Design and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networks

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dc.contributor.authorAlmohammedi, A.A.
dc.contributor.authorBalfaqih, M.
dc.contributor.authorNahas, S.
dc.contributor.authorBokhari, A.
dc.contributor.authorAlqudsi, A.
dc.date.accessioned2024-09-29T16:21:16Z
dc.date.available2024-09-29T16:21:16Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description12th International Conference on AI and Mobile Services, AIMS 2023 -- 23 September 2023 through 26 September 2023 -- Hawaii -- 302359en_US
dc.description.abstractFire detection systems are considered an integral part of any building. However, most fire detection systems use a single passive sensor that usually faces some unavoidable problems, especially with the use of simple processing systems using threshold and trend algorithms. Although more than a single sensor and fire information are used in some existing systems, the real-time fire information and firefighting forecasting are not monitored. Such information facilitates good decision making in firefighting and rescue operations. This paper develops a fast and smart fire detection and monitoring system that can detect and monitor fire incidents with low probability of detection error. The system involves IoT sensors that detect all necessary fire information including heating release rate smoke level, and CO2 level. Moreover, a fire detection and monitoring model based on artificial neural networks is developed to identify fire information in real-time. The proposed system was tested in a chamber box with around 20 experiments. The positive fire detection rate was high with fast fire detection rate. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-031-45140-9_6
dc.identifier.endpage70en_US
dc.identifier.isbn978-303145139-3
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-85174587972en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage63en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-45140-9_6
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9662
dc.identifier.volume14202 LNCSen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBuilding fireen_US
dc.subjectDeep learningen_US
dc.subjectFire alarmen_US
dc.subjectInternet of Thingsen_US
dc.subjectSmart firefightingen_US
dc.titleDesign and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networksen_US
dc.typeConference Objecten_US

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