ARIMA Model-Based Fire Rescue Prediction

Abstract

In recent years, urban buildings have become taller, occupying more and more areas, frequent fires, and increasingly difficult fire rescue tasks. Predicting fire risks in advance will help fire rescue work. Therefore, this paper proposes a fire risk prediction based on the ARIMA model. By analyzing the fire rescue data of a certain place from 2016 to 2020 and based on the data from January 1, 2016, to December 31, 2019, an ARIMA model for predicting the number of fire rescue polices was established. The data from January 1, 2020, to December 31, 2020, are used as the validation data set of the model to evaluate the accuracy and stability of the model. The results show that the ARIMA model can be better applied to fire rescue prediction and provides a scientific prediction method for the research of smart fire rescue work.