A framework concept for data visualization and structuring in a complex production process
Paper i proceeding, 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

Författare

Anton Albo

Volvo Cars

Chalmers, Elektroteknik, System- och reglerteknik, Automation

Kristofer Bengtsson

Chalmers, Elektroteknik, System- och reglerteknik, Automation

Martin Dahl

Chalmers, Elektroteknik, System- och reglerteknik, Automation

Petter Falkman

Chalmers, Elektroteknik, System- och reglerteknik, Automation

Procedia Manufacturing

2351-9789 (eISSN)

Vol. 38 1642-1651

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

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Inbäddad systemteknik

Robotteknik och automation

Datorsystem

Styrkeområden

Produktion

DOI

10.1016/j.promfg.2020.01.120

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Senast uppdaterat

2021-04-01