用于大气表征的大规模可部署、低成本机载传感器

Michael Bolt, J. Prather, T. Horton, M. Adams
{"title":"用于大气表征的大规模可部署、低成本机载传感器","authors":"Michael Bolt, J. Prather, T. Horton, M. Adams","doi":"10.4236/wsn.2020.121001","DOIUrl":null,"url":null,"abstract":"A \nlow-cost airborne sensor mote has been designed for deployment en masse to \ncharacterize atmospheric conditions. The designed environmental sensing mote, \nor eMote, was inspired by the natural shape of auto-rotating maple seeds to \nfall slowly and gather data along its descent. The eMotes measure and transmit \ntemperature, air pressure, relative humidity, and wind speed estimates \nalongside GPS coordinates and timestamps. Up to 2080 eMotes can be deployed \nsimultaneously with a 1 Hz sampling rate, but the system capacity increases by \n2600 eMotes for every second added between samples. All measured and reported \ndata falls within accuracy requirements for reporting with both the World \nMeteorological Organization (WMO) and the National Oceanic and Atmospheric Administration (NOAA). This paper presents the \ndesign and validation of the eMote system alongside discussions on the \nimplementation of a large-scale, low-cost sensor network. The eMote represents unprecedented in-situ atmospheric measurement \ncapabilities with the ability to deploy more than 260 times the number of \nsensing units as the most comparable commercially available dropsonde.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":"12 1","pages":"1-11"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Massively Deployable, Low-Cost Airborne Sensor Motes for Atmospheric Characterization\",\"authors\":\"Michael Bolt, J. Prather, T. Horton, M. Adams\",\"doi\":\"10.4236/wsn.2020.121001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A \\nlow-cost airborne sensor mote has been designed for deployment en masse to \\ncharacterize atmospheric conditions. The designed environmental sensing mote, \\nor eMote, was inspired by the natural shape of auto-rotating maple seeds to \\nfall slowly and gather data along its descent. The eMotes measure and transmit \\ntemperature, air pressure, relative humidity, and wind speed estimates \\nalongside GPS coordinates and timestamps. Up to 2080 eMotes can be deployed \\nsimultaneously with a 1 Hz sampling rate, but the system capacity increases by \\n2600 eMotes for every second added between samples. All measured and reported \\ndata falls within accuracy requirements for reporting with both the World \\nMeteorological Organization (WMO) and the National Oceanic and Atmospheric Administration (NOAA). This paper presents the \\ndesign and validation of the eMote system alongside discussions on the \\nimplementation of a large-scale, low-cost sensor network. The eMote represents unprecedented in-situ atmospheric measurement \\ncapabilities with the ability to deploy more than 260 times the number of \\nsensing units as the most comparable commercially available dropsonde.\",\"PeriodicalId\":58712,\"journal\":{\"name\":\"无线传感网络(英文)\",\"volume\":\"12 1\",\"pages\":\"1-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"无线传感网络(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.4236/wsn.2020.121001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"无线传感网络(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/wsn.2020.121001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

设计了一种低成本的机载遥感器,用于大规模部署,以表征大气条件。设计的环境感应尘埃,或称eMote,灵感来自自动旋转的枫树种子的自然形状,它可以缓慢下落并在下降过程中收集数据。eMotes测量并传输温度、气压、相对湿度和风速估计值以及GPS坐标和时间戳。最多2080个eMotes可以以1 Hz的采样率同时部署,但在采样之间每增加一秒,系统容量就会增加2600个eMote。所有测量和报告的数据都符合向世界气象组织(WMO)和国家海洋和大气管理局(NOAA)报告的准确性要求。本文介绍了eMote系统的设计和验证,并讨论了大规模、低成本传感器网络的实现。eMote代表了前所未有的现场大气测量能力,能够部署超过260倍数量的传感单元,是最具可比性的商用探空仪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Massively Deployable, Low-Cost Airborne Sensor Motes for Atmospheric Characterization
A low-cost airborne sensor mote has been designed for deployment en masse to characterize atmospheric conditions. The designed environmental sensing mote, or eMote, was inspired by the natural shape of auto-rotating maple seeds to fall slowly and gather data along its descent. The eMotes measure and transmit temperature, air pressure, relative humidity, and wind speed estimates alongside GPS coordinates and timestamps. Up to 2080 eMotes can be deployed simultaneously with a 1 Hz sampling rate, but the system capacity increases by 2600 eMotes for every second added between samples. All measured and reported data falls within accuracy requirements for reporting with both the World Meteorological Organization (WMO) and the National Oceanic and Atmospheric Administration (NOAA). This paper presents the design and validation of the eMote system alongside discussions on the implementation of a large-scale, low-cost sensor network. The eMote represents unprecedented in-situ atmospheric measurement capabilities with the ability to deploy more than 260 times the number of sensing units as the most comparable commercially available dropsonde.
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
279
×
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