FTIR gas measurement in home smoke alarm tests
Bibliographic record
Abstract
The National Research Council of Canada performed Fourier Transform Infrared (FTIR) gas measurements during fire detection experiments (Tests 1-14) in a manufactured home, as part of a joint study with several U.S. organisations and federal agencies to evaluate current requirements and technology of residential smoke detectors. The objectives were to identify toxic species (such as HCl, HCN, NOx, HBr and HF) produced from test fires and to quantify their concentrations for use in determination of the onset of untenable conditions. Fire scenarios included flaming and smouldering fires of a mattress in a bedroom, upholstered chair in the living area and cooking oil fires. The size, growth rate and duration of the test fires were closely controlled to create small, slow smouldering fires (1 to 2 hours) and short flaming fires (3 minutes or less). While these test fires provided the greatest challenge for smoke detectors to detect the fires early before becoming fully developed ones, the experiments were terminated well before reaching conditions that would produce a significant amount of toxic species. FTIR spectra collected during all these tests show spectral features from CO, CO2 and water vapour. FTIR spectra collected during the chair and mattress smouldering and cooking oil fires also show absorption characteristic of volatile hydrocarbon compounds. There was no apparent absorption from chemical species such as HCl, NOx, HBr and HF in the FTIR spectra. These chemical species were below the minimum detection limit of the FTIR spectrometer in this full-scale experimental set-up. HCN was only detected in Test 14 with an under-ventilated condition and its maximum concentration was 60 ppm. Carbon monoxide and carbon dioxide were primary gas products produced in these fire detection tests.
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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 | 0.003 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".