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

Author(s):  
Xiao Chen ◽  
Martin Alexander Eder ◽  
ASM Shihavuddin

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.

2020 ◽  
Author(s):  
Xiao Chen ◽  
Martin Alexander Eder ◽  
ASM Shihavuddin

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.


2021 ◽  
Vol 13 (2) ◽  
pp. 561
Author(s):  
Xiao Chen ◽  
Martin A. Eder ◽  
Asm Shihavuddin ◽  
Dan Zheng

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.


2019 ◽  
Vol 38 ◽  
pp. 1095-1102 ◽  
Author(s):  
Julio Garrido Campos ◽  
Juan Sáez López ◽  
José Ignacio Armesto Quiroga ◽  
Angel Manuel Espada Seoane

Author(s):  
Chao Liu ◽  
Pingyu Jiang ◽  
Chaoyang Zhang

The interconnection among heterogeneous sensors and data acquisition equipment in cyber-physical systems have profound significance in achieving adaptability, flexibility, and transparency. Various middlewares have been developed in cyber-physical systems to collect, aggregate, correlate, and translate system monitoring data. Existing middleware solutions are normally highly customized, which face several challenges due to the highly dynamic and harsh production environments. The data generated by sensors can only be shared by specific applications, which prevents the reusability of sensors. Moreover, the lack of uniform access to sensors causes high cost and low efficiency in application development. To address these issues, a resource-oriented middleware architecture called ROMiddleware was proposed, and three key enabling technologies including heterogeneous sensor modeling and grouping, open application programming interfaces development, and token-based access right control mechanism have been developed. Under the guidance of the key enabling technologies, a prototype of ROMiddleware was implemented and its performance was evaluated. Finally, two applications were developed to stress the significance of ROMiddleware. The results show that ROMiddleware can meet the requirements of data acquisition in cyber-physical systems.


Author(s):  
Aleksandr V. Babkin ◽  
◽  
Elena V. Shkarupeta ◽  
Vladimir A. Plotnikov ◽  
◽  
...  

Ten years after the first introduction of Industry 4.0 at Hannover trade fair as a concept of German industry efficiency improvement, the European Commission announced a new industrial evolution – Industry 5.0 and revealed an updated representation of Industry 5.0 as a result of attaining of triad forming stability, human-centricity and industry viability. At the nexus of the fourth and fifth phases of industry evolutions, new objects arise – intelligent cyber-social ecosystems that use the strengths of cyber-physical ecosystems, changing under the influence of digital end-to-end technologies, combined with human and artificial intelligence. The purpose of this research is to present a conceptual model of an intelligent (“smart”) cyber-social ecosystem based on multimodal hyperspace within the conditions of Industry 5.0. The research methodology includes systems science, metasystemic, ecosystemic, value-based, cyber-socio-techno-cognitive approaches; concepts of platforms, creator economy, Open innovations 2.0 based on an innovative model of a quadruple helix. As a result of this research, the evolution of the establishment and development of an ecosystemic paradigm in economic science is shown. The study describes a cognitive transition from cyber-physical systems of Industry 4.0 to intelligent cyber-social ecosystems as objects of Industry 5.0. A conceptual model has been originated, in which a cyber-social ecosystem is introduced as an ecosystem of new metalevel (“metasystem”), evolving under the conditions of the transition from Industry 4.0 to Industry 5.0 based on cyber-social values of human-centricity, stability and viability. The model is notable for its high level of cybernetic hyperconvergence, socioecosystemic, technological and cognitive modality to achieve ethical social goals, sustainable welfare for all humanity and each individual person, taking into account the scope of planetary capacity.


Author(s):  
Aparajithan Sivanathan ◽  
Scott Mcgibbon ◽  
Theodore Lim ◽  
James Ritchie ◽  
Mohamed Abdel-Wahab

Cyber-physical systems enable new digital ecologies in industrial and workplace lifelong learning. This paper reports on early efforts in delivering a virtual environment and system for vocational education and training (VET), in particular targeting the needs of craft and trade skills. The domain of stone masonry is presented herein, where its underpinning activities are learning through virtual environments, simulation and role play. The challenges are not only the synchronicity between physical and software components but also the in-game mechanics that incorporate building blocks of effective training and skills development strategies. A prototype body-area sensor network in a cyber-physical game environment demonstrates the interaction between virtual objects and the player-learner.


2021 ◽  
Author(s):  
Kenneth M. Bryden ◽  
Scott Ferguson

Abstract This paper examines decision making under radical uncertainty in engineering design, that is, engineering decision making in those situations where it is not possible to know the outcomes and/or construct the utility functions and probabilities needed to support rational-human decision making. In these situations, despite being faced with radical uncertainty, engineers do (and must) proceed forward in a linear, clear, and predictable manner. Yet, they may not proceed in a manner that is well described by current engineering design frameworks. Examining the role of decision making in business and other social enterprises, Tuckett and Nikolic [1] have proposed conviction narrative theory (CNT) to describe how rational decision-makers confronted with situations in which insufficient information is available to support traditional decision-making tools use narrative and intuition to reach convincing and actionable decisions. This paper proposes that, in a manner similar to what is described in CNT, narrative and engineering judgment play a critical role in engineering design situations dominated by radical uncertainty. To that end, this paper integrates the traditional rational-human view of decision making as expressed by Hazelrigg in the well-known Decision-Based Design (DBD) framework and CNT as proposed by Tuckett and Nikolic. In the resulting rational, narrative-based design framework, narrative structures are used to describe and develop design alternatives and provide the ideas, beliefs, and preferences needed by the DBD framework. The resulting preferred design is expressed as a narrative and tested using engineering judgement. Specifically, the goal of the design process is expressed as a high-level guiding narrative that fosters the development of design narratives (design alternatives), and ultimately results in a convincing narrative that describes the preferred design. The high-level guiding narrative outlines the event(s), entity(s), preferences, and beliefs needed to support the design. The design narratives are narrative fragments that are nested within the high-level narrative and include the proposed action (idea), the specific challenges that the design faces, and the possible (but not yet verified) outcomes. The convincing narrative is the validated, preferred option that results from the DBD analysis and optimization process and is reviewed using engineering judgement. Following development of the rational, narrative-based design framework, the value of the framework is discussed within the context of practical engineering design.


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