{"title":"A modular web framework for socio-CPS-based condition monitoring","authors":"Hans Fleischmann, Johannes Kohl, J. Franke","doi":"10.1109/WFCS.2016.7496509","DOIUrl":null,"url":null,"abstract":"The increasing complexity of production plants in the context of Industry 4.0 poses new challenges with regards to technical maintenance. In industrial domains, Condition Monitoring Systems (CMS) enable fault-tolerant, predictable production systems. Unfortunately, CMS development is challenging due to the distribution of computational tasks among heterogeneous industrial Internet of Things and Services (IoTS)-architectures. It is usually started from scratch, which is time-consuming and error-prone. In times of IoTS the employee as a maintenance worker, who ensures the availability of production machinery, is still important. In order to address these challenges, we propose a modular framework for web-based condition monitoring and fault diagnostics. The implementation relies on technologies such as Hypertext Markup Language 5 (HTML5), JavaScript (JS) and node.j s as well as industrial internet communication standards. Finally, verification and validation are performed in a case study on a modular robot cell for the inspection of electronic assemblies.","PeriodicalId":413770,"journal":{"name":"2016 IEEE World Conference on Factory Communication Systems (WFCS)","volume":"154 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE World Conference on Factory Communication Systems (WFCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WFCS.2016.7496509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The increasing complexity of production plants in the context of Industry 4.0 poses new challenges with regards to technical maintenance. In industrial domains, Condition Monitoring Systems (CMS) enable fault-tolerant, predictable production systems. Unfortunately, CMS development is challenging due to the distribution of computational tasks among heterogeneous industrial Internet of Things and Services (IoTS)-architectures. It is usually started from scratch, which is time-consuming and error-prone. In times of IoTS the employee as a maintenance worker, who ensures the availability of production machinery, is still important. In order to address these challenges, we propose a modular framework for web-based condition monitoring and fault diagnostics. The implementation relies on technologies such as Hypertext Markup Language 5 (HTML5), JavaScript (JS) and node.j s as well as industrial internet communication standards. Finally, verification and validation are performed in a case study on a modular robot cell for the inspection of electronic assemblies.