基于实时数据流的煤矿监测数据流计算模式分析

Analysis of Stream Computing Model for Coal Monitoring Based on Real-Time Data Stream

结合煤矿的现场实际情况和大数据中流计算框架,提出了基于Spark streaming的煤矿实时数据应用的流计算框架。该计算框架可以高效、快速处理来自于监测监控系统的不同系统、不同接口、不同传输速率的要求,快速地采集和处理监测监控系统的实时数据流,融合处理各业务系统的实时数据。该框架的建立可以使得基于采、掘、机、运、通等内容的矿井整体建立运营管控模型,在矿井生产全过程实现信息可采、过程可视、运行可控的能力,确保生产过程信息的完整性、可靠性、真实性。

The stream computing model for coal mine safety production monitoring based on real-time data stream was presented which combined with the actual situation of the coal mine and the large data stream computing framework. The computational framework can highly and rapid process the needs and requirements from different systems, different interfaces, and different transmission rate of the monitoring and control systems, real-time data acquisition and fusion data. The establishment of the framework can make the mining, excavation, machinery, transportation, and other aspects of the whole mine to establish a business management and control model. In the whole process of mine production, the information can be collected, the process can be seen, the ability to control the operation. The integrity, reliability and authenticity of the production process information were ensured.