基于Hadoop的藏区古建筑火灾探测系统研究

Research on the fire detection system in Tibetan ancient buildings based on Hadoop

结合无线传感器网络技术和大数据处理方式,在Linux系统上搭建Hadoop集群,以Hdfs分布存储传感节点的信息,建立实时Hbase分布式数据库。整个系统采用四层结构,介绍系统架构及设置,结合藏区寺庙古建筑火灾进行系统测试。结果表明,该系统在数据存储和处理方面可以提高计算速度,能够准确预测火情发生,具有很高的实用性和可扩展性。

Combined with the technology of wireless sensor network and the way of big data processing,built Hadoop cluster on Linux system,distributed stored information by Hdfs,and formed a realtime Hbase distributed database.The whole system uses four-layerstructure,the system structure and setup was introduced,and test was made based on Tibetan ancient buildings fire.The results showed that the system can effectively improve the speed of the data storage and processing and predict the occurrence of fire accurately.It has high practicability and expandability.