C. Alexakos, C. Anagnostopoulos, A. Fournaris, C. Koulamas, A. Kalogeras
{"title":"IoT Integration for Adaptive Manufacturing","authors":"C. Alexakos, C. Anagnostopoulos, A. Fournaris, C. Koulamas, A. Kalogeras","doi":"10.1109/ISORC.2018.00030","DOIUrl":null,"url":null,"abstract":"The Industrial Internet of Things (IIoT) has emerged as a concept for the integration of the Internet of Things (IoT) in the industrial domain, posing a variety of challenges and emphasizing among others in interoperability and integration aspects with Shop Floor and Plant layer systems. Present work builds on top of previous work related to the integration of the different systems in the manufacturing environment automation pyramid. This classical hierarchy involves three layers: the Enterprise Resource Planning (ERP), the Manufacturing Execution System (MES) and the Shop Floor. A further issue is relevant to the semantic integration of IoT sensors with manufacturing systems. The present paper presents a complex system architecture which allows both the aggregation of data generated by IIoT devices, and the automated reaction of the manufacturing environment to either detected and diagnosed, or predicted events based on this data.","PeriodicalId":395536,"journal":{"name":"2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 21st International Symposium on Real-Time Distributed Computing (ISORC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC.2018.00030","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 Industrial Internet of Things (IIoT) has emerged as a concept for the integration of the Internet of Things (IoT) in the industrial domain, posing a variety of challenges and emphasizing among others in interoperability and integration aspects with Shop Floor and Plant layer systems. Present work builds on top of previous work related to the integration of the different systems in the manufacturing environment automation pyramid. This classical hierarchy involves three layers: the Enterprise Resource Planning (ERP), the Manufacturing Execution System (MES) and the Shop Floor. A further issue is relevant to the semantic integration of IoT sensors with manufacturing systems. The present paper presents a complex system architecture which allows both the aggregation of data generated by IIoT devices, and the automated reaction of the manufacturing environment to either detected and diagnosed, or predicted events based on this data.