Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li
{"title":"An Intelligent Mass Spectrometer Vacuum Monitoring System Based on PC104","authors":"Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li","doi":"10.1109/IHMSC.2015.64","DOIUrl":null,"url":null,"abstract":"This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"48 1","pages":"149-152"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.64","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
This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.