Advanced Monitoring of an Industrial Process integrating Several Sources of Information through a Data Warehouse

被引：0

作者：

Sanz, E. ^{[1
,2
,3
]}

Matey, J. L. ^{[1
]}

Blesa, J. ^{[3
]}

Puig, V. ^{[2
,3
]}

机构：

[1] SEAT SA, Paint Shop Maintenance, Barcelona, Spain

[2] Tech Univ Catalonia UPC, Automat Control Dept, Barcelona, Spain

[3] Inst Robot & Informat Ind CSIC UPC, Barcelona, Spain

来源：

2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2017年

关键词：

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

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：521 / 526

页数：6

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