Criticality visualization using 4D simulation for major capital projects
Why this work is in the frame
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Bibliographic record
Abstract
In construction, major capital projects are in need of a visualization method for scheduling and integrating the spatial dimensions with the time dimension. Traditional scheduling methods are limited to the time dimension, and can be used to visualize the critical path of schedules and to compare the criticality of activities. However, they do not consider the spatial constraints. This paper describes a method for developing 4D simulation to visualize the criticality of project activities considering the requirements of the levels of detail. The 4D visualization interface shows the criticality of activities linked to components with color coding based on the total float of each activity. Important benefits can be achieved in supporting decision-making associated with understanding the spatio-temporal constraints related to multiple contracts. Furthermore, the proposed method is useful for filtering, viewing critical and near critical activities, and comparing schedules. The method is tested in a hydroelectric powerhouse case study.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it