Open AccessResearch on Intelligent Fire Risk Perception System of High-rise Building Based on Big Data of Internet of Things
Author(s) -
Xiaochun Wu,
Shixiang Tian,
Wei Wang,
Zebiao Jiang,
Kai Guo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2078/1/012074
Subject(s) - fire alarm system , active fire protection , internet of things , architectural engineering , firefighting , key (lock) , alarm , fire protection , big data , control (management) , the internet , fire control , building automation , grasp , computer security , engineering , computer science , civil engineering , artificial intelligence , electrical engineering , world wide web , chemistry , physics , organic chemistry , thermodynamics , operating system , software engineering
Due to the characteristics of high-rise buildings, such as dense personnel, complex structure and many combustibles, fire safety problems are more prominent. Aiming at the fire problem of high-rise buildings, based on the Internet of Things and big data technology, the intelligent fire risk perception system of high-rise buildings is studied. Through the functional modules of fire water monitoring system, intelligent electricity monitoring system and fire automatic alarm system, the hydraulic and water level of fire water, the current and voltage values of key nodes such as distribution cabinets, and the on-duty personnel in fire control room are mastered in real time, so as to grasp the specific location of fire in time and accurately, so as to realize the intelligent control of fire safety of high-rise buildings.