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Study on the Information Fusion Technology in the Large-Scale Landslide Body Monitoring in Open Pit Mine

机译:露天矿大规模滑坡体监测中的信息融合技术研究

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Monitoring the stability of the reinforced large scale Inndslide body Is one of the most important contents in the open-pit side slope project. To reveal the false appearance that the side slope had been In an accelerate defomation stage leading by the unsteady motion of the Inndslide body, the author designed the method of multi measurement, ud took the Kalman filter as the estimate means, using the centralized and distributed Information fusion technology, took the data coming from several sensors, and converted them to the sue coordinate system by the coordinate and unit alternation, then got the state vectors single-point optimal estimate. In the paper, the author took the B area 2# landslide body in the east deposit of Baiyunebo Iron Mine (BIM) as the study object, monitored anchoring force of the landslide body and the surface displacement, and analyzed the monitoring result with information fusion method. The study Indicated that the analysis result from the information fusion technology was able to get rid of the false Information effectively.
机译:监测大型钢筋混凝土滑坡体的稳定性是露天侧边坡工程中最重要的内容之一。为了揭示因Indslide体的非定常运动导致的边坡加速变形过程中的假象,作者设计了多次测量方法,以卡尔曼滤波器为估计手段,采用集中分布信息融合技术,利用来自多个传感器的数据,通过坐标和单位的交替将其转换为起诉坐标系,进而得到状态向量的单点最优估计。本文以白云鄂博铁矿东矿床B区2#滑坡体为研究对象,监测了滑坡体的锚固力和地表位移,并通过信息融合分析了监测结果。方法。研究表明,信息融合技术的分析结果能够有效消除虚假信息。

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