{"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.