Smart Data Visualisation as a Stepping Stone for Industry 4.0 - a Case Study in Investment Casting Industry
| Autor: | Ângela Cardoso, Bernardo Valente, Ana Reis, Ana Beatriz Cruz, Armando Sousa |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Industry 4.0 Computer science business.industry Process (engineering) media_common.quotation_subject 02 engineering and technology Manufacturing engineering Visualization 020901 industrial engineering & automation Data visualization 020204 information systems 0202 electrical engineering electronic engineering information engineering Factory (object-oriented programming) Retrofitting Quality (business) business media_common |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030359898 ROBOT (1) |
| DOI: | 10.1007/978-3-030-35990-4_53 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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