内容：
 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。研究表明: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。In order to effectively monitor the orbital collapse, a railway track collapse monitoring system based on micro - electromechanical system (MEMS) gyroscope is designed for the frequent collapse of railway track and frequent occurrence of accidents. The basic design principle of the system is analyzed. The MEMS gyroscope and GPS module are used as the attitude measurement components. The programmable logic controller (PLC) is used to sample the information of the gyroscope and the GPS module in real time. The ARM storage control of the Win CE operating system is customized The At the same time, Kalman filter algorithm is used to realize gyroscope and GPS data fusion in Matlab to eliminate noise. Before the system test, use the special level sensor for static detection. The test results show that the system detection value is accurate and reliable under both road conditions and bumps. When the system detects the absolute value of the tilt error is greater than 0.4 °, it can accurately reflect the collapse of excessive and feedback information. The results show that the system is in accordance with the dynamic monitoring index of railway track in China and can be widely used in railway track collapse monitoring.

文件列表（点击上边下载按钮，如果是垃圾文件请在下面评价差评或者投诉）: