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Digital skin of the construction site

Smart sensor technologies towards the future smart construction site

Autor(en):
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Engineering, Construction and Architectural Management, , n. 2, v. 26
Seite(n): 184-223
DOI: 10.1108/ecam-04-2017-0066
Abstrakt:

Purpose

The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of the future smart construction site.

Design/methodology/approach

The paper provides a systematic and hierarchical classification of 114 articles from both industry and academia on the digital skin concept and evaluates them. The hierarchical classification is based on application areas relevant to construction, such as augmented reality, building information model-based visualisation, labour tracking, supply chain tracking, safety management, mobile equipment tracking and schedule and progress monitoring. Evaluations of the research papers were conducted based on three pillars: validation of technological feasibility, onsite application and user acceptance testing.

Findings

Technologies learned about in the literature review enabled the envisaging of the pervasive construction site of the future. The paper presents scenarios for the future context-aware construction site, including the construction worker, construction procurement management and future real-time safety management systems.

Originality/value

Based on the gaps identified by the review in the body of knowledge and on a broader analysis of technology diffusion, the paper highlights the research challenges to be overcome in the advent of digital skin. The paper recommends that researchers follow a coherent process for smart technology design, development and implementation in order to achieve this vision for the construction industry.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1108/ecam-04-2017-0066.
  • Über diese
    Datenseite
  • Reference-ID
    10576708
  • Veröffentlicht am:
    26.02.2021
  • Geändert am:
    26.02.2021
 
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