A hybrid framework for industrial data storage and exploitation

In this paper a hybrid framework is illustrated, with a software and hardware integration strategy, for an industrial platform that exploits features from a Relational Database (RDB) and Triplestore using the blackboard architectural pattern, ensuring efficient and accurate communication concerning data transfer among software applications and devices. Specifically, "Raw Data Handler", manages unstructured data from IoT devices that are kept in an Apache Cassandra instance, while "Production Data Handler" acts on structured data, persisted in a MySQL database. Filtered data is transformed into knowledge and persisted into the Triplestore database (DB) and can be retrieved by expert systems at any time. The proposed framework will be tested and validated within Z-FactOr project. (C) 2019 The Authors. Published by Elsevier Ltd.


Published in:
52nd Cirp Conference On Manufacturing Systems (CMS), 81, 892-897
Presented at:
52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, SLOVENIA, Jun 12-14, 2019
Year:
Jan 01 2019
Publisher:
Amsterdam, Elsevier
ISSN:
2212-8271
Keywords:
Note:
This is an open access article under the CC-BY-NC-ND license.
Laboratories:


Note: The status of this file is: Anyone


 Record created 2020-09-20, last modified 2020-10-25

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