S. Enyedi, I. Stefan, L. Miclea, I. Stoian, D. Capatina
{"title":"Connected visualization service in a water management system","authors":"S. Enyedi, I. Stefan, L. Miclea, I. Stoian, D. Capatina","doi":"10.1109/AQTR.2016.7501299","DOIUrl":null,"url":null,"abstract":"Large scale water management systems have both high dynamics and low dynamics parts. The “slow” data, comprising logs and long-term predictions, is not time-critical, and so it can be stored and put through data analytics or other processing, when there is time for it. The quick control, however, is managed by automated SCADA routines, which generate near real-time data, and quite a lot of it. The visualization of the slow and quick data should be done accurately and in a timely manner, including new data which is created/stored during the visualization. This work proposes a fast, synchronous solution to getting the data from the SCADA system, through the visualization gateway, to the client's viewer, and updating it automatically, when necessary. Access is role based, with proper credential management. The communication is encrypted and based on open standards, so that further clients and server modules may be developed.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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.2016.7501299","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
Large scale water management systems have both high dynamics and low dynamics parts. The “slow” data, comprising logs and long-term predictions, is not time-critical, and so it can be stored and put through data analytics or other processing, when there is time for it. The quick control, however, is managed by automated SCADA routines, which generate near real-time data, and quite a lot of it. The visualization of the slow and quick data should be done accurately and in a timely manner, including new data which is created/stored during the visualization. This work proposes a fast, synchronous solution to getting the data from the SCADA system, through the visualization gateway, to the client's viewer, and updating it automatically, when necessary. Access is role based, with proper credential management. The communication is encrypted and based on open standards, so that further clients and server modules may be developed.