LED array-based multi-angle light scattering for aspirating smoke detection and classification
Abstract Although smoke detectors are actively being studied to reduce false fire alarms, they still face challenging issues such as complex and elaborate alignment, high cost, large size, and poor performance. In particular, most smoke detection systems based on Mie scattering, which rely on single...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-11185-6 |
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| author | Soocheol Kim Hoesung Yang Kwangsoo Cho Kyuwon Han Yusun Ahn Jin Hwa Ryu Kangbok Lee |
| author_facet | Soocheol Kim Hoesung Yang Kwangsoo Cho Kyuwon Han Yusun Ahn Jin Hwa Ryu Kangbok Lee |
| author_sort | Soocheol Kim |
| collection | DOAJ |
| description | Abstract Although smoke detectors are actively being studied to reduce false fire alarms, they still face challenging issues such as complex and elaborate alignment, high cost, large size, and poor performance. In particular, most smoke detection systems based on Mie scattering, which rely on single-scattering measurements, may not perform effectively in real-world environments where multiple scattering occurs. We present an advanced smoke detection instrument for aspirating smoke detection and classification based on multiple scattering. Multi-angle light scattering with an LED array instead of angle-positioned PDs was measured, and the unique optical property ratios of fire and non-fire aerosols were calculated. The feasibility of smoke detection and classification was verified by evaluating the classification performance of 10 types of fire and non-fire aerosols using general supervised learning algorithms. The advanced smoke detection instrument features a simple design, making it cost-effective and compact. In addition to reducing false fire alarms, it is expected to contribute to choosing appropriate fire extinguishers based on fire class and advancing research of complex fire detection. |
| format | Article |
| id | doaj-art-16a1d50c49804798bfa12c7392f0d12e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-16a1d50c49804798bfa12c7392f0d12e2025-08-20T04:02:56ZengNature PortfolioScientific Reports2045-23222025-07-0115111310.1038/s41598-025-11185-6LED array-based multi-angle light scattering for aspirating smoke detection and classificationSoocheol Kim0Hoesung Yang1Kwangsoo Cho2Kyuwon Han3Yusun Ahn4Jin Hwa Ryu5Kangbok Lee6Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Defense and Safety Convergence Research Division, Electronics and Telecommunications Research Institute (ETRI)Abstract Although smoke detectors are actively being studied to reduce false fire alarms, they still face challenging issues such as complex and elaborate alignment, high cost, large size, and poor performance. In particular, most smoke detection systems based on Mie scattering, which rely on single-scattering measurements, may not perform effectively in real-world environments where multiple scattering occurs. We present an advanced smoke detection instrument for aspirating smoke detection and classification based on multiple scattering. Multi-angle light scattering with an LED array instead of angle-positioned PDs was measured, and the unique optical property ratios of fire and non-fire aerosols were calculated. The feasibility of smoke detection and classification was verified by evaluating the classification performance of 10 types of fire and non-fire aerosols using general supervised learning algorithms. The advanced smoke detection instrument features a simple design, making it cost-effective and compact. In addition to reducing false fire alarms, it is expected to contribute to choosing appropriate fire extinguishers based on fire class and advancing research of complex fire detection.https://doi.org/10.1038/s41598-025-11185-6 |
| spellingShingle | Soocheol Kim Hoesung Yang Kwangsoo Cho Kyuwon Han Yusun Ahn Jin Hwa Ryu Kangbok Lee LED array-based multi-angle light scattering for aspirating smoke detection and classification Scientific Reports |
| title | LED array-based multi-angle light scattering for aspirating smoke detection and classification |
| title_full | LED array-based multi-angle light scattering for aspirating smoke detection and classification |
| title_fullStr | LED array-based multi-angle light scattering for aspirating smoke detection and classification |
| title_full_unstemmed | LED array-based multi-angle light scattering for aspirating smoke detection and classification |
| title_short | LED array-based multi-angle light scattering for aspirating smoke detection and classification |
| title_sort | led array based multi angle light scattering for aspirating smoke detection and classification |
| url | https://doi.org/10.1038/s41598-025-11185-6 |
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