{"title":"Test of the Industrial Internet of Things: Opening the Black Box","authors":"Frank‐Walter Jaekel, J. Torka","doi":"10.1002/9781119564034.CH2","DOIUrl":"https://doi.org/10.1002/9781119564034.CH2","url":null,"abstract":"","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128151845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Aivaliotis, K. Georgoulias, R. Ricatto, M. Surico
{"title":"Predictive Maintenance Framework: Implementation of Local and Cloud Processing for Multi-stage Prediction of CNC Machines' Health","authors":"P. Aivaliotis, K. Georgoulias, R. Ricatto, M. Surico","doi":"10.1002/9781119564034.CH31","DOIUrl":"https://doi.org/10.1002/9781119564034.CH31","url":null,"abstract":"1.1. Abstract This paper presents a predictive maintenance framework for CNC machines focusing on a multi-stage prediction of machines’ health status. For the implementation of such a multi-stage prediction, the proposed approach includes two prediction layers: the cloud prediction layer and the local prediction layer. Each layer provides a prediction of machine health status in different timescale. The local prediction layer, based on data analysis techniques, is responsible to predict the health status of the machine for a short time period. Thus, this prediction can be used as an alarm aiming to prevent un-expected breakdowns. The cloud prediction layer, based on digital physical-based models, is responsible to provide a more general overview of machine health status using Prognostics and Health Management (PHM) techniques, useful for long timespan strategies definition. This paper presents the proposed approach and its benefits are described and discussed. The proposed approach will be implemented in the PROGRAMS project.","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127499598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Makris, N. Nikolakis, Konstantinos Dimoulas, A. Papavasileiou, M. Ippolito
{"title":"SERENA: Versatile Plug-and-Play Platform Enabling Remote Predictive Maintenance","authors":"S. Makris, N. Nikolakis, Konstantinos Dimoulas, A. Papavasileiou, M. Ippolito","doi":"10.1002/9781119564034.CH34","DOIUrl":"https://doi.org/10.1002/9781119564034.CH34","url":null,"abstract":"Modern technology in the context of Industry 4.0, including sensors and embedded systems, data analytics and advanced networking, are key enabling technologies towards minimizing downtime of the production system. Empowered by the aforementioned, this study discusses a conceptual framework of a predictive maintenance approach based on equipment condition-based modeling and evaluation, as a step towards reducing breakdowns as well as the overall maintenance costs, through a more efficient time scheduling of the maintenance operations.","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128569107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedro Corista, João Gião, João Sarraipa, Oscar García Perales, Raquel Almeida, N. Moalla
{"title":"Enablers Framework: Developing Applications Using FIWARE","authors":"Pedro Corista, João Gião, João Sarraipa, Oscar García Perales, Raquel Almeida, N. Moalla","doi":"10.1002/9781119564034.CH10","DOIUrl":"https://doi.org/10.1002/9781119564034.CH10","url":null,"abstract":"","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127121763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Moritz von Stietencron, Bjørnar Henriksen, C. Røstad, K. Hribernik, K. Thoben
{"title":"Evaluation of Industry 4.0 Technology - Applications","authors":"Moritz von Stietencron, Bjørnar Henriksen, C. Røstad, K. Hribernik, K. Thoben","doi":"10.1002/9781119564034.CH38","DOIUrl":"https://doi.org/10.1002/9781119564034.CH38","url":null,"abstract":"","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121508776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Providing the Flexibility of the Shop Floor to Information Systems for Monitoring Tasks","authors":"Alexander Dennert","doi":"10.1002/9781119564034.CH54","DOIUrl":"https://doi.org/10.1002/9781119564034.CH54","url":null,"abstract":"","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114894985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Part 10 Summary: Interoperability for Crisis Management: Increasing Resilience of Smart Cities","authors":"Antonio De Nicola, F. Bénaben","doi":"10.1002/9781119564034.PART10","DOIUrl":"https://doi.org/10.1002/9781119564034.PART10","url":null,"abstract":"","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114928173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prince Mayurank Singh, M. V. Sinderen, R. Wieringa
{"title":"SmTIP: A Big Data Integration Platform for Synchromodal Transport","authors":"Prince Mayurank Singh, M. V. Sinderen, R. Wieringa","doi":"10.1002/9781119564034.ch23","DOIUrl":"https://doi.org/10.1002/9781119564034.ch23","url":null,"abstract":"This chapter reports on the design of an interaction platform that supports the collection and analysis of third-party, real-time data for the dynamic planning of cargo transportation. Especially, flexible allocation of cargo to transplantation modes and routes is targeted, also known as synchromodal transportation. A prototype of the integration platform was developed, including a user interface for planners, to support them in decision-making by providing information about potential disruptions of planned or ongoing shipments. Potential disruptions are detected by analysis of data received from one or more live data sources.","PeriodicalId":423825,"journal":{"name":"Enterprise Interoperability","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116982900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}