Prediction Model of Fire Rescue Alarm Times Based on Time Series Analysis
DOI: 10.23977/cpcs.2022.060102 | Downloads: 24 | Views: 916
Author(s)
Shuhao Ge 1, Haichuan Huang 1, Rongze Yang 1
Affiliation(s)
1 School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China
Corresponding Author
Shuhao GeABSTRACT
Based on the data of a place from January 1, 2016 to December 31, 2019, this paper analyzes the number of fire rescue alarms in months, establishes a time series model by using SPSS software, and obtains that the type of alarm number prediction model is simple seasonal type through the calculation and analysis of BIC selection principle and fitting statistical stationary R^2. At the same time, ACF and PACF coefficients show that the model has high accuracy and stability. Considering the policy and other influencing factors, the model is well trained, and the winters additive mathematical model is established by using the data given in 2020 to predict the number of police calls in 2021.
KEYWORDS
Time series analysis, Winters additive mathematical model, Prediction modelCITE THIS PAPER
Shuhao Ge, Haichuan Huang, Rongze Yang, Prediction Model of Fire Rescue Alarm Times Based on Time Series Analysis. Computing, Performance and Communication Systems (2022) Vol. 6: 7-11. DOI: http://dx.doi.org/10.23977/cpcs.2022.060102.
REFERENCES
[1] Jiang Qiyuan, Xie Jinxing, ye Jun, mathematical model (Third Edition): Higher Education Press, August 2003
[2] Lingo software package user manual: scientific research China sciei Com.
[3] Long Xiaoming Current situation and problems of fire emergency rescue command system construction in China [J] Fire today, 2020, 5 (05): 32-33
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