Remote landslide group dynamic monitoring method based on microstructure recognition

Abstract

The invention discloses a remote landslide group dynamic monitoring method based on microstructure recognition. The method includes steps of on-site testing and a data analysis center, the step of on-site testing mainly completes real-time photographing and transmitting of monitoring area landslide group pictures, and the data analysis center performs receiving of the pictures, binarization processing of the pictures, data analysis calculation and storage and landslide danger prewarning, wherein a picture automatic processing procedure is composed of following processes of receiving of the monitoring area pictures, picture binarization processing, binarized picture calculating, binarized picture data analysis, data storage, result display and geological disaster danger prewarning. The method has the advantages that principles are simple, facility construction is easy, specific operations are convenient, monitoring range is wide, equipment investment is low, reutilization can be realized, construction cost is low, all-weather dynamic monitoring can be realized, monitoring data can be timely stored for the convenience of subsequent calling, and the method has high engineering popularization value.

Description

technical field [0001] The invention relates to the field of geological disaster monitoring, in particular to a dynamic monitoring method for remote landslide groups based on microstructure identification. Background technique [0002] my country has a vast territory and complex geological conditions, and the natural geological conditions that affect the development of geological disasters are also diverse. At the same time, geological disasters have wide distribution, many types, and high frequency. Collapses, landslides and debris flows have become the most harmful geological disasters. Especially in recent years, with the rapid development of the national economy, the large-scale construction of various roads, railways, and buildings has formed various artificial slopes, which may induce many landslides. The early stage of landslide monitoring is mainly to infer the possibility of occurrence based on manual observation of surface change characteristics, groundwater, and a...

AI Technical Summary

Problems solved by technology

However, the problems in this monitoring method are as follows: 1. If there are many landslides, the investment of various displacement meters and monitoring devices is huge; 2. There are many monitoring components, and it is necessary to ensure that each component can work normally to ensure the entire monitoring system. It is very difficult to meet such requirements under actual conditions in the field

However, the problems of this monitoring method are as follows: 1. The monitoring range is too small, and only simple types of landslides and slopes can be completed; 2. The fiber grating displacement sensor is expensive, and the investment in components such as pressure cells and dynamometers is huge , not suitable for multiple landslide monitoring

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