基于ARMA模型的火灾救援时间预测与分析

Zhiyuan Wang
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引用次数: 1

摘要

为了研究某地区火灾救援的预测与分析,本文主要通过建立数学模型来预测报警次数,并分析该地区与事件的相关性。根据2016-2020年每个月的呼叫次数,我们可以预测未来2021年每个月的消防救援呼叫次数。由于不同的时间与呼叫次数没有线性关系,我们可以通过文献[1]的时间序列数据建立模型。本文通过建立ARMA模型来研究呼警次数随时间的发展规律。通过2020年的数据集验证了模型的准确性和稳定性,并利用该模型对2021年每个月的消防救援报警次数进行了预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction and Analysis of Fire Rescue Times Based on ARMA Model
In order to study the prediction and analysis of fire rescue in a certain area, this paper mainly forecasts the number of police calls by establishing a mathematical model, and analyzes the correlation between the area and the incident. Given the number of calls in each month of 2016-2020, we can predict the number of fire rescue calls in each month of 2021 in the future. Because different times are not linearly related to the number of calls, we can establish a model through the time series data of paper [1]. This paper establishes ARMA model to study the law of the development of the number of police calls over time. The accuracy and stability of the model are verified by the data set in 2020, and the number of fire rescue police calls in each month of 2021 is predicted by this model.
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