Advanced monitoring of an industrial process integrating several sources of information through a data warehouse
Elma Sanz Gràcia, J. L. Matey, Joaquím Blesa, Vicenç Puig · 2017
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.