CN116560316A - 3D digital twin modeling method - Google Patents
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- CN116560316A CN116560316A CN202310525038.XA CN202310525038A CN116560316A CN 116560316 A CN116560316 A CN 116560316A CN 202310525038 A CN202310525038 A CN 202310525038A CN 116560316 A CN116560316 A CN 116560316A
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000007726 management method Methods 0.000 claims abstract description 28
- 238000003070 Statistical process control Methods 0.000 claims abstract description 24
- 238000004519 manufacturing process Methods 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims abstract description 21
- 230000008569 process Effects 0.000 claims abstract description 18
- 230000003993 interaction Effects 0.000 claims abstract description 13
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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] 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
- 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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- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention provides a 3D digital twin modeling method, which comprises the following steps: the method comprises the steps of obtaining a factory layout, dividing the factory layout into a plurality of areas, obtaining real parameters of equipment on site, presenting different states of the equipment through Socket interaction real-time information, displaying real-time dynamics of AGVs and OHTCs in the factory through animation technology and Socket interaction, directly monitoring production states of entity factories, and displaying production scheduling conditions of workshops. The invention can improve the restoration of virtual scenes in the digital twin process, integrally simulate the visual factory situation, optimize the data display monotonous, combine the chart data diversified data display, increase interactive animation, simulate AGV and OHTC in real time, acquire the data of an EAP equipment automation system, an RTD real-time dispatching control system, a YMS yield management analysis system, an SPC statistical process control system and a WMS warehouse management system, and perform display and calling, thereby being capable of performing multi-scene application fields.
Description
Technical Field
The invention relates to the field of digital twinning, in particular to a 3D digital twinning modeling method.
Background
Digital twinning technology is one of the fastest growing directions of industry 4.0. Basically, digital twinning is an analog copy of a real object that is run in an analog environment to measure its function and efficiency. Digital twinning can be studied in depth by using big data, internet of things and artificial intelligence frameworks. This is helpful in finding major obstacles, minimizing interference and assessing market opportunities, modeling potential outcomes, and custom development according to customer needs. In the field of production and manufacturing, a virtual factory is built on a computer by digital twin while an entity factory is built, and each workshop, each production line, each equipment and each production action of the entity factory are mapped on the virtual factory. In the production process, the production state of the entity factory is monitored in real time through digital twinning, the production bottleneck is found in time, and the workshop production scheduling is optimized, so that the production efficiency and the management and control level of the factory are improved. An intelligent plant based on digital twinning will become an important development trend of future plants.
The prior art has more defects and shortcomings, wherein the virtual scene has lower reducibility, the data display is monotonous, and the lack of interactive animation seriously affects the using experience.
Disclosure of Invention
The invention aims to provide a 3D digital twin modeling method which improves the reducibility of a virtual scene, optimizes the monotone of data display and increases interactive animation.
In order to achieve the above purpose, the present invention proposes the following technical scheme: a 3D digital twin modeling method comprising the following process:
the method comprises the steps of obtaining a factory layout, dividing the factory layout into a plurality of areas according to functions in the factory layout, dividing the factory layout into a raw material supply area, a product processing area, an inventory sales area and an administrative area, establishing a plurality of modules in the areas, wherein each module corresponds to corresponding equipment, obtaining real parameters of the equipment through a site, wherein the parameters comprise appearance, action, proportion and production data of the equipment, providing real reference data for modeling of a later digital twin platform, determining the model of the equipment and a corresponding data transmission format, obtaining a real-time interaction mode with the equipment, testing and verifying the interaction feasibility, preparing an MCS (modulation and coding scheme) system for subsequent synchronization to serve as an intermediate server, uniformly transmitting signals, and scheduling the equipment to operate;
different states of equipment are presented through Socket interaction real-time information, when the equipment is in different states, signals are uploaded to MCS through PLC or SECS, the MCS converts the signals and stores the signals into a database, then the MCS synchronously outputs the converted states to a digital twin platform, the digital twin platform comprises a 3D billboard system, the actual states of the equipment can be seen on the digital twin platform in real time, the same equipment processing data can be synchronously obtained, the product information and corresponding processing time information of the current equipment processing can be seen, corresponding charts are drawn through an Echars component, and the charts comprise WIP charts, productivity charts, yield charts and equipment state charts;
through animation technique and Socket interaction, the real-time dynamic of AGV, OHTC in the show mill to the production state of substantive mill is monitored to the substantivity, and the production scheduling condition in show shop contains following scene: the method comprises the steps that a work order is taken off, MCS generates a plurality of tasks according to the work order, each task generates a plurality of instructions, MCS carries out instruction issuing according to instruction sequence, meanwhile, the equipment and digital twin operate synchronously, after receiving the instructions, the equipment executes the instructions, uncontrollable factors can appear in the execution process to cause stopping, at the moment, the equipment can report a state command to the MCS, the MCS resynchronizes to the digital twin, the digital twin can stop the current instructions in time and wait for instruction recovery, after the equipment finishes processing, the equipment can send an instruction completion signal to the MCS, after receiving the signals, the MCS generates new tasks and instructions through service logic processing, and continues to issue the instructions to the equipment and the digital twin.
Further, in the invention, the digital twin platform acquires EAP equipment automation system data and displays the data, the EAP equipment automation system supports SECS/GEM, HSMS, OPCUA and Modbus main stream communication protocol, WIP posting management, full-flow material tracking, data binding and equipment control functions, and Run to Run, EQ to EQ, strip Mapping and Wafer Mapping functions.
Furthermore, in the invention, the digital twin platform acquires RTD real-time dispatching control system data and displays the data, the RTD can perform real-time and high-performance dispatching, WIP is distributed through the rules of 'what's next 'and' what 'next' so as to realize the load balance of the equipment, and the data comprises dispatching flow data, transmission information setting data, rule setting data and instruction monitoring data.
Further, in the invention, the digital twin platform acquires YMS yield management analysis system data and displays the data, the YMS yield management analysis system establishes an analysis flow and a model in a visual dragging mode, a plurality of open-box inspection, analysis and regression statistical analysis models are built in, the statistical analysis models are based on R language, a CP/FT process data analysis model is built in, a CPmap and a Map overlay analysis are provided for a Histone/Trend/Perato/Plot multidimensional analysis chart, and an MPP distributed big data architecture and Spark cluster are adopted to support PB level data storage, a database and a plurality of data sources of files and a semiconductor standard STDF file.
Furthermore, in the invention, the digital twin platform acquires SPC statistical process control system data and displays the data, the SPC statistical process control system is a statistical process control system based on a BS framework, a tool for performing process control by means of a mathematical statistical method discovers abnormal symptoms by analyzing the process data and eliminates the influence by measures, the purposes of optimizing a process and controlling quality are achieved, a counting type and a metering type SPC control chart are supported, and measures such as sending alarm mail, hold Lot and Hold equipment can be taken for the abnormality.
Further, in the invention, the digital twin platform acquires and displays the data of the WMS warehouse management system, the WMS warehouse management system confirms the specific position of a real object through physical space, warehouse space, area, storage position, multi-dimension of a goods shelf and angles, and realizes material layering and category division through material number, batch and box number multi-level material management and control, so that the WMS warehouse management system can be in butt joint with ERP, MES, OA, EPM, WCS multiple systems.
The beneficial effect, the technical scheme of this application possesses following technical effect: the invention can improve the restoration of virtual scenes in the digital twin process, integrally simulate the visual factory situation, optimize the data display monotonous, combine the chart data diversified data display, increase interactive animation, simulate AGV and OHTC in real time, acquire the data of an EAP equipment automation system, an RTD real-time dispatching control system, a YMS yield management analysis system, an SPC statistical process control system and a WMS warehouse management system, and perform display and calling, thereby being capable of performing multi-scene application fields.
It should be understood that all combinations of the foregoing concepts, as well as additional concepts described in more detail below, may be considered a part of the inventive subject matter of the present disclosure as long as such concepts are not mutually inconsistent.
The foregoing and other aspects, embodiments, and features of the present teachings will be more fully understood from the following description, taken together with the accompanying drawings. Other additional aspects of the invention, such as features and/or advantages of the exemplary embodiments, will be apparent from the description which follows, or may be learned by practice of the embodiments according to the teachings of the invention.
Drawings
The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of the present invention.
FIG. 2 is a schematic diagram of a system module according to the present invention.
FIG. 3 is a schematic diagram of a digital twin platform according to the present invention.
FIG. 4 is a schematic diagram of an intelligent factory of the present invention.
Detailed Description
For a better understanding of the technical content of the present invention, specific examples are set forth below, along with the accompanying drawings. Aspects of the invention are described in this disclosure with reference to the drawings, in which are shown a number of illustrative embodiments. The embodiments of the present disclosure need not be defined to include all aspects of the present invention. It should be understood that the various concepts and embodiments described above, as well as those described in more detail below, may be implemented in any of a number of ways, as the disclosed concepts and embodiments are not limited to any implementation. Additionally, some aspects of the disclosure may be used alone or in any suitable combination with other aspects of the disclosure.
Example 1
Taking a factory sand table as an example, the embodiment mainly demonstrates a whole process of work order opening, raw material warehouse entry, original discharging, raw material handling, raw material processing, finished product detection and finished product warehouse entry as shown in fig. 3.
The whole system comprises three software systems of an MES, an MCS and a 3D billboard and a set of sand table hardware equipment, models the environment and equipment of a factory through a digital twin platform, and observes the data of the factory, the appearance, the action, the proportion, the running track parameters and the like of the recording equipment. The data source is to actually measure according to the product certificate of the equipment, track and observe the door opening and closing, rotation and movement track of the equipment, record and generate a form document, record and generate parameters of each equipment in detail, obtain the real parameters of the equipment through the site, the parameters comprise the appearance, action, proportion and production data of the equipment, provide real reference data for modeling of a later digital twin platform, determine the model of the equipment and the corresponding data transmission format, obtain the real-time interaction mode with the equipment, test and verify the feasibility of interaction, prepare and erect an MCS (modulation and coding scheme) system as an intermediate server for the subsequent synchronization, uniformly send signals and schedule the equipment to operate.
And (5) loading and unloading worksheets on the MES system and issuing the worksheets to the MCS system. The MCS system generates tasks, then the MCS system generates related instructions according to the tasks, and then the related instructions are respectively issued to the hardware equipment and the 3D billboard system according to the instruction sequence. The hardware device and the 3D billboard system execute corresponding operations according to the instructions to achieve the effect of synchronous presentation, the hardware device finishes executing the instructions and feeds back the state to the MCS system, the MCS generates the next instruction according to the feedback information of the device and sends the next instruction to the hardware device and the 3D billboard system again. In operation, abnormal conditions occur, the hardware equipment can send abnormal information to the MCS, after the MCS receives feedback, the MCS can send a pause instruction to the 3D billboard system, the 3D billboard system can stop the current instruction and wait for the instruction to resume.
Meanwhile, the operation data, the processing data and the detection data are reported in the system operation process and recorded in a database. The MES system integrates the data sets to generate report data, including WIP reports, productivity reports, equipment state reports and the like, and the report data is sent to the 3D billboard system through an interface and is presented on the interface in real time through the ECharts component.
Through animation technology and Socket interaction, the real-time dynamics of AGVs, OHTCs in the display factory are used for directly monitoring the production state of the entity factory and displaying the production scheduling condition of the workshop.
Example 2
Taking a semiconductor factory board as an example, fig. 4 mainly monitors the semiconductor manufacturing process flow and presents some summarized data in real-time production so as to find and correct problems in time.
And modeling the factory environment and equipment through a digital twin platform, observing the factory, and recording the data such as appearance, action, proportion, running track parameters and the like of the equipment. The data source is to track and observe the door opening and closing, rotation and movement track of the equipment according to the product certificate of the equipment, record and generate a form document, and record the parameters of each equipment in detail. The number of semiconductor factories is relatively large, and the model needs to be subjected to some optimization processing, surface reduction, texture reduction and the like.
And (5) loading and unloading the work orders on the MES system, generating tasks by the MES, and issuing the tasks to the MCS system. And then the MCS system generates related instructions according to the tasks and then respectively transmits the instructions to the hardware equipment and the 3D billboard system according to the instruction sequence.
The signboard system is communicated with the MES system and the PLC hardware equipment. When a problem occurs, red alarm information can appear on corresponding equipment on the billboard system, an actual problem can appear after clicking, and personnel in a control center can timely control the whole world to judge whether the problem is urgent or needs immediate processing so as to inform corresponding actual personnel.
Meanwhile, the operation data, the processing data, the error reporting data and the detection data are reported in the system operation process and recorded in a database. The MES system integrates the data sets to generate report data, including WIP reports, productivity reports, equipment state reports and the like, and the report data is sent to the 3D billboard system through an interface and is presented on the interface in real time through the ECharts component.
The digital twin platform acquires EAP equipment automation system data and displays the data, the EAP equipment automation system supports SECS/GEM, HSMS, OPCUA and Modbus main stream communication protocols, WIP posting management, full-flow material tracking, data binding and equipment control functions, and Run to Run, EQ to EQ, strip Mapping and Wafer Mapping functions.
The digital twin platform acquires RTD real-time dispatching control system data and displays the data, the RTD can perform real-time and high-performance dispatching, WIP is distributed through the rules of 'what's next 'and' what 'next' so as to realize the load balance of equipment, and the data comprises dispatching flow data, transmission information setting data, rule setting data and instruction monitoring data.
The digital twin platform acquires YMS yield management analysis system data and displays the data, the YMS yield management analysis system establishes an analysis flow and a model in a visual dragging mode, a plurality of out-of-box inspection, analysis and regression statistical analysis models are built in, the statistical analysis models are based on R language, a CP/FT process data analysis model is built in, a CP Map/Trend/Perato/Plot multidimensional analysis chart is provided, CP Map and overlay analysis is provided, an MPP distributed big data architecture and Spark clusters are adopted, PB data storage is supported, a plurality of data sources of a database and a file are supported, and a semiconductor standard STDF file is supported.
The digital twin platform acquires SPC statistical process control system data and displays the data, the SPC statistical process control system is a statistical process control system based on a BS architecture, a tool for performing process control by means of a mathematical statistical method discovers abnormal symptoms by analyzing the process data and eliminates the influence by measures, the purposes of optimizing a process and managing and controlling quality are achieved, a count type and a metering type SPC control chart are supported, and measures such as sending alarm mail, hold Lot and Hold equipment can be taken for the abnormality.
The digital twin platform acquires and displays the data of the WMS warehouse management system, the WMS warehouse management system confirms the specific position of a real object through physical space, warehouse space, area, storage position, multi-dimension of a goods shelf and angle, and realizes material layering and category division through material number, batch and box number multi-level material management and control, so that the WMS warehouse management system can be in butt joint with ERP, MES, OA, EPM, WCS multiple systems.
The invention can improve the restoration of virtual scenes in the digital twin process, integrally simulate the visual factory situation, optimize the data display monotonous, combine the chart data diversified data display, increase interactive animation, simulate AGV and OHTC in real time, acquire the data of an EAP equipment automation system, an RTD real-time dispatching control system, a YMS yield management analysis system, an SPC statistical process control system and a WMS warehouse management system, and perform display and calling, thereby being capable of performing multi-scene application fields.
While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Those skilled in the art will appreciate that various modifications and adaptations can be made without departing from the spirit and scope of the present invention. Accordingly, the scope of the invention is defined by the appended claims.
Claims (6)
1. The 3D digital twin modeling method is characterized in that: the method comprises the following steps:
the method comprises the steps of obtaining a factory layout, dividing the factory layout into a plurality of areas according to functions in the factory layout, dividing the factory layout into a raw material supply area, a product processing area, an inventory sales area and an administrative area, establishing a plurality of modules in the areas, wherein each module corresponds to corresponding equipment, obtaining real parameters of the equipment through a site, wherein the parameters comprise appearance, action, proportion and production data of the equipment, providing real reference data for modeling of a later digital twin platform, determining the model of the equipment and a corresponding data transmission format, obtaining a real-time interaction mode with the equipment, testing and verifying the interaction feasibility, preparing an MCS (modulation and coding scheme) system for subsequent synchronization to serve as an intermediate server, uniformly transmitting signals, and scheduling the equipment to operate;
different states of equipment are presented through Socket interaction real-time information, when the equipment is in different states, signals are uploaded to MCS through PLC or SECS, the MCS converts the signals and stores the signals into a database, then the MCS synchronously outputs the converted states to a digital twin platform, the digital twin platform comprises a 3D billboard system, the actual states of the equipment can be seen on the digital twin platform in real time, the same equipment processing data can be synchronously obtained, the product information and corresponding processing time information of the current equipment processing can be seen, corresponding charts are drawn through an Echars component, and the charts comprise WIP charts, productivity charts, yield charts and equipment state charts;
through animation technique and Socket interaction, the real-time dynamic of AGV, OHTC in the show mill to the production state of substantive mill is monitored to the substantivity, and the production scheduling condition in show shop contains following scene: the method comprises the steps that a work order is taken off, MCS generates a plurality of tasks according to the work order, each task generates a plurality of instructions, MCS carries out instruction issuing according to instruction sequence, meanwhile, the equipment and digital twin operate synchronously, after receiving the instructions, the equipment executes the instructions, uncontrollable factors can appear in the execution process to cause stopping, at the moment, the equipment can report a state command to the MCS, the MCS resynchronizes to the digital twin, the digital twin can stop the current instructions in time and wait for instruction recovery, after the equipment finishes processing, the equipment can send an instruction completion signal to the MCS, after receiving the signals, the MCS generates new tasks and instructions through service logic processing, and continues to issue the instructions to the equipment and the digital twin.
2. A 3D digital twin modeling method as defined in claim 1 wherein: the digital twin platform acquires EAP equipment automation system data and displays the data, the EAP equipment automation system supports SECS/GEM, HSMS, OPCUA and Modbus main stream communication protocols, WIP posting management, full-flow material tracking, data binding and equipment control functions, and Run to Run, EQ to EQ, strip Mapping and Wafer Mapping functions.
3. A 3D digital twin modeling method as defined in claim 1 wherein: the digital twin platform acquires RTD real-time dispatching control system data and displays the data, the RTD can perform real-time and high-performance dispatching, WIP is distributed through the rules of 'what's next 'and' what 'next' so as to realize the load balance of equipment, and the data comprises dispatching flow data, transmission information setting data, rule setting data and instruction monitoring data.
4. A 3D digital twin modeling method as defined in claim 1 wherein: the digital twin platform acquires YMS yield management analysis system data and displays the data, the YMS yield management analysis system establishes an analysis flow and a model in a visual dragging mode, a plurality of out-of-box inspection, analysis and regression statistical analysis models are built in, the statistical analysis models are based on R language, a CP/FT process data analysis model is built in, a CP Map/Trend/Perato/Plot multidimensional analysis chart is provided, CP Map and overlay analysis is provided, an MPP distributed big data architecture and Spark clusters are adopted, PB data storage is supported, a plurality of data sources of a database and a file are supported, and a semiconductor standard STDF file is supported.
5. A 3D digital twin modeling method as defined in claim 1 wherein: the digital twin platform acquires SPC statistical process control system data and displays the data, the SPC statistical process control system is a statistical process control system based on a BS architecture, a tool for performing process control by means of a mathematical statistical method discovers abnormal symptoms by analyzing the process data and eliminates the influence by measures, the purposes of optimizing a process and managing and controlling quality are achieved, a count type and a metering type SPC control chart are supported, and measures such as sending alarm mail, hold Lot and Hold equipment can be taken for the abnormality.
6. A 3D digital twin modeling method as defined in claim 1 wherein: the digital twin platform acquires and displays the data of the WMS warehouse management system, the WMS warehouse management system confirms the specific position of a real object through physical space, warehouse space, area, storage position, multi-dimension of a goods shelf and angle, and realizes material layering and category division through material number, batch and box number multi-level material management and control, so that the WMS warehouse management system can be in butt joint with ERP, MES, OA, EPM, WCS multiple systems.
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CN117236822A (en) * | 2023-11-10 | 2023-12-15 | 合肥晶合集成电路股份有限公司 | Intelligent goods delivery method, device, equipment and medium |
CN117236822B (en) * | 2023-11-10 | 2024-01-30 | 合肥晶合集成电路股份有限公司 | Intelligent goods delivery method, device, equipment and medium |
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