AI-enhanced fire detection and suppression system for autonomous ships Article Swipe
Hyuk Lee
,
Jung Hoon Chung
,
Hyun Jung Chung
,
Jong-Hwan Kim
,
Yong-Ho Yoo
,
G H Lim
,
Won‐Sun Ruy
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijnaoe.2024.100628
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijnaoe.2024.100628
The rapid propagation of fire after a flashover can result in significant economic losses and human casualties. Meanwhile, the shipping industry faces crew shortages, making unmanned fire detection crucial for reducing manpower while ensuring seamless operations. Although autonomous fire detection and suppression systems (AFDSS) have been applied in tunnels and building infrastructure, no specialized AFDSS exists for unmanned autonomous ships, where minimizing false alarms and ensuring precise fire suppression under irregular wave conditions are critical. In this paper, we introduce an innovative AFDSS that integrates RGB, infrared (IR), and ultraviolet (UV) sensors to reduce false alarms and employ a reinforcement learning algorithm to optimize water spray under sea conditions. We present the design, system integration, and fire-extinguishing experiments, demonstrating the effectiveness of the system in enhancing the fire safety of autonomous ships under simulated sea-state conditions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijnaoe.2024.100628
- OA Status
- gold
- Cited By
- 4
- References
- 54
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404884947Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ijnaoe.2024.100628Digital Object Identifier
- Title
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AI-enhanced fire detection and suppression system for autonomous shipsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Hyuk Lee, Jung Hoon Chung, Hyun Jung Chung, Jong-Hwan Kim, Yong-Ho Yoo, G H Lim, Won‐Sun RuyList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijnaoe.2024.100628Publisher landing page
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.ijnaoe.2024.100628Direct OA link when available
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Automotive engineering, Fire detection, Computer science, Engineering, Forensic engineering, Marine engineering, Real-time computing, Environmental science, Architectural engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(AFDSS) | 43 |
| abstract_inverted_index.applied | 46 |
| abstract_inverted_index.crucial | 28 |
| abstract_inverted_index.design, | 112 |
| abstract_inverted_index.precise | 66 |
| abstract_inverted_index.present | 110 |
| abstract_inverted_index.sensors | 91 |
| abstract_inverted_index.systems | 42 |
| abstract_inverted_index.tunnels | 48 |
| abstract_inverted_index.Although | 36 |
| abstract_inverted_index.building | 50 |
| abstract_inverted_index.economic | 12 |
| abstract_inverted_index.ensuring | 33, 65 |
| abstract_inverted_index.industry | 20 |
| abstract_inverted_index.infrared | 86 |
| abstract_inverted_index.learning | 100 |
| abstract_inverted_index.manpower | 31 |
| abstract_inverted_index.optimize | 103 |
| abstract_inverted_index.reducing | 30 |
| abstract_inverted_index.seamless | 34 |
| abstract_inverted_index.shipping | 19 |
| abstract_inverted_index.unmanned | 25, 57 |
| abstract_inverted_index.algorithm | 101 |
| abstract_inverted_index.critical. | 74 |
| abstract_inverted_index.detection | 27, 39 |
| abstract_inverted_index.enhancing | 125 |
| abstract_inverted_index.flashover | 7 |
| abstract_inverted_index.introduce | 79 |
| abstract_inverted_index.irregular | 70 |
| abstract_inverted_index.sea-state | 134 |
| abstract_inverted_index.simulated | 133 |
| abstract_inverted_index.Meanwhile, | 17 |
| abstract_inverted_index.autonomous | 37, 58, 130 |
| abstract_inverted_index.conditions | 72 |
| abstract_inverted_index.innovative | 81 |
| abstract_inverted_index.integrates | 84 |
| abstract_inverted_index.minimizing | 61 |
| abstract_inverted_index.shortages, | 23 |
| abstract_inverted_index.casualties. | 16 |
| abstract_inverted_index.conditions. | 108, 135 |
| abstract_inverted_index.operations. | 35 |
| abstract_inverted_index.propagation | 2 |
| abstract_inverted_index.significant | 11 |
| abstract_inverted_index.specialized | 53 |
| abstract_inverted_index.suppression | 41, 68 |
| abstract_inverted_index.ultraviolet | 89 |
| abstract_inverted_index.experiments, | 117 |
| abstract_inverted_index.integration, | 114 |
| abstract_inverted_index.demonstrating | 118 |
| abstract_inverted_index.effectiveness | 120 |
| abstract_inverted_index.reinforcement | 99 |
| abstract_inverted_index.infrastructure, | 51 |
| abstract_inverted_index.fire-extinguishing | 116 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.86610374 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |