基于MapReduce技术的分层变电站监控信息优化设计

Shaoxiao Han, Xianghua Pan, Chen Li, Shengyuan Gao
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引用次数: 2

摘要

随着山东省区域经济的快速发展,电力需求迅速增长。因此,变电站建设及其状态信息检测系统的发展产生了海量的电力设备状态信息数据,需要对这些数据进行整理和规范工作。本文采用MapReduce技术,按站控层、站仓层、过程层对监测信息进行降级处理;同时以变电站的电压等级为切入点,将相似或相同的监控信息进行组合处理。与传统的在集群计算机平台上处理电力设备监控信息的方法相比,可以验证MapReduce技术在变电站监控信息云平台上实现监控数据的简化、递归和移植。它可以从效用价值、完成时间和负载均衡三个方面提高工作效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized design of hierarchical substation monitoring information based on MapReduce technology
With the rapid development of regional economy in Shandong Province, the demand of electric power increases rapidly. So, the development of the substation construction and its status information detection system has led to the massive power equipment status information data, which needs to be sorted out and standardized work. In this paper, the MapReduce technology is used for the degradation processing of monitor information according to the station control layer, bay layer and process layer; meanwhile, the voltage level of substation is used as the breakthrough point, and the similar or same monitoring information is combined and processed. Compared with the traditional method of processing power equipment monitoring information on cluster computer platform, the MapReduce technique can be verified to achieve monitoring data simplification, recursive and transplantation in substation monitoring and control information cloud platform. It could improve work efficiency in the three aspects of utility value, completion time and load balance.
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