Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression
An uncontrolled fire poses severe threats to both humans and the environment, making firefighting a perilous and complex task. Traditional fire suppression methods are inefficient, costly, and without thorough testing, leading to delays in gaining control over fire outbreaks. This paper presents a n...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-12-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241238674 |
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| author | Nusrat Jahan Tawab Bin Maleque Niloy Jannatul Fahima Silvi Mahdi Hasan Ishrat Jahan Nashia Riasat Khan |
| author_facet | Nusrat Jahan Tawab Bin Maleque Niloy Jannatul Fahima Silvi Mahdi Hasan Ishrat Jahan Nashia Riasat Khan |
| author_sort | Nusrat Jahan |
| collection | DOAJ |
| description | An uncontrolled fire poses severe threats to both humans and the environment, making firefighting a perilous and complex task. Traditional fire suppression methods are inefficient, costly, and without thorough testing, leading to delays in gaining control over fire outbreaks. This paper presents a novel firefighting drone aimed at mitigating risks to firefighters by extinguishing fires and providing real-time imaging, gas concentration and fire location data monitoring. The proposed intelligent quadcopter utilizes the Pixhawk PX4 microcontroller for precise control and the Pixhawk Telemetry system for data processing. The proposed device is constructed from an ultra-strength S500 Quadcopter frame, NodeMCU, Arduino Nano, various gas sensors, a servo motor to extinguish the fire and a camera to detect fire events in real time. Equipped with an FPV camera and a video transmitter, it transmits live video feed to the ground, enabling efficient navigation using the Flysky I6X controller. The intended position and height of the drone are controlled using an adaptive optimization technique known as fuzzy-based backstepping control. This article demonstrates the effectiveness of the device by collecting and analyzing gas emissions data from controlled burns of various materials. The drone successfully measured concentrations of CO, CO 2 , O 3 , SO 2 , and NO 2 in affected areas, providing valuable insights for firefighting operations. Different levels of gases have been measured depending on the concentration from burning alcohol, clothes, plastic materials, paper, leaves, and so on. The novelty of this work lies in the development and comprehensive analysis of an IoT-based firefighting drone conducting extensive real-time experiments. |
| format | Article |
| id | doaj-art-068112b9ea84491489efd0f4b21318dd |
| institution | Kabale University |
| issn | 0020-2940 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj-art-068112b9ea84491489efd0f4b21318dd2024-11-10T09:03:43ZengSAGE PublishingMeasurement + Control0020-29402024-12-015710.1177/00202940241238674Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppressionNusrat JahanTawab Bin Maleque NiloyJannatul Fahima SilviMahdi HasanIshrat Jahan NashiaRiasat KhanAn uncontrolled fire poses severe threats to both humans and the environment, making firefighting a perilous and complex task. Traditional fire suppression methods are inefficient, costly, and without thorough testing, leading to delays in gaining control over fire outbreaks. This paper presents a novel firefighting drone aimed at mitigating risks to firefighters by extinguishing fires and providing real-time imaging, gas concentration and fire location data monitoring. The proposed intelligent quadcopter utilizes the Pixhawk PX4 microcontroller for precise control and the Pixhawk Telemetry system for data processing. The proposed device is constructed from an ultra-strength S500 Quadcopter frame, NodeMCU, Arduino Nano, various gas sensors, a servo motor to extinguish the fire and a camera to detect fire events in real time. Equipped with an FPV camera and a video transmitter, it transmits live video feed to the ground, enabling efficient navigation using the Flysky I6X controller. The intended position and height of the drone are controlled using an adaptive optimization technique known as fuzzy-based backstepping control. This article demonstrates the effectiveness of the device by collecting and analyzing gas emissions data from controlled burns of various materials. The drone successfully measured concentrations of CO, CO 2 , O 3 , SO 2 , and NO 2 in affected areas, providing valuable insights for firefighting operations. Different levels of gases have been measured depending on the concentration from burning alcohol, clothes, plastic materials, paper, leaves, and so on. The novelty of this work lies in the development and comprehensive analysis of an IoT-based firefighting drone conducting extensive real-time experiments.https://doi.org/10.1177/00202940241238674 |
| spellingShingle | Nusrat Jahan Tawab Bin Maleque Niloy Jannatul Fahima Silvi Mahdi Hasan Ishrat Jahan Nashia Riasat Khan Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression Measurement + Control |
| title | Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression |
| title_full | Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression |
| title_fullStr | Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression |
| title_full_unstemmed | Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression |
| title_short | Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression |
| title_sort | development of an iot based firefighting drone for enhanced safety and efficiency in fire suppression |
| url | https://doi.org/10.1177/00202940241238674 |
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