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A Prototype for Navigation in Signed Directed Graphs of Chemical processes

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

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International Conference on Emerging Technologies and Factory Automation (ETFA)

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

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.

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Modular and active learning to support asynchronous learning in automation engineering

Modular and active learning to support asynchronous learning...

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International Conference on Information Technology Based Higher Education and Training, ITHET

作者： Annett Krause Leon Urbas Technische Universität Dresden Chair for Process Control Systems Engineering Dresden Germany

This paper discusses the application of modular and active learning concepts to courses in automation engineering for both vocational training and higher education. In the implemented concept, a course consists of several modular learning units that address different aspects of a single automation engineering process. To realize the complete cycle of activities every learning unit consists of a defined sequence of chapters, namely objectives, theoretical concepts, task definition, planning, and exemplary solution. The objective describes the contents so that the learner can decide if it matches his own objectives. Afterwards, theoretical concepts relevant to the objectives are presented to impart the basic knowledge. Now the definition of the tasks follows to realize the phase “recognition”. To combine the theory and the task the next part is planning to implement the phase “thinking”. Despite the fact that this phase is extremely important in the context of automation engineering, analysis of other course material and feedback from experienced trainers show that it is often skipped and is available only implicitly. By presenting one part of the solution the learner is led to a first solution. The presentation is done by structured step by step instructions so the learner can either follow every single item or only the main steps depending on his own level of knowledge. Eventually learners may evaluate a checklist to gain feedback which parts they managed and which ones they might want to repeat. After having finished the guided part successfully learners can switch to the exercises. Here they will get a task and need to plan their activities themselves. First evaluation results gained in a workshop with teachers support the hypothesis that the implemented concept is highly supportive.

关键词： Automation Programming Hardware Periodic structures Training process control

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Co-simulation with OPC UA

Co-simulation with OPC UA

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Stephan Hensel Markus Graube Leon Urbas Till Heinzerling Mathias Oppelt Chair for Process Control Systems Engineering Technische Universität Dresden Germany Siemens AG

ISBN: (纸本)9781509028719

engineering projects are driven by cost and time constraints. Furthermore, the increasing complexity of these projects makes it necessary to expose specification, implementation and conceptual errors as early as possible. Therefore, a well-established method is to carry out simulation experiments. This paper presents a concept for coupling already existing (domain-specific) simulation models that allow the integration of individual models in a co-simulation environment. A complete system simulation can take place in this environment. Therefore, the contribution of OPC UA as a generic middleware technology - a candidate for Industrie 4.0 scenarios that is being intensively discussed - is analysed. Through a prototypical implementation based on open62541, we can show a proof of concept by coupling different simulations (SIMIT and FMI instances). It also shows that our concept can be easily extended regarding the integration of new simulators.

关键词： Servers Adaptation models Data models Couplings Standards Registers

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Operation Strategies for Modular Large-Scale Alkaline Electrolysis systems

Operation Strategies for Modular Large-Scale Alkaline Electr...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Hannes Lange Christioph Schirmer Michael Mock Isabell Viedt Anselm Klose Leon Urbas Process Systems Engineering Group TUD Dresden University of Technology Dresden Germany Chair of Process Control Systems TUD Dresden University of Technology Dresden Germany

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

In this paper we compare different operation strategies for alkaline electrolyzis (AEL) systems using numeric simulation. We derived general models for mass and energy balances from literature and composed them into a model for an AEL system. Here we considered a numbered-up plant topology, containing multiple AEL stacks with single electrolyte distribution and gas separation systems. The gas impurities and achievable minimal load distribution were compared for the different operating strategies. The results were discussed and further conclusions for the operation of a homogeneous numbered-up AEL system were derived.

关键词： Impurities Electrolytes Numerical models Topology Electrochemical processes Informatics Load modeling

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Triangular Fuzzy Number Representation of Relations in Fuzzy Cognitive Maps

Triangular Fuzzy Number Representation of Relations in Fuzzy...

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IEEE International Conference on Fuzzy systems

作者： Engin Yesil M. Furkan Dodurka Leon Urbas Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey Chair of Process Control Systems Engineering Technology University of Dresden Germany

In this paper, the conventional Fuzzy Cognitive Maps (FCMs), which has already achieved success in many fields, are extended by using triangular fuzzy numbers (TFNs). The advantage of FCMs is that they are relatively easy to construct and parameterize and are capable of handling the full range of system feedback structure, including density-dependent effects. However, it is a well-known fact that there are some limitations inherent in FCM, such as lack of adequate capability to handle uncertain information and lack of enough ability to aggregate the information from different sources. Triangular fuzzy numbers which are represented by a triplet has the capacity to represent the uncertain relations between the concepts. In this context, the weight matrix representing the causal relations are enhanced to a fuzzy weight matrix that has TFNs as element. As a result of this improvement, the dynamic reasoning algorithm of the conventional FCM is improved for the use of the proposed novel FCM. The proposed FCM is presented via four simulations and the results are discussed. The results of the simulation study shows how easily the uncertain information can be represented and interpreted by the proposed FCM design methodology.

关键词： Uncertainty Vectors Cognition Fuzzy sets Pragmatics Fuzzy cognitive maps Modeling

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Demonstrating Containerization of Model Predictive control for Modular Plants

Demonstrating Containerization of Model Predictive Control f...

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Industrial Cyber-Physical systems (ICPS)

作者： Lucas Vogt Zohra Charania Jonathan Mädler Julius Lorenz Helaleh Badrnoebashar Amy Koch Leon Urbas Process-to-Order Lab TU Dresden Dresden Germany Chair of Process Control Systems TU Dresden Dresden Germany Process Systems Engineering Group TU Dresden Dresden Germany

ISBN: (数字)9798350363012

ISBN: (纸本)9798350363029

Model predictive control has the potential to increase yields in the process industry, but its deployment is limited by high computational cost. In multi-purpose, modular plant concepts, it is particularly difficult to predict the whole variety of products for which a specific module will be used throughout its lifespan. During module manufacturing, this results in the challenge of allocating the correct computing, memory, and communication capacities to a module so that a model-predictive control application with currently unknown hardware requirements can be used later. The difficulty of this task often prevents the desirable deployment of model predictive control in production environments. The aim of this publication is therefore to demonstrate a simplified deployment and reconfiguration of model predictive control applications for modular plants through containerization. After an overview of the current state of the art, we present the underlying automation architecture based on modular plant concepts combined with a cloud-like automation approach enabled by containerization of the control applications. The feasibility of the chosen approach is demonstrated by implementing a proof-of-concept demonstrator. Subsequently, lessons learned from the demonstrator are discussed and future improvement potentials are identified, which will be the subject of future research.

关键词： Industries Automation Memory management Production Software Hardware Manufacturing

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Hard Real-Time Capable OPC UA Server as Hardware Peripheral for Single Chip IoT systems

Hard Real-Time Capable OPC UA Server as Hardware Peripheral ...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Chris Paul Iatrou Heiner Bauer Markus Graube Sebastian Höppner Julian Rahm Leon Urbas Chair of Process Control & Systems Engineering Technische Universität Dresden Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics Technische Universität Dresden

The fast semantics project examines the use of the OPC Unified Architecture (OPC UA) in embedded industrial systems and proposes the design of a customizable, hard real time capable OPC UA Intellectual Property Core (IP Core) for single chip computing plattforms. This allows using OPC UA in both novel energy efficient sensor applications and in state of the art field devices. These single chip OPC UA servers form the semantic data sources for future applications such as cloud based added value services or machine learning applications. This article presents the design alternatives and first synthesis results for the implementation of OPC UA servers in embedded systems.

关键词： Random access memory IP networks Protocols Semantics Servers process control Real-time systems

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App-based system diagnosis using mobile information systems

App-based system diagnosis using mobile information systems

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Jens Ziegler Leon Urbas Henning Lenz Hermann Richter Chair of Process Control Systems Engineering Technische Universität Dresden Industry Sector Siemens AG Karlsruhe

This paper presents a study of the potential of integrated services for app-based system diagnosis using mobile information systems. First, a task and context analysis is provided for the application of integrated system diagnosis in the context of plant asset management (PAM). Second, exemplary scenarios are presented which demonstrate IT services for system analysis based on self-organizing maps, system diagnosis with a graph-based approach and support for therapeutic measures on defective assets. Third, a mobile information system is presented that allows users to list, describe, filter, and select assets, to browse through available diagnoses, and to follow step-by-step instructions for recommended therapeutic measures. The mobile information system provides a graphical representation, description, and selection of assets by using a P&I diagram as well as a chart visualization of process values. The system further provides access to both static and transient data sources such as engineering data of the plant, process data of the technical process and the results of complex analysis services. This mobile information system demonstrates the suitability of the proposed app-based approach. Finally, the results of a focus group workshop are summarized, showing the potential of mobile information systems in an industrial setting, barriers that still remain.

关键词： Mobile communication Information systems Medical treatment Monitoring Maintenance engineering Industries Context

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Towards Collaborative Plant control using a Distributed Information and Interaction Space

Towards Collaborative Plant Control using a Distributed Info...

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IEEE Conference on Emerging Technologies and Factory Automation

作者： Johannes Pfeffer Markus Graube Patrick Reipschlaeger Stephan Arndt Leon Urbas Raimund Dachselt Ralph Stelzer Chair of Process Control Systems Engineering Technische Universitat Dresden Interactive Media Lab Dresden Technische Universitat Dresden Chair of Engineering Design and CAD Technische Universitat Dresden

ISBN: (纸本)9781467379304

As Smart Manufacturing, Industrial Internet, Industrie 4.0, and Cyber-Physical Production System (CPPS) are becoming reality, the way process and manufacturing plants are operated has to change. Additionally, these developments - constituting the pervasive digitalisation of industry - have a profound effect on the way human workers and machines interact. This paper contrasts the current state of the art in plant control with a vision for the future. The scenario is illustrated by a realistic problem-solving process in a chemical plant. It describes an integrated industrial information and interaction space that leverages emerging technologies to enable plant operators to remain in control of future flexible modularised process plants. Our approach shows the advantages of an integrated information space which feeds interaction and collaboration using Virtual Reality (VR), novel display technologies and mobile devices.

关键词： Plant control interaction space information space Manufacturing plants chemical plant Leverage DISPLAYING Mobile devices state of the art current status machine Arts Sight

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Analysis of fuzzy cognitive maps from ambiguity and fuzziness perspective

Analysis of fuzzy cognitive maps from ambiguity and fuzzines...

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International Symposium on Computational Intelligence and Informatics

作者： M. Furkan Dodurka Engin Yesil Leon Urbas Getron Corporation New Jersey NJ USA Chair for Process Control Systems Engineering Technische Universität Dresden Germany

ISBN: (纸本)9781509039104

In this study, Fuzzy Cognitive Maps (FCMs), which are powerful tools for graphical representation of knowledge, are analyzed from an ambiguity and fuzziness perspective. In conventional FCMs the causal strengths are represented with singleton (crisp) fuzzy numbers, but recently, other researchers proposed different FCM structures where uniform (interval) or triangular fuzzy numbers are used in causal strength representation. Here, FCMs are analyzed by means of fuzziness and ambiguity measures that are proposed in literature to investigate the capability of models to represent uncertainties. In addition, two new measures, called the average ambiguity measure (AAM) and the average fuzziness measure (AFM), are proposed to indicate uncertainty representation of an FCM. A well-known FCM model of a public health system is used as a case study to show how the fuzzy weights determine the uncertainty representation of FCMs, and then the outcomes are discussed.

关键词： Uncertainty Measurement uncertainty Fuzzy cognitive maps Fuzzy sets Fuzzy systems Inference mechanisms

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