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滑坡体的动态变形往往是在在滑坡体上布置多个传感器,属于多点综合观测,但是目前的分析仅依靠某个关键点进行评判,并未考虑仪器自身的因素,容易引起数据信息的流失。为了克服以上不足,开发了滑坡多点原位动态变形分析的MIFS系统,即多传感器智能融合反馈系统。系统采用数据级融合方法,将其应用于西南某滑坡动态变形的监测分析,融合后的数据较为理想,消除了融合前数据的矛盾性和不准确性,获得了被测对象的一致性描述和解释。经分析知:自监测之日起,该滑坡变形经历了缓慢变形期、匀速变形期、加速变形期以及急剧变形期等四个时期,这符合滑坡的工程特性依时性变化规律。工程实例证明了该系统在滑坡动态变形监测与反馈分析中具有有效性和可行性。
The dynamic deformation of landslide is often arranged in the landslide body on the number of sensors, is a multi-point integrated observation, but the current analysis depends on a certain key points to judge, without considering the instrument itself, easily lead to the loss of data . In order to overcome the above shortcomings, MIFS system with multi-point in-situ dynamic deformation analysis of landslide was developed, that is, multi-sensor intelligent fusion feedback system. The system uses the data-level fusion method and applies it to the monitoring and analysis of the dynamic deformation of a landslide in Southwest China. The data after fusion are ideal, eliminating the contradiction and inaccuracy of the data before fusion, and obtaining the consistent description of the measured object and Explanation. The analysis shows that: since the date of monitoring, the landslide has undergone four stages of slow deformation, uniform deformation, accelerated deformation and rapid deformation, which accords with the regularity of the engineering characteristics of the landslide. The engineering example proves that the system is effective and feasible in landslide dynamic deformation monitoring and feedback analysis.