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Erschienen in:
Toward a Sociotechnical Systems Framing for Performance-Based Design for Fire Safety Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

8. The Role of Artificial Intelligence in Firefighting

verfasst von : Jonathan L. Hodges, Brian Y. Lattimer, Vernon L. Champlin

Erschienen in: Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures

Verlag: Springer International Publishing

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Abstract

Artificial intelligence (AI) as a discipline focuses on developing computer systems which can interpret raw data to make observations, interpretations, and decisions which traditionally have required human insight. There are numerous decisions which need to be made on the fire ground during structural fire suppression operations. What specific hazards exist, where are the exposures, what is the most effective method of extinguishment, and does the survivability profile warrant interior rescue operations to name a few. Due to the restrictive timeline of a fire, these decisions are often based on limited information. As buildings are designed with more intelligent systems, it will be even harder for emergency responders to analyze all the available data in making these decisions without relying on AI-based systems. This chapter provides an overview of AI, available data, and the benefits AI systems can bring in data interpretation and decision-making in the fireground.

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Vorheriges Kapitel Intelligent Firefighting
Nächstes Kapitel Implementing AI to Assist Situation Awareness: Organizational and Policy Challenges
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Metadaten
Titel
The Role of Artificial Intelligence in Firefighting
verfasst von
Jonathan L. Hodges
Brian Y. Lattimer
Vernon L. Champlin
Copyright-Jahr
2022
Buch
Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures

Print ISBN: 978-3-030-98684-1

Electronic ISBN: 978-3-030-98685-8

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-98685-8_8

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