A preliminary study of tramming speeds in multiple tele-operated load-haul-dump scenarios using QUEST®
Why this work is in the frame
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Bibliographic record
Abstract
Tele-operated Load Haul Dump (LHDs) machines are becoming a common tramming solution throughout many mines at INCO Limited in Copper Cliff, Ontario, Canada. To reach maximum productivity from multiple tele-operated LHDs, the system must achive a proper balance of LHD speed in the haulage network and haulage layout geometry. A study was inititated to determine if multiple LHDs, tramming in second gear under automatic guidance, would influence the total throughput of a production process. A simulation model was used to evaluate the haulage system throughput with the LHDs tramming in second gear while under automatic guidance. The study indicated that allowing LHDs to operate in second gear for the specificed haulage layout configuration, may not provide an increase in the system capacity. The paper concludes that further investigation of key tramming system variables should be carried out to optimize LHD speed with the haulage layout geometry.
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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 | 0.000 |
| 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 it