摘要
针对单传感器采集的电场强度值易发生畸变影响电压等级辨识准确率的问题,提出基于多传感器协同融合识别电压等级,对传感器进行非正交、分层布局,建立空间矢量电场降维重构模型,对多传感器采集数据进行协同融合计算最强电场强度值。对最强电场强度值进行二阶拟合,由二阶拟合参数识别电压等级。搭建实验平台,通过实验平台控制场源电压等级分别为10,35,110 k V,将采集数据装置靠近场源采集数据,根据处理后的拟合参数图形显示,可清晰地看到不同电压等级聚集在三维坐标系中不同位置。
Aiming at the problem that the electric field intensity value of single sensor acquisition is prone to distortion,which affects the accuracy of voltage level identification,study on multi-sensor cooperative fusion identification voltage level is proposed. Firstly,the sensor is non-orthogonal,hierarchically laid out. Then,establish a space vector electric field dimensionality reduction reconstruction model,so that calculate the strongest electric field strength value by fuse data acquired by multi-sensors. Finally,a second-order fitting is carried out on the strongest electric field strength value. voltage level is identified by the parameter. Experimental platform that can control field voltage levels of 10,35,and 110 k V is built up. Collecting data by devices close to the field source.The fitting parameters graphics obtained by data processing show that it can be clearly seen that different voltage levels are concentrated in different locations in three-dimensional coordinate system.
作者
唐立军
徐国垒
周年荣
张文斌
TANG Lijun;XU Guolei;ZHOU Nianrong;ZHANG Wenbin(Yunnan Power Grid Electric Power Research Institute of LLC,Kunming 650217,China;Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China;School of Electrical Engineering,Chongqing University,Chongqing 400044,China)
出处
《传感器与微系统》
CSCD
2020年第4期129-131,共3页
Transducer and Microsystem Technologies
基金
中国南方电网公司科技项目(YNKJXM20170180)。
关键词
协同融合
空间矢量电场
降维
二阶拟合
synergistic fusion
space vector electric field
dimensionality reduction
second order fitting