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
Authors
-
Sanz Gràcia, Elma
-
Matey, Jose Luis
-
Blesa Izquierdo, Joaquim
-
Puig Cayuela, Vicenç
Projects associated
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.
Follow us!