Research on online non-intrusive load identification system based on multi-threaded CUSUM-MLP algorithm

Hang Zhao, G. Wei, Chunhua Hu, Qian Liu
{"title":"Research on online non-intrusive load identification system based on multi-threaded CUSUM-MLP algorithm","authors":"Hang Zhao, G. Wei, Chunhua Hu, Qian Liu","doi":"10.1109/SENSORS47087.2021.9639843","DOIUrl":null,"url":null,"abstract":"Non-Intrusive Load Monitoring (NILM) has been promoted and many methods have been developed so far, which lead the online identification of loads into the focused research point. This paper proposes an online identification system framework of NILM based on multi-threaded Cumulative Summation-Multilayer Perceptron (CUSUM-MLP) event detection and identification algorithm. It contains a main thread and six sub-threads, and a combination of signal and slot mechanisms to accomplish the online recognition task. Data reception, data packetization and feature extraction are designed to be fulfilled in the main thread. Real-time data presentation, data storage, feature storage and real-time images are performed in four sub-threads. Aiming for the online mode, a sub-thread to update the data is designed. The CUSUM-MLP algorithm is packed as a sub-thread for event detection and load identification. Based on the proposed multi-threaded mechanism embedded with the CUSUM-MLP algorithm, the NILM online recognition system is verified through experiments, and shows high accuracy, good robustness and real-time performance.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"34 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS47087.2021.9639843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Non-Intrusive Load Monitoring (NILM) has been promoted and many methods have been developed so far, which lead the online identification of loads into the focused research point. This paper proposes an online identification system framework of NILM based on multi-threaded Cumulative Summation-Multilayer Perceptron (CUSUM-MLP) event detection and identification algorithm. It contains a main thread and six sub-threads, and a combination of signal and slot mechanisms to accomplish the online recognition task. Data reception, data packetization and feature extraction are designed to be fulfilled in the main thread. Real-time data presentation, data storage, feature storage and real-time images are performed in four sub-threads. Aiming for the online mode, a sub-thread to update the data is designed. The CUSUM-MLP algorithm is packed as a sub-thread for event detection and load identification. Based on the proposed multi-threaded mechanism embedded with the CUSUM-MLP algorithm, the NILM online recognition system is verified through experiments, and shows high accuracy, good robustness and real-time performance.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多线程CUSUM-MLP算法的在线非侵入式负载识别系统研究
非侵入式负荷监测(NILM)得到了广泛的推广和发展,使得负荷的在线识别成为研究的热点。提出了一种基于多线程累积求和多层感知机(CUSUM-MLP)事件检测与识别算法的NILM在线识别系统框架。它包含一个主线程和六个子线程,并结合信号和插槽机制来完成在线识别任务。数据接收、数据打包和特征提取在主线程中完成。实时数据表示、数据存储、特征存储和实时图像在四个子线程中完成。针对在线模式,设计了一个子线程来更新数据。CUSUM-MLP算法被打包为一个子线程,用于事件检测和负载识别。基于所提出的嵌入CUSUM-MLP算法的多线程机制,对NILM在线识别系统进行了实验验证,显示出较高的准确率、较好的鲁棒性和实时性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Evaluation of low cost sealing methods to protect sustainable printed temperature sensors against degradation due to UV irradiation A Wearable, Multiplexed Sensor for Real-time and In-situ Monitoring of Wound Biomarkers Pulsed UV-irradiated Graphene Sensors for Ethanol Detection at Room Temperature Live Demonstration: Double SLERP Gravity-Magnetic Vector (GMV-D) orientation correction in a MARG sensor Characteristics of hetero-core optical fiber hydrogen sensor based on Au/WO3/Pt thin film
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1