Sensor based transaction temporal database architecture

Michal Kvet, K. Matiaško, Monika Vajsová
{"title":"Sensor based transaction temporal database architecture","authors":"Michal Kvet, K. Matiaško, Monika Vajsová","doi":"10.1109/WFCS.2015.7160547","DOIUrl":null,"url":null,"abstract":"Sensor data processing and managing is a fundamental requirement of industrial systems. Validity of these data is time bordered and should be stored in database. However, existing database solutions are inadequate in terms of performance - effectiveness of the whole system, which is manifested using the size of the managed data and processing time. This paper deals with the principles of extended temporal data modelling based on the attribute level, which is very useful for time-various sensor data processing. It deals with the transaction management problems and describes solutions. However, each sensor has defined measurement precision, thus only reliable data based on significant change are stored. This concept is mostly designed for industrial communication systems, sensor data processing, intelligent transport systems, but also for medical applications.","PeriodicalId":6531,"journal":{"name":"2015 IEEE World Conference on Factory Communication Systems (WFCS)","volume":"1 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE World Conference on Factory Communication Systems (WFCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WFCS.2015.7160547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Sensor data processing and managing is a fundamental requirement of industrial systems. Validity of these data is time bordered and should be stored in database. However, existing database solutions are inadequate in terms of performance - effectiveness of the whole system, which is manifested using the size of the managed data and processing time. This paper deals with the principles of extended temporal data modelling based on the attribute level, which is very useful for time-various sensor data processing. It deals with the transaction management problems and describes solutions. However, each sensor has defined measurement precision, thus only reliable data based on significant change are stored. This concept is mostly designed for industrial communication systems, sensor data processing, intelligent transport systems, but also for medical applications.
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
基于传感器的事务时态数据库体系结构
传感器数据处理和管理是工业系统的基本要求。这些数据的有效性是有时间限制的,应该存储在数据库中。然而,现有的数据库解决方案在整个系统的性能-有效性方面是不足的,这可以通过管理数据的大小和处理时间来体现。本文讨论了基于属性层次的扩展时态数据建模原理,该方法对时变传感器数据的处理非常有用。它处理事务管理问题并描述解决方案。然而,每个传感器都定义了测量精度,因此只存储基于显著变化的可靠数据。这个概念主要是为工业通信系统、传感器数据处理、智能运输系统设计的,但也用于医疗应用。
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
Scheduling transmissions in industrial networks using source relaying and packet aggregation Optimising non-real time frame handling in real time ethernet nodes ZigBee cluster tree formation for time-bounded data flows in one collision domain Scheduling feedback for scalability and reliability in a streaming multicast protocol Towards low-datarate communications for cooperative mobile robots
×
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