Smart Data Visualisation as a Stepping Stone for Industry 4.0-a Case Study in Investment Casting Industry

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Cruz, AB (Author) Other; Armando Jorge Sousa (Author) FEUP; Cardoso, A (Author) Other; Valente, B (Author) Other; Ana Reis (Author) FEUP

Conference proceedings International

Title: FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 1

Pages: 657-668

4th Iberian Robotics Conference (Robot) - Advances in Robotics

Porto, PORTUGAL, NOV 20-22, 2019

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00R-DRK

DOI: 10.1007/978-3-030-35990-4_53

Abstract (EN): With present day industries pressing for retrofitting of current machinery into Industry 4.0 ideas, a large effort is put into data production, storage and analysis. To be able to use such data, it is fundamental to create intelligent software for analysis and visualisation of a growing but frequently faulty amount of data, without the quality and quantity adequate for full blown data mining techniques. This article case studies a foundry company that uses the lost wax method to produce metal parts. As retrofitting is underway, modelling, simulation and smart data visualisation are proposed as methods to overcome data shortage in quantity and quality. The developed data visualisation system is demonstrated to be adapted to the requirements and needs of this company in order to approach full automation ideas. Such data visualisation system allow workers and supervisors to know in real time what is happening in the factory, or study the passage of manufacturing orders for a specific area. Data Analysts can also predict machinery problems, correct issues with slow changing deviations and gather additional knowledge on the implementation of the process itself.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12