A framework concept for data visualization and structuring in a complex production process
Paper in proceedings, 2019

This paper provides a concept study for a visual interface framework together with the software Sequence Planner for implementation on a complex industrial process for extracting process information in an efficient way and how to make use of a lot of data to visualize it in a standardized human machine interface for different user perspectives. The concept is tested and validated on a smaller simulation of a paint booth with several interconnected and supporting control systems to prove the functionality and usefulness in this kind of production system.

The paper presents the resulting five abstraction levels in the framework concept, from a production top view down to the signal exchange between the different resources in one production cell, together with additional features. The simulation proves the setup with Sequence Planner and the visual interface to work by extract and present process data from a running sequence.

visualization

control systems

data extraction

abstraction levels

framework

simulation

modeling

Author

Anton Albo

Volvo Cars

Chalmers, Electrical Engineering, Systems and control, Automation

Kristofer Bengtsson

Chalmers, Electrical Engineering, Systems and control, Automation

Martin Dahl

Chalmers, Electrical Engineering, Systems and control, Automation

Petter Falkman

Chalmers, Electrical Engineering, Systems and control, Automation

Procedia Manufacturing

2351-9789 (eISSN)

Vol. 38 1642-1651

29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019
Limerick, Ireland,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Embedded Systems

Robotics

Computer Systems

Areas of Advance

Production

DOI

10.1016/j.promfg.2020.01.120

More information

Latest update

4/1/2021 9