Fire and rescue prediction based on SARIMA model and multifunction fitting

Ruibo Ma; Chuchu Yang

doi:10.1117/12.3035208

21 July 2024 Fire and rescue prediction based on SARIMA model and multifunction fitting

Ruibo Ma, Chuchu Yang

Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132193S (2024) https://doi.org/10.1117/12.3035208
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China

Abstract

Firefighting and rescue operations are crucial for ensuring the safety of lives and properties of every individual. In this study, we employed the SARIMA model and multiple function fitting methods to fit and forecast firefighting events of various magnitudes. Taking fifteen regions as examples and considering their geographical information, population density, and dispatch data, we predicted future dispatch counts and losses, and developed a shortest rescue indicator for interregional rescue operations. This research provides valuable insights and references for predicting and responding to firefighting incidents.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruibo Ma and Chuchu Yang "Fire and rescue prediction based on SARIMA model and multifunction fitting", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132193S (21 July 2024); https://doi.org/10.1117/12.3035208

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