Industry 4.0 Case Study Big Data Analysis on an Industrial Database

Abstract

A pilot project on an existing production line was accomplished to help to join to industry 4.0 objectives. The essential of the project is a big data analysis, which tries to find new information in the collected complex dataset and find correlation between the product quality inspection data and the data of the production line. Our final mission is to discover the cause of size and figure deviancies of a cylindrical product. One unit of a whole complex production line was investigated with statistical and intelligent data analysis methods. All the products are labelled with a unique identifier, but these were not included in the manufacturing data. The connection of the production line and the quality inspection was established by using the timestamp values. During this research classic statistical methods and smart data analysis methods, SOM data analysis were used. In the examination we could extract some interesting information. The results in the following step are utilizable by an automatic evaluation system, after that the information could be tracked back to the production line.