Masterarbeit, 2022
128 Seiten
1 Introduction
1.1 Background
1.2 Problem Statement
1.3 Scope and Delimitation
1.4 Research Method
1.5 Structure of the Thesis
2 Theoretical Background
2.1 Digital Twin
2.1.1 Origin, Definition, and Characteristics of Digital Twins
2.1.2 Underlying Technologies
2.1.3 Data Storage in Digital Twins
2.1.4 Benefits and Application Areas
2.2 Blockchain
2.2.1 Foundations of the Blockchain Technology
2.2.2 Different Blockchain Configurations
2.3 Blockchain-based Digital Twins
2.3.1 Rationale for Combining Blockchains and Digital Twins
2.3.2 Benefits
2.3.3 State of the Art
3 Methodology
3.1 Systematic Literature Review and Classification
3.2 Elaboration of Requirements for the Digital Twin Data Storage
3.2.1 Review of the Distribution of Data-related Properties
3.2.2 Expert Interviews
3.3 Evaluation of the Suitability of Blockchain-based Digital Twins
3.4 Development of Design Decisions
4 Research Results
4.1 Taxonomy for the Classification of Data-related Properties in Digital Twins
4.1.1 Scope
4.1.2 Data Properties
4.1.3 Data Collection and Communication
4.1.4 Storage and Usage
4.2 Requirements for the Data Storage in Digital Twins
4.2.1 Requirements Derived from Classified Data-related Properties
4.2.2 Requirements Derived from Industry Expert Interviews
5 Discussion
5.1 RQ1: Classification of Data-related Properties in Digital Twins
5.2 RQ2: Requirements for the Data Storage in Digital Twins
5.3 RQ3: Suitability of the Blockchain Technology for Storing Digital Twin Data
5.4 RG: Design Decisions for the Blockchain-based Storage of Digital Twin Data
5.5 Critical Reflexion of the Overall Approach
6 Conclusion
6.1 Summary
6.2 Limitations
6.3 Outlook
This thesis aims to address the research gap regarding appropriate data storage solutions for digital twins by investigating the intersection of blockchain technology and the digital twin concept. The primary goal is to develop design decisions for the blockchain-based storage of digital twin data by first classifying data-related properties and determining specific requirements for storage.
1.1 Background
“The Digital Twin is the key technology of Industry 4.0” (IDTA 2022). This statement reflects the current and future relevance of digital twins only to some extent. In fact, the digital twin can be deployed in almost every industry and is able to represent any object, being, process or organisation. The resulting benefits are versatile and can encompass a higher transparency and efficiency, cost reduction, or the enabling of completely new functions such as the virtual commissioning. Digital twins do even contribute to a sustainable industrial production as they enable a corresponding reduction of the primary energy emissions of up to eight percent (Bitkom and Accenture 2021). Due to this substantial added value, digital twins pertain to the top ten strategic technology trends according to Gartner (2019) and are expected to reach a market size of over 48 billion USD by 2026 (MarketsandMarkets 2020).
The existence of digital twins is strongly dependent on its underlying data, for which reason the data storage is of fundamental importance for the operation of this technology. In the past, the digital twin concept mostly relied upon a traditional storage infrastructure in form of databases or clouds. However, digital twins and its data storage face major challenges, e.g., through a more and more connected world and therefore an increasing number of potential participants and data volume, or as a consequence of growing data security-related risks. Furthermore, potential digital twin use cases entail varying conditions, for which reason alternative storage solutions must be assessed.
The blockchain technology might constitute a possible alternative to realize the storage of digital twin data. Through the novel and nearly unique characteristics such as immutability, decentralisation, or manipulation safety, blockchains could introduce new opportunities to address digital twin use cases. Those characteristics seem relevant at first sight as the application areas of digital twins become more manifold– especially as the digital twin concept evolves from a descriptive to a rather actionable approach and include more critical data (Grieves and Vickers 2017). How the blockchain technology can actually deal with the requirements for the data storage including the abovementioned challenges must therefore be evaluated in order to facilitate their interplay and potentially achieve their full potential. Hereby, at first the data storage in digital twins must be understood comprehensively to assess the suitability of their deployment.
1 Introduction: Introduces the relevance of digital twins, identifies the research gap regarding data storage, and defines the goals of the thesis.
2 Theoretical Background: Provides foundational knowledge on digital twins, blockchain technology, and their state-of-the-art combination.
3 Methodology: Details the mixed-method research approach, including the literature review, taxonomy development, and expert interviews.
4 Research Results: Presents the developed taxonomy of data-related properties and the derived storage requirements for digital twins.
5 Discussion: Critically evaluates the classification, requirements, and the suitability of blockchain technology for digital twin data storage.
6 Conclusion: Summarizes the main findings, limitations, and provides an outlook for future research needs.
Digital Twin, Blockchain, Data Storage, Industry 4.0, Taxonomy, Data-related Properties, Distributed Ledger Technology, Requirements Analysis, System Architecture, Decentralization, Immutability, Data Management, Industrial Applications, Consensus Mechanism, Process Optimization.
The core focus is to investigate and determine how blockchain-based solutions can effectively handle data storage for digital twins in industrial environments.
The central themes include digital twin definitions and characteristics, blockchain technology fundamentals, requirements for data storage, and the intersection of these fields.
The primary research goal is the development of design decisions for the blockchain-based storage of digital twin data.
A mixed-method approach is used, consisting of a systematic literature review to create a taxonomy and semi-structured expert interviews for qualitative content analysis.
The main part covers the classification of data-related properties in digital twins, specific storage requirements defined by literature and industry, and a suitability analysis of blockchain configurations.
Keywords include Digital Twin, Blockchain, Data Storage, Industrial IoT, Taxonomy, and Process Optimization.
The thesis discusses trade-offs, such as block size adjustment, off-chain storage solutions, and alternative ledger structures like DAGs, to mitigate scalability issues.
The author concludes that while blockchain is not a panacea, it is highly suitable for scenarios involving multiple untrusted parties and specific requirements for data traceability and security.
The classification includes 19 dimensions grouped into four meta-dimensions: Scope, Data Properties, Data Collection & Communication, and Storage & Usage.
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