C. Alexakos, Andreas Komninos, C. Anagnostopoulos, G. Kalogeras, A. Kalogeras
{"title":"IoT Integration in the Manufacturing Environment Towards Industry 4.0 Applications","authors":"C. Alexakos, Andreas Komninos, C. Anagnostopoulos, G. Kalogeras, A. Kalogeras","doi":"10.1109/INDIN45582.2020.9442161","DOIUrl":null,"url":null,"abstract":"The manufacturing environment undergoes a disruptive evolution due to the Fourth Industrial Revolution driven by the Industrial Internet of Things and Cyber Physical Systems technologies. This evolution is applicable to further sectors comprising similar requirements, involving large numbers of devices that need to interoperate, exchange their data and be controlled. Integration at the manufacturing environment remains a challenge taking into account the diversity of equipment / devices, the existence of legacy systems, and the need to integrate IoT devices participating in the production paradigm. This paper presents an AutomationML based approach for this integration, modeling the industrial manufacturing environment, and enabling its emulation through a 3D Virtual Environment.","PeriodicalId":185948,"journal":{"name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN45582.2020.9442161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The manufacturing environment undergoes a disruptive evolution due to the Fourth Industrial Revolution driven by the Industrial Internet of Things and Cyber Physical Systems technologies. This evolution is applicable to further sectors comprising similar requirements, involving large numbers of devices that need to interoperate, exchange their data and be controlled. Integration at the manufacturing environment remains a challenge taking into account the diversity of equipment / devices, the existence of legacy systems, and the need to integrate IoT devices participating in the production paradigm. This paper presents an AutomationML based approach for this integration, modeling the industrial manufacturing environment, and enabling its emulation through a 3D Virtual Environment.