140 research outputs found
Service-oriented architecture for device lifecycle support in industrial automation
Dissertação para obtenção do Grau de Doutor em
Engenharia Electrotécnica e de Computadores
Especialidade: Robótica e Manufactura IntegradaThis thesis addresses the device lifecycle support thematic in the scope of service oriented industrial automation domain. This domain is known for its plethora of heterogeneous equipment encompassing distinct functions, form factors, network interfaces, or I/O specifications supported by dissimilar software and hardware platforms. There is then an evident and crescent need to take every device into account and improve the agility performance during setup, control, management, monitoring and diagnosis phases.
Service-oriented Architecture (SOA) paradigm is currently a widely endorsed approach
for both business and enterprise systems integration. SOA concepts and technology
are continuously spreading along the layers of the enterprise organization envisioning
a unified interoperability solution. SOA promotes discoverability, loose coupling,
abstraction, autonomy and composition of services relying on open web standards – features that can provide an important contribution to the industrial automation domain.
The present work seized industrial automation device level requirements, constraints and needs to determine how and where can SOA be employed to solve some of the existent difficulties. Supported by these outcomes, a reference architecture shaped by distributed, adaptive and composable modules is proposed. This architecture will assist and ease the role of systems integrators during reengineering-related interventions throughout system lifecycle. In a converging direction, the present work also proposes a serviceoriented
device model to support previous architecture vision and goals by including
embedded added-value in terms of service-oriented peer-to-peer discovery and identification, configuration, management, as well as agile customization of device resources.
In this context, the implementation and validation work proved not simply the feasibility and fitness of the proposed solution to two distinct test-benches but also its relevance to the expanding domain of SOA applications to support device lifecycle in the industrial automation domain
Ontologies for the Interoperability of Heterogeneous Multi-Agent Systems in the scope of Energy and Power Systems
Tesis por compendio de publicaciones[ES]El sector eléctrico, tradicionalmente dirigido por monopolios y poderosas
empresas de servicios públicos, ha experimentado cambios significativos en las
últimas décadas. Los avances más notables son una mayor penetración de las
fuentes de energía renovable (RES por sus siglas en inglés) y la generación
distribuida, que han llevado a la adopción del paradigma de las redes inteligentes
(SG por sus siglas en inglés) y a la introducción de enfoques competitivos en los
mercados de electricidad (EMs por sus siglas en inglés) mayoristas y algunos
minoristas. Las SG emergieron rápidamente de un concepto ampliamente
aceptado en la realidad. La intermitencia de las fuentes de energía renovable y su
integración a gran escala plantea nuevas limitaciones y desafíos que afectan en
gran medida las operaciones de los EMs. El desafiante entorno de los sistemas de
potencia y energía (PES por sus siglas en inglés) refuerza la necesidad de
estudiar, experimentar y validar operaciones e interacciones competitivas,
dinámicas y complejas. En este contexto, la simulación, el apoyo a la toma de
decisiones, y las herramientas de gestión inteligente, se vuelven imprescindibles
para estudiar los diferentes mecanismos del mercado y las relaciones entre los
actores involucrados. Para ello, la nueva generación de herramientas debe ser
capaz de hacer frente a la rápida evolución de los PES, proporcionando a los
participantes los medios adecuados para adaptarse, abordando nuevos modelos
y limitaciones, y su compleja relación con los desarrollos tecnológicos y de
negocios.
Las plataformas basadas en múltiples agentes son particularmente
adecuadas para analizar interacciones complejas en sistemas dinámicos, como
PES, debido a su naturaleza distribuida e independiente. La descomposición de
tareas complejas en asignaciones simples y la fácil inclusión de nuevos datos y
modelos de negocio, restricciones, tipos de actores y operadores, y sus
interacciones, son algunas de las principales ventajas de los enfoques basados en
agentes. En este dominio, han surgido varias herramientas de modelado para
simular, estudiar y resolver problemas de subdominios específicos de PES. Sin
embargo, existe una limitación generalizada referida a la importante falta de
interoperabilidad entre sistemas heterogéneos, que impide abordar el problema
de manera global, considerando todas las interrelaciones relevantes existentes.
Esto es esencial para que los jugadores puedan aprovechar al máximo las
oportunidades en evolución. Por lo tanto, para lograr un marco tan completo aprovechando las herramientas existentes que permiten el estudio de partes
específicas del problema global, se requiere la interoperabilidad entre estos
sistemas.
Las ontologías facilitan la interoperabilidad entre sistemas heterogéneos al
dar un significado semántico a la información intercambiada entre las distintas
partes. La ventaja radica en el hecho de que todos los involucrados en un dominio
particular los conocen, comprenden y están de acuerdo con la conceptualización
allí definida. Existen, en la literatura, varias propuestas para el uso de ontologías
dentro de PES, fomentando su reutilización y extensión. Sin embargo, la mayoría
de las ontologías se centran en un escenario de aplicación específico o en una
abstracción de alto nivel de un subdominio de los PES. Además, existe una
considerable heterogeneidad entre estos modelos, lo que complica su integración
y adopción. Es fundamental desarrollar ontologías que representen distintas
fuentes de conocimiento para facilitar las interacciones entre entidades de
diferente naturaleza, promoviendo la interoperabilidad entre sistemas
heterogéneos basados en agentes que permitan resolver problemas específicos de
PES.
Estas brechas motivan el desarrollo del trabajo de investigación de este
doctorado, que surge para brindar una solución a la interoperabilidad de
sistemas heterogéneos dentro de los PES. Las diversas aportaciones de este
trabajo dan como resultado una sociedad de sistemas multi-agente (MAS por sus
siglas en inglés) para la simulación, estudio, soporte de decisiones, operación y
gestión inteligente de PES. Esta sociedad de MAS aborda los PES desde el EM
mayorista hasta el SG y la eficiencia energética del consumidor, aprovechando
las herramientas de simulación y apoyo a la toma de decisiones existentes,
complementadas con las desarrolladas recientemente, asegurando la
interoperabilidad entre ellas. Utiliza ontologías para la representación del
conocimiento en un vocabulario común, lo que facilita la interoperabilidad entre
los distintos sistemas. Además, el uso de ontologías y tecnologías de web
semántica permite el desarrollo de herramientas agnósticas de modelos para una
adaptación flexible a nuevas reglas y restricciones, promoviendo el razonamiento
semántico para sistemas sensibles al contexto
Data Spaces
This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical
Kommunikation und Bildverarbeitung in der Automation
In diesem Open Access-Tagungsband sind die besten Beiträge des 11. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2020) und des 7. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2020) enthalten. Die Kolloquien fanden am 28. und 29. Oktober 2020 statt und wurden erstmalig als digitale Webveranstaltung auf dem Innovation Campus Lemgo organisiert. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschauliche Anwendungsbeispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug
Data Spaces
This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical
Operator interfaces for the lifecycle support of component based automation systems
Current manufacturing automation systems (specifically the powertrain sector)
have been facing challenges with constant pressures of globalisation,
environmental concerns and ICT (Information and Communication Technology)
innovations. These challenges instigate new demands for shorter product
lifecycles and require customised products to be manufactured as efficiently as
possible. Manufacturing systems must therefore be agile to remain competitive
by supporting frequent reconfigurations involving distributed engineering
activities. [Continues.
Web service control of component-based agile manufacturing systems
Current global business competition has resulted in significant challenges for
manufacturing and production sectors focused on shorter product lifecyc1es, more diverse
and customized products as well as cost pressures from competitors and customers. To
remain competitive, manufacturers, particularly in automotive industry, require the next
generation of manufacturing paradigms supporting flexible and reconfigurable production
systems that allow quick system changeovers for various types of products. In addition,
closer integration of shop floor and business systems is required as indicated by the
research efforts in investigating "Agile and Collaborative Manufacturing Systems" in
supporting the production unit throughout the manufacturing lifecycles.
The integration of a business enterprise with its shop-floor and lifecycle supply partners
is currently only achieved through complex proprietary solutions due to differences in
technology, particularly between automation and business systems. The situation is
further complicated by the diverse types of automation control devices employed.
Recently, the emerging technology of Service Oriented Architecture's (SOA's) and Web
Services (WS) has been demonstrated and proved successful in linking business
applications. The adoption of this Web Services approach at the automation level, that
would enable a seamless integration of business enterprise and a shop-floor system, is an
active research topic within the automotive domain. If successful, reconfigurable
automation systems formed by a network of collaborative autonomous and open control
platform in distributed, loosely coupled manufacturing environment can be realized
through a unifying platform of WS interfaces for devices communication.
The adoption of SOA- Web Services on embedded automation devices can be achieved
employing Device Profile for Web Services (DPWS) protocols which encapsulate device
control functionality as provided services (e.g. device I/O operation, device state
notification, device discovery) and business application interfaces into physical control
components of machining automation. This novel approach supports the possibility of
integrating pervasive enterprise applications through unifying Web Services interfaces
and neutral Simple Object Access Protocol (SOAP) message communication between
control systems and business applications over standard Ethernet-Local Area Networks
(LAN's). In addition, the re-configurability of the automation system is enhanced via the
utilisation of Web Services throughout an automated control, build, installation, test,
maintenance and reuse system lifecycle via device self-discovery provided by the DPWS
protocol...cont'd
Palvelukeskeiset liiketoimintaprosessit käynnissäpidon toimintojen mallintamisessa
Service-Oriented Architecture (SOA) is a paradigm for modeling the interaction of different parties in a distributed system. In SOA, a high abstraction level leads to platform-independent interoperability. Moreover, different parties are only loosely coupled to each other. As a result of these, SOA is a scalable and flexible architecture.
As industrial automation systems are typically inflexible and expensive to install or to modify, it would be beneficial to have all devices interact in the SOA manner. However, current technologies to implement a SOA are problematic from the devices point of view. The technologies require a lot of computational resources, and they also lack support for hard real-time functions. Work has been done to overcome these challenges, but especially hard real-time capable SOA cannot currently be implemented.
Despite their limitations, current SOA technologies can be used for several functions of industrial plants. In this study, service-oriented solutions are created for the estimation of environmental footprints and for condition monitoring. The solutions are modeled as diagrams using a standard graphical notation after which the diagrams are converted to an executable language.
Both implementations show the efficiency of the selected modeling method. The principles of SOA enable the reuse of different resources flexibly in different applications which saves work. A standard structured data format was used in both solutions, and it facilitates integration. As there is a built-in support for the format in modern applications, a solution designer can concentrate on data contents on a high level. Compatibility problems were also encountered, but they were overcome using wrapper services. There were also other integration problems with the technologies used. Despite the problems, graphical modeling saves time compared to textual methods to model communication. It was also recognized that careful design is required in distributed systems to avoid performance problems. /Kir1
Component-based control system development for agile manufacturing machine systems
It is now a common sense that manufactures including machine suppliers and system
integrators of the 21 st century will need to compete on global marketplaces, which are
frequently shifting and fragmenting, with new technologies continuously emerging.
Future production machines and manufacturing systems need to offer the "agility"
required in providing responsiveness to product changes and the ability to
reconfigure. The primary aim for this research is to advance studies in machine
control system design, in the context of the European project VIR-ENG - "Integrated
Design, Simulation and Distributed Control of Agile Modular Machinery"
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