Review Study on Recent Developments in Fire Sensing Methods
Scientific society has envisioned a considerable advancement in various fire detection methods due to the development in the field of machine learning, information technology, sensors, and signal processing technology. These intelligent processing technologies help in reducing the detection time and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10225335/ |
| _version_ | 1827856417922482176 |
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| author | S. Fouziya Sulthana Cross T. Asha Wise C. V. Ravikumar Rajesh Anbazhagan G. Idayachandran Giovanni Pau |
| author_facet | S. Fouziya Sulthana Cross T. Asha Wise C. V. Ravikumar Rajesh Anbazhagan G. Idayachandran Giovanni Pau |
| author_sort | S. Fouziya Sulthana |
| collection | DOAJ |
| description | Scientific society has envisioned a considerable advancement in various fire detection methods due to the development in the field of machine learning, information technology, sensors, and signal processing technology. These intelligent processing technologies help in reducing the detection time and false alerts from the sensors. Over the past few decades, there is substantial improvement in the computing power of computers and a decrease in the cost of image sensors, enabling video-based fire detection technology for real-time applications. The ability to differentiate between fire and non-fire threats is improved with the development of the Internet of Things (IoT) or Wireless Sensor Networks (WSN). Unmanned Aerial Vehicles (UAVs) are becoming a more realistic solution for monitoring and detecting fire due to their remote sensing capabilities. This paper summarizes various fire detection methods and the technologies behind them. The issues related to the present fire detection methods and future research initiatives are discussed. The primary aspects of the fire signatures like flame, smoke, ambient temperature, and surrounding gaseous levels concerning different sensors are analyzed with their benefits and drawbacks based on evaluating a range of parameters. |
| first_indexed | 2024-03-12T12:25:29Z |
| format | Article |
| id | doaj.art-30553ae450b64f8583737c447b305a77 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T12:25:29Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-30553ae450b64f8583737c447b305a772023-08-29T23:00:17ZengIEEEIEEE Access2169-35362023-01-0111902699028210.1109/ACCESS.2023.330681210225335Review Study on Recent Developments in Fire Sensing MethodsS. Fouziya Sulthana0https://orcid.org/0000-0002-3879-6839Cross T. Asha Wise1C. V. Ravikumar2Rajesh Anbazhagan3G. Idayachandran4https://orcid.org/0000-0001-9940-4731Giovanni Pau5https://orcid.org/0000-0002-5798-398XDepartment of Mechatronics Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, IndiaDepartment of Mechatronics Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, IndiaSchool of Electronics Engineering, Vellore Institute of Technology, Vellore, IndiaSchool of Electrical and Electronics Engineering, SASTRA University, Thanjavur, IndiaSchool of Electronics Engineering, Vellore Institute of Technology, Chennai, IndiaFaculty of Engineering and Architecture, Kore University of Enna, Enna, ItalyScientific society has envisioned a considerable advancement in various fire detection methods due to the development in the field of machine learning, information technology, sensors, and signal processing technology. These intelligent processing technologies help in reducing the detection time and false alerts from the sensors. Over the past few decades, there is substantial improvement in the computing power of computers and a decrease in the cost of image sensors, enabling video-based fire detection technology for real-time applications. The ability to differentiate between fire and non-fire threats is improved with the development of the Internet of Things (IoT) or Wireless Sensor Networks (WSN). Unmanned Aerial Vehicles (UAVs) are becoming a more realistic solution for monitoring and detecting fire due to their remote sensing capabilities. This paper summarizes various fire detection methods and the technologies behind them. The issues related to the present fire detection methods and future research initiatives are discussed. The primary aspects of the fire signatures like flame, smoke, ambient temperature, and surrounding gaseous levels concerning different sensors are analyzed with their benefits and drawbacks based on evaluating a range of parameters.https://ieeexplore.ieee.org/document/10225335/Fire sensorssmoke detectorsflame detectorsheat detectorsgas detector |
| spellingShingle | S. Fouziya Sulthana Cross T. Asha Wise C. V. Ravikumar Rajesh Anbazhagan G. Idayachandran Giovanni Pau Review Study on Recent Developments in Fire Sensing Methods IEEE Access Fire sensors smoke detectors flame detectors heat detectors gas detector |
| title | Review Study on Recent Developments in Fire Sensing Methods |
| title_full | Review Study on Recent Developments in Fire Sensing Methods |
| title_fullStr | Review Study on Recent Developments in Fire Sensing Methods |
| title_full_unstemmed | Review Study on Recent Developments in Fire Sensing Methods |
| title_short | Review Study on Recent Developments in Fire Sensing Methods |
| title_sort | review study on recent developments in fire sensing methods |
| topic | Fire sensors smoke detectors flame detectors heat detectors gas detector |
| url | https://ieeexplore.ieee.org/document/10225335/ |
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