作　　者： (陆晨）; (陈坤杰）;

机构地区： 南京农业大学工学院,江苏南京210031

出　　处： 《传感器与微系统》 2017年第8期85-88,共4页

摘　　要： 针对铁路轨道经常塌陷、事故频发现状,为有效监测轨道塌陷情况,设计了一种基于微机电系统(MEMS)陀螺仪的铁路轨道塌陷监测系统。分析了系统的基本设计原理,以MEMS陀螺仪、GPS模块为姿态测量元件,采用可编程逻辑控制器(PLC)对陀螺仪和全球定位系统(GPS)模块信息进行实时采样,定制了Win CE操作系统的ARM存储控制。同时,应用卡尔曼滤波算法在Matlab上实现陀螺仪和GPS数据融合、消除噪声。系统测试前使用专用水平仪传感器进行静态检测。测试结果表明:在平整和颠簸两种路段下,系统检测值准确可靠。当系统检测出倾角误差绝对值大于0.4°时,能够准确反映塌陷超标并反馈信息。系统符合我国铁路轨道动态检测指标,可广泛应用于铁路轨道塌陷监测。 Facing on the phenomenon of railway track often collapse in some areas,a kind of railway track collapse monitoring system based on MEMS gyroscope is proposed. Basic design principle of the system is analyzed. MEMS gyroscope and GPS module are used as attitude measurement components,adopting programmable logic controller（ PLC） to real-time collect sampling of gyroscope and GPS module information,customizing ARM storage control of Windows CE operating system. Data of gyroscope and GPS are fused,noise is eliminated by using Kalman filtering algorithm on Matlab software. Special level sensor is used for static test before the system test. The test results show that the system has accurate readings on the flat and bumpy road. The system can feedback the results effectively when inclination error is more than 0. 4°. The system conforms to the index of railroad track dynamic detection in China,which can be widely used in railway track subsidence monitoring.

关 键 词： 轨道塌陷 陀螺仪 卡尔曼滤波 倾角误差