目前，对滑坡的监测往往是在滑坡体上布置多个监测点，为了充分利用所有的监测数据，提高滑坡预报预测的可靠性，提出采用无重置联邦Kalman滤波技术对滑坡的监测信息进行综合提取并给出一致性描述。该方法具有容错性高、计算量小等特点。实例分析表明：利用该方法对滑坡多传感器监测数据进行融合是可行的。

Currently, the monitoring of landslides is often achieved by arranging multiple monitoring points on the landslide mass. To improve the reliability of landslide prediction making use of all the monitoring data, the technology of no-reset federated Kalman filter is proposed to synthetically extract the monitoring information, and meanwhile the consistent description of landslide is given. This method has such advantages as high fault tolerance and smaller computation. A simulation example shows that it is feasible and effective to apply this method to the fusion of landslide monitoring data of multiple sensors.