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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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A Mapping Approach from System control Diagrams to the Module Type Package 29

A Mapping Approach from System Control Diagrams to the Modul...

引用

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

作者： Kock, Tobias Lorenz, Julius Klose, Anselm Ingebringsten, Idar Pe Schüller, Andreas Urbas, Leon Process Control Systems Tud Dresden University of Technology Dresden Germany Tud Dresden University of Technology Process to Order Lab Dresden Germany Equinor Asa Oslo Norway Yncoris GmbH& Co. Kg Hürth Germany

ISBN: (纸本)9798350361230

Modular process plants, built from process Equipment Assembly (PEA), promise a higher flexibility compared to monolithic plants. Digital documentation is a key requirement for a seamless orchestration of a modular plant using PEAs from different vendors. From a process engineering functional view the Module Type Package (MTP) documents the capabilities realized by a PEA. From a automation perspective the documentation and specification can be optimized by utilizing a standard called System control Diagrams (SCDs). There is up to now no connection of the individual standards. This connection could enable an integrated engineering approach to raise consistency and reduce engineering effort. This work presents an approach to map SCD based automation planning to the MTP. Therefore, both standards are introduced and a mapping from SCD to MTP is realized. It is shown, that most of the functions from SCD have a representation in the MTP, enabling the linking of basic automation functions to capabilities. This enables engineers which are using SCD as a planning tool to efficiently provide an MTP for PEAs or modular plants. © 2024 IEEE.

关键词： Integrated Engineering Modular Automation MTP process control SCD

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

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

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International Conference on Emerging Technologies and Factory Automation (ETFA)

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

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

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.

关键词： Industries Analytical models Electric potential process control systems simulation Chemical processes Electrochemical processes Usability Standards Manufacturing automation

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Standards for Information Models Considering Knowledge Distribution in Modular Plants

Standards for Information Models Considering Knowledge Distr...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Amy Koch Nazanin Hamedi Lukas Furtner Tobias Kock Anselm Klose Jonathan Mädler Process Systems Engineering Group TU Dresden Dresden Germany Research Training Group 2323 TU Dresden Dresden Germany Chair of Process Control Systems Process-to-Order Lab TU Dresden Dresden Germany

For various applications, information models described in standards are available to enable a digital data exchange. For modular process plants, where different domains are interacting in different phases of the plant lifecycle, single, existing standards are not *** this work, we analyze the most relevant standards for process engineering, namely OntoCAPE, DEXPI, and IEC 61512, in regards to their application to support the lifecycle of modular process plants, which are described in the VDI 2776 and VDI/VDE/NAMUR 2658 standards. By challenging the standards with competency questions derived from a specific use case, we discuss which information models are most suitable for all individual domains in each lifecycle phase. The result is the specification of parts of these standards which are needed to create a fully digital support for modular process plants on the example of the introduced use case.

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process control Principles for Scalable Electrolysis systems

Process Control Principles for Scalable Electrolysis Systems

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Julius Lorenz Anselm Klose Hannes Lange Tobias Kock Leon Urbas Chair of 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

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.

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Flexible process control for Scalable Electrolysis systems

Flexible Process Control for Scalable Electrolysis Systems

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Electrical, Computer and Energy Technologies (ICECET), International Conference on

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.

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

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

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International Conference on Emerging Technologies and Factory Automation (ETFA)

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

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.

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

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

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Tobias Kock Anselm Klose Idar Pe Ingebringsten Lukas Bittorf Julius Lorenz Leon Urbas Process-to-Order-Lab Dresden TU Dresden Dresden Germany Equinor ASA (former Statoil ASA) Oslo Norway Semodia GmbH Radebeul Germany Chair of Process Control Systems TU Dresden Dresden Germany

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.

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From stirring to mixing: artificial intelligence in the process industry

From stirring to mixing: artificial intelligence in the proc...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Valentin Khaydarov Sebastian Heinze Markus Graube Andreas Knüpfer Maximilian Knespel Silke Merkelbach Leon Urbas Process-To-Order Lab Technische Universität Dresden Dresden Germany Chair Process Control Systems/Process System Engineering Technische Universität Dresden Dresden Germany Center for Information Services and HPC (ZIH) Technische Universität Dresden Dresden Germany

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

The introduction of AI methods in production or production-related environments meets with resistance from operators due to their lack of relevant experience and their responsibility for plant safety. To overcome these inhibitions one requires prototypical implementations, which offer considerable benefits, meet the highest requirements for reliability, are accepted by the operating personnel, and get support from those in charge. As a result, AI technologies must be embedded into the complex IT/OT infrastructure of the companies. Traceability, maintainability and longevity must also be guaranteed. As a first step towards this, we present a concept of the demonstrator and its first results, which should make AI comprehensible by visualizing challenges and exploring possibilities in the process industry.

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