基于人工免疫系统的多传感器信息融合在滑坡数据分析中的应用

urrent researches on landslide forecast are to a great extent dependent on the information from some key monitoring points. How to effectively use the information from all the different monitoring points in different parts of the landslide is a basic subject of landslide forecast. After a brief survey of multi-sensor data fusion and AIS with emphasis on data fusion methods and immune algorithm, this paper applies the algorithm of multi-sensor data fusion based on AIS to dealing with the monitoring information, and very successful results are obtained in the case study.