Abstract
In 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.
| Original language | English |
|---|---|
| Pages (from-to) | 19-27 |
| Number of pages | 9 |
| Journal | Journal of Computing in Civil Engineering |
| Volume | 17 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2003 |
| Externally published | Yes |
Keywords
- Automation
- Buildings
- Global positioning
- Labor
- Productivity
- Project management
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