【正文】
rovide high ride fort and high stability track. At present, there is lack of the experience of building highspeed railway through ground settlement area in our country. The effective method of data process and analysis of measured data for settlement monitoring of highspeed railway is urgently need. The process and analysis of settlement monitoring data is further researched to provide effective theory and data support for BeijingShanghai highspeed railway going through ground settlement area safety and stability in this respect of data process, there are no effective methods for gross error position and broken height process in settlement monitoring at present. This reduces the quality of settlement monitoring data. According to this situation, the Kalman filtering is firstly used to effectively detecte gross error in settlement monitoring data. Then the Kalman interactive filtering method and height difference data are used to modify broken height. The experimental results show that the pro