Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case

Autor:	Hesse, Guenter, Matthies, Christoph, Sinzig, Werner, Uflacker, Matthias
Rok vydání:	2019
Předmět:	Computer Science - Databases
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-030-18590-9_80
Popis:	Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data's full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs. Comment: Accepted at International Conference on Database Systems for Advanced Applications (DASFAA 2019)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1903.06453 Zobrazit plný text záznamu View this record from Arxiv