CN109927297A - A kind of slurry miniflow extrusion molding Intelligentized method twin based on number - Google Patents
A kind of slurry miniflow extrusion molding Intelligentized method twin based on number Download PDFInfo
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Abstract
The present invention is a kind of slurry miniflow extrusion molding Intelligentized method twin based on number, this method include slurry miniflow extrusion molding platform, mapping model and number it is twin-slurry miniflow extrusion molding platform, slurry miniflow extrusion molding platform includes miniflow extrusion molding system and phy-aware device, digital twin-slurry miniflow extrusion molding platform includes descriptive model and information decision model, and information decision model includes information-storing device and information decision library；Slurry miniflow extrusion molding platform forms communication connection by digital twin-slurry miniflow extrusion molding platform under a mapping model data-interface and Information Level；Descriptive model is connect by information transmission interface with information decision model, and information decision model is connect with another mapping model data-interface again, forms a closed loop.This method is based on the twin technology of number, and traditional slurry miniflow extrusion molding platform is made to possess the function of self perception, self decision.
Description
Technical field
The invention belongs to slurry miniflows to squeeze out platform technology field more particularly to a kind of slurry miniflow twin based on number
Extrusion molding Intelligentized method.
Background technique
Slurry miniflow extrusion molding platform is that one kind is shaped based on increases material manufacturing technology by squeezing out configured slurry
Design the auxiliary manufacturing platform of model.The platform supplemented by software and Numeric Control Technology, is read based on mathematical model
The cross sectional information in file is taken, is successively accumulated in three-dimensional movement platform according to modes such as extruding, injections, with liquid slurry
These interfaces are successively printed, then each layer cross section is bonded together in a wide variety of ways to produce one
Entity.
The twin technology of number is an important technology in " industry 4.0 ", is the virtual representation of actual products, is present in production
In the whole life cycle of product, twin number is the key technology for realizing CPS, and the reality in physical space is established by the technology
The connection of pseudo-entity in body and information space, realization physical layer and Information Level are perfectly combined.Pseudo-entity is objective, complete
Real entities in whole reflection physical space, and by the technology exploration of analog simulation and predict unknown event, and generate and determine
Plan information, acts in real entities.The twin technology of number is a kind of current manufacturing new technology of innovation and development, is
The realization of intelligence manufacture provides huge help.
Currently, in current development in science and technology, intelligence manufacture has been manufacturing development trend, and traditional manufacture is not
It is able to satisfy current manufacture demand.Traditional slurry miniflow extrusion molding platform is based on digital control system, by reading system
The G code pre-stored emits pulse to each shaft step motor again, to realize the straight-line feed of slurry extruder head, circular interpolation
Deng movement.Traditional slurry miniflow extrusion molding platform intelligent degree is low, can not perceive displacement state, can only be according to
The G code stored in system carries out motion control, can not self perception, prediction when occurring movement warp in extrusion process
And adjustment, greatly reduce the stability and accuracy in platform motion process.
In conclusion problem of the existing technology is: traditional slurry miniflow extrusion molding platform intelligent degree is low,
It cannot achieve self perception, prediction and adjustment when encountering movement warp, greatly reduce the stability in platform motion process
And accuracy.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of slurry miniflow extrusion moldings twin based on number
Intelligentized method.
The technical scheme is that
A kind of slurry miniflow extrusion molding Intelligentized method twin based on number, which is characterized in that this method includes slurry
Expect miniflow extrusion molding platform, mapping model and number it is twin-slurry miniflow extrusion molding platform, slurry miniflow extrusion molding
Platform includes miniflow extrusion molding system and phy-aware device, and digital twin-slurry miniflow extrusion molding platform includes description mould
Type and information decision model, information decision model include information-storing device and information decision library；
Slurry miniflow extrusion molding platform is located at physical layer, passes through the number under a mapping model data-interface and Information Level
Word is twin-and slurry miniflow extrusion molding platform forms communication connection, and digital twin-slurry miniflow extrusion molding platform is information
Layer；Descriptive model is connect by information transmission interface with information decision model, information decision model and with another mapping model
Data-interface connection, forms a closed loop, and mapping model is connected two mapping model data-interfaces by translation interface；
The miniflow extrusion molding system is used for the extrusion of slurry；The phy-aware device is for monitoring slurry miniflow extrusion
The various exercise datas and information of formation system；
The information-storing device is docked by data-interface with descriptive model, and information-storing device is through TCP communications protocol and letter
Breath solution bank is bi-directionally connected, and information decision model generates decision, by mapping model data-interface connected to it by decision control
System is transferred to the mapping model data-interface connecting with miniflow extrusion molding system through mapping model, is ultimately applied to miniflow and squeezes
Out on formation system, miniflow extrusion molding system obtains the data of phy-aware device, then passes through mapping model number connected to it
According to interface by data collection through mapping model be transferred to number it is twin-the mapping mould that connect of slurry miniflow extrusion molding platform
Model modification modification data are acted on descriptive model by type data-interface；
The descriptive model is the twin model of virtual digit with miniflow extrusion molding systems compliant, can objectively respond object
The various time of days and information of slurry miniflow extrusion molding platform in layer are managed,
The information decision library by read information-storing device in descriptive model data, using the status data of each axis as
Input feature vector carries out characteristic parameter optimization by artificial neural network, the displacement in later period is used for after characteristic parameter is optimal
Error prediction analysis；In later period operation, the status information of each axis is read, it is pre- to carry out displacement error by artificial neural network
It surveys, detects whether that there are displacement errors, acted in the real entities in physical layer to generate corresponding decision information, and
Feedback control generates corresponding error correction.
Compared with prior art, the invention has the benefit that
By in the twin technical application to slurry miniflow extrusion molding platform of number, it is twin should to be based on number for the first time for the method for the present invention
Raw slurry miniflow extrusion molding Intelligentized method is based on the twin technology of number, passes through information-based modeling method and deep learning
(information-based modeling method refers to the structure of the pseudo-entity by the physical entity in Information Level into Information Level to artificial neural network
Build process.) traditional slurry miniflow extrusion molding platform is made to possess the function of self perception, self decision, become more intelligent
Change, in case of emergency, compensation is modified by decision information, make information processing become with real-time with can be pre-
The property surveyed.
Detailed description of the invention
Fig. 1 is the structural representation of the slurry miniflow extrusion molding Intelligentized method twin based on number provided by the invention
Figure；
Fig. 2 is that the miniflow of the slurry miniflow extrusion molding Intelligentized method twin based on number provided by the invention is extruded into
The structural schematic diagram of shape system；
Fig. 3 is the embodiment process of the slurry miniflow extrusion molding Intelligentized method twin based on number provided by the invention
Figure；
Fig. 4 is that the miniflow of the slurry miniflow extrusion molding Intelligentized method twin based on number provided by the invention is extruded into
The static structure model schematic diagram of shape system；
In figure: 1, slurry miniflow extrusion molding platform；2, miniflow extrusion molding system；2.1, sensing system；2.2, machine
Tool structural system；2.3, driving system of stepping motor；2.4, control system；3, phy-aware device；4, mapping model data connect
Mouthful；5, descriptive model；6, information-storing device；7, digital twin-slurry miniflow extrusion molding platform；8, information decision model；9,
Information decision library；10, mapping model；
Specific embodiment
For that can further appreciate that the contents of the present invention, feature and effect, the following examples are hereby given, and cooperates attached drawing detailed
It is described as follows.
The present invention is explained in detail with reference to the accompanying drawings and embodiments.
As shown in Fig. 1 to Fig. 4, the slurry miniflow extrusion molding Intelligentized method packet twin based on number provided by the invention
Include: slurry miniflow extrusion molding platform 1, mapping model 10 and number it is twin-slurry miniflow extrusion molding platform 7, slurry miniflow
Extrusion molding platform 1 includes miniflow extrusion molding system 2 and phy-aware device 3, and digital twin-slurry miniflow extrusion molding is flat
Platform 7 includes descriptive model 5, information decision model 8, and information decision model 8 includes information-storing device 6 and information decision library 9；
Slurry miniflow extrusion molding platform 1 is that the prior art (can refer to patent, the Ding Cheng of application number 201910006536.7
Monarch, the design of Yin Leipeng .FDM type artificial tooth 3D printer include that miniflow squeezes with realization [J] experimental technique and management, 2018 (4))
3 two parts of formation system and phy-aware device out, the two parts collectively constitute physical layer entity.Slurry miniflow is extruded into
Shape platform 1 is located at physical layer, is squeezed out by digital twin-slurry miniflow under a mapping model data-interface 4 and Information Level
Forming platform 7 forms communication connection.Digital twin-slurry miniflow extrusion molding platform 7 includes descriptive model 5 and information decision
Model 8, the two collectively constitutes Information Level.Descriptive model 5 is connect by information transmission interface with information decision model 8, and information is determined
Plan model 8 is connect with another mapping model data-interface 4 again, forms a closed loop, and mapping model 10 will by translation interface
Two mapping model data-interfaces 4 connect.
Miniflow extrusion molding system 2, by sensing system 2.1, mechanical structure system 2.2, driving system of stepping motor 2.3
And control system 2.4 forms.Sensing system 2.1 is fixed by screws in each position on mechanical structure system 2.2,
Driving system of stepping motor 2.3 is closely connected by screw with mechanical structure system 2.2.Control system 2.4 passes through conducting wire
It is connect with driving system of stepping motor 2.3, sensing system 2.1.
Information decision model 8 is made of information-storing device 6 and information decision library 9, information-storing device 6 by data-interface with
Descriptive model 5 docks, and information-storing device 6 is bi-directionally connected through TCP communications protocol and information decision library 9, and information decision model generates
Decision Control is transferred to and miniflow extrusion molding system by decision by mapping model data-interface connected to it through mapping model
The mapping model data-interface of system connection, is ultimately applied in miniflow extrusion molding system, and miniflow extrusion molding system obtains object
The data of perceptron are managed, then are transferred to data collection through mapping model 10 by mapping model data-interface connected to it
With number it is twin-the mapping model data-interface that connect of slurry miniflow extrusion molding platform 7, model modification modification data are made
For descriptive model, descriptive model includes digital sensor system 5.1, digital mechanical structure system 5.2, numerical control system
5.3, the numeric structure of digital stepper motors drive system 5.4, descriptive model is consistent with the structure of miniflow extrusion molding system.
The working principle of the invention is:
Within the physical layer, slurry miniflow extrusion molding platform 1 is made of miniflow extrusion molding system 2 and phy-aware device 3.
Miniflow extrusion molding system 2 is to be made of to be respectively four big subsystems: sensing system 2.1, mechanical structure system 2.2, stepping
Motor driven systems 2.3 and control system 2.4.Mechanical structure system 2.2 is mainly the mechanical knot of miniflow extrusion molding system
Structure part, comprising: X-axis slide unit, Y-axis slide unit, Z axis slide unit, three slide units link together in XYZ coordinate shaft type.X-axis slide unit
On be bolted and squeeze out barrel and extruder head, the extrusion for slurry.Driving system of stepping motor 2.3 is entire micro-
The drive part for flowing extrusion molding system 2, specifically includes that X-axis stepper motor, y-axis stepper motor, Z axis stepper motor and slurry
Material squeezes out stepper motor, they are separately mounted on the slide unit of each axis, for driving slide unit to move.Control system 2.4 is main
Including hardware components and software section, hardware components are made of control panel, power supply, and software section is by the control based on Marlin
Algorithm (the existing control algolithm that Marlin is 3D printer maturation) is constituted.Acceleration sensing is contained in sensing system 2.1
Device, velocity sensor, pressure sensor, position sensor (limit switch, extruder head touching switch) etc., it is each for monitoring
The motion state data of mechanical structure, phy-aware device 3 are that the data information of sensor based system 2.1 is set up, and are led to
Cross phy-aware device 3 (phy-aware device 3 is set up in sensor based system 2.1, sensing system 2.1 be for
Collection status data, phy-aware device 3 is for storing these status datas, and by data application to miniflow extrusion molding system 2
In) store all data information during the miniflow extrusion molding system motion.
In Information Level, digital twin-slurry miniflow extrusion molding platform 7 is by descriptive model 5 and 8 groups of information decision model
At.Descriptive model 5 is based on UML modeling method and establishes sensing system 2.1, machinery in Information Level by Modelica language
Structural system 2.2, driving system of stepping motor 2.3 and the corresponding digital sensor system of control system 2.4, number are mechanical
The twin model of complete virtual digit that structural system, digital stepper motors drive system and numerical control system are constituted.Letter
Ceasing decision model 8 includes information-storing device 6.With information decision library 9, every model data (letter is stored in information-storing device 6
Breath memory 6 is mainly stored with virtual according to caused by status data and corresponding descriptive model 5 in phy-aware device 3
The twin model of number, the twin model of the number can really reflect the time of day of the entity in physical layer), information is determined
Plan library 9 is one using Tensorflow as the deep learning network of learning framework, reads information storage by information decision library 9
Every model data in device 6 generates decision information.
In articulamentum, physical layer and Information Level are all by corresponding mapping model data-interface 4 by mapping model
10 convert data information mutually.Model letter in the data information and descriptive model 5 that are stored due to phy-aware device 3
Breath is transmitted by different interface and communication protocol, so there is incompatible phenomenon between different interfaces,
Mapping model data-interface 4 carries out unified standardization processing to different data based on OPCUA standard, so that physical data
It can be preferably fused together with information data.Mapping model 10 is the file information with XML format, and the inside includes
Variety classes (the file information contains these types: X-axis slide unit, Y-axis slide unit, Z axis slide unit speed, acceleration data letter
The data information of the speed, acceleration of breath and slurry extruder head, pressure value.Mapping model data-interface is physical layer and letter
Breath layer provides a kind of general reading/writing method, is realized at data to the data information of physical layer by different communication protocol
Reason and parsing, finally in Information Level by mapping model data-interface according to according to the transformation rule of XML mapping model by object
Information in reason layer is converted to the information that can be read in Information Level.) data information structure and numerical value.
When work, the miniflow extrusion molding platform in physical layer is received during extrusion molding by phy-aware device 3
The motion process information for collecting miniflow extrusion molding system 2, is believed data through mapping model 10 by mapping model data-interface 4
Breath is mapped in digital twin-slurry miniflow extrusion molding platform 7 in Information Level, is come by descriptive model 5 according to mapping
Information completely, objectively establish out the virtual twin model of number in Information Level (the twin model of the number be object
Entity in reason layer is expressed entity by status data in phy-aware device 3 and corresponding descriptive model 5 in Information Level
Out).The virtual twin Model Transfer of number is stored in the information-storing device 6 into information decision model 8, and is led to
It crosses in information decision library 9 and digital simulation and training is carried out based on the artificial neural network under Tensorflow learning framework, thus
Obtain the decision model optimized.The behavior in platform extrusion process can be carried out by the decision model reasonable
Prediction, and the decision information of generation is back to by the Plane Entity in physical layer by mapping model data-interface 4, thus real
Having showed slurry miniflow extrusion molding platform 1 has the function of self perception, self prediction.
Embodiment
Miniflow extrusion molding system includes four big subsystems in physical layer, and control system drives stepping electricity by pulse input
Each axis slide unit and extruder of the connection of machine drive system carry out the extrusion molding of slurry.Sensing system is mounted on mechanical system
In each position, sensing system is used to monitor the fortune of each mechanical system in mechanical system structure during extrusion
Dynamic status data, such as: acceleration, speed and the extrusion pressure motion state data of each axis slide unit, it will by phy-aware device
These motion state datas are collected storage.Due to the acceleration of collected each axis slide unit, speed, extrusion pressure value
The interface and communication protocol disunity of the data such as data structure and the Geometric Modeling of mechanical structure system, so using OPCUA number
Unification is carried out according to standard criterion, different controller and machine can be accessed and be matched with cross-platform by OPC UA technology
It sets, realizes cross-platform interoperability, obtained different data and model interface unified and standard.
The static structure model (such as Fig. 4) of miniflow extrusion molding system is established based on UML, which describes
The working method of the static composed structure of miniflow extrusion molding system, physical features attribute and each system passes through the static state and ties
Incidence relation between each system of structure model construction.Based on what is stored in the static structure model combination physics perceptron
Motion state data, by XML mapping model by motion state data, the static composed structure of platform, physical features attribute with
And the working method of each system is mapped in Information Level.
XML mapping model contains a set of Mapping and Converting rule, and by a series of labels, (label refers specifically to customized
XML tag, the name of label need to meet the syntax rule of XML language, by establishing suitable mark to different data informations
Note, carrys out attribute, element and the data structure in recording data information.) entire data structure described, Mapping and Converting rule
Then include: that root node in static structure model is mapped as a class, is the complicated cycling of elements of father node for it using root node
Subclass；The data type attribute that root node corresponds to class is converted to by the simple elements of father node, attribute of root node；Complicated member
The attribute of element and the simple elements for being included are converted into the data class attribute that complicated element corresponds to class.By XML mapping model,
Motion state data in the static structure model and phy-aware device of miniflow extrusion molding system is converted into XML format
Message file.
Digital twin-slurry miniflow extrusion molding platform is established in Information Level.The number is twin-and slurry miniflow is extruded into
Shape platform includes descriptive model, information decision model.By Mworks software, (MWorks is the multi-field engineering system of a new generation
Modeling, emulation, the general CAE platform of analysis and optimization, are based on multidomain uniform modeling specification Modelica, provide from visual
Change the complete function of modeling, simulation calculation to interpretation of result, MWorks can make as multi-field engineering system research/development platform
Different domain experts carries out multi-field cooperate with out to complex engineering system in unified exploitation environment with enterprise engineering teacher
Hair, test and analysis.) message file that reads XML format, based on Modelica language to the descriptive model of entire platform into
Row is established, which includes mechanical structure descriptive model and control structure descriptive model, and is deposited in information-storing device
Storage, the Seamless integration- and data exchange between different field model are realized by Modelica language.The descriptive model according to
The physical topology organization of real system constructs simulation model, each physical component or mechanism are corresponding with a group
Part, the true connection between physical assemblies correspond to the logical connection in component connection figure between model component, and with true system
System has similar hierarchical structure.The descriptive model can real entities in objective, complete reflection physical layer, wherein machine
Tool structural model describes the entire mechanical structure connection relationship of physical layer in Information Level, and control structure descriptive model is in information
The control planning of whole slurry miniflow extrusion molding platform within the physical layer is described in layer.
Information decision library is (to establish artificial neural network based on the artificial intelligence neural networks under Tensorflow learning framework
Network is the prior art, sees books " Tensorflow actual combat Google deep learning frame "), by reading in information-storing device
Descriptive model data it is excellent that characteristic parameter is carried out by artificial neural network using the status data of each axis as input feature vector
Change, displacement error forecast analysis after characteristic parameter is optimal, for the later period；When later period runs, each axis is read herein
Status information carries out displacement error prediction by artificial neural network, detects whether there are displacement error, to generate corresponding
Decision information act in the real entities in physical layer, and feedback control generates corresponding error correction.
The building mode of heretofore described each model can directly be established by existing software, in information decision mould
Insert depth learns artificial neural network in type, and deep learning artificial neural network is existing artificial intelligence technology, based on going through
History data learn and founding mathematical models, to predict unknown amount.The twin technology of number passes through in information decision model 8
Deep learning artificial neural network generate decision information, and act in physical entity.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (3)
1. a kind of slurry miniflow extrusion molding Intelligentized method twin based on number, which is characterized in that this method includes slurry
Miniflow extrusion molding platform, mapping model and number it is twin-slurry miniflow extrusion molding platform, slurry miniflow extrusion molding platform
Including miniflow extrusion molding system and phy-aware device, digital twin-slurry miniflow extrusion molding platform include descriptive model and
Information decision model, information decision model include information-storing device and information decision library；
Slurry miniflow extrusion molding platform is located at physical layer, twin by a mapping model data-interface and the number under Information Level
Life-slurry miniflow extrusion molding platform forms communication connection, and digital twin-slurry miniflow extrusion molding platform is Information Level；It retouches
It states model to connect by information transmission interface with information decision model, information decision model connects with another mapping model data again
Mouth connection, forms a closed loop, and mapping model is connected two mapping model data-interfaces by translation interface；
The miniflow extrusion molding system is used for the extrusion of slurry；The phy-aware device is for monitoring slurry miniflow extrusion molding
The various exercise datas and information of system；
The information-storing device is docked by data-interface with descriptive model, and information-storing device is determined through TCP communications protocol with information
Plan library is bi-directionally connected, and information decision model generates decision, is passed through Decision Control by mapping model data-interface connected to it
Mapping model is transferred to the mapping model data-interface connecting with miniflow extrusion molding system, is ultimately applied to miniflow extrusion molding
In system, miniflow extrusion molding system obtains the data of phy-aware device, then passes through mapping model data-interface connected to it
By data collection through mapping model be transferred to number it is twin-the mapping model data that connect of slurry miniflow extrusion molding platform connect
Mouthful, model modification modification data are acted on into descriptive model；
The descriptive model is the twin model of virtual digit with miniflow extrusion molding systems compliant, can objectively respond physical layer
The various time of days and information of middle slurry miniflow extrusion molding platform,
The information decision library is by reading the descriptive model data in information-storing device, using the status data of each axis as input
Feature carries out characteristic parameter optimization by artificial neural network, the displacement error in later period is used for after characteristic parameter is optimal
Forecast analysis；In later period operation, the status information of each axis is read, displacement error prediction, inspection are carried out by artificial neural network
It surveys and whether there is displacement error, acted in the real entities in physical layer to generate corresponding decision information, and feed back control
System, generates corresponding error correction.
2. the slurry miniflow extrusion molding Intelligentized method twin based on number as described in claim 1, which is characterized in that described
Descriptive model includes mechanical structure descriptive model and control structure descriptive model, and is stored in information-storing device, this describes mould
Type constructs simulation model according to the physical topology organization of real system, each physical component or mechanism are corresponding with one
A component, the true connection between physical assemblies correspond to the logical connection in component connection figure between model component, and with it is true
The hierarchical structure of real system is identical, and wherein mechanical structure model describes the entire mechanical structure connection of physical layer in Information Level and closes
System, control structure descriptive model describe the control of whole slurry miniflow extrusion molding platform within the physical layer in Information Level and close
System.
3. the slurry miniflow extrusion molding Intelligentized method twin based on number as described in claim 1, which is characterized in that described
Mapping model contains a set of Mapping and Converting rule, and entire data structure, Mapping and Converting rule are described by a series of labels
It then include: that root node in the static structure model of miniflow extrusion molding platform is mapped as a class, using root node as father node
Complicated cycling of elements be its subclass；The number that root node corresponds to class is converted to by the simple elements of father node, attribute of root node
According to type attribute；Complicated attribute of an element and the simple elements for being included are converted into the data class attribute that complicated element corresponds to class.
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