一种基于HBase的智能电网时序大数据处理方法

Approach to Process Smart Grid Time-Serial Big Data Based on HBase

随着物联网关键技术与理论的发展,物联网应用受到了越来越多的关注。智能电网是一类典型的物联网应用,遍布全网的传感器收集及产生了大量反映关键设备运行状态的时序数据。如何利用时序数据确保智能电网的安全以及稳定运行是当前的研究热点之一。针对智能电网时序数据设备多、数据规模大、产生速度快等特点,提出了一种基于HBase的海量时序数据存储处理方法,着重介绍了如何利用策略驱动技术实现时序数据的灵活存储与处理。通过构建HBase集群,验证了该方法的有效性。

With the development of critical theories and technologies in Internet of things （IOT）, more and more attentions have been focused on the IOT applications. Smart Grid is one of the typical lOT applications on which a huge number of sensors have been deployed to gather and generate time-serial data to make sense of the running states of the key devices. How to apply these data to make smart grid running secure and stable is a hot research topic. By considering the fact that smart grid is characterized by a huge number of devices, a huge amount of data and the high speed data generating, an approach was proposed to store and process big time-serial data in smart grid based on the HBase. The emphasis is a policy-driven method to make the time-serial data organized in HBase on demand. The HBase cluster was deployed to verify effectiveness of the approach.