N. Stroia, D. Moga, E. Vitan, G. Cosovici, Corneliu Lungoci, I. Kovacs, M. Mircea
{"title":"Internet based SCADA platform for monitoring strategic hydrotechnical structures","authors":"N. Stroia, D. Moga, E. Vitan, G. Cosovici, Corneliu Lungoci, I. Kovacs, M. Mircea","doi":"10.1109/AQTR.2016.7501397","DOIUrl":null,"url":null,"abstract":"This paper presents an Internet based SCADA platform for monitoring the structures of a hydropower plant. The remote monitoring system communicates through TCP/IP sockets with the embedded gateway module interfacing the sensor network, facilitating configuration of the sensors, acquisition and archiving of the measurements, visualization of the data in real-time or of the archived data, as well as alarming and alarm history. Standard formats such as XML, SMIL, CSV are used for data representation allowing easy import of the data in database/data analysis applications.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AQTR.2016.7501397","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 paper presents an Internet based SCADA platform for monitoring the structures of a hydropower plant. The remote monitoring system communicates through TCP/IP sockets with the embedded gateway module interfacing the sensor network, facilitating configuration of the sensors, acquisition and archiving of the measurements, visualization of the data in real-time or of the archived data, as well as alarming and alarm history. Standard formats such as XML, SMIL, CSV are used for data representation allowing easy import of the data in database/data analysis applications.