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Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters
To clarify the reasons for inaccurate fire detection in aircraft cargo holds, this article depicts research from the perspective of a single type of sensor detection. In terms of fire smoke, we select dual-wavelength photoelectric smoke sensors for fire-data collection and a genetic algorithm to opt...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650877/ https://www.ncbi.nlm.nih.gov/pubmed/37960496 http://dx.doi.org/10.3390/s23218797 |
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author | Wang, Haibin Ge, Hongjuan Zhang, Zhihui Bu, Zonghao |
author_facet | Wang, Haibin Ge, Hongjuan Zhang, Zhihui Bu, Zonghao |
author_sort | Wang, Haibin |
collection | PubMed |
description | To clarify the reasons for inaccurate fire detection in aircraft cargo holds, this article depicts research from the perspective of a single type of sensor detection. In terms of fire smoke, we select dual-wavelength photoelectric smoke sensors for fire-data collection and a genetic algorithm to optimize the classification and detection of random forest fires. From the perspective of fire CO concentration, we use PSO-LSTM to train a CO concentration compensation model to reduce sensor measurement errors. Research is then conducted from the perspective of various types of sensor detection, using the improved BP-AdaBoost algorithm to train a fire-detection model and achieve the high-precision identification of complex environments and fire situations. |
format | Online Article Text |
id | pubmed-10650877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106508772023-10-28 Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters Wang, Haibin Ge, Hongjuan Zhang, Zhihui Bu, Zonghao Sensors (Basel) Article To clarify the reasons for inaccurate fire detection in aircraft cargo holds, this article depicts research from the perspective of a single type of sensor detection. In terms of fire smoke, we select dual-wavelength photoelectric smoke sensors for fire-data collection and a genetic algorithm to optimize the classification and detection of random forest fires. From the perspective of fire CO concentration, we use PSO-LSTM to train a CO concentration compensation model to reduce sensor measurement errors. Research is then conducted from the perspective of various types of sensor detection, using the improved BP-AdaBoost algorithm to train a fire-detection model and achieve the high-precision identification of complex environments and fire situations. MDPI 2023-10-28 /pmc/articles/PMC10650877/ /pubmed/37960496 http://dx.doi.org/10.3390/s23218797 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Haibin Ge, Hongjuan Zhang, Zhihui Bu, Zonghao Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title | Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title_full | Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title_fullStr | Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title_full_unstemmed | Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title_short | Research on Fire-Detection Algorithm for Airplane Cargo Compartment Based on Typical Characteristic Parameters |
title_sort | research on fire-detection algorithm for airplane cargo compartment based on typical characteristic parameters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650877/ https://www.ncbi.nlm.nih.gov/pubmed/37960496 http://dx.doi.org/10.3390/s23218797 |
work_keys_str_mv | AT wanghaibin researchonfiredetectionalgorithmforairplanecargocompartmentbasedontypicalcharacteristicparameters AT gehongjuan researchonfiredetectionalgorithmforairplanecargocompartmentbasedontypicalcharacteristicparameters AT zhangzhihui researchonfiredetectionalgorithmforairplanecargocompartmentbasedontypicalcharacteristicparameters AT buzonghao researchonfiredetectionalgorithmforairplanecargocompartmentbasedontypicalcharacteristicparameters |