This thesis presents the design and prototype implementation of a digital twin based on a knowledge graph for Internet of Things (IoT) platforms. The digital twin is a virtual representation of a physical object or system that must continually integrate and update knowledge in rapidly changing environments. The proposed knowledge graph is designed to store and efficiently query a large number of IoT devices in a complex logical structure, use rule-based reasoning to infer new facts, and integrate unanticipated devices into the existing logical structure in order to adapt to changing environments. The digital twin is implemented using the open-source TypeDB knowledge graph and tested in a simplified automobile production line environment. The main focus of the work is on the integration of unanticipated devices, for which a similarity metric is implemented to identify similar existing devices and determine the appropriate integration into the knowledge graph. The proposed digital twin knowledge graph is a promising solution for managing and integrating knowledge in rapidly changing IoT environments, providing valuable insights and support for decision-making. / I den här avhandlingen presenteras utformningen och prototypimplementeringen av en digital tvilling baserad på en kunskapsgraf för IoT-plattformar (Internet of Things). Den digitala tvillingen är en virtuell representation av ett fysiskt objekt eller system som måste integrera och uppdatera kunskap i snabbt föränderliga miljöer. Den föreslagna kunskapsgrafen är utformad för att lagra och effektivt söka efter en stor uppsättning IoT-enheter i en komplex logisk struktur, använda regelbaserade resonemang för att härleda nya fakta och integrera oväntade enheter i den befintliga logiska strukturen för att anpassa sig till föränderliga miljöer. Den digitala tvillingen genomförs med hjälp av kunskapsgrafen TypeDB med öppen källkod och testas i en förenklad miljö för bilproduktion. Huvudfokus ligger på integrationen av oväntade enheter, för vilka ett likhetsmått implementeras för att identifiera liknande befintliga enheter och bestämma lämplig integration i kunskapsgrafen. Den föreslagna kunskapsgrafen för digitala tvillingar är en lovande lösning för att hantera och integrera kunskap i snabbt föränderliga IoT-miljöer, vilket ger värdefulla insikter och stöd för beslutsfattande. / Esta tesis presenta el diseño e implementación de un prototipo de gemelo digital basado en un grafo de conocimiento para plataformas de Internet de las Cosas (IoT). El gemelo digital es una representación virtual de un objeto o sistema físico que debe integrar y actualizar continuamente el conocimiento en entornos que cambian rápidamente. El grafo de conocimiento propuesto está diseñado para almacenar y consultar eficientemente un gran número de dispositivos IoT en una estructura lógica compleja, utilizar el razonamiento basado en reglas para inferir nuevos hechos e integrar dispositivos imprevistos en la estructura lógica existente para adaptarse a los cambios del entorno. El gemelo digital se implementa utilizando el grafo de conocimiento de código abierto TypeDB y se prueba en un entorno simplificado basado en una línea de producción de automóviles. El objetivo principal del trabajo es la integración de dispositivos no previstos, para lo cual se implementa una métrica de similitud para identificar dispositivos existentes similares y determinar la integración adecuada en el grafo de conocimiento. El grafo de conocimiento propuesto es una solución prometedora para la gestión del conocimiento y la integración en entornos IoT que cambian rápidamente, proporcionando información valiosa y apoyo a la toma de decisiones.

In order to succeed with the Sustainable Development Goals, the mining of minerals will need to not only continue, but increase in the coming years. The extraction of minerals such as gold and cobalt is often associated with human rights violations and the financing of criminal enterprises. This has led to increased pressure on firms to implement effective responsible sourcing practices. While often seen as a major challenge to many firms, if leveraged correctly, responsible sourcing can be turned into significant competitive advantages and increased supply chain visibility. Given the need for more research in this area, the aim of this study is to understand what responsible sourcing practices are used among manufacturing companies so that an approach for responsible sourcing of minerals can be developed. Using a qualitative research design and following a systematic combining approach, interviews with large industrial manufacturers were conducted. Using thematic analysis, this thesis identifies the main drivers, enablers, barriers, and strategies used by manufacturing companies. While the findings show that responsible sourcing is on the agenda for all companies, it is clear that some firms take responsible sourcing more seriously than others. Therefore, it is suggested that firms need to depart from a cost-centric perspective and instead see the benefits and long-term value generated from responsible sourcing. Furthermore, the findings suggest that some companies are becoming increasingly aware of the need to know their supply chain, and how responsible sourcing practices can be beneficial by providing supply chain visibility. However, the current practices are limited because they are an inherently static representation of a dynamic system. The implementation of a supply chain digital twin is therefore presented as a potential way for firms to improve their responsible sourcing practices while at the same time gaining substantial business value. / För att lyckas med målen för hållbar utveckling måste brytningen av mineraler inte bara fortsätta, utan även öka under de kommande åren. Utvinning av mineraler som guld och kobolt är ofta förknippad med kränkningar av mänskliga rättigheter och finansiering av kriminella organisationer. Detta har lett till ett ökat tryck på företag att införa effektiva metoder för ansvarsfullt inköp. Även om det ofta ses som en stor utmaning för många företag kan ansvarsfullt inköp, om det används på rätt sätt, omvandlas till betydande konkurrensfördelar och bidra till ökad synlighet i leveranskedjan. Med tanke på behovet av mer forskning på detta område är syftet med den här studien att förstå vilka metoder för ansvarsfullt inköp som används bland tillverkningsföretag, så att ett tillvägagångssätt för ansvarsfullt inköp av mineraler kan utvecklas. Genom en kvalitativ forskningsdesign och enligt en systematisk kombinationsmetod genomfördes intervjuer med stora tillverkande företag. Med hjälp av tematisk analys identifieras i denna avhandling de viktigaste drivkrafterna, möjliggörarna, hindren och strategierna som används av tillverkningsföretag. Resultaten visar att ansvarsfullt inköp står på agendan för alla företag, men det är tydligt att vissa företag tar ansvarsfullt inköp på större allvar än andra. Därför föreslås det att företag måste avvika från ett kostnadsfokuserat perspektiv och istället se fördelarna och det långsiktiga värdet som genereras av ansvarsfullt inköp. Dessutom tyder resultaten på att vissa företag blir allt mer medvetna om behovet av att känna till sin leverantörskedja och hur ansvarsfulla inköpsmetoder kan vara fördelaktiga genom att ge större synlighet i leverantörskedjan. De nuvarande metoderna är dock begränsade eftersom de är en statisk representation av ett dynamiskt system. Implementeringen av en digital tvilling i försörjningskedjan presenteras därför som ett potentiellt sätt för företag att förbättra sina metoder för ansvarsfulla inköp samtidigt som de får ett betydande affärsvärde.

The Digital Twin (DT), a tool dedicated for decision-making and management, has recently started making its way into today’s digitalized world. It is described as a digital representation of a physical object, system, or process, mimicking its physical counterpart using real-time data and monitoring which can be used for decision-making, optimization, and designing (Singh et al., 2021). Not only can DTs be used for a single object, but can also be implemented on whole cities generating valuable insights improving a city’s management, operability, and realization. However, due to the infancy of the concept, further research is required to presuppose accurate city DTs. This can be done by exploring the implementation of DTs in the different sectors of a city (Shahat et al., 2021). Therefore, this report aims to identify areas in which an university in Sweden could benefit from the implementation of a DT, contributing to the knowledge gap regarding DT implementation in the education sector and furthermore the city DT development as a whole. To identify areas in which the university could benefit from a DT, semi-structured interviews were held with chief positions at the university. The aim of the interviews was to identify the university’s main challenges, and then map the challenges to DT solutions in literature and previous research. The identified challenges at the university were Decision-making processes, Recruitment procedures and forecasting, Quality assurance, and Unclear action plan on becoming a sustainable campus. The challenges Decision-making processes and Recruitment procedures and forecasting were mapped to the Digital Twin of an Organization (DTO). This kind of DT can help organizations with, for instance, responding to changes and delivering value for customers (van der Aalst et al., 2021). The last challenge, Unclear action plan on becoming a sustainable campus, was connected to a DT that can help the university in enhancing its energy management.

The intention to reduce greenhouse gas emissions in the aviation industry is generating high pressure to innovate, which is also leading to an increasing need for improvements in the development process, especially as this is already subject to major changes due to changing products and value creation systems. In the future, the development process should be more digitalized and information better integrated in order to optimize the supply of information to developers. To this end, the following article presents a digital twin for product development, which is being developed as part of a research project on cross-lifecycle integration through digital twins in collaboration with Rolls-Royce Electrical and other research partners. The focus is on describing the conception of the digital twin, which produces a concept that is as user centric as possible based on user stories in order to specifically serve existing needs. The concept of the digital twin will be developed based on the current as-is process and the existing system landscape as well as the use cases derived from the user stories and presented here.

Com as evoluções tecnológicas nas áreas de hardware, microeletrônica, sistemas de informação e computação, o conceito de sistemas ciberfísicos (do inglês Cyber-Physical Systems) vem ganhando importância. Este sistemas se referem à junção entre sistemas computacionais distribuídos e processos físicos da natureza e, são base fundamental para a nova revolução industrial que esta sendo introduzida. Esta revolução industrial é marcada pela completa descentralização do controle dos processos produtivos e uma proliferação de dispositivos inteligentes interconectados, ao longo de toda a cadeia de produção e logística. Sistemas de automação, e particularmente os sistemas de automação industrial, nos quais elementos computacionais controlam e automatizam a execução de processos físicos em plantas industriais, são um exemplo de sistemas ciber-físicos. Com isso, percebe-se que é necessário relacionar objetos físicos a informações associadas a este objeto no mundo cibernético. Para isso, destaca-se o conceito e o uso do Digital Twin, que é uma representação virtual de objetos físicos. O Digital Twin possibilita a virtualização e centralização do controle no produto. Este estudo irá explorar uma metodologia de modelagem genérica e flexível para o Digital Twin usando a ferramenta AutomationML e propor uma arquitetura de comunicação para a troca de dados sob a ótica de Cyber Physical Systems. Com a implementação dessa metodologia, pretende-se validar o conceito proposto e oferecer um método de modelagem e configuração para obter dados, extrair conhecimento e proporcionar sistemas de visualização para os usuários. / With technological advances in the fields of hardware, microelectronics and computer systems, Cyber Physical Systems is a new concept that is gaining importance. This systems are integrations of computation, networking, and physical processes. Cyber Physical Systems are one of the pillars for the new industrial revolution, and it is marked by the complete decentralization of the control of production processes and, marked by a proliferation of interconnected intelligent devices throughout the production and logistics chain. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. A industrial automation system, is an example of cyber physical systems where computational elements control and automate the execution of physical processes in industrial plants. Thus, it is clear the need to relate physical objects to information associated with this object in the cyber world. For this, this work pretends to use the concept of Digital Twin, that is a virtual representation of physical objects. Digital Twin enables the virtualization of physical components and descentralization of control. This study will explore a generic and flexible modeling methodology for Digital Twin using the AutomationML tool. Also this work proposes a communication architecture for the exchange of data from the perspective of Cyber Physical Systems. With the implementation of this methodology, we intend to validate the proposed concept and offer a modeling and configuration method to obtain data, extract knowledge and provide visualization systems for users.

Com as evoluções tecnológicas nas áreas de hardware, microeletrônica, sistemas de informação e computação, o conceito de sistemas ciberfísicos (do inglês Cyber-Physical Systems) vem ganhando importância. Este sistemas se referem à junção entre sistemas computacionais distribuídos e processos físicos da natureza e, são base fundamental para a nova revolução industrial que esta sendo introduzida. Esta revolução industrial é marcada pela completa descentralização do controle dos processos produtivos e uma proliferação de dispositivos inteligentes interconectados, ao longo de toda a cadeia de produção e logística. Sistemas de automação, e particularmente os sistemas de automação industrial, nos quais elementos computacionais controlam e automatizam a execução de processos físicos em plantas industriais, são um exemplo de sistemas ciber-físicos. Com isso, percebe-se que é necessário relacionar objetos físicos a informações associadas a este objeto no mundo cibernético. Para isso, destaca-se o conceito e o uso do Digital Twin, que é uma representação virtual de objetos físicos. O Digital Twin possibilita a virtualização e centralização do controle no produto. Este estudo irá explorar uma metodologia de modelagem genérica e flexível para o Digital Twin usando a ferramenta AutomationML e propor uma arquitetura de comunicação para a troca de dados sob a ótica de Cyber Physical Systems. Com a implementação dessa metodologia, pretende-se validar o conceito proposto e oferecer um método de modelagem e configuração para obter dados, extrair conhecimento e proporcionar sistemas de visualização para os usuários. / With technological advances in the fields of hardware, microelectronics and computer systems, Cyber Physical Systems is a new concept that is gaining importance. This systems are integrations of computation, networking, and physical processes. Cyber Physical Systems are one of the pillars for the new industrial revolution, and it is marked by the complete decentralization of the control of production processes and, marked by a proliferation of interconnected intelligent devices throughout the production and logistics chain. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. A industrial automation system, is an example of cyber physical systems where computational elements control and automate the execution of physical processes in industrial plants. Thus, it is clear the need to relate physical objects to information associated with this object in the cyber world. For this, this work pretends to use the concept of Digital Twin, that is a virtual representation of physical objects. Digital Twin enables the virtualization of physical components and descentralization of control. This study will explore a generic and flexible modeling methodology for Digital Twin using the AutomationML tool. Also this work proposes a communication architecture for the exchange of data from the perspective of Cyber Physical Systems. With the implementation of this methodology, we intend to validate the proposed concept and offer a modeling and configuration method to obtain data, extract knowledge and provide visualization systems for users.

Com as evoluções tecnológicas nas áreas de hardware, microeletrônica, sistemas de informação e computação, o conceito de sistemas ciberfísicos (do inglês Cyber-Physical Systems) vem ganhando importância. Este sistemas se referem à junção entre sistemas computacionais distribuídos e processos físicos da natureza e, são base fundamental para a nova revolução industrial que esta sendo introduzida. Esta revolução industrial é marcada pela completa descentralização do controle dos processos produtivos e uma proliferação de dispositivos inteligentes interconectados, ao longo de toda a cadeia de produção e logística. Sistemas de automação, e particularmente os sistemas de automação industrial, nos quais elementos computacionais controlam e automatizam a execução de processos físicos em plantas industriais, são um exemplo de sistemas ciber-físicos. Com isso, percebe-se que é necessário relacionar objetos físicos a informações associadas a este objeto no mundo cibernético. Para isso, destaca-se o conceito e o uso do Digital Twin, que é uma representação virtual de objetos físicos. O Digital Twin possibilita a virtualização e centralização do controle no produto. Este estudo irá explorar uma metodologia de modelagem genérica e flexível para o Digital Twin usando a ferramenta AutomationML e propor uma arquitetura de comunicação para a troca de dados sob a ótica de Cyber Physical Systems. Com a implementação dessa metodologia, pretende-se validar o conceito proposto e oferecer um método de modelagem e configuração para obter dados, extrair conhecimento e proporcionar sistemas de visualização para os usuários. / With technological advances in the fields of hardware, microelectronics and computer systems, Cyber Physical Systems is a new concept that is gaining importance. This systems are integrations of computation, networking, and physical processes. Cyber Physical Systems are one of the pillars for the new industrial revolution, and it is marked by the complete decentralization of the control of production processes and, marked by a proliferation of interconnected intelligent devices throughout the production and logistics chain. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. A industrial automation system, is an example of cyber physical systems where computational elements control and automate the execution of physical processes in industrial plants. Thus, it is clear the need to relate physical objects to information associated with this object in the cyber world. For this, this work pretends to use the concept of Digital Twin, that is a virtual representation of physical objects. Digital Twin enables the virtualization of physical components and descentralization of control. This study will explore a generic and flexible modeling methodology for Digital Twin using the AutomationML tool. Also this work proposes a communication architecture for the exchange of data from the perspective of Cyber Physical Systems. With the implementation of this methodology, we intend to validate the proposed concept and offer a modeling and configuration method to obtain data, extract knowledge and provide visualization systems for users.

Testování multikomponentních IT a IoT systémů, které zpracovávají proudy různých zpráv je složitou úlohou. Proč je to složité? Kvůli množství komponentů, jejích asynchronní interakcí, různým kombinacím události pro testování, testovacímu prostředí, které se liší od reálného a množství dalším důvodů. Táhle práce navrhuje způsob generování komplexních dat pro testovací účely s minimálním zásahem vývojářů. Generování dat založeno na analýze sledu komunikace reálného systému a následnou syntézou podobných sledů pro testování. Práce také navrhuje framework na prvotní analýzu zpráv přenášených v zachycené komunikace. Tohle může být uděláno použitím různých abstraktních modelů: modelu zprávy a modelu komunikaci. Výsledkem téhle práce je implementovaní knihovna na tvorbu modelu zprávy a množina operací pro práci s tímto modelem.

As a result of the digitalization of industrial processes, huge amounts of data are generated in organizations every second. Developing solutions that properly represent this data is critical for making it useful to the organization's stakeholders. Data visualization is a field within computer science that can be utilized to address this demand by enabling the development of appropriate methods for showing the data output of Digital Twins of the Organization (DTO). A recently proposed architecture for a resilient DTO using the EA Blueprint Pattern provides a promising basis for implementing DTOs that are capable of evolving alongside a dynamic organization. However, there is a lack of implementation of any prototypes of the proposed architecture's Information Architecture, which is responsible for dealing with data and visualizing them. Therefore, this thesis aims to develop a visualization prototype, aligned with the proposed architecture. The thesis achieves this goal by first establishing a theoretical basis in data visualization and applicable visualization techniques through a brief review of research articles. After a systematic selection process of visualization tools, the Python frameworks Plotly and Dash are chosen for designing and implementing a visualization prototype. The final design consists of a Python application containing various features and implementing multiple classes which make the prototype easily modifiable and thus able to evolve. In an industrial use case, the prototype is demonstrated to be fulfilling its requirements. Using the observations from the use case, it is finally concluded that the prototype is, in fact, sufficiently aligned with the proposed DTO architecture.

In the world of software development, there is an increasing demand for software to keep up with rapid changes in its real-world context. A Resilient Digital Twin of an Organization is a type of software whose purpose is to digitally represent an organization or a component of an organization - as a Digital Twin -, and to keep doing so accurately throughout the real-world organization’s changes - a Resilient Digital Twin. An architectural pattern, called the EA Blueprint Pattern, has recently been proposed as a pattern to use for developing Resilient Digital Twins that can change together with the changes in the organization. However, software architecture is not the only factor that enables continuous change and adaptability in software. For software development teams to be able to deliver software rapidly and reliably, the software development process itself must be adapted to allow for frequent and fast changes. From this need, the Agile methodology and subsequently the set of work practises called DevOps has emerged. DevOps leverages automation and fast feedback as tools to facilitate a shorter system development life cycle and continuous delivery. The usage of DevOps is becoming increasingly popular in the software development field. It stands to reason that there is a need to ensure that the EA Blueprint Pattern is appropriate even in a DevOps context, where different tools and routines may be used than in traditional development. To complete this project, a use case of the EA Blueprint Pattern has been moved from a traditionally developed and deployed setting to a DevOps setting that includes essential DevOps tools such as Infrastructure as Code, a cloud environment, and a CI/CD pipeline that enables automatic deployment and therefore a shorter system development life cycle. By doing this, it can be gauged how well the EA Blueprint Pattern is adapted to a modern software development process which utilises the advantages of DevOps.