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Far vs. Near: A Decision Framework for Cloud and Edge Use in the process Industry 22

Far vs. Near: A Decision Framework for Cloud and Edge Use in...

引用

22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Vogt, Lucas Charania, Zohra Urbas, Leon Process-to-Order Lab TU Dresden Dresden Germany Process Control Systems TU Dresden Dresden Germany

ISBN: (纸本)9798331527471

The technology readiness levels of cloud infrastructure and edge devices have increased significantly in recent years. This means that companies now have a growing number of computing environments at their disposal that could be suitable for the computing and control tasks involved in their production processes. Consequently, the need arises to select the best computing environment based on objective criteria and metrics. In order to create the basis for such a decision-making process, first an overview of the definitions and a comparison between edge and cloud environments is provided. Then a decision-making framework is derived that aims to facilitate this selection process. This is accomplished by providing a set of criteria that can be detailed to analyze a given use case. This analysis is then represented in a custom radar chart, which offers decision-makers a compact but meaningful representation of the decision space. Finally, the limits and future potentials of such a decision-making framework are discussed. © 2024 IEEE.

关键词： Cloud platforms

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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the process Industry 22

Bringing Human Cognition to Machines: Introducing Cognitive ...

引用

22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Charania, Zohra Vogt, Lucas Klose, Anselm Urbas, Leon Process Control Systems TU Dresden Dresden Germany Process-to-Order Lab TU Dresden Dresden Germany

ISBN: (纸本)9798331527471

In the era of Industry 4.0 (I4.0), Cyber Physical Production systems (CPPS) and upcoming industrial transformations, there's a great impulse for smarter, more connected, and adaptable industries. To support this shift, our industrial devices need to be upgraded. They should not only do their usual tasks reliably but also support new technologies like Artificial Intelligence (AI), Machine Learning (ML), Digital Twins (DT), etc. seamlessly. This is where cognition in devices becomes significant. This paper showcases an innovative cognitive system design for edge devices for control, drawing inspiration from the well-established concept of cognitive control. This approach highlights the symphonious existence of conscious (controlled) and unconscious (automatic) processing. The system architecture demonstrates the concurrent processing of real-time tasks, like control loops, field devices, etc., and non-real-time tasks such as AI, ML, Neural Network (NN) models, DT models, etc. within the edge device. This corresponds to the unconscious and conscious cognitive functions in human beings. This paper outlines the characteristics of such cognitive devices. The potential technologies that can help in achieving these characteristics like virtualization, multi-core edge devices, concurrency, etc. have also been explored. Additionally, a proof-of-concept demonstration use case has been presented that exhibits the implementation of the Open Cognitive control systems (OCCS) architecture in edge devices. This work sets a stepping stone towards making industrial devices smarter. © 2024 IEEE.

关键词： artificial intelligence cognition containerization edge device process industry real-time systems

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A Prototype for Navigation in Signed Directed Graphs of Chemical processes 28

A Prototype for Navigation in Signed Directed Graphs of Chem...

引用

28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Hamedi, Nazanin Richter, Julia Schrank, Bernhard Lischinski, Eric Chen, Jiaxin Sun, Xiaoyu Klose, Anselm Urbas, Leon TU Dresden DFG RTG Conducive Design of Cyber Physical Systems Dresden Germany TU Dresden Process Control Systems Dresden Germany TU Dresden Process Control Systems Process-to-Order Lab Dresden Germany TU Dresden Process Control Systems & Process Systems Engineering Dresden Germany

ISBN: (纸本)9798350339918

Signed Directed Graphs (SDGs) are among the very beneficial, and well-known tools for fault diagnosis in chemical process plants. Based on the size of the process plant, their corresponding SDGs can be very large in size;and therefore, significantly difficult to navigate. Besides that, the recent advancement in semantic description of process structures and intelligent process and Instrumentation Diagrams (P&IDs), has led to the development of several computer tools for navigating in a process plant structure and examining the connectivity of different process equipment to each other. In this study a prototype for an intelligent P&ID, in which the SDG is considered to help the user understand the influence of process parameters on each other is developed. Requirements were derived and implemented as a click prototype, using Axure RP. The evaluation results indicate that despite the high understandability of the prototype, the cognitive efforts for linking the information derived from the SDG with the plant's P&ID scheme are still too high for achieving a good overall usability. © 2023 IEEE.

关键词： Directed graphs

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Towards Usability of process Models for Co-Simulation-Based Operability Analysis of Modular Electrolysis Plants 29

Towards Usability of Process Models for Co-Simulation-Based ...

引用

29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Mock, Michael Viedt, Isabell Urbas, Leon Tud Dresden University of Technology Process Control Systems Dresden Germany Tud Dresden University of Technology Process to Order Lab Dresden Germany

ISBN: (纸本)9798350361230

The increasing need for simulation-based analysis along the life-cycle of modern process plants introduces new requirements and limitations in the development of simulation models. In the context of modular plants, according to VDI 2776, the distributed knowledge arises as a challenge in enabling system simulations. Co-simulation can enable a provider-independent simulation of chemical processes, but the co-simulation interfaces need further standardization to be efficiently integrated in the modular plant life-cycle. This paper works toward the usability of process models for co-simulation to support standardization efforts and make simulation models more usable and re-usable. To increase the usability of co-simulation in the process industry by working towards a common standard, two co-simulation standards, namely the Functional Mock-Up Interface and the CAPE-OPEN standard, are semantically linked. A use-case for a co-simulation-based operability analysis of a heterogeneous electrolysis plant is presented and necessary model requirements and interfaces are defined. Criteria to assess the compatibility of the model interfaces as a first step of a usability analysis are collected and presented. With the available requirements and interface specifications Functional Mock-Up Units can be created and the shown use-case can be carried out. Challenges regarding the potential integration of varying thermophysical properties have been pointed out and methods to overcome these challenges in the context of usability have been outlined. © 2024 IEEE.

关键词： Mockups

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process control Principles for Scalable Electrolysis systems 28

Process Control Principles for Scalable Electrolysis Systems

引用

28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Lorenz, Julius Klose, Anselm Lange, Hannes Kock, Tobias Urbas, Leon TUD Dresden University of Technology Process Control Systems Dresden Germany TUD Dresden University of Technology Process to Order Lab Dresden Germany TUD Dresden University of Technology Process Systems Engineering Group Dresden Germany

ISBN: (纸本)9798350339918

The scale up of hydrogen production to large scale production systems demands a structured approach to control these systems. With suitable control principles, optimization for operation can be achieved whilst maintaining flexibility. In this paper, existing control strategies are analyzed and compared for large scale electrolysis systems. It is argued, how modularization can enable the optimal distribution of set-points and enables the systems for capacity extension. An initial implementation in MATlab is presented, showing the feasibility of the proposed power distribution concept. © 2023 IEEE.

关键词： process control

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Flexible process control for Scalable Electrolysis systems

Flexible Process Control for Scalable Electrolysis Systems

引用

2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Lorenz, Julius Klose, Anselm Lange, Hannes Kock, Tobias Urbas, Leon Process Control Systems Tud Dresden University of Technology Dresden Germany Process to Order Lab Tud Dresden University of Technology Dresden Germany Process Systems Engineering Group Tud Dresden University of Technology Dresden Germany

ISBN: (纸本)9798350327816

Large-scale water electrolysis systems are built from a multitude of stack units. These stack units have to be controlled during operation. The question arises how process control of the system can be designed in that way, that scalable, extendable but also optimal operation of the stack units becomes possible. To achieve this goal, existing process control strategies from literature are analyzed. The requirements resulting from the inherent numbering up of stack units are described and an approach for an adaptable optimized process control strategy considering the system properties is proposed. The proposed process control strategy is implemented in a modeled electrolysis system and evaluated regarding the stated criteria. The results could show, that the inherent modularization of electrolysis systems can be used in advantage for a scalable operation. © 2023 IEEE.

关键词： Modular Automation process control Water Electrolysis

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Transformation of process functions to the Module Type Package utilizing System control Diagrams 28

Transformation of process functions to the Module Type Packa...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Kock, Tobias Klose, Anselm Ingebringsten, Idar Pe Bittorf, Lukas Lorenz, Julius Urbas, Leon TU Dresden Process-to-Order-Lab Dresden Dresden Germany Oslo Norway Semodia GmbH Radebeul Germany TU Dresden Process Control Systems Dresden Germany

ISBN: (纸本)9798350339918

Modular process plants require a new interaction of process engineering and automation engineering. During the engineering of process Equipment Assemblies (PEA) the automation functions are encapsulated in services which represent process operations. In this work an approach is presented, where System control Diagrams (SCD) are utilized to create a transition from process operations to automation functions to services all on the basis of the Piping and Instrumentation Diagram (P&ID). Using this method, a comprehensible graphical and machine-readable link between both sides is created. In combination with existing tools, it is shown that part of the automation could already be prepared during the design of the P&ID. The proposed concept is evaluated using a water deionization PEA. © 2023 IEEE.

关键词： Automation

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Towards cloud-based control-as-a-Service for modular process Plants 28

Towards cloud-based Control-as-a-Service for modular Process...

引用

28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Vogt, Lucas Klose, Anselm Khaydarov, Valentin Vockeroth, Christian Endres, Christian Urbas, Leon TU Dresden Process-to-Order Lab Dresden Germany Sartorius Stedim Systems GmbH Guxhagen Germany Sartorius Stedim Biotech GmbH Göttingen Germany TU Dresden Process Control Systems Dresden Germany

ISBN: (纸本)9798350339918

BACKGROUND: Computational and data-intensive technologies such as model predictive control and artificial intelligence have the potential to increase process yields in the process industry. In modular plant designs, the flexible and difficult-to-predict use of a particular module presents the challenge of providing the right amount of data, computing power, and storage capacity to use these technologies in each ***: Simplifying the deployment and reconfiguration of compute-intensive applications for modular ***: Reviewing the current state of the art and combining the modular plant concept with a cloud-based control-as-a-Service (CaaS) ***: A cloud-based, containerized CaaS concept that supports the deployment compute- and data-intensive methods for modular plants. The complementing communication stack consisting of standards such as APL, TSN and OPC UA ***: The proposed architecture simplifies IT/OT integration, eases the deployment of compute-intensive technologies, and allows for GMP compliant pre-qualification of software modules. However, the limiting factors like plant safety, conformity to regulations and widespread architecture adoption are not covered in detail and will be subject of future research. © 2023 IEEE.

关键词： Computing power

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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the process Industry

Bringing Human Cognition to Machines: Introducing Cognitive ...

引用

IEEE International Conference on Industrial Informatics (INDIN)

作者： Zohra Charania Lucas Vogt Anselm Klose Leon Urbas Chair of Process Control Systems TU Dresden Dresden Germany Process-to-Order Lab TU Dresden Dresden Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

关键词： Industries Production systems process control systems architecture Machine learning Cognition Real-time systems Reliability Virtualization Informatics

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Far vs. Near: A Decision Framework for Cloud and Edge Use in the process Industry

Far vs. Near: A Decision Framework for Cloud and Edge Use in...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Lucas Vogt Zohra Charania Leon Urbas Process-to-Order Lab TU Dresden Dresden Germany Chair of Process Control Systems TU Dresden Dresden Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

关键词： Measurement Industries Spaceborne radar Decision making process control Production Companies Aerospace electronics Informatics

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