scholarly journals A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance

2021 ◽  
Vol 13 (2) ◽  
pp. 561
Author(s):  
Xiao Chen ◽  
Martin A. Eder ◽  
Asm Shihavuddin ◽  
Dan Zheng
Keyword(s):  
Wind Turbines ◽  
Physical System ◽  
Cyber Physical System ◽  
Digital Twin ◽  
Effective Training ◽  
Human Decision ◽  
Machine Interface ◽  
Key Enabling Technologies ◽  
Novel Concept ◽  
High Level

This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies. The exponential increase in the complexity of next-generation wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving the current Industry 4.0 digital twin technology beyond a sole aid for the human decision-making process, the digital twin in the proposed system is used for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, in which high-level decisions made through a human–machine interface break the autonomy, when needed. This paper also identifies and elaborates key enabling technologies (KETs) that are essential for realizing the proposed HCPS.

scholarly journals A concept for human-cyber-physical systems of future wind turbines towards Industry 5.0

2020 ◽  
Author(s):  
Xiao Chen ◽  
Martin Alexander Eder ◽  
ASM Shihavuddin
Keyword(s):  
Wind Turbines ◽  
Strategic Development ◽  
Physical Systems ◽  
Digital Twin ◽  
Effective Training ◽  
Human Decision ◽  
Machine Interface ◽  
Key Enabling Technologies ◽  
Novel Concept ◽  
High Level

This work proposes a novel concept for a semi-autonomous human-cyber-physical system (HCPS) to operate next-generation wind turbines on the way towards Industry 5.0. The exponential increase in the complexity of future wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving current Industry 4.0 digital twin technology beyond a sole aid for a human decision-making process, the digital twin in the proposed system is utilized for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, making high-level decisions through a human-machine interface to break the autonomy when needed. This paper points out a plausible way to realize the HCPS by identifying strategic development demands for the key enabling technologies projected from readily available knowledge.

scholarly journals A concept for human-cyber-physical systems of future wind turbines towards Industry 5.0

2020 ◽  
Author(s):  
Xiao Chen ◽  
Martin Alexander Eder ◽  
ASM Shihavuddin
Keyword(s):  
Wind Turbines ◽  
Strategic Development ◽  
Physical Systems ◽  
Digital Twin ◽  
Effective Training ◽  
Human Decision ◽  
Machine Interface ◽  
Key Enabling Technologies ◽  
Novel Concept ◽  
High Level

This work proposes a novel concept for a semi-autonomous human-cyber-physical system (HCPS) to operate next-generation wind turbines on the way towards Industry 5.0. The exponential increase in the complexity of future wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving current Industry 4.0 digital twin technology beyond a sole aid for a human decision-making process, the digital twin in the proposed system is utilized for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, making high-level decisions through a human-machine interface to break the autonomy when needed. This paper points out a plausible way to realize the HCPS by identifying strategic development demands for the key enabling technologies projected from readily available knowledge.

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 Multilevel Simulation Methodology for FMECA Study Applied to a Complex Cyber-Physical System

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1736
Author(s):  
Davide Piumatti ◽  
Jacopo Sini ◽  
Stefano Borlo ◽  
Matteo Sonza Reorda ◽  
Radu Bojoi ◽  
...  
Keyword(s):  
Complex Systems ◽  
Physical System ◽  
Electrical Power ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Test Case ◽  
Physical Systems ◽  
Failure Classification ◽  
High Level ◽  
Criticality Analysis

Complex systems are composed of numerous interconnected subsystems, each designed to perform specific functions. The different subsystems use many technological items that work together, as for the case of cyber-physical systems. Typically, a cyber-physical system is composed of different mechanical actuators driven by electrical power devices and monitored by sensors. Several approaches are available for designing and validating complex systems, and among them, behavioral-level modeling is becoming one of the most popular. When such cyber-physical systems are employed in mission- or safety-critical applications, it is mandatory to understand the impacts of faults on them and how failures in subsystems can propagate through the overall system. In this paper, we propose a methodology for supporting the failure mode, effects, and criticality analysis (FMECA) aimed at identifying the critical faults and assessing their effects on the overall system. The end goal is to analyze how a fault affecting a single subsystem possibly propagates through the whole cyber-physical system, considering also the embedded software and the mechanical elements. In particular, our approach allows the analysis of the propagation through the whole system (working at high level) of a fault injected at low level. This paper provides a solution to automate the FMECA process (until now mainly performed manually) for complex cyber-physical systems. It improves the failure classification effectiveness: considering our test case, it reduced the number of critical faults from 10 to 6. The remaining four faults are mitigated by the cyber-physical system architecture. The proposed approach has been tested on a real cyber-physical system in charge of driving a three-phase motor for industrial compressors, showing its feasibility and effectiveness.

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