Abstract
Vehicle-borne battery condition is an important factor affecting the efficiency of the maglev train operation and other connected ones. To effectively eliminate the influence of the battery condition and improve the operation efficiency of the connected maglev trains, an operation control strategy is proposed to guarantee train operation safety. First, based on Internet of Things, a sensor network is designed to monitor vehicle-borne battery condition in each vehicle of the train. Second, the train Operation Control System collects battery data of all vehicles in a maglev train by Train Communication Network. Third, all connected maglev trains share the battery data via a 38 GHz directional Radio Communication System and adjust operation control strategy accordingly. Simulation results indicate that the proposed strategy can guarantee the operation safety of the connected maglev trains.
Highlights
After the introduction of high-speed maglev train Transrapid-08 into Shanghai in 2002 and with the operations of both Airport Line of Changsha in 2016 and S1 Line of Beijing in 2017, maglev transportation system has received more and more attention in China [1, 2]
Vehicle Control System (VCS) requests Decentralization Control System (DCS) to shut off the Propulsion Power-Supply System (PPS) and the train-borne batteries are the only energy source for all train-borne electrical equipment to keep the train running to the Auxiliary Stopping Area (ASA)
In this paper, using Internet of Things (IoT), a sensor network architecture is designed to monitor the vehicle-borne battery condition data in each vehicle; all these data in the train are collected by Operation Control System (OCS) through Train Communication Network (TCN) and connected trains share them via Radio Communication System (RCS)
Summary
After the introduction of high-speed maglev train Transrapid-08 into Shanghai in 2002 and with the operations of both Airport Line of Changsha in 2016 and S1 Line of Beijing in 2017, maglev transportation system has received more and more attention in China [1, 2]. During the following operation for the connected trains, the following train has to adjust the operation control strategy in real-time according to both its self-condition and that of the leading one to prevent it from crashing In these years, with the rapid development of wireless communication and network technique, a wide range of Internet of Things (IoT) applications has been found in many areas such as smart cities [8], spatial crowdsourcing [9], and crowd dynamics management [10]. In this paper, using IoT, a sensor network architecture is designed to monitor the vehicle-borne battery condition data in each vehicle; all these data in the train are collected by OCS through TCN and connected trains share them via RCS.
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