Implementation of Building Information Modeling on Construction Site: Addressing the Technology Gap
Bibliographic record
Abstract
This paper proposes a novel interactive virtual twin for buildings to address the technology gap in implementing building information modeling (BIM) for the use of field personnel during construction. In fact, due the complexity of BIM and that the field personnel are not enough trained and educated about BIM, it has not been fully implemented onsite. To remedy, a high quality rendered format of BIM is simulated in a semantically rich interactive virtual environment. A wide range of practical tools is provided in that environment to enable the onsite users to interact with BIM, access information, coordinate tasks, and collaborate with no need for onsite BIM expertise. To facilitate this effort, a 30 ft trailer, equipped with state-of-the-art visualization and collaboration tools is employed, which is placed on the jobsite and serves as a platform for realization and implementation of the BIM on the jobsite. The trailer features the virtual reality tools and an omnidirectional treadmill that provides an opportunity for users to immerse in the environment and virtually walk through the building. The trailer has a separate compartment which is equipped with a large touch screen TV and facilitates coordination between stakeholders onsite. The interactive virtual environment, together with the visualization trailer, provide the field personnel with the ability to leverage BIM during construction. This project pursues the overarching goal of facilitating the digital transformation of construction organizations into BIM-driven and technology-enabled operations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".