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contributor authorR. Sacks
contributor authorR. Navon
contributor authorE. Goldschmidt
date accessioned2017-05-08T21:12:59Z
date available2017-05-08T21:12:59Z
date copyrightJanuary 2003
date issued2003
identifier other%28asce%290887-3801%282003%2917%3A1%2819%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43115
description abstractIn current project control practice, deviations from planned performance can only be reported after significant time has elapsed. Manual monitoring on construction sites is costly and error prone. Consequently, an automated model for monitoring labor inputs, based on automated data collection (ADC), offers a solution to the problem. Integration with a computerized building project model (BPM), including the physical geometry of the building, the resources active in its execution, and the planned construction activity schedule, is essential for the operation of such a model. Integration with an existing BPM requires that the BPM be expanded to support interpretation and accumulation of the monitoring results. To this end, appropriate project model classes and relationships have been implemented and tested. Experimental data were collected, using an ADC system, from the job site of a reinforced concrete building. The data were processed, within the BPM, with the aid of a prototypical location interpretation module.
publisherAmerican Society of Civil Engineers
titleBuilding Project Model Support for Automated Labor Monitoring
typeJournal Paper
journal volume17
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)0887-3801(2003)17:1(19)
treeJournal of Computing in Civil Engineering:;2003:;Volume ( 017 ):;issue: 001
contenttypeFulltext


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