes the processing instruction again to further process the workpiece, for example, continue to execute the cutting action when the cutting is not in place.
In some embodiments, the workpiece data online acquisition module 3011 is connected to the workpiece photographing module 105 in the workpiece real-time status recognition module 10, the workpiece data online updating module 3013 includes a workpiece library unit 3016 connected to the digital twin model module 302, and the workpiece library unit 3016 is configured to update the pre-processing and post-processing databases of the workpiece according to the pre-processing and post-processing data information of the workpiece acquired by the workpiece photographing module 105.
In an example, the workpiece photographing module 105 photographs a workpiece before and after processing, establishes a database before and after processing, feeds back acquired data information before and after processing of the workpiece to the workpiece library unit 3016, outputs the data information before and after processing of the workpiece to the digital twin model module 302 for updating by processing in the workpiece library unit 3016, and outputs the acquired data information before and after processing of the workpiece to the workpiece state information display and early warning module 20.
In some embodiments, the pre-process and post-process databases of the workpiece are built into the digital twin model module 302.
Referring to fig. 4, in order to know the processing information of the workpiece in real time, a workpiece state information display and early warning module 20 in the large-scale thin-cavity wall intelligent processing and early warning system based on the digital twin according to an embodiment of the present invention includes:
the display information module 205 is used for displaying the current state of the workpiece, such as whether the workpiece is machined, the cutting parameters of the workpiece, measurement data and other information, and displaying the current state of the workpiece on the display information module 205 in real time, so that the machining information is more visual;
a workpiece information specification module 203, configured to specify current characteristic information of a workpiece, such as a workpiece processing progress, a workpiece deformation, a workpiece processing quality, and the like;
the early warning prompt guidance module 201 is configured to output an alarm for abnormal conditions, such as workpiece machining out-of-tolerance, workpiece deformation exceeding tolerance, and the like, of the workpiece and the workpiece machining state acquired by the workpiece real-time state identification module 10, that is, for an alarm for workpiece machining abnormality.
In some embodiments, the early warning guidance module 201 includes an early warning judgment unit 2011 connected to the workpiece real-time status recognition module 10 in advance, where the early warning judgment unit 2011 is configured to compare the workpiece and the workpiece processing status acquired by the workpiece real-time status recognition module 10 with a preset workpiece and workpiece processing status, and if the tolerance between the workpiece and the workpiece processing status is within a preset range, not perform alarm output, otherwise perform alarm output. The embodiment of the invention can realize the monitoring of the processing state of the workpiece and the self state of the workpiece, and realize the early warning function of the state of the workpiece through the comparison of the preset workpiece and the processing state of the workpiece, thereby avoiding the cutting and scrapping of the workpiece.
It should be noted that the preset workpiece and workpiece processing state in the early warning determination unit 2011 and the preset processing result information in the twin determination unit 3012 are set based on the preset technical information of the large thin cavity wall to be processed, so the two are different from each other in specific comparison data information range, but basic information, such as depth, thickness and the like, are consistent.
In order to further understand the large-scale thin cavity wall intelligent processing early warning system based on the digital twin in the embodiment of the invention, the working principle is briefly described as follows:
the large-scale thin-cavity wall intelligent processing early warning system based on the digital twin reads the workpiece state in real time through the workpiece scanning module 101, the workpiece measuring module 103 and the workpiece photographing module 105 in the workpiece real-time state recognition module 10, and transmits the acquired workpiece state and processing state, workpiece processing result information and data information before and after workpiece processing to the digital twin system 30 for relevant processing such as process parameter optimization and processing progress control on one hand, and simultaneously transmits the workpiece state information display early warning module 20 for display on the other hand, so that a user can more visually see a series of information during processing and timely acquire abnormal condition information of workpiece processing, and the reliability and the foresight of workpiece processing are improved to a certain extent.
Compared with the prior art, the large-scale thin cavity wall intelligent processing early warning system based on the digital twin has the following beneficial effects:
according to the digital twin-based large-scale thin-cavity wall intelligent processing early warning system, the digital twin technology and the intelligent scanning measurement technology are combined, so that the scrappage of workpieces generated in the large-scale thin-cavity wall processing is greatly reduced, the workpiece processing stability is enhanced, and the economic benefit can be obviously improved.
The scheme provided by the invention has the advantages that the change of the existing system is small, the compatibility of the system is not influenced, and the realization is simple and efficient.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (9)
1. A large-scale thin-cavity wall intelligent processing early warning system based on digital twins is characterized by comprising a workpiece real-time state recognition module, a workpiece state information display early warning module and a digital twins system, wherein the workpiece state information display early warning module and the digital twins system are respectively connected with the workpiece real-time state recognition module;
the real-time workpiece state identification module comprises:
the workpiece scanning module is used for scanning the workpiece state and the machining state in real time, feeding the workpiece state and the machining state scanned in real time back to the digital twin system, and outputting the workpiece state and the machining state scanned in real time to the workpiece state information display early warning module;
the workpiece measuring module is used for acquiring workpiece processing result information, feeding the workpiece processing result information back to the digital twin system, and outputting the workpiece processing result information to the workpiece state information display early warning module;
and the workpiece photographing module is used for photographing to obtain data information before and after workpiece machining, feeding the data information before and after workpiece machining back to the digital twinning system, and outputting the data information before and after workpiece machining to the workpiece state information display early warning module.
2. The large-scale thin cavity wall intelligent processing early warning system based on digital twin as claimed in claim 1, wherein the digital twin system comprises a twin model online updating module and a digital twin model module, the twin model online updating module is connected with the workpiece real-time state recognition module, and the twin model online updating module is connected with the digital twin model module.
3. The digital twin-based large-scale thin-chamber-wall intelligent processing early warning system as claimed in claim 2, wherein the twin model online updating module comprises a workpiece data online acquisition module and a workpiece data online updating module, the workpiece data online acquisition module is connected with the workpiece real-time state recognition module, and the workpiece data online updating module is connected with the workpiece data online acquisition module.
4. The intelligent processing early warning system for the large-scale twin-based thin cavity wall as claimed in claim 3, wherein the workpiece data online acquisition module is connected with the workpiece scanning module in the workpiece real-time status recognition module; the workpiece data online updating module comprises an experience unit which is used for optimizing the workpiece processing process information according to the workpiece state and the processing state scanned by the workpiece scanning module in real time, and the experience unit is connected with the digital twin model module.
5. The large-scale thin-cavity wall intelligent processing early warning system based on digital twin as claimed in claim 4, wherein the digital twin model module comprises a workpiece processing experience upgrading module and a workpiece processing experience module connected with the workpiece processing experience upgrading module, and the workpiece processing experience upgrading module is connected with the experience unit.
6. The large-scale thin-cavity wall intelligent processing early warning system based on the digital twin as claimed in claim 3, wherein the workpiece data online acquisition module is connected with the workpiece measurement module in the workpiece real-time status recognition module, the workpiece data online update module comprises a twin judgment unit, and the twin judgment unit is used for judging whether processing needs to be executed again according to the workpiece processing result information acquired by the workpiece measurement module.
7. The large-scale thin-cavity wall intelligent processing early warning system based on digital twin as claimed in claim 3, wherein the workpiece data online acquisition module is connected with the workpiece photographing module in the workpiece real-time status recognition module, the workpiece data online updating module comprises a workpiece library unit connected with the digital twin model module, and the workpiece library unit is used for updating the pre-processing and post-processing databases of the workpiece according to the data information before and after processing of the workpiece acquired by the workpiece photographing module.
8. The intelligent processing early warning system for the large-scale thin cavity wall based on the digital twin as claimed in claim 2, wherein the digital twin model module further comprises a workpiece structure module and a workpiece processing simulation module for simulation cutting before workpiece processing, and the workpiece structure module is constructed based on a preset large-scale thin cavity wall to be processed.
9. The intelligent processing early warning system for the large-scale twin-based thin cavity wall as claimed in claim 1, wherein the workpiece state information display early warning module comprises a display information module for displaying the current state of the workpiece, a workpiece information description module for describing the current characteristic information of the workpiece, and an early warning prompt guidance module for alarming the processing abnormity of the workpiece; the early warning prompt guidance module comprises an early warning judgment unit, and the early warning judgment unit is connected with the workpiece real-time state identification module.
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| CN114043024A (en) * | 2021-11-30 | 2022-02-15 | 大连工业大学 | Digital twin electric spark machining based cavity morphology online monitoring system and online monitoring method |
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| CN111968004A (en) * | 2020-08-07 | 2020-11-20 | 东华大学 | High-precision product assembling and adjusting integrated system based on digital twins |
| CN113538865A (en) * | 2021-06-18 | 2021-10-22 | 意特利（上海）科技有限公司 | Five-axis linkage machine tool online diagnosis early warning system and method based on digital twinning |
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| CN114043024A (en) * | 2021-11-30 | 2022-02-15 | 大连工业大学 | Digital twin electric spark machining based cavity morphology online monitoring system and online monitoring method |
| CN114043024B (en) * | 2021-11-30 | 2022-08-30 | 大连工业大学 | Digital twin electric spark machining based cavity morphology online monitoring system and online monitoring method |
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