Hans Fleischmann, Johannes Kohl, J. Franke, A. Reidt, Markus Duchon, H. Krcmar
{"title":"Improving maintenance processes with distributed monitoring systems","authors":"Hans Fleischmann, Johannes Kohl, J. Franke, A. Reidt, Markus Duchon, H. Krcmar","doi":"10.1109/INDIN.2016.7819189","DOIUrl":null,"url":null,"abstract":"Industrial production systems meet strict requirements regarding availability, process control and condition monitoring. As a key enabler of Industry 4.0, cyber-physical systems form the core of a modular, web-based framework, which delivers more efficient condition monitoring mechanisms for maintenance staff in production facilities. The present approach illustrates the potential of a decentralized and centralized, distributed system by using standardized communication protocols and semantic information models. The use of web-based platforms like node.js and protocols such as OPC UA offers the ability to automate transferring information about anomalies, root causes and nominal data directly between cloud-based services and condition monitoring systems on the shop floor. To conclude, a validation is accomplished within a case study on a flexible handling unit.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2016.7819189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Industrial production systems meet strict requirements regarding availability, process control and condition monitoring. As a key enabler of Industry 4.0, cyber-physical systems form the core of a modular, web-based framework, which delivers more efficient condition monitoring mechanisms for maintenance staff in production facilities. The present approach illustrates the potential of a decentralized and centralized, distributed system by using standardized communication protocols and semantic information models. The use of web-based platforms like node.js and protocols such as OPC UA offers the ability to automate transferring information about anomalies, root causes and nominal data directly between cloud-based services and condition monitoring systems on the shop floor. To conclude, a validation is accomplished within a case study on a flexible handling unit.