Case study of BIM and cloud-enabled real-time RFID indoor localization for construction management applications

Yihai Fang, Yong K. Cho, Sijie Zhang, Esau Perez

Research output: Contribution to journalArticleResearchpeer-review

99 Citations (Scopus)

Abstract

In the field of construction, indoor localization of mobile construction resources remains a universal challenge. Although discussions have focused on the tracking accuracy and affordability of indoor localization technologies, few efforts have focused on practical criteria such as ease of use, latency, and data visualization and remote sharing. To close this gap in knowledge, this study introduces a building information modeling (BIM) and cloud-enabled radio-frequency identification (RFID) localization system. The system consists of three main components: the passive RFID localization system, the BIM visualization system, and the cloud computing system. The proposed system is tested in a full-scale implementation on an actual construction site. The test was designed and conducted to evaluate the localization accuracy, data latency, and real-time data processing and visualization for remote monitoring. A comprehensive analysis is made of various practical issues based on the test results and panel discussion. The findings in this study indicate that the BIM and cloud-enable RFID indoor localization solution has a great potential in practical applications such as site security control, safety management, asset management, and productivity monitoring.

Original languageEnglish
Article number05016003
Number of pages12
JournalJournal of Construction Engineering and Management
Volume142
Issue number7
DOIs
Publication statusPublished - 1 Jul 2016
Externally publishedYes

Keywords

  • Building information modeling
  • Cloud computing
  • Indoor localization
  • Information technologies
  • Radio frequency identification
  • Remote monitoring

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