Collaborative Mobile-Cloud Computing for Civil Infrastructure Condition Inspection

Zhiqiang Chen, Jianfei Chen, Feichen Shen, Yugyung Lee

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Optical imaging techniques have been commonly used in civil engineering practice for aiding the archival of damage scenes and more recently, for image-based damage analysis. However, an evident limitation in the current practice is the lacking of real-time imaging, computing, and analytics capability for team-based visual inspection in a complex built environment. This paper explores a new computing paradigm called collaborative mobile-cloud computing (CMCC) and proposes a CMCC framework for conducting intelligent civil infrastructure condition inspection. Through software design, this framework synthesizes advanced mobile and cloud computing technologies with three innovative features: (1) context-enabled image collection, (2) interactive imaging and processing, and (3) real-time on-demand image analysis and condition analytics. Through field experiments and computational performance evaluation, this paper demonstrates the feasibility of the proposed CMCC framework, which includes verification of real-time imaging, analytics, and particularly, the mobile-cloud computational solution to two representative damage analysis problems regarding complex imagery scenes.

Original languageEnglish (US)
Article number4014066
JournalJournal of Computing in Civil Engineering
Volume29
Issue number5
DOIs
StatePublished - Sep 1 2015

Keywords

  • Computer applications
  • Damage
  • Imaging techniques
  • Information technology
  • Inspection
  • Interactive systems

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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