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Sensor and Modelling Driven Real-Time Fire Forecast

Jahn, Wolfram

Firefighters often face uncertain conditions when entering a building to attack a fire, and have to make decisions based solely on their experience.

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Sensor and Modelling Driven Real-Time Fire Forecast

Jahn, Wolfram

Abstract

Firefighters often face uncertain conditions when entering a building to attack a fire, and have to make decisions based solely on their experience.

Sensor and Modelling Driven Real-Time Fire Forecast

Jahn, Wolfram

Abstract

Firefighters often face uncertain conditions when entering a building to attack a fire, and have to make decisions based solely on their experience.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Seitennavigation

Dokumentinformationen

Ähnliche Titel

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Dokumentinformationen

Titel:

Sensor and Modelling Driven Real-Time Fire Forecast

Weitere Titelangaben:

Digital Innovations in

Beteiligte:

Huang, Xinyan (Herausgeber:in) / Tam, Wai Cheong (Herausgeber:in) / Jahn, Wolfram (Autor:in)

Erschienen in:

Intelligent Building Fire Safety and Smart Firefighting ; Kapitel: 12 ; 281-303

Digital Innovations in Architecture, Engineering and Construction

Erscheinungsdatum:

26.01.2024

Format / Umfang:

23 pages

ISBN:

978-3-031-48161-1 , 978-3-031-48160-4

ISSN:

2731-7277 , 2731-7269

DOI:

https://doi.org/10.1007/978-3-031-48161-1_12

Medientyp:

Aufsatz/Kapitel (Buch)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Engineering , Fire Science, Hazard Control, Building Safety , Building Construction and Design , Artificial Intelligence , Cyber-physical systems, IoT , Professional Computing

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Schmalz, R.A. / Richardson, P.H. / American Society of Civil Engineers | British Library Conference Proceedings | 2010

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