摘要
为了提高低负荷下数字化电能计量中对信息的实时检测能力,需要进行电能计量信息自动采集模型设计。本文提出一种基于多传感器融合技术的低负荷下数字化电能计量信息采集模型。首先,对传感器节点分布进行设计,实现计量信道均衡配置;然后,构建数字化电能计量信息自动采集的射频标签识别模型,结合空间重构方法实现传感器融合跟踪识别;最后,采用多传感器信息融合技术进行信息的特征提取和聚类分析,并对采样的计量信息采用谱分析方法进行时频特征分解和自适应分类,完成信息的自动采集。仿真结果表明,采用该模型进行信息采集的准确性较高、信息融合性能较好、采集精度高,证明该模型更有应用优势。
In order to improve the real-time detection capability of information in digital energy metering under low load,it is necessary to design an automatic acquisition model of energy measurement information.This paper proposes a digital energy metering information acquisition model based on multi-sensor fusion technology under low load.Firstly,The sensor node distribution is designed to realize the metering channel equalization configuration.Then,the RF tag recognition model for automatic collection of digital energy metering information is constructed,and the space fusion reconstruction method is used to realize sensor fusion tracking and recognition.Finally,the multi-sensor information fusion technology is used for feature extraction and aggregation of information.Class analysis,and the spectral analysis method is used to perform time-frequency feature decomposition and adaptive classification,and the information is automatically collected.The simulation results show that the accuracy of information acquisition is better,the information fusion performance is better,and the acquisition accuracy is higher.So there are more application advantages in this model.
作者
李建波
雷婧婷
郑天
LI Jian-bo;LEI Jing-ting;ZHENG Tian(State Grid Shaanxi Electric Power Research Institute,Xi'an 710010,China)
出处
《中国电子科学研究院学报》
北大核心
2019年第3期278-282,共5页
Journal of China Academy of Electronics and Information Technology
基金
2017年度陕西省自然科学基础研究计划项目(2017JQ6016)
关键词
低负荷
电能
数字化计量
信息采集
传感器
low load
electric energy
digital measurement
information collection
Sensor
作者简介
李建波(1980—),男,陕西人,高级工程师,主要研究方向为电力营销、电能计量质量监督管理、用电信息采集,E-mail:lun_2018@163.com;雷婧婷(1990—),女,陕西人,硕士,助理工程师,主要研究方向为电力营销、电力计量、用户用电信息采集系统;郑天(1982—),男,陕西人,硕士,高级工程师,主要研究方向为电力营销、电力计量、用户用电信息系统采集。
