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

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 2017 Spain Publisher:IEEEJournal:2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)

Authors: Sanz, E; Matey, J.L.; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç;

doi: 10.1109/codit.2017.8102646

handle: 10261/166701 , 2117/108711

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

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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.

This work has been partially funded by the Spanish Government (MINECO) through the project CICYT ECOCIS (ref.DPI2013-48243- C2-1-R), by MINECO and FEDER through the project CICYT HARCRICS (ref.DPI2014-58104-R).

Trabajo presentado a la 4th International Conference on Control, Decision and Information Technologies (CoDIT), celebrada en Barcelona (España) del 5 al 7 de abril de 2017.

Peer Reviewed

Country

Spain

Related Organizations

Spanish National Research Council
Spain
Institute of Robotics and Industrial Informatics
Spain
Universitat Polite`cnica de Catalunya
Spain
Universitat Politècnica de Catalunya
Spain
Seat (Spain)
Spain

Keywords

Metadata, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Classificació INSPEC::Automation, metadata, Predictive Maintenance, Predictive maintenance, integration, system architecture, time dimension, Data sources, Industry 4.0, data preparation, Data warehouse, Advanced monitoring, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Data Meaning, :Automation [Classificació INSPEC], data sources, System architecture

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