具有反射器控制的光控智能农场监控系统

Jaekuk Choi, Dongsun Lim, Sangwon Choi, Jeonghyeon Kim, Jong-Heon Kim
{"title":"具有反射器控制的光控智能农场监控系统","authors":"Jaekuk Choi, Dongsun Lim, Sangwon Choi, Jeonghyeon Kim, Jong-Heon Kim","doi":"10.23919/ICCAS50221.2020.9268238","DOIUrl":null,"url":null,"abstract":"This paper is on the implementation of a system that monitors and controls a smart farm using Arduino and DC motors. Light control in traditional smart farms uses artificial light such as LED lights to control brightness. However, this traditional method has high maintenance cost for continuously turning on artificial light. In this paper, we develop a system to control the amount of light inflow using the angle control of the reflector. Also, we monitor environmental information such as temperature, humidity, carbon dioxide(Co2), and light value for the optimum smart farm environment. The temperature is controlled using the ventilator and heater. Also, environmental data can be uploaded to the server in real-time to check the accumulated data on a chart, and we accumulate the optimal reflector angle data for more than one year. Since solar motion repeats every year, we can control the reflector according to this accumulated data. This system has been implemented as a server and mobile application that provides various sensors for environmental control, Arduino, Wemos for Wifi server upload, and a monitoring UI.","PeriodicalId":6732,"journal":{"name":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","volume":"59 1","pages":"69-74"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Light Control Smart Farm Monitoring System with Reflector Control\",\"authors\":\"Jaekuk Choi, Dongsun Lim, Sangwon Choi, Jeonghyeon Kim, Jong-Heon Kim\",\"doi\":\"10.23919/ICCAS50221.2020.9268238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is on the implementation of a system that monitors and controls a smart farm using Arduino and DC motors. Light control in traditional smart farms uses artificial light such as LED lights to control brightness. However, this traditional method has high maintenance cost for continuously turning on artificial light. In this paper, we develop a system to control the amount of light inflow using the angle control of the reflector. Also, we monitor environmental information such as temperature, humidity, carbon dioxide(Co2), and light value for the optimum smart farm environment. The temperature is controlled using the ventilator and heater. Also, environmental data can be uploaded to the server in real-time to check the accumulated data on a chart, and we accumulate the optimal reflector angle data for more than one year. Since solar motion repeats every year, we can control the reflector according to this accumulated data. This system has been implemented as a server and mobile application that provides various sensors for environmental control, Arduino, Wemos for Wifi server upload, and a monitoring UI.\",\"PeriodicalId\":6732,\"journal\":{\"name\":\"2020 20th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"59 1\",\"pages\":\"69-74\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 20th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICCAS50221.2020.9268238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICCAS50221.2020.9268238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文介绍了一种基于Arduino和直流电机的智能农场监控系统的实现。传统智能农场的灯光控制使用LED灯等人造光来控制亮度。然而,这种传统的方法由于需要连续打开人工光源,维护成本高。在本文中,我们开发了一个系统来控制入射光的角度控制反射器。此外,我们还监测环境信息,如温度、湿度、二氧化碳(Co2)和光值,以实现最佳的智能农场环境。温度由通风机和加热器控制。同时,环境数据可以实时上传到服务器,在图表上查看累积的数据,我们积累了一年以上的最佳反射角数据。由于太阳运动每年都是重复的,我们可以根据这些累积的数据来控制反射器。该系统作为服务器和移动应用程序实现,提供各种用于环境控制的传感器,Arduino,用于Wifi服务器上传的Wemos以及监控UI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Light Control Smart Farm Monitoring System with Reflector Control
This paper is on the implementation of a system that monitors and controls a smart farm using Arduino and DC motors. Light control in traditional smart farms uses artificial light such as LED lights to control brightness. However, this traditional method has high maintenance cost for continuously turning on artificial light. In this paper, we develop a system to control the amount of light inflow using the angle control of the reflector. Also, we monitor environmental information such as temperature, humidity, carbon dioxide(Co2), and light value for the optimum smart farm environment. The temperature is controlled using the ventilator and heater. Also, environmental data can be uploaded to the server in real-time to check the accumulated data on a chart, and we accumulate the optimal reflector angle data for more than one year. Since solar motion repeats every year, we can control the reflector according to this accumulated data. This system has been implemented as a server and mobile application that provides various sensors for environmental control, Arduino, Wemos for Wifi server upload, and a monitoring UI.
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
0
期刊最新文献
Real-time quadrotor actuator fault detection and isolation using multivariate statistical analysis techniques with sensor measurements Autonomous docking of an Unmanned Surface Vehicle based on Reachability Analysis Clutch Torque Estimation of Ball-ramp Dual Clutch Transmission using Higher Order Disturbance Observer Robust Traffic Light Detection and Classification Under Day and Night Conditions Visual Surveillance using Deep Reinforcement Learning
×
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