Capturing and representing construction project histories for estimating and defect detection

Burcu Akinci, Semiha Kiziltas, Anu Pradhan

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

Abstract

History of a construction project can have a multitude of uses in supporting decisions throughout the lifecycle of a facility and on new projects. Based on motivating case studies, this paper describes the need for and some issues associated with capturing and representing construction project histories. This research focuses on supporting defect detection and decision-making for estimating an upcoming activity's production rates, and it proposes an integrated approach to develop and represent construction project histories. The proposed approach starts with identifying the data needs of different stake-holders from job sites and leverages available automated data collection technologies with their specific performance characterizations to collect the data required. Once the data is captured from a variety of sensors, then the approach incorporates a data fusion formalism to create an integrated project history model that can be analyzed in a more comprehensive way.

Original languageEnglish (US)
Title of host publicationIntelligent Computing in Engineering and Architecture - 13th EG-ICE Workshop 2006, Revised Selected Papers
PublisherSpringer Verlag
Pages15-22
Number of pages8
ISBN (Print)3540462465, 9783540462460
DOIs
StatePublished - 2006
Event13th EG-ICE Workshop 2006 - Ascona, Switzerland
Duration: Jun 25 2006Jun 30 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4200 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th EG-ICE Workshop 2006
CountrySwitzerland
CityAscona
Period6/25/066/30/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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