DocumentCode
2016257
Title
Visualization of an agent-based batch process system
Author
Rodler, M. ; Melik-Merkumians, Martin ; Lepuschitz, W. ; Merdan, M.
Author_Institution
Autom. & Control Inst., Vienna Univ. of Technol., Vienna, Austria
fYear
2013
fDate
25-28 Feb. 2013
Firstpage
1422
Lastpage
1427
Abstract
Current batch process systems have a limited capability concerning agile adaptation in a dynamic environment. Distributed intelligent control systems based on agent technologies are seen as a promising approach to handle the dynamics in large complex systems. However, even though regarded as a promising approach, its wide application in industry is still missing. Lack of trust in the idea of delegating tasks to autonomous agents is recognized as one of the main reasons for this. This paper presents a visualisation tool for an agent-based batch process system able to offer the human user the complete overview of the agents´ activities as well as a possibility to supervise their actions through an adequate Human Machine Interface. The visualization is also compatible with the standard ISA-88. The system is currently being tested and evaluated in the Odo Struger Laboratory at the Automation and Control Institute.
Keywords
batch processing (industrial); data visualisation; distributed control; human computer interaction; intelligent control; large-scale systems; multi-agent systems; process control; production engineering computing; user interfaces; Automation and Control Institute; ISA-88 standard; Odo Struger Laboratory; agent-based batch process system visualization; agile adaptation; autonomous agents; distributed intelligent control systems; dynamic environment; human machine interface; large complex system dynamics handling; visualisation tool; Automation; Batch production systems; Computer architecture; Data models; Data visualization; Industries; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location
Cape Town
Print_ISBN
978-1-4673-4567-5
Electronic_ISBN
978-1-4673-4568-2
Type
conf
DOI
10.1109/ICIT.2013.6505880
Filename
6505880
Link To Document