CN114859830A - Digital twin system applied to industrial production - Google Patents
Digital twin system applied to industrial production Download PDFInfo
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- CN114859830A CN114859830A CN202210412197.4A CN202210412197A CN114859830A CN 114859830 A CN114859830 A CN 114859830A CN 202210412197 A CN202210412197 A CN 202210412197A CN 114859830 A CN114859830 A CN 114859830A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
Abstract
The invention discloses a digital twinning system applied to industrial production, which comprises: the system comprises a physical entity module, a data acquisition module, a digital twin module, a data optimization module and a multi-dimensional display module; the data acquisition module is used for acquiring industrial production data of the physical entity module and scheduling the industrial production data according to the priority; the digital twin module is used for establishing a digital twin body for a physical entity in reality and simulating and modeling industrial production data; the data optimization module is used for realizing interaction and synchronous feedback of a physical layer and an analog-digital twin layer to form a closed loop; and the multi-dimensional display module is used for carrying out multi-dimensional display on the simulation result. The invention solves the problems of real-time dynamic simulation, virtual monitoring, analysis and evaluation and the like of the manufacturing process executed by the production line, and improves the integrated and visual management level of the workshop production line.
Description
Technical Field
The invention relates to the technical field of digital twin data management, in particular to a digital twin system applied to industrial production.
Background
The digital twin technology originates from the mirror image of the aircraft in the Apollo project by the United states State aerospace agency and is applied to the monitoring of the flight state. A general electric company implements a digital twin body on a cloud platform of the general electric company, and adopts advanced technologies such as big data and the Internet of things to realize real-time monitoring, timely inspection and predictive maintenance of an engine.
The digital twin technology applied to industrial production can get through the technological process from research and development to production, can utilize the virtual model to simulate unknown fields and designs, and can also avoid potential safety hazards caused by direct implementation in production. Meanwhile, the digital twin is a technical means for implementing and developing the information physical network CPS, and combines the intelligence of the product manufacturing process and the intelligence of the product. The production processing and running states of the entity product can be accurately reflected in the virtual space in real time, the bidirectional flow of information is realized, and the product manufacturing is accurately controlled by using the feedback mechanism of the information. And (4) connecting the digital twin simulation with a knowledge base to form an analysis and decision result and guide actual production. It is very necessary to apply the digital twinning technique to industrial production.
But as the digital twin technology is not mature, the technology is mainly applied to product design and has less application in production systems and workshops. Therefore, how to apply the digital twinning technology to actual industrial production becomes the direction of research in the prior art.
Disclosure of Invention
In view of the above, the invention provides a digital twin system applied to industrial production, which solves the problems of real-time dynamic simulation, virtual monitoring, analysis and evaluation and the like of the production line execution manufacturing process, and improves the integrated and visual management level of the workshop production line.
In order to achieve the purpose, the invention adopts the following technical scheme:
a digital twinning system for industrial production, comprising: the system comprises a physical entity module, a data acquisition module, a digital twin module, a data optimization module and a multi-dimensional display module;
the data acquisition module is used for acquiring industrial production data of the physical entity module and scheduling the industrial production data according to the priority;
the digital twin module is used for establishing a digital twin body for a physical entity in reality and simulating and modeling industrial production data;
the data optimization module is used for realizing interaction and synchronous feedback of a physical layer and an analog-digital twin layer to form a closed loop;
the multi-dimensional display module is used for displaying the simulation result in a multi-dimensional mode.
Preferably, the industrial production data includes, but is not limited to, industrial production schedule data, logistics data, implementation time data, and instrumentation data.
Preferably, the data acquisition module comprises an intelligent sensing node unit, a task attribute definition unit, a task scheduling cache unit and a task scheduling priority judgment unit;
the intelligent sensing node unit is used for acquiring industrial production data of the physical entity module;
the task attribute defining unit is used for defining task complexity and the maximum waiting time allowed according to the industrial production data;
the task scheduling cache unit is used for caching the tasks which arrive in batches;
the task scheduling priority judging unit is used for calculating the scheduling priority of the batch arriving tasks according to the task complexity and the maximum waiting time, sequencing the scheduling priority and scheduling the data with the highest scheduling priority to the digital twin module.
Preferably, the system further comprises a blockchain module, wherein the blockchain module is in communication with the digital twin module and is used for ensuring the safety of data of the digital twin creation process and the virtual simulation process.
Preferably, the blockchain module includes a blockhead and a blockbody, the blockhead is a unique identifier of the blockbody, and the blockbody is used for storing digital twin body data in the digital twin module.
Preferably, the system also comprises a production line performance evaluation module for evaluating the comprehensive performance of the production line of the industrial production.
Preferably, the production line performance evaluation module comprises a data processing unit, an index calculation unit and a comprehensive evaluation unit;
the data processing unit is used for receiving and processing the actual production line production state data sent by the data acquisition module and sending the data to the index calculation unit;
the index calculation unit integrates a calculation method of a plurality of production line single performance indexes, and single performance index results are forwarded to the comprehensive evaluation unit;
and the comprehensive evaluation unit takes the calculation result of the single performance index as input according to a preset evaluation standard, obtains a comprehensive performance evaluation score by adopting a hierarchical analysis method, and performs overall evaluation on the comprehensive performance of the production line.
The invention has the following advantages:
1) through the real-time intercommunication of the data of the digital twin body and the real equipment, the life cycle process of equipment production is accurately simulated, predicted and analyzed, and the production and management efficiency is greatly improved. Meanwhile, the block chain technology is used for solving the problems of safety and credibility of data in the digital twin construction process, greatly promotes the scientific and intelligent development of the industrial internet field, and can effectively solve the defects and shortcomings in the prior art;
2) the problem that the emergency task cannot be immediately scheduled can be solved to a certain extent, and the complex task scheduling efficiency of the digital twin system is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic block diagram of a digital twinning system applied to industrial production.
Fig. 2 is a block diagram of a data acquisition module according to the present invention.
FIG. 3 is a block diagram of a production line performance evaluation module according to the present invention.
Detailed Description
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.
The embodiment of the invention discloses a digital twinning system applied to industrial production, which comprises: the system comprises a physical entity module, a data acquisition module, a digital twin module, a data optimization module and a multi-dimensional display module.
The data acquisition module is used for acquiring industrial production data of the physical entity module and scheduling the industrial production data according to the priority. The method specifically comprises the following steps: the data acquisition module comprises an intelligent sensing node unit, a task attribute definition unit, a task scheduling cache unit and a task scheduling priority judgment unit;
the intelligent sensing node unit is used for acquiring industrial production data of the physical entity module;
the task attribute defining unit is used for defining task complexity and the maximum waiting time allowed according to industrial production data;
the task scheduling cache unit is used for caching the tasks which arrive in batches;
and the task scheduling priority judging unit is used for calculating the scheduling priority of the batch arriving tasks according to the task complexity and the maximum waiting time, sequencing the scheduling priority and scheduling the highest scheduling priority to the digital twin module.
The digital twin module mainly comprises a physical space and a digital virtual space; the digital twin module establishes a digital twin body for a physical entity in reality and solves the actual problem according to an analog simulation, space mapping and prediction scheme. And (3) carrying out multi-level and full-dimensional simulation and modeling on basic equipment, a product system and a production environment by combining a digitization technology and an artificial intelligence technology.
The data optimization module is used for realizing interaction and synchronous feedback of a physical layer and a virtual digital twin layer and perfecting the process in a physical space. The twin data is originated from application services of a physical entity, a virtual model and a virtual twin, and the physical entity, the digital twin model and the digital twin are connected into an organic whole by the data optimization module, so that information and data are mutually coupled and interactively fed back among all parts, closed-loop feedback control and bidirectional connection between virtual and real in the production process are realized, and the method specifically comprises precision analysis and optimization, real-time monitoring of resources and quality, scheduling optimization and the like.
And the multidimensional display module displays the virtual simulation result in a terminal in a multidimensional and more intuitive way through a visual tool. High-resolution three-dimensional visualization is supported, and the application function requirements of achievement and model display, man-machine interaction and team cooperative work are met. The invention adopts a mode of combining Echarts and three. The Echarts technology is used for displaying real-time data or statistical data in the data simulation and modeling process, the three.js technology provides rich three-dimensional model display functions, the technology is used for realizing the visual display of a digital twin model, and the dynamic change of simulation data is monitored in real time in a more intuitive and convenient interactive mode.
In order to optimize the technical scheme, the system further comprises a block chain module, and the traceability, the safety and the high availability of the block chain technology are used for ensuring the safety of data in the digital twin creation process and the virtual simulation process. The block chain module builds a peer-to-peer network platform by relying on the Internet technology. And constructing a block in the block chain module, wherein the block comprises a block head and a block body, the block head is the unique identification of the block, and the block body is used for storing the data of the digital twin obtained from the twin module. And selecting a consensus node to participate in consensus through a consensus mechanism, finally generating a new block and linking different blocks together to form a complete data block chain of the digital twin.
And the block chain module packages the data into transactions and stores the transactions, the structure of the stored data is a Merckel tree structure, the data at different moments are collected within preset time to form a new transaction, and the new transaction is stored in the form of the Merckel tree.
In order to optimize the technical scheme, the system also comprises a production line performance evaluation module, wherein the production line performance evaluation module comprises a data processing unit, an index calculation unit and a comprehensive evaluation unit; the data processing unit is used for receiving and processing the actual production line production state data sent by the data acquisition module and sending the data to the index calculation unit; the index calculation unit integrates a calculation method of single performance indexes of a plurality of production lines, and single performance index results are forwarded to the comprehensive evaluation unit; and the comprehensive evaluation unit takes the calculation result of the single performance index as input according to a preset evaluation standard, obtains a comprehensive performance evaluation score by adopting a hierarchical analysis method, and performs overall evaluation on the comprehensive performance of the production line.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A digital twinning system for industrial production, comprising: the system comprises a physical entity module, a data acquisition module, a digital twin module, a data optimization module and a multi-dimensional display module;
the data acquisition module is used for acquiring industrial production data of the physical entity module and scheduling the industrial production data according to the priority;
the digital twin module is used for establishing a digital twin body for a physical entity in reality and simulating and modeling industrial production data;
the data optimization module is used for realizing interaction and synchronous feedback of a physical layer and an analog-digital twin layer to form a closed loop;
the multi-dimensional display module is used for displaying the simulation result in a multi-dimensional mode.
2. The digital twinning system applied to industrial production as claimed in claim 1, wherein the industrial production data includes but is not limited to industrial production progress data, logistics data, implementation time data and instrument and equipment data.
3. The digital twin system applied to industrial production according to claim 1, wherein the data acquisition module comprises an intelligent sensing node unit, a task attribute definition unit, a task scheduling cache unit and a task scheduling priority judgment unit;
the intelligent sensing node unit is used for acquiring industrial production data of the physical entity module;
the task attribute defining unit is used for defining task complexity and the maximum waiting time allowed according to the industrial production data;
the task scheduling cache unit is used for caching the tasks which arrive in batches;
the task scheduling priority judging unit is used for calculating the scheduling priority of the batch arriving tasks according to the task complexity and the maximum waiting time, sequencing the scheduling priority and scheduling the data with the highest scheduling priority to the digital twin module.
4. The digital twinning system applied to industrial production as claimed in claim 1, further comprising a blockchain module, wherein the blockchain module is in communication with the digital twinning module for ensuring the safety of the digital twinning process and the virtual simulation process data.
5. The digital twinning system applied to industrial production of claim 4, wherein the blockchain module includes a blockhead and a blockbody, the blockhead is a unique identifier of the blockbody, and the blockbody is used for storing digital twinning body data in the digital twinning module.
6. The digital twinning system applied to industrial production as claimed in claim 1, further comprising a production line performance evaluation module for evaluating the comprehensive performance of the production line of industrial production.
7. The digital twinning system applied to industrial production as claimed in claim 6, wherein the production line performance evaluation module comprises a data processing unit, an index calculation unit and a comprehensive evaluation unit;
the data processing unit is used for receiving and processing the actual production line production state data sent by the data acquisition module and sending the data to the index calculation unit;
the index calculation unit integrates a calculation method of a plurality of production line single performance indexes and forwards a single performance index calculation result to the comprehensive evaluation unit;
and the comprehensive evaluation unit takes the calculation result of the single performance index as input according to a preset evaluation standard, obtains a comprehensive performance evaluation score by adopting a hierarchical analysis method, and performs overall evaluation on the comprehensive performance of the production line.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN115495485A (en) * | 2022-09-30 | 2022-12-20 | 广西产研院人工智能与大数据应用研究所有限公司 | Internet of things application digital twinning method with block chain characteristic |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN115495485A (en) * | 2022-09-30 | 2022-12-20 | 广西产研院人工智能与大数据应用研究所有限公司 | Internet of things application digital twinning method with block chain characteristic |
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Application publication date: 20220805 |