Publication

Advanced monitoring of an industrial process integrating several sources of information through a data warehouse

Conference Article

Conference

International Conference on Control, Decision and Information Technologies (CoDIT)

Edition

4th

Pages

521-526

Doc link

https://doi.org/10.1109/CoDIT.2017.8102646

File

Download the digital copy of the doc pdf document

Abstract

This paper presents a methodology and architecture for the advanced monitoring of an industrial process integrating several sources of information using a data warehouse (DW) that include as metadata datamart to cross technical ubications and equipments with the information given by the existing monitoring systems and the time dimension. The advanced monitoring includes functionalities that allow to diagnose faulty components and to prognose faulty situations when a problem occurs in the production process. A real car painting process is used for illustration purposes.

Categories

automation.

Author keywords

Advanced monitoring, Industry 4.0, Predictive Maintenance, system architecture, metadata, data sources, integration,Data Meaning, Data warehouse, data preparation, time dimension

Scientific reference

E. Sanz, J.L. Matey, J. Blesa and V. Puig. Advanced monitoring of an industrial process integrating several sources of information through a data warehouse, 4th International Conference on Control, Decision and Information Technologies, 2017, Barcelona, pp. 521-526.