CN111159793A - Digital twin five-dimensional model based 3D printer modeling method and model system - Google Patents
Digital twin five-dimensional model based 3D printer modeling method and model system Download PDFInfo
- Publication number
- CN111159793A CN111159793A CN202010062132.2A CN202010062132A CN111159793A CN 111159793 A CN111159793 A CN 111159793A CN 202010062132 A CN202010062132 A CN 202010062132A CN 111159793 A CN111159793 A CN 111159793A
- Authority
- CN
- China
- Prior art keywords
- data
- printer
- model
- twin
- digital twin
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 238000013507 mapping Methods 0.000 claims abstract description 6
- 230000000007 visual effect Effects 0.000 claims abstract description 3
- 239000000463 material Substances 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 9
- 238000012800 visualization Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 5
- 238000007639 printing Methods 0.000 claims description 5
- 238000004088 simulation Methods 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 4
- 230000003190 augmentative effect Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000003672 processing method Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 230000003542 behavioural effect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000010146 3D printing Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008021 deposition Effects 0.000 description 1
- 238000012942 design verification Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
Abstract
The invention discloses a 3D printer modeling method and a model system based on a digital twin five-dimensional model, wherein a physical model is established, and a 3D printer digital twin virtual model is established by performing virtual highly real mapping on geometric, physical, environmental and behavioral elements of the physical model; adopting a Browser/Server mode, and establishing a service system by the back end according to the MVC specification by using PHP and Mysql; extracting twin data comprising 3D printer physical entity data, 3D printer digital twin virtual model data, service data and knowledge data: a twin data information chain is established. The model system comprises a twin data information chain and realizes real-time information interaction among a physical model, a 3D printer digital twin virtual model, a service system and twin numbers. The modeling method can perform multi-view visual working condition and state monitoring on line in real time, and complete real-time natural interaction.
Description
Technical Field
The invention belongs to the technical field of 3D printers, and relates to a 3D printer modeling method based on a digital twin five-dimensional model; the invention also relates to a model system established by the modeling method.
Background
The 3D printing technology can quickly and efficiently meet the requirements of consumers on personalized customization, and is more and more widely applied. With the continuous progress of 3D printing technology, the variety and number of 3D printers are increasing. Currently, the digitization level of 3D printers is low. Under the large background of deep implementation of 'china manufacturing 2025', improving the digitization level of a 3D printer is a key problem faced by 3D printing technology.
Currently, modeling methods for 3D printers are mostly limited to one aspect. For example, the method disclosed in patent application "a 3D printer molding accuracy optimization method" (publication No. CN 109878073A) models and simulates the overall mechanical structure of an existing FDM type 3D printer by using three-dimensional CAD modeling software, but the method cannot predict the problems occurring in the working process of the 3D printer, is inconvenient to display the working state in real time, is inconvenient to provide intelligent services, does not consider the influence of environmental factors (such as temperature, humidity, wind speed, etc.) on the working of the 3D printer, and has a low management level.
The digital twin integrates multiple physical, multi-scale, multi-field and multi-disciplinary attributes, has the characteristics of real-time synchronization, faithful mapping and high fidelity, and is an effective technical means for realizing interaction and fusion of a physical world and an information world. According to the data twin 'five-dimensional structure model', the data twin comprises a physical model, a virtual model, a management system, twin data and a twin data information chain connecting the physical model and the virtual model. The 3D printer digital twin virtual model is a digital mirror image of a physical model, can efficiently and accurately evaluate, predict and optimize the entity model, and can provide intelligence for the entity model. Through retrieval, no report exists on a digital twin-based 3D printer digital model modeling method.
Disclosure of Invention
The invention aims to provide a digital twin five-dimensional model-based 3D printer modeling method capable of displaying and predicting working conditions in real time and intelligently serving.
Another object of the present invention is to provide a 3D printer model system created by the above modeling method.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: A3D printer modeling method based on a digital twin five-dimensional model comprises the following steps:
1) creating a software robot or drive physical model:
the physical model comprises a 3D printer body, a sensor and a control system, wherein the sensor is arranged on the 3D printer body and transmits signals of the speed, the position and the temperature of a printing head and signals of the working environment (such as humidity, temperature, wind speed and the like) of the 3D printer to the control system; the control system collects data of an operation panel of the 3D printer body and data of the sensor, transmits the collected data in a signal communication mode, and controls the 3D printer to work;
2) creating a 3D printer digital twin virtual model of a soft-bodied robot or driver:
the method comprises the following steps of performing virtual high-reality mapping on geometric, physical, environmental and behavior elements of a physical model based on a virtual reality and augmented reality technology to form a 3D printer digital twin virtual model, and mainly completing simulation, optimization, evaluation and real-time intelligent monitoring and regulation of the 3D printer working process;
the digital twin virtual model of the 3D printer comprises a digital twin description model and a digital twin intelligent model. The digital twin description model comprises a mechanism description model and a data-driven description model. The mechanism description model is established according to control science, hydromechanics, electrician electronics, mechanics, materials science and the like. The data driving description model is driven by a three-dimensional visualization engine in a twin data information chain, and receives real-time data. The digital twin description model and the digital twin intelligent model are combined with each other to render on line in real time to generate a virtual 3D printer consistent with the physical 3D printer, and the virtual 3D printer has multi-view visual display and can display states and working conditions in real time and naturally in an interactive manner;
the digital twin intelligent model mainly comprises an operating state database, a knowledge base and an inference machine, and working condition prediction and intelligent service of the 3D printer are realized by analyzing and deciding real-time data acquired by the sensor and original historical data.
3) Creating a service system:
the service system mainly completes data, algorithm, modeling process, fault management and control, service life prediction, interface operation and the like.
The service system adopts a Browser/Server mode, the back end uses PHP and Mysql to develop according to MVC standard, and the functions of user login, permission judgment, information management, historical data lookup, data analysis and the like can be realized; a user can log in the system at a PC (personal computer) end or a mobile client through an account and a password of the service system to perform tasks such as ordering, data downloading and state monitoring; the user can log in on site or remotely at any time, control the 3D printer, check the production scheme and optimize the system configuration.
4) Mining twin data:
twin data is a key driver. The twin data comprises physical entity data of the 3D printer, digital twin virtual model data of the 3D printer, service data, knowledge data and derivative data. The physical entity data of the 3D printer comprises the specification, performance, operation and other related data of the 3D printer; the method comprises the data of the size, the assembly, the position, the material and the like of the digital twin virtual model of the 3D printer. The service data comprises an algorithm, a data processing method and related management data; the knowledge data comprises expert knowledge in a digital twin virtual model of the 3D printer, a model base and other data; the derived data is obtained by performing relevant processing such as data conversion, preprocessing, classification, association, integration, fusion and the like on the data.
5) Creating a dynamic real-time concatenation or dynamic real-time twin data information chain:
the dynamic real-time connection or dynamic real-time twin data information chain realizes real-time information interaction among a 3D printer physical model, a 3D printer digital twin virtual model, a service system and twin data by means of a modern information transmission technology. The physical model and the 3D printer digital twin virtual model are connected through the twin data information chain, the twin data, the physical model and the virtual model are connected through the twin data information chain, and the service system, the twin data, the physical model and the virtual model are connected through the twin data information chain.
The twin data information chain realizes mutual information data exchange of related components, and comprises connection of a physical model and a 3D printer digital twin virtual model, connection of the physical model and a service system, connection of the physical model and twin data, connection of the 3D printer digital twin virtual model and the service system, connection of the 3D printer digital twin virtual model and the twin data, connection of the twin data and the service system and the like.
The other technical scheme adopted by the invention is as follows: the model system established by the modeling method comprises a service system, wherein the service system is respectively connected with twin data, a physical model and a 3D printer digital twin virtual model through twin data information chains, the twin data is respectively connected with the physical model and the 3D printer digital twin virtual model through the twin data information chains, and the physical model is connected with the 3D printer digital twin virtual model through the twin data information chains.
According to the modeling method, the physical 3D printer body and the environmental state information are collected through various sensors, and the three-dimensional visualization engine is driven to render and generate the virtual 3D printer model consistent with the physical 3D printer based on the information, so that the faithful twin mapping of the virtual 3D printer and the physical 3D printer is realized, the multi-view visualization working condition and state monitoring can be carried out on line in real time, and the real-time natural interaction is completed.
By constructing the service system, the model can control data, algorithms, modeling processes and the like involved in the work of the 3D printer, and the data, the algorithms, the modeling processes and the like are displayed through a human-computer friendly interface, so that the management level is improved.
Drawings
FIG. 1 is a schematic diagram of the general structure established in the modeling method of the present invention.
FIG. 2 is a schematic diagram of a physical model built in the modeling method of the present invention.
FIG. 3 is a schematic diagram of a 3D printer digital twin virtual model built in the modeling method of the present invention.
FIG. 4 is a schematic diagram of the digital twin intelligent model established in the modeling method of the present invention.
FIG. 5 is a schematic diagram of one embodiment of the modeling method of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The five-dimensional model established by the 3D printer modeling method based on the digital twin five-dimensional model provided by the embodiment includes a physical model, a digital twin virtual model of the 3D printer, a service system, twin data and a twin data information chain, as shown in fig. 1; wherein,
the physical model includes a 3D printer body, sensors, and a control system, as shown in fig. 2. The 3D printer body comprises a servo system, a functional unit and an auxiliary part, wherein the servo system comprises a motor, a feeding system and the like; the functional unit comprises a screw rod, a feed rod, a printing head and the like; the auxiliary part comprises a material conveying system, a lighting system, a protective cover and the like. The sensor comprises a position sensor, a speed sensor, an acceleration sensor, a temperature sensor and the like, and the data transmission mode of the sensor is realized by Wifi, Bluetooth, RFID, RS232 and the like. The control system mainly comprises a controller, an HMI, an I/O and the like,
the sensor is arranged on the 3D printer body and transmits signals of the speed, the position and the like of the 3D printer body to the control system; the sensor is connected with the control system through different data interfaces; the control system collects relevant data through the twin data information chain and transmits signals, and meanwhile, controls parameters such as the speed and the track of the printing head and sends information such as alarm prompt;
the 3D printer digital twin virtual model is a highly real mapping for virtualizing the geometric, physical, environmental and behavior elements of a physical model based on technologies such as virtual reality and augmented reality, and is mainly used for completing simulation, optimization, evaluation and real-time intelligent monitoring and regulation of the 3D printer working process. The three-dimensional visualization engine is driven by the twin data information chain to render on-line real-time and off-line non-real-time to generate a virtual 3D printer consistent with the physical 3D printer, and the digital twin virtual model of the 3D printer has the functions of multi-view visualization display, natural interaction and state monitoring. The virtual model comprises a digital twin description model and a digital twin intelligent model, and the digital twin intelligent model realizes intelligent service of digital twin of the 3D printer through data analysis and decision.
The digital twin virtual model of the 3D printer is composed of a digital twin description model and a digital twin intelligent model, and is shown in FIG. 3. The digital twin description model comprises a mechanism description model and a data-driven description model. The mechanism description model is composed of a fluid system, a material system, an electrical system and a mechanical system, the working principle of the 3D printer is described by means of related subject principles, the mechanical system is responsible for describing the relation among all mechanical parts of the physical 3D printer, the fluid system is used for describing the relation of a hydraulic system of the 3D printer, the electrical system is used for describing the relation of an electrical control system of the 3D printer, and the material system is used for describing the material properties of the 3D printer. The mechanism description model is constructed based on a multi-domain unified modeling language Modelica in an object-oriented mode, the 3D printer is divided by utilizing an object-oriented idea and a method based on componentization and mathematical equation until all parts, then a representation model of corresponding parts and subsystems is established by utilizing the unified multi-domain modeling language Modelica based on constraint requirements of corresponding systems, and the subsystems in all the domains are integrated in different domains through energy converters to form a digital twin multi-domain description model.
As shown in fig. 4, the digital twin intelligent model mainly comprises an operating state database, a knowledge base and an inference machine, wherein the operating state database stores control systems and sensing information acquired from the 3D printer in real time, the knowledge base learns corresponding knowledge from historical data, the inference machine performs decision-making inference and fault predictive diagnosis and the like based on corresponding rules and knowledge, so as to complete intelligent prediction of the working condition of the 3D printer, and feed back results and physical assets in the form of data, thereby realizing the intelligence of the 3D printer; and meanwhile, the result is transmitted to the 3D printer digital twin virtual model in a data form, so that the 3D printer digital twin virtual model is promoted to be adjusted and displayed in real time. The real-time interactive display and the optimal work are achieved.
The service system adopts a Browser/Server mode, the back end uses PHP and Mysql to develop according to MVC standard, and the functions of user login, permission judgment, information management, historical data lookup, data analysis and the like can be realized; a user can log in a service system at a PC (personal computer) end or a mobile client through an account and a password to perform order placing, data downloading, state monitoring and the like; the service system can complete the work of fault management and control, service life prediction and the like. The user can log in on site or remotely at any time, control the 3D printer, check the production scheme and optimize the system configuration.
The twin data comprises 3D printer physical entity data, 3D printer digital twin virtual model data, service data, knowledge data, derivative data and the like. The physical entity data of the 3D printer comprises the specification, performance, operation and other related data of the 3D printer. The digital twin virtual model data of the 3D printer comprises the data of the size, assembly, position, material and the like of the virtual model. The service data includes algorithms, data processing methods and related management data. The knowledge data comprises expert knowledge in a digital twin virtual model of the 3D printer, a model base and the like.
The twin data information chain realizes mutual information data exchange of related components, and comprises connection of a 3D printer physical model and a 3D printer digital twin virtual model, connection of a physical model and a service system, connection of a 3D printer physical model and a twin number, connection of a 3D printer digital twin virtual model and a service system, connection of a 3D printer digital twin virtual model and a twin number, connection of a twin number and a service system and the like.
Examples
Referring to FIG. 5, one embodiment of the modeling method of the present invention is a 3-axis Fused Deposition (FDM) 3D printer. The 3D printer mainly comprises a frame, a polished rod support, an optical axis, a feeding mechanism, a Z-axis platform, an extrusion head, a bottom plate, a control circuit and a stepping motor.
In the process of carrying out digital twin modeling on the 3D printer by using the modeling method, the 3D printer is divided by using an object-oriented idea and a method based on componentization and mathematical equation until all parts are obtained, engineers in all fields use a unified multi-field modeling language Modelica to establish expression models of corresponding parts and subsystems based on a constraint equation, a constraint, a parameter and the like of a corresponding system, and the subsystems in all fields are integrated in different fields through an energy converter to form a description model of the digital twin multi-field. The intelligent digital twin model mainly comprises a database, a knowledge base and an inference machine.
The method comprises the following steps that sensors (a speed sensor, a temperature sensor, a position sensor, a flow sensor and the like) and limit switches which are installed on a 3D printer body and environment sensors (an air humidity sensor, an environment temperature sensor and the like) which are used for collecting environment data transmit physical attributes (printing speed, temperature, feeding speed and the like) and environment parameters of the 3D printer to a digital twin intelligent model of the 3D printer, and the digital twin virtual model of the 3D printer which is consistent with the physical model is generated by utilizing the subject mechanism of control science, fluidics, materials science, electrics and mechanics and combining the data, and the working condition of the digital twin virtual model is displayed in real time; meanwhile, the stored historical data is combined, and the 3D printer digital twin virtual model is intelligently analyzed and predicted to determine whether the current physical attribute value of the 3D printer is reasonable or not. If unreasonable, adjust the motion of 3 axles of 3D printers and extrude the operating mode of head through step motor to make 3D printer work more accord with reality, operating condition is optimal.
The design service module of the service system is combined with a simulation technology (using ABAQUS, ANSYS and other software) and a data modeling technology to realize real-time high-confidence simulation prediction of the 3D printer, so that the design verification capability can be improved, the design speed is accelerated, and the design precision is improved. The fault prediction and monitoring module of the service system is used for rapidly capturing faults, accurately positioning fault reasons, evaluating the state of the 3D printer and predicting and maintaining the state of the 3D printer based on real-time data provided by twin data through analyzing and processing the acquired data. The service system can also complete the statistical analysis of the twin data and display the twin data. The operator can also complete the control of the 3D printer through the human-computer interface.
The service system adopts a Browser/Server mode, the back end uses PHP and Mysql to develop according to MVC standard, and the functions of user login, permission judgment, information management, historical data lookup, data analysis and the like can be realized; a user can log in the system at a PC (personal computer) end or a mobile client through an account and a password of the system to perform tasks such as ordering, data downloading and state monitoring. The user can log in the service system on site or remotely at any time, control the 3D printer, check the working scheme and optimize the system configuration.
Claims (7)
1. A3D printer modeling method based on a digital twin five-dimensional model is characterized by comprising the following steps:
1) establishing a physical model comprising a 3D printer body, a sensor and a control system, wherein the sensor is installed on the 3D printer body, and transmits a speed signal, a position signal and a temperature signal of a printing head and a working environment signal of the 3D printer to the control system; the control system collects data of an operation panel of the 3D printer body and data of the sensor, transmits the collected data in a signal mode, and controls the 3D printer;
2) performing virtualization high real mapping on geometric, physical, environment and behavior elements of the physical model based on virtual reality and augmented reality technologies to establish a digital twin virtual model of the 3D printer;
3) adopting a Browser/Server mode, and establishing a service system by the back end according to the MVC specification by using PHP and Mysql; the system is used for user login, authority judgment, information management, historical data lookup and data analysis;
4) extracting twin data comprising physical entity data of the 3D printer, digital twin virtual model data of the 3D printer, service data and knowledge data and derivative data:
5) and establishing a dynamic real-time connection twin data information chain or a dynamic real-time twin data information chain, and realizing real-time information interaction among a physical model, a digital twin virtual model of the 3D printer, services and twin numbers through the twin data information chain.
2. The digital twin five-dimensional model-based 3D printer modeling method according to claim 1, wherein the 3D printer digital twin virtual model includes a digital twin description model and a digital twin intelligent model; the digital twin description model comprises a mechanism description model and a data driving description model; the mechanism description model is established according to control science, hydromechanics, electricity, mechanics and materials science; the data driving description model is driven by a three-dimensional visualization engine in a twin data information chain, and receives real-time data; the digital twin description model and the digital twin intelligent model are combined with each other to render on line in real time to generate a virtual 3D printer consistent with the physical 3D printer, and the virtual 3D printer has multi-view visual display and can display states and working conditions in real time and naturally in an interactive manner; the digital twin intelligent model consists of an operating state database, a knowledge base and an inference machine, and the working condition prediction and intelligent service of the soft robot or the driver are realized by analyzing and deciding the real-time data collected by the sensor and the original historical data.
3. The digital twin five-dimensional model-based 3D printer modeling method as claimed in claim 1 or 2, wherein the 3D printer digital twin virtual model completes simulation, optimization, evaluation and real-time intelligent monitoring and control of the 3D printer working process.
4. The digital twin five-dimensional model-based 3D printer modeling method according to claim 1, wherein the physical entity data of the 3D printer includes specification, performance and operation-related data of the 3D printer; the 3D printer digital twin virtual model data comprises the size, assembly, position and material data of the 3D printer digital twin virtual model; the service data comprises an algorithm, a data processing method and related management data; the knowledge data includes expert knowledge in the 3D printer digital twin virtual model and model library data.
5. The digital twin five-dimensional model-based 3D printer modeling method according to claim 1, wherein the physical model and the 3D printer digital twin virtual model are connected by a twin data information chain, the twin data, the physical model and the virtual model are connected by a twin data information chain, and the service system, the twin data, the physical model and the virtual model are connected by a twin data information chain.
6. A model system established by the modeling method of claim 1, comprising a service system connected to the twin data, the physical model and the 3D printer digital twin virtual model through twin data information chains, respectively, the twin data connected to the physical model and the 3D printer digital twin virtual model through twin data information chains, respectively, the physical model connected to the 3D printer digital twin virtual model through twin data information chains.
7. The modeling system of claim 6, wherein the physical model comprises a 3D printer body, a sensor and a control system, the sensor is mounted on the 3D printer body, the sensor transmits the speed, position and temperature signals of the print head and the working environment signals of the 3D printer to the control system; the control system collects data of an operation panel of the 3D printer body and data of the sensor, transmits the collected data in a signal mode, and controls the 3D printer to work.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062132.2A CN111159793B (en) | 2020-01-20 | 2020-01-20 | Modeling method and model system based on digital twin five-dimensional model 3D printer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010062132.2A CN111159793B (en) | 2020-01-20 | 2020-01-20 | Modeling method and model system based on digital twin five-dimensional model 3D printer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111159793A true CN111159793A (en) | 2020-05-15 |
| CN111159793B CN111159793B (en) | 2023-08-01 |
Family
ID=70564275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010062132.2A Active CN111159793B (en) | 2020-01-20 | 2020-01-20 | Modeling method and model system based on digital twin five-dimensional model 3D printer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111159793B (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111833426A (en) * | 2020-07-23 | 2020-10-27 | 四川长虹电器股份有限公司 | Three-dimensional visualization method based on digital twinning |
| CN111881495A (en) * | 2020-06-24 | 2020-11-03 | 北京工业大学 | Prestress steel structure safety assessment method based on digital twinning |
| CN111880476A (en) * | 2020-06-29 | 2020-11-03 | 长沙长泰机器人有限公司 | Digital twin system of machine tool |
| CN112291250A (en) * | 2020-10-31 | 2021-01-29 | 贵州电网有限责任公司 | Multi-energy device digital twin data stream communication authority management method and system |
| CN112365579A (en) * | 2020-11-13 | 2021-02-12 | 中南大学湘雅二医院 | Three-dimensional model generation method, device and equipment of breathing mask and storage medium |
| CN112633532A (en) * | 2020-12-29 | 2021-04-09 | 上海工程技术大学 | Train wheel maintenance management system based on digital twinning technology |
| CN113011085A (en) * | 2021-02-26 | 2021-06-22 | 青岛弯弓信息技术有限公司 | Equipment digital twin modeling method and system |
| CN113656981A (en) * | 2021-08-26 | 2021-11-16 | 石硕 | Modelica excitation type-based digital twin system construction method |
| CN113705095A (en) * | 2021-08-27 | 2021-11-26 | 西安科技大学 | Digital twinning modeling method for circulating water pump |
| CN114260893A (en) * | 2021-12-22 | 2022-04-01 | 武汉理工大学 | Method for constructing digital twin model in industrial robot assembly pick-and-place process |
| CN114311609A (en) * | 2022-01-17 | 2022-04-12 | 安徽理工大学 | Extruding machine fault diagnosis system based on digital twinning |
| CN114415913A (en) * | 2022-01-17 | 2022-04-29 | 天津科技大学 | Virtual printer assembly method based on virtual simulation technology |
| CN114638160A (en) * | 2022-05-11 | 2022-06-17 | 西南交通大学 | Knowledge service method for complex equipment digital twin model |
| CN115157675A (en) * | 2022-05-30 | 2022-10-11 | 湘潭大学 | Space assembly system based on-orbit additive manufacturing and foundation launching fusion |
| CN115489125A (en) * | 2022-09-30 | 2022-12-20 | 吉林大学 | Additive manufacturing digital twin system construction method based on cloud service |
| CN115859700A (en) * | 2023-03-02 | 2023-03-28 | 国网湖北省电力有限公司电力科学研究院 | Power grid modeling method based on digital twinning technology |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105005994A (en) * | 2015-07-22 | 2015-10-28 | 深圳市繁维科技有限公司 | 3D scanning assembly, scanning system and 3D printing system |
| US20150321427A1 (en) * | 2014-05-06 | 2015-11-12 | Autodesk, Inc. | Systems and methods for designing programmable parts for models and optimizing 3d printing |
| KR20170014531A (en) * | 2015-07-30 | 2017-02-08 | 주식회사 케이티 | Three-dimensional printing system and method thereof |
| JP2017094625A (en) * | 2015-11-26 | 2017-06-01 | セイコーエプソン株式会社 | Three-dimensional object molding apparatus, three-dimensional object molding method, and control program for three-dimensional object molding apparatus |
| CN107221026A (en) * | 2017-06-12 | 2017-09-29 | 广州畅德科技有限公司 | Educational facilities manufacture implementation method, equipment and memory based on 3D printing |
| CN108107841A (en) * | 2017-12-26 | 2018-06-01 | 山东大学 | A kind of twin modeling method of numerically-controlled machine tool number |
| US20180305266A1 (en) * | 2017-04-24 | 2018-10-25 | Desktop Metal, Inc. | Additive fabrication with infiltratable structures |
| CN108806364A (en) * | 2018-06-08 | 2018-11-13 | 潍坊护理职业学院 | A kind of wisdom simulation type nursing teaching system and construction method based on double net interconnections |
| CN109471377A (en) * | 2018-11-22 | 2019-03-15 | 浙江科技学院 | Based on two twin axis X-Y leather and fur products Cutting machine control methods of number |
| CN109613895A (en) * | 2018-11-12 | 2019-04-12 | 中国电子科技集团公司第三十八研究所 | A kind of intelligence production line number twinned system |
| KR101989982B1 (en) * | 2019-03-08 | 2019-06-17 | 이봉규 | Modeling system and method by analyzing indoor environment based on digital-twin |
| CN110682400A (en) * | 2019-11-04 | 2020-01-14 | 清华大学 | Digital twin structure test system and method based on 3D printing platform |
-
2020
- 2020-01-20 CN CN202010062132.2A patent/CN111159793B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150321427A1 (en) * | 2014-05-06 | 2015-11-12 | Autodesk, Inc. | Systems and methods for designing programmable parts for models and optimizing 3d printing |
| CN105005994A (en) * | 2015-07-22 | 2015-10-28 | 深圳市繁维科技有限公司 | 3D scanning assembly, scanning system and 3D printing system |
| KR20170014531A (en) * | 2015-07-30 | 2017-02-08 | 주식회사 케이티 | Three-dimensional printing system and method thereof |
| JP2017094625A (en) * | 2015-11-26 | 2017-06-01 | セイコーエプソン株式会社 | Three-dimensional object molding apparatus, three-dimensional object molding method, and control program for three-dimensional object molding apparatus |
| US20180305266A1 (en) * | 2017-04-24 | 2018-10-25 | Desktop Metal, Inc. | Additive fabrication with infiltratable structures |
| CN107221026A (en) * | 2017-06-12 | 2017-09-29 | 广州畅德科技有限公司 | Educational facilities manufacture implementation method, equipment and memory based on 3D printing |
| CN108107841A (en) * | 2017-12-26 | 2018-06-01 | 山东大学 | A kind of twin modeling method of numerically-controlled machine tool number |
| CN108806364A (en) * | 2018-06-08 | 2018-11-13 | 潍坊护理职业学院 | A kind of wisdom simulation type nursing teaching system and construction method based on double net interconnections |
| CN109613895A (en) * | 2018-11-12 | 2019-04-12 | 中国电子科技集团公司第三十八研究所 | A kind of intelligence production line number twinned system |
| CN109471377A (en) * | 2018-11-22 | 2019-03-15 | 浙江科技学院 | Based on two twin axis X-Y leather and fur products Cutting machine control methods of number |
| KR101989982B1 (en) * | 2019-03-08 | 2019-06-17 | 이봉규 | Modeling system and method by analyzing indoor environment based on digital-twin |
| CN110682400A (en) * | 2019-11-04 | 2020-01-14 | 清华大学 | Digital twin structure test system and method based on 3D printing platform |
Non-Patent Citations (1)
| Title |
|---|
| 丁凯等: "基于数字孪生的多维度多尺度智能制造空间及其建模方法", 《计算机集成制造系统》, vol. 25, no. 06, pages 1491 - 1504 * |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111881495A (en) * | 2020-06-24 | 2020-11-03 | 北京工业大学 | Prestress steel structure safety assessment method based on digital twinning |
| CN111880476A (en) * | 2020-06-29 | 2020-11-03 | 长沙长泰机器人有限公司 | Digital twin system of machine tool |
| CN111880476B (en) * | 2020-06-29 | 2024-05-31 | 长沙长泰机器人有限公司 | Digital twin system of machine tool |
| CN111833426A (en) * | 2020-07-23 | 2020-10-27 | 四川长虹电器股份有限公司 | Three-dimensional visualization method based on digital twinning |
| CN112291250A (en) * | 2020-10-31 | 2021-01-29 | 贵州电网有限责任公司 | Multi-energy device digital twin data stream communication authority management method and system |
| CN112365579A (en) * | 2020-11-13 | 2021-02-12 | 中南大学湘雅二医院 | Three-dimensional model generation method, device and equipment of breathing mask and storage medium |
| CN112365579B (en) * | 2020-11-13 | 2022-09-27 | 中南大学湘雅二医院 | Three-dimensional model generation method, device and equipment of breathing mask and storage medium |
| CN112633532A (en) * | 2020-12-29 | 2021-04-09 | 上海工程技术大学 | Train wheel maintenance management system based on digital twinning technology |
| CN112633532B (en) * | 2020-12-29 | 2023-06-02 | 上海工程技术大学 | Train wheel maintenance management system based on digital twin technology |
| CN113011085A (en) * | 2021-02-26 | 2021-06-22 | 青岛弯弓信息技术有限公司 | Equipment digital twin modeling method and system |
| CN113011085B (en) * | 2021-02-26 | 2021-10-26 | 青岛弯弓信息技术有限公司 | Equipment digital twin modeling method and system |
| CN113656981A (en) * | 2021-08-26 | 2021-11-16 | 石硕 | Modelica excitation type-based digital twin system construction method |
| CN113705095A (en) * | 2021-08-27 | 2021-11-26 | 西安科技大学 | Digital twinning modeling method for circulating water pump |
| CN113705095B (en) * | 2021-08-27 | 2024-03-19 | 西安科技大学 | Digital twin modeling method for circulating water pump |
| CN114260893A (en) * | 2021-12-22 | 2022-04-01 | 武汉理工大学 | Method for constructing digital twin model in industrial robot assembly pick-and-place process |
| CN114415913A (en) * | 2022-01-17 | 2022-04-29 | 天津科技大学 | Virtual printer assembly method based on virtual simulation technology |
| CN114311609A (en) * | 2022-01-17 | 2022-04-12 | 安徽理工大学 | Extruding machine fault diagnosis system based on digital twinning |
| CN114638160A (en) * | 2022-05-11 | 2022-06-17 | 西南交通大学 | Knowledge service method for complex equipment digital twin model |
| CN115157675A (en) * | 2022-05-30 | 2022-10-11 | 湘潭大学 | Space assembly system based on-orbit additive manufacturing and foundation launching fusion |
| CN115489125A (en) * | 2022-09-30 | 2022-12-20 | 吉林大学 | Additive manufacturing digital twin system construction method based on cloud service |
| CN115859700A (en) * | 2023-03-02 | 2023-03-28 | 国网湖北省电力有限公司电力科学研究院 | Power grid modeling method based on digital twinning technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111159793B (en) | 2023-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111159793B (en) | Modeling method and model system based on digital twin five-dimensional model 3D printer | |
| CN111046597B (en) | Modeling method and modeling system based on digital twin three-dimensional model 3D printer | |
| CN108107841B (en) | Numerical twin modeling method of numerical control machine tool | |
| CN111381515A (en) | Software robot or driver system based on digital twin five-dimensional model and modeling method thereof | |
| Luo et al. | Digital twin for CNC machine tool: modeling and using strategy | |
| CN111208759B (en) | Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine | |
| CN111300381A (en) | Software robot or driver system based on digital twin three-dimensional model and modeling method thereof | |
| CN112085261B (en) | Enterprise production status diagnosis method based on cloud fusion and digital twin technology | |
| CN113887016A (en) | Ship digital workshop simulation method and system based on digital twinning | |
| CN112836404A (en) | Method for constructing digital twin body of structural performance of intelligent excavator | |
| CN110399642A (en) | It is a kind of for the twin body of number and its construction method of production line and application | |
| Zhu et al. | A cyber-physical production system framework of smart CNC machining monitoring system | |
| CN111968004A (en) | High-precision product assembling and adjusting integrated system based on digital twins | |
| CN105807628B (en) | Robot flexibility controller and its implementation for complicated CPS | |
| CN113610290B (en) | Monitoring system applied to coal mine mining equipment based on digital twin technology | |
| US10520919B2 (en) | Systems and methods for receiving sensor data for an operating additive manufacturing machine and mapping the sensor data with process data which controls the operation of the machine | |
| CN112507569A (en) | Digital twin system | |
| Böttjer et al. | A review of unit level digital twin applications in the manufacturing industry | |
| CN117270482A (en) | Automobile factory control system based on digital twin | |
| Zhang et al. | An effective MBSE approach for constructing industrial robot digital twin system | |
| CN113420465A (en) | Hydraulic support full-life cycle management method based on digital twin model | |
| CN114859830A (en) | Digital twin system applied to industrial production | |
| CN113935083B (en) | Rail transit simulation system based on digital twinning | |
| KR20230032675A (en) | System for collecting data using computerized numerical control mother machine | |
| CN113868803A (en) | Mechanism model and dynamic data combined driven cloud-edge combined digital twinning method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |