Blockchain technology to secure data for digital twins throughout smart buildings’ life cycle in the context of the circular economy

Blockchain technology (BCT) can be leveraged for digital twins (DT) to enhance data security, collaboration, efficiency, and sustainability in the construction industry (CI) 4.0. This study aims to develop a novel technological framework and software architecture using BCT for DT throughout the lifecycle of smart building projects in the context of the circular economy (CE). The study identifies key challenges and technological factors affecting BCT adoption. It also identifies which project data types can benefit from BCT and the key factors and non-functional requirements (NFRs) necessary for the adoption of blockchain based digital twins (BCDT) in CI 4.0. The study finally proposes a software architecture and smart contract framework for BCDT decentralized applications (DApps) throughout the lifecycle of smart infrastructure projects. The study offers a technological framework – the decentralized digital twin cycle (DDTC) – with BCT to enhance trust, security, decentralization, efficiency, traceability, and transparency of information. The study found that the key data from the project lifecycle relevant for BCDTs relate to the BIM dimensions (3D, 4D, 5D, 6D, 7D, and 8D) and a novel contractual dimension (cD) is also proposed. Additionally, BCDT maturity Level 4 is proposed, leveraging BCT to enhance collaboration, process automation, and data sharing within a decentralized data value chain. The main NFRs for BCDTs are security, privacy, interoperability, data ownership, data integrity, and the decentralization and scalability of data storage. A five layered software architecture and a smart contracts framework using Non-Fungible Tokens (NFTs) are offered to address key industry use cases and their functional and non-functional requirements. The framework narrows the gaps identified around network governance, scalability, decentralization, interoperability, energy efficiency, computational requirements, and the integration of BCT with IoT, BIM, and DT. A cost analysis permitted developing criteria to evaluate the suitability of blockchain networks for BCDT applications in CI 4.0 based on key blockchain properties (security, decentralization, scalability, and interoperability). The study provides an industry-specific analysis and technological approach for BCDT adoption to address key challenges and improve sustainability for the CI 4.0. The findings provide key building blocks for industry practitioners to adopt and develop BCDT DApps further. The framework enables a paradigm shift towards decentralized ecosystems of united BCDTs where trust, collaboration, data sharing, information security, efficiency, and sustainability are improved throughout the lifecycle of smart infrastructure projects within a decentralized CE (DCE)

New Waves of IoT Technologies Research – Transcending Intelligence and Senses at the Edge to Create Multi Experience Environments

The next wave of Internet of Things (IoT) and Industrial Internet of Things (IIoT) brings new technological developments that incorporate radical advances in Artificial Intelligence (AI), edge computing processing, new sensing capabilities, more security protection and autonomous functions accelerating progress towards the ability for IoT systems to self-develop, self-maintain and self-optimise. The emergence of hyper autonomous IoT applications with enhanced sensing, distributed intelligence, edge processing and connectivity, combined with human augmentation, has the potential to power the transformation and optimisation of industrial sectors and to change the innovation landscape. This chapter is reviewing the most recent advances in the next wave of the IoT by looking not only at the technology enabling the IoT but also at the platforms and smart data aspects that will bring intelligence, sustainability, dependability, autonomy, and will support human-centric solutions.acceptedVersio

Blockchain-Based Digitalization of Logistics Processes—Innovation, Applications, Best Practices

Blockchain technology is becoming one of the most powerful future technologies in supporting logistics processes and applications. It has the potential to destroy and reorganize traditional logistics structures. Both researchers and practitioners all over the world continuously report on novel blockchain-based projects, possibilities, and innovative solutions with better logistic service levels and lower costs. The idea of this Special Issue is to provide an overview of the status quo in research and possibilities to effectively implement blockchain-based solutions in business practice. This Special Issue reprint contained well-prepared research reports regarding recent advances in blockchain technology around logistics processes to provide insights into realized maturity

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

Designing Data Spaces

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

Cross-Supply Chain Collaboration Platform for Pallet Management

Standardized pallets are an important factor in today's logistics sector to enable efficient processes in transport, storage and handling. By using an open exchange pool for pallets, additional opportunities arise for horizontal and vertical collaboration of various actors from different supply chains. The dissertation "Cross-Supply Chain Collaboration Platform for Pallet Management" investigates the potential of a digital platform for such cross-actor collaboration in pallet management. The designed platform has special mechanisms for balancing pallet debts that arise in the network and for joint planning of empty pallet flows. Therefore, the impact of the designed platforms on logistic processes, especially transports, is explored using simulation modeling. Furthermore, blockchain technology is investigated, which could be used for the implementation of the platform concept and could generate trust in a network of unknown actors. In this context, an empirical online-experiment is used to analyze in a differentiated way which specific features of the blockchain technology generate trust in technology and how these features interact with each other

A Model For Improving Ethics In Construction Materials And Products Supply Chain Using Blockchain

There are countless materials and products that make up a building, including cladding, glazing, roofing, floors, ceilings, systems, etc., and the hidden and fragmented structure of the supply chain makes it highly vulnerable to several forms of ethical breaches at different tiers. Consumers also are increasingly concerned about where the products they are buying come from, highlighting important areas of concern that include the ethical, environmental, and social issues. Whereas current research identifies digitalization as a key part of providing transparency and increasing fairness in supply chains, and blockchain technology is lauded as having the potential to deliver this. However, while there has been a growing emphasis on ethics in construction in recent years, and an increase in studies around blockchain, there remains a paucity of studies related to how blockchain may help to improve the environmental and social dimensions of ethics in construction supply chains. A gap that this study fills through a holistic triple bottom line (TBL) approach. To achieve this, the study aims to develop and validate a model for improving ethics in construction materials and products supply chains (CMPSC) following the TBL construct using blockchain technology. The study also explores the current state of ethics in the CMPSC and the implementations of blockchain for ethics and applies the learnings to develop a conceptual model to improve environmental, social and business ethics in the CMPSC using blockchain. The model was then refined and validated via a dual-phase validation protocol consisting of expert interviews and focus group discussions. A total of 30 participants participated in this study, this comprised of 16 construction industry supply chain professionals, 10 professionals in the ethics/ sustainability in construction and 4 blockchain technology experts. NVivo 12 was utilised to thematically analyse both the interviews and the focus group data. This approach was utilised to investigate the data from both a data-driven perspective (a perspective based on coding in an inductive way); and from the research question perspective (to check if the data is consistent with the research questions and if it provides sufficient information). The 30 interviews resulted in 4 high-level themes, 15 mid-level themes and 28 low-level themes, with the total number of codes within the themes being 721. The analysis of the focus group data resulted in 3 high-level themes and 10 mid-level themes, bringing the total number of codes within all themes to 74. Results from this study revealed that the effectiveness of current ethical measures in the CMPSC has been limited due to weak implementation and compliance, the inability of the government to play its role, and the outright denial of unethical practises within supply chains. Results also show that even though greater emphasis is placed on the business component of ethics while the environmental or social component may only receive as much attention if it can be monetised or if it is demanded; nonetheless, the current state of ethics in the CMPSC remains weak across the three dimensions examined. Further results show that while blockchain may help improve ethics in the CMPSC, in addition to the transparency and digitization that technology provides, the need for education and the upholding of personal ethical values by supply chain players are key to the success of both current and new ethical supply chain initiatives. Individuals must first be made ethically aware in order to act ethically; only then may the implementation of a technological tool prosper. The main contribution of this study to knowledge is the development of a model for improving ethics in the CMPSC within the TBL construct through blockchain technology. The model developed in this study provides practical clarity on how blockchain may be implemented within fragmented supply chains and a significant understanding of a socio-technical approach to addressing the issue of ethics within construction supply chains. It also has a vital role in helping the intended users and actors improve their knowledge of the technology and how blockchain can help to improve ethics in the CMPSC and also understand their roles and responsibilities on the network, thereby providing a framework and prerequisite guidance for the Blockchain-as-a-Service (BaaS) providers in the development of the computer model (blockchain network). The findings of this thesis demonstrate new insights and contribute to the existing body of knowledge by further advancing the discussion on the role of the blockchain in the construction industry

Proceedings of the Conference on Production Systems and Logistics: CPSL 2022

[no abstract available