IoT-Based Real-Time Carbon Monoxide Mitigation for MSME Indoor Environments
Bibliographic record
Abstract
This study aims to develop an IoT-based real-time carbon monoxide mitigation system for monitoring and controlling CO levels in MSME indoor environments.The methods used in this study include problem analysis, and product design, followed by three stages of experiments in which the CO concentration is systematically increased from 50 ppm to above 200 ppm for system response testing.The subjects of this study were MSMEs that use fossil fuel equipment in their daily operations.The results show that the system effectively detects increased CO levels and responds appropriately.At a CO concentration of 58 PPM, Fan 1 is activated, while at a CO concentration of 105 PPM, Fan 1 and Fan 2 are activated with low-intensity buzzer alarms.When the CO concentration exceeds 200 PPM, the system triggers maximum safety action, activating both fans, a high-intensity buzzer, and a red emergency light.In addition, real-time notifications are sent to mobile devices, ensuring alertness and rapid response.The findings of this study indicate that the use of IoT technology in managing workplace safety can significantly increase the speed and effectiveness of responses to CO gas threats, potentially reducing the risks faced by workers in MSME workplaces.
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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 | 0.000 | 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 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".