Digital twin modeling method for CNC machine tool

Luo, Weilin; Hu, Tianliang; Zhu, Wendan; Tao, Fei

doi:10.1109/icnsc.2018.8361285

Cited by 62 publications

(41 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…OPC-UA technology comes in handy in addressing this need as it enables a platform-independent interoperability standard for moving data between systems and devices in operation. Intelligent services can utilise data to optimise operations or perform predictive maintenance only if the right levels and standards of connectivity are met [19].…”

Section: Integration Of Machine Learning In Digital Twins and Opc-uamentioning

confidence: 99%

Digital Triplet Approach for Real-Time Monitoring and Control of an Elevator Security System

Gichane

Byiringiro

Kibor

et al. 2020

Designs

View full text Add to dashboard Cite

As Digital Twins gain more traction and their adoption in industry increases, there is a need to integrate such technology with machine learning features to enhance functionality and enable decision making tasks. This has lead to the emergence of a concept known as Digital Triplet; an enhancement of Digital Twin technology through the addition of an ’intelligent activity layer’. This is a relatively new technology in Industrie 4.0 and research efforts are geared towards exploring its applicability, development and testing of means for implementation and quick adoption. This paper presents the design and implementation of a Digital Triplet for a three-floor elevator system. It demonstrates the integration of a machine learning (ML) object detection model and the system Digital Twin. This was done to introduce an additional security feature that enabled the system to make a decision, based on objects detected and take preliminary security measures. The virtual model was designed in Siemens NX and programmed via Total Integrated Automation (TIA) portal software. The corresponding physical model was fabricated and controlled using a Programmable Logic Controller (PLC) S7 1200. A control program was developed to mimic the general operations of a typical elevator system used in a commercial building setting. Communication, between the physical and virtual models, was enabled using the OPC-Unified Architecture (OPC-UA) protocol. Object recognition using “You only look once” (YOLOV3) based machine learning algorithm was incorporated. The Digital Triplet’s functionality was tested, ensuring the virtual system duplicated actual operations of the physical counterpart through the use of sensor data. Performance testing was done to determine the impact of the ML module on the real-time functionality aspect of the system. Experiment results showed the object recognition contributed an average of 1.083 s to an overall signal travel time of 1.338 s.

show abstract

Section: Integration Of Machine Learning In Digital Twins and Opc-uamentioning

confidence: 99%

Digital Triplet Approach for Real-Time Monitoring and Control of an Elevator Security System

Gichane

Byiringiro

Kibor

et al. 2020

Designs

View full text Add to dashboard Cite

show abstract

“…A similar implementation is described in [10]. In [11], a UML-based digital twin modeling method for a CNC machine tool is proposed. This method encompasses a multi-domain unified modeling method, a mapping method and an autonomous strategy.…”

Section: Related Workmentioning

confidence: 99%

Digital Twins for Manufacturing Using UML and Behavioral Specifications

Azangoo

Taherkordi

Blech

2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

View full text Add to dashboard Cite

Using digital twins, physical manufacturing objects can be virtualized and represented as digital models which are seamlessly integrated in both the physical and the digital space. This allows to simulate, verify and optimize production systems, from the logistical aspects to the manufacturing process and the involved components. A key challenge, in this area, is how to describe digital twins in complex manufacturing systems such that all physical details, processes, and verification needs are modeled at an appropriate and efficient abstraction level, e.g., modeling and detecting divers faults in production processes. To address this challenge, in this paper we present our work on modeling digital twins of manufacturing facilities using UML. UML class diagrams are used to describe static dependencies between entities, as well as to monitor and analyze the dynamic verification and quality aspects of manufacturing such as fault detection and consistency checks. Utilizing the key relevant features of UML in our approach, the designed class diagrams are used and enriched with behavioral models serving as digital twins which can be updated by live data from the manufacturing plant. We present a small example based on simulation programs and a demonstrator. The presented modeling approach and example provide useful insights to UML-based design of digital twins in complex manufacturing systems.

show abstract

“…It includes rules of constraints, associations and deductions [13] and it stores and analyses the running status data, then it makes decisions using machine learning algorithm. The geometric, physical, behaviour and collaborative models are descriptive models [19], while the decision-making model is an intelligent model [19] and it could be related to data-driven approach. The data-driven approaches refer to models derived from processed data (e.g.…”

Section: State Of Artmentioning

confidence: 99%

Data-Driven Pattern-Based Constructs Definition for the Digital Transformation Modelling of Collaborative Networked Manufacturing Enterprises

Semeraro

Lezoche

Panetto

et al. 2019

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

The digital transformation of collaborative networked manufacturing enterprises requires building and applying digital models representing the set of resources and processes knowledge. Modelling such digital copy of the physical system to perform real-time validation and optimization is quite complex and thus needs a big amount of data and some modelling patterns representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the core challenge of the digital transformation modelling is to create a modular "digital model", namely a decomposable and re-composable model, towards different applications. The authors propose an approach based on the combination of data-driven and modeldriven approaches, to identify and formalize modelling patterns, that combine for developing a modular executable model of the studied system.

show abstract

Digital twin modeling method for CNC machine tool

Cited by 62 publications

References 9 publications

Digital Triplet Approach for Real-Time Monitoring and Control of an Elevator Security System

Digital Triplet Approach for Real-Time Monitoring and Control of an Elevator Security System

Digital Twins for Manufacturing Using UML and Behavioral Specifications

Data-Driven Pattern-Based Constructs Definition for the Digital Transformation Modelling of Collaborative Networked Manufacturing Enterprises

Contact Info

Product

Resources

About