Research on High-rise Building Fire Early Warning System Based on Multidimensional Data Fusion

• Main Authors: Kong Shengli, Fang Xinmei, Yang Pengfei, Yang Zhen, Wang Wei
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03044.pdf

With the rapid development of urban construction and the increasing number of high-rise buildings, many problems have arisen, one of which is fire. High-rise building fires are developing rapidly, and it is difficult to extinguish them, which causes great losses and seriously threatens people’s safety in production and life. Early warning of high-rise building fire is an important means to prevent fire. In this paper, aiming at high-rise building fires, the causes of high-rise building fires in 2019 are analyzed statistically, and the causes of high-rise building fires are summarized. An intelligent early warning system of high-rise building fire based on multi-dimensional data fusion is proposed. Based on the actual forecast data, the early warning system based on multi-dimensional data fusion is analyzed through Matlab simulation, thus verifying the feasibility and reliability of the established fire early warning system. The research results have certain guiding significance for high-rise building fire warning.