基于大数据的智能家居消防预警系统研究  

Smart Home Fire Early Warning System Based on Big Data

作　　者：董萍[1] DONG Ping(Sanmenxia Polytechnic,Sanmenxia,Henan,China 472000)

机构地区：[1]三门峡职业技术学院信息传媒学院,河南三门峡472000

出　　处：《湖南邮电职业技术学院学报》2021年第4期4-6,41,共4页Journal of Hunan Post and Telecommunication College

基　　金：三门峡市科学技术局科技发展规划项目“基于物联网ZigBee技术的家庭智能消防预警系统的设计与研究”(项目编号:2020010125)。

摘　　要：传统的智能家居消防预警系统具有成本高、电池耗电快等弊端,研究基于大数据的智能家居消防预警系统,能够实现对高层建筑智能家居的火灾报警、监管、故障等多种信号进行动态感知、智能研判、精准防控、实时监测,为消防工作提供了信息化支撑。The traditional smart home fire early warning system has the disadvantages of high cost and fast battery power consumption. The smart home fire early warning system based on big data can realize dynamic perception, intelligent study and judgment, accurate prevention and control and real-time monitoring of various signals such as fire alarm, supervision and fault of smart home in high-rise buildings, so as to provide information support for fire prevention work.

关 键 词：智能家居 物联网 ZIGBEE 大数据 

分 类 号：TN929.5[电子电信—通信与信息系统] TU892[电子电信—信息与通信工程]