CN115129004A - Intelligent production system and method based on edge calculation and digital twinning - Google Patents
Intelligent production system and method based on edge calculation and digital twinning Download PDFInfo
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- CN115129004A CN115129004A CN202210658676.4A CN202210658676A CN115129004A CN 115129004 A CN115129004 A CN 115129004A CN 202210658676 A CN202210658676 A CN 202210658676A CN 115129004 A CN115129004 A CN 115129004A
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- 238000005457 optimization Methods 0.000 claims abstract description 27
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000005516 engineering process Methods 0.000 claims abstract description 11
- 230000008846 dynamic interplay Effects 0.000 claims abstract description 6
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- 238000013507 mapping Methods 0.000 abstract description 5
- 230000002457 bidirectional effect Effects 0.000 abstract description 4
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- 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] or 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] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses an intelligent production system and method based on edge calculation and digital twins, which comprises an edge calculation control system and a digital twins management control system, wherein the edge calculation control system comprises an information layer, a communication layer and a physical layer; the physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology of an information layer, and provides data support for dynamic interaction, collaborative optimization and accurate decision of each unit through a communication layer. According to the production system and the production method, the digital twin association control system is arranged, real-time sensing monitoring is carried out on production coordination and resource allocation in actual production, a dynamic virtual model taking digital data as an object is generated through accurate mapping, and information online iterative operation and bidirectional optimization are realized at the initial stage of decision, so that global optimization coordination operation is achieved, dynamic interference is eliminated, and resource production is reasonably allocated.
Description
Technical Field
The invention belongs to the technical field of intelligent production, and particularly relates to an intelligent production system and method based on edge calculation and digital twinning.
Background
The textile industry is the backbone industry of national economy of China and the important civilian industry, with the continuous promotion of factory automation and informatization construction, the technologies of industrial internet, big data, information Physical Systems (CPS), Digital Twin (also called Digital mapping, Digital mirror image and the like, Digital Twin), Digital main line and the like continuously appear and are rapidly integrated into the production of the textile industry, and the deployment and the application of various automatic Systems and informatization Systems lead the workshop management as the production of products to be more and more important, the workload is more and more heavy, the requirement on cooperative work is higher and higher, and the requirements on safety, availability, operation and maintenance management and the like are higher and higher.
At present, the production workshop management adopts modular production, a complex cooperation system is formed by a plurality of production units and logistics units, but in the traditional modular production operation process, each unit is operated independently, coordination operation cannot be realized from the perspective of global optimization, so that various adverse interferences such as resources, quality and the like are caused, and the production efficiency is influenced.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an intelligent production system and a method based on edge calculation and digital twins, which comprises an edge calculation control system and a digital twins management control system, wherein the edge calculation control system comprises an information layer, a communication layer and a physical layer, and the digital twins management control system comprises a digital manufacturing device and a digital twins management control layer; the physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology of an information layer, and provides data support for dynamic interaction, collaborative optimization and accurate decision of each unit through a communication layer. According to the production system and the production method, the digital twin association control system is arranged, real-time sensing monitoring is carried out on production coordination and resource allocation in actual production, a dynamic virtual model taking digital data as an object is generated through accurate mapping, and information online iterative operation and bidirectional optimization are realized at the initial stage of decision, so that global optimization coordination operation is achieved, dynamic interference is eliminated, and resource production is reasonably allocated.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
an intelligent production system based on edge calculation and digital twinning comprises an edge calculation control system and a digital twinning management control system; the edge computing control system comprises an information layer, a communication layer and a physical layer, and the digital twin management control system comprises a digital manufacturing device and a digital twin management control layer;
the information layer comprises data perception and data calculation; the data perception comprises the weight, output speed, input speed and uniformity data acquisition of a produced product; the data calculation refers to processing analysis, classification clustering, mining reasoning and backtracking optimization of data perception;
the communication layer adopts industrial internet technology, including RFID, Tag, WiFi and ZigBee; the communication layer also comprises an RFID label, an RFID reader and a GPS positioning device;
the physical layer comprises production equipment of an execution unit, a PLC controller and a sensor, wherein the PLC controller is used for intelligently controlling the production equipment; the sensor comprises a mass sensor and a speed sensor;
the physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology, and provides data support for dynamic interaction, collaborative optimization and accurate decision making of the information layer through the communication layer;
the digital twin management control layer comprises a virtual model, a virtual image and virtual simulation, and the dynamic linkage simulation of the digital manufacturing equipment synchronous with the physical layer is established in the information world through the virtual model, the virtual image and the virtual simulation respectively on the basis of application service and through dynamic coordination, optimization and calculation;
the edge calculation control system provides support for the digital twin management control layer, so that the digital twin management control layer can realize online linkage decision.
An intelligent production method based on edge calculation and digital twinning, comprising the following steps:
step 1: in the initial order management period, after a product order is completed through application service and network equipment service, dividing production module units, and performing linkage decision operation on each module unit;
step 2: in the planning optimization period, due to the change of market demands, the operation condition of each production module unit is adjusted, the operation plan of each association link is optimized, and dynamic interference is eliminated to achieve optimal operation;
and step 3: and (3) dynamically coordinating and controlling, acquiring personnel, materials, equipment, processes and environments of the execution unit by using a digital twin management system, virtually forming real-time data of the whole production flow, repeatedly optimizing and generating an optimal operation plan, and guiding practical production activities.
The invention has the following beneficial effects:
1. the invention relates to an intelligent production system and a method based on edge calculation and digital twins, which are characterized in that a digital twins correlation control system is arranged to perform real-time perception monitoring on production coordination and resource allocation in actual production, a dynamic virtual model taking digital data as an object is generated through accurate mapping, and information online iterative operation and bidirectional optimization are realized at the initial stage of decision, so that global optimization coordination operation is realized, dynamic interference is eliminated, and resource production is reasonably configured.
2. The intelligent production system and method based on edge calculation and digital twins improve the real-time feedback of dynamic information by arranging the edge calculation control system, so that various production module units, resource allocation, operation plans and operation modes can be coordinated and consistent in multiple aspects, the physical simulation stack creation of the digital twins is met, the bad interference from the production management in multiple aspects is eliminated, and the efficient operation of production is ensured.
Drawings
FIG. 1 is a schematic diagram of an intelligent edge-computing and digital twinning based production system and method according to the present invention;
FIG. 2 is a flow chart of the intelligent production system and method based on edge calculation and digital twinning proposed by the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
An intelligent production system based on edge calculation and digital twinning comprises an edge calculation control system and a digital twinning management control system; the edge computing control system comprises an information layer, a communication layer and a physical layer, and the digital twin management control system comprises a digital manufacturing device and a digital twin management control layer;
the information layer comprises data perception and data calculation; the data perception comprises the weight, the output speed, the input speed and the uniformity data acquisition of a produced product; the data calculation refers to processing analysis, classification clustering, mining reasoning and backtracking optimization of data perception;
the communication layer adopts industrial internet technology, including RFID, Tag, WiFi and ZigBee; the communication layer also comprises an RFID label, an RFID reader and a GPS positioning device;
the physical layer comprises production equipment of an execution unit, a PLC controller and a sensor, wherein the PLC controller is used for intelligently controlling the production equipment; the sensor comprises a mass sensor and a speed sensor;
the physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology, and provides data support for dynamic interaction, collaborative optimization and accurate decision making of the information layer through the communication layer;
the digital twin management control layer comprises a virtual model, a virtual image and virtual simulation, and the dynamic linkage simulation of the digital manufacturing equipment synchronous with the physical layer is established in the information world through the virtual model, the virtual image and the virtual simulation respectively on the basis of application service and through dynamic coordination, optimization and calculation;
the edge calculation control system provides support for the digital twin management control layer, so that the digital twin management control layer can realize online linkage decision.
The digital twin management control layer supports online linkage decision of linkage operation through accurate virtual mapping of a physical layer and dynamic virtual simulation of a digital object, under the drive of production execution data acquired in real time, the full production process is accurately mapped based on an environment model, a relation model and an object model multi-scale operation model, actual operation conditions of the physical layer are presented in an information world in real time, accurate comprehensive operation effect judgment is made for a production system, and a linkage decision strategy is continuously iterated and optimized based on a linkage model to support the online linkage decision of production operation.
An intelligent production method based on edge calculation and digital twinning, comprising the following steps:
step 1: in the initial order management period, after a product order is finished through application service and network equipment service, dividing production module units, and performing linkage decision operation on each module unit;
and 2, step: in the planning optimization period, due to the change of market demands, the operation condition of each production module unit is adjusted, the operation plan of each association link is optimized, and dynamic interference is eliminated to achieve optimal operation;
and step 3: and (3) dynamically coordinating and controlling, acquiring personnel, materials, equipment, processes and environments of the execution unit by using a digital twin management system, virtually forming real-time data of the whole production flow, repeatedly optimizing and generating an optimal operation plan, and guiding practical production activities.
The specific embodiment is as follows:
referring to fig. 1-2, the intelligent production system and method based on edge calculation and digital twins comprises an edge calculation control system and a digital twins management control system, wherein the edge calculation control system comprises an information layer, a communication layer and a physical layer, the information layer comprises data perception and data calculation, the data perception is divided into weight, output speed, input speed and uniformity data acquisition of a produced product, and the data calculation refers to reasoning analysis, classification clustering, mining and backtracking optimization of the data perception.
The system comprises a material layer, a communication layer and a data processing layer, wherein the material layer is a hardware resource and comprises production equipment of an execution unit, a PLC (programmable logic controller) and a sensor, the PLC and the sensor are used for intelligently controlling the production equipment, the sensor comprises a quality sensor and a speed sensor, the hardware resource further comprises an RFID (radio frequency identification device) Tag, an RFID reader and a GPS (global positioning system) positioning device, the communication layer is used for sensing multi-source data in real time in the whole production process by adopting an industrial internet technology comprising RFID, Tag, WiFi and ZigHee and using the RFID Tag, the RFID reader, the GPS positioning device and the sensor.
The digital twin management control system comprises digital manufacturing equipment and a digital twin management control layer, wherein the digital twin management control layer comprises a virtual model, a virtual image and virtual simulation, and dynamic linkage simulation synchronous with a physical layer is built in an information world through the virtual model, the virtual image and the virtual simulation and through dynamic coordination, optimization and calculation on the basis of application services.
The physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology of an information layer, and provides data support for dynamic interaction, collaborative optimization and accurate decision of each unit through a communication layer.
The digital twin management control layer supports online linkage decision of linkage operation through accurate virtual mapping of a physical layer and dynamic virtual simulation of a digital object, under the drive of production execution data acquired in real time, the full production process is accurately mapped based on an environment model, a relation model and an object model multi-scale operation model, actual operation conditions of the physical layer are presented in an information world in real time, accurate comprehensive operation effect judgment is made for a production system, and a linkage decision strategy is continuously iterated and optimized based on a linkage model to support the online linkage decision of production operation.
In this embodiment, a method for intelligent production based on edge calculation and digital twinning is also provided, which includes the following specific steps:
step one, in an initial order management period, after a product order is completed through application service and network equipment service, analyzing and judging the states of equipment and resources, dividing production module units, and performing linkage decision operation on each module unit;
step two, planning an optimization period again, adjusting the operation condition of each production module unit due to the convenience of a complex dynamic production operation environment caused by market demand change, optimizing the operation plan of each associated link, and eliminating dynamic interference to achieve optimal operation;
and step three, dynamically coordinating and controlling, acquiring personnel, materials, equipment, processes and environments of the execution units by using a digital twin management system, virtually forming real-time data of the whole production flow, repeatedly optimizing to generate an optimal operation plan, and guiding practical production activities.
The real-time feedback of dynamic information is improved by arranging an edge calculation control system, so that various production module units, resource allocation, operation plans and operation modes can be coordinated and consistent in multiple aspects, the physical simulation stack establishment of digital twins is met, the adverse interference from multiple aspects of production management is eliminated, the efficient operation of production is ensured, the digital twins association control system carries out real-time sensing monitoring on production coordination and resource allocation in actual production, a dynamic virtual model taking digital data as an object is generated by accurate mapping, and the online iterative operation and bidirectional optimization of information are realized at the initial stage of decision, so that the global optimization coordination operation is achieved, the dynamic interference is eliminated, and the resource production is reasonably configured.
Claims (2)
1. An intelligent production system based on edge calculation and digital twinning is characterized by comprising an edge calculation control system and a digital twinning management control system; the edge computing control system comprises an information layer, a communication layer and a physical layer, and the digital twin management control system comprises a digital manufacturing device and a digital twin management control layer;
the information layer comprises data perception and data calculation; the data perception comprises the weight, output speed, input speed and uniformity data acquisition of a produced product; the data calculation refers to processing analysis, classification clustering, mining reasoning and backtracking optimization of data perception;
the communication layer adopts industrial internet technology, including RFID, Tag, WiFi and ZigBee; the communication layer also comprises an RFID label, an RFID reader and a GPS positioning device;
the physical layer comprises production equipment of an execution unit, a PLC controller for intelligently controlling the production equipment and a sensor; the sensor comprises a mass sensor and a speed sensor;
the physical layer senses multi-source heterogeneous data generated by a full flow of modularized production in real time by using an intelligent sensing technology, and provides data support for dynamic interaction, cooperative optimization and accurate decision of an information layer through a communication layer;
the digital twin management control layer comprises a virtual model, a virtual image and virtual simulation, and the dynamic linkage simulation of the digital manufacturing equipment synchronous with the physical layer is established in the information world through the virtual model, the virtual image and the virtual simulation respectively on the basis of application service and through dynamic coordination, optimization and calculation;
the edge calculation control system provides support for the digital twin management control layer, so that the digital twin management control layer can realize online linkage decision.
2. A production method for the intelligent production system of claim 1, comprising the steps of:
step 1: in the initial order management period, after a product order is finished through application service and network equipment service, dividing production module units, and performing linkage decision operation on each module unit;
step 2: in the planning optimization period, due to the change of market demands, the operation condition of each production module unit is adjusted, the operation plan of each association link is optimized, and dynamic interference is eliminated to achieve optimal operation;
and step 3: and (3) dynamically coordinating and controlling, acquiring personnel, materials, equipment, processes and environments of an execution unit by using a digital twin management system, virtually forming real-time data of the whole production flow, repeatedly optimizing and generating an optimal operation plan, and guiding practical production activities.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115494796A (en) * | 2022-11-18 | 2022-12-20 | 北京航空航天大学 | Edge cloud collaborative digital twin system based on STEP-NC |
| CN115933537A (en) * | 2022-12-11 | 2023-04-07 | 西北工业大学 | Multi-level cognitive model of digit control machine tool |
| CN117172641A (en) * | 2023-10-13 | 2023-12-05 | 暨南大学 | Production logistics management platform based on block chain and digital twin and implementation method |
| CN117332961A (en) * | 2023-10-08 | 2024-01-02 | 珠海飞企耀点科技有限公司 | Intelligent laboratory management system |
| CN117973634A (en) * | 2024-03-27 | 2024-05-03 | 无锡云数工业技术有限公司 | Manufacturing operation management optimization control method and system |
| CN117973634B (en) * | 2024-03-27 | 2024-05-31 | 无锡云数工业技术有限公司 | Manufacturing operation management optimization control method and system |
-
2022
- 2022-06-12 CN CN202210658676.4A patent/CN115129004A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115494796A (en) * | 2022-11-18 | 2022-12-20 | 北京航空航天大学 | Edge cloud collaborative digital twin system based on STEP-NC |
| CN115494796B (en) * | 2022-11-18 | 2023-03-03 | 北京航空航天大学 | Edge cloud collaborative digital twin system based on STEP-NC |
| CN115933537A (en) * | 2022-12-11 | 2023-04-07 | 西北工业大学 | Multi-level cognitive model of digit control machine tool |
| CN117332961A (en) * | 2023-10-08 | 2024-01-02 | 珠海飞企耀点科技有限公司 | Intelligent laboratory management system |
| CN117172641A (en) * | 2023-10-13 | 2023-12-05 | 暨南大学 | Production logistics management platform based on block chain and digital twin and implementation method |
| CN117973634A (en) * | 2024-03-27 | 2024-05-03 | 无锡云数工业技术有限公司 | Manufacturing operation management optimization control method and system |
| CN117973634B (en) * | 2024-03-27 | 2024-05-31 | 无锡云数工业技术有限公司 | Manufacturing operation management optimization control method and system |
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