Visualization tool for industrial production data

Abstract

This paper deals with the design and implementation of software solutions for the acquisition and visualization of data from industrial production. The first part focuses on data collection. This part is implemented on a machine designed to manufacture automobile stabilizer bars, controlled by the TwinCAT 2 system. The following section describes an application developed using the Python programming language. This application allows the user to upload the collected data to a SQLite database, from where it is then queried for visualization purposes.