A next-generation fire suppression system capable of autonomously detecting oil fires aboard naval vessels and targeting and extinguishing them has been developed domestically for the first time. The system uses AI to
A next-generation fire suppression system capable of autonomously detecting oil fires aboard naval vessels and targeting and extinguishing them has been developed domestically for the first time. The system uses AI to determine the authenticity of a fire, activating only when an actual fire occurs. It concentrates its discharge solely on the fire source, much like a firefighter extinguishing flames.
A research team led by Senior Researcher Hyuk Lee at the AX Convergence Research Center, Virtual Engineering Platform Research Division, Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu), under the National Research Council of Science & Technology (NST, Chairman Young-Shik Kim), has developed this system and successfully completed trials on a vessel.
This newly developed initial suppression firefighting system for shipboard oil fires represents an advanced iteration of the research team's autonomous firefighting technology, specifically engineered for the most common oil fires occurring on naval vessels. Its key feature is the ability to autonomously detect oil fires caused by equipment or aircraft leaks in engine rooms, hangars, decks, etc., and accurately target and extinguish the fire source even under complex environmental conditions such as sea waves and ship motion.
Existing shipboard firefighting systems release extinguishing agents throughout the
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