IOT REMOTE TRACKING AND INCREASED ADAPTIVE FLUCTUATING OPERATION OF THE MAGLEV TRAIN NETWORK MEDIUMLOW SPEED TRAIN

The railway Maglev has reached a rapid stage of development. The related tracking equipment needs to be examined urgently to avoid possible security hazards for the service of maglev trains. Because of a broad Internet of Things (IOT) implementation of intelligent transport, A new suspension control system for medium-sized maglev trains is proposed by the IOT and adaptive fuzzy controller. First, for the suspension system of maglev medium to low-speed trains, a mathematical model was developed. The key structure of the IOT is also integrated and the major components of the Maglev trains are mounted in circuit. This is the source for scraping the preserved historical information and constructing a new archive by an optimized Apriority algorithm. The suspension airgap management law is then derived, based on data collected from the trustworthy database, and the adaptive fuzzy laws are calculated for the maglev train suspension system. A new integrated suspension system has been developed. Finally, tests using a life-sized Maglev train assessment the reliability of the system.