Intelligent Ventilation Management System of Laboratory Based on Fuzzy Logic

Wei Zhou, Ziqi Zeng, Shijie Bao
{"title":"Intelligent Ventilation Management System of Laboratory Based on Fuzzy Logic","authors":"Wei Zhou, Ziqi Zeng, Shijie Bao","doi":"10.1109/ICCAR57134.2023.10151720","DOIUrl":null,"url":null,"abstract":"During the period of regular epidemic prevention, reasonable ventilation management can reduce the probability of virus infection. In the paper, the STM32F429 microcontroller is used as the control center of the whole system, and the AP6181 chip is used to obtain the local weather conditions of the network API, and a screw-based window switch actuator is designed. To comprehensively consider the ventilation requirements and the human comfort which influenced by temperature and humidity, the fuzzy logic algorithm is used to make control strategies, and the system can also be remotely controlled through new designed mobile APP, which realizes the intelligent management of the laboratory ventilation system. In this paper, the simulated windows are tested. The results show that the communication success rate of the system is 96%, and the movement error of the actuator is 5mm, which can meet the requirements of laboratory ventilation system.","PeriodicalId":347150,"journal":{"name":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Control, Automation and Robotics (ICCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR57134.2023.10151720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

During the period of regular epidemic prevention, reasonable ventilation management can reduce the probability of virus infection. In the paper, the STM32F429 microcontroller is used as the control center of the whole system, and the AP6181 chip is used to obtain the local weather conditions of the network API, and a screw-based window switch actuator is designed. To comprehensively consider the ventilation requirements and the human comfort which influenced by temperature and humidity, the fuzzy logic algorithm is used to make control strategies, and the system can also be remotely controlled through new designed mobile APP, which realizes the intelligent management of the laboratory ventilation system. In this paper, the simulated windows are tested. The results show that the communication success rate of the system is 96%, and the movement error of the actuator is 5mm, which can meet the requirements of laboratory ventilation system.
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
基于模糊逻辑的实验室智能通风管理系统
在定期防疫期间,合理的通风管理可以降低病毒感染的概率。本文采用STM32F429单片机作为整个系统的控制中心,采用AP6181芯片获取当地天气情况的网络API,并设计了一种基于螺旋的窗口开关执行器。综合考虑温湿度对通风要求和人体舒适度的影响,采用模糊逻辑算法制定控制策略,并可通过新设计的手机APP对系统进行远程控制,实现实验室通风系统的智能化管理。本文对模拟窗口进行了测试。结果表明,该系统的通信成功率为96%,执行器的运动误差为5mm,可以满足实验室通风系统的要求。
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
Optimal Power Regulating for Wind Turbine with LQR and Disturbance Accommodation Pitch Control Global Information Attention Based Dual-Pathway Network for Oxidized Slag Segmentation of Metal Ingot Images Cuckoo Search Algorithm Optimization of Holt-Winter Method for Distribution Transformer Load Forecasting Intelligent Ventilation Management System of Laboratory Based on Fuzzy Logic Contour Tracking Control of Networked Motion Control System Using Improved Equivalent-Input-Disturbance Approach
×
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