Digital twin–based cyber-physical system for automotive body production lines

2021 ◽  
Author(s):  
Yoo Ho Son ◽  
Kyu Tae Park ◽  
Donggun Lee ◽  
Seung Woo Jeon ◽  
Sang Do Noh
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
Production Lines ◽  
Digital Twin ◽  
Automotive Body ◽  
Body Production

scholarly journals Digital Twin and Manufacturing Simulation Integrated Platform embedded in cyber-physical system

2021 ◽  
Vol 1983 (1) ◽  
pp. 012117
Author(s):  
Bohan Leng ◽  
He Sun ◽  
Guojin Si ◽  
Tangbin Xia ◽  
Hao Wang
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
Manufacturing Simulation ◽  
Digital Twin ◽  
Integrated Platform

scholarly journals Hardware and Software Infrastructure of Digital Twin Technology

2020 ◽  
Author(s):  
Zakharov L.A ◽  
Derksen L.A.
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Physical System ◽  
Digital Model ◽  
Cyber Physical System ◽  
Product Lifecycle ◽  
Software Infrastructure ◽  
Digital Twin ◽  
Data Product ◽  
Basic Approaches

This article describes of hardware and software infrastructure that provides the implementation of digital double technology. The basic approaches to determining the technologies that make up the infrastructure for the implementation of the digital twin, as well as the benefits of implementing this technology are considered. The need for processing and storing big data, as well as the benefits of implementing this technology, is substantiated. Keywords: digital twin, digital model, big data, product lifecycle, cyber-physical system, automation, machine learning, smart maintenance.

Architecture of a Cyber-Physical System for the Mining Enterprise Ventilation Control Based on the Internet of Things Platform

2021 ◽  
Vol 22 (3) ◽  
pp. 115-123
Author(s):  
A. V. Kychkin ◽  
A. V. Nikolaev
Keyword(s):  
Internet Of Things ◽  
Physical System ◽  
Predictive Analytics ◽  
Underground Mining ◽  
Ventilation System ◽  
The Internet ◽  
Cyber Physical System ◽  
Ventilation Control ◽  
Digital Twin ◽  
The Internet Of Things

The article considers the architecture of the ventilation control system for underground mining enterprises, equipped with a digital twin with online functions such as simulation modeling and predictive analytics. The system is focused on the main fan unit (MFU) control taking into account changing parameters of external air supplied to mine shafts. In contrast to the existing ones, the proposed method of control takes into account the influence of these parameters on changes in the total volume of natural draught, on which the total volume of air supplied to the mine (mine) depends. It is known that ventilation systems of such enterprises consume from 30 to 50 % of all electricity consumed for the mining process. In this regard, the proposed control models can be used to optimize energy costs and energy savings in ventilation. The Internet of things (IoT) InfluxData of stack TICK is offered for the realization. The offered architecture of cyber-physical system (CPS) consists of four subsystems: physical object subsystem, network and computing infrastructure IoT, digital twin, user interface. Architecture of CPS provides data processing from energy meters, control controllers and sensors of air environment parameters, implemented in blocks of on-line and off-line calculations. The digital twin of the ventilation system is made with the use of a time series database and a database of attributes that store information on changes in equipment parameters by time, air indicators, performance indicators, statistics on accidents and fan runtime, CPS characteristics, etc. CPS of the given architecture means connection of additional data sources, providing calculations of rational volumes of air delivery taking into account safety norms and requirements of energy efficiency.

scholarly journals Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4005
Author(s):  
Luis V. Calderita ◽  
Araceli Vega ◽  
Sergio Barroso-Ramírez ◽  
Pablo Bustos ◽  
Pedro Núñez
Keyword(s):  
Assisted Living ◽  
Physical System ◽  
Cognitive Rehabilitation ◽  
Elderly Care ◽  
Cognitive Architecture ◽  
Ambient Assisted Living ◽  
Physical World ◽  
Primary Objective ◽  
Cyber Physical System ◽  
Digital Twin

The advances of the Internet of Things, robotics, and Artificial Intelligence, to give just a few examples, allow us to imagine promising results in the development of smart buildings in the near future. In the particular case of elderly care, there are new solutions that integrate systems that monitor variables associated with the health of each user or systems that facilitate physical or cognitive rehabilitation. In all these solutions, it is clear that these new environments, usually called Ambient Assisted Living (AAL), configure a Cyber-Physical System (CPS) that connects information from the physical world to the cyber-world with the primary objective of adding more intelligence to these environments. This article presents a CPS-AAL for caregiving centers, with the main novelty that includes a Socially Assistive Robot (SAR). The CPS-AAL presented in this work uses a digital twin world with the information acquired by all devices. The basis of this digital twin world is the CORTEX cognitive architecture, a set of software agents interacting through a Deep State Representation (DSR) that stored the shared information between them. The proposal is evaluated in a simulated environment with two use cases requiring interaction between the sensors and the SAR in a simulated caregiving center.

scholarly journals Industrial Cyber-Physical System Evolution Detection and Alert Generation

2019 ◽  
Vol 9 (8) ◽  
pp. 1586 ◽  
Author(s):  
Aitziber Iglesias ◽  
Goiuria Sagardui ◽  
Cristobal Arellano
Keyword(s):  
Monitoring System ◽  
Data Model ◽  
Physical System ◽  
Monitoring Systems ◽  
Cyber Physical System ◽  
Production Lines ◽  
Software Module ◽  
Industrial Manufacturing ◽  
Manufacturing Environments ◽  
Over Time

Industrial Cyber-Physical System (ICPS) monitoring is increasingly being used to make decisions that impact the operation of the industry. Industrial manufacturing environments such as production lines are dynamic and evolve over time due to new requirements (new customer needs, conformance to standards, maintenance, etc.) or due to the anomalies detected. When an evolution happens (e.g., new devices are introduced), monitoring systems must be aware of it in order to inform the user and to provide updated and reliable information. In this article, CALENDAR is presented, a software module for a monitoring system that addresses ICPS evolutions. The solution is based on a data metamodel that captures the structure of an ICPS in different timestamps. By comparing the data model in two subsequent timestamps, CALENDAR is able to detect and effectively classify the evolution of ICPSs at runtime to finally generate alerts about the detected evolution. In order to evaluate CALENDAR with different ICPS topologies (e.g., different ICPS sizes), a scalability test was performed considering the information captured from the production lines domain.

Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop

2018 ◽  
Vol 10 (3) ◽  
pp. 1155-1166 ◽  
Author(s):  
Jiewu Leng ◽  
Hao Zhang ◽  
Douxi Yan ◽  
Qiang Liu ◽  
Xin Chen ◽  
...  
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
Digital Twin
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