Blockchain and deep learning technologies for construction equipment security information management

Pan, Xing; Zhong, Botao; Da, Sheng; Yuan, Xinqi; Wang, Yuhang

doi:10.1016/j.autcon.2022.104186

Cited by 36 publications

(3 citation statements)

References 48 publications

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“…Li et al [94] developed a Two-layer Adaptive Blockchain-based Supervision (TABS) model that enhances privacy and reduces storage costs at an acceptable latency level. Pan et al [95] utilized deep learning technologies combined with blockchain to manage the security information of construction equipment.…”

Section: Data Storage and Managementmentioning

confidence: 99%

Unlocking Blockchain in Construction: A Systematic Review of Applications and Barriers

Celik,

Abraham,

Attaran

2024

Buildings

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The emergence of construction 5.0 marks a shift toward a human-centric approach to digitization within the construction industry. Along with diverse digital innovations related to this shift, blockchain technology offers vast opportunities for the construction industry, including streamlining project management processes, enhancing transparency in payment processes, and improving contract administration. This paper systematically reviews 109 articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to examine the applications of blockchain in construction, identifying twenty-three topics across eight thematic areas. These areas were further mapped using VOSviewer Online version 1.2.3 to identify interrelationships among the themes and highlight their broad impact. Key features like immutability, security, transparency, and traceability show promise in contract administration, supply chain logistics, facilities management, and sustainability. However, the study also describes the challenges of adopting blockchain in construction, emphasizing the need for enhanced stakeholder education, improved regulatory frameworks, and the creation of industry-specific blockchain platforms to support its acceptance in the construction industry. Emphasizing emerging blockchain applications and the adoption challenges equips researchers and practitioners with the knowledge of these applications and their significance to construction practices.

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Section: Data Storage and Managementmentioning

confidence: 99%

Unlocking Blockchain in Construction: A Systematic Review of Applications and Barriers

Celik,

Abraham,

Attaran

2024

Buildings

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“…In this study, the following three methods are combined to select keyword sets: keyword co-occurrence analysis by using Citespace 5.8.R3, reference to previous review articles on extended reality and construction, and professional experience. In the management system of "three control, three management, and one coordination", "information management" focuses on the research of "information management system", "database", and other related aspects [35][36][37]. The literature retrieved mainly belongs to the field of computer science, and the extended reality itself is the database.…”

Section: Identificationmentioning

confidence: 99%

Extended Reality for Safe and Effective Construction Management: State-of-the-Art, Challenges, and Future Directions

et al. 2023

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Safe and effective construction management requires tools for reducing delays, eliminating reworks, and avoiding accidents. Unfortunately, challenges still exist in current construction practices for enabling real-time interactions among project participants, field discoveries, and massive data. Extended reality (i.e., XR) could help to establish immersive and interactive virtual environments that enable real-time information exchange among humans, cyber processes, and physical environments during construction. However, limited studies have synthesized potentials, challenges, and scenarios of XR for ensuring construction safety and efficiency. This study provides a critical review that synthesizes XR in construction management. First, the authors used the PRISMA method to screen studies related to XR in construction management. Seventy-nine studies were selected and comprehensively analyzed. The authors conducted a bibliometric analysis to comprehend the spatiotemporal distributions of the selected studies. Then, the selected studies were classified into three categories: (1) progress control, (2) quality control, and (3) safety management. The authors also synthesized information for XR applications in various construction management scenarios and summarized the challenges related to XR applications. Finally, this review shed light on future research directions of XR for safe and effective construction management.

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“…By leveraging cryptographic techniques and a decentralized structure, blockchain enhances the security of sensitive data in the construction sector. As noted by Pan et al [32], the immutable nature of blockchain ensures that once data are recorded, they cannot be altered or manipulated, thus providing a robust foundation for securing construction workers' personal information. This consequently fosters trust and collaboration among the various stakeholders in the construction industry.…”

Section: Introductionmentioning

confidence: 99%

Securing Construction Workers’ Data Security and Privacy with Blockchain Technology

Saah,

Yee,

Choi

2023

Applied Sciences

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The construction industry, characterized by its intricate network of stakeholders and diverse workforce, grapples with the challenge of managing information effectively. This study delves into this issue, recognizing the universal importance of safeguarding data, particularly amid rising concerns around unauthorized access and breaches. Aiming to harness the potential of blockchain technology to address these challenges, this study used hypothetical biographical and safety data of construction workers securely stored on a Hyperledger Fabric blockchain. Developed within the Amazon Web Services (AWS) cloud platform, this blockchain infrastructure emerged as a robust solution for enhancing data security and privacy. Anchored in the core principles of data security, the model emerges as a potent defender against the vulnerabilities of traditional data management systems. Beyond its immediate implications, this study exemplifies the marriage of blockchain technology and the construction sector, and its potential for reshaping workforce management, especially in high-risk projects and optimizing risk assessment, resource allocation, and safety measures to mitigate work-related injuries. Practical validation through transaction testing using Hyperledger Explorer validates the model’s feasibility and operational effectiveness, thus serving as a blueprint for the industry’s data management. Ultimately, this research not only showcases the promise of blockchain technology in addressing construction data security challenges but also underscores its practical applicability through comprehensive testing, thus heralding a new era of data management that harmonizes security and efficiency for stakeholders’ benefit.

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Blockchain and deep learning technologies for construction equipment security information management

Cited by 36 publications

References 48 publications

Unlocking Blockchain in Construction: A Systematic Review of Applications and Barriers

Unlocking Blockchain in Construction: A Systematic Review of Applications and Barriers

Extended Reality for Safe and Effective Construction Management: State-of-the-Art, Challenges, and Future Directions

Securing Construction Workers’ Data Security and Privacy with Blockchain Technology

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