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Sensor and Modelling Driven Real-Time Fire Forecast

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Intelligent Building Fire Safety and Smart Firefighting

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Abstract

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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Acknowledgements

The author would like to recognise the financial support provided by the Timber Innovation Center UC and ANID BASAL FB210015 (CENAMAD).

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Authors and Affiliations

  1. Department of Mechanical and Metallurgical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

    Wolfram Jahn

  2. Centro Nacional de Excelencia Para la Industria de la Madera (CENAMAD), Pontificia Universidad Católica de Chile, Santiago, Chile

    Wolfram Jahn

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  1. Wolfram Jahn
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Correspondence to Wolfram Jahn .

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Editors and Affiliations

  1. Department of Building Environment and Energy Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

    Xinyan Huang

  2. Fire Research Division, National Institute of Standards and Technology, Gaithersburg, MD, USA

    Wai Cheong Tam

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Jahn, W. (2024). Sensor and Modelling Driven Real-Time Fire Forecast. In: Huang, X., Tam, W.C. (eds) Intelligent Building Fire Safety and Smart Firefighting. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. https://doi.org/10.1007/978-3-031-48161-1_12

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

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