A manufacturing model to support data-driven applications for design and manufacture

This thesis is primarily concerned with conceptual work on the Manufacturing Model. The Manufacturing Model is an information model which describes the manufacturing capability of an enterprise. To achieve general applicability, the model consists of the entities that are relevant and important for any type of manufacturing firm, namely: manufacturing resources (e.g. machines, tools, fixtures, machining cells, operators, etc.), manufacturing processes (e.g. injection moulding, machining processes, etc.) and manufacturing strategies (e.g. how these resources and processes are used and organized). The Manufacturing Model is a four level model based on a de—facto standard (i.e. Factory, Shop, Cell, Station) which represents the functionality of the manufacturing facility of any firm. In the course of the research, the concept of data—driven applications has emerged in response to the need of integrated and flexible computer environments for the support of design and manufacturing activities. These data—driven applications require the use of different information models to capture and represent the company's information and knowledge. One of these information models is the Manufacturing Model. The value of this research work is highlighted by the use of two case studies, one related with the representation of a single machining station, and the other, the representation of a multi-cellular manufacturing facility of a high performance company

Architecture framework of IoT-based food and farm systems: A multiple case study

The Internet of Things (IoT) is expected to be a real game changer in food and farming. However, an important challenge for large-scale uptake of IoT is to deal with the huge heterogeneity of this domain. This paper develops and applies an architecture framework for modelling IoT-based systems in the agriculture and food domain. The framework comprises a coherent set of architectural viewpoints and a guideline to use these viewpoints to model architectures of individual IoT-based systems. The framework is validated in a multiple case study of the European IoF2020 project, including different agricultural sub sectors, conventional and organic farming, early adopters and early majority farmers, and different supply chain roles. The framework provides a valuable help to model, in a timely, punctual and coherent way, the architecture of IoT-based systems of this diverse set of use cases. Moreover, it serves as a common language for aligning system architectures and enabling reuse of architectural knowledge among multiple autonomous IoT-based systems in agriculture and food

Semantic and Knowledge Engineering Using ENVRI RM

The ENVRI Reference Model provides architects and engineers with the means to describe the architecture and operational behaviour of environmental and Earth science research infrastructures (RIs) in a standardised way using the standard terminology. This terminology and the relationships between specific classes of concept can be used as the basis for the machine-actionable specification of RIs or RI subsystems. Open Information Linking for Environmental RIs (OIL-E) is a framework for capturing architectural and design knowledge about environmental and Earth science RIs intended to help harmonise vocabulary, promote collaboration and identify common standards and technologies across different research infrastructure initiatives. At its heart is an ontology derived from the ENVRI Reference Model. Using this ontology, RI descriptions can be published as linked data, allowing discovery, querying and comparison using established Semantic Web technologies. It can also be used as an upper ontology by which to connect descriptions of RI entities (whether they be datasets, equipment, processes, etc.) that use other, more specific terminologies. The ENVRI Knowledge Base uses OIL-E to capture information about environmental and Earth science RIs in the ENVRI community for query and comparison. The Knowledge Base can be used to identify the technologies and standards used for particular activities and services and as a basis for evaluating research infrastructure subsystems and behaviours against certain criteria, such as compliance with the FAIR data principles

An ontology for ISO software engineering standards: 1) Creating the infrastructure

Software engineering standards developed under the auspices of ISO/IEC JTC1's SC7 have been identified as employing terms whose definitions vary significantly between standards. This led to a request in 2012 to investigate the creation of an ontological infrastructure that aims to be a single coherent underpinning for all SC7 standards, present and future. Here, we develop that necessary infrastructure prior to its adoption by SC7 and its implementation (likely 2014). The proposal described here requires, firstly, the identification of a single comprehensive set of definitions, the definitional elements ontology (DEO). For the scope of an individual standard, only a subset of these definitional elements will be needed. Once configured, this definitional subset creates a configured definitional ontology or CDO. Both the DEO and the CDO are essentially foundational ontologies from which a domain-specific ontology known as a SDO or standard domain ontology can be created. Consequently, all such SDOs are conformant to a CDO and hence to the single DEO thus ensuring that all standards use the same ontological base. Standards developed in this fashion will therefore be not only of a higher quality but also, importantly, interoperable. © 2013 Elsevier B.V. All rights reserved

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions

Tendências em sistemas inteligentes de transporte aplicados a ônibus : análise da cidade de Porto Alegre

É crescente a demanda por soluções que lidem com o fluxo de viagens nas cidades do século XXI. Como solução, surgem tecnologias que auxiliam no planejamento, controle e operação de sistemas de transporte, chamados Intelligent Transportation Systems. Sabe-se, no entanto, que há desafios atrelados à aplicação destas tendências, principalmente em países em desenvolvimento. Neste trabalho, coletou-se aplicações em ITS ao redor do mundo e propostas de novos sistemas na literatura acadêmica. Posteriormente, foram realizadas entrevistas com o órgão gestor e a instituição representante das empresas privadas de ônibus da cidade de Porto Alegre (Brasil). Discutiu-se o cenário atual do ITS para ônibus na cidade, além dos entraves e perspectivas para implementação das tendências pesquisadas. Conclui-se que ainda são necessários investimentos em sistemas de base que possibilitem a aplicação de conceitos recentes. Ademais, a falta de subsídios, aliada a uma crise setorial, resultam em escassez de recursos para projetos.The demand for solutions to the traffic problem of the cities of Century XXI is increasing. To solve this, technologies arise to help planning, controlling and operating transportation systems, named Intelligent Transportation Systems. However, there are challenges related to the application of these tendencies, mainly in underdeveloped countries. In this article, ITS cases around the world were collected, as well as innovative proposals coming from academic articles. Posteriorly, the organization responsible for managing the transportation and the entity representing the bus companies in the city of Porto Alegre (Brazil) were interviewed. The scenario of ITS for buses was discussed, besides the hindrances and perspectives to implement the examined cases and tendencies. It’s concluded that investments in introductory systems are still necessary to enable the application of the most recent concepts in ITS. Furthermore, the lack of subsidies together with a sectorial crisis result in scarcity of resources to projects