Design of Automatic Control System of Urban Rail Train Running Speed Based on Big Data Analysis
In order to improve the operation efficiency of urban rail trains,an automatic speed control system of urban rail trains based on big data analysis is designed.The cloud computing framework is used to build an automated control system,collect the speed and position information of trains and transmit it to the control layer.The intelligent control part of the control layer uses K-means clustering algorithm to cluster the operation data of urban rail trains,build the automatic control and optimization model of train operation speed,identify the train operation state,and cal-culate the best speed curve of trains.Using the grey speed controller,the actuator of the train is controlled to output the ideal speed.The test results of the system show that the stopping time error of the train is less than 10 s and the stopping distance error is less than 15 cm when the system is used to control the train running speed automatically.
big data analysisurban rail trainsoperating speedautomation control systemcloud computing
NETL
NSTL
万方数据
