{"title":"Open Cognitive Control System Architecture","authors":"Z. Manjiyani, C. Iatrou, Markus Graube, L. Urbas","doi":"10.1109/ETFA.2019.8869439","DOIUrl":null,"url":null,"abstract":"In recent years, the automation industry is moving towards Industry 4.0 and cyber-physical systems. There is an increasing demand for smarter plants and plant modules. In this paper, we are proposing an architecture for the open cognitive control system. This will provide the benefits of a control strategy based on the data analysis. With the possibility to connect with the cloud, this will enable easy updates and exchange of task modules that would ensure the system to keep up with the technological advancements. This will also improve the accuracy and lifetime of the automation system. To meet the requirements of flexibility, speed and reliability of the system, the architecture has been based on distributed and concurrent systems design. A detailed description of the architecture along with its challenges have been presented in this paper. A comparison of different implementation techniques for certain blocks has also been discussed.","PeriodicalId":6682,"journal":{"name":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"389 1","pages":"1673-1677"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2019.8869439","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
In recent years, the automation industry is moving towards Industry 4.0 and cyber-physical systems. There is an increasing demand for smarter plants and plant modules. In this paper, we are proposing an architecture for the open cognitive control system. This will provide the benefits of a control strategy based on the data analysis. With the possibility to connect with the cloud, this will enable easy updates and exchange of task modules that would ensure the system to keep up with the technological advancements. This will also improve the accuracy and lifetime of the automation system. To meet the requirements of flexibility, speed and reliability of the system, the architecture has been based on distributed and concurrent systems design. A detailed description of the architecture along with its challenges have been presented in this paper. A comparison of different implementation techniques for certain blocks has also been discussed.