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Experimental results show that the proposed four-stage smoke-detection algorithm outperforms conventional smoke-detection algorithms in terms of accuracy of smoke detection, providing a low false-alarm rate and high reliability in open and large spaces.
The sensors are best for combination with other techniques, such as smoke detectors.
This difference could have an impact on detection criteria and hence the alarm time for photoelectic smoke detectors since they alarm based on the scattering properties of the smoke.
Based on the work discussed here, the author suggests that a new test standard be implemented to evaluate ionization-type smoke detectors.
The results of these experiments show that the smoke detectors, especially the ionization detector, are sensitive to cooking fumes and nuisance alarms are easy to happen.
However, the learning of smoke representation in the detectors will be restricted by the appearance gap between real and synthetic smoke samples, which will cause a significant performance drop.
It was proved that the proposed method is able to reliably detect the long-distance wildfire smoke and simultaneously produce very few false alarms in actual applications.
Alarm algorithms utilizing ionization detector smoke measurements proved to be more effective than measurements from photoelectric detectors.
The results show that improved fire-detection capabilities can be achieved over standard smoke detectors by combining smoke measurements with CO measurements in specific algorithms.