Collision Prevention In Operation-Synchronized Simulations Using Dynamic Prescheduling Of Simulation Parameters

The increasing use of simulation technologies, especially virtual commissioning, in the context of modern plant development for manufacturing discrete parts is driven by the pressure to shorten time-to-market cycles and overcome supply bottlenecks. The need for robust technologies to seamlessly integrate the digital and physical world is growing as machine data becomes more readily available. A challenge to this integration is presented by the need to continuously adjust the movement parameters, especially for event-discrete actuators based on live data, taking wear, ageing and process-time fluctuations into account. A lack of synchronization leads to discrepancies between the simulation and reality renders them useless. Related works in this field are discussed, which highlight the complexities of achieving synchronization between simulation and reality, particularly in event-discrete signals and systems. The aim of this article is to present a method for reusing virtual commissioning models for operation-synchronized simulations at actuator level. This approach includes introducing of a methodology called prescheduling in order to compensate process uncertainties and also defines the necessary requirements for the simulation tool and model. The method is validated using an industrial test system and a commercial virtual commissioning tool to confirm its suitability for real-life implementation in industrial plants, which suggests its suitability for improving production efficiency and reducing costs by means of machine monitoring and proactive control interventions

A Digital Twin Design of Induction Motor with Squirrel-Cage Rotor for Insulation Condition Prediction

The purpose of this paper is to develop a digital twin of induction motor with a squirrel-cage rotor. The problem of efficient operation of electric motors is primarily related to the reliability of insulation. Meanwhile, there is no such device that could show the operator at least an appropriate value of the insulation resource on the display and warn about possible emergency situation when the current loads of the windings of the electric machine increase. To solve this problem, you can use modern technology based on Digital Twins. The paper analyzes existing developments in this area and draws conclusions about research directions. The construction of a re-duced-order model (ROM) for an induction motor with a squirrel-cage rotor and the layout structure of the blocks of such a model in ANSYS Twin Builder are shown. As input data for the model, archival records of laboratory studies of readings of stator winding currents, rotation speed, temperature, torque on the shaft and others, which were kept from the built laboratory stand, were used. The simulation results indicate the acceptable accuracy of the obtained results, which indicated the possibility of using the developed digital twin of the induction motor both for further deeper research and improvement, and for experimental developments

Technology and quality management: a review of concepts and opportunities in the digital transformation

Purpose - The Digital Transformation brings change to organizations, their processes, and their production systems. Nevertheless, most efforts observed in its context tend to be technology-driven, and it is often argued that Quality Management is inadequately integrated into the discussion. Design/methodology/approach - Surveying the literature, this work reviews, list, and organizes the different technological concepts and integration opportunities that have been explored in the scope of Quality Management in the Digital Transformation. Findings - Findings include the expanded capacity of quality tools and methods for managerial purposes; the reinforced importance of Data Quality; the increased automation and augment resources for Quality control; and the increased process optimization and integration of systems and between organizational areas. Originality/value - It is demonstrated that although scattered in the literature, there are already a number of works exploring the impacts of technology in the management of Quality in the scope of the Digital Transformation. Three main areas for integration arise: (a) Digital Quality Management (application of industry 4.0 technologies to Quality Management itself, its tools, methods, and systems), (b) the management of the Quality of digital products and services, and (c) the management of the Quality of digital product development and production processes.(undefined

Value Generation in the Product Lifecycle with Digital Twins: Status Quo in Swiss Companies

Value generation with digital twins along the phases of the product lifecycle affects different processes from a company's internal perspective. The present study investigated in which phases of the product lifecycle and processes swiss companies seek to generate what value contribution. The results of the survey of 103 companies show that only 47% of the companies surveyed are applying or planning to apply digital twins. The motivation primarily lies in increasing efficiency (79%) or in building competitive advantage (63%). These companies clearly recognize the potential of digital twins to create value in the Beginning-of-Life-phase (79%) and in the Middle-of-Life-phase (60%). In contrest, the use in the End-of-Life-phase (15%) is subordinate. The companies seek to generate value with digital twins by offering qualitatively better products and services in a shorter time or with higher availability. Cost savings seem secondary and overestimated by companies before they apply digital twins

Using Simulation to Leverage Digital Transformation of SMEs: A European Perspective

Digital transformation is one of the main challenges that SMEs face nowadays. Nevertheless, to a great extent, they lack the necessary capacities and skills to introduce and apply technologies that can support digitalization. As a design science approach, researchers from different European countries have carried out the collaborative research project VOIL to collect and scientifically develop resources and tools to support SMEs in building digital skills. In the context of this project, a tool is developed to assess the digital maturity of SMEs. Moreover, a learning journey based on the use of simulators is proposed together with a minimal viable prototype integrating all developed tools to provide a comprehensive learning environment. Lessons learned from the application of said learning online environment in experimental settings are also shared. The project results contribute to the research that has been carried out within the scope of life long learning, proposing the aggregation of pedagogical strategies that allow self-guided learning in the workplace

TRENDS AND PROSPECTS OF DIGITAL TWIN TECHNOLOGIES: A REVIEW

© Quantum Journal of Engineering, Science and Technology (QJOEST). This is an open access article under the CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/The plethora of technologically developed software and digital types of machinery are widely applied for industrial production and the digitalization of building technologies. The fourth industrial revolution and the underlying digital transformation, known as Industry 4.0 is reshaping the way individuals live and work fundamentally. However, the advent of Industry 5.0 remodels the representation of industrial data for digitalization. As a result, massive data of different types are being produced. However, these data are hysteretic and isolated from each other, leading to low efficiency and low utilization of these valuable data. Simulation based on the theoretical and static model has been a conventional and powerful tool for the verification, validation, and optimization of a system in its early planning stage, but no attention is paid to the simulation application during system run-time. Dynamic simulation of various systems and the digitalization of the same is made possible using the framework available with Digital Twin. After a complete search of several databases and careful selection according to the proposed criteria, 63 academic publications about digital twin are identified and classified. This paper conducts a comprehensive and in-depth review of this literature to analyze the digital twin from the perspective of concepts, technologies, and industrial applicationsPeer reviewe

Component Damage Source Identification for Critical Infrastructure Systems

Cyber-Physical Systems (CPS) are becoming increasingly prevalent for both Critical Infrastructure and the Industry 4.0 initiative. Bad values within components of the software portion of CPS, or the computer systems, have the potential to cause major damage if left unchecked, and so detection and locating of where these occur is vital. We further define features of these computer systems and create a use-based system topology. We then introduce a function to monitor system integrity and the presence of bad values as well as an algorithm to locate them. We then show an improved version, taking advantage of several system properties to increase efficiency. We additionally delve into the use of digital twins for simulating potential bad values faster-than-real-time. Finally, we show evidence of our non-digital twin model’s effectiveness through simulation

Digital twin reference model development to prevent operators' risk in process plants

In the literature, many applications of Digital Twin methodologies in the manufacturing, construction and oil and gas sectors have been proposed, but there is still no reference model specifically developed for risk control and prevention. In this context, this work develops a Digital Twin reference model in order to define conceptual guidelines to support the implementation of Digital Twin for risk prediction and prevention. The reference model proposed in this paper is made up of four main layers (Process industry physical space, Communication system, Digital Twin and User space), while the implementation steps of the reference model have been divided into five phases (Development of the risk assessment plan, Development of the communication and control system, Development of Digital Twin tools, Tools integration in a Digital Twin perspective and models and Platform validation). During the design and implementation phases of a Digital Twin, different criticalities must be taken into consideration concerning the need for deterministic transactions, a large number of pervasive devices, and standardization issues. Practical implications of the proposed reference model regard the possibility to detect, identify and develop corrective actions that can affect the safety of operators, the reduction of maintenance and operating costs, and more general improvements of the company business by intervening both in strictly technological and organizational terms

Inovações da Indústria 4.0 na Gestão de Processos na Prestação de Serviços na Construção Civil

Objective: This study aims to understand the impact of technological innovations in Industry 4.0 in the provision of services in the construction sector. Project / methodology / approach: Documental qualitative approach research gathering data from reports related to the civil construction segment (CBIC, 2016a, 2016b, 2018; SEBRAE, 2020; KPMG, 2016; WEF, 2016). The research followed in six steps: formulate the problem, establish a conceptual plan, conduct the research, collect the information, analyze and undertake a general assessment (Létourneau, 2011; Silveira Gontijo & Motta Alves, 2019). Findings: The knowledge circulating among professional service providers in the Civil Construction sector tends to be subjectively built from the practice of the sector operator. Craftsmanship still dominates civil construction processes, however, the industrialization of the sector through machined concrete, the use of machines and automation can make technological transformation feasible. Limitations / implications of research: The access to documents or even their availability is a challenge for the dimensioning of the phenomenon of Industry 4.0 in Civil Construction. Public access publications were sought, however, an overview of the state of the art in terms of digitalization in construction processes was possible. Originality/Value: The technological phenomena addressed in this article are part of a context of the Fourth Industrial Revolution that through Industry 4.0 (Madsen, 2019; Santos et al. 2019). In Civil Construction this digital transformation through automation and digitalization of processes the phenomenon of Industry 4.0 manifests itself as Construction 4.0 (Craveiro et al., 2019).Objetivo: Este estudo tem por objetivo compreender o impacto das inovações tecnológicas da Indústria 4.0 na prestação de serviços no setor da Construção Civil.Projeto / metodologia / abordagem: Pesquisa documental de abordagem qualitativa levantando dados de relatórios ligados ao segmento de construção civil (CBIC, 2016a, 2016b, 2018; SEBRAE, 2020; KPMG, 2016; WEF, 2016). A pesquisa seguiu-se em seis etapas: formular o problema, estabelecer um plano conceitual, realizar a pesquisa, coletar as informações, analisar e empreender uma avaliação geral (Létourneau, 2011; Silveira Gontijo & Motta Alves, 2019).Constatações: O conhecimento que circula por entre os profissionais prestadores de serviços no setor da Construção Civil tende a ser subjetivamente construído a partir da prática do operador do setor. Práticas artesanais ainda dominam os processos da construção civil, no entanto, a industrialização do setor através do concreto usinado, uso de máquinas e automação pode viabilizar a transformação tecnológica.Limitações/implicações da pesquisa: O acesso a documentos ou mesmo disponibilidade dos mesmos é um desafio para o dimensionamento do fenômeno da Indústria 4.0 na Construção Civil. Buscou-se publicações de acesso público, no entanto, foi possível uma visão geral do estado da arte em termos de digitalização nos processos de construção.Originalidade /valor: Os fenômenos tecnológicos abordados neste artigo fazem parte de um contexto da Quarta Revolução Industrial que através da Industria 4.0 (Madsen, 2019; Santos et al. 2019). Na Construção Civil essa transformação digital através da automação e digitalização dos processos o fenômeno da Indústria 4.0 se manifesta como Construção 4.0 (Craveiro et al., 2019)

Leveraging BIM and blockchain for digital twins

The digitalization of the construction industry has been supported recently with various building information modelling (BIM) methods applied to lifecycle stages. This has enabled the transition towards an improved management of information required in the development of different construction project tasks. In a digital construction context, traceability of models and collaboration across disciplines is required especially when dealing with sensitive data and critical infrastructures. Blockchain technology has the potential to advance the automation of processes in the construction industry by offering a higher level of data traceability, incentivising participation, and ensuring transparency with projects. This paper presents how BIM and Blockchain can be utilised to facilitate the establishment and implementation of Digital Twins for construction projects. A highway construction case study is used for demonstrating the implementation of smart contracts for managing tasks and processes across different disciplines involved in a construction project