Application of Multi-Model Databases in Digital Twins Using the Example of a Quality Assurance Process

Koch, Julian; Lotzing, Gerald; Gomse, Martin; Schüppstuhl, Thorsten

doi:10.1007/978-3-030-90700-6_41

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…Assets of the system are developed based on a preexisting Entity-Relationship model developed for the system, which followed the methodology described in [27] to cope with extensive, heterogeneous, unstructured data. Regarding the selected exemplary objective of digitized inspection tools, the exemplary asset "intermediate measurement data" is considered (see Fig.…”

Section: Prioritization Via Assetsmentioning

confidence: 99%

Development Process for Information Security Concepts in IIoT-Based Manufacturing

Koch

Eggers

Schüppstuhl

2022

Lecture Notes in Mechanical Engineering

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Digital technologies are increasingly utilized by manufacturers to make processes more transparent, efficient and networked. Novel utilization elicits the challenge of preventing deployed information technology from compromising processual security. The digital enabling of formerly analog operation technology, the extensive use of information technology connectivity like MQTT, TCP/IP, Wi-Fi, and the deployment of IoT edge computing platforms create an application scenario for the Industrial Internet of Things (IIoT), which also introduces the associated vulnerabilities, which have been extensively exploited in the past. This paper introduces a development process for information security concepts designed for production scenarios based on the IIoT. This concept is then applied using an illustrative use case from aircraft production. The main contents of the development process include: Formulation of reasonable assumptions, system modelling, threat analysis including risk assessment, recommendation of countermeasures, reassessment after incorporating countermeasures. Specifically, a Data Flow Diagram as the model is developed, and a “risk first” variation of the STRIDE methodology is applied to identify threats and prioritize them. The aforementioned state-of-the-art methodologies are adjusted to our cyber-physical use case in the IIoT. The resulting concept aims to enable manufacturing processes to be digitized as sought. The adjustments to the methodologies are independent from our use case and may be suitable to a broad field of scenarios in the IIoT.

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Section: Prioritization Via Assetsmentioning

confidence: 99%

Development Process for Information Security Concepts in IIoT-Based Manufacturing

Koch

Eggers

Schüppstuhl

2022

Lecture Notes in Mechanical Engineering

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“…With all the presented factors of the process of retrofitting aircraft, the need for a thorough representation of individual specific airframes and also the challenge of creating and maintaining these representations become obvious. For simply storing CAD, PDF, and other files, there are already many implementations ranging from PLM systems to new approaches such as using multi-model databases (MMDs) [9,10]. Because of the given structures, the handling of data, especially the metadata such as relations, interconnections, and interdependencies between entities, becomes a key factor.…”

Section: Current Data Handling Practices-plm and Model Data Managementmentioning

confidence: 99%

Supporting Digital Twins for the Retrofit in Aviation by a Model-Driven Data Handling

Laukotka

Krause

2023

Systems

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Aviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabins. During the planning and execution of this cabin retrofit, handling the needed and available data poses a challenge to the engineers. While much of the required data is available in some form, generally there is a lack of a digitally usable dataset of the specific aircraft—a virtual representation of the physical asset is missing. To support the implementation of such a digital twin and, thus, the overall process of retrofitting aircraft, an approach to model-driven data handling tailored to the unique circumstances and requirements of aviation is introduced. The methodology consists of a combination of systems engineering and data science techniques framed by an overarching procedure that iteratively creates and enhances a digitally accessible dataset of the relevant data, hence supporting the retrofit engineers by easing access to needed information. Besides the presentation of the research background and the methodology, a simplified example is shown, demonstrating the approach using abstracted but realistic information provided by partners from the industry.

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“…A few researchers have proposed a flat data approach for digital twins (El-Diraby 2021, Koch et al 2021). In this case the data is represented in a mere tabular structure consisting of a large number of data records.…”

Section: Flat Data Approaches For Digital Twinsmentioning

confidence: 99%

AEC Digital Twin Data - Why Structure Matters

Borrmann,

Schlenger,

Bus

et al. 2023

Lecture Notes in Civil Engineering

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With the increasing adoption of the Digital Twin concept in the construction industry in the operations and maintenance phase, researchers and practitioners are increasingly seeking suitable technological solutions for the design and construction phases. While it is widely accepted that the required platforms hosting the digital twin must be cloud-based to fulfill the requirements of ubiquitous accessibility and centralized consistency, questions regarding the need for data schema remain. Some academics argue that a structure-free organization of data is suitable for realizing digital twins and the data streams from and to the respective platform. Hands-on experience in the BIM2TWIN project supports a counter argument, i.e., that structure-free data is insufficient for most use cases around AEC Digital Twins. The sheer information complexity of construction projects requires well-defined data structures enabling unambiguous and errorless interpretation. This becomes apparent when reflecting on the well-established concept of the data-information-knowledge pyramid describing that raw data must be processed into understandable and meaningful high-level information for human decision makers, subsequently providing the basis for crossproject domain knowledge. Based on this observation, we highlight that objectoriented modeling is a widely recognized information modeling technique that facilitates the structuring of complex domain information. We compare it with ontology-based model concepts that provide a similar, yet more abstract means for information modeling.

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Application of Multi-Model Databases in Digital Twins Using the Example of a Quality Assurance Process

Cited by 6 publications

References 13 publications

Development Process for Information Security Concepts in IIoT-Based Manufacturing

Development Process for Information Security Concepts in IIoT-Based Manufacturing

Supporting Digital Twins for the Retrofit in Aviation by a Model-Driven Data Handling

AEC Digital Twin Data - Why Structure Matters

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