A computer vision early-warning ice detection system for the Smart Grid
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A state of the art early ice warning system has been developed and implemented for the Manitoba Hydro Ice Storm Management Program. The vision based ice detection system measures ice accumulation using digital images directly from the overhead line conductors. The ice detection system provides early warning ice alarms, ice accumulation rate information and accurate visual information of ice profiles to the appropriate staff using the corporate WAN infrastructure. Additional research has been undertaken in the development of an algorithm to aid in the detection of hoar frost transformation to ice. Hoar frost on the transmission conductors presents little risk, however under certain conditions hoar frost can transform into ice very quickly, creating a serious condition. New digital image recognition methods are under development and are presented in this paper. It is envisioned that these methods can predict the rate of change of the transformation of hoar frost into ice and thus provide an early warning indication.
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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