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
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;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885446