CN109343496A - Applied to industrial digital twinned system and forming method thereof - Google Patents
Applied to industrial digital twinned system and forming method thereof Download PDFInfo
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- CN109343496A CN109343496A CN201811353158.1A CN201811353158A CN109343496A CN 109343496 A CN109343496 A CN 109343496A CN 201811353158 A CN201811353158 A CN 201811353158A CN 109343496 A CN109343496 A CN 109343496A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004519 manufacturing process Methods 0.000 claims abstract description 61
- 238000005457 optimization Methods 0.000 claims abstract description 15
- 238000013480 data collection Methods 0.000 claims abstract description 13
- 230000008569 process Effects 0.000 claims description 19
- 238000012423 maintenance Methods 0.000 claims description 18
- 238000013461 design Methods 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 11
- 238000004088 simulation Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 7
- 238000013499 data model Methods 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 206010054949 Metaplasia Diseases 0.000 claims description 4
- 238000013178 mathematical model Methods 0.000 claims description 4
- 230000015689 metaplastic ossification Effects 0.000 claims description 4
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims description 2
- 238000012544 monitoring process Methods 0.000 abstract description 10
- 238000005516 engineering process Methods 0.000 description 6
- 229910021642 ultra pure water Inorganic materials 0.000 description 6
- 239000012498 ultrapure water Substances 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000005183 dynamical system Methods 0.000 description 4
- 230000008447 perception Effects 0.000 description 3
- 238000009776 industrial production Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
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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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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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
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Abstract
The invention discloses one kind to be applied to industrial digital twinned system and forming method thereof, wherein the industrial digital twinned system that is applied to is based on industrialized Intelligent Production System and is arranged, including sequentially connected physical entity layer, data collection layer, digital twin and its information model layer, process optimization layer, and process optimization layer also connects physics physical layer by feedback control, forms closed loop.The present invention can carry out more intelligentized control to production, the monitoring and prediction management system suitable for all productions and factory service system (production equipment, production line) and working service.
Description
Technical field
The invention belongs to intelligence manufacture fields, are related to a kind of digital twinned system, specifically a kind of to be applied to industry
Digital twinned system of production and forming method thereof.
Background technique
The twin technique functions of number are derived from National Aeronautics and Space Administration in Apollo project to the mirror image of aircraft, and are flying
It is applied in condition monitoring.General Electric Co. Limited implements the twin body of number in its cloud platform, advanced using big data, Internet of Things etc.
Technology realizes the real time monitoring to engine, in time inspection and predictive maintenance.
The twin technology of number applied to industrialized production can get through the techniqueflow of research and development to production, and being capable of benefit
Unknown field and design are emulated with dummy model, the security risk that can also be generated to avoid implementation directly in production.Together
When, the twin body of number is that information physical network CPS is implemented and the technological means of development, by the intelligence to manufacture course of products
Intelligence with product itself combines.Enable physical product production and processing and operating status it is anti-precisely in real time
It reflects in Virtual Space, realizes the two-way flow of information, product manufacturing is accurately controlled using the feedback mechanism of information
Become.The twin simulation of number is contacted with knowledge base, forms analysis and decision as a result, instructing actual production.Therefore number is twin
Technology is very important applied to industrial production.
But since the twin technology of number is still immature, it is mainly used in product design, in terms of production system and workshop
Using less.Therefore, how the twin technology of number to be applied in actual industrial production, becomes the direction of prior art research.
Summary of the invention
It is existing in the prior art above insufficient to solve, the present invention is intended to provide a kind of be applied to industrial number
Twinned system realizes the intelligence of industrialized production to enable it that can promote industrialized production.
The present invention also provides one such application in the digital twinned system of industrialized production and the mapping of production system
Method.
To achieve the above object, the technical solution adopted in the present invention is as follows:
One kind being applied to industrial digital twinned system, is arranged based on industrialized Intelligent Production System, including successively
Physical entity layer, data collection layer, the digital twin and its information model layer, process optimization layer of connection, and process optimization layer is also
Physics physical layer is connected by feedback control, forms closed loop.
As limitation of the invention: the data collection layer includes the biography on each mechanical equipment of physical entity layer
Sensor, for acquiring industrialized production progress data in real time, logistics data, implementing time data, personnel state data, mass number
According to, instrument and equipment data, frock tool data, Reverse Problem data.
Limit as to another kind of the invention: the number is twin and its information model layer includes the digital twin of Virtual Space
Body and data model, wherein the twin body of number of Virtual Space includes the twin body of procedure number, the twin body of product number, data
Model includes manufacture information bank, technique information library, three-dimensional model information library and the twin body of procedure number.
The present invention also provides a kind of mapping method applied to industrial digital twinned system and production system, packets
Include the following steps successively carried out:
One, mapping relations are formed: each equipment in physical entity layer and the connection between it being closed into virtualization, form industry
The mapping relations of entity and twin digital display circuit in metaplasia production；
Two, it builds the corresponding twin system of number: establishing different models respectively, enable data collection layer acquisition physical entity layer
All data information；Integrate the model of novel maintenance life cycle overall process in this step by digital thread, and with it is actual
Intelligent Production System and the matching of digitized measurement detection system are further carried out with Embedded information physical emerging system seamless
It is integrated with it is synchronous, to make to see in novel maintenance and its big data platform the actual physical device possibility in physical entity layer
There is a situation where；
Three, the twin body frame of number is built: physical entity layer, data collection layer, digital twin and information model layer, process is excellent
Change layer to be sequentially connected, forms closed loop.
As the restriction to the above method: the step 1 includes the following steps successively carried out:
1) simulation analysis model is established,
2) function of industrialized production system is defined as digital model, the control flow of novel maintenance is converted into digitlization
Thread, and the production O&M procedural model that each cross-thread is established is formed, then intelligent manufacture system, digitized measurement is cooperated to examine
System and information physical emerging system as a result, ultimately forming the model of loopful section.
Limit as the another kind to the above method: the model established in the step 2 includes: simulation model, function mould
Type, process design model, equipment consumptive material management process set model, fault detection and prediction, maintenance maintenance mathematical model, data point
Analysis and safety management model.
Due to the adoption of the above technical solution, compared with prior art, the present invention acquired beneficial effect is:
The present invention makes full use of the data such as physical model, sensor update, history run, and integraterd manufacturing system, factory service system are more
The simulation process of physical quantity, multiple dimensioned, more probability completes mapping in Virtual Space, to reflect corresponding entity equipment
Lifecycle process.The twin intelligence system of number of the invention can reflect object from microcosmic to all characteristics of macroscopic view, exhibition
Show the evolution process of the life cycle of equipment.
In conclusion the present invention can carry out more intelligentized control to production, it is suitable for all productions and factory service system
System (production equipment, production line) and monitoring and prediction management system in working service.
Detailed description of the invention
With reference to the accompanying drawing and specific embodiment makees more detailed description to the present invention.
Fig. 1 is the mapping relations figure of the embodiment of the present invention；
Fig. 2 is the system assumption diagram of the embodiment of the present invention；
Fig. 3 is the twin body implementation framework figure of number of the embodiment of the present invention.
Specific embodiment
Embodiment 1 is a kind of to be applied to the industrial digital twinned system of electronics industry ultrapure water
Cleanroom system of the present embodiment based on current electronic manufacturing industry, dynamical system, ultrapure water system and be arranged, and it is above-mentioned
Three systems all have intelligent control system.The present embodiment is as shown in figure 3, include sequentially connected physical entity layer, number
According to acquisition layer, digital twin and its information model layer, process optimization layer, and process optimization layer also passes through feedback control and connects physics
Physical layer forms closed loop.
Wherein physical entity layer includes Cleanroom system, dynamical system, all equipments in ultrapure water system；And data are adopted
Collection layer includes the sensor on each mechanical equipment of physical entity layer, and the sensor can acquire industrial metaplasia in real time
It produces progress data, logistics data, implement time data, personnel state data, qualitative data, instrument and equipment data, frock tool
Data, Reverse Problem data.The number is twin and its information model layer includes the twin body of number and data mould of Virtual Space
Type, wherein the twin body of number of Virtual Space includes the twin body of procedure number, the twin body of product number, and mathematical model then includes
Information bank, technique information library, three-dimensional model information library are manufactured, wherein the twin body of procedure number is connected with the twin body of product number
It connects；The process optimization layer is then used for optimizing scheduling, quality implementing monitoring, precision analysis and optimization, assembly line real time monitoring, money
Source real time monitoring, material optimization dispatching.
The working principle of the present embodiment are as follows: data collection layer acquires electronic enterprise factory service system in real time and (specifically includes that cleaning
Chamber system, dynamical system, ultrapure water system) generation fresh air, the resource that needs of power, the productions such as ultrapure water；And factory service system
The dynamic data generated in resource production processes can be divided into: demographic data, instrument and equipment data, frock tool data, logistics number
According to, progress data, qualitative data, real-time time data, eight major class of Reverse Problem data.Number is twin and information model layer receives
First against manufacturing recourses after to the information of data collection layer, in conjunction with the characteristics of production scene and demand, technology of Internet of things is utilized
Manufacturing resource information mark is carried out, the information gathering point of manufacturing process perception is designed, a manufacture internet of things is constructed,
Realize the real-time perception to manufacturing recourses, wherein demographic data, instrument and equipment data, frock tool data, logistics data are real
When perception data, progress data, qualitative data, real-time time data, Reverse Problem data be process data, the former pushes the latter
Generation.It to above-mentioned multi-source, isomeric data, is defined, identifies, cleans, and encapsulation.
Feedback control (includes: threedimensional model, process modeling, manufacture letter with the information model driven by data service
Breath) between interact.The generation and continuous renewal for realizing the twin body example of number, by the assembly of feedback control and real space
Solid data is associated, and realizes data interaction each other by unified data knowledge library；Process optimization layer is twin based on number
The condition monitoring of raw body and process optimization Virtual Space, are realized between the closed loop feedback control and actual situation of process of producing product
It is bi-directionally connected.Concrete function includes Real-time quality monitoring, precision analysis and optimization, resource and Real-time quality monitoring, optimizing scheduling
Optimize dispatching etc. with material.
A kind of forming method applied to the industrial digital twinned system of electronics industry of embodiment 2
The present embodiment is the forming method for implementing 1, including the following steps successively carried out:
One, mapping relations are formed: each equipment in physical entity layer and the connection between it being closed into virtualization, form industry
The mapping relations of entity and twin digital display circuit in metaplasia production.
This step is carried out according to following step again:
1) simulation analysis model is established,
2) function of industrialized production system is defined as digital model, the control flow of novel maintenance is converted into digitlization
Thread, and the production O&M procedural model that each cross-thread is established is formed, then intelligent manufacture system, digitized measurement is cooperated to examine
System and information physical emerging system as a result, ultimately form the model of loopful section, i.e., mapping relations as shown in Figure 1.
Two, it builds the corresponding twin system of number: establishing different models respectively, data collection layer is enabled to acquire physical entity
The all data information of layer.Integrate the model of novel maintenance life cycle overall process in this step by digital thread, and with reality
The Intelligent Production System and digitized measurement detection system on border match, and further carry out with Embedded information physical emerging system
It is seamless it is integrated with it is synchronous, to make to see the actual physical device in physical entity layer in novel maintenance and its big data platform
It can happen that.
In this step as shown in Figure 2 the following steps are included:
Simulation model is established, and establishes emulation data model, is established comprising following database and data model: manufacturing enterprise's building
Object BIM model, the simulation model library based on AR/VR, product design simulation library.
The Functional Design for implementing manufacturing enterprise's industry Internet of Things, establishes functional mode.In the present embodiment, factory service is established
Functional mode, product design, technological design, manufacturing process functional mode.
Establish the process design of intelligent remote O&M, Establishing process model, and without being limited thereto in actual implementation, Ke Yijian
Found corresponding procedural model, comprising: process, the data of intelligent O&M, dynamical system, Cleanroom system, ultrapure water system number
According to model.
The design of equipment consumptive material management process is established, its composition of equipment data includes: device model, standby redundancy model, consumption
Material replaces model.
Fault detection, maintenance maintenance mathematical model are established in the present embodiment, and fault database key data composition includes: event
Hinder detection model, fault prediction model, maintenance maintenance knowledge base.
Data analysis and safety management model are established, knowledge base key data composition includes: energy consumption model, production effect
Rate model, cost model, quality model etc..
Three, the twin body frame of number is built: by physical entity layer, data collection layer, digital twin and information model layer, mistake
Journey optimization layer is sequentially connected, and forms closed loop.By having run through the digitlization thread of entire product life cycle in this step, from production
Product design produces, the Seamless integration- of O&M, forms the twin image of number of intelligent factory service, and is formed from system O&M to factory service
The feedback of system design.
Claims (6)
1. one kind is applied to industrial digital twinned system, it is arranged, feature based on industrialized Intelligent Production System
It is: including sequentially connected physical entity layer, data collection layer, digital twin and its information model layer, process optimization layer, and
Process optimization layer also connects physics physical layer by feedback control, forms closed loop.
2. according to claim 1 be applied to industrial digital twinned system and forming method thereof, it is characterised in that:
The data collection layer includes the sensor on each mechanical equipment of physical entity layer, for acquiring industrialized production in real time
Progress data, implements time data, personnel state data, qualitative data, instrument and equipment data, frock tool number at logistics data
According to, Reverse Problem data.
3. according to claim 1 or 2 be applied to industrial digital twinned system and forming method thereof, feature exists
In: the number is twin and its information model layer includes the twin body of number and data model of Virtual Space, wherein Virtual Space
The twin body of number include the twin body of procedure number, the twin body of product number, data model includes manufacture information bank, technique letter
Cease library, three-dimensional model information library and the twin body of procedure number.
4. the constructive method as claimed in any of claims 1 to 3 applied to industrial digital twinned system,
It is characterized by comprising the following steps successively carried out:
One, mapping relations are formed: each equipment in physical entity layer and the connection between it being closed into virtualization, form industry
The mapping relations of entity and twin digital display circuit in metaplasia production；
Two, it builds the corresponding twin system of number: establishing different models respectively, enable data collection layer acquisition physical entity layer
All data information；Integrate the model of novel maintenance life cycle overall process in this step by digital thread, and with it is actual
Intelligent Production System and the matching of digitized measurement detection system are further carried out with Embedded information physical emerging system seamless
It is integrated with it is synchronous, to make to see in novel maintenance and its big data platform the actual physical device possibility in physical entity layer
There is a situation where；
Three, the twin body frame of number is built: physical entity layer, data collection layer, digital twin and information model layer, process is excellent
Change layer to be sequentially connected, forms closed loop.
5. the constructive method according to claim 4 applied to industrial digital twinned system, it is characterised in that: institute
Stating step 1 includes the following steps successively carried out:
1) simulation analysis model is established,
2) function of industrialized production system is defined as digital model, the control flow of novel maintenance is converted into digitlization
Thread, and the production O&M procedural model that each cross-thread is established is formed, then intelligent manufacture system, digitized measurement is cooperated to examine
System and information physical emerging system as a result, ultimately forming the model of loopful section.
6. the constructive method according to claim 4 or 5 applied to industrial digital twinned system, feature exist
In: the model established in the step 2 includes: simulation model, functional mode, process design model, equipment consumptive material management process
If model, fault detection and prediction, maintenance maintenance mathematical model, data analysis and safety management model.
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| CN109785180A (en) * | 2019-02-19 | 2019-05-21 | 山东大学 | A kind of scene perception system and method towards the twin workshop of number |
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| CN109933923A (en) * | 2019-03-19 | 2019-06-25 | 山东大学 | A kind of dynamoelectric equipment lean design method twin based on number |
| CN110045608A (en) * | 2019-04-02 | 2019-07-23 | 太原理工大学 | Based on the twin mechanical equipment component structural dynamic state of parameters optimization method of number |
| CN110187686A (en) * | 2019-06-03 | 2019-08-30 | 济南浪潮高新科技投资发展有限公司 | A kind of Internet of Things industrial processes monitoring method based on the twin technology of number |
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