Ventilation control system implementation and energy consumption reduction at Totten Mine with Level 4 Tagging and future plans
Bibliographic record
Abstract
Totten Mine has been operating a ventilation control system (VCS) with remote activation capabilities under a manual mode since 2014. The system consists of on/off and variable frequency drive fans, variable opening louvers and doors to regulate the airflow across levels, ramps and headings. Parameters that are monitored within the VCS include air volume, relative humidity, dry bulb temperature and carbon monoxide. All of the VCS components installed and commissioned in 2014 were operational during the mine production ramp-up from 2015 to 2016. The managed ventilation system demonstrated its ability to accommodate the airflow requirements of the mine in an effective and efficient manner during this time. However, changes to the mining plan generated an increase in required air volumes. It was determined these could be accomplished by further enhancements of the ventilation control system. As a result, during 2016 the automation and ventilation departments reviewed the alternatives available in the market and selected the NRG1-ECO software provided by Bestech to achieve a tag and tracking-based level of automated ventilation control. The implementation of the software started at the end of 2016 with a single level and was then expanded to additional levels. This paper presents the state of the current VCS at Totten Mine in terms of the levels that have been commissioned, the control strategies in use and the energy reduction achieved in the range of 50 to 60%. These are compared to the baseline established before the implementation. Challenges encountered during commissioning, maintenance and the plan for future implementation and software versions are also discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".