sc 23(2): e5

Research Article

Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network

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  • @ARTICLE{10.4108/eetsc.3742,
        author={Abbas Abdullahi and Mathias Usman Bonet and Ubadike Osichinaka Chiedu and Ameer Muhammed and Ubadike Obunike Arinze},
        title={Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network},
        journal={EAI Endorsed Transactions on Smart Cities},
        volume={7},
        number={2},
        publisher={EAI},
        journal_a={SC},
        year={2023},
        month={10},
        keywords={Smart City, Aircraft Hangar, Fire Protection, Safety, WSN, Data Visualization, Machine Learning, GUI},
        doi={10.4108/eetsc.3742}
    }
    
  • Abbas Abdullahi
    Mathias Usman Bonet
    Ubadike Osichinaka Chiedu
    Ameer Muhammed
    Ubadike Obunike Arinze
    Year: 2023
    Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network
    SC
    EAI
    DOI: 10.4108/eetsc.3742
Abbas Abdullahi1,*, Mathias Usman Bonet1, Ubadike Osichinaka Chiedu1, Ameer Muhammed1, Ubadike Obunike Arinze1
  • 1: Air Force Institute of Technology, Kaduna
*Contact email: netlikora@yahoo.com

Abstract

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