Method for the development of an Asset Administration Shell in a product-driven modular production – realizing an active digital object memory

Birtel, Max; Motsch, William; Popper, Jens; Ruskowski, Martin

doi:10.1109/icps48405.2020.9274753

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…They concluded that the use of UPC UA in the communication protocol of AAS allowed easy integration of plug-and-produce components into the network without any network-specific preconfiguration. Birtel et al (2020) developed a method for transforming passively communicating product memory into an active digital object memory model (ADOMe) utilizing AAS as the semantic interface for interoperability. They carried out a use case where the product can be remotely discharged within the manufacturing process due to a defective product.…”

Section: Digital Twin Framework In the Manufacturing Industrymentioning

confidence: 99%

“…Parvaresh et al ( 2020) established a digital twin of offshore wind turbines for the pitch angle controller pertaining to a variable wind speed. Meanwhile, Birtel et al (2020) implemented AAS in a use case where the product can be remotely discharged within the manufacturing process due to a defective product. Here, AAS is used to access and communicate all components remotely and individually, so that a component can order a command from other components in terms of the controller.…”

Section: The Interoperable Digital Twin Framework For the Offshore Wi...mentioning

confidence: 99%

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Industry 4.0 Digital Twins in Offshore Wind Farms

Ambarita,

Karlsen,

Scibilia

et al. 2023

Preprint

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Abstract. The use of digital twins in offshore wind farms presents a major opportunity to advance autonomous operations and optimize productivity. By creating virtual replicas of physical assets and systems, digital twins allow for real-time monitoring, predictive maintenance, and efficient decision-making. In the context of Industry 4.0, wind turbines are required not only to be remotely monitored and controlled through real-time data during operation, but also to manage the whole life cycle within the entire value chain. To accomplish this, the implementation of digital twin frameworks in accordance with Industry 4.0 standards is crucial. Motivated by the advanced technologies related to industrial digital twins in the context of Industry 4.0 implemented in the manufacturing sector, this paper presents findings from a study investigating the potential for transferring knowledge of industrial digital twins to offshore wind farm context. To gain a deeper understanding of the digital twin concept in the context of offshore wind applications, we conducted extensive literature studies. Specifically, we examined frameworks used in both the manufacturing industry and offshore wind industry. Our goal is to identify commonalities and differences between these frameworks, and to determine how they could be adapted to the unique requirements of the offshore wind sector. The Asset Administration Shell (AAS), which is a key concept of the Reference Architecture Model for Industry 4.0 (RAMI 4.0), provides a standardized and modular approach to representing and managing assets in industrial systems. By adopting AAS, offshore wind farms could improve the scalability, adaptability, and interoperability of their digital twin systems, and also enable more efficient and effective operation and maintenance of the turbines. Based on our findings, we concluded that implementing the AAS could be a promising option for enhancing the functionality of digital twins in offshore wind farms, and for achieving interoperability in line with the standards of Industry 4.0.

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Section: Digital Twin Framework In the Manufacturing Industrymentioning

confidence: 99%

Section: The Interoperable Digital Twin Framework For the Offshore Wi...mentioning

confidence: 99%

Industry 4.0 Digital Twins in Offshore Wind Farms

Ambarita,

Karlsen,

Scibilia

et al. 2023

Preprint

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“…Information and communication technologies promote practical usage of AASs. State-of-the-art studies on AASs in academia and industry generally focus on specific cases [16]- [18]; methods of AAS implementation differ [19]- [21]. AutomationML, OPC UA, and web ontology languages such as the resource description framework (RDF) have been employed.…”

Section: Background On Aas and Aasxmentioning

confidence: 99%

Toward Data Interoperability of Enterprise and Control Applications via the Industry 4.0 Asset Administration Shell

Song²,

Hong

et al. 2022

IEEE Access

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In a cyber-physical system, enterprise applications, control functions, and physical manufacturing assets are interconnected to seamlessly exchange information. However, the software and hardware often differ in terms of their data interfaces, data formats and semantics. Conventional enterprise applications usually employ file-based interfaces (e.g., Excel); control applications always support Ethernet-based protocols (e.g., OPC UA). Thus, data interoperability is currently lacking. The asset administration shell (AAS) is a new approach for achieving data interoperability across the automation pyramid as the AASX data format represents AAS information and supports data communication via OPC UA. In this study, we first provide insights into the AASX format and give exemplary applications on AASX; we then present an AASXbased solution for bidirectional data exchange between enterprise and control applications. In this solution, the conversion between AASX and Excel spreadsheets is completed to enable interoperable data exchange. Finally, a data exchange scenario for motor control is constructed to validate the effectiveness of the solution.The result shows no data were lost during the two-way conversions.

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Incentive system to smooth out fluctuations in demand

Martin,

Gneiting,

Benfer

et al. 2024

Prod. Eng. Res. Devel.

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The global market is influenced by multiple factors such as market trends, cultural dynamics, and geopolitical uncertainties. In this context service providers often face volatile demand patterns leading to sub-optimal capacity utilization. This approach presents an incentive system to smooth out fluctuations in demand and to enhance service provider efficiency. This system computes optimal service prices based on projected capacity utilization. By including insights from past orders and demand forecasts, the algorithm facilitates proactive price adjustments to adapt to changing market dynamics. To implement this system effectively, seamless integration within the service provider’s digital infrastructure is essential. This involves establishing standardized Asset Administration Shells to enable the exchange of critical information and the execution of process-related services. This ensures interoperability with existing components, fostering a cohesive operational environment. The approach is validated within the infrastructure of a medium-sized service provider and demonstrates its potential for wider industry adoption. By leveraging dynamic pricing mechanisms and digital infrastructure, the proposed incentive system offers a systematic solution to address demand volatility, thereby enhancing operational efficiency and competitiveness in the dynamic market landscape.

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Method for the development of an Asset Administration Shell in a product-driven modular production – realizing an active digital object memory

Cited by 7 publications

References 8 publications

Industry 4.0 Digital Twins in Offshore Wind Farms

Industry 4.0 Digital Twins in Offshore Wind Farms

Toward Data Interoperability of Enterprise and Control Applications via the Industry 4.0 Asset Administration Shell

Incentive system to smooth out fluctuations in demand

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