TANG Lijun, XU Guolei, ZHOU Nianrong, et al. Identification of voltage levels based on multi-electric field sensor cooperative fusion[J]. 2020, (4): 129-131.
TANG Lijun, XU Guolei, ZHOU Nianrong, et al. Identification of voltage levels based on multi-electric field sensor cooperative fusion[J]. 2020, (4): 129-131. DOI: 10.13873/J.1000-9787(2020)04-0129-03.
基于多电场传感器协同融合的电压等级识别
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。
Abstract
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.