摘要
基于大数据与云计算、Hadoop技术以及并行数据库结合,构建了消防物联网大数据平台.该平台其主界面有系统总览、联网信息智慧高层、智慧社区综合分析消防资源、视频监控、维保资料、系统监管九个部分组成.实现了对监控内容数据分析及对比,由历史数据趋势分析找出关键问题.以天津市西青区20家单位为例,通过应用该平台,由初期误报火警月均3000多条、水系统告警700多条探测器故障3500多条,经过督促整改加强维保等措施,使得目前误报火警降至月均600多条、水系统告警个位数、探测器故障降至100条以内,提升了消防系统管理可靠性及效率.
Combining Big Data with Cloud Computing, Hadoop Technology and Parallel Database, a large data platform for fire Internet of Things is constructed. The main interface of the platform consists of nine parts: system overview, networking information, intelligent high-level, intelligent community, comprehensive analysis, fire fighting resources, video surveillance, maintenance information and system supervision.The data analysis and comparison of monitoring content are realized, and the key problems are found by the trend analysis of historical data. Applying this platform in 20 units in Xiqing District of Tianjin, the initial false alarm monthly which was average of more than 3 000 was reduced to more than 600, water system alarm which was more than 700 was reduced to single figures, detector fault which was more than3 500 was reduced to less than 100, through supervision, rectification and maintenance. The application of the platform can improve the reliability and efficiency of fire control system management.
作者
何中旭
王悦
李继繁
王莹
刘晓萌
宋文华
He Zhongxu;Wang Yue;Li Jifan;Wang Ying;Liu Xiaomeng;Song Wenhua(Tianjin Fire Rescue Bureau,Tianjin 300090,China;School of Control and Mechanical Engineering,Tianjin Chengjian University,Tianjin 300384,China;School of Environmental Science and Engineering,Tianjin Polytechnic University,Tianjin 300387,China)
出处
《南开大学学报(自然科学版)》
CAS
CSCD
北大核心
2020年第5期15-20,共6页
Acta Scientiarum Naturalium Universitatis Nankaiensis
基金
天津市科技重大专项与工程(16ZXHLSF00290)。
关键词
消防物联网
火灾报警与监控
大数据
综合分析与研判
消防智能管理系统
internet of things for fire protection
fire alarm and monitoring management
big data
com-prehensive analysis and judgment
intelligent managenment system for fire protection