An application framework for development of a maintenance management system based on building information modeling and radio-frequency identification: case study of a stadium building
Bibliographic record
Abstract
Identifying, tracking, controlling, and managing facilities and the associated problems are critical tasks in facility management. In addition, the facility maintenance information needs to be constantly updated, which leads to an extra workload for staff using paper and two-dimensional drawings. To overcome these challenges, a system based on building information modeling (BIM) and radio-frequency identification (RFID) is developed for managing and maintaining facilities. The proposed system simultaneously connects the BIM model using industry foundation class (IFC) data structures, the facility maintenance database, and the RFID reader and shows the accessible data through the internet on a handheld screen. This approach provides a general framework for maintenance information management of building facilities. The framework invokes the proposed system to be for preventive maintenance and the reports based on it. The system is implemented in the case study of the building maintenance of a soccer stadium to validate the proposed system and demonstrate the system’s effectiveness for maintenance management.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".