Fuzzy logic control mechanism for flash flood monitoring station

Supamit Jankoo, P. Champrasert, Benya Suntaranont
{"title":"Fuzzy logic control mechanism for flash flood monitoring station","authors":"Supamit Jankoo, P. Champrasert, Benya Suntaranont","doi":"10.1109/SAS.2014.6798974","DOIUrl":null,"url":null,"abstract":"This paper proposes an adaptable flash flood monitoring station, called (MixKey). MixKeys have been designed, implemented, and installed on the target area. In order to efficiently operate under the real environmental conditions, fuzzy logic control mechanism has been applied to the design. This makes MixKey to automatically adapt its operation parameters (e.g., data transmission rate and electric power source) against the environmental condition changes. The results show that the fuzzy logic control mechanism contributes to reduce the RMS Error of the sensing data to the real-time environmental data with efficient battery consumption.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2014.6798974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

This paper proposes an adaptable flash flood monitoring station, called (MixKey). MixKeys have been designed, implemented, and installed on the target area. In order to efficiently operate under the real environmental conditions, fuzzy logic control mechanism has been applied to the design. This makes MixKey to automatically adapt its operation parameters (e.g., data transmission rate and electric power source) against the environmental condition changes. The results show that the fuzzy logic control mechanism contributes to reduce the RMS Error of the sensing data to the real-time environmental data with efficient battery consumption.
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
山洪监测站模糊逻辑控制机构
本文提出了一种适应性强的山洪监测站MixKey。MixKeys已经被设计、实现并安装在目标区域上。为了在真实环境条件下高效运行,在设计中采用了模糊逻辑控制机制。这使得MixKey能够根据环境条件的变化自动调整其运行参数(例如,数据传输速率和电源)。结果表明,模糊逻辑控制机制有助于降低传感数据对实时环境数据的均方根误差,同时降低电池消耗。
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
Low-power wireless interface for handheld smart metering devices PointsBug versus TangentBug algorithm, a performance comparison in unknown static environment RFID coordinate registration for agricultural process sensing Standard Uncertainty estimation on polynomial regression models Design and simulation of a Micro Hotplate for MEMS based integrated gas sensing system
×
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