46 research outputs found

    Digitalized Cross-organizational Interoperability in Industrial Business Ecosystems: Implications and Models for Process Industry

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    Interoperability between industrial organizations is a persistent challenge, particularly as the goal is to enable digitalized communications between information and communications technology (ICT) systems operated by different parties. This paper studies how the current interoperability tools and models support the foundations of digitalized business-to-business communication. While the focus area is plant lifecycle information in process industry, covering investment projects as well as operations and maintenance (O&M), the problems can be generalized to all manufacturing. The results of this study suggest that the current interoperability models and standards offer little support for building cross-organizational interoperability with digitalized tools. Thus, there should be consortia that span the enterprises in process industry, aiming to develop the architecture of collaborative business networks that fulfil sustainable interoperability and the related governance. To accomplish this goal, this paper shows what elements exist and what are lacking, mapping these to European Interoperability Framework (EIF).publishedVersionPeer reviewe

    Data Autonomy in Message Brokers in Edge and Cloud for Mobile Machinery: Requirements and Technology Survey

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    The future data-driven manufacturing ecosystems build upon data spaces where each participant controls how its own data are utilized. This goal is equally important in machinery where the networks comprise machine fleets and the data use cases range from local edge to various cloud systems and digital business integrations. These systems of systems require efficient, scalable data streaming with decoupled (e.g., publish-subscribe) platforms that enable the flexible connection of data producers and consumers in heterogeneous networks. This paper describes a work in progress about data autonomy, sovereignty, and trust in message brokers in machinery, aiming to contribute to initiatives, such as Gaia-X and International Data Spaces (IDS). First, the paper identifies requirements for platforms and communication that span edge and cloud. Second, it presents a technology survey about data autonomy in open, Internet-cabable brokers. These include Advanced Message Queueing Protocol (AMQP), MQ Telemetry Transport (MQTT), Apache Kafka and Apache Pulsar. It appears that there is little research about data autonomy in brokers and MQTT has the strongest base. The work continues to develop data autonomy into a message broker.acceptedVersionPeer reviewe

    Plant-wide interoperability and decoupled, data-driven process control with message bus communication

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    Conventional industrial communication systems suffer from rigidness, inflexibility and lack of scalability. The environment is heterogeneous as the systems exchange data with a variety communication protocols, some of which are proprietary. This makes it laborious and expensive to reconfigure or upgrade the systems. As the solution, this article proposes a message-bus-based communication architecture to enable information exchange between systems regardless of their geographical location and position within the functional hierarchy of the plant. The architecture not only enables communication to cross the conventional physical borders but also provides scalability to growing data volumes and network sizes. As proofs of concept, the article presents a prototype in three environments: a copper smelter, a steel plant and a distillation column. The results suggest that the message-bus-based approach has potential to renew industrial communications, a core part of the fourth industrial revolution.H2020, 723661, COCO

    Interoperability of OPC UA PubSub with Existing Message Broker Integration Architectures

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    Interoperable communication technologies are of key importance in production systems with increasing needs for data in their adoption of data-driven methodologies and new, emerging applications. OPC UA PubSub defines an alternative to the traditional client-server communication with a publish-subscribe model for data to cater to scalability and data-driven cloud application needs. In this paper, the OPC UA PubSub model is compared to some other message broker and communication technologies and integrated with an existing message based integration model for evaluating the interoperability. A case example is presented where data payloads and information security practices are integrated using an adapter approach.acceptedVersionPeer reviewe

    Edge to Cloud Tools: A Multivocal Literature Review

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    Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, and many more purposes have been introduced in research. However, it is still not clear what has been implemented in the industry. This work aims to merge this gap by mapping the existing knowledge on edge-to-cloud tools by providing an overview of the current state of research in this area and identifying research gaps and challenges. For this purpose, we conducted a Multivocal Literature Review (MLR) by analyzing 40 tools from 1073 primary studies (220 PS from the white literature and 853 PS from the gray literature). We categorized the tools based on their characteristics and targeted environments. Overall, this systematic mapping study provides a comprehensive overview of edge-to-cloud tools and highlights several opportunities for researchers and practitioners for future research in this area

    Framework and Development Process for IoT Data Gathering

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    The Internet of Things (IoT) is a growing area in everyday life. New applications under the umbrella term IoT are being developed continually. This development has raised the need for framework definitions for different purposes. This research introduces a special software/hardware framework for data gathering systems to be used in IoT related systems. The purpose of the research is to show the usability of a certain software/hardware combination in prototype development. The software/hardware framework has been developed during several research projects by following the same prototype development process. This is proposed as a descriptive model for the prototyping process. The main contribution of this research is the framework itself. The framework consists of a model of the system with selected components. The placement of the sensor network is also presented. The purpose of the framework is to guide and assist the construction of data gathering prototypes. Furthermore, the advantages of the framework are to support re-usability, portability, and interchangeability. This research introduces the framework, its main components, and their interconnections. In addition, the prototype development process used is presented.Peer reviewe

    Cloud Continuum: The Definition

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    A comparative study on multi-agent and service-oriented microgrid automation systems from energy internet perspective

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    The current advancements of energy, information, communication, and automation technologies and their integration have provided ways for the energy industry to transform into cleaner energy systems. This transition has contributed to the concept called energy internet. The recent energy technologies provide clean energy generation, storage and demand response through distributed energy resources. Information, communication, and automation technologies aim to provide supporting software tools and enabling mechanisms to automate the operation and control of those resources in a coordinated way. Thus, researchers and the software industry are developing software frameworks and platforms to support energy system automation. Commonly, most of the frameworks follow the design principles of either multi-agent systems (MAS) or service-oriented architecture (SOA). However, there are many frameworks and no straightforward criteria to select which one to implement in energy systems’ automation applications to fulfill the energy internet vision. This study provides a conceptual investigation of MAS- and SOA-based software solutions by designing a use case for microgrid application automation considering its expansion for enabling energy internet. Two software frameworks, RIAPS and Arrowhead, have been selected as the candidates of MAS and SOA from the literature study. This study shows that neither MAS or SOA approach alone might not meet the requirements of microgrid automation and energy internet. Consequently, a combined approach of MAS and SOA is proposed.publishedVersionPeer reviewe

    High Oxygen Does Not Increase Reperfusion Injury Assessed with Lipid Peroxidation Biomarkers after Cardiac Arrest: A Post Hoc Analysis of the COMACARE Trial

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    The products of polyunsaturated fatty acid peroxidation are considered reliable biomarkers of oxidative injury in vivo. We investigated ischemia-reperfusion-related oxidative injury by determining the levels of lipid peroxidation biomarkers (isoprostane, isofuran, neuroprostane, and neurofuran) after cardiac arrest and tested the associations between the biomarkers and different arterial oxygen tensions (PaO2). We utilized blood samples collected during the COMACARE trial (NCT02698917). In the trial, 123 patients resuscitated from out-of-hospital cardiac arrest were treated with a 10–15 kPa or 20–25 kPa PaO2 target during the initial 36 h in the intensive care unit. We measured the biomarker levels at admission, and 24, 48, and 72 h thereafter. We compared biomarker levels in the intervention groups and in groups that differed in oxygen exposure prior to randomization. Blood samples for biomarker determination were available for 112 patients. All four biomarker levels peaked at 24 h; the increase appeared greater in younger patients and in patients without bystander-initiated life support. No association between the lipid peroxidation biomarkers and oxygen exposure either before or after randomization was found. Increases in the biomarker levels during the first 24 h in intensive care suggest continuing oxidative stress, but the clinical relevance of this remains unresolved
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