A framework to automatically monitor the position of site resources with low-accuracy estimates

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large productivity drawbacks have been historically related to the inefficient flow of site resources. Increments in accrued costs and time and safety incidents result from the flow or movement of resources across the job sites. Even though the importance of this problem, there is not data to characterize the unnecessary movement of site resources. This fact is a consequence of the overwhelming burden that such characterization would give rise to with traditional control techniques based on human observations and paper based records. Currently, though, large contractor organizations have started to take slow but seemingly decided steps towards a more visible control of their site resources with infrastructure-less tracking approaches that result in low-accuracy locations. Efficiently identifying the movement of site resources throughout the job site with low-accuracy location estimates results in a non-trivial problem that cannot be properly solved using deterministic or classic probabilistic approaches. Instead, the author proposes an innovative approach based on the adoption of belief reasoning functions. In this approach, a resource is believed to actually be in a new set coordinates if and only if t he sum of conflicting values as a result of intersecting pairs of confidence circles centered in the last and predecessor coordinated estimates exceeds a pre-defined threshold of uncertainty. The quantitative approach is validated against empirical observations. The results indicate that the proposed method efficiently detects the actual movement of resources on the job site and correctly filters location uncertainties.

Original languageEnglish (US)
Title of host publicationProceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011
Pages789-794
Number of pages6
StatePublished - 2011
Externally publishedYes
Event28th International Symposium on Automation and Robotics in Construction, ISARC 2011 - Seoul, Korea, Republic of
Duration: Jun 29 2011Jul 2 2011

Other

Other28th International Symposium on Automation and Robotics in Construction, ISARC 2011
CountryKorea, Republic of
CitySeoul
Period6/29/117/2/11

Fingerprint

Contractors
Productivity
Costs
Uncertainty

Keywords

  • Automation
  • Labor
  • Materials
  • Monitoring
  • Productivity
  • Real-time
  • Tracking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

Cite this

Grau Torrent, D. (2011). A framework to automatically monitor the position of site resources with low-accuracy estimates. In Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011 (pp. 789-794)

A framework to automatically monitor the position of site resources with low-accuracy estimates. / Grau Torrent, David.

Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011. 2011. p. 789-794.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Grau Torrent, D 2011, A framework to automatically monitor the position of site resources with low-accuracy estimates. in Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011. pp. 789-794, 28th International Symposium on Automation and Robotics in Construction, ISARC 2011, Seoul, Korea, Republic of, 6/29/11.
Grau Torrent D. A framework to automatically monitor the position of site resources with low-accuracy estimates. In Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011. 2011. p. 789-794
Grau Torrent, David. / A framework to automatically monitor the position of site resources with low-accuracy estimates. Proceedings of the 28th International Symposium on Automation and Robotics in Construction, ISARC 2011. 2011. pp. 789-794
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