基于Storm的城市消防联网远程监控系统的实时数据处理应用

针对城市消防联网远程监控系统中实时信息数据逐渐增长而引出的大数据问题,传统的消防系统无法实时、高效地处理消防实时数据的问题,提出了一种基于云计算和Storm实时数据处理系统的解决方案;对于开源的Storm框架进行需求和性能分析,实现对其技术架构上的改进,并结合消防系统的特点,提出一套高实时性、高可扩展性的消防联网监控中心的数据实时处理的体系架构,同时也进行了云计算平台的搭建,利用心跳检测机制保证各个监控单位的实时性连接;研究表明,基于云计算和Storm平台架构完全适用于消防联网监控中心的实时消防数据的处理,具有高效性、高可靠性、性能显著等特性。

City Fire Remote Minitor Network System Based on Storm for Real-time Data Processing Application

In the city fire control network system, the data of real-time information has become larger and larger. The traditional fire control system cannot deal with the problem of real time data with high efficiency. We analyze the requirements and performance of the open source Storm framework, and implement the improvement on the technical architecture and the characteristics of the fire system. We put forward a set of system architecture for real-time processing of data in high real-time and high scalability of the fire control network monitoring center. At the same time, the construction of the cloud computing platform, using the heartbeat detection mechanism to ensure the real-time performance of the monitoring unit. The research shows that, based on cloud computing and Storm platform, the architecture is fully applicable to the fire control system, which has the characteristics of high efficiency, high reliability, high performance and so on.