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http://bura.brunel.ac.uk/handle/2438/30837| Title: | IoT-based cloud monitoring system for building fires |
| Authors: | Pan, G Xie, Y Yang, Q |
| Keywords: | smart buildings;low-cost sensors;real-time video monitoring;IoT;cloud;artificial neural networks |
| Issue Date: | 7-Jan-2025 |
| Publisher: | EDP Sciences |
| Citation: | Pan, G., Xie, Y. and .Yang, Q (2025) 'IoT-based cloud monitoring system for building fires', International Journal of Metrology and Quality Engineering, 16, 1, pp. 1 - 10. doi: 10.1051/ijmqe/2024020. |
| Abstract: | This paper presents an IoT (Internet of Things) based smart building fire cloud monitoring system to enhance fire safety in smart buildings. It integrates low-cost sensors and real-time video surveillance for real-time environmental data collection. Data are uploaded to the cloud for remote monitoring via a custom web interface. The system features an artificial neural network model that reduces computational complexity and response time, achieving >95% accuracy in fire prediction. It assists in planning evacuation routes based on fire location, enhancing safety and efficiency. Laboratory and field tests confirm reliable performance, and the novel system will find applications in smart fire detection and prevention. |
| Description: | Data availability statement: The dataset used in this paper is available at request. |
| URI: | https://bura.brunel.ac.uk/handle/2438/30837 |
| DOI: | https://doi.org/10.1051/ijmqe/2024020 |
| ISSN: | 2107-6839 |
| Other Identifiers: | ORCiD: Qingping Yang https://orcid.org/0000-0002-2557-8752 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © G. Pan et al., Published by EDP Sciences, 2025. Licence: Creative Commons. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 2.31 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
