{"title":"Event-Driven Production Control based on Sensor Events","authors":"Sebastian Kropp, G. Schuh","doi":"10.1109/SMARTSYSTECH.2014.7156031","DOIUrl":null,"url":null,"abstract":"Identification and prompt reaction of unforeseen events are becoming increasingly important for companies. The event-driven architecture therefor provides the informational solution for a smoothly integration of sensor events in the existing IT infrastructure. An exact specification of the events to be processed is essential. In this article a procedure for building an event model for production control and the basic properties of the model will be presented. In a higher abstraction layer those are the control variables of production control. On a lower level status data of production for real-time feedback is delivered by basic sensor-events and machine data logging.","PeriodicalId":309593,"journal":{"name":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMARTSYSTECH.2014.7156031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Identification and prompt reaction of unforeseen events are becoming increasingly important for companies. The event-driven architecture therefor provides the informational solution for a smoothly integration of sensor events in the existing IT infrastructure. An exact specification of the events to be processed is essential. In this article a procedure for building an event model for production control and the basic properties of the model will be presented. In a higher abstraction layer those are the control variables of production control. On a lower level status data of production for real-time feedback is delivered by basic sensor-events and machine data logging.