基于生物拟态的硬件数据采集初步原型

Tao Zheng, Zuyao Meng, Qing Gu, Fei Huang, M. Gidlund
{"title":"基于生物拟态的硬件数据采集初步原型","authors":"Tao Zheng, Zuyao Meng, Qing Gu, Fei Huang, M. Gidlund","doi":"10.1109/ETFA45728.2021.9613604","DOIUrl":null,"url":null,"abstract":"Fault diagnosis in Industrial Internet of Things and Cyber-Physical Systems is essential, especially for the rapidly developing 5G and coming 6G technology. Hardware working status is the basis for fault diagnosis. However, in actual engineering, accurately locating faults is not easy for hardware engineers. In this paper, a prototype based on FPGA is developed to connect with the target field device in data acquisition. This prototype aims to extract the underlying data information in a real-time and unattended manner like the mimicry of natural immunity. The preliminary experiment results from the prototype can be used to guide practice through providing real-time data support for hardware troubleshooting and spontaneous and intelligent analysis.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Preliminary Prototype Based on Biological Mimicry for Hardware Data Acquisition\",\"authors\":\"Tao Zheng, Zuyao Meng, Qing Gu, Fei Huang, M. Gidlund\",\"doi\":\"10.1109/ETFA45728.2021.9613604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fault diagnosis in Industrial Internet of Things and Cyber-Physical Systems is essential, especially for the rapidly developing 5G and coming 6G technology. Hardware working status is the basis for fault diagnosis. However, in actual engineering, accurately locating faults is not easy for hardware engineers. In this paper, a prototype based on FPGA is developed to connect with the target field device in data acquisition. This prototype aims to extract the underlying data information in a real-time and unattended manner like the mimicry of natural immunity. The preliminary experiment results from the prototype can be used to guide practice through providing real-time data support for hardware troubleshooting and spontaneous and intelligent analysis.\",\"PeriodicalId\":312498,\"journal\":{\"name\":\"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA45728.2021.9613604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA45728.2021.9613604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

工业物联网和信息物理系统的故障诊断是必不可少的,特别是对于快速发展的5G和即将到来的6G技术。硬件的工作状态是进行故障诊断的依据。但在实际工程中,硬件工程师很难准确定位故障。本文开发了一种基于FPGA的数据采集样机,用于与目标现场设备进行数据采集。该原型旨在像模仿自然免疫一样,以实时、无人值守的方式提取底层数据信息。样机的初步实验结果可为硬件故障排除和自发智能分析提供实时数据支持,指导实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Preliminary Prototype Based on Biological Mimicry for Hardware Data Acquisition
Fault diagnosis in Industrial Internet of Things and Cyber-Physical Systems is essential, especially for the rapidly developing 5G and coming 6G technology. Hardware working status is the basis for fault diagnosis. However, in actual engineering, accurately locating faults is not easy for hardware engineers. In this paper, a prototype based on FPGA is developed to connect with the target field device in data acquisition. This prototype aims to extract the underlying data information in a real-time and unattended manner like the mimicry of natural immunity. The preliminary experiment results from the prototype can be used to guide practice through providing real-time data support for hardware troubleshooting and spontaneous and intelligent analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信