Robotic Sorting Line Model using Coloured Petri Net

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918036" target="_blank" >RIV/00216275:25530/21:39918036 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-77442-4_59" target="_blank" >http://dx.doi.org/10.1007/978-3-030-77442-4_59</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-77442-4_59" target="_blank" >10.1007/978-3-030-77442-4_59</a>

Result language
angličtina
Original language name
Robotic Sorting Line Model using Coloured Petri Net
Original language description
With the increasing availability of robots and image processing systems, the automated robotic line implementations are still extensively increasing. As well, the complexity of these systems increases, which increases the demands on the determination of their function and possible analysis. For these purposes the complex robotic systems are modeled. Here, the Coloured Petri Nets were used to model the robotic sorting line. Specifically, the CPN Tools software was used to model creation, simulation, analysis and to made experiments. State space analysis was done to revelation of possible unwanted deadlocks. Furthermore, the sorting line model was used to found out the maximum number of objects that can be sorted in a defined time. As the robot manipulation time directly affects maximum number of objects in one batch, the timing procedure was created to declare robot operation dependency on types of manipulated object. The state space analysis showed that there are no unwanted deadlocks in the system. The model has been verified and declared as correct. Optimal composition and order of objects was successfully found by timed coloured Petri nets experiments.
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Software Engineering and Algorithms : proceedings of 10th Computer Science On-line Conference 2021, Vol. 1
ISBN
978-3-030-77441-7
ISSN
2367-3370
e-ISSN
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Number of pages
18
Pages from-to
709-717
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
ONLINE
Event date
Apr 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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