Development of Quadcopter for Atmospheric Data Collection

W. Suparta, Trie Handayani
{"title":"Development of Quadcopter for Atmospheric Data Collection","authors":"W. Suparta, Trie Handayani","doi":"10.20895/infotel.v14i1.727","DOIUrl":null,"url":null,"abstract":"This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P, BME280 sensors, and several modules (DS3231 Real-Time Clock (RTC),  micro SD card, and 16×2 LCD). Our vehicle with a total weight of 1 kg can fly into space and maneuver to an altitude of more than 200 meters in an average of 10 minutes. Atmospheric conditions such as air temperature, relative humidity, air pressure, altitude, and precipitable water vapor can be measured and logged properly from drones. By this development, the system can be applied in the future to detect or measure weather extremes, air pollution, or monitoring aerial topography automatically when equipped with gas sensors and cameras, respectively.","PeriodicalId":30672,"journal":{"name":"Jurnal Infotel","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Infotel","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20895/infotel.v14i1.727","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

This research aims to develop a quadrotor system as unmanned aircraft vehicles (UAVs, or drones) for monitoring atmospheric conditions in a targeted area. The system consists of an APM 2.8 arducopter flight controller, Ublox NEO M8N GPS module with compass, Racerstar 920kV 2-4S Brushless Motor, Flysky Receiver FS-iA6B with FS-i6 Remote Control Transmitter, DJI F450 quadcopter frame kits with tall landing gear skid, and a LiPo Battery 3300 mAh 35C. The system is set up and run through a Mission Planner. As for monitoring atmospheric conditions, the system consists of an Arduino Uno ATmega328P, BME280 sensors, and several modules (DS3231 Real-Time Clock (RTC),  micro SD card, and 16×2 LCD). Our vehicle with a total weight of 1 kg can fly into space and maneuver to an altitude of more than 200 meters in an average of 10 minutes. Atmospheric conditions such as air temperature, relative humidity, air pressure, altitude, and precipitable water vapor can be measured and logged properly from drones. By this development, the system can be applied in the future to detect or measure weather extremes, air pollution, or monitoring aerial topography automatically when equipped with gas sensors and cameras, respectively.
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
大气数据采集四轴飞行器的研制
这项研究旨在开发一种四旋翼系统,作为无人飞行器(UAV或无人机),用于监测目标区域的大气条件。该系统由APM 2.8 arducopter飞行控制器、带指南针的Ublox NEO M8N GPS模块、Racerstar 920kV 2-4S无刷电机、带FS-i6遥控发射器的Flysky接收器FS-iA6B、带高起落架滑轨的DJI F450四旋翼机机架套件和3300毫安时35C锂电池组成。该系统是通过任务规划器设置和运行的。在监测大气条件方面,该系统由Arduino Uno ATmega328P、BME280传感器和几个模块(DS3231实时时钟(RTC)、微型SD卡和16×2 LCD)组成。我们的飞行器总重量为1公斤,可以在平均10分钟内飞入太空并机动到200米以上的高度。无人机可以正确测量和记录大气条件,如气温、相对湿度、气压、海拔高度和可降水蒸汽。通过这一发展,该系统可以在未来应用于检测或测量极端天气、空气污染,或在分别配备气体传感器和摄像头时自动监测空中地形。
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
47
审稿时长
6 weeks
期刊最新文献
Geo-Navigation in Museums: Augmented Reality Application in the Geological Museum Indonesia Cloud-based Metabase GIS Data Analysis Platform Quality Management According to ISO 9126 Indicators Solar Panel Power Generator with Automatic Charging using PWM System based on Microcontroller Weighted Voting Ensemble Learning of CNN Architectures for Diabetic Retinopathy Classification An Evaluation of Wireless Network Security with Penetration Testing Method at PT PLN UP2D S2JB
×
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