Smart Dashboard Design and Water Sensor Integration Architecture by Applying Internet of Things (IoT) Technology Using Data Analysis and Prediction Methods

Furqan Maulana, Hanif Fakhrurroja, M. Lubis
{"title":"Smart Dashboard Design and Water Sensor Integration Architecture by Applying Internet of Things (IoT) Technology Using Data Analysis and Prediction Methods","authors":"Furqan Maulana, Hanif Fakhrurroja, M. Lubis","doi":"10.1109/ICADEIS56544.2022.10037490","DOIUrl":null,"url":null,"abstract":"Water availability in some countries is dwindling owing to increased industrialization and global warming. One of these problems impacts the fisheries sector, namely the cultivation of Australian Red Claw Crayfish, which uses a freshwater environment. There are several problems in this sector, including the absence of a tool to measure the four components that must be calculated Power of Hydrogen (pH), Dissolved Oxygen (DO), Water Temperature, and Conductivity. This problem has been going on for a long time. It requires technology to measure these four components' water stability-one of the technologies that can be used in implementing Internet of Things (IoT) technology. IoT is an alternative to measure the value of the four main focus components using sensors placed in aquaculture ponds from Australian Red Cray Crayfish. all parts of the sensor must be integrated using technology in the form of a wireless connection, and monitoring can be carried out for analysis and prediction needs of water stability. This project seeks to give a design for a smart dashboard and architecture for sensor creation using the IoT platform. This research has revealed the specifics of the architecture being created. It can present and interpret sensor data, thereby providing data that smart aquaculture farmers may use to monitor water quality in crayfish ponds.","PeriodicalId":252622,"journal":{"name":"2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADEIS56544.2022.10037490","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

Water availability in some countries is dwindling owing to increased industrialization and global warming. One of these problems impacts the fisheries sector, namely the cultivation of Australian Red Claw Crayfish, which uses a freshwater environment. There are several problems in this sector, including the absence of a tool to measure the four components that must be calculated Power of Hydrogen (pH), Dissolved Oxygen (DO), Water Temperature, and Conductivity. This problem has been going on for a long time. It requires technology to measure these four components' water stability-one of the technologies that can be used in implementing Internet of Things (IoT) technology. IoT is an alternative to measure the value of the four main focus components using sensors placed in aquaculture ponds from Australian Red Cray Crayfish. all parts of the sensor must be integrated using technology in the form of a wireless connection, and monitoring can be carried out for analysis and prediction needs of water stability. This project seeks to give a design for a smart dashboard and architecture for sensor creation using the IoT platform. This research has revealed the specifics of the architecture being created. It can present and interpret sensor data, thereby providing data that smart aquaculture farmers may use to monitor water quality in crayfish ponds.
基于数据分析和预测方法的物联网技术的智能仪表板设计和水传感器集成架构
由于工业化程度的提高和全球变暖,一些国家的可用水资源正在减少。其中一个问题影响了渔业部门,即澳大利亚红爪小龙虾的养殖,它使用淡水环境。该领域存在几个问题,包括缺乏测量必须计算氢功率(pH)、溶解氧(DO)、水温和电导率的四种成分的工具。这个问题已经存在很长时间了。它需要技术来测量这四个组成部分的水稳定性,这是可用于实施物联网(IoT)技术的技术之一。物联网是测量四个主要焦点组件价值的替代方案,使用放置在澳大利亚红螯虾养殖池塘中的传感器。传感器的各个部分必须以无线连接的形式采用技术集成,并可进行监测,以满足水稳定性的分析和预测需求。该项目旨在为使用物联网平台创建传感器的智能仪表板和架构提供设计。这项研究揭示了正在创建的体系结构的细节。它可以呈现和解释传感器数据,从而为聪明的水产养殖户提供数据,用于监测小龙虾池塘的水质。
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 求助全文
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