摘要
在研究监控系统整体结构的基础上,构建了以K-means算法为中心的数据融合系统。该系统以分类数据为基础,以大数据和云计算平台为依托,形成了智能化数据处理核心,为提高电源系统的控制决策和故障报警打下了良好的基础。
Based on the study of the overall structure of the monitoring system, the data fusion system centered on K-means algorithm were constructed. The system formed the intelligent data processing core with the large data and cloud computing platform based on the classification of data. And it laid a good foundation to improve the power system control decision and fault alarm.
出处
《电源技术》
CAS
CSCD
北大核心
2017年第11期1637-1639,共3页
Chinese Journal of Power Sources
关键词
智慧园区电源
远程监控
大数据
数据挖掘
intelligent park power
remote monitoring
large data
data mining
