A method and system for similarity matching of landslide displacement based on motion angle difference

Abstract

A landslide displacement similarity matching method and system based on motion angle difference. The scheme is: to obtain landslide displacement monitoring data, select different landslides in the same area and collect the displacement monitoring data of different monitoring points of each landslide at the same time; The monthly rainfall and reservoir water level data are standardized and normalized to form incentive items; the monthly displacement monitoring data is converted into the corresponding monthly displacement movement angle, and the movement angle difference between adjacent months is calculated to form the state respectively. item and response item; combine incentive item, status item and response item into the matrix to form the status unit of the current month; collect status units of different months from different landslide monitoring points to form a status unit set; use the same method to obtain the status to be matched unit; select the state unit with the smallest weighted Euclidean distance between the state unit set and the pattern vector corresponding to the state unit to be matched as the matching result. The invention predicts the landslide displacement, and the prediction result is accurate, and the application range is wide.

Description

technical field [0001] The invention relates to the technical field of geological landslide disaster monitoring, and proposes a landslide displacement similarity matching method and system based on motion angle difference. Background technique [0002] At present, landslide research mainly focuses on two directions: one is to analyze the relationship between landslides and external factors based on statistical principles; the other is to analyze the mechanism of external factors that induce landslides. To study the essential laws of landslides, it is necessary to classify them according to different attributes, characteristics and appearances, and to summarize the commonalities of similar landslides, so as to better determine the main factors that induce landslide deformation, and then analyze their deformation laws. For the two main research directions of landslides, the similarity analysis of different landslides is particularly important. Only statistical analysis and mec...

AI Technical Summary

Problems solved by technology

If the data of monitoring points with completely different movement conditions are fused, not only the movement form of the landslide cannot be accurately analyzed, but the unique movement characteristics of each will be lost

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