摘要
为了改善电网企业跨专业多源数据挖掘能力,从数据采集、数据融合能力和数据挖掘能力方面分别对电网企业跨专业多源数据进行分析。在进行数据融合时,设计的硬件结构包括ARM处理器,通过A/D转换实现多维数据信息的转换,将数据信息从模拟数据量转换为数字信息量,并构建多源数据挖掘函数,从数据采集、数据降维、数据分类、数据挖掘等一些列动作中获取电网企业跨专业多源数据之间的联系,提高了电力整体数据信息的把控能力。通过试验,证明方法的数据融合和分析能力较强。
In order to improve the cross-professional multi-source data mining capabilities of power grid enterprises,this research analyzes the power grid enterprises’cross-professional multi-source data from the aspects of data collection,data fusion and data mining capabilities.During data fusion,the designed hardware structure includes an ARM processor,which realizes the conversion of multi-dimensional data information through A/D conversion,converts data information from analog data to digital information,and builds multi-source data mining functions.The connection between cross-professional and multi-source data of power grid enterprises is obtained by a series of actions such as data collection,data dimensionality reduction,data classification,and data mining,which improves the ability to control the overall power data information.Through experiments,it is found that the method has strong data fusion ability and strong data analysis ability.
作者
万鹏
郭飞
史渊源
王亮
朱东歌
吴佳静
WAN Peng;GUO Fei;SHI Yuan-yuan;WANG Liang;ZHU Dong-ge;WU Jia-jing(State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750001,China;Electric Power Research Institute of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750001,China;Ningxia Xintong Network Technology Co.,Ltd.,Yinchuan 750001,China)
出处
《信息技术》
2023年第10期141-146,共6页
Information Technology
