Indexed In Scopus
  Scopus ID: 21100926589

Nanotechnology Based Building Fire Safety Using Artificial Intelligent Facilities System

W.Y. Leong, S.C. Chan and T.D. Subash

Abstract

Artificial intelligence (AI) can be used in building fire safety systems to improve their efficiency and effectiveness. An AI-powered facility management system can detect potential fire hazards and take preventive measures to minimize the risk of fires. In this paper, research on how AI can help in maintaining building fire safety will be presented. On fire detection, AI-based sensors would detect fires early, even before they are visible to the naked eye. These sensors can detect heat, smoke, and other gases that indicate a fire, and alert the building occupants and fire department. To help with fire prevention, AI helps prevent fires from occurring in the first place. It analyzes data from building systems such as HVAC, electrical, and lighting to identify potential hazards and take corrective measures before they become a fire risk. To facilitate predictive maintenance, AI helps with the predictive maintenance of building systems, which helps prevent equipment failure that could lead to a fire. It analyzes building layouts and identifies the best evacuation routes, as well as alerts occupants and emergency responders to the location of the fire and the safest exit routes. A case study will be presented in this paper, of which after a fire, AI helps with post-fire analysis to determine the cause of the fire and identify any areas of the building that need to be repaired or upgraded to prevent future fires. Overall, an AI-powered facility management system can greatly improve building fire safety by detecting and preventing fires, helping with evacuation planning, and providing post-fire analysis to improve building safety in the future.

Published on: December 22, 2023
doi: 10.17756/nwj.2023-s5-024
Citation: Leong WY, Chan SC, Subash TD. 2023. Nanotechnology Based Building Fire Safety Using Artificial Intelligent Facilities System. NanoWorld J 9(S5): S119-S124.

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