CN115328068A - Digital twinning system applied to industrial production - Google Patents
Digital twinning system applied to industrial production Download PDFInfo
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- CN115328068A CN115328068A CN202211157189.6A CN202211157189A CN115328068A CN 115328068 A CN115328068 A CN 115328068A CN 202211157189 A CN202211157189 A CN 202211157189A CN 115328068 A CN115328068 A CN 115328068A
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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
Abstract
The invention relates to the technical field of digital twinning, in particular to a digital twinning system applied to industrial production, which comprises: the data acquisition module comprises a dynamic data information unit and a static data information unit; a model building module; the model building module comprises a space model unit, a characteristic model unit, a production process model unit and a model integration unit; a digital twinning module; the digital twinning module comprises an information extraction unit and a digital twinning unit. According to the invention, data acquisition is carried out on the production and manufacturing process, a digital twinning model is constructed, digital twinning simulation is carried out, and equipment operation and production flow are analyzed according to simulated twinning data, so that each link of the original production scene is restored in real time, the production state of a production workshop is accurately mastered, the fault prediction of equipment is realized, and further, the production scheme optimization can be carried out on the production process, and thus better prediction and management can be carried out on the production.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a digital twinning system applied to industrial production.
Background
The digital twin is a simulation process integrating multidisciplinary, multi-physical quantity, multi-scale and multi-probability by fully utilizing data such as a physical model, sensor updating, operation history and the like, and mapping is completed in a virtual space so as to reflect the full life cycle process of corresponding entity equipment.
The digital twin technology applied to industrial production can get through the technical process from research and development to production, can utilize the unknown field and design of virtual model simulation, and can also avoid the potential safety hazard generated by the implementation in the production directly, meanwhile, the digital twin is the technical means of the implementation and development of the information physical network CPS, and combines the intellectualization of the product manufacturing process and the intellectualization of the product, so that the production processing and running state of the entity product can be accurately reflected in the virtual space in real time, the bidirectional flow of information is realized, the product manufacturing is accurately controlled by utilizing the feedback mechanism of the information, the digital twin simulation is linked with the knowledge base to form the analysis and decision result to guide the actual production, and therefore, the application of the digital twin technology to the industrial production is very necessary.
At present, in the application of a digital twin system in a production workshop, a large amount of basic data still needs to be input in advance in the digital twin technology of the production workshop, and each link of an original production scene is difficult to efficiently and real-timely restore, so that the production state of the production workshop cannot be accurately mastered, the fault prediction of equipment cannot be realized, the production scheme optimization of a production process cannot be carried out, and the production cannot be better predicted and managed.
Disclosure of Invention
The invention provides the following technical scheme:
a digital twinning system for industrial production, comprising:
the data acquisition module comprises a dynamic data information unit and a static data information unit;
a model building module; the model building module comprises a space model unit, a characteristic model unit, a production process model unit and a model integration unit;
a digital twinning module; the digital twin module comprises an information extraction unit and a digital twin unit;
a data analysis module; the data analysis module comprises a state analysis unit and an optimization analysis unit;
an application management module; the application management module comprises a control management unit.
As a preferred real-time scheme of the present invention, when data acquisition is performed in a production and manufacturing process, the data acquisition module performs comprehensive data acquisition for a production workshop, the static data information unit is configured to acquire data that does not change in the production and manufacturing process to obtain static data information, and the dynamic data information unit is configured to perform real-time dynamic data acquisition for data that changes at any time in the production and manufacturing process to obtain dynamic data information.
As a preferable real-time scheme of the invention, the model establishing module establishes a digital twin model according to the static data information unit, wherein the digital twin model comprises a space model, a characteristic model and a production process model.
As a preferred real-time solution of the present invention, the information extraction unit is configured to extract information from the dynamic data information to obtain production parameter information; and the digital twin unit is used for updating the state of the digital twin model according to the production parameter information and simulating to generate twin data.
As a preferred real-time scheme of the present invention, the state analysis unit is configured to analyze an operation state of the device in the production workshop according to the twin data to obtain operation state data of the device, and perform fault prediction on the device according to the operation state data to obtain device fault prediction information; and the optimization analysis unit is used for analyzing the production and manufacturing process according to the twin data to obtain a production and manufacturing process analysis result.
The invention also discloses a digital twinning system and a method applied to industrial production, which specifically comprise the following steps:
s1, carrying out data acquisition on a production process to acquire data information of a production workshop;
s2, constructing a digital twin model according to the data information to obtain a digital twin model of the production workshop;
s3, performing digital twinning simulation by using the digital twinning model and combining the data information to generate twinning data of a production workshop;
s4, analyzing the equipment operation and the production flow according to the twin data to obtain the prediction information of the production workshop;
and S5, controlling and managing the production process according to the prediction information.
As a preferred real-time scheme of the present invention, in step S1, data acquisition is performed in a manufacturing process, and the data acquisition is divided into static data and dynamic data according to the number of acquisition times, where the static data needs to be acquired periodically or at a single time, and the static data needs to be acquired in real time.
As a preferred real-time solution of the present invention, the step S5 is to control and manage the production process, and indirectly control the devices mapped in the actual production plant according to the prediction information of the twin devices.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the embodiment of the application, data acquisition is carried out on the production and manufacturing process, a digital twinning model is constructed, digital twinning simulation is carried out, equipment operation and production flow are analyzed according to simulated twinning data, so that all links of an original production scene are restored in real time, the production state of a production workshop is accurately mastered, fault prediction of equipment is achieved, then production scheme optimization can be carried out on the production process, and better prediction and management are carried out on production.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram of a digital twinning system applied to industrial production according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a method applied to a digital twinning system for industrial production according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.
In the description of the embodiments of the present invention, it should be noted that, if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or the orientations or positional relationships that the products of the present invention are usually placed in when used, the orientations or positional relationships are only used for convenience of describing the present invention and simplifying the description, but the terms do not indicate or imply that the devices or elements indicated must have specific orientations, be constructed in specific orientations, and operate, and therefore, should not be construed as limiting the present invention. Furthermore, the appearances of the terms "first," "second," "third," and the like, if any, are only used to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical", "suspended" and the like do not require that the components be absolutely horizontal or suspended, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the embodiments of the present invention, it should be further noted that unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" should be broadly construed and interpreted as including, for example, fixed connections, detachable connections, or integral connections; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1-2, the present application provides a digital twinning system applied to industrial production, which constructs a digital twinning model by performing data acquisition on a production and manufacturing process, performs digital twinning simulation, and analyzes equipment operation and a production flow according to simulated twinning data, thereby restoring each link of an original production scene in real time, accurately mastering a production state of a production workshop, realizing fault prediction on equipment, and further optimizing a production scheme on the production process, thereby performing better prediction and management on production, specifically, comprising:
as shown in fig. 1, the present application provides a digital twinning system applied to industrial production, comprising:
the data acquisition module comprises a dynamic data information unit and a static data information unit;
a model building module; the model building module comprises a space model unit, a characteristic model unit, a production process model unit and a model integration unit;
a digital twinning module; the digital twinning module comprises an information extraction unit and a digital twinning unit;
a data analysis module; the data analysis module comprises a state analysis unit and an optimization analysis unit;
an application management module; the application management module comprises a control management unit.
In this embodiment, when carrying out data acquisition to the manufacturing process, carry out comprehensive data acquisition to the workshop to obtain the data information of workshop, wherein, data information includes: the dynamic data information is data which can not change in the production and manufacturing process, the dynamic data information is data which can change at any time in the production and manufacturing process, real-time information acquisition is carried out on the dynamic data during data acquisition, the static data information only needs to be acquired once during static data acquisition, the effectiveness of data acquisition can be improved, time waste caused by repeated acquisition of the static data information is avoided, or data is acquired again when the data is changed, a series of errors caused by untimely data updating are avoided, the digital twin simulation can be more consistent with the actual production and manufacturing process by acquiring the real-time information of the dynamic data information, errors of the digital twin simulation and the actual production and manufacturing process are effectively reduced, and the accuracy of the digital twin simulation is improved.
In this embodiment, the constructed digital twin model includes a spatial model, a feature model, and a production process model, and when the spatial model is constructed, the spatial mapping is performed on a production workshop according to static data information, and a spatial structure of the production workshop is constructed to form a spatial 3D module; when a feature model is constructed, sequentially extracting data information of each product and person in a production workshop from static data information, extracting features according to attributes of the product or the person to obtain feature information of the product and the person, wherein the feature information comprises appearance feature information and functional feature information, constructing a spatial contour of the product and the person according to the appearance feature information to obtain a spatial model of the product and the person, writing the spatial model of the product and the person into the spatial model of the product and the person through coding according to the functional feature information, and giving functional attributes of the spatial model of the product and the person to obtain the feature model; when the production process model is constructed, analyzing the production and manufacturing process, determining the step flow of production and manufacturing, and generating the production process model according to the step flow of production and manufacturing; and performing model integration on the obtained space model, the characteristic model and the production flow model to obtain a digital twin model, mapping the production workshop by constructing the space model, the characteristic model and the production flow model to highly reduce the production workshop, and further improving the accuracy of digital twin simulation, wherein the spatial model is constructed to completely map the pattern distribution of the production workshop, the characteristic model is constructed to reduce products and personnel in the production workshop, and the production flow model is adopted to repeatedly carve the production and manufacturing flow, so that the comprehensive state of the actual production workshop is simulated.
In this embodiment, the production parameter information is extracted from the dynamic data information, and the production parameter information includes, but is not limited to: workshop environment information, operator information and product ingredient information; and then, updating the state of the digital twin model of the production workshop according to the workshop environment information, the operator information and the product ingredient information, so that the digital twin model of the production workshop is simulated according to the operator information under the workshop environment information according to the product ingredient information, thereby generating twin data of the production workshop.
In this embodiment, when performing equipment operation analysis and production flow analysis on twin data in a production workshop, performing operation state analysis on equipment in the production workshop according to the twin data in the production workshop to obtain operation state data of the equipment, performing fault prediction on the equipment according to the operation state data of the equipment to obtain equipment fault prediction information, and performing operation state analysis on the equipment in the production workshop according to the twin data in the production workshop to realize fault prediction on the equipment, so that loss caused by equipment fault can be reduced in the production and manufacturing process, and fault avoidance can be effectively performed on the production and manufacturing process by performing fault prediction on the equipment; and analyzing the production and manufacturing process of the twin data of the production workshop according to the twin data of the production workshop, optimizing the production and manufacturing process to obtain the analysis result of the production and manufacturing process, and correspondingly obtaining a production optimization scheme according to the analysis result of the production and manufacturing process.
As shown in fig. 2, the present invention also discloses a digital twinning system and method applied to industrial production, which specifically comprises the following steps:
s1, carrying out data acquisition on a production process to acquire data information of a production workshop;
s2, constructing a digital twin model according to the data information to obtain a digital twin model of the production workshop;
s3, performing digital twinning simulation by using the digital twinning model and combining the data information to generate twinning data of a production workshop;
s4, analyzing the equipment operation and the production flow according to the twin data to obtain the prediction information of the production workshop;
and S5, controlling and managing the production process according to the prediction information.
In this embodiment, when carrying out data acquisition to the manufacturing process, carry out comprehensive data acquisition to the workshop to obtain the data information of workshop, wherein, data information includes: the dynamic data information is data which can not change in the production and manufacturing process, the dynamic data information is data which can change at any time in the production and manufacturing process, real-time information acquisition is carried out on the dynamic data during data acquisition, the static data information only needs to be acquired once during static data acquisition, the effectiveness of data acquisition can be improved, time waste caused by repeated acquisition of the static data information is avoided, or data is acquired again when the data is changed, a series of errors caused by untimely data updating are avoided, the digital twin simulation can be more consistent with the actual production and manufacturing process by acquiring the real-time information of the dynamic data information, errors of the digital twin simulation and the actual production and manufacturing process are effectively reduced, and the accuracy of the digital twin simulation is improved.
In this embodiment, the corresponding devices in the actual production line are controlled according to the predicted information simulated by the twin production shop, and the control commands include, but are not limited to, the machining operation control commands of the machine tool and the operation control commands of personnel.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (8)
1. A digital twinning system for industrial production, comprising:
the data acquisition module comprises a dynamic data information unit and a static data information unit;
a model building module; the model building module comprises a space model unit, a characteristic model unit, a production process model unit and a model integration unit;
a digital twinning module; the digital twinning module comprises an information extraction unit and a digital twinning unit;
a data analysis module; the data analysis module comprises a state analysis unit and an optimization analysis unit;
an application management module; the application management module comprises a control management unit.
2. The digital twinning system applied to industrial production as claimed in claim 1, wherein the data acquisition module is used for performing comprehensive data acquisition for a production workshop during data acquisition for a production and manufacturing process, the static data information unit is used for acquiring data which does not change in the production and manufacturing process to obtain static data information, and the dynamic data information unit is used for performing real-time dynamic data acquisition for data which changes at any time in the production and manufacturing process to obtain dynamic data information.
3. The digital twinning system applied to industrial production of claim 2, wherein the model building module builds a digital twinning model from the static data information unit, and the digital twinning model comprises a space model, a feature model and a production process model.
4. The digital twinning system applied to industrial production as claimed in claim 3, wherein the information extraction unit is configured to extract information from the dynamic data information to obtain production parameter information; and the digital twin unit is used for updating the state of the digital twin model according to the production parameter information and simulating to generate twin data.
5. The digital twin system applied to industrial production according to claim 4, wherein the state analysis unit is configured to analyze an operation state of equipment in a production workshop according to the twin data to obtain operation state data of the equipment, and perform fault prediction on the equipment according to the operation state data to obtain equipment fault prediction information; and the optimization analysis unit is used for analyzing the production and manufacturing process according to the twin data to obtain a production and manufacturing process analysis result.
6. The digital twinning system and method applied to industrial production as claimed in claim 5, characterized by comprising the following steps:
s1, carrying out data acquisition on a production process to acquire data information of a production workshop;
s2, constructing a digital twin model according to the data information to obtain a digital twin model of the production workshop;
s3, performing digital twinning simulation by using the digital twinning model and combining the data information to generate twinning data of a production workshop;
s4, analyzing the equipment operation and the production flow according to the twin data to obtain the prediction information of the production workshop;
and S5, controlling and managing the production process according to the prediction information.
7. The system and method for digital twinning applied to industrial production as claimed in claim 6, wherein the step S1 is performed by collecting data of the production process, and dividing the data into static data and dynamic data according to the collection times, wherein the static data needs to be collected periodically or in a single time, and the static data needs to be collected in real time.
8. The digital twin system and method applied to industrial production according to claim 7, wherein the control management of the production process in step S5 indirectly controls the devices mapped in the actual production plant according to the prediction information of the twin devices.
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| CN202211157189.6A CN115328068A (en) | 2022-09-22 | 2022-09-22 | Digital twinning system applied to industrial production |
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| CN202211157189.6A CN115328068A (en) | 2022-09-22 | 2022-09-22 | Digital twinning system applied to industrial production |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730401A (en) * | 2022-11-18 | 2023-03-03 | 中复连众风电科技有限公司 | Wind power blade mould parametric design system and method |
| CN115841238A (en) * | 2023-02-21 | 2023-03-24 | 山东捷瑞数字科技股份有限公司 | Raw material supervision system based on digital twins and supervision method thereof |
| CN116109217A (en) * | 2023-04-11 | 2023-05-12 | 北京埃睿迪硬科技有限公司 | Twin platform and establishment method of twin body |
| CN116300691A (en) * | 2023-05-25 | 2023-06-23 | 深圳市正和楚基科技有限公司 | State monitoring method and system for multi-axis linkage numerical control machining |
-
2022
- 2022-09-22 CN CN202211157189.6A patent/CN115328068A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115730401A (en) * | 2022-11-18 | 2023-03-03 | 中复连众风电科技有限公司 | Wind power blade mould parametric design system and method |
| CN115841238A (en) * | 2023-02-21 | 2023-03-24 | 山东捷瑞数字科技股份有限公司 | Raw material supervision system based on digital twins and supervision method thereof |
| CN116109217A (en) * | 2023-04-11 | 2023-05-12 | 北京埃睿迪硬科技有限公司 | Twin platform and establishment method of twin body |
| CN116300691A (en) * | 2023-05-25 | 2023-06-23 | 深圳市正和楚基科技有限公司 | State monitoring method and system for multi-axis linkage numerical control machining |
| CN116300691B (en) * | 2023-05-25 | 2023-08-04 | 深圳市正和楚基科技有限公司 | State monitoring method and system for multi-axis linkage numerical control machining |
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