Integrate Digital Twin to Exist Production System for Industry 4.0

Assawaarayakul, Chaiwat; Srisawat, Wasin; Ayuthaya, Smitti Darakorn Na; Wattanasirichaigoon, Somkiat

doi:10.1109/times-icon47539.2019.9024430

Cited by 17 publications

(7 citation statements)

References 4 publications

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“…For example, refs. [26][27][28] shows a path for creating completely functional DTs where continuous production systems are used to reproduce their physical features for registration, inspection, and digital communication. The objective is to have a structure without automation and obtain the data to perform a virtual analysis of various parameters such as predictive maintenance, dynamics, multiservice platform, configuration, and adaptation with high-efficiency automatic systems that are compatible with the planning system and the ERP (Enterprise Resource Planning) to obtain clients' requirements and gradually develop the automation, to achieve better planning and cost reduction.…”

Section: Related Workmentioning

confidence: 99%

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Caiza

Sanz

2023

Applied Sciences

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Increasing industrial development and digital transformations have given rise to a technology called Digital Twin (DT) that has the potential to break the barrier between physical and cyberspace. DT is a virtual and dynamic model enabled through a bidirectional data flow that creates high-reliability models with interconnection and fusion between the physical and digital systems for full integration. In smart manufacturing, this technology is increasingly used in research and industry. However, the studies conducted do not provide a definition or a single integrally connected model. To develop the Digital Twin shown in this research, the literature was reviewed to learn about the enabling technologies and architectures used at the industrial level. Then, a methodology was used to obtain the physical process information, create the digital environment, communicate the physical environment, apply simulation models in the digital environment, and parameterize the simulation environment with the physical process in real-time to obtain the digital twin supported with augmented reality. The system was implemented in the MPS-500 modular production station that has industrial sensors and actuators. The virtual environment was designed with Blender and Vuforia to create the augmented reality environment. In the proposed methodology, robust devices (field and control level) and low-cost embedded systems were used for the creation and communication of the virtual environment (monitoring and control); for the joint work of these technologies, they were carried out through the use of the following protocols: Open Platform Communications United Architecture (OPC UA), Ethernet, and machine to machine (M2M), with which a communication was achieved between the different levels of the automation pyramid. The results show that the proposed methodology for the implementation of the DT allows bidirectional communication between the physical and virtual environment and can also be visualized with the support of AR, thus providing its characteristics to the proposed DT. Digital Twin is an essential factor in creating virtual environments and improving applications between the real and digital world, establishing a bidirectional communication through the Ethernet protocol, with a communication time of approximately 100 ms. This technology interacts with the virtual environment and performs mappings, thus achieving timely and dynamic adjustment. This improves data management and production and incorporates process simulation and physical control in real-time, allowing to execute and trigger actions in the physical equipment simultaneously.

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Section: Related Workmentioning

confidence: 99%

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Caiza

Sanz

2023

Applied Sciences

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“…This paper [15] presents a DT, based on the simulation tool SIEMENS Plant Simulation (PS), of an industrial production line consisting of a process of qualification, verification and assembly of pneumatic cylinders, whose main objective is to contribute to a better understanding of the inherent link between digital technologies and real hardware, as well as to optimise the process through simulation. In line with this work, where the objective is to go deeper into Industry 4.0 through the DT, the research [16] proposes a DT combined with existing production systems to get data according to the concept of Industry 4.0. The communication is carried out via ModBus TCP and OPC protocol and the analysis of the data is carried out by LabWIEW, with the aim of demonstrating a more efficient Industry 4.0.…”

Section: Related Workmentioning

confidence: 97%

A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.

Martinez-Ruedas,

Flores-Arias,

Moreno-Garcia

et al. 2024

Preprint

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Cyber-physical Systems involve the creation, continuous updating and monitoring of virtual replicas that closely mirror their physical counterparts. These virtual representations are fed by real-time data from sensors, Internet of Things (IoT) devices and other sources, enabling a dynamic and accurate reflection of the state of the physical system. This emphasizes the importance of data synchronization, visualization and interaction within virtual environments as a means to improve decision-making, training, maintenance and overall operational efficiency. This paper presents a novel approach to a cyber-physical system to harness the power of Industry 4.0, Digital Twin technology, Virtual Reality (VR) and 3D SCADA in the context of monitoring and optimizing an olive mill. In conclusion, this paper presents a methodology that leverages digital twins and virtual reality to create an immersive, data-driven simulation and monitoring system for an olive mill. The proposed CPS takes data from the physical environment through the existing sensors and measurement elements in the olive mill, concentrates them and exposes them to the virtual environment through the Open Platform Communication United Architecture (OPC-UA) protocol, thus establishing a bidirectional and real-time communication. Furthermore, in the proposed virtual environment, the digital twin is interfaced with the 3D SCADA system, allowing it to create virtual models of the process. This innovative approach has the potential to revolutionize the olive oil industry by improving operational efficiency, product quality and sustainability, while optimizing maintenance practices.

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“…It is a system that allows building a platform for Industry 4.0 by combining the system with smart sensors [1,2,7,12,17]. Furthermore, a unique solution is using industrial tomography with appropriate algorithms to analyse and diagnose technological processes.…”

Section: General Principles Of the Systemmentioning

confidence: 99%

Sensor Platform of Industrial Tomography for Diagnostics and Control of Technological Processes

Król¹,

Rymarczyk²,

Niderla³

et al. 2023

IAPGOS

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This article presents an industrial tomography platform used to diagnose and control technological processes. The system has been prepared so that it is possible to add individual sensors cooperating with the system of an intelligent cyber-physical platform with an open architecture. Additionally, it is possible to configure and cooperate with external systems freely. As part of the experimental work, a platform has been developed that allows individual subsystems and external customer systems to work together. The cyber-physical system, a new generation of digital systems, focuses mainly on the complex interplay and integration between cyberspace and the physical world. A cyber-physical system consists of highly integrated computational, communication, control and physical elements. The solution focuses mainly on the complex interplay and integration between cyberspace and the physical world.

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Integrate Digital Twin to Exist Production System for Industry 4.0

Cited by 17 publications

References 4 publications

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

Digital Twin to Control and Monitor an Industrial Cyber-Physical Environment Supported by Augmented Reality

A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.

Sensor Platform of Industrial Tomography for Diagnostics and Control of Technological Processes

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