DocumentCode
692992
Title
Research on the limit capacity of the railway transportation based on the swarm platform in the metallurgical enterprises
Author
Chen Jian-qiang ; Xu Hong-ze ; Yu Zhang ; Zhang Lu-ning
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Jiao tong Univ., Beijing, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
2442
Lastpage
2446
Abstract
In the metallurgical enterprises, there exists a prominent contradiction between the demand of the railway transportation and the EFR (existing facilities of railway). To research on the limit capacity of the EFR, this paper constructed a Multi-Agent model based on the MAS (multi-agent system) theory for the RTS (railway transportation system) in the metallurgical enterprises. Take a steel plant as an example. This paper simulated the operation of the RTS in the process of steel production in a year through the Swarm platform, and calculated the fluctuation of the AROR (annual railway occupancy rate), and then analyzed the utilization situation of the EFR and found out the limit capacity of the EFR and the related factors restricted the limit. It provided a theoretical basis for the metallurgical enterprises to make full use of the existing capacity of the RTS by establishing the efficient traffic schemes and to improve the capacity of the RTS by improving the EFR.
Keywords
industrial plants; metallurgical industries; multi-agent systems; production engineering computing; rail traffic; railway engineering; steel manufacture; swarm intelligence; AROR; EFR limit capacity; EFR utilization situation; MAS; RTS; annual railway occupancy rate; existing facilities of railway; metallurgical enterprises; multiagent model; multiagent system theory; railway traffic scheme; railway transportation limit capacity; railway transportation system; software platform; steel plant; steel production; swarm platform; Adaptation models; Conferences; Educational institutions; Force; Reflection; Vehicles; Multi-agent; Swarm platform; limit capacity; metallurgical enterprises; railway transportation; virtual behavior;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885446
Filename
6885446
Link To Document