中文摘要：

设计一种基于多传感器的列车完整性检测的预警系统,采用基于北斗/INS迭代卡尔曼滤波的列车完整性监测方法：由列车首尾设备采集北斗定位信息、惯性传感器数据,实现松耦合组合结构的列车定位信息融合算法,经由迭代Kalman滤波输出列车首尾的速度及位置信息;同时,通过列尾设备测量得到制动风管处的状态信息,使用阈值表决判决方法对这些信息进行判断识别,输出列车完整性判决结果。实验结果表明该方法切实有效地解决了北斗卫星用于列车完整性监测的精度和连续性、可靠性问题。

英文摘要：

The design of an early warning system for train integrity detection system based on multi sensor is given,which adopts Beidou sensor and INS iteration Kalman filter.Beidou sensor positioning formation and inertial sensor data is collected by the head device and tail device of the train.A fusion algorithm of train positioning data is realized in a combined structure with loose coupling.The position and speed data of train head and tail is output by the iterative Kalman filter.The state data of brake duct can be measured by the tail device.A voting method using threshold judgment is adopted to recognize the outputs to determine train integrity.Experimental results show that the method can effectively solve the precision,continuity,and reliability of Beidou satellite for train integrity monitoring.