Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network
DOI:
https://doi.org/10.4108/eetsc.3742Keywords:
Smart City, Aircraft Hangar, Fire Protection, Safety, WSN, Data Visualization, Machine Learning, GUIAbstract
Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed based on the principle of a wireless sensor network (WSN), which operates by employing three sensor nodes at different locations inside the aircraft hangar to transmit gas concentrations in the air to a base station (BS) and send the resulting data from the sensor nodes to a server for analysis and visualization of the risk level. The server uses Machine Learning (ML) techniques to analyze the acquired data along with the sample gas data and displays the report in real time. When the smoke (gas) concentration is high, the server predicts a fire outbreak by displaying a high concentration zone on the Graphic User Interface (GUI). By this, the server automatically issues a warning and identifies the potential fire location. The technology is built to protect aircraft assets, hangar buildings, and human (personnel) life. A crucial part in the early detection of fire is played by the intelligent system
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Gracias, J.S.; Parnell, G.S.; Specking, E.; Pohl, E.A.; Buchanan, R. Smart Cities—A Structured Literature Review. Smart Cities 2023, 6, 1719-1743. https://doi.org/10.3390/smartcities6040080
Attaran, H., Kheibari, N. & Bahrepour, D. Toward integrated smart city: a new model for implementation and design challenges. GeoJournal 87 (Suppl 4), 511–526 (2022). https://doi.org/10.1007/s10708-021-10560-w DOI: https://doi.org/10.1007/s10708-021-10560-w
Yin, C. T., Xiong, Z., Chen, H., Wang, J. Y., Cooper, D., & David, B. (2015). A literature survey on smart cities. Science China Information Sciences, 58(10), 1–18. https://doi.org/10.1007/s11432-015-5397-4 DOI: https://doi.org/10.1007/s11432-015-5397-4
Smolnikar, M., Mihelin, M., Berke, G., Kandus, G., & Mohorcic, M. (2010). ISM bands spectrum sensing based on Versatile Sensor Node platform. 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010). https://doi.org/10.1109/ISABEL.2010.5702937 DOI: https://doi.org/10.1109/ISABEL.2010.5702937
Samuel David Iyaghigba, Comfort Sunday Ayhok (2021, April). “Hangar fire detection alarm with algorithm for extinguisher”, Global Journal of Engineering and Technology Advance. DOI: https://doi.org/10.30574/gjeta.2021.7.1.0057
Khan, M.A. and Hussain, S. (2020, December) "Energy Efficient Direction-Based Topology Control Algorithm for WSN". Wireless Sensor Network, 12, 37-47. DOI: https://doi.org/10.4236/wsn.2020.123003
W Mohammed Al-Shalabi, Mohammed Anbar, Tat-Chee Wan a b, Zakaria Alqattan. (2019, October), “Energy efficient multi-hop path in wireless sensor networks using an enhanced genetic algorithm”, ELSEVIER Volume 500, Pages 259-273 DOI: https://doi.org/10.1016/j.ins.2019.05.094
Devraj Gautam, Sandeep Bhatia, Neha Goel, Basetty Mallikaijuna, Ganesha H S, Bharat Bhushan Naib, "Development of IoT Enabled Framework for LPG Gas Leakage Detection and Weight Monitoring System", 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), pp.182-187, 2023. DOI: https://doi.org/10.1109/DICCT56244.2023.10110294
Avazov, K.; Mukhiddinov, M.; Makhmudov, F.; Cho, Y.I. Fire Detection Method in Smart City Environments Using a Deep-Learning-Based Approach. Electronics 2022, 11, 73. https://doi.org/10.3390/electronics11010073
Gracias, J.S.; Parnell, G.S.; Specking, E.; Pohl, E.A.; Buchanan, R. Smart Cities—A Structured Literature Review. Smart Cities 2023, 6, 1719-1743. https://doi.org/10.3390/smartcities6040080 DOI: https://doi.org/10.3390/smartcities6040080
Tianhai Peng, Fan Yang, Lei Su, Lingyan Sun, Yu Chen, "Information model of power distribution IoT terminal for high-rise building electrical fire monitoring", International Journal of Metrology and Quality Engineering, vol.14, pp.5, 2023 DOI: https://doi.org/10.1051/ijmqe/2023005
Samih, H. (2019). Smart cities and internet of things. Journal of Information Technology Case and Application, 21(1), 3–12. https://doi.org/10.1080/15228053.2019.1587572 DOI: https://doi.org/10.1080/15228053.2019.1587572
X. Long et al., "Design of novel digital GFSK modulation and demodulation system for short-range wireless communication application," 2016 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC), Hong Kong, China, 2016, pp. 299-302, doi: 10.1109/EDSSC.2016.7785267. DOI: https://doi.org/10.1109/EDSSC.2016.7785267
Nordic Semiconductor ASA, "nRF24L01+ Single Chip 2.4GHz Transceiver”, Product Specification v1.0, September 2008. (Available Online): https://infocenter.nordicsemi.com/pdf/nRF24LU1P_PS_v1.1.pdf
Folgosa, Ivano and Excell, Peter S., A Low Cost Wireless Interface Linking a Microcontroller to a Microcomputer Server (April 1, 2020). Annals of Emerging Technologies in Computing (AETiC), Vol. 4, No. 2, 2020, Available at SSRN: https://ssrn.com/abstract=3760255 DOI: https://doi.org/10.33166/AETiC.2020.02.004
Narkhede, Parag; Walambe, Rahee ; Chandel, Pulkit; Mandaokar, Shruti; Kotecha, Ketan (2022), “MultimodalGasData: Multimodal Dataset for Gas Detection and Classification”, Mendeley Data, V2, doi: 10.17632/zkwgkjkjn9.2 DOI: https://doi.org/10.3390/data7080112
Vetrivel Sankar, Krishnan Balasubramaniam, Sundara Ramaprabhu, April 9, 2022, "Gas Sensor Demo", IEEE Dataport, doi: https://dx.doi.org/10.21227/19qb-9t12.
Avazov, K.; Mukhiddinov, M.; Makhmudov, F.; Cho, Y.I. Fire Detection Method in Smart City Environments Using a Deep-Learning-Based Approach. Electronics 2022, 11, 73. https://doi.org/10.3390/electronics11010073 DOI: https://doi.org/10.3390/electronics11010073
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Copyright (c) 2023 Abbas Abdullahi, Mathias Usman Bonet, Ubadike O. C., Ameer Muhammed, Ubadike O. A.
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