Experimental Study on the Interference Characteristics of Cooking Oil Fumes with Smoke Fire Detectors

In order to solve the problem of high false alarm rate of point-type smoke fire detector under the cooking oil fume interference, this study systematically evaluates the cooking aerosol test program of U.S. standard UL217. A prototype measurement system was developed for testing interference under typical Chinese cooking activities, stir-frying, pan-frying and deep-frying. Based on a number of controlled experiments of different cooking tasks, the spatiotemporal distribution of particle concentration in cooking fumes, threshold of a detector's response and false alarm triggering mechanism were quantitatively analyzed. We propose a novel quantitatively simulated interference testing method that is suited to the features of domestic kitchen environment in China. The results give a strong theoretical base and a big data to trust the reliable torture for testing smoke detector performance under real complex cooking simulation.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3760269.3760347
Citations
1
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
1.30
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article

Experimental Study on the Interference Characteristics of Cooking Oil Fumes with Smoke Fire Detectors

Xi Zhang, Li Wang, Xiaoxu Li, Pu Gong
1 citations
Fire Detection and Safety Systems
1.30
article

Experimental Study on the Interference Characteristics of Cooking Oil Fumes with Smoke Fire Detectors

Xi Zhang, Li Wang, Xiaoxu Li, Pu Gong
article en
1 citations

Abstract

In order to solve the problem of high false alarm rate of point-type smoke fire detector under the cooking oil fume interference, this study systematically evaluates the cooking aerosol test program of U.S. standard UL217. A prototype measurement system was developed for testing interference under typical Chinese cooking activities, stir-frying, pan-frying and deep-frying. Based on a number of controlled experiments of different cooking tasks, the spatiotemporal distribution of particle concentration in cooking fumes, threshold of a detector's response and false alarm triggering mechanism were quantitatively analyzed. We propose a novel quantitatively simulated interference testing method that is suited to the features of domestic kitchen environment in China. The results give a strong theoretical base and a big data to trust the reliable torture for testing smoke detector performance under real complex cooking simulation.

Shenyang Fire Research Institute (CN)
Openalex Percentile: Top 17%
Fire Detection and Safety Systems
1.30
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